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Chapter 18 - Sarcoma

from Part II - Oncologic applications

Published online by Cambridge University Press:  05 September 2012

Victor H. Gerbaudo
Affiliation:
Brigham and Women's Hospital, Harvard Medical School
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Summary

Sarcomas are solid malignant tumors arising from mesenchymal tissue with distinct clinical and pathological features. They constitute a diverse group of tumors with more than 50 different histological subtypes divided into two broad categories: sarcomas of soft tissues (including fat, muscles, nerves, blood vessels, and other connective tissues) and sarcomas of bones (1, 2). Several classification schemes for sarcoma exist. In general, classification is based on histology with tumors subdivided according to the presumed tissue of origin.

Sarcomas can occur anywhere in the body and at all ages in both men and women. The age of incidence depends, at least in part, on the type as well as the subtype. For example, osteosarcomas tend to develop in young adults while chondrosarcomas are more common in older patients. Sarcomas found within certain organs may be difficult to differentiate from other malignancies; therefore, the true incidence of sarcomas is likely underestimated (3). Collectively, sarcomas are believed to account for approximately 1% of all adult malignancies and 15% of all pediatric malignancies (1). While soft tissue sarcomas are overall more frequent in middle-aged and older adults than in children and young adults, some subtypes such as rhabdomyosarcoma and synovial sarcoma are more common in young patients. Indeed soft tissue sarcomas account for a large proportion of pediatric malignancies, i.e., 7–10%. The incidence of primary bone tumors is approximately one-fifth that of soft tissue sarcomas. However, primary bone tumors also represent a significant percentage of malignancies in patients under the age of 20. Sarcomas are an important cause of death in the 14–29 years age group (4). Even in adults, the number of years of life lost is substantial despite the very low incidence of the disease, because people are often affected during the prime of their life (3).

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Publisher: Cambridge University Press
Print publication year: 2012

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References

Demetri, GDAntonia, SBenjamin, RSNational Comprehensive Cancer Network Soft Tissue Sarcoma Panel. Soft tissue sarcomaJ Natl Compr Canc Netw 2010 8 630CrossRefGoogle ScholarPubMed
National Cancer Institute Fact Sheethttp://www.cancer.gov/cancertopics/factsheet/Sites-Types/soft-tissue-sarcoma
National Cancer Institute: a snapshot of sarcomahttp://www.cancer.gov/aboutnci/servingpeople/snapshots/sarcoma.pdf
Grimer, RJudson, IPeake, DSeddon, B.Guidelines for the management of soft tissue sarcomasSarcoma 2010Google ScholarPubMed
Coindre, J-MTerrier, PGouillou, LPredictive value of grade for metastasis development in the main histologic types of adult soft tissue sarcomas: a study of 1240 patients from the French Federation of Cancer Centers Sarcoma GroupCancer 2001 91 19143.0.CO;2-3>CrossRefGoogle ScholarPubMed
Fadul, DFayad, LAdvanced modalities for the imaging of sarcomaSurg Clin N Am 2008 88 521CrossRefGoogle ScholarPubMed
Adler, LPBlair, HFMakley, JTNoninvasive grading of musculoskeletal tumors using PETJ Nucl Med 1991 32 1508Google ScholarPubMed
Eary, JFConrad, EUBruckner, JDQuantitative [F-18]fluorodeoxyglucose positron emission tomography in pretreatment and grading of sarcomaClin Cancer Res 1998 4 1215Google ScholarPubMed
Folpe, ALLyles, RHSprouse, JT(F-18) fluorodeoxyglucose positron emission tomography as a predictor of pathologic grade and other prognostic variables in bone and soft tissue sarcomaClin Cancer Res 2000 6 1279Google ScholarPubMed
Schulte, MBrecht-Krauss, DHeymer, BGrading of tumors and tumor like lesions of bone: evaluation by FDG PETJ Nucl Med 2000 41 1695Google Scholar
Ioannidis, JPLau, J18F-FDG PET for the diagnosis and grading of soft-tissue sarcoma: a meta-analysisJ Nucl Med 2003 44 717Google ScholarPubMed
Feldman, Fvan Heertum, RSaxena, C18FDG-PET applications for cartilage neoplasmsSkeletal Radiol 2005 34 367CrossRefGoogle ScholarPubMed
Aoki, JWatanabe, HShinozaki, TFDG PET of primary benign and malignant bone tumors: standardized uptake value in 52 lesionsRadiology 2001 219 774CrossRefGoogle ScholarPubMed
Ducatman, BSScheithauer, BWPiepgras, DGMalignant peripheral nerve sheath tumors. A clinicopathologic study of 120 casesCancer 1986 57 20063.0.CO;2-6>CrossRefGoogle ScholarPubMed
McGaughran, JMHarris, DIDonnai, DA clinical study of type 1 neurofibromatosis in north west EnglandJ Med Genet 1999 36 197Google ScholarPubMed
Warbey, VSFerner, REDunn, JTCalonje, EO'Doherty, MJ[18F]FDG PET/CT in the diagnosis of malignant peripheral nerve sheath tumours in neurofibromatosis type-1Eur J Nucl Med Mol Imaging 2009 36 751CrossRefGoogle Scholar
Ferner, REGolding, JFSmith, M[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 studyAnn Oncol 2008 19 390CrossRefGoogle ScholarPubMed
Berrebi, OSteiner, CKeller, ARougemont, ALRatib, OF-18 fluorodeoxyglucose (FDG) PET in the diagnosis of malignant transformation of fibrous dysplasia in the pelvic bonesClin Nucl Med 2008 33 469CrossRefGoogle Scholar
Makis, WHickeson, MSpindle cell sarcoma degeneration of giant cell tumor of the knee, imaged with F-18 FDG PET-CT and Tc-99m MDP Bone ScanClin Nucl Med 2010 35 112CrossRefGoogle ScholarPubMed
Hain, SFO’Foherty, MJBingham, JChinyama, CSmith, MACan FDG PET be used to successfully direct preoperative biopsy of soft tissue tumors?Nucl Med Commun 2003 24 1130CrossRefGoogle Scholar
Volker, TDenecke, TSteffen, IPositron emission tomography for staging of pediatric sarcoma patients: results of a prospective multicenter trialJ Clin Oncol 2007 25 5435CrossRefGoogle ScholarPubMed
Franzius, CDaldrup-Link, HESciuk, JFDG-PET for detection of pulmonary metastases from malignant primary bone tumors: Comparison with spiral CTAnn Oncol 2001 12 479CrossRefGoogle ScholarPubMed
Franzius, CSciuk, JDaldrup-Link, HEFDG-PET for detection of osseous metastases from malignant primary bone tumours: comparison with bone scintigraphyEur J Nucl Med 2000 27 1305CrossRefGoogle ScholarPubMed
Schwab, JHBoland, PJAntonescu, CSpinal metastases from myxoid liposarcoma warrant screening with magnetic resonance imagingCancer 2007 110 1815CrossRefGoogle ScholarPubMed
Somer, EJRMarsden, PKBanatar, NAPET-MR image fusion in soft tissue sarcoma: accuracy, reliability and practicality of interactive point-based and automated mutual information techniquesEur J Nucl Med 2003 30 54CrossRefGoogle ScholarPubMed
Huvos, AGRosen, GMarcove, RCPrimary osteogenic sarcoma: pathologic aspects in 20 patients after treatment with chemotherapy en bloc resection, prosthetic bone replacementArch Pathol Lab Med 1977 101 14Google ScholarPubMed
Hawkins, DSSchuetze, SMButrynski, JE[F-18] Fluorodeoxyglucose positron emission tomography predicts outcome for Ewing's sarcoma family of tumorsJ Clin Oncol 2005 23 8828CrossRefGoogle Scholar
Evilevitch, VWeber, WATap, WDReduction of glucose metabolic activity is more accurate than change in size at predicting histopathologic response to neoadjuvant therapy in high-grade soft-tissue sarcomasClin Cancer Res 2008 14 715CrossRefGoogle ScholarPubMed
Benz, MRAllen-Auerbach, MSEilber, FCCombined assessment of metabolic and volumetric changes for assessment of tumor response in patients with soft-tissue sarcomasJ Nucl Med 2008 49 1579CrossRefGoogle ScholarPubMed
Hawkins, DSRajendran, JGConrad, EUEvaluation of chemotherapy response in pediatric bone sarcomas by [F-18]-fluorodeoxy-D-glucose positron emission tomographyCancer 2002 94 3277CrossRefGoogle Scholar
Benz, MRCzernin, JAllen-Auerbach, MSFDG-PET/CT imaging predicts histopathologic treatment responses after the initial cycle of neoadjuvant chemotherapy in high grade soft tissue sarcomasClin Cancer Res 2009 15 2856CrossRefGoogle ScholarPubMed
Schulte, MBrecht-Krauss, DWerner, MEvaluation of neoadjuvant therapy response of osteogenic sarcoma using FDG PETJ Nucl Med 1999 40 1637Google ScholarPubMed
Schuetze, SMRubin, BPVernon, CUse of positron emission tomography in localized extremity soft tissue sarcoma treated with neoadjuvant chemotherapyCancer 2005 103 339CrossRefGoogle ScholarPubMed
Stroobants, SGoeminne, JSeegers, M18FDG-Positron emission tomography for the early prediction of response in advanced soft tissue sarcoma treated with imatinib mesylate (Glivec)Eur J Cancer 2003 39 2012CrossRefGoogle Scholar
Young, HBaum, RCremerius, UMeasurement of clinical and subclinical tumor response using [F-18]-fluorodeoxyglucose and positron emission tomography: review and 1999 EORTC recommendationsEur J Cancer 1999 35 1773CrossRefGoogle Scholar
Costelloe, CMMacapinlac, HAMadewell, JE18F-FDG PET/CT as an indicator of progression-free and overall survival in osteosarcomaJ Nucl Med 2009 50 340CrossRefGoogle ScholarPubMed
Eary, JFO'Sullivan, FPowitan, YSarcoma tumor FDG uptake measured by PET and patient outcome: a retrospective analysisEur J Nucl Med 2002 29 1149CrossRefGoogle ScholarPubMed
Schwarzbach, MHHinz, UDimitrakopoulou-Strauss, APrognostic significance of preoperative [18-F] fluorodeoxyglucose (FDG) positron emission tomography (PET) imaging in patients with resectable soft tissue sarcomasAnn Surg 2005 241 286CrossRefGoogle ScholarPubMed
Lisle, JWEary, JFO'Sullivan, JConrad, EURisk assessment based on FDGPET imaging in patients with synovial sarcomaClin Orthop Relat Res 2009 467 1605CrossRefGoogle Scholar
Brenner, WFriedrich, REGawad, KAPrognostic relevance of FDG PET in patients with neurofibromatosis type-1 and malignant peripheral nerve sheath tumoursEur J Nucl Med Mol Imaging 2006 33 428CrossRefGoogle ScholarPubMed
Eary, JFO'Sullivan, FO'Sullivan, JConrad, EUSpatial heterogeneity in sarcoma 18F-FDG uptake as a predictor of patient outcomeJ Nucl Med 2008 49 1973CrossRefGoogle ScholarPubMed
Franzius, CDaldrup-Link, HEWagner-Bohn, AFDG-PET for detection of recurrences from malignant primary bone tumors: comparison with conventional imagingAnn Oncol 2002 13 157CrossRefGoogle ScholarPubMed
Johnson, GRZhuang, HKhan, JRoles of positron emission tomography with fluorine-18-deoxyglucose in the detection of local recurrent and distant metastatic sarcomaClin Nucl Med 2003 28 815CrossRefGoogle ScholarPubMed
Kole, ACNieweg, OEvan Ginkel, RJDetection of local recurrence of soft-tissue sarcoma with positron emission tomography using [18F]fluorodeoxyglucoseAnn Surg Oncol 1997 4 57CrossRefGoogle Scholar
Schwarzbach, MHDimitrakopoulou-Strauss, AWilleke, FClinical value of [18-F] fluorodeoxyglucose positron emission tomography imaging in soft tissue sarcomasAnn Surg 2000 231 380CrossRefGoogle Scholar
Arush, MWIsrael, OPostovsky, SPositron emission tomography/ computed tomography with 18fluoro-deoxyglucose in the detection of local recurrence and distant metastases of pediatric sarcomaPediatr Blood Cancer 2007 49 901CrossRefGoogle ScholarPubMed
Park, JYKim, ENKim, DYRole of PET or PET/CT in the posttherapy surveillance of uterine sarcomaGynecol Oncol 2008 109 255CrossRefGoogle ScholarPubMed
Shields, AFGrierson, JRDohmen, BMImaging proliferation in vivo with [F-18]FLT and positron emission tomographyNat Med 1998 4 1334CrossRefGoogle Scholar
Buck, AKHerrmann, KBuschenfelde, CMImaging bone and soft tissue tumors with the proliferation marker [18F]fluorodeoxythymidineClin Cancer Res 2008 14 2970CrossRefGoogle ScholarPubMed
Rasey, JSKoh, WJEvans, MLQuantifying regional hypoxia in human tumors with positron emission tomography of [F-18] fluoromisonidazole: a pre-therapy study of 37 patientsInt J Radiat Oncol Biol Phys 1996 36 417CrossRefGoogle Scholar
Rajendran, JGWilson, DCConrad, EU[18-F] FMISO and [18-F] FDG PET imaging in soft tissue sarcomas: correlation and hypoxia, metabolism and VEGF expressionEur J Nucl Med Mol Imaging 2003 30 695CrossRefGoogle Scholar

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