While conventional T1-weighted and fluid-sensitive sequences are entirely sufficient to determine the location and extent of a lesion, quantitative methods (chemical shift imaging, perfusion imaging, diffusion-weighted imaging, MR spectroscopy) have become available and provide metrics that may advance the role of MR imaging to include detection, characterization, and the reliable assessment of treatment response.
Abstract
Although the function of magnetic resonance (MR) imaging in the evaluation of musculoskeletal tumors has traditionally been to help identify the extent of disease prior to treatment, its role continues to evolve as new techniques emerge. Conventional pulse sequences remain heavily used and useful, but with the advent of chemical shift imaging, diffusion-weighted imaging, perfusion imaging and MR spectroscopy, additional quantitative metrics have become available that may help expand the role of MR imaging to include detection, characterization, and reliable assessment of treatment response. This review discusses a multiparametric approach to the evaluation of musculoskeletal tumors, with a focus on the utility and potential added value of various pulse sequences in helping establish a diagnosis, assess pretreatment extent, and evaluate a tumor in the posttreatment setting for recurrence and treatment response.
Supplemental material: http://radiology.rsna.org/lookup/suppl/doi:10.1148/radiol.12111740/-/DC1
© RSNA, 2012
Learning Objectives:
After reading the article and taking the test, the reader will be able to:
• List the additional information provided by diffusion-weighted and perfusion MR imaging and MR spectroscopy for characterization of musculoskeltal masses.
• Describe the ways in which diffusion-weighted and dynamic contrast-enhanced MR imaging and MR spectroscopy can be used to assess treatment response after neoadjuvant therapy prior to surgery of musculoskeletal masses.
• List the pulse sequences that constitute a comprehensive protocol for MR imaging of musculoskeletal tumors.
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Disclosure Statement
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Introduction
The role of magnetic resonance (MR) imaging in the evaluation of musculoskeletal tumors continues to evolve as newer pulse sequences emerge. One of the most important roles of MR imaging is in evaluating the extent of a musculoskeletal tumor for accurate treatment planning before surgery. For this purpose, conventional MR sequences are frequently entirely adequate in defining the full extent of a tumor, its relationship to the adjacent neurovascular bundle, and nearby joints (1). However, MR imaging may also be used for the roles of detection, characterization, and assessment of a tumor after treatment (both after neoadjuvant therapy before surgery for the assessment of treatment response and after surgery for assessment of postsurgical residual or recurrent disease) (2–6). The advent of chemical shift MR imaging (in-phase and opposed-phase imaging), diffusion-weighted (DW) imaging, perfusion imaging, and MR spectroscopy has advanced the role of MR for characterizing lesions for malignancy and assessing lesions after treatment. In this article, conventional and advanced imaging pulse sequences will be discussed as they relate to each of the roles MR imaging plays in the assessment of musculoskeletal tumors.
Musculoskeletal Tumor Imaging Protocol
No single imaging pulse sequence is sufficient to provide all the information required for the various roles MR imaging plays in the evaluation of musculoskeletal lesions. Each pulse sequence, as part of a comprehensive tumor imaging protocol (Table 1), may provide some additional value for the assessment of a musculoskeletal lesion, whether for characterization, determination of extent, or posttreatment evaluation. Table 1 lists the sequences used at our institution; the purpose of each is to provide anatomic, functional, or metabolic information. The comprehensive protocol in its entirety requires 60 minutes, 15 of which are devoted to the performance of MR spectroscopy. The techniques will be briefly described below in the order that they are performed for the tumor protocol at our institution. To decrease imaging time, if desired, only portions of the protocol may be performed, with the choice of sequences tailored to a specific role that MR imaging needs to fulfill for a given case.
Table 1.
Note.—ADC = apparent diffusion coefficient, PRESS = point-resolved spectroscopy, STIR = short tau inversion recovery, TWIST = time-resolved angiography with interleaved stochastic trajectories (Siemens, Erlangen, Germany), VIBE = volumetric interpolated breath-hold examination.
Refers to whether the sequence provides anatomic detail on tumor location and extent, functional information on tumor cellularity and effects on perfusion or diffusion in a tumor, or metabolic activity through identification of metabolic markers of malignancy.
Single voxel size for spectroscopy varies by lesion size with exclusion of adjacent muscle, bone, and fat.
Field of view varies by body part.
T1-weighted and Fluid-sensitive Sequences (Anatomic Techniques)
Primary musculoskeletal tumors are a heterogeneous group of entities that have variable signal intensity characteristics on T1-weighted and fluid-sensitive images (7). The T1 and T2 relaxation properties are not a consistently static feature of tumors, because they are reflective of changes in the tumor microenvironment due to many interacting factors that are present in a growing tumor, such as changes in water content due to necrosis and hemorrhage or myxoid change or changes in tumor oxygenation. Therefore, with treatment, changes in the T1 and T2 relaxation times in the tumor compared with pretreatment levels are naturally expected (8). In addition, differences in basic tumor histologic characteristics affect the appearance of musculoskeletal tumors on T1- and T2-weighted images. For example, lipomas will demonstrate signal intensity characteristics of fat, while myxoid tumors will generally demonstrate signal intensity characteristics of fluid on nonenhanced T1- and T2-weighted images. However, when Petterson et al (7) studied 54 sarcomas, the T1 and T2 relaxation times were shown to be variable and nonspecific with regard to histologic typing.
Nevertheless, conventional T1-weighted and fluid-sensitive MR sequences (fat-suppressed T2 weighted or STIR) are of paramount importance to the identification and delineation of the extent of a musculoskeletal tumor. In fact, for bone tumors, a nonenhanced true T1-weighted sequence is most important, because contrast between the marrow-replacing tumor and the surrounding normal fatty marrow is exquisitely optimized with a T1-weighted sequence (Fig 1a) (9). For soft-tissue tumors, given that skeletal muscle is of intermediate signal intensity, contrast between tumor and surrounding normal skeletal muscle is often not as pronounced on T1-weighted image but is evident on fluid-sensitive images (Fig 2a, 2b). When producing fluid-sensitive images, there is a choice of whether to use a STIR or a fat-suppressed T2-weighted sequence, and although either of these pulse sequences is sufficient, STIR produces more favorable contrast between fluid and surrounding tissues (10,11). However, the introduction of the spectral presaturation with inversion recovery, or SPIR, technique with T2 weighting may prove to be optimal (12).
Chemical Shift Imaging (Anatomic Technique)
Proton chemical shift MR imaging has been suggested as a valuable addition to a standard MR imaging protocol for the study of the bone marrow in vivo (4,13–16). In the present article, chemical shift imaging refers to in-phase and opposed-phased imaging (acquired with single or separate sequences) (17), although it should be noted that chemical shift imaging is sometimes used to describe spectroscopic imaging as well. In-phase and opposed-phase imaging are based on the principle of separately detecting protons that precess with very similar yet slightly different frequencies—namely, those of water and fat—to identify areas of fatty marrow replacement. When the protons of fat and water are located within the same voxel and are imaged while in phase, they will be responsible for additive signal intensity on the image; but when they are imaged in opposed phase, they will be responsible for a decrease in signal intensity on the image. In bone marrow, therefore, where there is abundant fatty marrow, a marrow-replacing tumor will demonstrate no evidence of decreased signal intensity on the opposed-phase image compared with the in-phase image (Figs 3, 4). Conversely, in a process where fatty marrow is not replaced (such as edema or red marrow mixed with yellow marrow), there will be a decrease in signal intensity on the opposed-phase image as compared with the in-phase image.
There have been a number of reports regarding the utility of distinguishing benign and malignant marrow processes by using chemical shift MR imaging, mainly by distinguishing whether the processes contain fat. According to Zajick et al (4), a 20% decrease in signal intensity on the opposed-phase images relative to that on the in-phase images is a reliable quantitative metric for distinguishing benign from malignant bone marrow in the spine. Other researchers have found similar results (13,16), but caution should be used in interpreting these studies. The utility of chemical shift imaging is likely more important in distinguishing a true marrow-replacing tumor from an infiltrative process such as bone marrow edema, hematopoietic marrow, or other infiltrative lesions rather than for strictly distinguishing benign and malignant bone tumors. Also, one should remember that the voxel of interest must contain both lipid and water; hence, a benign tumor such as a lipoma may show no decrease in signal intensity on the opposed-phase images as compared with that on the in-phase images, even though the neoplasm is benign.
DW Imaging (Functional Technique)
Unlike traditional T1-weighted, fluid-sensitive, and chemical shift imaging, with which signal intensity and morphologic changes are analyzed, DW imaging is a method of functional imaging (18,19). DW imaging measures the brownian motion of water at a microscopic level and is sensitive to changes in the microdiffusion of water within the intracellular and extracellular spaces (20). There is relatively unimpeded water motion in free extracellular water compared with intracellular water (21). Hence, restricted diffusion of water is observed in tumors and has been attributed to the increased cellularity that restricts water motion. As such, DW imaging is a measure of cellularity or cellular integrity (22,23).
Whereas DW imaging has been studied in the central nervous system more extensively, there are reports of its use in the evaluation of musculoskeletal tumors, including the characterization of vertebral fractures for the presence of underlying malignancy (24–26) and the characterization of soft tissue masses as benign or malignant (18,27–32). DW imaging has also been used for characterizing changes in the surgical bed in patients examined for evaluation of the possibility of recurrent tumor (23). Furthermore, DW imaging is well suited to the study of a sarcoma after neoadjuvant therapy to determine whether treatment-related necrosis has occurred in a tumor (19,22,33–45). Where cytotoxic edema develops (eg, in areas of treatment-related necrosis with changes to the dependent sodium-potassium pumps across the cell membrane), there will be increased water mobility, as compared with areas where tumor cellularity is maintained (eg, nonresponsive tumors) (46).
With a DW sequence, water diffusivity is measured by applying diffusion sensitizing gradients to T2-weighted sequences; DW images are interpreted by measuring the signal intensity decrease, which is proportional to the free motion of water molecules, with qualitative and quantitative analyses. For a qualitative analysis, viable malignant tissue shows little loss of signal intensity on DW images obtained with successively heavier diffusion weighting, whereas benign tissues or malignant tissues that have undergone necrosis lose their signal intensity with successively heavier diffusion weighting.
However, one of the best known pitfalls of DW imaging is in relying on a qualitative assessment of the signal intensity in a tumor. It is well known that the appearance of a tumor can be of similar intensity to fluid (so-called T2 shine through) on T2-weighted images. As such, it is essential to correlate qualitative findings with ADC maps, which provide a quantitative assessment of the diffusivity of the lesion. ADC quantifies the combined effects of diffusion and capillary perfusion and provides a measure of the flow and distance a water molecule moves in a tissue of interest. Hence, ADC is an established marker of tumor density or cellularity, such that a highly cellular region will have a low ADC (restricted water motion) and a poorly cellular region will exhibit a high ADC (unrestricted water motion). ADC is calculated from tumor signal intensities acquired with different diffusion weightings (represented by b values). When visualizing an ADC map, an area containing high ADCs will have increased signal intensity, whereas an area containing low ADCs will have correspondingly low signal intensity. Three diffusion weightings are used in our practice: b values of 50, 400, and 800 sec/mm2, which help ensure an accurate ADC measurement.
ADC mapping has been explored for the differentiation of benign from malignant lesions in the musculoskeletal system by exploiting potential differences in cellularity between benign and malignant abnormalities (47). In addition, after any event that has caused a change in the amount of water within a tissue, such as may be due to tumor growth, neovascularity, or tumor necrosis (19), changes in signal intensity on the DW images are naturally expected (Fig 2c, 2i). In fact, in the brain, changes on the DW images are visible before they can be seen on a T2-weighted image (48). Thus, although not fully established in the current literature at this time, there is a suggestion that DW imaging with ADC mapping can impart valuable information when attempting to assess a musculoskeletal tumor, especially when assessing for change after treatment (18,23,39).
Proton MR Spectroscopy (Metabolic Technique)
Proton MR spectroscopy is a means of molecular characterization of tumors with MR, and, like DW imaging, carries the important advantage that it requires no intravenous contrast medium. Signals of water, lipid, and other metabolites are acquired from a specific region of interest with MR spectroscopy, and the metabolic “footprint” of that region is elucidated. Certain biochemicals that have been established as markers of malignancy may be detected and provide a noninvasive method to help distinguish malignant from nonmalignant tissue. Results from previous studies have suggested that the metabolite choline, a composite spectral resonance consisting of free choline, phosphocholine, and glycerophosphocholine, is elevated in malignant lesions. Choline-containing compounds are constituents of the phospholipid metabolism of cell membranes that reflect cell membrane turnover, a feature of malignancy. Whereas proton MR spectroscopy has been a more routine part of a tumor imaging protocol in the brain, it has recently been explored in the musculoskeletal system (49–59).
A description of MR spectroscopy techniques along with their challenges and limitations is beyond the scope of this article; however, the literature thus far has supported the use of MR spectroscopy in the characterization of musculoskeletal tumors for malignancy, preferably with quantitative rather than qualitative approaches to the assessment of choline content in a lesion (51,52,54,56–59). The authors of musculoskeletal MR spectroscopy studies have been mostly qualitative in their assessment of choline content, using choline peaks or qualitative ratios (51,52,57–59) rather than absolutely quantitative measurements (53,56), a problem given that choline is elevated in malignant as well as benign tumors (49–59). Because MR spectroscopic measurements are affected by many imaging-related factors, qualitative imaging is limited in its reproducibility and its ability to provide a generalized solution (54). Recent investigations at 3 T (54,56) affirm the benefits of increased signal available with 3-T MR and the feasibility of determining the absolute choline concentration at MR spectroscopy by using a water-referencing method. These studies have shown that choline concentrations are notably different for benign and malignant musculoskeletal lesions, despite obvious limitations with the water-referencing method (notably, unpredictable and variable water content in a voxel of interest). Hence, in our practice, the tumor protocol is implemented at 3 T when possible, primarily to enable optimal assessment of metabolic content with MR spectroscopy. Figure 5 is an example of an indeterminate soft-tissue mass assessed with MR spectroscopy.
Perfusion MR Imaging (Functional Technique)
Perfusion imaging sequences are used for providing insight into the vascularity of a tumor and can be accomplished with a variety of pulse sequences, including DW sequences (31), unenhanced perfusion sequences (60,61), and the most commonly implemented dynamic contrast-enhanced sequence (62–80). Perfusion imaging with dynamic contrast-enhanced MR imaging is the most popular technique at this time, since other techniques have not been well explored for musculoskeletal tumors.
Dynamic contrast-enhanced MR imaging is performed with fast (usually volumetric) gradient-echo sequences that are prescribed over a section or volume of interest and repeated several times after intravenous contrast agent administration, to exploit the contrast-enhancement properties of a tumor (81). A gadolinium-based contrast agent is usually injected intravenously at a rate of 2–5 mL/sec, and imaging takes place with a temporal resolution of 5–30 seconds for approximately 3–7 minutes. The temporal resolution chosen for this pulse sequence depends on the need for spatial resolution and field-of-view coverage; as greater spatial resolution or a larger volume of sections is desired, the temporal resolution will be reduced. In our practice, we choose to perform a highly time-resolved MR angiographic sequence known as TWIST (Fig 5). TWIST sequences use a spiral trajectory that acquires k space from the center to the periphery. TWIST relies on partial k-space undersampling, with increased sampling of the center of k space compared with the periphery of k space, which thereby accentuates image contrast rather than fine detail, an advantage when attempting to identify areas of contrast enhancement compared with nonenhancing tissue within a tumor (82,83).
Analysis of a dynamic contrast-enhanced MR imaging study has been accomplished by using a variety of postprocessing methods, typically with the creation of time-intensity curves from a region of interest. At the first pass, tissue microvascularization and perfusion account for any early enhancement. Later, capillary permeability and enhancement of the interstitial space account for the plateau, washout, or postarterial increase in enhancement. Therefore, observation of the pattern of enhancement over time on a time-intensity curve provides insight into the vascular pharmacokinetics of a tumor that can be assessed qualitatively (with characterization of the enhancement pattern) or quantitatively (with calculation of various pharmacokinetic parameters such as the mean arterial slope or the time to peak enhancement) (73,76,77,84). Distinguishing patterns of enhancement that have been associated with benign and malignant musculoskeletal lesions (77,81,84,85), mainly by assessing the first-pass kinetics. Malignant lesions generally show early rapid enhancement (Fig 2e) and higher slopes of arterial enhancement compared with benign lesions, although this pattern is not entirely specific, as shown in Figure 5. The latter was echoed in a report by van Rijswijk et al (77), in which 32 of 67 benign soft tissue-tumors showed rapid arterial enhancement.
In addition to the analysis of time-intensity curves and enhancement patterns over time, pharmacokinetic modeling approaches to quantifying tumor blood flow, tumor microvasculature, and capillary permeability have been investigated and were shown to be potentially useful (64,86–88), although such an approach has been more extensively studied in other organ systems (89). Specifically, by incorporating the fractional volume of the extracellular extravascular space (ve), the transfer constant characterizing extravasation of gadolinium-containing agents from the plasma (Ktrans) and the transfer constant characterizing reflux of gadopentetate dimeglumine from the extravascular extracellular compartment into the plasma compartment (kep = Ktrans/ve) have been proposed as useful quantitative parameters for the assessment of tumor perfusion (86).
Dynamic contrast-enhanced MR imaging with pharmacokinetic modeling has been hampered by the fact that it is relatively cumbersome and requires postprocessing time; however, with the advent of more advanced and accessible postprocessing software, pharmacokinetic modeling may become a mainstream approach to the assessment of musculoskeletal tumors. In addition, early in its introduction dynamic contrast-enhanced MR imaging had been performed as a single-section technique, rather than as a volumetric acquisition (90). Single-section dynamic contrast-enhanced MR imaging provides data regarding a single section and only a portion of the tumor. Hence, because sarcomas tend to be heterogeneous and large, it has been shown for single-section dynamic contrast-enhanced MR imaging that no significant correlation is present between perfusion parameters and total tumor necrosis in patients who have undergone chemotherapy (73). It is imperative, therefore, that the entire tumor volume be analyzed with regard to perfusion dynamics. As such, a TWIST sequence is used at our institution for dynamic contrast-enhanced MR imaging with a 10-second resolution for 5 minutes. A composite image of the entire imaged volume is constructed that shows the contrast-enhancement pattern of the tumor over time; from these latter data, time-intensity curves may be produced and analyzed.
Delayed Contrast-enhanced T1-weighted MR Imaging (Anatomic Technique)
Following the dynamic perfusion sequence, which yields lower spatial resolution and greater time resolution, performance of a delayed contrast-enhanced fat-suppressed T1-weighted sequence, which produces higher spatial resolution, is advised to obtain a contrast-enhanced anatomic image (Fig 2f, 2l). This can be performed as a spoiled gradient-echo sequence or spin-echo type of sequence, typically with a 3–5 minute delay after contrast agent administration and completion of the perfusion sequence. In our practice, a gradient-echo sequence of isotropic resolution is performed in the coronal plane, and that data set is subsequently reconstructed into the other two planes. Fat suppression is applied to augment contrast between an enhancing tumor and surrounding structures. In addition, subtraction images, which are constructed by subtracting the unenhanced images from the contrast-enhanced images, further maximize contrast between an enhancing tumor and the surrounding tissues.
Role of MR Imaging in Musculoskeletal Tumor Evaluation
MR is used for a variety of indications in the evaluation of musculoskeletal tumors. Although, in the authors’ opinion, one of the most important roles for MR is in determining the extent of disease prior to treatment, (by using the anatomic sequences described earlier), detection, characterization, and posttreatment assessment will be discussed. Table 2 summarizes the role of MR in musculoskeletal tumor evaluation.
Table 2.
Detection
It is not uncommon for musculoskeletal lesions to be incidentally detected on imaging studies obtained for other reasons. For the purpose of detection of a symptomatic lesion, MR imaging is not typically a first-line test. A soft-tissue mass commonly comes to light because of its palpable nature and is found either by the patient or by the clinician at physical examination. For a bone lesion, bone pain often prompts a visit to the clinician, and a subsequent radiograph will commonly enable detection of the abnormality for the first time. For the axial skeleton, however, in areas such as the sacrum and pelvic bones, lesions may be radiographically occult and are not uncommonly detected for the first time at MR imaging. With the advent of whole-body MR imaging, MR may become a widespread first-line tool for the detection of metastatic disease, and it is currently performed at some centers (Fig 6). Whole-body imaging has been studied as an alternative to bone scintigraphy for the detection of metastatic disease to the skeleton. DW imaging has recently been added to whole-body protocols and has been shown to be equivalent to bone scintigraphy for the purpose of staging (91,92), although, in one study more lesions were detected with whole-body DW imaging than with scintigraphy (92).
Characterization
After detection of a musculoskeletal lesion, the next step in the management of the lesion is determination of whether the lesion is benign or malignant and, subsequently, whether it should be referred for biopsy to determine its histologic characteristics. Although the clinical features and findings from radiography and other imaging tests certainly play a role in the characterization of a musculoskeletal lesion, MR imaging by itself often lacks adequate specificity. On the basis of results from various studies (2,3,93,94), it is estimated that the ability of MR imaging to characterize lesion histologic characteristics is quite low, often less than 50%. This is especially true when lipomas and cysts are excluded from the analysis (95). Delayed contrast-enhanced MR imaging has been studied for the characterization of lesions, mainly for distinguishing benignity and malignancy, and has shown some promise (85,96). Malignant lesions tend to show arterial phase enhancement, compared with benign lesions. However, in one study, observers were able to improve their ability to characterize lesions for malignancy to only 48% at best (77). This is indeed unfortunate, because patients with benign musculoskeletal masses present to orthopedic clinics 100 times more frequently than do those with malignant lesions (97,98). Even at tertiary care centers, which have centralized sarcoma centers, at least half of biopsies performed on musculoskeletal lesions show a benign origin (99). The latter underscores the inability of current imaging techniques to enable a specific diagnosis, although the decision regarding biopsy of a benign lesion is also based on factors unrelated to the imaging appearance, such as the clinical presentation and anxiety level of the patient.
In a small number of pathologic conditions, the MR features of the lesion on conventional anatomic images are sufficiently specific to allow a histologic diagnosis. For example, simple lipomas are diagnosed by comparing the signal intensity of the lesion on fat-suppressed and non–fat-suppressed images. Cystic lesions, such as soft-tissue ganglia and synovial cysts or bone cysts, which may have variable internal signal intensity on T1-weighted and fluid-sensitive images, are diagnosed on the basis of a lack of contrast enhancement internally. As such, T1- and T2-weighted images are insufficient for diagnosing a cyst. In addition, caution is necessary for apparent “cysts” that contain thick septations or focal nodularity, because these features may indicate malignancy. Necrotic regions within a tumor and hematomas will also demonstrate cystic features. True cysts must have thin rims and simple septations without irregularity or nodularity. For entities such as simple cysts and lipomas, the use of functional and metabolic techniques is not necessary.
However, a lesion is commonly identified at MR imaging but has features on the anatomic images that lack sufficient specificity for enabling a diagnosis. In such cases, there are some general trends to keep in mind with regard to imaging characteristics on anatomic, functional, and metabolic images. First, with conventional unenhanced T1-weighted and fluid-sensitive sequences, the MR features of benign and malignant lesions overlap, although malignant lesions are generally more likely to have a heterogeneous appearance (100).
Second, intravenous contrast material allows the simple differentiation of a cyst from a solid lesion in both the skeleton and the soft tissues. If the lesion fails to enhance after contrast agent administration, it is deemed a cyst; if the lesion enhances with contrast agent administration, it is regarded as a solid lesion. Once again, as with conventional unenhanced anatomic imaging, there is much overlap between enhancement characteristics of benign and malignant lesions, although there are some general rules to apply. Malignant lesions usually enhance heterogeneously with contrast enhancement, show evidence of liquefaction, and enhance early and rapidly in the arterial phase (Fig 2). Because of the latter property, dynamic contrast-enhanced MR imaging is a favored technique to be used in the routine characterization of musculoskeletal tumors but is not performed at all institutions (77,85,96,101,102). The administration of intravenous contrast material is also useful for directing biopsies toward areas of contrast enhancement rather than areas of necrosis.
Third, as already discussed, chemical shift imaging is useful for differentiating a true marrow-replacing tumor from bone marrow edema, hematopoietic marrow, or other infiltrative processes in the skeleton (4,13–16). Chemical shift imaging is most helpful for differentiating benign from malignant fractures in the spine (Fig 4) and can similarly be used in the extremities for differentiating stress fractures from pathologic fractures (103).
Fourth, DW imaging has been used for the purpose of characterization. A number of authors have used DW imaging to distinguish benign and malignant entities (27,30,31,104). For example, Namimomoto et al (29) showed that leiomyomas could be distinguished from leiomyosarcomas on the basis of ADCs, with an ADC of less than 1 × 10−3 mm2/sec as a threshold for defining malignancy, although this work refers to soft-tissue tumors in the gynecologic system. Some authors have studied the differentiation of different histologic features of primary malignant lesions (32) and some have suggested that bone masses showing poor contrast enhancement and prolonged T2 can be evaluated with quantitative DW imaging (27). Caution should be exercised, however, when using DW imaging for characterization, because an overlap in the diffusion properties has been identified within benign and malignant soft-tissue tumors (18) and in particular, benign and malignant myxoid lesions (28). In general, the lower the ADC in a lesion, the higher the likelihood of malignancy. It should also be remembered that in a large or heterogeneous mass, multiple regions of interest should be analyzed within the mass to search for areas of lowest ADC (high cellularity).
Finally, MR spectroscopy is an emerging technique that has recently been applied to the characterization of musculoskeletal tumors. A systematic review of the literature in which a pooled analysis of 122 untreated musculoskeletal lesions reported in the literature was analyzed reveals that using the presence of detectable choline within a lesion has a sensitivity of 88% and specificity of 68% for malignancy (51,52,54,56–59), while the use of a quantitative approach to MR spectroscopy results (measurement of choline concentration) carried a specificity between 90% and 100%, depending on the threshold concentration that was used (54,56). At this time, the utility of MR spectroscopy lies with its high negative predictive value: If no choline is detectable in a tumor, it is likely to be benign. And, as various quantitative methods are validated, MR spectroscopy may prove to yield additional specificity for identifying those benign lesions that are metabolically active (with detectable choline levels).
Determination of Extent of Disease
Following characterization of a musculoskeletal tumor as malignant, an important role that MR plays in evaluating musculoskeletal lesions is in the identification of the extent of the tumor prior to surgery. This role is, in fact, easily accomplished with conventional T1-weighted and fluid-sensitive sequences. For bone tumors, as discussed by Vogler and Murphy (105) in 1988, a true T1-weighted sequence is one of the most important sequences needed to help evaluate the bone marrow. Because adult marrow is heavily composed of fat, normal marrow will be of increased signal intensity on T1-weighted images. A tumor is very simply identified by its complete replacement of normal fatty marrow (Fig 1a) which is darker than skeletal muscle. It is quite important to ensure that a true T1 weighted sequence is performed rather than an intermediate-weighted image, which will contain contributions from both T1 and T2 relaxation properties of the lesion and will not optimize contrast between the lesion and normal marrow. In patients with hematopoietic marrow reconversion, as is often seen with smokers, obese patients, and those with anemia, it is helpful to have criteria for distinguishing hematopoietic marrow from tumor infiltration. Hematopoietic marrow is typically ill defined and of higher signal intensity than adjacent skeletal muscle on a true T1-weighted image.
When there is dense hematopoietic marrow reconversion and it is unclear whether a tumor is present in the marrow, a second simple and quick imaging technique, chemical shift imaging, should be performed, which often provides valuable information, as shown in Figure 3. Chemical shift imaging is a fairly reliable means of distinguishing a marrow-replacing lesion from a non–marrow-replacing region and carries a sensitivity of 85%–95% and specificity of 80%–95% for this purpose (4,13,16). One of the main pitfalls of using chemical shift imaging is that it often has a low signal-to-noise ratio as a two-dimensional gradient echo sequence. Hence, it is best used in combination with a T1-weighted spin-echo sequence, which provides a greater signal-to-noise ratio and anatomic detail.
With regard to bone tumors, fluid-sensitive sequences with fat-suppressed T2-weighted imaging or STIR imaging help define periarticular bone marrow edema, periosteal reaction, and extension into the surrounding soft tissues (Fig 1b). This is important for defining how aggressive the lesion is, rather than defining its extent, in our opinion. As already discussed, for soft-tissue tumors the fluid-sensitive sequences frequently allow the lesion to become more conspicuous.
For soft-tissue tumors or those with soft-tissue extension, contrast material is routinely administered, although primarily for characterization purposes (to help distinguish cystic from solid soft-tissue lesions) rather than for defining the extent. With unenhanced imaging, encasement of the neurovascular bundle can be identified, although vascular patency is best assessed with contrast-enhanced techniques or angiography sequences.
Posttreatment Assessment
There are two settings in which MR imaging is utilized in the assessment of primary musculoskeletal tumors following treatment. First, after neoadjuvant chemotherapy and/or radiation therapy (before surgery), MR imaging is used to define the extent of the lesion after treatment and to help determine treatment response. Second, MR imaging is used after surgery to distinguish postoperative fibrosis and inflammation from residual or recurrent tumor.
Prediction of Treatment Response Following Neoadjuvant Therapy
The percentage of tumor necrosis seen at histologic examination (after surgical resection) has been shown to be the most reliable factor in predicting treatment response (and ultimately patient survival and risk of local recurrence) in patients with sarcoma. For bone sarcomas, the relationship between histologic necrosis and outcome has been well established, with necrosis greater than 90%–95% required for a good patient outcome (106,107). For soft-tissue sarcomas, the relationship of histologic tumor necrosis to patient outcome has not been as well explored, although Eilber and colleagues (108,109) have shown a good outcome in patients with 95% necrosis.
Unfortunately, histologic necrosis can only be determined after surgery. As such, it would be beneficial to have a presurgical measure of response with imaging. Predicting treatment response prior to surgery could result in an alteration of the chemotherapy regimen for the patient, a change in the timing of surgery and possibly the extent of surgery. Currently, response is measured by using RECIST (Response Evaluation Criteria In Solid Tumors, which simply use the longest dimension of the lesion as a quantitative metric), the Choi criteria (which incorporates density and longest dimension of the lesion as quantitative measures), and the recently proposed but not fully explored PERCIST (PET Response Criteria in Solid Tumors, which incorporate positron emission tomographic imaging results into the prediction of response) (110,111).
With conventional MR imaging, size and signal intensity changes are most commonly used to predict treatment response but have not been shown to be reliable for determining the effects of treatment (112). The limitations of conventional pulse sequences are related to the multiple scenarios that can occur after neoadjuvant therapy: A mass can remain stable in size due to nonresponse or it may increase in size due to nonresponse; alternatively, it may increase in size due to hemorrhage or it may decrease in size due to response. Hence, signal intensity and size changes can be highly variable and are not a robust measure of whether treatment necrosis has occurred (50). Therefore, for the prediction of treatment response, intravenous contrast material is universally given and, as discussed above, may be administered for a static or dynamic examination.
A static contrast-enhanced examination does not provide adequate detail regarding the percentage of necrosis in a tumor after treatment. Although the static contrast-enhanced study appears to show nonenhancement in many patients who have not responded to treatment, the static study can be misleading, because it has been observed that sarcomas show pathologic treatment response in the form of hyaline fibrosis, necrosis, and granulation tissue (112). As such, differentiation of viable tumor from fibrosis and granulation tissue can be difficult on static contrast-enhanced images, given that fibrosis and granulation tissue usually also enhance with intravenous contrast agent administration. Erlemann et al (65) echoed this concern and showed that static MR imaging is of little value in the determination of treatment response. As described earlier, dynamic contrast-enhanced MR imaging is a technique that exploits the contrast enhancement pattern in a tumor over time. With dynamic contrast-enhanced MR imaging, the differentiation of rapidly enhancing viable tumor from slowly enhancing inflammation and fibrosis is possible. In our practice, we perform the time-resolved TWIST sequence, which provides a volumetric view of contrast enhancement over time in the entire tumor. With this sequence, a qualitative analysis of the images will demonstrate the presence or absence of viable tumor on the early arterial phase contrast-enhanced images; a quantitative analysis can also be performed and pharmacokinetic parameters determined, although in our practice this may not done routinely due to constraints on time and practicality.
Another technique that has been explored for determining treatment response is DW imaging. The analysis of DW imaging data for this application should not be qualitative but rather rely on quantitative changes between the pretreatment and posttreatment images with measurement of the ADCs. Several reports have addressed the utility of DW imaging in the assessment of treatment response and have shown that ADCs correlate well with response in primary bone sarcomas in human patients (36,39,80,113) and in animal models (35,40,43). In soft-tissue sarcomas (18,22,45), ADC changes have been shown to correlate with tumor volume (22) and treatment response (18,45) (Fig 2).
One of the challenges in sarcoma imaging is the need to image the entire lesion. Often, an average ADC from a large tumor is used to show whether posttreatment necrosis has occurred, but this may mask substantial changes in portions of the tumor; Oka et al (39) showed that minimum ADC correlates with response better than average ADC does. At this time, an ADC threshold for differentiating a treatment responder from a nonresponder has not been rigidly determined, but it is likely that a change in posttreatment from pretreatment ADCs signifies some measure of response.
Finally, MR spectroscopy has been used in other organ systems to assess treatment response (114–117) but requires further study in the musculoskeletal system. MR spectroscopy may be used to assess posttreatment levels of metabolite markers of malignancy, compared with their pretreatment levels, to gauge whether treatment-related necrosis has occurred (Fig 2). When choline levels decline to undetectable levels in a tumor, it is likely that substantial necrosis has occurred (55).
Assessment of Postsurgical Site for Recurrent or Residual Disease
After surgery, the goal of MR imaging is to assess the surgical site for the possibility of recurrent or residual tumor. Unfortunately, postoperative inflammation and fibrosis are present in the surgical bed and may share many of the same characteristics as tumor on conventional MR images, because they can occasionally appear masslike (5). As such, it has been shown that only in the absence of abnormal T2-weighted signal intensity can one comfortably rule out the presence of recurrent tumor (118,119), although, uncommonly, a sarcoma recurrence may be of low signal intensity on T2-weighted images. A T1-weighted study is also useful for showing architectural distortion associated with a recurrent tumor, which is not well seen on fluid-sensitive images (Fig 7b). Hence, when a recurrent tumor is present, it can be fairly obvious on nonenhanced images. However, smaller or more subtle recurrences require contrast material administration. In addition, postoperative inflammation or fibrosis can appear masslike. As such, intravenous contrast material is routinely administered to help detect recurrence in the surgical bed when nonenhanced T2-weighted images show signal intensity abnormalities (119). At our institution, a dynamic contrast-enhanced MR imaging study, as well as a delayed contrast-enhanced T1-weighted study, is routinely acquired for the purpose of assessing the postsurgical site for recurrent or residual disease. As is the case with remaining viable tumor after neoadjuvant therapy, recurrent or residual viable tumor after surgery is sought in our practice on a dynamic contrast-enhanced MR imaging study. Recurrent or residual tumor generally enhances early and rapidly, while posttreatment inflammation and fibrosis enhance gradually over time (Fig 7c). DW imaging has also been studied for the purpose of distinguishing different tissue types in the surgical bed, including edema, hygromas, and recurrent tumors (23). Often, in our experience, a recurrent tumor is identified by using an anatomic image or a dynamic contrast-enhanced MR study. The DW image then provides additional characterization properties for confirmation of the tumor’s malignant nature (Fig 7c).
Finally, MR spectroscopy has been studied in the postsurgical setting. There are two spectral patterns that have been identified: In patients who have undergone resection with placement of musculocutaneous flap, MR spectroscopy of the surgical bed shows the typical spectrum of muscle in the surgical bed, as expected (51); in patients without muscle flap reconstruction, MR spectroscopy usually shows negligible choline content if no recurrent tumor is present (51,54). However, as with DW imaging, MR spectroscopic measurements of metabolite content in the surgical bed have yet to be fully explored.
Conclusion
The role of MR imaging in the evaluation of musculoskeletal tumors continues to evolve as new techniques emerge. While conventional T1-weighted and fluid-sensitive sequences are entirely sufficient to help determine the location and extent of a lesion, quantitative methods (chemical shift imaging, perfusion imaging, DW imaging, MR spectroscopy) have become available and provide metrics that may advance the role of MR imaging to include detection, characterization, and reliable assessment of treatment response. In this review, the evaluation of musculoskeletal tumors with MR imaging was discussed with an eye to the potential value of the various pulse sequences in providing important information for establishing a diagnosis, assessing pretreatment extent, and evaluating a tumor in the posttreatment setting (Movie [online]). It should be noted that further investigation of these sequences is still needed to draw definitive conclusions as to their value and effect on patient outcome in each of the roles that MR imaging plays for the assessment of musculoskeletal tumors.
Essentials.
• For the detection of a musculoskeletal mass, whole-body imaging has advanced the role of MR, and radiographically occult lesions—especially in the pelvis or spine—may be detected by using MR.
• For the characterization of a musculoskeletal mass with MR, functional (diffusion-weighted imaging, perfusion imaging), and metabolic techniques (proton MR spectroscopy) may provide additional valuable information.
• When evaluating for treatment response after neoadjuvant therapy and before surgery, contrast-enhanced static MR imaging is limited, because both viable tumor and posttreatment scar tissue enhance after contrast agent administration.
• To accurately determine the extent of a bone tumor before surgery, a nonenhanced T1-weighted MR image is essential.
• Chemical shift MR imaging, both in phase and opposed phase, is a fast imaging technique with which a marrow-replacing tumor can be identified and distinguished from bone marrow edema or hematopoietic marrow.
Disclosures of Conflicts of Interest: L.M.F. No relevant conflicts of interest to disclose. M.A.J. No relevant conflicts of interest to disclose. X.W. No relevant conflicts of interest to disclose. J.A.C. Financial activities related to the present article: received a grant from Siemens Medical Systems. Financial activities not related to the present article: served as consultant to Quality Medical Metrics and Medtronics; has grants or grants pending from Siemens Medical Systems, Carestream Health, Toshiba, and Integra. Other relationships: none to disclose. D.A.B. No relevant conflicts of interest to disclose.
Supplementary Material
Acknowledgments
The authors thank Rena Geckle and Leonard Frankford for assisting with media production related to this manuscript.
Received September 19, 2011; revision requested October 26; revision received December 8; accepted January 13, 2012; final version accepted January 23.
L.M.F. supported by the AUR GE Radiology Research Academic Fellowship (2008), SCBT-MR Young Investigator Award (2004), and the William M. G. Gatewood Fellowship.
Funding: This research was supported by the National Institutes of Health (grants R01 CA118371, R01EB009367, 2R01CA112163, NIH R01CA100184, P50CA103175, 5P30CA06973, P50CA88843, and U01CA140204). D.A.B. is an employee of the National Institutes of Health.
Abbreviations:
- ADC
- apparent diffusion coefficient
- DW
- diffusion weighted
- STIR
- short tau inversion recovery
- TWIST
- time-resolved angiography with interleaved stochastic trajectories
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