De Novo Assessment of Pediatric Musculoskeletal Soft Tissue Tumors: Beyond Anatomic Imaging

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1 De Novo Assessment of Pediatric Musculoskeletal Soft Tissue Tumors: Beyond Anatomic Imaging Shivani Ahlawat, MD, Laura M. Fayad, MD abstract The Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins Medical Institutions, Baltimore, Maryland Dr Ahlawat drafted the initial manuscript and reviewed and revised the manuscript; Dr Fayad conceptualized the review and reviewed and revised the manuscript; and both authors approved the final manuscript as submitted and agree to be accountable for all aspects of the work. DOI: /peds Accepted for publication Feb 9, 2015 Address correspondence to Shivani Ahlawat, MD, The Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins Medical Institutions, 601 North Wolfe St, Baltimore, MD PEDIATRICS (ISSN Numbers: Print, ; Online, ). Copyright 2015 by the American Academy of Pediatrics FINANCIAL DISCLOSURE: Dr Fayad was a recipient of a General Electric Radiology Research Fellowship (GERRAF) award ( ), a Siemens Medical Systems grant ( ), and a Young Investigator Award (SCBT/MR 2004) and was supported by the Johns Hopkins Sarcoma Program (2012); and Dr Ahlawat has indicated she has no financial relationships relevant to this article to disclose. FUNDING: No external funding. POTENTIAL CONFLICT OF INTEREST: The authors have indicated they have no potential conflicts of interest to disclose. MRI plays a central role in the assessment of pediatric musculoskeletal soft tissue tumors. Although these neoplasms may initially be evaluated on other modalities, such as sonography, MRI is essential for accurately determining the extent of disease. Traditionally, MRI has been performed with sequences that provide excellent anatomic detail, with T1-weighted, fluid-sensitive, and static postcontrast T1-weighted sequences. However, with the introduction of noncontrast sequences such as diffusion-weighted imaging and magnetic resonance spectroscopy to the arsenal of available MRI techniques, functional and metabolic features of a neoplasm can now be examined noninvasively. These more recent MRI methods offer information for lesion characterization, the assessment of treatment response, and the distinction of postoperative scar from recurrence. Dynamic contrast-enhanced perfusion imaging is another useful functional technique that can be acquired before conventional static postcontrast imaging, without requiring additional contrast material. This review presents recent advances in MRI methodology that enable a comprehensive clinical assessment of musculoskeletal tumors in the pediatric population. The roles and challenges of combining anatomic, functional, and metabolic MRI sequences will be discussed as they relate to newly discovered soft tissue tumors in children. A principal role for MRI in the evaluation of pediatric musculoskeletal tumors is the determination of extent of disease for appropriate preoperative planning. Diffusion-weighted imaging (DWI), dynamic contrast-enhanced perfusion imaging (DCE-MRI), and magnetic resonance spectroscopy (MRS) have expanded the role of MRI to include lesion characterization, treatment response, and the detection of postsurgical recurrence. In this review, conventional (anatomic sequences) and advanced (functional and metabolic sequences) imaging will be discussed, with an emphasis on how these sequences are used in the clinical setting of newly discovered (de novo) pediatric soft tissue tumors. The assessment of treatment response and postsurgical recurrence is beyond the scope of this article. CHALLENGES IN THE PEDIATRIC PATIENT Pediatric imaging presents unique challenges that are not encountered in the adult setting. The need for sedation in young children requires that a comprehensive protocol also be succinct. A complete tumor protocol that includes anatomic, functional, and metabolic sequences has been previously described. 1 The examination requires 60 minutes, with 15 minutes of this time allotted to MRS if desired (see Table 1). Additional challenges encountered in pediatric patients include their small size with resultant decreased signal and inherently low scan resolution. STATE-OF-THE-ART REVIEW ARTICLE PEDIATRICS Volume 136, number 1, July 2015

2 TABLE 1 MRI Sequences in a Comprehensive Protocol for Imaging Tumors at 3T Technique Pulse Sequence Time Allotted, min Relevant Parameters Application to Soft Tissue Tumors Anatomic T1-weighted (in 2 planes) 6 TR/TE 790/15, 5-mm slice thickness Determination of extent Fat-suppressed T2-weighted or STIR (in 2 planes) 9 TR/TE 3600/70 or 4000/19 Detection 5-mm slice thickness Characterization Determination of extent Unenhanced three-dimensional fat-suppressed 3 TR/TE 4.6/1.4 Characterization T1-weighted (isotropic volumetric sequence) 1-mm slice thickness Flip angle 9.5 Delayed contrast-enhanced three-dimensional 3 TR/TE 4.6/1.4 Characterization fat-suppressed T1-weighted volumetric 1-mm slice thickness Determination of extent sequence Flip angle 9.5 Subtraction images 0 Subtraction Characterization Functional DWI with ADC maps 3 TR/TE 760/80 Characterization b = s/mm 2 Time resolved MR perfusion 3 TR/TE 2.5/0.9 Characterization Flip angle 20 Temporal resolution 10 s for total 5 min Metabolic Proton MRS 15 PRESS 2000/135 Characterization Single voxel PRESS,. Therefore, choosing a coil that closely matches the field of view being imaged is critical to extracting the maximum signal from pediatric patients. Three-dimensional volumetric imaging with isotropic resolution allows for high spatial resolution without gap imaging and reconstruction in other planes from only 1 acquisition; as such, an accurate lesion size can be obtained. Understanding the advantages and disadvantages of each sequence in the tumor protocol (discussed below) allows the radiologist to choose specific sequences to best optimize the protocol in an effort to conserve time and tailor an examination to a particular clinical indication (Table 2). TUMOR PROTOCOL: ANATOMIC IMAGING T1-Weighted Sequences Pure spin-echo T1-weighted imaging is performed to take advantage of the differences in T1 relaxation properties between a tumor and the surrounding tissues. In fact, a nonenhanced spin-echo T1- weighted image has been established as the most important sequence for the assessment of marrow replacement or intraosseous extension of a neoplasm. 2 Fluid-Sensitive Sequences Although both short tau inversion recovery (STIR) and chemical fat suppression of T2-weighted sequences can produce fluid-sensitive images, STIR reportedly offers greater contrast resolution between fluid and the surrounding tissues. 3,4 Recent developments in producing fluid-sensitive imaging include threedimensional sequences of isotropic resolution, such as the steady state gradient echo sequences; however, as yet, these sequences have not been specifically studied to determine if they provide optimal contrast between a tumor and other musculoskeletal structures. Static Postcontrast T1-Weighted Sequences The application of fat suppression to a T1-weighted postcontrast sequence provides improved contrast resolution for identifying areas that exhibit contrast enhancement. In addition, static postcontrast parameters may be combined with high spatial resolution (isotropic resolution) with the use of threedimensional gradient-echo sequences; the latter may be acquired in a single plane 3 to 5 minutes after contrast injection, then subsequently reformatted into multiple other planes. Subtraction images are also valuable and can be constructed by subtracting the unenhanced images from the contrast-enhanced images to further exploit the difference in contrast between an enhancing tumor and surrounding normal musculoskeletal tissues. TUMOR PROTOCOL: FUNCTIONAL IMAGING DWI Unlike anatomic sequences, DWI is a method of functional imaging DWI measures the Brownian motion of water at a microscopic level within the intra- and extracellular spaces. 5,6 Water flows relatively freely in the extracellular space and demonstrates restricted diffusion in the intracellular space. 5 Therefore, cellular regions, such as tumors, show restricted diffusion and DWI can be used to gauge the degree of cellularity or cellular integrity. Any sequence may be altered to be diffusion sensitive, although in clinical practice, T2-weighted sequences are most commonly used PEDIATRICS Volume 136, number 1, July 2015 e195

3 TABLE 2 Strengths and Limitations of Anatomic, Metabolic, and Functional Imaging in the Assessment of New Pediatric Musculoskeletal Lesions Sequence Strengths Limitations Anatomic imaging T1-weighted Excellent contrast between normal fatty marrow and tumor Soft tissue masses may be isointense to skeletal muscle Provides good signal and anatomic resolution Essential for defining intraosseous extension Fluid-sensitive sequence Provides information on aggressive features (periosteal reaction, perilesional edema, and soft tissue extension) Sensitive, but not specific for, characterization or defining tumor extent Static postcontrast Distinguishes cysts and solid tumors with high accuracy Overlap in contrast enhancement patterns for benign and Provides information on aggressive features (periosteal malignant lesions reaction, perilesional edema, and soft tissue extension) Requires intravenous access for contrast administration May assess vascular patency Functional imaging DWI Noncontrast technique Lower signal-to-noise ratio and spatial resolution than Quantitative method anatomic sequences Aids in lesion characterization Must be used in conjunction with anatomic T1-weighted Lower ADC values associated with malignant lesion images Higher ADC values associated with cysts and benign lesions Pitfalls include hemorrhage, giving falsely low ADC values Some overlap in ADC values of benign and malignant lesions Perfusion imaging Provides high temporal resolution for assessing contrast Requires intravenous access enhancement patterns in a lesion Distinguishes benign from malignant lesions based on enhancement patterns and pharmacokinetics Offers low spatial resolution when temporal resolution is high Requires minimal scanner time in addition to static Should be interpreted with anatomic sequences postcontrast imaging Metabolic imaging MRS Noncontrast technique Requires development and training High negative predictive value for malignancy based in choline/trimethylamine content for this purpose. The magnitude of the sensitivity of the sequence to Brownian motion is described by the b-value and at least 2 (preferably.2) different b-values are used. The choice of exact b-value is likely not critical as long as a mixture of low and high b-values are used. 7,8 In our practice, b-values of 50, 400, and 1000 s/mm2 are used but values of 0 and 1000 s/mm2 have also been discussed. 7,8 DWI analysis can be qualitative or quantitative. For a qualitative analysis, the images are assessed visually for approximate loss of signal as diffusion weighting successively increases. For quantitative analysis, a region of interest (ROI) is drawn and the minimum, average, and maximum apparent diffusion coefficient (ADC) values may be recorded. Viable malignant tissue shows little loss of signal intensity on diffusion-weighted images obtained with successively heavier diffusion weighting, whereas benign tissues or malignant tissues that have undergone necrosis lose their signal intensity with progressively heavier diffusion weighting. There is no standard procedure for the size or placement of the ROI used to determine ADC values, a potential cause for interreader variability among studies. In our practice, an elliptical ROI is placed to encompass most of the lesion on multiple images, where the tumor appears to have the lowest signal on the ADC map. Although DWI has many advantages, there are pitfalls as well: DWI has inherent low signal-to-noise and resolution (making it unreliable in small subcentimeter lesions) and is prone to susceptibility artifacts (producing false-positive regions of apparent restricted diffusion in areas containing or adjacent to blood products and air). As such, DWI is always interpreted in conjunction with anatomic sequences. It may, however, be particularly useful when intravenous contrast cannot be administered, 13 which is an additional advantage in the pediatric population. Perfusion/DCE-MRI DCE-MRI is typically performed with rapid, volumetric, gradient-echo sequences that cover a volume of interest repeatedly after the intravenous administration of a contrast agent. 14 Contrast material is usually injected intravenously at a rate of 2 to 5 ml/second, and imaging takes place with a temporal resolution of 3 to 10 seconds 15 carried out for as short as 2 minutes or as long as 5 to 7 minutes. The temporal resolution chosen for this pulse sequence depends on the need for spatial resolution and field-ofview coverage. In our practice, we perform a highly time-resolved magnetic resonance (MR) angiographic sequence, which uses a spiral trajectory that acquires k space from the center to the periphery, relying on partial k-space undersampling and increased sampling of the center of k space e196 AHLAWAT and FAYAD

4 compared with its periphery. This method of undersampling enhances image contrast rather than fine detail, an advantage when trying to detect regions of hyperenhancement relative to nonenhancement. 15 Similar to DWI, DCE-MRI can also be analyzed qualitatively or quantitatively. A qualitative analysis consists of visually inspecting the pattern of enhancement within a lesion over time to establish whether rapid arterial enhancement is present, a characteristic of malignant tissue, although some benign lesions may show a similar pattern of enhancement. 16 Semiquantitative methods of postprocessing exist, with the creation of time-intensity curves from an ROI. Distinguishing patterns of enhancement have been described for benign and malignant musculoskeletal lesions, primarily by assessing the first-pass kinetics. More absolute quantitative approaches with pharmacokinetic modeling also exist to quantify tumor blood flow, tumor microvasculature, and capillary permeability, although these have been investigated to a very limited degree in osteosarcomas 23,24 but have not been reported in soft tissue tumors and are not used clinically. TUMOR PROTOCOL: METABOLIC IMAGING MRS MRS is a means of molecular characterization of tumors with MR, and like DWI, requires no intravenous contrast medium, making it a noninvasive technique. Proton MRS is a technique that is more easily integrated into a clinical MRI protocol, although phosphorous MRS has been studied in osteosarcomas. 25 Phosphorous MRS, a form of heteronuclear MRS, requires specialized equipment and is not practical in a clinical tumor protocol. Its feasibility in the pediatric musculoskeletal system has been demonstrated in a multicenter study of proton MRS concentrated on Duchene muscular dystrophy. 26 MRS detects signals from water, lipid, and other metabolites from a specific ROI to identify the underlying metabolic makeup of a lesion. Results from previous studies have suggested that trimethylamine, which participates in the phospholipid metabolism of cell membranes and is affected by cell turnover, is elevated in malignant neoplasms This technique is currently under investigation and is not widely used in pediatric musculoskeletal tumor imaging, but it has been shown to play an important role in lesion characterization by offering high negative predictive value. 31 Determinate by Ultrasound Clinical presentation of a palpable soft tissue mass in a child Assessment by pediatrician or pediatric surgeon Referral for Ultrasound Determinate by MRI APPLICATIONS OF MRI FOR NEWLY DISCOVERED SOFT TISSUE MASSES Soft tissue tumors are rare in childhood and adolescence. The most common benign mass is vascular (a hemangioma of infancy or a vascular malformation in later ages), whereas the most common malignancy is rhabdomyosarcoma. 32 The nonrhabdomyosarcoma soft tissue sarcomas include synovial sarcoma, malignant fibrous histiocytoma, fibrosarcoma, and malignant peripheral nerve sheath tumors (especially in neurofibromatosis type 1). 32 The role of various MR sequences for the detection, characterization, and determination of tumor extent in soft tissue masses will be discussed below. Indeterminate by Ultrasound MRI Indeterminate by MRI Biopsy FIGURE 1 Diagnostic workup for a pediatric patient presenting with a palpable soft tissue mass. PEDIATRICS Volume 136, number 1, July 2015 e197

5 Detection The initial detection of pediatric soft tissue masses is usually on a clinical basis, with the patient having a palpable mass that is discovered by the parent or physician. Uncommonly, soft tissue masses in the deep tissues are detected by cross-sectional imaging. Ultrasound is typically performed for the assessment of superficial lesions, but for the deep tissues computed tomography or MRI is more useful. For the purpose of detection, noncontrast anatomic MRI techniques (T1 and fluid-sensitive sequences) are sufficient for detecting a soft tissue mass. Intravenous contrast and functional and metabolic techniques are not typically required for the sole purpose of detection. Characterization Most soft tissue tumors in children are benign, with hemangiomas, vascular malformations, neurofibromas (in neurofibromastosis syndromes), and aggressive and juvenile fibromatosis being most common. Not all soft tissue tumors require imaging for characterization, because an experienced pediatrician or pediatric surgeon can recognize benign hemangiomas on the basis of clinical features. The term hemangioma encompasses a group of benign endothelial neoplasms including infantile hemangioma, congenital hemangioma, and kaposiform hemangioendothelioma. 33 In comparison, vascular malformations arise from dysplastic vascular channels and demonstrate normal endothelial turnover, growing with the child without involution. Infantile hemangiomas are not visible at birth but manifest during the first few weeks of life. 33 On the contrary, congenital hemangiomas are mature at birth and categorized by their clinical course with rapid involution or proportional growth. 33 MRI features of infantile hemangiomas differ according to their biological phase. In the proliferating phase, they appear as well-defined, lobulated, T2-hyperintense masses with flow voids due to high-flow feeding arteries and draining veins as well as intense, uniform contrast enhancement that can be characterized by DCE-MRI. During the involuting phase, appearances are more varied and heterogeneous, with increasing fatty replacement of tumor and less avid enhancement. 33 Hemangiomas characteristically lack perilesional edema and arteriovenous shunting. Hence, when perilesional edema is identified, other neoplastic lesions should be excluded. 33 For masses that do not meet strict clinical criteria for benignity by the pediatrician or surgeon, the first-line study in children is typically an ultrasound, and cysts, hemangiomas, and fibrous pseudotumors (eg, fibromatosis colli) can often be characterized with ultrasound alone (Fig 1). Otherwise, primary soft tissue masses are a heterogeneous group with variable T1 and T2 relaxation properties and enhancement patterns (Fig 2). The T1 and T2 signal characteristics represent variations within the tumor microenvironment related to hemorrhage, necrosis, mineralization, and myxoid content and generally do not indicate FIGURE 2 Nine-year-old girl with right calf myxofibroma. A, Axial T1-weighted image (TR/TE 450/16) shows a right posterior calf subcutaneous mass (arrow) that is isointense and indistinguishable from adjacent skeletal muscle. B and C, Fluid-sensitive STIR (TR/TE 3600/53/180) (B) and static postcontrast fat-suppressed images (TR/TE 17.5/9.52) (C) are essential in lesion detection and characterization, identifying the posterior knee soft tissue mass (arrow) as a solid lesion rather than a cyst. D, The ADC map also shows the hypointense mass (arrow) with a minimum ADC value of mm 2 per second and an average ADC value of mm 2 per second. e198 AHLAWAT and FAYAD

6 a specific histology. 34 However, a few lesions have characteristic features on conventional sequences and include cysts or ganglions, abscesses, hemangiomas, vascular malformations, and lipomatous masses (lipoblastomas). For diagnosing a soft tissue cyst, ultrasound has been the traditional method used for diagnosis. Some periarticular cysts, such as Baker s cysts, can be characterized by the presence of fluid in a characteristic location (between the tendons of the semimembranous and medial gastrocnemius). Otherwise, with MRI, intravenous contrast is typically needed, and a thin rim-enhancing soft tissue mass by MRI without internal enhancement is the criterion used to rule out a tumor and diagnose a cystic lesion; the latter may represent a simple cyst, an abscess, or a lymphatic malformation, depending on the clinical context. A cystic lesion with clinical features of infection is consistent with an abscess. A mass containing predominantly fluid signal with only septal enhancement can be characterized with a high degree of confidence as a macrocystic lymphatic malformation. Recently, quantitative DWI was described as a noncontrast alternative MRI technique for distinguishing cysts and solid tumors with high negative predictive value for ruling out a tumor and diagnosing acyst. 13 Lesions containing macroscopic fat (lipomatous masses) are characterized by their high T1 signal that is suppressed on fat-suppressed sequences. A lipoblastoma in an older child can be diagnosed due to its intrinsic macroscopic fatty composition and resultant high T1 signal; however, lipoblastomas in younger children may contain more myxoid elements, confounding the diagnosis. 35 The more important dilemma for characterizing lipomatous masses is deciding FIGURE 3 Thirteen-year-old girl with desmoid of the chest. A, Coronal T2-weighted image (TR/TE 6292/56) shows a large right hemithoracic hyperintense mass (arrow). It is indistinguishable from a malignant lesion on anatomic imaging alone. B, Coronal image from a dynamic contrast-enhanced study (TR/TE 2.66/0.98) shows lack of early arterial enhancement (arrow) (a feature of benignity). C, Subtraction postcontrast T1-weighted image (TR/TE 4.24/1.74) shows minimal homogeneous enhancement (arrow), consistent with, but not specific for, benign disease (because malignant lesions are more commonly heterogeneous). whether they are benign or malignant. Usually, lipoblastomas cannot be confidently distinguished from liposarcomas by imaging alone, although liposarcomas are extremely rare in children, comprising 3% of non-rhabdomyosarcoma sarcomas. 36 Intravenous contrast may be helpful in identifying enhancing nodular nonlipomatous regions in a tumor to identify malignancy. There is little information on the use of functional techniques in the assessment of lipomatous masses and a report of FIGURE 4 Seven-year-old girl with right calf alveolar rhadomyosarcoma. A, There is a right calf anterior compartment mass that is minimally hyperintense to skeletal muscle on T1-weighted image (TR/TE 688/16). B and C, The fluid-sensitive images (TR/TE 6292/56) (B) and static postcontrast images (TR/TE 4.24/1.74) (C) aid in the assessment of tumor extent. However, there is considerable overlap in the anatomic imaging features of this malignant lesion compared with the benign myxofibroma in Fig 1. D, The ADC map (TR/TE 7000/73) shows restricted diffusion centrally with a minimal ADC value of mm 2 per second and an average ADC value of mm 2 per second. E, In addition the maximum intensity projection from a dynamic contrast-enhanced study (TR/TE 2.66/0.98) demonstrates diffuse early arterial enhancement, a pattern that favors malignancy. PEDIATRICS Volume 136, number 1, July 2015 e199

7 FIGURE 5 Nineteen-year-old young man with left thigh synovial sarcoma. A and B, Axial T1-weighted (TR/TE 961/9.9) (A) and T2-weighted fat suppressed (TR/TE 3600/71) (B) images show left lateral thigh intramuscular mass with internal heterogeneity (arrow). C, Static postcontrast fat-suppressed T1-weighted image (TR/TE 4.08/1.48) also shows heterogeneous internal enhancement (arrow). D and E, The functional images demonstrate restricted diffusion on the ADC map (arrow) as denoted by dark regions within the mass (TR/TE 7600/80) (D) as well as early arterial enhancement with neovascularity on the DCE-MR angiography (arrow) (TR/TE 2.83/1.08), MRI features of malignancy (E). MRS showed its potential utility in confirming a benign etiology within a complex lipomatous mass. 37 Once cystic, lipomatous, and vascular lesions have been ruled out, it is estimated that the ability of MRI to accurately characterize lesions is low, often,50% Patterns of contrast enhancement in benign and malignant lesions overlap, 38 and with DCE-MRI malignant lesions typically demonstrate rapid early arterial enhancement and higher slopes of enhancement compared with benign lesions, 15,17 19 but this pattern is not entirely specific (Fig 3). DWI has been used for the purpose of characterization, although some overlap in the ADC values of benign and malignant entities have been reported, 9 12,42 Humphries et al 43 prospectively correlated the ADC and the histopathologic cell count to characterize soft tissue masses as benign or malignant in 19 children. A comparison of median ADC values with the median cell count for a specimen on high-power microscopy revealed an inverse relationship between ADC and cell count. Although there was no significant difference in the ADC values between benign and malignant lesions, all highly cellular (.150 cells per high-power field) lesions had an ADC value, mm 2 per second. In general, the lower the ADC in a lesion, the higher the likelihood of malignancy (Figs 4 and 5). Finally, MRS is an emerging technique that has recently been applied to the characterization of musculoskeletal tumors. At this time, the utility of MRS lies with its high negative predictive value. 1 If no appreciable choline-containing compounds are detectable in a tumor, it is likely to be benign (Fig 6). And, as various quantitative methods are validated, FIGURE 6 Eleven-year-old boy with neurofibromatosis type 1 and right inguinal, subcutaneous mass consistent with neurofibroma arising from a cutaneous branch of the right femoral nerve (short arrow). A, Note the subcutaneous mass (short arrow) with heterogeneous T2 signal on axial fluid sequence (TR/TE 3800/71) and a typical target sign associated with neurogenic neoplasms. B, The ADC map (TR/TE 8800/64) shows heterogeneous signal within the mass short (arrow) without restricted diffusion. Also note the marked thickening of the sciatic nerve (long arrow). C, MRS of the right inguinal mass shows a small choline (Cho) peak with greater creatine (Cr) peak, a pattern seen with benign rather than malignant lesions. e200 AHLAWAT and FAYAD

8 MRS may prove to yield additional specificity for lesion characterization. 37 Determination of Extent For soft tissue tumors, contrast material is routinely administered, although primarily for characterization purposes (to help distinguish cystic from solid soft tissue masses) rather than for defining the extent. T1-weighted and fluid-sensitive sequences provide adequate anatomic detail for defining the borders of the tumor, but perilesional enhancement after contrast administration is important in identifying tumor extension beyond the direct boundaries of a sarcoma. CONCLUSIONS Conventional anatomic MRI sequences remain essential in the initial workup of a pediatric musculoskeletal tumor, especially for the determination of tumor extent. However, for soft tissue mass characterization, conventional sequences are often deficient. Functional and metabolic techniques provide information for characterizing lesions for malignancy. Importantly, many of the nonconventional techniques described here require no intravenous contrast and add only little time to an MRI protocol, making these sequences particularly worthwhile in the pediatric population. ABBREVIATIONS ADC: apparent diffusion coefficient DCE-MRI: dynamic contrastenhanced perfusion imaging DWI: diffusion-weighted imaging MR: magnetic resonance MRS: magnetic resonance spectroscopy STIR: short tau inversion recovery ROI: region of interest REFERENCES 1. Fayad LM, Jacobs MA, Wang X, Carrino JA, Bluemke DA. Musculoskeletal tumors: how to use anatomic, functional, and metabolic MR techniques. Radiology. 2012;265(2): Richardson ML, Amparo EG, Gillespy T III, Helms CA, Demas BE, Genant HK. Theoretical considerations for optimizing intensity differences between primary musculoskeletal tumors and normal tissue with spin-echo magnetic resonance imaging. Invest Radiol. 1985; 20(5): Jones KM, Schwartz RB, Mantello MT, et al. 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9 21. van Rijswijk CS, Geirnaerdt MJ, Hogendoorn PC, et al. Soft-tissue tumors: value of static and dynamic gadopentetate dimeglumine-enhanced MR imaging in prediction of malignancy. Radiology. 2004;233(2): van der Woude HJ, Verstraete KL, Hogendoorn PC, Taminiau AH, Hermans J, Bloem JL. Musculoskeletal tumors: does fast dynamic contrast-enhanced subtraction MR imaging contribute to the characterization? Radiology. 1998; 208(3): Egmont-Petersen M, Hogendoorn PC, van der Geest RJ, et al. Detection of areas with viable remnant tumor in postchemotherapy patients with Ewing s sarcoma by dynamic contrast-enhanced MRI using pharmacokinetic modeling. Magn Reson Imaging. 2000;18(5): Hawighorst H, Libicher M, Knopp MV, Moehler T, Kauffmann GW, Kaick G. Evaluation of angiogenesis and perfusion of bone marrow lesions: role of semiquantitative and quantitative dynamic MRI. J Magn Reson Imaging. 1999;10(3): Redmond OM, Stack JP, Dervan PA, Hurson BJ, Carney DN, Ennis JT. Osteosarcoma: use of MR imaging and MR spectroscopy in clinical decision making. Radiology. 1989;172(3): Forbes SC, Walter GA, Rooney WD, et al. Skeletal muscles of ambulant children with Duchenne muscular dystrophy: validation of multicenter study of evaluation with MR imaging and MR spectroscopy. Radiology. 2013;269(1): Fayad LM, Barker PB, Bluemke DA. Molecular characterization of musculoskeletal tumors by proton MR spectroscopy. Semin Musculoskelet Radiol. 2007;11(3): Fayad LM, Barker PB, Jacobs MA, et al. Characterization of musculoskeletal lesions on 3-T proton MR spectroscopy. AJR Am J Roentgenol. 2007;188(6): Fayad LM, Bluemke DA, McCarthy EF, Weber KL, Barker PB, Jacobs MA. Musculoskeletal tumors: use of proton MR spectroscopic imaging for characterization. J Magn Reson Imaging. 2006;23(1): Fayad LM, Wang X, Salibi N, et al. A feasibility study of quantitative molecular characterization of musculoskeletal lesions by proton MR spectroscopy at 3 T. AJR Am J Roentgenol. 2010;195(1):W69 W Subhawong TK, Wang X, Durand DJ, et al. Proton MR spectroscopy in metabolic assessment of musculoskeletal lesions. AJR Am J Roentgenol. 2012;198(1): Arndt CA, Rose PS, Folpe AL, Laack NN. Common musculoskeletal tumors of childhood and adolescence. Mayo Clin Proc. 2012;87(5): Flors L, Leiva-Salinas C, Maged IM, et al. MR imaging of soft-tissue vascular malformations: diagnosis, classification, and therapy follow-up. Radiographics. 2011;31(5): ; discussion Gielen JL, De Schepper AM, Vanhoenacker F, et al. Accuracy of MRI in characterization of soft tissue tumors and tumor-like lesions: a prospective study in 548 patients. Eur Radiol. 2004; 14(12): Weiss SW, Goldblum JR. Benign lipomatous tumors. In: Weiss SW, Goldblum JR. eds. Enzinger and Weiss Soft Tissue Tumors. 5th ed. St Louis, MO: Mosby; 2008: Gurney JG, Young JL, Roffers SD, Smith MA, Bunin GR. Soft tissue sarcomas. In: Ries LAG, Smith MA, Gurney JG, Linet M, Tamra T, Young JL, Bunin GR, eds. Cancer Incidence and Survival among Children and Adolescents: United States SEER Program Bethesda, MD: National Cancer Institute; 1999: Fayad LM, Wang X, Blakeley JO, et al. Characterization of peripheral nerve sheath tumors with 3T proton MR spectroscopy. AJNR Am J Neuroradiol. 2014;35(5): Crim JR, Seeger LL, Yao L, Chandnani V, Eckardt JJ. Diagnosis of soft-tissue masses with MR imaging: can benign masses be differentiated from malignant ones? Radiology. 1992;185(2): Moulton JS, Blebea JS, Dunco DM, Braley SE, Bisset GS III, Emery KH. MR imaging of soft-tissue masses: diagnostic efficacy and value of distinguishing between benign and malignant lesions. AJR Am J Roentgenol. 1995;164(5): Kransdorf MJ, Jelinek JS, Moser RP Jr, et al. Soft-tissue masses: diagnosis using MR imaging. AJR Am J Roentgenol. 1989; 153(3): Hermann G, Abdelwahab IF, Miller TT, Klein MJ, Lewis MM. Tumour and tumourlike conditions of the soft tissue: magnetic resonance imaging features differentiating benign from malignant masses. Br J Radiol. 1992;65(769): Einarsdóttir H, Karlsson M, Wejde J, Bauer HC. Diffusion-weighted MRI of soft tissue tumours. Eur Radiol. 2004;14(6): Humphries PD, Sebire NJ, Siegel MJ, Olsen OE. Tumors in pediatric patients at diffusion-weighted MR imaging: apparent diffusion coefficient and tumor cellularity. Radiology. 2007;245(3): e202 AHLAWAT and FAYAD

10 De Novo Assessment of Pediatric Musculoskeletal Soft Tissue Tumors: Beyond Anatomic Imaging Shivani Ahlawat and Laura M. Fayad Pediatrics 2015;136;e194 DOI: /peds originally published online June 29, 2015; Updated Information & Services References Subspecialty Collections Permissions & Licensing Reprints including high resolution figures, can be found at: This article cites 41 articles, 3 of which you can access for free at: This article, along with others on similar topics, appears in the following collection(s): Radiology Orthopaedic Medicine sub Information about reproducing this article in parts (figures, tables) or in its entirety can be found online at: Information about ordering reprints can be found online:

11 De Novo Assessment of Pediatric Musculoskeletal Soft Tissue Tumors: Beyond Anatomic Imaging Shivani Ahlawat and Laura M. Fayad Pediatrics 2015;136;e194 DOI: /peds originally published online June 29, 2015; The online version of this article, along with updated information and services, is located on the World Wide Web at: Pediatrics is the official journal of the American Academy of Pediatrics. A monthly publication, it has been published continuously since Pediatrics is owned, published, and trademarked by the American Academy of Pediatrics, 141 Northwest Point Boulevard, Elk Grove Village, Illinois, Copyright 2015 by the American Academy of Pediatrics. All rights reserved. Print ISSN:

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