Abstract
Cardiac amyloidosis (CA) is a unique disease entity involving an infiltrative process, typically resulting in a restrictive cardiomyopathy with diastolic heart failure that ultimately progresses to systolic heart failure. The two most common subtypes are light-chain and transthyretin amyloidosis. Early diagnosis of this disease entity, especially light-chain CA subtype, is crucial, as it portends a poorer prognosis. This review focuses on the clinical utility of the various imaging modalities in the diagnosis and differentiation of CA subtypes. This review also aims to highlight the key advances in each of the imaging modalities in the diagnosis and prognostication of CA.
Keywords: cardiac amyloidosis, global longitudinal strain, speckle tracking echocardiography, cardiac MRI, CT cardiac scan, pet scan, DPD scintigraphy
Introduction
Amyloidosis is a heterogeneous disease process of systemic unrestrained deposition of insoluble amyloid protein in the extra-cellular space of multiple tissues (1). The two most common subtypes described are transthyretin (TTR) and light chain (AL) amyloidosis (1–3). TTR amyloidosis encompasses both familial (mutant) TTR and wild-type TTR, whereas AL amyloidosis is usually associated with an underlying plasma cell dyscrasia (1). The types of cardiac amyloidosis (CA) differ based on the type of misfolded amyloid fibril that is deposited within tissues, ultimately impacting on overall clinical progression, prognosis and treatment (2). AL amyloidosis usually involves abnormal light chains as the amyloidogenic precursor whereas TTR amyloidosis involves an abnormal production of the amino acid transthyretin.
AL amyloidosis has a poorer prognosis when compared to TTR amyloidosis, hence treatment frequently involves chemotherapy and organ transplantation whereas TTR amyloidosis involves non-steroid anti-inflammatory medications and targeted therapies (3). CA occurs when misfolded protein is deposited within the myocytes, a phenomenon which generally heralds a poorer prognosis in this population (4). This infiltrative process frequently results in a restrictive cardiomyopathy, prevalent in approximately half of patients affected with the disease (4, 5).
Endo-myocardial biopsy with histopathological diagnosis is the current gold standard diagnostic method, which may not be feasible in certain cases or routinely available at all centers (4). There is an emerging role for non-invasive diagnostic imaging modalities in the diagnosis of CA, with mounting evidence supporting the utility and value of a range of imaging modalities such as echocardiography (TTE), cardiac magnetic resonance imaging (CMR), bone tracer cardiac scintigraphy (Tc99-PYP scan), cardiac computed tomography (CCT), and positron emission tomography (PET-CT) (6). See Table 1 (7–40). There are several gross morphological changes seen in CA, which are typically consistent across many of the imaging modalities and reflective of underlying pathophysiology. Extracellular amyloid infiltration characteristically leads to thickening of the interstitium of the atrial and ventricular myocardium, with relative sparing of the apex (41). The underlying cause of apical sparing has been hypothesized to be due to less amyloid deposition at the apex, and higher myocyte apoptosis in the basal segments (42). Less frequently, amyloidosis can deposit around coronary arteries, conduction pathways and the pericardium (43). CA therefore has a proclivity to the myocardium, resulting in bi-ventricular wall thickening, with resultant loss of ventricular elasticity. Early disease manifestations include impaired relaxation with preserved myocardial systolic function, progressing to systolic failure with incessant deposition (44). Nonetheless, arriving at the diagnosis can frequently be challenging particularly in the absence of systemic disease (5, 31). The biggest challenge relates to differentiating CA in the early stages of disease process from other common differential diagnoses, namely hypertrophic cardiomyopathy, aortic stenosis, ischemic cardiomyopathies, Fabry's disease and cardiac remodeling from other secondary processes. Therefore, the final diagnosis of CA may require the integration of data from a number of imaging modalities. Moreover, the various imaging modalities have varied sensitivities and specificities for the detection of the different types of amyloidosis secondary to the underlying pathophysiological mechanism of disease, e.g., CMR is more established for the diagnostic workup in AL amyloidosis due to the greater interstitial expansion in cardiac tissue (45), as compared to Tc99-PYP cardiac scan which has a greater role in the diagnosis of TTR amyloidosis. Bone imaging agents such as Tc99-PYP scanning has a higher specificity and sensitivity for TTR amyloidosis as they are easily taken up by a unique calcium mediated mechanism (46). The exact mechanism is largely unknown but is hypothesized to be due to binding of calcium in TTR amyloidosis fibrils to the phosphate domains in injected tracers (47).
Table 1.
Study | Year | Study Design | Patient (n) | Imaging modality | Findings |
---|---|---|---|---|---|
Salman et al. (7) | 2017 | Retrospective | 26 Unspecified subtype |
TTE | CA patients had increased left atrial area (23.7 ± 7.5 cm2 vs. 18.5 ± 4.8 cm2, p = 0.04) greater interventricular wall thickness (14.4 ± 2.6 mm vs. 9.3 ± 1.3 mm, p < 0.001), lower e′ (0.06 ± 0.02 m/s vs. 0.09 ± 0.02 m/s, p < 0.001) when compared to controls |
Boldrini et al. (8) | 2013 | Retrospective | 198 | TTE | h-TTR patients have a higher indexed LV mass when compared to AL-CA patients (213 ± 59 vs. 161 ± 51, p < 0.001) |
Pagarouelias et al. (9) | 2017 | Prospective | 100 AL 26 h-TTR 5 wt-TTR 9 HCM 40 Hypertension 20 |
STE | EF:GLS ratio is effective in discriminating CA (AUC, 0.95; 95% CI: 0.89–0.98; p < 0.01) |
Barros Gomes et al. (10) | 2017 | Prospective | 150 | STE | GLS ≥ −14.81 independently predicts all-cause mortality in AL-CA [hazard ratio: 2.68; 95% CI: 1.07–7.13; p = 0.03] |
Pun et al. (11) | 2018 | Retrospective | 82 | STE | Predictors of survival in AL-CA include IVS diameter (HR: 1.29, 95% CI: 1.12–1.49, p = 0.0003) E/A ratio (HR: 2.70, 95% CI: 1.81–4.02, p < 0.0001) Lateral E/E' ratio (HR: 2.43, 95% CI: 1.45–4.08, p < 0.0008) |
Senapati et al. (12) | 2016 | Retrospective | 97 Unspecified subtype |
STE | High relative regional strain ratio is an adverse prognostic factor in CA (p = 0.018) and independently predicts 5-year outcomes [HR 2.45 (1.36–4.40), p = 0.003]. |
Clemmensen et al. (13) | 2020 | Retrospective | 155 Unspecified subtype |
Myocardial Work | LV pressure-strain-derived myocardial work was significantly reduced in cardiac amyloid, compared with healthy control (p < 0.0001) |
Clemmensen et al. (14) | 2018 | Prospective | 35 AL CA 10 h-TTR 5 wt-TTR 10 Control 10 |
Myocardial Work | Myocardial work efficiency was significantly reduced in cardiac amyloid, compared with healthy control (13 ± 5% vs. 22 ± 5%; p < 0.0001) |
Fontana et al. (15) | 2015 | Prospective | 250 | CMR | Transmural LGE more prevalent in ATTR (subtype unspecified) than AL (63% vs. 27%, p < 0.0001) Subendocardial LGE more prevalent in AL than ATTR (39% vs. 24% < 0.05) Transmural LGE is a significant predictor of mortality (HR, 5.4; 95% CI: 2.1–13.7; p < 0.0001) Survival at 24 months is decreased in patients with transmural enhancement, compared to subendocardial enhancement, and compared to no enhancement (60% vs. 80% vs. 90%) |
Dungu et al. (16) | 2014 | Retrospective | 97 wt-TTR 28 h-TTR 23 AL 46 |
CMR | Left ventricular mass increased in TTR compared with AL-CA (202–267 g vs. 137–191 g, p < 0.0001) Transmural LGE demonstrated in 90% of TTR compared with 37% of AL-CA (p < 0.0001) |
Hosch et al. (17) | 2007 | Retrospective | 19 Unspecified subtype |
CMR | Patients with CA have increased native T1 relaxation time compared with control [Mean ± SD (95% CI:) 1,340 ± 81 (1,303–1,376) ms vs. 1,146 ± 71 (1,096–1,196) ms, p < 0.0001] |
Fontana et al. (18) | 2014 | Prospective | 172 | CMR | T1 relaxation time is greater in AL compared with ATTR (subtype unspecified) (AL 1,130 ± 68 ms vs. ATTR 1,097 ± 43 ms, p = 0.01). T1 tracked cardiac amyloid burden determined by DPD scintigraphy (p < 0.0001) |
Karamitsos et al. (19) | 2014 | Prospective | 53 | CMR | Elevated T1 relaxation time correlates with decreasing LVEF (r = −0.57, p < 0.001), increasing LVMI (r = 0.58, p < 0.001), increasing E/E' ratio (r = 0.45, p = 0.001), and shortened E deceleration time (r = −0.44, p = 0.002) in patients with AL-CA |
Ridouani et al. (20) | 2018 | Prospective | 44 AL 24 wt-TTR 11 h-TTR 9 |
CMR | Myocardial T2 relaxation times increased in AL-CA compared with ATTR (63.2 ± 4.7 ms vs. 56.2 ± 3.1 ms, p < 0.0001). ECV was the best predictor of outcome (HR 1.66 per 0.1 increase in ECV (1.24–2.22); p = 0.0006 |
Kotecha et al. (21) | 2018 | Prospective | 286 Unspecified subtype |
CMR | Myocardial T2 was highest in untreated AL patients (untreated AL amyloidosis 56.6 ± 5.1 ms; treated AL amyloidosis 53.6 ± 3.9 ms; ATTR amyloidosis 54.2 ± 4.1 ms; each p < 0.01 compared with control subjects: 48.9 ± 2.0 ms). T2 predictive of mortality in AL following correction for ECV and pro-BNP (HR 1.32; 95% CI: 1.05–1.67) |
Barison et al. (22) | 2014 | Prospective | 36 Unspecified subtype |
CMR | Cardiac ECV was higher in patients with amyloid in comparison to controls (0.43 ± 0.12 vs. 25 ± 0.04, P < 0.05). Cardiac ECV in patients without late gadolinium enhancement was significantly higher than controls (0.35 ± 0.10 vs. 25 ± 0.04, p < 0.05). Myocardial ECV > 0.316 has a sensitivity of 79% and specificity of 97% for discriminating amyloid patients from controls (AUC 0.884). |
Banypersad et al. (23) | 2012 | Prospective | 60 | CMR | ECV (determined with gadolinium enhanced T1 mapping) is elevated more significantly in AL-CA than in controls (0.40 vs. 0.25, p < 0.001). ECV was correlated with cardiac parameters by echocardiography (e.g., Tissue Doppler Imaging [TDI] S-wave R = 0.52, P < 0.001) and conventional cardiovascular magnetic resonance (e.g., indexed left ventricular mass R = 0.56, P < 0.001). |
Banypersad et al. (24) | 2015 | Prospective | 100 | CMR | Mean ECVi was raised in AL-CA (0.44 ± 0.12) as was ECVb (mean 0.44 ± 0.12) compared with healthy volunteers (0.25 ± 0.02), P < 0.001 Native pre-contrast T1 was raised in AL-CA (mean 1,080 ± 87 ms vs. 954 ± 34 ms, P < 0.001). ECV is an independent predictor for mortality (HR = 4.41, 95% CI: 1.35–14.4) |
Williams et al. (25) | 2017 | Retrospective | 45 Unspecified subtype |
CMR | LGE burden, as determined by CMR-longitudinal strain, is reduced at the apex, compared to basal segments 31.5 ± 19.1% vs. 53.7 ± 22.7%; p < 0.001). LGE percentage showed a significant impact on LS (p < 0.0001), with a 0.9% decrease in absolute LS for every 10% increase in LGE percentage. |
Tavoosi et al. (26) | 2020 | Retrospective | 144 | CMR | An abnormal nulling pattern was 100% specific and 40.6% sensitive for cardiac amyloidosis (AUC 0.703, 95% CI: 0.642–0.764), but no significant difference between the subtypes of AL-CA, h-TTR and wt-TTR. |
Perugini et al. (27) | 2005 | Retrospective | 25 h-TTR 10 wt-TTR 5 AL 10 |
Bone tracer scintigraphy | Heart and heart/whole-body tracer retention were significantly higher (p < 0.05) in TTR patients as compared with AL patients. |
Bokhari et al. (28) | 2013 | Prospective | 45 AL 12 wt-TTR 16 h-TTR 17 |
Bone tracer scintigraphy | A heart/contralateral ratio ≥ 1.5 was 97% sensitive and 100% specific for cardiac ATTR (AUC 0.992, P < 0.0001) in comparison to AL patients. |
Castano et al. (29) | 2016 | Retrospective | 229 wt-TTR 72 h-TTR 37 AL 34 |
Bone tracer scintigraphy | Tc99m PYP imaging was 91% sensitive and 92% specific for cardiac TTR (AUC 0.960, 95% CI: 0.930–0.981) A heart/contralateral ratio ≥1.6 was associated with a poorer prognosis (HR 7.913, 95% CI: 1.679–37.296, p = 0.01) |
Gilmore et al. (30) | 2016 | Prospective | 1217 wt-TTR 304 h-TTR 258 |
Bone tracer scintigraphy | Any degree of uptake had a >99% sensitivity for cardiac ATTR (95% CI: 97–100) High grade uptake, when combined with a negative triple test had a specificity of 100% (positive predictive value CI: 99.0–100%) |
Scully et al. (31) | 2020 | Retrospective | 100 wt-TTR 34 h-TTR 16 AL 3 |
Bone tracer scintigraphy | As determined by SPECT/CT, peak SUV > 1.7 had sensitivity of 100% and specificity of 75% for CA [AUC of 0.999 (0.996–1.000)] SUV retention index > 0.14 has a sensitivity of 100% and specificity of 75% for CA [AUC of 0.999 (0.997–1.000)] |
Musumeci et al. (32) | 2020 | Retrospective | 55 | Bone tracer scintigraphy | CA associated with the Pheo64Leu TTR mutation is detected with a sensitivity of only 10.5% by 99mTc-DPD or 99mTc-HMDP bone scintigraphy |
Takasone et al. (33) | 2020 | Prospective | 47 AL 17 wt-TTR 8 h-TTR 22 |
PET | Positive 11C-PIB uptake on PET, combined with negative corresponding 99mTc-PYP uptake on scintigraphy was seen in all patients with AL-CA Positive 99mTc-PYP uptake, combined with negative corresponding 11C-PIB uptake was seen in all patients with wt-TTR |
Antoni et al. (34) | 2012 | Retrospective | 10 AL 7 wt-TTR 1 |
PET | 11C-PIB retention index was significantly higher in amyloidosis, compared with control (mean RI 0.054−1 min vs. 0.025 min−1, p = 0.0007) |
Dorbala et al. (35) | 2013 | Prospective | 14 Unspecified subtype |
PET | 18F-florbetapir retention index was significantly higher in amyloidosis, compared with control (RI median 0.043 min−1 vs. 0.023 min−1, p = 0.0002) |
Dietemann et al. (36) | 2019 | Prospective | 12 Unspecified subtype |
PET | As assessed using 18F-flutametamol PET, target to background ratio (myocardial/blood pool mean SUV ratio) was significantly higher in CA than control [1.46, interquartile range 1.32–2.06 vs. 1.06, interquartile range 0.72–1.1 (p = 0.033)] |
Rosengren et al. (37) | 2020 | Prospective | 51 | PET | Assessment of SUV retention and retention index of 11C-PIB uptake was 94% sensitive (95% CI: 80–99%) for CA and 93% specific (95% CI: 66–100%) when differentiating from controls. 11C-PIB uptake was significantly higher in AL-CA than in TTR-CA patients (p < 0.001) |
Lee et al. (38) | 2020 | Prospective | 41 | PET | Increased 11C-PIB uptake in AL-CA was associated with poorer clinical outcomes (adjusted HR: 1.185; 95% CI: 1.054–1.332; p = 0.005) |
Cheyance et al. (39) | 2017 | Retrospective | 45 Unspecified subtype |
Cardiac CT | 5 min iodine ratio > 0.65 was 100% sensitive and 92% specific for CA. The area under the curve of 5 min iodine ratio for the differential diagnosis of CA from HOCM patients was 0.99 (0.73–1.0; p = 0.001) |
Treibel et al. (40) | 2015 | Prospective | 53 Unspecified subtype |
Cardiac CT | ECV as assessed by cardiac CT was higher in amyloidosis than AS (0.54 ± 0.11 vs. 0.28 ± 0.04, p < 0.001) ECVCT tracked clinical markers of cardiac amyloid severity and bone scintigraphy amyloid burden (p < 0.001) |
TTE, Transthoracic Echocardiography; CA, Cardiac Amyloidosis; h-TTR, Hereditary Transthyretin; AL-CA, Light Chain Cardiac Amyloidosis; STE, Speckle Tracking Echocardiography; LV, Left Ventricle; EF, Ejection Fraction; GLS, Global Longitudinal Strain; AUC, Area Under Curve; IVS, Interventricular septum; wt-TTR, Wild-type Transthyretin; LGE, Late Gadolinium Enhancement; CMR, Cardiovascular Magnetic Resonance; DPD, 3,3-diphosphono-1,2-propanodicarboxylic acid; LVEF, Left Ventricular Ejection Fraction; LVMI, Left Ventricular Mass Indexed; ECV, Extracellular volume; TDI, Tissue Doppler Imaging; ECVi, ECV at contrast equilibrium; ECVb, ECV at 15-min post-bolus; PYP, pyrophosphate; SPECT, Single-photon emission computed tomography; SUV, Standardized Uptake Value; PET, Positron Emission Tomography; 11C-PIB, (11)C-labeled Pittsburgh Compound-B; HOCM, Hypertrophic Obstructive Cardiomyopathy; CT, Computerized Tomography.
The aim of this review is to examine the role of each of the imaging modalities utilized in the diagnosis of the two subtypes of CA focusing on the utility of latest techniques available for the diagnosis of amyloidosis.
Echocardiography
Transthoracic Echocardiography
TTE is an easily accessible and first line investigative modality that provides an effective two-dimensional measure of cardiac structure and function, routinely is frequently the initial investigative modality for CA. The advantages of TTE include widespread availability, low cost, portability and lack of ionizing radiation, but is limited by patient factors such as body habitus and technical expertise (48). It is useful in the detection of the gross morphological changes seen in this disease such as the echogenic appearance of the myocardium, increased LV wall thickness (IVSd > 12 mm) in the absence of significant LV dilatation and the presence of systolic and/or diastolic dysfunction (49) (Figures 1A,B). The classical pathognomonic TTE finding of “starry and speckled” appearance is historically associated with echogenic proteins that enhance more than the surrounding myocardium in this disease process, but this finding has variable sensitivity and specificity (49). These gross morphological changes are often reflective of more advanced stages of CA.
Measures of LV systolic function such as LV ejection fraction (LVEF), are usually preserved early in the disease process. Typically, impairment of LVEF is usually only apparent in the late-stage of the disease process and is associated with progressive pump failure (41, 49). Indices of diastolic dysfunction may be indicative of early stages of the disease prior to the detection of gross morphological changes but may be non-specific (50) (Figures 1E–G). A higher E/e' and a larger left atrial area, reflective of diastolic dysfunction has been reported in patients with amyloidosis which is attributed to increased stiffness in the myocardium as a result of amyloid protein deposition (7). Additionally, a greater reduction in deceleration time of early filling, and a lower indexed LV mass, have been reported in AL in comparison to TTR amyloidosis, assisting the differentiation of the two pathologies (8) (Figure 1H). Some of these morphological changes, i.e., inter-ventricular septal diameter and measures of diastolic function, i.e., mitral E', E/A ratio and lateral E/e' ratio have been associated with prognosis (11).
Speckle Tracking Echocardiography
Measures of myocardial deformation indices, i.e., strain and strain rate have been shown to be sensitive in the detection of subclinical impairment of LV systolic function. STE specifically assesses for the LV contraction in the long-axis using global longitudinal strain (GLS), a sensitive measure for the detection of myocardial deformation (51, 52). As such, CA presents with an “apical sparing pattern” that is evident on GLS (Figures 1C,D). Calculations such as the EF:GLS ratio have up to 90% sensitivity and specificity in the diagnosis of CA and has been shown to be the best performance discriminator for CA (AUC, 0.95; 95% CI: 0.89–0.98; p < 0.01), independent of disease subtype (9).
In addition to diagnostic utility, GLS can be used as a predictive marker for cardiovascular morbidity and mortality. GLS has been shown to have strong prognostic relevance that can predict all-cause mortality in AL amyloidosis, especially with values less than −14.8% (10). Advanced CA with a GLS<17% have been shown to have a 100% 5-year mortality rate, whereas those with a GLS>17% have a 100% survival rate; further highlighting the short- and long- term prognostic value of GLS in this group (11). These changes in GLS have subsequently been demonstrated to be potentially useful in identification of patients who may be eligibility for hematopoietic stem cell transplant in the AL subgroup (11). Measurements such as relative regional strain ratio, have also been proposed to have prognostic value (12).
There is now emerging evidence highlighting a potential role for myocardial work indices, novel TTE measures of LV systolic function, derived from LV pressure-strain loop analysis, which may be more sensitive than GLS in the diagnosis and prognostication of amyloidosis (13, 14). There is emerging data demonstrating that myocardial external efficiency and total myocardial oxygen consumption are reduced in patients with CA and is associated with abnormal systolic function (13, 14). Hence, despite the limitations of TTE, it is still an invaluable first line investigative tool for the diagnosis and prognostication in those with CA.
Cardiac Magnetic Resonance Imaging
The utility of CMR is well established in patients with suspected CA and plays an important role in the diagnosis of CA. Despite the limitations of cost, availability and occasional barriers pertaining to non-conditional cardiac devices or severe renal failure, the multi parametric imaging techniques in CMR allow for superior assessment of cardiac structure, function and tissue characterization making it an extremely useful tool in establishing diagnosis (6). The typical CMR findings include globally increased wall thickness, restrictive LV pattern (non-dilated ventricles, preserved LV function, enlarged atria, restrictive filling pattern) global sub-endocardial LGE, atrial septal hypertrophy, increased native T1 mapping values, presence of abnormal myocardial and blood-pool gadolinium kinetics, mild pericardial and pleural effusions (53) (Figure 1I).
Late Gadolinium Enhancement on CMR
Late Gadolinium Enhancement (LGE) is a CMR finding that occurs due to fibrosis and subsequent expansion of the extracellular space, where the mechanism of LGE in CA is due to infiltration of the amyloid protein (15) (Figures 1J,L). The distribution of delayed enhancement is important as post-ischemic myocardial scar usually involves sub-endocardial or transmural layers, distinct from non-ischemic myocardial diseases that involve global endocardial layers, an important point for differentiating these pathologies (54). A recent systematic review found LGE in any distribution to have a pooled sensitivity of 93% in diagnosing CA, with a reference standard of histology from any organ (55). In amyloidosis, LGE occurs in 3 possible patterns: no LGE, sub-endocardial enhancement, and transmural enhancement, typically occurring along a spectrum. The pattern of LGE may also be useful in differentiating the two subtypes of CA. Fontana et al. demonstrated transmural LGE to be more prevalent in TTR amyloidosis (63% in TTR amyloid vs. 27% in AL amyloid; p < 0.0001), as opposed to sub-endocardial LGE which appears to be more prevalent in AL amyloidosis (24% in TTR amyloid vs. 39% in AL amyloid; p < 0.05) (15). The Query Amyloid Late Enhancement (QALE) score has been shown to be a powerful prognostic indicator in patients with AL amyloidosis, especially for patients with presence of sub-endocardial LGE pattern, and therefore can guide management (56). Similarly, transmural patterns of LGE have accurately been shown to distinguish TTR from AL amyloid with a high degree of accuracy (p < 0.001) (16). Interestingly, Dungu et al. (16) have also shown that right ventricular LGE and atrial LGE is more present in patients with TTR amyloid compared to AL amyloid patients, highlighting the more global effect in TTR amyloid.
Patterns of LGE has also been associated with prognosis with transmural LGE, in AL amyloidosis patients is associated with the poorest prognosis (15, 53). The probability of survival at 24 months in the transmural enhancement group has been shown to be approximately 60% compared with 80% in the sub-endocardial enhancement group, and 90% in the group with no enhancement (15). This may simply reflect the chronicity of the CA disease process- with transmural involvement indicating a longer antecedent disease phase.
CA has also been shown to have a characteristic abnormal pattern of global sub-endocardial late enhancement and abnormal myocardial and blood-pool gadolinium kinetics (53). Patients with CA also have a shorter myocardial nulling time (T1), a longer blood pool T1 and lower post-contrast T1 in comparison to controls, representative of overall myocardial amyloidosis load (22, 53). Normally, myocardium nulls after blood (TI difference >0) in post-contrast LGE images, whereas myocardial nulling before the blood pool (reversed nulling pattern, TI difference <0) is a typical sign of amyloidosis, which has been significantly correlated with higher extracellular volume (ECV) (15, 53). It is often difficult to determine the optimal TI to null myocardium in CA. Conflicting results on morphology and LGE previously reported in the literature were largely explained by misleading findings using the magnitude-only inversion recovery (MAG-IR) LGE technique (15). Nowadays, the widely available LGE technique, phase-sensitive inversion recovery (PSIR), may be helpful in addressing the nulling problems and is the preferred LGE technique to investigate CA, while also providing incremental prognostic information (15).
T1 and T2 Mapping
Amyloidosis frequently affects the renal system, limiting the use of gadolinium-based agents and assessment of LGE, especially in populations with severe renal impairment (eGFR ≤ 30) (57). Non-enhanced (Native) T1 mapping is a useful quantitative adjunct for the diagnosis of CA, particularly through assessment of degree of fibrosis. As such, Hosch et al. (17) have demonstrated that the myocardium of patients with CA have a significantly increased native T1 relaxation time when compared with control. Additionally, Fontana et al. (18) demonstrated the elevation in T1 is more pronounced in AL amyloidosis when compared with TTR amyloidosis, once again allowing for discrimination of the two subtypes of CA (Figure 1K).
Findings on standard two-dimensional TTE, such as LVEF, LVMI, and E/E' ratio, also correlate strongly with CMR-T1 assessment (19). In addition to this, patients with amyloidosis, without cardiac involvement, also have significantly elevated T1 myocardial relaxation times compared with controls (19). These findings suggest that T1 mapping may have some utility in detecting very early cardiac involvement in patients with a high pre-test probability. Natïve T1 mapping enables differentiation of CA from phenotypically similar Anderson Fabry disease, with the two having diametrically opposite Native T1 times (the fatty infiltration in Anderson-Fabry disease leads to significantly lower T1 time compared to the elevated T1 time seen in CA) as shown by Sado et al. (58).
In addition to T1, native T2 mapping has also been proposed as a potential imaging tool in the diagnosis and characterization of CA. Ridouani et al. (20) demonstrated significantly increased T2 relaxation times in AL, in comparison with TTR amyloidosis, suggestive of a more pronounced myocardial oedema in AL subtype, which may prove a useful non-invasive adjunct to distinguish between the two pathologies. Kotecha et al. (21) found T2 to be predictive of mortality in AL, but not in TTR, even after statistical adjustment for ECV and pro-BNP. Therefore, T2 mapping may have added utility in the diagnosis and prognostication of patients with AL amyloidosis. Other important CMR differentiators for AL amyloidosis from TTR amyloidosis include a higher LVEF, lower LV mass indexed, lower interventricular septal diameter, lower RV free wall thickness and lower bi-atrial areas (16).
One of the main limitations of native mapping (which is more pronounced in T1 compared to T2) is the heterogeneity in reported reference ranges. This is likely due to multiple determinants including specific mapping sequences used, the field strength of the magnet and the inability to distinguish interstitial from myocyte signal intensity (59). This limitation has resulted in recent guidelines recommending each site develop local reference ranges (60). Furthermore, increased myocardial native T1 times, indicative of cardiac fibrosis, may not be specific to amyloidosis since increased myocardial native T1 times have also been detected in early stages of chronic kidney disease. Similarly, the reference range for normal Native T1 in patients with chronic kidney disease is also not well established (60).
Extracellular Volume
Another measure that potentially facilitates the early detection of CA is the determination of ECV using gadolinium enhanced T1 mapping (both pre-contrast Native T1 and post-contrast T1). ECV is less dependent upon sequence than Native T1 mapping. ECV appears to expand more significantly in amyloidosis, compared to other pathologies; namely diffuse fibrosis processes or non-ischaemic cardiomyopathy (61). One study by Banypersad et al. (23) found significant ECV elevations in patients with confirmed cardiac involvement, compared to healthy controls. Patients with TTR amyloidosis demonstrate a higher ECV in comparison to patients with AL amyloidosis, and this is largely explained by increase cell hypertrophy and hyperplasia in the interstitium (62). ECV also correlated strongly with the presence of LGE (23), and in a recent meta-analysis, was found to have a superior diagnostic performance (51). ECV therefore may be an independent predictor for mortality, (24) and a stronger predictor of outcomes in comparison to LGE and native T1 (63), hence recommended to be routinely assessed in patients with suspected amyloidosis. The limitations in ECV include requiring a haematocrit which should be performed as close in temporal proximity to the CMR acquisition (60).
CMR Longitudinal Strain
CMR longitudinal strain as assessed by VVI Version 3.0.0 (Siemens) has been shown to appropriately track endocardial and epicardial contours. CMR strain and strain rate have been proposed as sensitive measures to detect early regional myocardial dysfunction in patients with CA. CMR-longitudinal strain has been shown to accurately demonstrate the characteristic apical sparing and base-to-apex gradient, as previously described on TTE (25). Furthermore, CMR strain analysis can assist with diagnosis of LGE-positive CA with measures such as peak circumferential strain described as more sensitive that LGE assessment in early stages of the disease (64). Additionally, basal segment strain parameters have also been shown to accurately identify presence of cardiac involvement in patients with systemic amyloidosis (65).
Nuclear Imaging
Bone Tracer Cardiac Scintigraphy
Tc99-PYP scanning is a sensitive imaging modality for identifying presence of TTR subtype of CA. It is performed with various technetium-99m-labeled phosphonates; including 99mTc- 3,3-diphosphono-1,2-propanodicarboxylic acid (DPD), 99mTc-PYP, and 99mTc-labeled HDMP. TTR amyloidosis has been shown to have avidity for these radiotracers, whilst AL amyloidosis has at most minimal avidity (27). The semi-quantitative Perugini visual scoring system (2005) is widely used and compares the degree of cardiac uptake with bone uptake; where Score 0 correlates with absent cardiac uptake with normal bone uptake; Score 1 correlates with mild cardiac uptake which is inferior to bone uptake; Score 2 correlates with moderate cardiac uptake with attenuated bone uptake and Score 3 identifies strong cardiac uptake with mild or absent bone uptake (27, 66). A quantitative assessment can also be performed by calculating the heart to contra lateral (H/CL) ratio, using a region of interest over the heart, and another over the contralateral hemi-thorax (67). Using this ratio, Bokhari et al. (28) have determined that a H/CL ratio>1.5 was 97% sensitive and 100% specific for TTR amyloidosis. Furthermore, a H/CL ≥ 1.6 has also been shown to be associated with poorer prognosis amongst those with TTR (29). Therefore, similar to other cardiac imaging modalities, bone-tracer cardiac scintigraphy metrics provide both diagnostic and prognostic information in patients with CA.
Gillmore et al. (30) described >99% sensitivity for TTR amyloidosis with any degree of cardiac uptake, however specificity was reduced to 68% due to a low level of uptake in some patients with AL amyloidosis. The specificity of diagnosing TTR amyloidosis increases to 97% with only high-grade uptake (Perugini Score 2–3). Furthermore, the addition of high-grade uptake with a negative “triple test” (serum and urine immune-fixation, and serum free light chain assay), results in a specificity of 100%, potentially mitigating biopsy requirement in such populations. Similar to the typical “apical sparing” seen on TTE, TTR characteristically has increased radionuclide uptake in the mid and basal segments when compared to apical segments (68, 69).
Single-photon emission computed tomography (SPECT)/CT assessment may offer improved diagnostic accuracy in addition to the conventional planar images on nuclear scans. A retrospective study assessing SPECT/CT quantification of DPD-scintigraphy found that the peak standardized uptake value (SUV) increased from Perugini grade 0–2 (p < 0.001), thereby increasing the diagnostic accuracy. Furthermore, the SUV retention index calculated on the peak SUVs of cardiac tissue, vertebra and para-spinal muscle, was found to increase across all grades. Cut-offs of peak SUV > 1.7 and SUV retention index > 0.14 detected presence of CA with a sensitivity of 100% and specificity of 75%, superior to conventional planar quantification where a H/CL ratio > 0.97 was described to have only a 100% sensitivity but only a 38% specificity (31). Therefore, the implementation of SPECT/CT to DPD scanning adds accuracy to the diagnostic process of CA.
While bone scintigraphy appears to be an overall effective method for identifying TTR amyloidosis, there is emerging evidence that this may not apply to all variants. CA associated with the “Pheo64Leu TTR” mutation, for example, was detected with a sensitivity of only 10.5%, with majority of the cohort having absent or low uptake (32). These findings highlight the emerging role of SPECT/CT in the diagnostic process for the majority of subtypes of CA.
Positron Emission Tomography
Cardiac PET scans involve a nuclear technique that measures physiological blood flow and metabolism of myocardial tissue and has been shown to have diagnostic value in CA (36) (Figures 1M–O). Several pilot studies have found PET imaging to be effective as a tool in both diagnosing CA, and useful in differentiating between TTR and AL amyloidosis (35–37). Whilst Fludeoxyglucose (FDG)-PET scans have been shown to have high organ uptake in patients with AL amyloidosis, they carry overall low sensitivity and specificity rates, as they have low differentiation between physiological and pathological uptake (70). Despite the low availability in most centers, increased uptake of 11-C-Pittsburgh compound B (11c-PiB), 18F-florbetapir, 18F-florbetaben and 18F-flutemetamol via PET have been shown in patients with CA compared to control populations (34–36, 71). A recent meta-analysis of six studies with 98 patients demonstrated a high pooled sensitivity of 95% and specificity of 98% (72). Furthermore, Rosengren et al. (37) demonstrated 11cPiB PET to carry 100% diagnostic accuracy for AL amyloidosis (95% CI: 88–100%), which was also significantly higher when compared to the TTR population (p < 0.001). In addition, Lee et al. (38) found increasing 11c-PiB uptake to be associated with poorer clinical outcomes (adjusted HR: 1.185; 95% CI: 1.054–1.332; p = 0.005).
Cardiac Computed Tomography
There is currently limited evidence for the role of cardiac computed tomography (CCT) in the diagnosis of CA, despite its wide utility in combination with nuclear imaging. The majority of evidence lies with myocardial iodine ratios, which involve the assessment of myocardial iodine concentration (MIC) approximately 5 min after peripheral iodine administration, done on pre-contrast, arterial and 5 min dual-energy computed tomography acquisition. As several studies have demonstrated a link between myocardial attenuation and iodine administration in patients with CA, MIC thereby provides a quantitative measure of total myocardial involvement (73). MIC has been shown to accurately distinguish CA from other subtypes of cardiomyopathies with a high sensitivity rate of 100% and specificity of 92% (39). Second to this, myocardial ECV as assessed by CCT has been shown to accurately correlate with amyloid burden as assessed by bone scintigraphy (40). Further studies in CCT are required to appropriately demonstrate its effectiveness and utility in the diagnostic process.
Dual Aortic Stenosis and Cardiac Amyloid Pathology
In addition to appropriate diagnosis of CA, it is also imperative to identify other disease processes, such as aortic stenosis (AS), through non-invasive imaging modalities. Calcific AS, similar to CA, manifests both clinically and phenotypically as a disease of the elderly population. A meta-analysis of 609 patients by Ricci et al. (74) showed that the presence of dual AS-CA had a 9% prevalence, consisting of 100% TTR amyloidosis patients. The presence of dual AS-CA pathology has additionally been associated with a poorer prognosis, in comparison to CA alone (median survival 22 vs. 53 months) and therefore should be considered in all cases (75, 76). Baseline TTE parameters suggestive of CA, distinct from AS include an elevated RA diameter, lower AV pressure gradient, higher tricuspid regurgitant grade, lower stroke volume index and higher LV mass indexed (77). Some of the important CMR findings include stroke volume index and ECV, which have both been shown to reliably differentiate AS from CA-AS, with a discriminative power of 0.773 and 0.756 AUC, respectively (77). Other CMR findings that are more suggestive of CA include severe LV increased wall thickness, the presence of global transmural LGE, elevated native myocardial T1, ECV > 50%, and a greater reduction in myocardial contraction fraction (76). On cardiac CT, a higher myocardial ECV has been shown to reliably identify the presence of AS-CA, outperforming conventional TTE, as shown by Scully et al. (78). Similarly, on DPD bone scintigraphy, occult wt-TTR CA has been shown to have a prevalence of 6% in patients with calcific-AS (79). These findings highlight the importance of identification and differentiation of these two pathologies, as it may impact on clinical and surgical management options.
Conclusion
The diagnosis of CA is often challenging, but there is a large body of emerging evidence for the role of multimodality imaging in achieving the diagnosis with higher sensitivity and specificity. The development of novel techniques with unique qualities have now even allowed for the differentiation between CA from other cardiomyopathies, identification of the different subtypes of CA and prognostication in these patients. The role of multi-modality imaging for the diagnosis of CA is also growing, but further studies in this field are clearly required to better delineate the optimal investigative tools for the diagnosis and differentiation of CA.
Author Contributions
SK and IW: drafting of manuscript. AB, HC, and FP: revisions of manuscript. GG: supervision. TT: supervision and revisions of manuscript. All authors contributed to the article and approved the submitted version.
Conflict of Interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
References
- 1.Wechalekar AD, Gillmore JD, Hawkins PN. Systemic amyloidosis. Lancet. (2016) 387:2641–54. 10.1016/S0140-6736(15)01274-X [DOI] [PubMed] [Google Scholar]
- 2.Ihse E, Ybo A, Suhr O, Lindqvist P, Backman C, Westermark P. Amyloid fibril composition is related to the phenotype of hereditary transthyretin V30M amyloidosis. J Pathol. (2008) 216:253–61. 10.1002/path.2411 [DOI] [PubMed] [Google Scholar]
- 3.Ruberg FL, Berk JL. Transthyretin (TTR) cardiac amyloidosis. Circulation. (2012) 126:1286–300. 10.1161/CIRCULATIONAHA.111.078915 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Quarta CC, Kruger JL, Falk RH. Cardiac amyloidosis. Circulation. (2012) 126:e178-e182. 10.1161/CIRCULATIONAHA.111.069195 [DOI] [PubMed] [Google Scholar]
- 5.Agha AM, Parwani P, Guha A, Durand JB, Iliescu CA, Hassan S, et al. Role of cardiovascular imaging for the diagnosis and prognosis of cardiac amyloidosis [published correction appears in Open Heart. 2018 Nov 21;5:e000881corr1]. Open Heart. (2018) 5:e000881. 10.1136/openhrt-2018-000881 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Jurcut R, Onciul S, Adam R, Stan C, Coriu D, Rapezzi C, et al. Multimodality imaging in cardiac amyloidosis: a primer for cardiologists. Eur Heart J Cardiovasc Imaging. (2020) 21:833–44. 10.1093/ehjci/jeaa063 [DOI] [PubMed] [Google Scholar]
- 7.Salman K, Cain PA, Fitzgerald BT, Sundqvist MG, Ugander M. Cardiac amyloidosis shows decreased diastolic function as assessed by echocardiographic parameterized diastolic filling. Ultrasound Med Biol. (2017) 43:1331–8. 10.1016/j.ultrasmedbio.2017.02.014 [DOI] [PubMed] [Google Scholar]
- 8.Boldrini M, Salinaro F, Musca F, Mussinelli R, Raimondi A, Cappelli F, et al. An ECG/ECHO comparison between AL and ATTR cardiac amyloidosis at diagnosis. Eur Heart J. (2013) 34:2991 10.1093/eurheartj/eht309.P2991 [DOI] [Google Scholar]
- 9.Pagourelias ED, Mirea O, Duchenne J, Van Cleemput J, Delforge M, Bogaert J, et al. Echo parameters for differential diagnosis in cardiac amyloidosis: a head-to-head comparison of deformation and nondeformation parameters. Circ Cardiovasc Imaging. (2017) 10:e005588. 10.1161/CIRCIMAGING.116.005588 [DOI] [PubMed] [Google Scholar]
- 10.Barros-Gomes S, Williams B, Nhola LF, Grogan M, Maalouf JF, Dispenzieri A, et al. Prognosis of light chain amyloidosis with preserved LVEF: added value of 2D speckle-tracking echocardiography to the current prognostic staging system. JACC Cardiovasc Imaging. (2017) 10:398–407. 10.1016/j.jcmg.2016.04.008 [DOI] [PubMed] [Google Scholar]
- 11.Pun SC, Landau HJ, Riedel ER, Jordan J, Yu AF, Hassoun H, et al. Prognostic and added value of two-dimensional global longitudinal strain for prediction of survival in patients with light chain amyloidosis undergoing autologous hematopoietic cell transplantation. J Am Soc Echocardiogr. (2018) 31:64–70. 10.1016/j.echo.2017.08.017 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Senapati A, Sperry BW, Grodin JL, Kusunose K, Thavendiranathan P, Jaber W, et al. Prognostic implication of relative regional strain ratio in cardiac amyloidosis [published correction appears in Heart. 2016 Sep 1;102:1419]. Heart. (2016) 102:748–54. 10.1136/heartjnl-2015-308657 [DOI] [PubMed] [Google Scholar]
- 13.Clemmensen TS, Eiskjær H, Mikkelsen F, Granstam SO, Flachskampf FA, Sørensen J, et al. Left ventricular pressure-strain-derived myocardial work at rest and during exercise in patients with cardiac amyloidosis. J Am Soc Echocardiogr. (2020) 33:573–82. 10.1016/j.echo.2019.11.018 [DOI] [PubMed] [Google Scholar]
- 14.Clemmensen TS, Soerensen J, Hansson NH, Tolbod LP, Harms HJ, Eiskjær H, et al. Myocardial oxygen consumption and efficiency in patients with cardiac amyloidosis. J Am Heart Assoc. (2018) 7:e009974. 10.1161/JAHA.118.009974 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Fontana M, Pica S, Reant P, Abdel-Gadir A, Treibel TA, Banypersad SM, et al. Prognostic value of late gadolinium enhancement cardiovascular magnetic resonance in cardiac amyloidosis. Circulation. (2015) 132:1570–9. 10.1161/CIRCULATIONAHA.115.016567 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Dungu JN, Valencia O, Pinney JH, Gibbs SD, Rowczenio D, Gilbertson JA, et al. CMR-based differentiation of AL and ATTR cardiac amyloidosis. JACC Cardiovasc Imaging. (2014) 7:133–42. 10.1016/j.jcmg.2013.08.015 [DOI] [PubMed] [Google Scholar]
- 17.Hosch W, Bock M, Libicher M, Ley S, Hegenbart U, Dengler TJ, et al. MR-relaxometry of myocardial tissue: significant elevation of T1 and T2 relaxation times in cardiac amyloidosis. Invest Radiol. (2007) 42:636–42. 10.1097/RLI.0b013e318059e021 [DOI] [PubMed] [Google Scholar]
- 18.Fontana M, Banypersad SM, Treibel TA, Maestrini V, Sado DM, White SK, et al. Native T1 mapping in transthyretin amyloidosis. JACC: Cardiovas Imaging. (2014) 7:157–65. 10.1016/j.jcmg.2013.10.008 [DOI] [PubMed] [Google Scholar]
- 19.Karamitsos TD, Piechnik SK, Banypersad SM, Fontana M, Ntusi NB, Ferreira VM, et al. Noncontrast T1 mapping for the diagnosis of cardiac amyloidosis. JACC: Cardiovas Imaging. (2013) 6:488–97. 10.1016/j.jcmg.2012.11.013 [DOI] [PubMed] [Google Scholar]
- 20.Ridouani F, Damy T, Tacher V, Derbel H, Legou F, Sifaoui I, et al. Myocardial native T2 measurement to differentiate light-chain and transthyretin cardiac amyloidosis and assess prognosis. J Cardiovasc Magn Reson. (2018) 20:58. 10.1186/s12968-018-0478-3 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Kotecha T, Martinez-Naharro A, Treibel TA, Francis R, Nordin S, Abdel-Gadir A, et al. Myocardial edema and prognosis in amyloidosis. J Am Coll Cardiol. (2018) 71:2919–31. 10.1016/j.jacc.2018.03.536 [DOI] [PubMed] [Google Scholar]
- 22.Barison A, Aquaro GD, Pugliese NR, Cappelli F, Chiappino S, Vergaro G, et al. Measurement of myocardial amyloid deposition in systemic amyloidosis: insights from cardiovascular magnetic resonance imaging. J Intern Med. (2015) 277:605–14. 10.1111/joim.12324 [DOI] [PubMed] [Google Scholar]
- 23.Banypersad SM, Sado DM, Flett AS, Gibbs SD, Pinney JH, Maestrini V, et al. Quantification of myocardial extracellular volume fraction in systemic al amyloidosis. Circ Cardiovasc. Imaging. (2013) 6:34–9. 10.1161/CIRCIMAGING.112.978627 [DOI] [PubMed] [Google Scholar]
- 24.Banypersad SM, Fontana M, Maestrini V, Sado DM, Captur G, Petrie A, et al. T1 mapping and survival in systemic light-chain amyloidosis. Eur Heart J. (2015) 36:244–51. 10.1093/eurheartj/ehu444 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Williams LK, Forero JF, Popovic ZB, Phelan D, Delgado D, Rakowski H, et al. Patterns of CMR measured longitudinal strain and its association with late gadolinium enhancement in patients with cardiac amyloidosis and its mimics. J Cardiovasc Magn Reson. (2017) 19:61. 10.1186/s12968-017-0376-0 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Tavoosi A, Yu B, Aghel N, Karur GR, Pakkal M, Wald R, et al. Diagnostic performance of abnormal nulling on cardiac magnetic resonance imaging look locker inversion time sequence in differentiating cardiac amyloidosis types [published online ahead of print, 2020 Mar 17]. J Thorac Imaging. (2020) 35:334–9. 10.1097/RTI.0000000000000493 [DOI] [PubMed] [Google Scholar]
- 27.Perugini E, Guidalotti PL, Salvi F, Cooke RM, Pettinato C, Riva L, et al. Noninvasive etiologic diagnosis of cardiac amyloidosis using 99m Tc-3,3-diphosphono-1,2-propanodicarboxylic acid scintigraphy. J Am Coll Cardiol. (2005) 46:1076–84. 10.1016/j.jacc.2005.05.073 [DOI] [PubMed] [Google Scholar]
- 28.Bokhari S, Castaño A, Pozniakoff T, Deslisle S, Latif F, Maurer MS. 99m Tc-pyrophosphate scintigraphy for differentiating light-chain cardiac amyloidosis from the transthyretin-related familial and senile cardiac amyloidoses. Circ Cardiovasc Imaging. (2013) 6:195–201. 10.1161/circimaging.112.000132 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Castano A, Haq M, Narotsky DL, Goldsmith J, Weinberg RL, Morgenstern R, et al. Multicenter study of planar technetium 99m pyrophosphate cardiac imaging: predicting survival for patients with ATTR cardiac amyloidosis. JAMA Cardiol. (2016) 1:880–9. 10.1001/jamacardio.2016.2839 [DOI] [PubMed] [Google Scholar]
- 30.Gillmore JD, Maurer MS, Falk RH, Merlini G, Damy T, Dispenzieri A, et al. Nonbiopsy diagnosis of cardiac transthyretin amyloidosis. Circulation. (2016) 133:2404–12. 10.1161/CIRCULATIONAHA.116.021612 [DOI] [PubMed] [Google Scholar]
- 31.Scully PR, Morris E, Patel KP, Treibel TA, Burniston M, Klotz E, et al. DPD quantification in cardiac amyloidosis. JACC Cardiovasc Imaging. (2020) 13:1353–63. 10.1016/j.jcmg.2020.03.020 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Musumeci MB, Cappelli F, Russo D, Tini G, Canepa M, Milandri A, et al. Low sensitivity of bone scintigraphy in detecting Phe64Leu mutation-related transthyretin cardiac amyloidosis. JACC Cardiovasc Imaging. (2020) 13:1314–21. 10.1016/j.jcmg.2019.10.015 [DOI] [PubMed] [Google Scholar]
- 33.Takasone K, Katoh N, Takahashi Y, Abe R, Ezawa N, Yoshinaga T, et al. Non-invasive detection and differentiation of cardiac amyloidosis using 99mTc-pyrophosphate scintigraphy and 11C-Pittsburgh compound B PET imaging [published online ahead of print, 2020 Jul 28]. Amyloid. (2020) 1–9. 10.1080/13506129.2020.1798223 [DOI] [PubMed] [Google Scholar]
- 34.Antoni G, Lubberink M, Estrada S, Axelsson J, Carlson K, Lindsj L, et al. In vivo visualization of amyloid deposits in the heart with 11C-PIB and PET. J Nucl Med. (2013) 54:213–20. 10.2967/jnumed.111.102053 [DOI] [PubMed] [Google Scholar]
- 35.Dorbala S, Vangala D, Semer J, Strader C, Bruyere JR, Di Carli MF, et al. Imaging cardiac amyloidosis: a pilot study using 18F-florbetapir positron emission tomography. Eur J Nucl Med Mol Imaging. (2014) 41:1652–62. 10.1007/s00259-014-2787-6 [DOI] [PubMed] [Google Scholar]
- 36.Dietemann S, Nkoulou R. Amyloid PET imaging in cardiac amyloidosis: a pilot study using 18F-flutemetamol positron emission tomography. Ann Nucl Med. (2019) 33:624–8. 10.1007/s12149-019-01372-7 [DOI] [PubMed] [Google Scholar]
- 37.Rosengren S, Skibsted Clemmensen T, Tolbod L, Granstam SO, Eiskjær H, Wikström G, et al. Diagnostic accuracy of [11C]PIB positron emission tomography for detection of cardiac amyloidosis. JACC Cardiovasc Imaging. (2020) 13:1337–47. 10.1016/j.jcmg.2020.02.023 [DOI] [PubMed] [Google Scholar]
- 38.Lee SP, Suh HY, Park S, Oh S, Kwak SG, Kim HM, et al. Pittsburgh B compound positron emission tomography in patients with AL cardiac amyloidosis. J Am Coll Cardiol. (2020) 75:380–90. 10.1016/j.jacc.2019.11.037 [DOI] [PubMed] [Google Scholar]
- 39.Chevance V, Damy T, Tacher V, Legou F, Ridouani F, Luciani A, et al. Myocardial iodine concentration measurement using dual-energy computed tomography for the diagnosis of cardiac amyloidosis: a pilot study. Eur Radiol. (2018) 28:816–23. 10.1007/s00330-017-4984-8 [DOI] [PubMed] [Google Scholar]
- 40.Treibel TA, Bandula S, Fontana M, White SK, Gilbertson JA, Herrey AS, et al. Extracellular volume quantification by dynamic equilibrium cardiac computed tomography in cardiac amyloidosis. J Cardiovasc Comput Tomogr. (2015) 9:585–92. 10.1016/j.jcct.2015.07.001 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41.Picano E, Pinamonti B, Ferdeghini EM, Landini L, Slavich G, Orlandini A, et al. Two-dimensional echocardiography in myocardial amyloidosis. Echocardiography. (1991) 8:253–59. 10.1111/j.1540-8175.1991.tb01395.x [DOI] [PubMed] [Google Scholar]
- 42.Rapezzi C, Fontana M. Relative left ventricular apical sparing of longitudinal strain in cardiac amyloidosis: is it just amyloid infiltration? JACC Cardiovasc Imaging. (2019) 12:1174–6. 10.1016/j.jcmg.2018.07.007 [DOI] [PubMed] [Google Scholar]
- 43.Guan J, Mishra S, Falk RH, Liao R. Current perspectives on cardiac amyloidosis. Am J Physiol Heart Circ Physiol. (2012) 302:H544–52. 10.1152/ajpheart.00815.2011 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44.Shah KB, Inoue Y, Mehra MR. Amyloidosis and the heart: a comprehensive review. Arch Intern Med. (2006) 166:1805–13. 10.1001/archinte.166.17.1805 [DOI] [PubMed] [Google Scholar]
- 45.Yazaki M, Tokuda T, Nakamura A, Higashikata T, Koyama J, Higuchi K, et al. Cardiac amyloid in patients with familial amyloid polyneuropathy consists of wild-type transthyretin. Biochem Biophys Res Commun. (2000) 11:702–6. 10.1006/bbrc.2000.3203 [DOI] [PubMed] [Google Scholar]
- 46.Pilebro B, Suhr OB, Näslund U, Westermark P, Lindqvist P, Sundström T. (99m)Tc-DPD uptake reflects amyloid fibril composition in hereditary transthyretin amyloidosis. Ups J Med Sci. (2016) 121:17–24. 10.3109/03009734.2015.1122687 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47.Bokhari S, Cerqueira MD. Tc-99m-PYP imaging for cardiac amyloidosis: defining the best protocol before the flood gates burst. J Nucl Cardiol. (2020) 21:175–84. 10.1007/s12350-020-02273-3 [DOI] [PubMed] [Google Scholar]
- 48.Malik SB, Chen N, Parker RA III, Hsu JY. Transthoracic echocardiography: pitfalls and limitations as delineated at cardiac CT and MR Imaging [published correction appears in Radiographics. 2017 May-Jun;37:1004]. Radiographics. (2017) 37:383–406. 10.1148/rg.2017160105 [DOI] [PubMed] [Google Scholar]
- 49.Mohty D, Damy T, Cosnay P, Echahidi N, Casset-Senon D, Virot P, et al. Cardiac amyloidosis: updates in diagnosis and management. Arch Cardiovasc Dis. (2013) 106:528–40. 10.1016/j.acvd.2013.06.051 [DOI] [PubMed] [Google Scholar]
- 50.Knight DS, Zumbo G, Barcella W, Steeden JA, Muthurangu V, Martinez-Naharro A, et al. Cardiac structural and functional consequences of amyloid deposition by cardiac magnetic resonance and echocardiography and their prognostic roles. JACC Cardiovasc Imaging. (2019) 12:823–33. 10.1016/j.jcmg.2018.02.016 [DOI] [PubMed] [Google Scholar]
- 51.Sakamoto M, Funada A, Amaki M, Ohara T, Hasegawa T, Sugano Y, et al. More impaired diastolic function of light chain amyloidosis contribute to poor prognosis compared with transthyretin amyloidosis: result from longitudinal study of biopsy-proven cardiac amyloidosis. J Am Coll Cardiol. (2015) 65:A935 10.1016/s0735-1097(15)60935-4 [DOI] [Google Scholar]
- 52.Stricagnoli M, Cameli M, Incampo E, Lunghetti S, Mondillo S. Speckle tracking echocardiography in cardiac amyloidosis. Heart Fail Rev. (2019) 24:701–7. 10.1007/s10741-019-09796-z [DOI] [PubMed] [Google Scholar]
- 53.Maceira AM, Joshi J, Prasad SK, Moon JC, Perugini E, Harding I, et al. Cardiovascular magnetic resonance in cardiac amyloidosis. Circulation. (2005) 111:186–93. 10.1161/01.CIR.0000152819.97857.9D [DOI] [PubMed] [Google Scholar]
- 54.Syed IS, Glockner JF, Feng D, Araoz PA, Martinez MW, Edwards WD, et al. Role of cardiac magnetic resonance imaging in the detection of cardiac amyloidosis. JACC Cardiovasc Imaging. (2010) 3:155–64. 10.1016/j.jcmg.2009.09.023 [DOI] [PubMed] [Google Scholar]
- 55.Brownrigg J, Lorenzini M, Lumley M, Elliott P. Diagnostic performance of imaging investigations in detecting and differentiating cardiac amyloidosis: a systematic review and meta-analysis. ESC Heart Fail. (2019) 6:1041–51. 10.1002/ehf2.12511 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 56.Wan K, Sun J, Han Y, Liu H, Yang D, Li W, et al. Increased prognostic value of query amyloid late enhancement score in light-chain cardiac amyloidosis. Circ J. (2018) 82:739–46. 10.1253/circj.CJ-17-0464 [DOI] [PubMed] [Google Scholar]
- 57.Kis E, Ablonczy L, Reusz GS. Cardiac magnetic resonance imaging of the myocardium in chronic kidney disease. Kidney Blood Press Res. (2018) 43:134–42. 10.1159/000487367 [DOI] [PubMed] [Google Scholar]
- 58.Sado DM, White SK, Piechnik SK, Banypersad SM, Treibel T, Captur G, et al. Identification and assessment of Anderson-Fabry disease by cardiovascular magnetic resonance noncontrast myocardial T1 mapping. Circ Cardiovasc Imaging. (2013) 6:392–8. 10.1161/CIRCIMAGING.112.000070 [DOI] [PubMed] [Google Scholar]
- 59.Vo HQ, Marwick TH, Negishi K. Pooled summary of native T1 value and extracellular volume with MOLLI variant sequences in normal subjects and patients with cardiovascular disease. Int J Cardiovasc Imaging. (2020) 36:325–36. 10.1007/s10554-019-01717-3 [DOI] [PubMed] [Google Scholar]
- 60.Messroghli DR, Moon JC, Ferreira VM, Grosse-Wortmann L, He T, Kellman P, et al. Clinical recommendations for cardiovascular magnetic resonance mapping of T1, T2, T2* and extracellular volume: a consensus statement by the Society for Cardiovascular Magnetic Resonance (SCMR) endorsed by the European Association for Cardiovascular Imaging (EACVI). J Cardiovasc Magn Reson. (2017). 19, 75. 10.1186/s12968-017-0389-8 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 61.Scully PR, Bastarrika G, Moon JC, Treibel TA. Myocardial extracellular volume quantification by cardiovascular magnetic resonance and computed tomography. Curr Cardiol Rep. (2018) 20:15. 10.1007/s11886-018-0961-3 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 62.Banypersad SM. The evolving role of cardiovascular magnetic resonance imaging in the evaluation of systemic amyloidosis. Magn Reson Insights. (2019). 10.1177/1178623X19843519 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 63.Pan JA, Kerwin MJ, Salerno M. Native T1 mapping, extracellular volume mapping, and late gadolinium enhancement in cardiac amyloidosis. JACC Cardiovasc Imaging. (2020) 13:1299–310. 10.1016/j.jcmg.2020.03.010 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 64.Oda S, Utsunomiya D, Nakaura T, Yuki H, Kidoh M, Morita K, et al. Identification and assessment of cardiac amyloidosis by myocardial strain analysis of cardiac magnetic resonance imaging. Circ J. (2017) 81:1014–21. 10.1253/circj.CJ-16-1259 [DOI] [PubMed] [Google Scholar]
- 65.Pandey T, Alapati S, Wadhwa V, Edupuganti MM, Gurram P, Lensing S, et al. Evaluation of myocardial strain in patients with amyloidosis using cardiac magnetic resonance feature tracking. Curr Probl Diagn Radiol. (2017) 46:288–94. 10.1067/j.cpradiol.2016.11.008 [DOI] [PubMed] [Google Scholar]
- 66.Hutt DF, Quigley AM, Page J, Hall ML, Burniston M, Gopaul D, et al. Utility and limitations of 3,3-diphosphono-1,2-propanodicarboxylic acid scintigraphy in systemic amyloidosis. Eur Heart J Cardiovasc Imaging. (2014) 15:1289–98. 10.1093/ehjci/jeu107 [DOI] [PubMed] [Google Scholar]
- 67.Papantoniou V, Valsamaki P, Kastritis S, Tsiouris S, Delichas Z, Papantoniou Y, et al. Imaging of cardiac amyloidosis by (99m)Tc-PYP scintigraphy. Hell J Nucl Med. (2015) 18(Suppl. 1):42–50. [PubMed] [Google Scholar]
- 68.Van Der Gucht A, Cottereau AS, Abulizi M, Guellich A, Blanc-Durand P, Israel JM, et al. Apical sparing pattern of left ventricular myocardial 99mTc-HMDP uptake in patients with transthyretin cardiac amyloidosis. J Nuc Cardiol. (2017) 25:2072–9. 10.1007/s12350-017-0894-z [DOI] [PubMed] [Google Scholar]
- 69.Sperry BW, Vranian MN, Tower-Rader A, Hachamovitch R, Hanna M, Brunken R, et al. Regional variation in technetium pyrophosphate uptake in transthyretin cardiac amyloidosis and impact on mortality. JACC Cardiovasc Imaging. (2018) 11:234–42. 10.1016/j.jcmg.2017.06.020 [DOI] [PubMed] [Google Scholar]
- 70.Lee JH, Lee GY, Kim SJ, Kim KH, Jeon ES, Lee KH, et al. Imaging findings and literature review of (18)F-FDG PET/CT in primary systemic AL amyloidosis. Nucl Med Mol Imaging. (2015) 49:182–90. 10.1007/s13139-015-0338-0 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 71.Law WP, Wang WY, Moore PT, Mollee PN, Ng AC. Cardiac amyloid imaging with 18F-florbetaben PET: a pilot study. J Nucl Med. (2016) 57:1733–9. 10.2967/jnumed.115.169870 [DOI] [PubMed] [Google Scholar]
- 72.Kim YJ, Ha S, Kim YI. Cardiac amyloidosis imaging with amyloid positron emission tomography: a systematic review and meta-analysis. J Nucl Cardiol. (2020) 27:123–32. 10.1007/s12350-018-1365-x [DOI] [PubMed] [Google Scholar]
- 73.Deux J-F, Mihalache C-I, Legou F, Damy T, Mayer J, Rappeneau S, et al. Noninvasive detection of cardiac amyloidosis using delayed enhanced MDCT: a pilot study. Eur Radiol. (2015) 25:2291–7. 10.1007/s00330-015-3642-2 [DOI] [PubMed] [Google Scholar]
- 74.Ricci F, Ceriello L, Khanji MY, Dangas G, Bucciarelli-Ducci C, Di Mauro M, et al. Prognostic significance of cardiac amyloidosis in patients with aortic stenosis. JACC Cardiovasc Imaging. (2020). 10.1016/j.jcmg.2020.07.011 [DOI] [PubMed] [Google Scholar]
- 75.Chacko L, Martone R, Bandera F, Lane T, Martinez-Naharro A, Boldrini M, et al. Echocardiographic phenotype and prognosis in transthyretin cardiac amyloidosis. Eur Heart J. (2020) 41:1439–47. 10.1093/eurheartj/ehz905 [DOI] [PubMed] [Google Scholar]
- 76.Cavalcante JL, Rijal S, Abdelkarim I, Althouse AD, Sharbaugh MS, Fridman Y, et al. Cardiac amyloidosis is prevalent in older patients with aortic stenosis and carries worse prognosis. J Cardiovasc Magn Reson. (2017) 19:98. 10.1186/s12968-017-0415-x [DOI] [PMC free article] [PubMed] [Google Scholar]
- 77.Nitsche C, Aschauer S, Kammerlander AA, Schneider M, Poschner T, Duca F, et al. Light-chain and transthyretin cardiac amyloidosis in severe aortic stenosis: prevalence, screening possibilities, and outcome [published online ahead of print, 2020 Feb 20]. Eur J Heart Fail. (2020). 10.1002/ejhf.1756 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 78.Scully PR, Treibel TA, Fontana M, Lloyd G, Mullen M, Pugliese F, et al. Prevalence of cardiac amyloidosis in patients referred for transcatheter aortic valve replacement. J Am Coll Cardiol. (2018) 71:463–64. 10.1016/j.jacc.2017.11.037 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 79.Treibel TA, Fontana M, Gilbertson JA, Castelletti S, White SK, Scully PR, et al. Occult transthyretin cardiac amyloid in severe calcific aortic stenosis: prevalence and prognosis in patients undergoing surgical aortic valve replacement. Circ Cardiovasc Imaging. (2016) 9:e005066. 10.1161/CIRCIMAGING.116.005066 [DOI] [PubMed] [Google Scholar]