INTRODUCTION
Soft tissue sarcomas (STSs) are a relatively rare group of heterogeneous tumors derived from mesenchymal tissue elements. An STS can occur at any age, accounting for less than 1% of all adult solid tumors and about 7% of pediatric malignancies. As a result, STSs are the cause of 2% of all cancer-related deaths.1,2
Typically, the clinical manifestation of an STS is of a heterogeneous soft tissue mass that grows over time. Symptoms usually develop due to the mass effect on nerves, vessels, and other adjacent structures. The anatomic locations at which STSs of musculoskeletal origin most often occur are the extremities (70%), followed by the thoracic wall.3 Within these locations, the muscular compartments are the most common spaces. Distinguishing between the more than 50 discrete histologic subtypes of STSs is possible through tissue biopsy. In adults, the most common histologic subtypes are liposarcoma, malignant fibrous histiocytoma (MFH), and leiomyosarcoma. In children, almost all STSs are rhabdomyosarcomas at 40%.4,5 Prognosis of disease is subsequently determined through the combination of the histologic subtype, the tumor’s grade, the size and depth of the primary tumor, the stage of the disease at its initial presentation, and the patient’s age. Following treatment, additional indicators of prognosis are incorporated, including the presence of disease at the margins of the resected specimen and the recurrence of disease on successive follow-up imaging studies. Treatment protocols often focus on surgical resection with the addition of adjuvant chemotherapy and radiotherapy. With current management strategies, the resulting 5-year survival for patients with an STS is 50% for adults and 71% for pediatric patients.3
With the advent of PET–computed tomography (CT), many clinicians and researchers have explored the use of (18) fluorine-2-fluoro-2-deoxy-d-glucose (FDG) PET imaging to improve the management of STSs. This article reviews the current evidence for use of FDG PET-CT in the general diagnosis, staging or prognosis, and treatment monitoring of STSs. Additionally, a brief overview of several of the most common histologic subtypes of STS are discussed with more specific information regarding the use of FDG PET-CT in the management of each subtype.
VALUE OF PET IN THE DIFFERENTIAL DIAGNOSIS OF PRIMARY SOFT TISSUE MASSES
FDG PET-CT is rarely the modality of discovery for a mass concerning for a STS. However, FDG PET-CT may be used for specific patient populations as a method for detecting malignant transformation of benign lesions into biologically aggressive lesions. One example of this is the case of plexiform neurofibroma transformation into a malignant peripheral nerve sheath tumor (MPNST).6,7 On finding a suspected malignancy, evaluation proceeds with tissue sampling and histologic grading. Though FDG PET-CT cannot replace a direct tissue sampling, it can significantly increase the diagnostic yield of the biopsy by targeting the hypermetabolic part of a heterogeneous lesion.3
Grading a tumor is the most reliable predictor of a tumor’s biological behavior and the patient’s ultimate clinical outcome. The most commonly used grading system for STSs is the French Federation of Cancer Centers Sarcoma Group (Fédération Nationale des Centers de Lutte Contre le Cancer [FFNLCC]) grading system. The FFNLCC system categorizes tumors based on the mitotic rate, cellularity, and degree of differentiation. Recently, many studies have explored the complementary role of FDG PET-CT in the grading of STSs.8–11 Benz and colleagues12 analyzed 120 subjects with 12 different STS subtypes. Their study revealed a significant relationship between the standard uptake value (SUV) at maximum SUV (SUVmax) of a lesion and the histologic grade given by the 3-tiered FFNLCC system when using a cutoff of 6.6 g/mL. On a meta-analysis examining a total 441 tumoral lesions that attempted to distinguish malignant STSs from benign lesions with FDG PET, Ioannidis and Lau13 reported a sensitivity and specificity of 87% and 79% using an SUVmax threshold of 2.0, and 70% and 87% using an SUVmax threshold of 3.0, respectively. In their study, 100% of the intermediate and high-grade sarcomas were detected, whereas 74% of lower grade sarcomas and 39% of benign lesions were correctly characterized. Furthermore, several additional studies have shown similarly high sensitivities in distinguishing high-grade sarcomas from lower grade tumors.14,15 Another meta-analysis, which included 341 subjects with STSs, revealed a sensitivity and specificity of 88% and 86%, respectively, when using the mean SUV to discriminate between low-grade sarcomas and high-grade sarcomas.16
Several recent studies have attempted to achieve better performance in STS and benign tumor differentiation by examining the lesion FDG kinetics. Lodge and colleagues17 reported that malignant STSs achieve the maximal FDG uptake 4 hours following the radiotracer injection, whereas benign lesions reached peak uptake after only 30 minutes. They found that these indices had a sensitivity and specificity of 100% and 76%, respectively. In another approach, Dancheva and colleagues18 studied the method of dual time point imaging for the detection of recurrent tumor in restaging FDG PET-CT studies. They reported that an increase in SUV greater than 10% on delayed imaging could detect high-grade sarcomas with a sensitivity and specificity of 100% and 80%, respectively.
With the many potential benefits of evaluating a primary tumor with FDG PET-CT, it is important to know its limitations. Though FDG PET-CT has shown the ability to differentiate between high-grade and benign tumors on multiple studies, there is lack of evidence of its ability to differentiate between low-grade and benign soft tissue lesions.3 One study found that false-negative interpretations of low-grade sarcomas was found to be primarily related to their low metabolic rate, whereas false-positive results of benign lesions were often the result of associated inflammation.16
PET IN INITIAL STAGING OF SOFT TISSUE SARCOMAS
Staging a patient’s STS is among the most important prognostic indicators for a patient’s clinical outcome. The most common site for STS metastasis is the lung (75%), whereas metastasis to lymph nodes and bones occur less frequently or more often with specific subtypes. The American Joint Committee on Cancer (AJCC) system of staging, based on the evaluation of the primary tumor, lymph node involvement, and distal metastasis, is the most commonly used staging system for STSs. Typically, the AJCC system uses CT scan and MR imaging to evaluate the primary tumor and assess for spread. More recently, the use of whole-body FDG PET-CT has been shown to play a complementary role in the staging and restaging of many cancers, including STSs. Lucas and colleagues19 reported a sensitivity and specificity of 86.7% and 100%, respectively, for detecting pulmonary metastases with FDG PET compared with 100% and 96.4%, respectively, for CT scan alone. Furthermore, FDG PET-CT found 13 additional, unexpected sites of metastases. Researchers, Volker and colleagues,20 and Ricard and colleagues,21 showed that PET-CT can detect a greater number of lymph nodes and bone lesions in the initial staging of an STS than conventional imaging alone; however, it had a lower sensitivity and specificity for detecting pulmonary metastases. A similar limitation was found by Fortes and colleagues22 in a study of 154 subjects with pulmonary nodules, 18 of which were STSs. They concluded that lack of high FDG uptake in a suspicious pulmonary nodule on a CT scan cannot exclude malignancy. Therefore, use of dedicated chest CT scan on full inspiration has been advocated.20,21
As mentioned previously, FDG PET-CT has been shown to be effective at detecting malignancy deposited in lymph nodes.23 This has proven useful for excluding distant metastases in patients who may otherwise be surgical candidates.3 In the evaluation of osseous metastases, a meta-analysis reported a greater sensitivity and specificity for detecting bone metastases with FDG PET-CT than with CT scan alone but with equal sensitivity and specificity to that of MR imaging.24–26 In either case, it is important to analyze both the PET and CT components to avoid missing lesions that demonstrate minimal metabolic activity, such as in densely sclerotic lesions.
RESTAGING AND TREATMENT RESPONSE ASSESSMENT
FDG PET imaging has also been found to be useful in both restaging the disease and assessing response to treatment. Kole and colleagues27 performed an analysis of 14 subjects involving the detection of recurrence of an STS using FDG PET-CT and reported 93% sensitivity. Al-Ibraheem and colleagues28 found that FDG PET-CT offered a higher accuracy of detection for recurrent bone or soft tissue tumors compared with conventional CT scan. This superiority is mainly due to its ability to discriminate local tumor recurrence from scar tissue in a treated area.28,29 However, an important finding to note when comparing FDG PET-CT in restaging versus the initial staging of a tumor is that calculated SUV cannot reliably predict a tumor’s grade at recurrence.30
Furthermore, it is becoming common knowledge that observing for a decrease in tumor size is a poor anatomic metric for the evaluation of treatment response. In particular, heterogeneous tumors can contain various tissue types with differential sensitivity to chemoradiation and may demonstrate no significant change in size even with effective treatment. Often, a tumor may even appear to grow in size due to changes such as increased edema or internal hemorrhage. Additionally, with the advent of new targeted therapies and cytostatic versus cytotoxic agents, classic treatment assessment based only on size is even less accurate. In a study by Evilevitch and colleagues,31 the reduction of metabolic activity, as measured by FDG PET-CT, was shown to be a more accurate predictor of tumor response to chemotherapy than the change in size as evaluated by the Response Evaluation Criteria In Solid Tumors (RECIST) criteria. Schuetze and colleagues32 found that a 40% decline in the SUVmax of a tumor in which the baseline SUVmax was greater than or equal to 6 g/mL could discriminate responders from nonresponders and help predict patient outcome. Similarly, another study stated that a 35% reduction in SUVmax is capable of predicting a histopathologic response in high-grade sarcomas even after only 1 cycle of chemotherapy.33 Moreover, Eary and colleagues34 showed that the percentage reduction of FDG uptake after 2 cycles of chemotherapy was also a good prognostic indicator. Though current evidence for FDG PET-CT is promising for use in evaluation of treatment response, additional studies with larger subject groups are needed.
HISTOLOGIC SUBTYPES
The following sections briefly review some of the most common STSs and the subtype-specific use of FDG PET-CT in their management.
Liposarcoma
Liposarcoma is among the most common STSs. They arise most often from the deep soft tissues of the extremities and retroperitoneum, and can demonstrate multiple histologic subtypes, including myxoid, pleomorphic, and dedifferentiated tumor cells.35–39 Considered a low-grade to intermediate-grade sarcoma, pleomorphic type accounts for 20% to 50% of all liposarcomas (Fig. 1) with a 5-year survival of about 90%.38,40,41 The standard treatment is complete tumor resection with negative surgical margins. The myxoid subtype demonstrates chemoradiotherapy sensitivity and often receives neoadjuvant therapy. Additionally, novel methods, such as photodynamic therapy with acridin, have been proposed as alternative therapy.42
Fig. 1.

A 63-year-old man presented with a growing right inguinal mass. CTscan demonstrated a fat-containing heterogeneous soft tissue mass (A, B). The lesion is heterogeneous with both fat and nonfat components on T1-weighted image (C), fat-saturated T1 (D) weighted image, heterogeneous short tau inversion recovery (STIR) hypersignal intensity (E), and postcontrast enhancement (F). The lesions is mildly hypermetabolic on PET-CTwith an SUVmax of 3.6 (G–I). STIR, short t1 inversion recovery. The pathologic assessment of the lesion confirmed pleomorphic liposarcoma.
CT and MR imaging are often sufficiently able to visualize the fat and nonfat tissue components (see Fig. 1A–F) of a liposarcoma and predict a sub-type; however, anatomic imaging is unable to distinguish the well-differentiated liposarcomas from benign lesions.43 Suzuki and colleagues44 found that both visual and quantitative analysis of FDG PET images could allow for differentiation of liposarcomas from lipomas. They stated that the mean SUV of the myxoid-type lipomas, as well as other types of liposarcoma, were significantly higher than that of well-differentiated liposarcoma by 2-fold and 3-fold, respectively.45 Another study by Schwarzbach and colleagues46 showed that more well-differentiated myxoid liposarcoma present with a lower FDG uptake than a dedifferentiated or pleomorphic tumor. They also demonstrated that an SUVmax greater than or equal to 3.6 was associated with a significantly reduced progression-free survival. Suzuki and colleagues46 offered a cutoff SUV of 0.81 to discern benign lipomatous lesions from sarcomas with a high level of accuracy. Lucas and colleagues,19 and Tateishi and colleagues,47 further reported that FDG uptake in liposarcoma depends on specific tumoral histologic features. Conill and colleagues48 proposed that the pleomorphic, mixed, and/or higher grade liposarcomas should be selected preferentially for FDG PET evaluation, whereas the The National Comprehensive Cancer Network (NCCN) guidelines have recommended that FDG PET-CT be used only for high-grade tumors larger than 3 cm.49 FDG PET-CT has a lower sensitivity of pulmonary metastasis detection and often underestimates the extent of osseous metastatic disease. The combination of FDG-PET-CT and MR imaging for the staging of myxoid-type liposarcomas may be helpful in this clinical setting.48
Malignant Fibrous Histiocytoma
MFH, also known as pleomorphic undifferentiated sarcoma or fibrosarcoma, is the most common STS in adults. This STS arises from histiocytic and fibroblastic cells or directly from more primitive mesenchymal cells.50,51 This aggressive tumor typically occurs in the deep fascia and skeletal muscles of the extremities, most commonly occurring in the thigh or retroperitoneum. Of the 5 histologic types of MFH, storiform-pleomorphic type is the most common subtype (50%–60%). It is composed of spindle cells (fibroblastic-like) and round cells (histiocytic-like) arranged in a storiform pattern with intervening inflammatory cells.52 Similar to liposarcomas, MFH is treated with surgical resection with or without adjuvant treatment.53–59 However, MFH is considered a higher grade sarcoma and frequently metastasizes, leading to a poorer prognosis with an overall 5-year survival of about 14%.52
Diagnosing MFH can be difficult because neither the clinical features nor its gross appearance distinguishes this tumor from the other subtypes of STS. With 25% of MFH tumors demonstrating a highly myxoid composition, the tumor may mimic myxoid liposarcoma.52 Though few studies describe MFH explicitly, this subtype has been included in other studies of malignant STS, demonstrating that it is also hypermetabolic.60,61 Unlike MFH of the torso, only few reports exist describing MFH in extremities; the limited available publications describe MFH and other STSs as hypermetabolic masses.60,61 The study of Kern and colleagues,8 among the first studies showing the value of FDG-PET in STSs, established that FDG-PET is among the most useful tools for STS metabolic evaluation. Since then, studies have been done that applied FDG-PET for grading,13,17,19,62–67 staging, assessment of response to treatment,31–33,60,68–72 and surgical planning of STSs. Hoshi and colleagues,60 in an analysis of 113 subjects with STSs, including MFH, demonstrated that an SUVmax greater than or equal to 2 (Fig. 2) and a tumor size greater than or equal to 5 cm (Fig. 3) would infer a worse prognosis and would likely benefit from more aggressive therapy. Again, this generalized knowledge can be helpful in the management of MFH; however, more research specifically directed toward MFH and FDG PET-CT use is necessary.
Fig. 2.

A 72-year-old woman presented with a growing left leg fungating mass. MR imaging demonstrated a 2.3 cm heterogeneous T1 hyposignal (A), Proton Density (PD) intermediate (B), and STIR hypersignal (C) intensity lesion with heterogeneous postcontrast enhancement (D) compared with precontrast imaging (E). The lesion was highly hypermetabolic on PET (F) with an SUVmax of 12.7. The CT component of PET demonstrates a nonspecific fungating soft tissue density mass (G). The lesion was pathologically diagnosed as MFH or pleomorphic undifferentiated sarcoma (PUS).
Fig. 3.

MFH or PUS: multilobulated T1 intermediate signal intensity mass with areas of hyperintensity suggestive of internal hemorrhage (A, B), centered in the subcutaneous adipose tissues of the left anterolateral thigh, measuring approximately 18.1 by 9.9 by 11.4 cm, with areas of central T1 hyperintensity, which do not suppress on the fat-saturated sequences, likely representing areas of necrosis and hemorrhage. The mass abuts a short segment of the rectus femoris muscle and anterior aspect of the vastus lateralis muscle with no evidence of neurovascular involvement. The lesion demonstrates heterogeneous postcontrast enhancement (C, D). There is no evidence of bone invasion to the underlying osseous structures on radiograph (E). On ultrasound, the lesion is heterogeneous in echogenicity with mild internal vascularity (F, G). On PET-CT, the lesion is heterogeneously hypermetabolic with an SUVmax of 14.3 (H, I).
Rhabdomyosarcoma
Rhabdomyosarcoma is the most common STS in children and adolescents. It arises from mesenchymal cells during skeletal muscle differentiation.73–75 The most common anatomic locations for rhabdomyosarcoma are the head and neck, genitourinary tract, and limbs. Histologically, the embryonal form is the most common subtype. The embryonal form accounts for about 57% of all childhood rhabdomyosarcoma versus about 23% and 20% for the alveolar form and all other types of this sarcoma, respectively. The treatment most often includes surgical removal of the tumor with accompanying systemic chemotherapy followed by local radiotherapy.73 The therapeutic management almost completely depends on initial staging, highlighting the need for a reliable tool for accurate evaluation of the tumor.
Ricard and colleagues21 concluded that FDG PET-CT is a useful method for staging and restaging of pediatric rhabdomyosarcoma with particular emphasis on the detection of lymph node and bone involvement.21 Multiple studies have also demonstrated the utility of FDG PET-CT in the detection and evaluation of primary lesions with a higher sensitivity (95%–100%) and specificity (80%–100%) than that achieved by conventional imaging (17%–83% and 43%–100%, respectively).20,21,76–80 For nonpulmonary and distal lymph node involvement, FDG PET-CT has shown a higher sensitivity with the same specificity compared with conventional imaging tools. In many of these studies, a greater total number of lymph nodes were detected using FDG PET-CT. In their 41 subject study of rhabdomyosarcoma, Baum and colleagues21,77–83 noted that nodal involvement, primary tumoral metabolic activity, and other metastatic site involvements are the major determinants of patient survival in rhabdomyosarcoma. Concerning treatment response, Eugene and colleagues26,77–80,82 demonstrated FDG PET-CT has a greater ability to detect complete response compared with conventional imaging. However, similar to other STSs, the major limitation of FDG PET-CT in rhabdomyosarcoma is related to the evaluation of pulmonary metastases.77,79
Angiosarcoma
Angiosarcoma is an uncommon malignant tumor of vascular and lymphatic endothelial origin, accounting for less than 5% of all STSs.84 Most often appearing in thighs and retroperitoneum, angiosarcomas can occur anywhere in the extremities, trunk, and head and neck regions.85 Clinically, an angiosarcoma often presents as an enlarging, painful mass frequently associated with a vascular disorder such as anemia or a coagulopathy. They are aggressive tumors that tend to reoccur and metastasize widely. Prognosis is poor, as demonstrated in a case series study of 49 subjects that showed a 53% median survival at 11 months.84 Epithelioid angiosarcoma is the most common subtype of angiosarcoma. Similar to other STSs, wide excisional resection remains the treatment of choice, with the addition of chemotherapy and radiotherapy if complete resection is not possible. Early diagnosis is of great importance in providing the greatest chance of total tumor resection.
There are only a few case reports in literature regarding the usefulness of FDG PET-CT in the management of angiosarcoma, primarily due to its low incidence; however, FDG PET-CT has provided some reliability in the early detection of distant metastases, staging, and its prognostication of disease.86–92 Benign vascular lesions, such as hemangiomas and hemangioendotheliomas, demonstrate significantly lower FDG avidity compared with angiosarcoma, allowing distinguishability.93–95 In a study by Lee and colleagues,93 FDG uptake levels, as expressed by SUVmax, were able to effectively predict the prognosis of subjects with vascular tumors. Their study showed a significant reduction in survival with an SUVmax greater than or equal to 3 g/mL.93 Clearly, much more research is needed to examine the value of FDG PET-CT in this setting.
Synovial Cell Sarcoma
Synovial cell sarcoma is the third most common STS, accounting for 6% to 10% of STSs. Synovial cell sarcoma occurs primarily in the extremities of young adults with a predilection for the periarticular regions, with the popliteal area being most common. However, rarely, synovial cell sarcoma may involve the trunk, near the joints (Fig. 4). Clinically, they present as slow growing and often painless masses. Like most STSs, synovial cell sarcoma metastasizes to the lungs.96,97 Although, local surgical excision and radiotherapy give excellent local control of the tumor, it is a metastatic disease that is more difficult to treat.
Fig. 4.

A 61-year-old woman presented with a 10.4 cm soft tissue density mass within the right upper lobe, which abuts the pleural, pericardial, and mediastinal surfaces (A, B). The lesion is hypermetabolic on PET-CT with an SUVmax of 17.7 (C–E), the biopsy of which confirmed synovial cell carcinoma of the chest wall.
MR imaging is the primary imaging modality for diagnosis and initial tumor staging, with CT scan useful for detection of distant disease.98 There are very few studies that have evaluated FDG PET-CT in synovial cell sarcomas. Rayamajhi and colleagues99 demonstrated that FDG PET-CT is a useful method for staging and restaging of patients with synovial cell sarcoma. Other studies suggested that a pretherapy SUVmax could be used for prediction of survival and pathologic response to neoadjuvant therapy.100 It was shown that an SUV greater than 4.35 g/mL is associated with shorter progression-free survival and increased risk for developing recurrence or metastases of synovial sarcoma.100 General STS studies that included synovial cell sarcoma have demonstrated an ability to distinguish low-grade from high-grade sarcomas with 80% sensitivity.101,102
Malignant Peripheral Nerve Sheath Tumors
MPNSTs are a rare group of STSs that account for 5% to 10% of all STSs with an expected incidence of 0.1 out of 100,000 per year in the general population.103 MPNSTs are of ectomesenchymal origin, deriving from Schwann cells or pluripotent cells of the neural crest and they arise along peripheral nerve branches or their sheaths.
About 25% to 50% of observed MPNSTs present in patients with neurofibromatosis (NF)-1, and 2% to 29% of patients with plexiform NF will develop MPNST,6,7 whereas the total lifetime prevalence of MPNST in NF1 is only 10%.104,105 These high numbers, along with the poor prognosis associated with MPNST, stress the need for early detection. Detection of the malignant transformation of plexiform NF to MPNST is difficult using clinical history and conventional CT and MR imaging alone. Clinical symptoms, such as an enlarging, painful mass, are nonspecific and unreliable. Similar to other STSs, the blind tissue sampling of a small portion of the heterogeneous tumor cannot reliably determine an entire tumor’s biological behavior because a higher grade component may have been missed. Additionally, excisional biopsies may not be feasible due to the high resultant morbidity from the involvement of the adjacent structures. Luckily, FDG PET-CT has shown the ability to detect malignant transformation in the patients with NF1, offering a promising tool for surveillance.3,105–108 Ferner and colleagues108 reported a significant difference between the SUVmax of malignant and benign lesions using an SUVmax cutoff of 2.5 g/mL for NF1 subjects 200 minutes following FDG injection (Fig. 5). Additional potential metrics for the assessment of malignant transformation to MPNST and tumor burden are total lesion glycolysis and total metabolic tumor volume.101 One study even used a combination of FDG PET-CT and 11C-Methionine to demonstrate an even greater sensitivity and specificity.109
Fig. 5.

Malignant nerve sheath tumor: A 70-year-old woman presented with low back pain. MR imaging of lumbar spine incidentally found a 4.7 by 4.4 by 4.8 cm lobular, well-defined heterogeneous T1 hyposignal (A, B), T2 intermediate to hypersignal (C), and STIR hypersignal intensity (D) mass centered at the left sacrum vertebra (S1) foramen, containing foci of central necrosis. On further postcontrast imaging, the lesion shows heterogeneous enhancement (E, F). The lesion underwent CT-guided biopsy with which osseous erosion with extension of the mass into the left S1 vertebral body and the left aspect of the sacral spinal canal was identified (G). PET-CT showed an intensely FDG avid lesion centered at left S1 foramen with an SUVmax of 8.9 (H–K).
Despite its ability to detect malignant transformation from NF to MPNST, FDG PET-CT is unable to differentiate schwannomas from malignant sarcomas. Schwannomas are benign and often solitary peripheral nerve sheath tumors unassociated with NF1 and can present with a wide range of FDG uptake values. It is for these reasons that FDG PET-CT must be used with caution in distinguishing MPNSTs and other tumors from schwannomas.110,111
SUMMARY
FDG-PET-CT offers important complementary information that can be used in the diagnosis, staging, restaging, treatment response monitoring, and prognostication of STSs. Additional research is needed to strengthen the current evidence and to further elaborate on the application of FDG PET-CT, particularly for rare subtypes of STS.
KEY POINTS.
A soft tissue sarcoma (STS) is relatively rare. (18) Fluorine-2-fluoro-2-deoxy-d-glucose (FDG) PET–computed tomography (CT) offers complementary information in the management of an STS.
Additional research is needed to strengthen the current evidence and to elaborate on the application of FDG PET-CT, particularly for rare subtypes of STS.
Though FDG PET-CT cannot replace direct tissue sampling, it can significantly enhance the biopsy diagnostic yield by targeting the hypermetabolic part of lesion.
FDG PET-CT can be used to detect malignant transformation of a benign lesion into an aggressive lesion.
Because classic size-based assessment of treatment response is inadequate, metabolic FDG PET data is valuable in posttreatment evaluation of cancer, including STS.
REFERENCES
- 1.Burningham Z, Hashibe M, Spector L, et al. The epidemiology of sarcoma. Clin Sarcoma Res 2012;2:14. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Weitz J, Antonescu CR, Brennan MF. Localized extremity soft tissue sarcoma: improved knowledge with unchanged survival over time. J Clin Oncol 2003;21:2719–25. [DOI] [PubMed] [Google Scholar]
- 3.Rodrigues-Alfonso B, Mucientes Rasilla J, Casanovas M, et al. 18F-FDG PET in STS; when to image? Rev Esp Med Nucl Imagen Mol 2014; 33(1):43–9. [DOI] [PubMed] [Google Scholar]
- 4.American Cancer Society. Cancer facts and figures 2015. Available at: http://www.cancer.org/cancer/sarcoma-adultsofttissuecancer/detailedguide/sarcoma-adult-soft-tissue-cancer-key-statistics. Accessed June 2, 2015.
- 5.Early JF, Conrad EU. Imaging in sarcoma. J Nucl Med 2011;52:1903–13. [DOI] [PubMed] [Google Scholar]
- 6.Sorensen SA, Mulvihill JJ, Nielsen A. Long-term follow up of von Recklinghausen neurofibromatosis. N Engl J Med 1986;314:1010–5. [DOI] [PubMed] [Google Scholar]
- 7.D’Agostino AN, Soule EH, Miller RH. Sarcomas of the peripheral nerves and somatic soft tissue associated with multiple neurofibromatosis (von Recklinghausen’s disease). Cancer 1963;16: 1015–27. [DOI] [PubMed] [Google Scholar]
- 8.Kern KA, Brunetti A, Norton JA, et al. Metabolic imaging of human extremity musculoskeletal tumors by PET. J Nucl Med 1988;29:181–6. [PubMed] [Google Scholar]
- 9.Schulte M, Brecht-Krauss D, Heymer B, et al. Grading of tumors and tumorlike lesions of bone: evaluation by FDG PET. J Nucl Med 2000;41: 1695–701. [PubMed] [Google Scholar]
- 10.Schulte M, Brecht-Krauss D, Heymer B, et al. Fluorodeoxyglucose positron emission tomography of soft tissue tumours: is a non-invasive determination of biological activity possible? Eur J Nucl Med 1999;26:599–605. [DOI] [PubMed] [Google Scholar]
- 11.Cobben DC, Elsinga PH, Suurmeijer AJ, et al. Detection and grading of soft tissue sarcomas of the extremities with (18) F-30 -fluoro-30 -deoxy-L-thymidine. Clin Cancer Res 2004;10:1685–90. [DOI] [PubMed] [Google Scholar]
- 12.Benz MR, Dry SM, Eilber FC, et al. Correlation between glycolytic phenotype and tumor grade in soft-tissue sarcomas by 18F-FDG PET. J Nucl Med 2010;51:1174–81. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Ioannidis JP, Lau J. 18F-FDG PET for diagnosis and grading of soft tissue sarcoma: a meta-analysis. J Nucl Med 2003;37(2):257–61. [PubMed] [Google Scholar]
- 14.Shwarzbach MH, Dimirakopoulou-Strauss A, Willeke F, et al. Clinical value of [18-F] Fluorodeoxyglucose positron emission tomography imaging in soft tissue sarcoma. Ann Surg 2000;231(3):380–6. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Nieweg OE, Pruim J, Van Ginkel RJ, et al. Fluorodeoxyglucose PET imaging of soft tissue sarcoma. J Nucl Med 1996;37(2):2257–61. [PubMed] [Google Scholar]
- 16.Bastiannet E, Groen H, Jager PL, et al. The value of FDG-PET in the detection, grading and response to therapy of soft tissue sarcoma and bone sarcomas; a systematic review and meta-analysis. Cancer Treat Rev 2004;30(1):83–101. [DOI] [PubMed] [Google Scholar]
- 17.Lodge MA, Lucas JD, Marsden MPK, et al. A PET study of 18FDG uptake in soft tissue masses. Eur J Nucl Med 1999;26(1):22–30. [DOI] [PubMed] [Google Scholar]
- 18.Dancheva Z, Bochev P, Chaushev B, et al. Dual-time point imaging 18FDG-PET/CT imaging may be useful in assessing local recurrent disease in high grade bone and soft tissue sarcoma. Nucl Med Rev Cent East Eur 2016;19(1):22–7. [DOI] [PubMed] [Google Scholar]
- 19.Lucas JD, O’Dohetry MJ, Wong JC, et al. Evaluation of Fluorodeoxyglucose positron emission tomography in the management of soft tissue sarcomas. J Bone Joint Surg Br 1998;80(3):441–7. [DOI] [PubMed] [Google Scholar]
- 20.Volker T, Denecke T, Steffen I, et al. Positron emission tomography for staging of pediatric sarcoma patients: results of a prospective multicenter trial. J Clin Oncol 2007;25:5435–41. [DOI] [PubMed] [Google Scholar]
- 21.Ricard F, Cimarelli S, Deshayes E, et al. Additional benefit of F-18 FDG PET/CT in the staging and follow-up of pediatric rhabdomyosarcoma. Clin Nucl Med 2011;36:672–7. [DOI] [PubMed] [Google Scholar]
- 22.Fortes DL, Allen MS, Lowe VJ, et al. The sensitivity of 18F-fluorodeoxyglucose positron emission tomography in the evaluation of metastatic pulmonary nodules. Eur J Cardiothorac Surg 2008;34:1223–7. [DOI] [PubMed] [Google Scholar]
- 23.Fuglo HM, Jorgensen SM, Loft A, et al. The diagnostic and prognostic value of 18F-FDG PET/CT in the initial assessment of high-grade bone and soft tissue sarcoma. A retrospective study of 89 patients. Eur J Nucl Med Mol Imaging 2012;39:1416–24. [DOI] [PubMed] [Google Scholar]
- 24.Yang HL, Liu T, Wang XM, et al. Diagnosis of bone metastases: a meta-analysis comparing 18FDG PET, CT, MRI and bone scintigraphy. Eur Radiol 2011;21:2604–17. [DOI] [PubMed] [Google Scholar]
- 25.Roberge D, Vakilian S, Alabed YZ, et al. FDG PET/CT in initial staging of adult soft-tissue sarcoma. Sarcoma 2012;2012:960194. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Eugene T, Corradini N, Carlier T, et al. 18F-FDG–PET/CT in initial staging and assessment of early response to chemotherapy of pediatric rhabdomyosarcomas. Nucl Med Commun 2012;33:1089–95. [DOI] [PubMed] [Google Scholar]
- 27.Kole AC, Nieweg OE, van Ginkel RJ, et al. Detection of local recurrence of soft-tissue sarcoma with positron emission tomography using [18F] fluorodeoxyglucose. Ann Surg Oncol 1997;4(1):57–63. [DOI] [PubMed] [Google Scholar]
- 28.Al-Ibraheem A, Buck AK, Benz MR, et al. (18) F-fluorodeoxyglucose positron emission tomography/computed tomography for the detection of recurrent bone and soft tissue sarcoma. Cancer 2013; 119:1227–34. [DOI] [PubMed] [Google Scholar]
- 29.Franzius C, Daldrup-Link HE, Wagner-Bohn A, et al. FDG-PET for detection of recurrences from malignant primary bone tumors: comparison with conventional imaging. Ann Oncol 2002;13:157–60. [DOI] [PubMed] [Google Scholar]
- 30.Fendler WP, Chalkidis RP, Ilhan H, et al. Evaluation of several FDG PET parameters for prediction of soft tissue tumour grade at primary diagnosis and recurrence. Eur Radiol 2015;25:2214–21. [DOI] [PubMed] [Google Scholar]
- 31.Evilevitch V, Weber WA, Tap WD, et al. Reduction of glucose metabolic activity is more accurate than change in size at predicting histopathologic response to neoadjuvant therapy in high-grade soft tissue sarcomas. Clin Cancer Res 2008;14(3): 715–8. [DOI] [PubMed] [Google Scholar]
- 32.Schuetze SM, Rubin BP, Vernon C, et al. Use of positron emission tomography in localized extremity soft tissue sarcoma treated with neoadjuvant chemotherapy. Cancer 2005;103:339–48. [DOI] [PubMed] [Google Scholar]
- 33.Benz MR, Czernin J, Allen-Auerbach MS, et al. FDG-PET/CT imaging predicts histopathologic treatment responses after the initial cycle of neoadjuvant chemotherapy in high-grade soft-tissue sarcomas. Clin Cancer Res 2009;15:2856–63. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Eary JF, Conrad EU, O’Sullivan J, et al. Sarcoma mid-therapy [F-18] fluorodeoxyglucose positron emission tomography (FDG PET) and patient outcome. J Bone Joint Surg Am 2014;96:152–8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Baffle A, Zugaro L, Catalucci A, et al. Soft tissue liposarcoma: histological subtypes, MRI and CT findings. Radiol Med 2002;104:140–9. [PubMed] [Google Scholar]
- 36.Kudo H, Inaoka T, Tokuyama W, et al. Round cell liposarcoma arising left foot. Jpn J Radiol 2012; 30(10):852–7. [DOI] [PubMed] [Google Scholar]
- 37.Enzinger FM, Weiss SW. Liposarcoma In: Glodblum JR, Weiss SW, Folpe AL, editors. Soft tissue tumors. 5th edition St Louis (MO): Mosby; 2008. p. 477–516. [Google Scholar]
- 38.Murphey MD, Arcara LK, Fanburg-Smith J. Imaging of musculoskeletal liposarcoma with radiologic–pathologic correlation. Radiographics 2005;25:1371–95. [DOI] [PubMed] [Google Scholar]
- 39.Haniball J, Sumathi VP, Kindblom LG, et al. Prognostic factors and metastatic patterns in primary myxoid/round-cell liposarcoma. Sarcoma 2011; 2011:538085. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.Antonescu CR, Tschernyavsky SJ, Decuseara R, et al. Prognostic impact of P53 status, TLS-CHOP fusion transcript structure, and histological grade in myxoid liposarcoma: a molecular and clinic-pathologic study of 82 cases. Clin Cancer Res 2001;7(12):3977–87. [PubMed] [Google Scholar]
- 41.Nishida Y, Tsukushi S, Nakashima H, et al. Clinico-pathologic prognostic factors of pure myxoid liposarcoma of the extremities and trunk wall. Clin Orthop Relat Res 2010;468(11):3041–6. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42.Matsubara T, Kusuzaki K, Matsumine A, et al. Can a less radical surgery using photodynamic therapy with acridine orange be equal to a wide-margin resection? Clin Orthop Relat Res 2013;471(3):792–802. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43.Kransdorf MJ, Bancroft LW, Peterson JJ, et al. Imaging of fatty tumors: distinction of lipoma and well-differentiated liposarcoma. Radiology 2002; 224:99–104. [DOI] [PubMed] [Google Scholar]
- 44.Suzuki R, Watanabe H, Yanagava T, et al. PET evaluation of fatty tumors in the extremity: possibility of using the standardized uptake value (SUV) to differentiate benign tumors from liposarcoma. Ann Nucl Med 2005;19(8):661–70. [DOI] [PubMed] [Google Scholar]
- 45.Brenner W, Eary JF, Hwang W, et al. Risk assessment in liposarcoma patients based on FDG PET imaging. Eur J Nucl Med Mol Imaging 2006;33:1290–5. [DOI] [PubMed] [Google Scholar]
- 46.Schwarzbach MH, Dimitrakopoulou-Strauss A, Mechtersheimer G, et al. Assessment of soft tissue lesions suspicious for liposarcoma by F18-deoxyglucose (FDG) positron emission tomography (PET). Anticancer Res 2001;21(5):3609–14. [PubMed] [Google Scholar]
- 47.Tateishi U, Yamaguchi U, Seki K, et al. Bone and soft-tissue sarcoma: preoperative staging with fluorine 18 fluorodeoxyglucose PET/CT and conventional imaging. Radiology 2007;245:839–47. [DOI] [PubMed] [Google Scholar]
- 48.Conill C, Setoain X, Colomo L, et al. Diagnostic efficacy of bone scintigraphy, magnetic resonance imaging, and positron emission tomography in bone metastases of myxoid liposarcoma. J Magn Reson Imaging 2008;27(3):625–8. [DOI] [PubMed] [Google Scholar]
- 49.NCCN clinical practice guidelines in oncology. Soft tissue sarcoma. Version 3 2012. Available at: http://www.nccn.org/professionals/physician_gls/pdf/sarcoma.pdf. Accessed October 1, 2012.
- 50.Dei Tos AP. Classification of pleomorphic sarcomas: where are we now? Histopathology 2006; 48:51–62. [DOI] [PubMed] [Google Scholar]
- 51.Al-Agha OM, Igbokwe AA. Malignant fibrous histiocytoma: between the past and the present. Arch Pathol Lab Med 2008;132:1030–5. [DOI] [PubMed] [Google Scholar]
- 52.Weiss SW, Enzinger FM. Malignant fibrous histiocytoma: an analysis of 200 cases. Cancer 1978;41: 2250–66. [DOI] [PubMed] [Google Scholar]
- 53.Leite C, Goodwin JW, Sinkovics JG, et al. Chemotherapy of malignant fibrous histiocytoma: a southwest oncology group report. Cancer 1977;40: 2010–4. [DOI] [PubMed] [Google Scholar]
- 54.Kobayashi E, Kawai A, Seki K, et al. Bilateral adrenal gland metastasis from malignant fibrous histiocytoma: value of [F-18] FDG PET-CT for diagnosis of occult metastases. Ann Nucl Med 2006;20:695–8. [DOI] [PubMed] [Google Scholar]
- 55.Murakawa T, Nakajima J, Fukami T, et al. Malignant fibrous histiocytoma in the anterior mediastinum. Jpn J Thorac Cardiovasc Surg 2001;49:722–7. [DOI] [PubMed] [Google Scholar]
- 56.Noh HW, Park KJ, Sun JS, et al. Primary pulmonary malignant fibrous histiocytoma mimics pulmonary artery aneurysm with partial thrombosis: various radiologic evaluations. Eur Radiol 2008;18:1653–7. [DOI] [PubMed] [Google Scholar]
- 57.Hwang SS, Park SY, Park YH. The CTand 18-F FDG PET/CT appearance of primary renal malignant fibrous histiocytoma. J Med Imaging Radiat Oncol 2010;54:365–7. [DOI] [PubMed] [Google Scholar]
- 58.Ho L, Meka M, Gamble BK, et al. Left maxillary sinus malignant fibrous histiocytoma on FDG PET-CT. Clin Nucl Med 2009;34:967–8. [DOI] [PubMed] [Google Scholar]
- 59.Yoo RE, Choi SH, Park SH, et al. Primary intracerebral malignant fibrous histiocytoma: CT, MRI and PET-CT findings. J Neuroimaging 2013;23(1):141–4. [DOI] [PubMed] [Google Scholar]
- 60.Hoshi M, Oebisu N, Takada J, et al. Role of FDG-PET/CT for monitoring soft tissue tumors. Oncol Lett 2014;7(4):1243–8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 61.Jadvar H, Fishman AJ. Evaluation of rare tumors with [F-18] fludeoxyglucose positron emission tomography. Clin Positron Imaging 1999;2(3):153–8. [DOI] [PubMed] [Google Scholar]
- 62.Adler LP, Blair HF, Williams RP, et al. Grading liposarcoma with PET using [18F] FDG. J Comput Assist Tomogr 1990;14(6):960–2. [DOI] [PubMed] [Google Scholar]
- 63.Eary JF, Conrad EU, Bruckner JD, et al. Quantitative [F-18] fluorodeoxyglucose positron emission tomography in pretreatment and grading of sarcoma. Clin Cancer Res 1998;4:1215–20. [PubMed] [Google Scholar]
- 64.Warbey VS, Ferner RE, Dunn JT, et al. [(18) F] FDG PET/CT in the diagnosis of malignant peripheral nerve sheath tumours in neurofibromatosis type-1. Eur J Nucl Med Mol Imaging 2009;36:751–7. [DOI] [PubMed] [Google Scholar]
- 65.Griffeth LK, Dehdashti F, McGuire AH, et al. PET evaluation of soft-tissue masses with fluorine-18 fluoro-2-deoxy-D-gtucose. Radiology 1992;182: 185–94. [DOI] [PubMed] [Google Scholar]
- 66.Watanabe H, Shinozaki T, Yanagawa T, et al. Glucose metabolic analysis of musculoskeletal tumors using fluorine-I 8-FDG PETas an aid to preoperative planning. J Bone Joint Surg Br 2000;82-B: 760–7. [DOI] [PubMed] [Google Scholar]
- 67.Kole AC, Nieweg OE, Hoekstra HJ, et al. Fluorine-18-fluorodeoxyglucose assessment of glucose metabolism in bone tumors. J Nucl Med 1998; 39(5):810–5. [PubMed] [Google Scholar]
- 68.Tewfik JN, Greene GS. Fluorine-18-deoxyglucose–positron emission tomography imaging with magnetic resonance and computed tomographic correlation in the evaluation of bone and soft-tissue sarcomas: a pictorial essay. Curr Probl Diagn Radiol 2008;37(4):178–88. [DOI] [PubMed] [Google Scholar]
- 69.Tateishi U, Kawai A, Chuman H, et al. PET/CT allows stratification of responders to neoadjuvant chemotherapy for high-grade sarcoma: a prospective study. Clin Nucl Med 2011;36:526–32. [DOI] [PubMed] [Google Scholar]
- 70.Aoki J, Endo K, Watanabe H, et al. FDG-PET for evaluating musculoskeletal tumors: a review. J Orthop Sci 2003;8:435–41. [DOI] [PubMed] [Google Scholar]
- 71.Jones DN, McCowage GB, Sostman HD, et al. Monitoring of neoadjuvant therapy response of soft-tissue and musculoskeletal sarcoma using fluorine- 18-FDG PET. J Nucl Med 1996;37(9): 1438–44. [PubMed] [Google Scholar]
- 72.Charest M, Hickeson M, Lisbona R, et al. FDG PET/CT imaging in primary osseous and soft tissue sarcomas: a retrospective review of 212 cases. Eur J Nucl Med Mol Imaging 2009; 36(12):1944–51. [DOI] [PubMed] [Google Scholar]
- 73.Dagher R, Helman L. Rhabdomyosarcoma: an overview. Oncologist 1999;4:34–44. [PubMed] [Google Scholar]
- 74.Ries LAG, Smith MA, Gurney JG, et al. , editors. Cancer incidence and survival among children and adolescents: United States SEER Program 1975–1995. NIH Pub. No. 99–4649. Bethesda (MD): National Cancer Institute; 1999. [Google Scholar]
- 75.Hayes-Jordan A, Andrassy R. Rhabdomyosarcoma in children. Curr Opin Pediatr 2009;21:373–8. [DOI] [PubMed] [Google Scholar]
- 76.Klem ML, Grewal RK, Wexler LH, et al. PET for staging in rhabdomyosarcoma: an evaluation of PET as an adjunct to current staging tools. J Pediatr Hematol Oncol 2007;29:9–14. [DOI] [PubMed] [Google Scholar]
- 77.Dharmarajan KV, Wexler LH, Gavane S, et al. Positron emission tomography (PET) evaluation after initial chemotherapy and radiation therapy predicts local control in rhabdomyosarcoma. Int J Radiat Oncol Biol Phys 2012;84: 996–1002. [DOI] [PubMed] [Google Scholar]
- 78.Federico SM, Wu J, Spunt SL, et al. Comparison of PET–CT and conventional imaging in staging pediatric rhabdomyosarcoma. Pediatr Blood Cancer 2012;60:1128–34. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 79.Tateishi U, Hosono A, Makimoto A, et al. Comparative study of FDG PET/CT and conventional imaging in the staging of rhabdomyosarcoma. Ann Nucl Med 2009;23:155–61. [DOI] [PubMed] [Google Scholar]
- 80.Baum SH, Fruhwald M, Rahbar K, et al. Contribution of PET/CT to prediction of outcome in children and young adults with rhabdomyosarcoma. J Nucl Med 2011;52:1535–40. [DOI] [PubMed] [Google Scholar]
- 81.Krasin M, Hua C, Spunt SL, et al. FDG-PET/CT prior or subsequent to radiation is a poor predictor of local outcome in patients with group III rhabdomyosarcoma. Int J Radiat Oncol Biol Phys 2011; 1:S116. [Google Scholar]
- 82.Quartuccio N, Treglia G, Salsano M, et al. The role of fluorine-18- fluorodeoxyglucose positron emission tomography in staging and restaging of patients with osteosarcoma. Radiol Oncol 2013;47: 97–102. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 83.Barger RL, Nandalur KR. Diagnostic performance of dual-time 18F-FDG PET in the diagnosis of pulmonary nodules: a meta-analysis. Acad Radiol 2012;19:153–8. [DOI] [PubMed] [Google Scholar]
- 84.Meis-Kindblom JM, Kindblom LG. Angiosarcoma of soft tissue: a study of 80 cases. Am J Surg Pathol 1998;22(6):683–97. [DOI] [PubMed] [Google Scholar]
- 85.Fedok FG, Levin RJ, Maloney ME, et al. Angiosarcoma: current review. Am J Otolaryngol 1999; 20(4):223–31. [DOI] [PubMed] [Google Scholar]
- 86.Hori Y, Funabashi N, Miyauchi H, et al. Angiosarcoma in the right atria demonstrated by fusion images of multislice computed tomography and positron emission tomography using F-18 fluoro-deoxyglucose. Int J Cardiol 2007;123(1): 15–7. [DOI] [PubMed] [Google Scholar]
- 87.Watanabe S, Yano F, Kita T, et al. 18F-FDG-PET/CT as an indicator for resection of pulmonary epithelioid hemangioendothelioma. Ann Nucl Med 2008; 22:521–4. [DOI] [PubMed] [Google Scholar]
- 88.Freudenberg LS, Rosenbaum SJ, Schulte-Herbrüggen J, et al. Diagnosis of a cardiac angiosarcoma by fluorine-18 fluorodeoxyglucose positron emission tomography. Eur Radiol 2002;12(3): 158–61. [DOI] [PubMed] [Google Scholar]
- 89.Oe A, Habu D, Kawabe J, et al. A case of diffuse hepatic angiosarcoma diagnosed by FDG-PET. Ann Nucl Med 2005;19(6):519–21. [DOI] [PubMed] [Google Scholar]
- 90.Lin E Diagnosis of venous angiosarcoma by FDG PET/CT. Clin Nucl Med 2008;33(1):66–7. [DOI] [PubMed] [Google Scholar]
- 91.Tokmak E,Özkan E, Yağcı S, et al. F18-FDG PET/CT scanning in angiosarcoma: report of two cases. Mol Imaging Radionucl Ther 2011;20(2): 63–6. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 92.Vasanawala MS, Wang Y, Quon A, et al. F-18 fluorodeoxyglucose PET/CT as an imaging tool for staging and restaging cutaneous angiosarcoma of the scalp. Clin Nucl Med 2006;31(9): 534–7. [DOI] [PubMed] [Google Scholar]
- 93.Lee WW, So Y, Kang SY, et al. F-18 fluorodeoxyglucose positron emission tomography for differential diagnosis and prognosis prediction of vascular tumors. Oncol Lett 2017;14(1):665–72. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 94.Rest CC, Botton E, Robinet G, et al. FDG PET in epithelioid hemangioendothelioma. Clin Nucl Med 2004;29:789–92. [DOI] [PubMed] [Google Scholar]
- 95.Jadhav R, Gupta K, Prasad R, et al. Case based pictorial review of FDG PET CT imaging in angiosarcoma. J Nucl Med 2017;58(Suppl 1):1000. [Google Scholar]
- 96.Chang KJ, Lim I, Park JY, et al. The role of 18F-FDG PET/CTas a prognostic factor in patients with synovial sarcoma. Nucl Med Mol Imaging 2015;49(1): 33–41. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 97.Bakri A, Shinagare AB, Krajewski KM, et al. Synovial sarcoma: imaging features of common and uncommon primary sites, metastatic patterns, and treatment response. AJR Am J Roentgenol 2012; 199(2):208–15. [DOI] [PubMed] [Google Scholar]
- 98.Kransdorf MJ, Murrphy MD. Radiologic evaluation of soft-tissue masses: a current perspective. AJR Am J Roentgenol 2000;175(3):575–87. [DOI] [PubMed] [Google Scholar]
- 99.Rayamajhi S, Reddy A, Agrawl K, et al. Utility of F-18 FDG PET/CT in synovial cell sarcoma. J Nucl Med 2015;56(Suppl 3):37. [Google Scholar]
- 100.Lisle JW, Early JF, O’Sullivan J, et al. Risk assessment based on FDG-PET imaging in patients with synovial sarcoma. Clin Orthop Relat Res 2009; 467(6):1605–11. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 101.Van Der Guucht A, Zehou O, Djelbani-Ahmad S, et al. Metabolic tumor burden measured by FDG PET/CT predicts malignant transformation in patients with neurofibromatosis typer-1. PLoS One 2016;11(3):e0151809. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 102.Cardona S, Schwarzbach M, Hinz U, et al. Evaluation of FDG to assess the nature of neurogenic tumors. Eur J Surg Oncol 2003;29:536–41. [DOI] [PubMed] [Google Scholar]
- 103.Enzinger FM, Weiss SW. Malignant tumours of peripheral nerves In: Enzinger FM, Weiss SW, editors. Soft tissue tumors. Elsevier Health Sciences; :2001; 31: p. 1209–63. [Google Scholar]
- 104.Anghileri M, Miceli R, Fiore M, et al. Malignant peripheral nerve sheath tumors: prognostic factors and survival in a series of patients treated at a single institution. Cancer 2006;107:1065–74. [DOI] [PubMed] [Google Scholar]
- 105.Brenner W, Friedrich RE, Gawad KA, et al. Prognostic relevance of FDG PET in patients with neurofibromatosis type-1 and malignant peripheral nerve sheath tumours. Eur J Nucl Med Mol Imaging 2006; 33:428–32. [DOI] [PubMed] [Google Scholar]
- 106.Khiewvan B, Macapinlac HA, Lev D, et al. The value of 18F-FDG PET/CT in the management of malignant peripheral nerve sheath tumors. Eur J Nucl Med Mol Imaging 2014;41:1756–66. [DOI] [PubMed] [Google Scholar]
- 107.Benz MR, Czernin J, Dry SM, et al. Quantitative F18-fluorodeoxyglucose positron emission tomography accurately characterizes peripheral nerve sheath tumors as malignant or benign. Cancer 2010;116:451–8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 108.Ferner RE, Golding JF, Smith M, et al. [18F]2-fluoro-2-deoxy-D-glucose positron emission tomography (FDG PET) as a diagnostic tool for neurofibromatosis 1 (NF1) associated malignant peripheral nerve sheath tumours (MPNSTs): a long-term clinical study. Ann Oncol 2008;19: 390–4. [DOI] [PubMed] [Google Scholar]
- 109.Bredella MA, Torriani M, Hornicek F, et al. Value of PET in the assessment of patients with neurofibromatosis type 1. AJR Am J Roentgenol 2007;189(4):928–35. [DOI] [PubMed] [Google Scholar]
- 110.Ahmed AR, Watanabe H, Aoki J, et al. Schwannoma of the extremities. Eur J Nucl Med 2001; 28(10):1541–51. [DOI] [PubMed] [Google Scholar]
- 111.Beaulieu S, Rubin B, Djang D, et al. Positron emission tomography of schwannoma: emphasizing its potential in preoperative planning. AJR Am J Roentgenol 2004;182(4):971–4. [DOI] [PubMed] [Google Scholar]
