Abstract
At present, MRI is the primary choice of examination for the diagnosis of thoracic extramedullary hemopoiesis. When thoracic extramedullary hemopoiesis presents as posterior mediastinum masses in specific clinical contexts, the diagnosis is not challenging. Other radiological presentations may be more difficult for diagnosis and require biopsy. Needle biopsy is typically preferred for the diagnosis of extramedullary hemopoiesis however, the high vascularization of tissues is one of the complications of this method thus, it is avoided. The aim of the present study was to compare the diagnostic parameters of CT with MRI for the diagnosis of thoracic extramedullary hemopoiesis in patients with leukemia, with an open lung biopsy as a reference standard. Chest CT, chest MRI and open lung biopsy data from a total of 912 patients with leukemia with a sign(s) and symptoms of suspected paravertebral and/or pulmonary extramedullary hemopoiesis were reviewed. In the present study, thoracic extramedullary hemopoiesis was defined as diffusivity of both lung fields being increased compared with the blood pool and no other abnormal focal of lungs being increased compared with the blood pool. The beneficial score was calculated for CT and MRI and plotted for the decision making of irradiation. With respect to open lung biopsy, MRI had a higher sensitivity compared with CT (0.865 vs. 0.809; P<0.0001; q=1691) however, CT had a higher accuracy compared with MRI (0.833 vs. 0.733; P<0.0001; q=3020). The low rate of overdiagnosis was observed for both methods for the detection of thoracic extramedullary hemopoiesis however, the working area for detecting thoracic extramedullary hemopoiesis at least once in images was higher for MRI compared with CT. CT and MRI both have diagnostic importance in the detection of thoracic extramedullary hemopoiesis in patients with leukemia however, chest MRI misdiagnoses the condition while CT can confirm it (level of evidence, 3).
Keywords: computed tomography, diffusion restriction, leukemia, magnetic resonance imaging, open lung biopsy, thoracic extramedullary hemopoiesis
Introduction
In extramedullary hemopoiesis, normal blood cells are formed outside of the bone marrow when the bone marrow is functioning normally (1). Extramedullary hemopoiesis is associated with congenital hemoglobinopathies, such as spherocytosis, sickle cell anemia and thalassemia or with bone marrow replacement conditions, such as myelofibrosis, lymphoma, leukemia and myelodysplasia (2). Extramedullary hemopoiesis is primarily observed in the spleen and liver, but is less common in the thoracic region and it is important to diagnose, as it can lead to pulmonary hemorrhage (3,4). In radiography, extramedullary hemopoiesis is identified as a bilateral lobulated fatty dense mass (5). The spleen and liver are the most common sites for involvement of extramedullary hemopoiesis; however, the whole body is affected, whereby ~5% of all cases are reported as thoracic extramedullary hemopoiesis (3). Cytopathological diagnosis lacks efficiency (6), thus novel strategies for accurate diagnosis are required for effective treatment.
Thoracic extramedullary hemopoiesis is located in the pulmonary parenchyma, pleural spaces, pulmonary arteries and the lower paravertebral area (7). It is diagnosed using chest X-ray, CT and MRI (8). Currently, MRI is the gold standard used to diagnosis patients with thoracic extramedullary hemopoiesis (9). When thoracic extramedullary hemopoiesis presents as posterior mediastinum masses in specific clinical contexts, it is easy to diagnose by MRI (10). The other radiological presentations, such as those observed in intrathoracic mass, may be more difficult to diagnose by MRI and CT as they are not associated with adjacent bone destruction and require biopsy (11). Needle biopsy is typically preferred as a reference standard for the diagnosis of extramedullary hemopoiesis however, high vascularization of tissues is one of the complications of this method thus, it is avoided and in addition improved imaging techniques are required for effective diagnosis (2). Antitumor therapy is essential for the survival of patients with leukemia (12) and in the management of extramedullary hemopoiesis; of which, irradiation is the primary treatment of choice (13). The diffuse pattern, such as infiltration and fleeting in densities of thoracic extramedullary hemopoiesis is uncommon for X-ray, MRI and CT images (4) compared with biopsy.
The objective of the present study was to compare the diagnostic parameters of chest CT with MRI for the diagnosis of thoracic extramedullary hemopoiesis in patients with leukemia, with an open lung biopsy as a reference standard. Open lung biopsy has high diagnostic yields and an acceptable level of safety for respiratory distress disease (14).
Materials and methods
Subjects
A total of 987 patients with leukemia with the sign(s) and symptoms of suspected paravertebral and/or pulmonary extramedullary hemopoiesis at the First People's Hospital of Yongkang (Yongkang, Zhejiang, China) and Tongji Medical College Huazhong University of Science and Technology (Wuhan, Hubei, China) were recruited between 3rd January 2015 and 1st March 2019. Among them, 75 patients were excluded from the analysis, as their data in their respective medical records was incomplete. Thus, chest CT, MRI and open lung biopsy data of a total of 912 patients with leukemia were included in the analysis of the present study. The present study was approved by the review board of the First People's Hospital of Yongkang (Yongkang, Zhejiang, China) and written informed consent was provided from all the patients. Details of patient recruitment and workflow are demonstrated in Fig. 1.
Figure 1.
Workflow of the study detailing the number of patients that were enrolled, excluded and divided into the different imaging groups.
Inclusion criteria
Patients with leukemia aged ≥18 years old with epistaxis, hemoptysis, pulmonary hypertension, severe tricuspid regurgitation, complaints of chest pain, enlargement of the chest, abdominal bloating, shortness of breath and/or the other sign(s) and symptoms of suspected paravertebral and/or pulmonary extramedullary hemopoiesis (suspected of having extramedullary hemopoiesis) who required diagnosis at admission were included in the study.
Chest CT
Static anterior and posterior CT images of the chest were obtained by shielding the liver and spleen (as per protocol) using the Light speed VCT CT 96 (GE Healthcare) at 120 kVp and 240 mA/sec (radiation exposure factors). The images were obtained from the apices to the lung bases under a deep inspiration (2) by three radiologists (minimum 3 years of experience) at The First People's Hospital of Yongkang and The Tongji Medical College Huazhong University of Science and Technology. The reconstructed image thickness was 1.5-mm.
Chest MRI
Chest MRIs were performed using a 1.5-T SIGNA™ Artist (GE Healthcare) by three radiologists with full parallel imaging capabilities and a minimum of 3-years of experience. The breath-hold imaging protocol was utilized. MRI workstation SIGNA™ Artist (GE Healthcare) was used as the imaging platform. Coronal and axial T2 and T1-weighted images with a 2-mm slice thickness, 192×256 matrix size and 44 cm field of view were evaluated for image analysis (8). Apparent transverse relaxation time was 2 msec.
Open lung biopsy
The open lung biopsies (not video-assisted thoracoscopic biopsy) were performed when the patients were arranged in the supine position by three physicians (minimum 3 years of experience). The samples were collected and sent to the laboratory for examination purposes. All laboratory analyses were performed as previously described (15) by pathologists (minimum 3 years of experience) at The First People's Hospital of Yongkang and The Tongji Medical College Huazhong University of Science and Technology. Atypical cellular infiltration and presence of megakaryocyte was considered as thoracic extramedullary hemopoiesis.
Image analysis
All the images were analyzed by a total of 5 radiologists (minimum 5-years of experience in cancer imaging analysis) of the aforementioned hospitals. The differences of opinion in diagnosis were solved by consensus of all radiologists. Thoracic extramedullary hemopoiesis was defined as diffusivity of both lung fields being increased compared with the blood pool and no other abnormal focal being increased compared with the blood pool (5). If the microscopic septa were below the resolution of images, then it was considered as normal (16). Image analysis was included in the evaluation of the distribution, location and density of masses (the adipose tissue; Table I) (8).
Table I.
Image analysis of thoracic extramedullary hemopoiesis.
| Observations | ||
|---|---|---|
| Chest CT | Chest MRI | Prediction |
| Hypodense tissue | T1 weighted images: homogeneous/heterogeneous hypointense signals | Suspicious for thoracic extramedullary hemopoiesis |
| Dense soft parts | T2 weighted images: homogeneous/heterogeneous hyperintense signals, hyperintense foci | |
| Septal thickening | ||
| Ground-glass opacities | ||
| aAlveolar/ground-glass consolidation | – | – |
Partial collapse of lung. CT, computed tomography; MRI, magnetic resonance imaging.
Decision making of irradiation
The beneficial score was calculated for CT and MRI scans, for each patient, as per the equation below (1) and plotted for decision making of irradiation.
Statistical analysis
InStat v.Window 3.0.1 (GraphPad Software, Inc.) was used for statistical analysis. Categorial parameters are presented as the frequency (%) and continuous parameters are presented as the mean ± standard deviation. Categorial parameters were analyzed using χ2 independence test and continuous parameters (accuracy and sensitivity) were analyzed using the Wilcoxon sum rank test following Tukey-Kramer multiple comparisons tests (considering critical value q>3.14 as significant) for sensitivity and accuracy. Multivariate regression analyses were performed for predictive features of thoracic extramedullary hemopoiesis. Sensitivity was determined as the ratio of numbers of true thoracic extramedullary hemopoiesis detected by imaging modality to those detected by the open lung biopsy. Accuracy was determined as the ratio of numbers of true thoracic extramedullary hemopoiesis absent detected by imaging modality to those detected by the open lung biopsy. P<0.05 and a 95% confidence interval were considered to indicate a statistically significant difference.
Results
Demographic and clinical characteristics in patients with leukemia
The demographic and clinical characteristics of patients, at the time of admission are presented in Table II. Chest pain was the most frequently recorded sign/symptom of suspected paravertebral and/or pulmonary extramedullary hemopoiesis in the hospitalized patients. The patient cohort consisted of more male patients compared with female patients (77 vs. 23%) and the majority of the patients had a 4–6-year history of leukemia (78%). All of the patients were treated with hydroxyurea to control splenomegaly and a raised total white cell count.
Table II.
Demographic and clinical characteristics of the patients with leukemia at the time of admission.
| Characteristic | Number |
|---|---|
| Patients with leukemia included | 912 |
| in study, n | |
| Age, years | |
| Minimum | 18 |
| Maximum | 65 |
| Mean ± SD | 48.5400±11.1300 |
| Sex, n (%) | |
| Male | 699 (77) |
| Female | 213 (23) |
| Ethnicity | |
| Han Chinese | 837 (92) |
| Mongolian | 65 (7) |
| Tibetan | 10 (1) |
| History of leukemia, n (%) | |
| ≤3 years | 102 (11) |
| 4–6 years | 712 (78) |
| >6 years | 98 (11) |
| Mean hemoglobin content ± SD, mg/dl | 10.1200±2.1500 |
| Epistaxis, n (%) | 312 (34) |
| Chest pain, n (%) | 445 (49) |
| Enlargement of chest, n (%) | 245 (27) |
| Mean cardiac output ± SD, l/min | 4.5100±1.2100 |
| Mean pulmonary vascular resistance ± SD, WU | 3.6100±0.5200 |
| Mean pulmonary arterial pressure ± SD, mmHg | 76.1200±8.8900 |
| Mean tricuspid regurgitation ± SD, cm | 2.7200±0.2100 |
| Mean white cell count, cell/litre | 40.09×109±1.12×109 |
| Mean platelet count, cell/litre | 369.76±x109±1.01×109 |
| Diabetes mellitus, n (%) | 255 (28) |
| Chronic renal failure, n (%) | 45 (5) |
| Mechanically ventilated, n (%) | 2 (0.2) |
| Mean airway pressure ± SD, cm H2O | 16.8900±2.8100 |
WU, Wood units.
Characteristics of the masses observed using chest CT
A total of 568 patients had lower paravertebral masses, 68 patients had septal thickening and 276 patients had decreased diffusivity of both lung fields compared with the blood pool. An example of a lower paravertebral mass is presented in Fig. 2, which had the bilateral masses (adipose tissue) in the paravertebral regions. In 455 patients, the masses were relatively symmetrical and bilateral. In 62 patients, the mass was unilateral on the right side and in 51 patients the mass was unilateral on the left side. A representative image of a unilateral homogeneous mass in the left side is presented in Fig. 3. Of the 568 patients with detected masses; the presence of adipose tissue was confirmed in 445 patients, significant masses were found in 71 patients and homogeneous masses, with iso dense/iso attenuating soft parts were found in 52 patients (Fig. 4).
Figure 2.
A scan of a 49-year-old female patient with leukemia presenting with lower paravertebral masses using chest computed tomography (mediastinal window; an axial view of the chest with emphasis on the mediastinum). The arrow indicates the aorta. The bilateral masses (adipose tissue) present in the paravertebral regions.
Figure 3.
A scan of a 58-year-old male patient with leukemia presenting with a homogeneous mass (arrow) on the left side using chest computed tomography (mediastinal window; an axial view of the chest with emphasis on the mediastinum).
Figure 4.
Representative scan of a 52-year-old male patient with leukemia presenting with paravertebral extramedullary hemopoiesis using chest CT (mediastinal window; an axial view of the chest with emphasis on the mediastinum). Homogeneous masses, with iso dense/iso attenuating soft parts can be observed (blue arrow). CT reveals a small right paravertebral soft tissue mass (yellow arrow). CT, computed tomography.
Characteristics of images in patients with leukemia using MRI
Extramedullary hemopoiesis was observed in 607 of patients with leukemia, while 305 patients exhibited no heterogenous and/or mixed type signals (Table III). Of those, 231 patients had hyperintense foci within the lung lesion, 131 patients had homogeneous hyperintense signals and 245 had heterogeneous hyperintense signals in lung lesions (Fig. 5).
Table III.
Diagnostic parameters of adopted imaging modalities.
| Parameters | Open lung biopsy | Chest CT | Chest MRI | ||
|---|---|---|---|---|---|
| Number of patients with leukemia, n | 912 | 912 | P-valuea | 912 | P-valuea |
| True thoracic extramedullary hemopoiesis detected, n (%) | 702 (77) | 568 (62) | <0.0001 | 607 (67) | <0.0001 |
| True thoracic extramedullary hemopoiesis absent, n (%) | 210 (23) | 175 (19) | 0.051 | 154 (17) | 0.001 |
| False thoracic extramedullary hemopoiesis detected, n (%) | 0 (0) | 68 (7) | <0.0001 | 58 (6) | <0.0001 |
| False thoracic extramedullary hemopoiesis absent, n (%) | 0 (0) | 59 (7) | <0.0001 | 57 (6) | <0.0001 |
| Inconclusive results, n (%) | 0 (0) | 42 (5) | <0.0001 | 36 (4) | <0.0001 |
| Mean sensitivity | 1 | 0.8090 | <0.0001 | 0.8650 | <0.0001 |
| Mean accuracy | 1 | 0.8330 | <0.0001 | 0.7330 | <0.0001 |
Data were analyzed using the χ2 independence test.
With respect to open lung biopsy. CT, computed tomography; MRI, magnetic resonance imaging.
Figure 5.
Representative chest magnetic resonance imaging (axial T1-weighted) scan. A 42-year-old male patient with leukemia presenting with multiple masses. The white arrow indicates the homogeneous hypointense signal to a bright area while the black arrow indicates the heterogeneous hypointense signal in the bronchus.
Thoracic extramedullary hemopoiesis detection in patients with leukemia
Open lung biopsies detected features of thoracic extramedullary hemopoiesis in 702 patients, and absence in 210 patients (Table III; Fig. 6).
Figure 6.
Histopathology result of an open lung biopsy of a 49-year-old male patient with leukemia. Atypical cellular infiltrates showing features of myeloid origin. The yellow circle indicates a megakaryocyte. Histopathology was performed by pathologists (minimum 3 years' experience) of the participating institutes.
MRI has greater sensitivity and CT higher accuracy compared with open lung biopsy
With respect to open lung biopsy, chest MRI had a higher sensitivity compared with that in chest CT (0.865 vs. 0.809; P<0.0001; q=1691; Fig. 7A). However, chest CT had a higher accuracy compared with that in MRI (0.833 vs. 0.733; P<0.0001; q=3020, Fig. 7B). The other diagnostic parameters of imaging modalities are presented in Table III. A total of 68 and 58 scans of false positive thoracic extramedullary hemopoiesis were reported by chest CT and MRI, respectively. Furthermore, 59 and 57 cases of absent false thoracic extramedullary hemopoiesis were reported by chest CT and MRI, respectively.
Figure 7.
Diagnostic parameters (sensitivity and accuracy) of imaging modalities with respect to open lung biopsy. (A) Sensitivity and (B) accuracy for imaging modalities. The Wilcoxon sum rank test, following Tukey-Kramer multiple comparisons tests were performed to determine statistical significance. P<0.05 and q>3.14 were considered significant. MRI, magnetic resonance imaging; CT, computed tomography.
Predictive factors for extramedullary hemopoiesis in patients with leukemia. Univariate regression analysis was performed prior to multivariate to identify independent factors. Age (P=0.041), history of leukemia (P<0.05), hemoglobin content (P=0.038), enlargement of chest (P=0.028), tricuspid regurgitation (P=0.049), white cell count (P=0.048) and platelet count (P=0.047) were associated with thoracic extramedullary hemopoiesis (Table IV).
Table IV.
Multivariate regression analyses for predictive features of thoracic extramedullary hemopoiesis in patients with leukemia (n=702).
| Characteristics | Risk ratio | 95% CI | P-value |
|---|---|---|---|
| Age, years | 1.5000 | 2.2000–3.5000 | 0.0410a |
| Sex (male) | 1.3000 | 1.5100–1.7000 | 0.0520 |
| Ethnicity (Han Chinese) | 0.9000 | 1.3000–1.9000 | 0.1230 |
| History of leukemia | |||
| ≤3 years | 1.1000 | 1.5000–2.1000 | 0.0520 |
| 4–6 years | 1.5000 | 1.3000–2.5000 | 0.0420a |
| >6 years | 1.9000 | 1.2000–4.8000 | 0.0210a |
| Hemoglobin content, mg/dl | 1.5000 | 1.3000–2.3000 | 0.0380a |
| Epistaxis | 1.3000 | 1.4000–2.2000 | 0.0530 |
| Chest pain | 0.8500 | 0.0900–1.0100 | 0.0900 |
| Enlargement of chest | 1.7000 | 1.1000–2.3000 | 0.0280a |
| Cardiac output, l/min | 1.1000 | 1.2000–2.2000 | 0.0520 |
| Pulmonary vascular resistance, WU | 1.2100 | 1.3700–2.2300 | 0.0530 |
| Pulmonary arterial pressure, mmHg | 1.3000 | 1.3800–2.2500 | 0.0590 |
| Tricuspid regurgitation, cm | 1.4000 | 1.1100–2.3300 | 0.0490a |
| White cell count, cell/litre | 1.7000 | 1.1200–2.2400 | 0.0480a |
| The platelet count, cell/litre | 1.6000 | 1.2300–2.5200 | 0.0470a |
| Diabetes mellitus (% HbA1C) | 1.6000 | 1.1000–1.9500 | 0.0850 |
| Chronic renal failure (serum creatinine content) | 1.5000 | 1.2200–1.8200 | 0.0790 |
| Mechanically ventilated (presence of support) | 1.7000 | 1.1300–1.7500 | 0.0560 |
| Mean airway pressure, cm H2O | 1.2000 | 1.2200–1.3500 | 0.1560 |
True thoracic extramedullary hemopoiesis absent was considered as the reference standard (n=210).
A risk ratio >1 and P<0.05 was considered significant. WU, Wood units.
Decision making of irradiation in patients with leukemia
There was a low rate of overdiagnosis using chest CT and MRI for the detection of thoracic extramedullary hemopoiesis in patients with leukemia, compared with open lung biopsy (except for a high rate of overdiagnosis in the lungs). However, the working area that detects thoracic extramedullary hemopoiesis at least once in images was higher for the chest MRI compared with CT (0–0.905 vs. 0.430–0.900; Fig. 8).
Figure 8.
Decision of irradiation making. All images were analyzed by 5 radiologists (minimum 5 years of experience) of the participating institutes. Thoracic extramedullary hemopoiesis was defined as diffusivity of both lung fields being increased compared with the blood pool and no other abnormal focal being increased compared to the blood pool. The working area is defined as the space available to implement the imaging method, in order to identify extramedullary hemopoiesis.
Discussion
In the present study with respect to open lung biopsies, chest MRI had a greater sensitivity compared with CT, which is inconsistent with previous case reports (8,17). The absence of diffusion restriction on MRI favors diagnosis (17). The diagnostic differences are not large between open lung biopsy and chest MRI (T1- or T2-weighted images) or the chest CT, as lesions possess dense soft parts on the CT scans and signal intensities on MRI (2). No definitive imaging pattern is pathognomonic and a biopsy is required for the diagnosis of thoracic extramedullary hemopoiesis (8). Open lung biopsy has the risk of persistent air leakage and hemorrhagic complications due to pulmonary hypertension (2,18,19). The results of the present study demonstrated that the chest MRI or the CT is a non-invasive and reliable method for the diagnosis of thoracic extramedullary hemopoiesis in patients with leukemia.
The results from the present study demonstrated that chest CT had a higher accuracy compared with that in chest MRI, which is inconsistent with previous case reports (8,13,16,20–22). These case reports had inadequate sample sizes, thus introduced statistical errors. The chest CT is the main imaging modality for the diagnosis of thoracic extramedullary hemopoiesis as it provides a specific finding for nodules and masses (16). For scattered foci of internal fat, CT reveals a low-density mass whereas MRI demonstrates variable enhancements (23). MRI is the examination of choice and provides valuable diagnostic information (9) however, it can be variable and influenced by fibrous structure, fatty components and iron deposition on the cellular surface of the hematopoietic tissue (8). MRI signals for thoracic extramedullary hemopoiesis appear with higher signal intensity similar to those of tumors (13,24). Therefore, MRI misdiagnoses thoracic extramedullary hemopoiesis. The results of the present study indicated that unlike the chest MRI, the chest CT can confirm thoracic extramedullary hemopoiesis with/without adipose tissue.
In the present study, there were 68 and 58 scans of false positive thoracic extramedullary hemopoiesis, using chest CT and MRI, respectively. CT detects thoracic extramedullary hemopoiesis by septal thickening and ground-glass opacities, however lung infections and congestive cardiac failure also demonstrate ground-glass opacities under the chest CT (19,21,25). In addition, CT scans detect pleural metastases, which are originally pleural soft tissues (13). Chest MRI detects intense signals due to iron deposition on adipose tissues (1) and patients with leukemia are regularly treated with blood transfusions (26), which leads to higher iron deposition on lung medullary stroma and to false thoracic extramedullary hemopoiesis detection using chest MRI (1).
The present study reported that there were 59 and 57 cases of absent false thoracic extramedullary hemopoiesis using chest CT and MRI, respectively. Low cellular activity or little medullary stroma present in the lungs may not be detected by chest CT (16). In addition, older lesions with iron deposition or fatty infiltration may not be present as a hypointense signal on T1-weighted images or as a hyperintense signal on T2-weighted images (2,8).
There are several limitations to the present study, for example it is a retrospective in design and not a prospective study. Diffusion-weighted imaging has a diagnostic role in the detection of thoracic extramedullary hemopoiesis, as it does not demonstrate diffusion restriction in the images (17). Diffusion-weighted images was not performed in the present study despite previous recommendation to do so over T1- or T2-weighted images of the chest MRI, in order to decrease inconclusive and false positive results. In the present study, follow-up conditions and treatment were not described for the enrolled patients, which may have affected the validity of the results as treatment is affected by the diagnosis accuracy of the respective disease. Sensitivities, accuracies and the decision making of irradiation for paravertebral and pulmonary extramedullary hemopoiesis evaluation were not provided separately.
In conclusion, the present non-inferiority retrospective diagnostic study revealed that chest CT and MRI both have diagnostic importance in the detection of thoracic extramedullary hemopoiesis in patients with leukemia with manageable complications. The chest CT could confirm thoracic extramedullary hemopoiesis with/without fat involvement. The chest MRI had high sensitivity due to the absence of diffusion restriction. MRI misdiagnoses thoracic extramedullary hemopoiesis and CT confirmed thoracic extramedullary hemopoiesis. The chest CT is recommended for the diagnosis of suspected paravertebral and/or pulmonary extramedullary hemopoiesis in patients with leukemia.
Acknowledgements
Not applicable.
Glossary
Abbreviations
- CT
computed tomography
- MRI
magnetic resonance imaging
Funding
No funding was received.
Availability of data and materials
The datasets used and/or analyzed during the current study are available from the corresponding author upon reasonable request.
Authors' contributions
ZL acquired the data, performed the literature review, contributed to methodology, investigation, and drafted, reviewed and edited the initial manuscript for intellectual content. YX contributed to the analysis and validation, performed the literature review and acquired the data. QW contributed to the conceptualization of the present study, performed software analysis, acquired data and performed the literature review. All authors have read and approved the manuscript.
Ethics approval and consent to participate
The original study protocol (YKYY/CL/15/19 dated 30 March 2019) was approved by the First People's Hospital of Yongkang review board (Yongkang, Zhejiang, China). The study reporting adhered to the law of China, the results from the study strengthened the use of observational studies, and the Declaration of Helsinki v.2008. Written informed consent was provided from all participating patients. As this was a retrospective study, registration into the clinical trial registry was waived by the institutional review board.
Patient consent for publication
Informed consent was signed by all participating patients for the publication of the study, including personal data and images in all formats.
Competing interests
The authors declare that they have no competing interests.
References
- 1.Solazzo A, D'Auria V, Moccia LG, Vatrella A, Bocchino M, Rea G. Posterior mediastinal extramedullary hematopoiesis secondary to hypoxia. Transl Med UniSa. 2016;14:1–4. [PMC free article] [PubMed] [Google Scholar]
- 2.Marchiori E, Escuissato DL, Irion KL, Zanetti G, Rodrigues RS, Meirelles GS, Hochhegger B. Extramedullary hematopoiesis: Findings on computed tomography scans of the chest in 6 patients. J Bras Pneumol. 2008;34:812–816. doi: 10.1590/S1806-37132008001000009. [DOI] [PubMed] [Google Scholar]
- 3.Lalueza A, Silva CP, Alcalá-Galiano A, Arrieta E, Cánovas JM, Calero MR, Álvarez C. Presacral and intrathoracic extramedullary hematopoiesis in a patient with β thalassemia minor. Clin Respir J. 2018;12:322–326. doi: 10.1111/crj.12490. [DOI] [PubMed] [Google Scholar]
- 4.Ozbudak IH, Shilo K, Hale S, Aguilera NS, Galvin JR, Franks TJ. Alveolar airspace and pulmonary artery involvement by extramedullary hematopoiesis: A unique manifestation of myelofibrosis. Arch Pathol Lab Med. 2008;132:99–103. doi: 10.5858/2008-132-99-AAAPAI. [DOI] [PubMed] [Google Scholar]
- 5.Yang M, Covington MF, Nguyen BD, Johnson GB, Mesa RA, Roarke MC. 99mTc-Sulfur colloid bone marrow scintigraphy in diagnosis of diffuse pulmonary extramedullary hematopoiesis secondary to myelofibrosis. J Nucl Med Technol. 2018;46:368–732. doi: 10.2967/jnmt.118.210534. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Singhal N, Tahlan A, Bansal C, Handa U, D'Cruz S. Coexistence of leukemic infiltration and extramedullary hematopoeisis in a lymph node: A cytological diagnosis. J Cytol. 2011;28:138–140. doi: 10.4103/0970-9371.83476. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Monga V, Silverman M. Pulmonary extramedullary hematopoiesis involving the pulmonary artery. Hematol Rep. 2015;7:5714. doi: 10.4081/hr.2015.5714. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.La Fianza A, van der Byl G, Maccabelli G, Torretta L, Calliada F. CT and MR findings in extramedullary haematopoiesis with biliary system encasement: A case report. J Radiol Case Rep. 2010;4:1–8. doi: 10.3941/jrcr.v4i11.462. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Mattei TA, Higgins M, Joseph F, Mendel E. Ectopic extramedullary hematopoiesis: Evaluation and treatment of a rare and benign paraspinal/epidural tumor. J Neurosurg Spine. 2013;18:236–242. doi: 10.3171/2012.12.SPINE12720. [DOI] [PubMed] [Google Scholar]
- 10.Occhipinti M, Heidinger BH, Franquet E, Eisenberg RL, Bankier AA. Imaging the posterior mediastinum: A multimodality approach. Diagn Interv Radiol. 2015;21:293–306. doi: 10.5152/dir.2014.14467. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Park JB, Lee SA, Kim YH, Lee WS, Hwang JJ. Extramedullary hematopoiesis mimicking mediastinal tumor in a patient with hereditary spherocytosis: Case report. Int J Surg Case Rep. 2017;41:223–225. doi: 10.1016/j.ijscr.2017.10.043. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Pardanani A, Brown P, Neben-Wittich M, Tobin R, Tefferi A. Effective management of accelerated phase myelofibrosis with low-dose splenic radiotherapy. Am J Hematol. 2010;85:715–716. doi: 10.1002/ajh.21799. [DOI] [PubMed] [Google Scholar]
- 13.Bao Y, Liu Z, Guo M, Li B, Sun X, Wang L. Extramedullary hematopoiesis secondary to malignant solid tumors: A case report and literature review. Cancer Manag Res. 2018;10:1461–1470. doi: 10.2147/CMAR.S161746. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Philipponnet C, Cassagnes L, Pereira B, Kemeny JL, Devouassoux-Shisheboran M, Lautrette A, Guerin C, Souweine B. Diagnostic yield and therapeutic impact of open lung biopsy in the critically ill patient. PLoS One. 2018;13:e0196795. doi: 10.1371/journal.pone.0196795. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Depuydt OE, Daeze C, Benoit D, Praet M, Vermassen E, Decruyenaere M. Diagnostic potential of open lung biopsy in mechanically ventilated patients with diffuse pulmonary infiltrates of unclear aetiology. Anaesth Intensive Care. 2013;41:610–617. doi: 10.1177/0310057X1304100506. [DOI] [PubMed] [Google Scholar]
- 16.Singh I, Mikita G, Green D, Risquez C, Sanders A. Pulmonary extra-medullary hematopoiesis and pulmonary hypertension from underlying polycythemia vera: A case series. Pulm Circ. 2017;7:261–267. doi: 10.1177/2045893217702064. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Panda A, Chandrashekhara SH, Nambirajan A, Mishra P. Idiopathic myelofibrosis with disseminated hepatosplenic, mesenteric, renal and pulmonary extramedullary haematopoeisis, portal hypertension and tuberculosis: Initial presentation and 2 years follow-up. BMJ Case Rep. 2016;2016(pii):bcr2016217854. doi: 10.1136/bcr-2016-217854. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Wong AK, Walkey AJ. Open lung biopsy among critically Ill, mechanically ventilated patients. A metaanalysis. Ann Am Thorac Soc. 2015;12:1226–1230. doi: 10.1513/AnnalsATS.201502-077BC. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Ali SZ, Clarke MJ, Kannivelu A, Chinchure D, Srinivasan S. Extramedullary pulmonary hematopoiesis causing pulmonary hypertension and severe tricuspid regurgitation detected by technetium-99m sulfur colloid bone marrow scan and single-photon emission computed tomography/CT. Korean J Radiol. 2014;15:376–380. doi: 10.3348/kjr.2014.15.3.376. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Qiu D, Hu X, Xu L, Guo X. Extramedullary hematopoiesis on 18F-FDG PET/CT in a patient with thalassemia and nasopharyngeal carcinoma: A case report and literature review. J Cancer Res Ther. 2015;11:1034. doi: 10.4103/0973-1482.150359. [DOI] [PubMed] [Google Scholar]
- 21.Mubarak V, Fanning S, Windsor M, Duhig E, Bowler S. Pulmonary extramedullary haematopoiesis. BMJ Case Rep. 2011;2011(pii):bcr0620114392. doi: 10.1136/bcr.06.2011.4392. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Bajwa AA, Usman F, Wolfson D, Laos LF, Cury JD. A 62-year-old woman with dyspnea, leukocytosis, and diffuse ground-glass opacities. Chest. 2010;137:1470–1473. doi: 10.1378/chest.09-2602. [DOI] [PubMed] [Google Scholar]
- 23.Ho AK, Girgis S, Low G. Uncommon liver lesions with multimodality imaging and pathology correlation. Clin Radiol. 2018;7:191–204. doi: 10.1016/j.crad.2017.07.016. [DOI] [PubMed] [Google Scholar]
- 24.Zhou PP, Clark E, Kapadia MR. A systematic review of presacral extramedullary haematopoiesis: A diagnosis to be considered for presacral masses. Colorectal Dis. 2016;18:1033–1040. doi: 10.1111/codi.13427. [DOI] [PubMed] [Google Scholar]
- 25.Trow TK, Argento AC, Rubinowitz AN, Decker R. A 71-year-old woman with myelofibrosis, hypoxemia, and pulmonary hypertension. Chest. 2010;138:1506–1510. doi: 10.1378/chest.10-0973. [DOI] [PubMed] [Google Scholar]
- 26.Gu Y, Estcourt LJ, Doree C, Hopewell S, Vyas P. Comparison of a restrictive versus liberal red cell transfusion policy for patients with myelodysplasia, aplastic anaemia, and other congenital bone marrow failure disorders. Cochrane Database Syst Rev. 2015;2015:CD011577. doi: 10.1002/14651858.CD011577.pub2. [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Data Availability Statement
The datasets used and/or analyzed during the current study are available from the corresponding author upon reasonable request.