Abstract
Purpose
Positron emission tomography (PET) provides a noninvasive, functional assessment providing incremental diagnostic value over magnetic resonance imaging (MRI) and computed tomography (CT) for the initial staging, restaging, response assessment, and prognosis of bone and soft tissue sarcomas. The purpose of this article is to review the current state and future applications of PET in sarcoma imaging, including the clinical roles of 18F-fluorodeoxyglucose (FDG) and other PET radiotracers as well as the use of PET with concurrent MRI.
Methods
A PubMed search using the query “(‘positron emission tomography’ OR PET) AND (‘CT’ OR ‘computed tomograph*’ OR ‘MR*’ OR ‘magnetic resonance’) AND (FDG OR hypox* OR prolif*) AND sarcoma*” for PET examinations involving bone and soft tissue sarcoma studies up to February 1, 2017 were performed. Additionally, analogous Google Scholar, Scopus, and Web of Science search queries were also performed. Subsequently, references for the retrieved articles were reviewed, and the relevant publications on the subject were also included.
Discussion
A total of 30 studies were included in the review. FDG-PET with concurrent computed tomography (CT) can provide incremental diagnostic value relative to MRI to provide additional insight into the grading, staging, restaging, and response assessment in sarcomas, particularly when neoadjuvant therapy is an option. FDG-PET/CT can be used for noninvasive prediction of tumor grade and assess regional heterogeneity, providing guidance for tissue sampling and reducing the risk of undergrading and understaging. In addition, early clinical studies of sarcoma PET imaging using hypoxia and cellular proliferation agents suggest incremental diagnostic benefit over FDG-PET. The use of PET/MRI is under active investigation and may yield additional clinically impactful findings over PET/CT.
Conclusion
PET imaging used with concurrent CT or MRI provides a unique noninvasive way to assess regional biological and biochemical features for bone and soft tissue sarcomas.
Similar content being viewed by others
References
Rodriguez R, Rubio R, Menendez P (2012) Modeling sarcomagenesis using multipotent mesenchymal stem cells. Cell Res 22:62–77. doi:10.1038/cr.2011.157
Pittenger MF, Mackay AM, Beck SC et al (1999) Multilineage potential of adult human mesenchymal stem cells. Science 284:143–147
da Silva Meirelles L, Chagastelles PC, Nardi NB (2006) Mesenchymal stem cells reside in virtually all post-natal organs and tissues. J Cell Sci 119:2204–2213. doi:10.1242/jcs.02932
Doyle LA (2014) Sarcoma classification: an update based on the 2013 World Health Organization Classification of tumors of soft tissue and bone. Cancer 120:1763–1774. doi:10.1002/cncr.28657
Fletcher CDM, World Health Organization, International Agency for Research on Cancer (2013) WHO classification of tumours of soft tissue and bone, 4th edn. IARC Press, Lyon
Jo VY, Fletcher CDM (2014) WHO classification of soft tissue tumours: an update based on the 2013 (4th) edition. Pathology (Phila) 46:95–104. doi:10.1097/PAT.0000000000000050
The ESMO/European Sarcoma Network Working Group (2014) Bone sarcomas: ESMO Clinical Practice Guidelines for diagnosis, treatment and follow-up. Ann Oncol 25:iii113–iii123. doi:10.1093/annonc/mdu256
The ESMO/European Sarcoma Network Working Group (2014) Soft tissue and visceral sarcomas: ESMO Clinical Practice Guidelines for diagnosis, treatment and follow-up. Ann Oncol 25:iii102–iii112. doi:10.1093/annonc/mdu254
US Cancer Statistics Working Group (2016) United States Cancer Statistics: 1999–2013 Incidence and Mortality Web-based Report. US Department of Health and Human Services, Centers for Disease Control and Prevention and National Cancer Institute, Atlanta
Berquist TH, Ehman RL, King BF et al (1990) Value of MR imaging in differentiating benign from malignant soft-tissue masses: study of 95 lesions. Am J Roentgenol 155:1251–1255. doi:10.2214/ajr.155.6.2122675
Choi YY, Kim JY, Yang S-O (2014) PET/CT in benign and malignant musculoskeletal tumors and tumor-like conditions. Semin Musculoskelet Radiol 18:133–148. doi:10.1055/s-0034-1371016
Bielack SS, Kempf-Bielack B, Delling G et al (2002) Prognostic factors in high-grade osteosarcoma of the extremities or trunk: an analysis of 1702 patients treated on neoadjuvant cooperative osteosarcoma study group protocols. J Clin Oncol Off J Am Soc Clin Oncol 20:776–790. doi:10.1200/jco.2002.20.3.776
Schnapauff D, Zeile M, Niederhagen MB et al (2009) Diffusion-weighted echo-planar magnetic resonance imaging for the assessment of tumor cellularity in patients with soft-tissue sarcomas. J Magn Reson Imaging JMRI 29:1355–1359. doi:10.1002/jmri.21755
Chou S-HS, Hippe DS, Lee AY et al (2017) Gadolinium contrast enhancement improves confidence in diagnosing recurrent soft tissue sarcoma by MRI. Acad Radiol. doi:10.1016/j.acra.2016.12.010
Garner HW, Kransdorf MJ (2016) Musculoskeletal sarcoma: update on imaging of the post-treatment patient. Can Assoc Radiol J 67:12–20. doi:10.1016/j.carj.2014.11.002
Subhawong TK, Wilky BA (2015) Value added: functional MR imaging in management of bone and soft tissue sarcomas. Curr Opin Oncol 27:323–331. doi:10.1097/CCO.0000000000000199
Andersen KF, Fuglo HM, Rasmussen SH et al (2015) Volume-based F-18 FDG PET/CT imaging markers provide supplemental prognostic information to histologic grading in patients with high-grade bone or soft tissue sarcoma. Medicine (Baltimore) 94:e2319. doi:10.1097/MD.0000000000002319
Bastiaannet E, Groen H, Jager PL et al (2004) The value of FDG-PET in the detection, grading and response to therapy of soft tissue and bone sarcomas; a systematic review and meta-analysis. Cancer Treat Rev 30:83–101. doi:10.1016/j.ctrv.2003.07.004
Fuglø HM, Jørgensen SM, Loft A et al (2012) 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 39:1416–1424. doi:10.1007/s00259-012-2159-z
Iagaru A, Masamed R, Chawla SP et al (2008) F-18 FDG PET and PET/CT evaluation of response to chemotherapy in bone and soft tissue sarcomas. Clin Nucl Med 33:8–13. doi:10.1097/RLU.0b013e31815c4fd4
Kubo T, Furuta T, Johan MP (1990) Ochi M (2016) Prognostic significance of (18)F-FDG PET at diagnosis in patients with soft tissue sarcoma and bone sarcoma; systematic review and meta-analysis. Eur J Cancer Oxf Engl 58:104–111. doi:10.1016/j.ejca.2016.02.007
Benz MR, Czernin J, Allen-Auerbach MS et al (2009) FDG-PET/CT imaging predicts histopathologic treatment responses after the initial cycle of neoadjuvant chemotherapy in high-grade soft-tissue sarcomas. Clin Cancer Res Off J Am Assoc Cancer Res 15:2856–2863. doi:10.1158/1078-0432.CCR-08-2537
Piperkova E, Mikhaeil M, Mousavi A et al (2009) Impact of PET and CT in PET/CT studies for staging and evaluating treatment response in bone and soft tissue sarcomas. Clin Nucl Med 34:146–150. doi:10.1097/RLU.0b013e3181966f9d
Eary JF, O’Sullivan F, O’Sullivan J, Conrad EU (2008) Spatial heterogeneity in sarcoma 18F-FDG uptake as a predictor of patient outcome. J Nucl Med 49:1973–1979. doi:10.2967/jnumed.108.053397
Byun BH, Kong C-B, Lim I et al (2013) Comparison of (18)F-FDG PET/CT and (99m)Tc-MDP bone scintigraphy for detection of bone metastasis in osteosarcoma. Skeletal Radiol 42:1673–1681. doi:10.1007/s00256-013-1714-4
Franzius C, Sciuk J, Daldrup-Link HE et al (2000) FDG-PET for detection of osseous metastases from malignant primary bone tumours: comparison with bone scintigraphy. Eur J Nucl Med 27:1305–1311
Györke T, Zajic T, Lange A et al (2006) Impact of FDG PET for staging of Ewing sarcomas and primitive neuroectodermal tumours. Nucl Med Commun 27:17–24
Walter F, Czernin J, Hall T et al (2012) Is there a need for dedicated bone imaging in addition to 18F-FDG PET/CT imaging in pediatric sarcoma patients? J Pediatr Hematol Oncol 34:131–136. doi:10.1097/MPH.0b013e3182282825
The National Comprehensive Cancer Network (2017) NCCN Clinical Practice Guidelines in Oncology
Maruzzo M, Rastrelli M, Lumachi F et al (2013) Adjuvant and neoadjuvant chemotherapy for soft tissue sarcomas. Curr Med Chem 20:613–620
Maretty-Nielsen K, Aggerholm-Pedersen N, Safwat A et al (2014) Prognostic factors for local recurrence and mortality in adult soft tissue sarcoma of the extremities and trunk wall: a cohort study of 922 consecutive patients. Acta Orthop 85:323–332. doi:10.3109/17453674.2014.908341
Rajendran JG, Wilson DC, Conrad EU et al (2003) [(18)F]FMISO and [(18)F]FDG PET imaging in soft tissue sarcomas: correlation of hypoxia, metabolism and VEGF expression. Eur J Nucl Med Mol Imaging 30:695–704. doi:10.1007/s00259-002-1096-7
Benz MR, Czernin J, Allen-Auerbach MS et al (2012) 3′-deoxy-3′-[18F]fluorothymidine positron emission tomography for response assessment in soft tissue sarcoma: a pilot study to correlate imaging findings with tissue thymidine kinase 1 and Ki-67 activity and histopathologic response. Cancer 118:3135–3144. doi:10.1002/cncr.26630
Buchbender C, Heusner TA, Lauenstein TC et al (2012) Oncologic PET/MRI, Part 2: bone tumors, soft-tissue tumors, melanoma, and lymphoma. J Nucl Med 53:1244–1252. doi:10.2967/jnumed.112.109306
Roberge D, Vakilian S, Alabed YZ et al (2012) FDG PET/CT in initial staging of adult soft-tissue sarcoma. Sarcoma 2012:960194. doi:10.1155/2012/960194
Ferguson WS, Goorin AM (2001) Current treatment of osteosarcoma. Cancer Invest 19:292–315
Jeffree GM, Price CH, Sissons HA (1975) The metastatic patterns of osteosarcoma. Br J Cancer 32:87–107
Mariani L, Miceli R, Kattan MW et al (2005) Validation and adaptation of a nomogram for predicting the survival of patients with extremity soft tissue sarcoma using a three-grade system. Cancer 103:402–408. doi:10.1002/cncr.20778
Ilaslan H, Schils J, Nageotte W et al (2010) Clinical presentation and imaging of bone and soft-tissue sarcomas. Cleve Clin J Med 77(Suppl 1):S2–S7. doi:10.3949/ccjm.77.s1.01
Vanhoenacker FM, Van Looveren K, Trap K et al (2012) Grading and characterization of soft tissue tumors on magnetic resonance imaging: the value of an expert second opinion report. Insights Imaging 3:131–138. doi:10.1007/s13244-012-0151-6
Gielen JLMA, De Schepper AM, Vanhoenacker F et al (2004) Accuracy of MRI in characterization of soft tissue tumors and tumor-like lesions. A prospective study in 548 patients. Eur Radiol 14:2320–2330. doi:10.1007/s00330-004-2431-0
Fernebro J, Wiklund M, Jonsson K et al (2006) Focus on the tumour periphery in MRI evaluation of soft tissue sarcoma: infiltrative growth signifies poor prognosis. Sarcoma 2006:21251. doi:10.1155/SRCM/2006/21251
Eary JF, Mankoff DA (1998) Tumor metabolic rates in sarcoma using FDG PET. J Nucl Med Off Publ Soc Nucl Med 39:250–254
Aoki J, Watanabe H, Shinozaki T et al (2001) FDG PET of primary benign and malignant bone tumors: standardized uptake value in 52 lesions. Radiology 219:774–777. doi:10.1148/radiology.219.3.r01ma08774
Carneiro A, Bendahl P-O, Engellau J et al (2011) A prognostic model for soft tissue sarcoma of the extremities and trunk wall based on size, vascular invasion, necrosis, and growth pattern. Cancer 117:1279–1287. doi:10.1002/cncr.25621
Inwards CY, Unni KK (1995) Classification and grading of bone sarcomas. Hematol Oncol Clin North Am 9:545–569
Folpe AL, Lyles RH, Sprouse JT et al (2000) (F-18) fluorodeoxyglucose positron emission tomography as a predictor of pathologic grade and other prognostic variables in bone and soft tissue sarcoma. Clin Cancer Res Off J Am Assoc Cancer Res 6:1279–1287
Eary JF, Conrad EU, Bruckner JD et al (1998) Quantitative [F-18]fluorodeoxyglucose positron emission tomography in pretreatment and grading of sarcoma. Clin Cancer Res Off J Am Assoc Cancer Res 4:1215–1220
Ioannidis JPA, Lau J (2003) 18F-FDG PET for the diagnosis and grading of soft-tissue sarcoma: a meta-analysis. J Nucl Med Off Publ Soc Nucl Med 44:717–724
Brenner W, Conrad EU, Eary JF (2004) FDG PET imaging for grading and prediction of outcome in chondrosarcoma patients. Eur J Nucl Med Mol Imaging 31:189–195. doi:10.1007/s00259-003-1353-4
Geirnaerdt MJA, Hogendoorn PCW, Bloem JL et al (2000) Cartilaginous tumors: fast contrast-enhanced MR imaging. Radiology 214:539–546. doi:10.1148/radiology.214.2.r00fe12539
Nakamura T, Matsumine A, Niimi R et al (2009) Management of small pulmonary nodules in patients with sarcoma. Clin Exp Metastasis 26:713–718. doi:10.1007/s10585-009-9270-y
Flavell RR, Behr SC, Mabray MC et al (2016) Detecting pulmonary nodules in lung cancer patients using whole body FDG PET/CT, high-resolution lung reformat of FDG PET/CT, or diagnostic breath hold chest CT. Acad Radiol 23:1123–1129. doi:10.1016/j.acra.2016.04.007
Huang T-L, Liu R-S, Chen T-H et al (2006) Comparison between F-18-FDG positron emission tomography and histology for the assessment of tumor necrosis rates in primary osteosarcoma. J Chin Med Assoc JCMA 69:372–376. doi:10.1016/S1726-4901(09)70275-8
Shapeero LG, Vanel D (2000) Imaging evaluation of the response of high-grade osteosarcoma and Ewing sarcoma to chemotherapy with emphasis on dynamic contrast-enhanced magnetic resonance imaging. Semin Musculoskelet Radiol 4:137–146
Skougaard K, Nielsen D, Jensen BV, Hendel HW (2013) Comparison of EORTC criteria and PERCIST for PET/CT response evaluation of patients with metastatic colorectal cancer treated with irinotecan and cetuximab. J Nucl Med Off Publ Soc Nucl Med 54:1026–1031. doi:10.2967/jnumed.112.111757
Whelan JS, Bielack SS, Marina N et al (2015) EURAMOS-1, an international randomised study for osteosarcoma: results from pre-randomisation treatment. Ann Oncol Off J Eur Soc Med Oncol 26:407–414. doi:10.1093/annonc/mdu526
Winkler K, Bielack SS, Delling G et al (1993) Treatment of osteosarcoma: experience of the Cooperative Osteosarcoma Study Group (COSS). Cancer Treat Res 62:269–277
Raymond AK, Chawla SP, Carrasco CH et al (1987) Osteosarcoma chemotherapy effect: a prognostic factor. Semin Diagn Pathol 4:212–236
Kong C-B, Byun BH, Lim I et al (2013) 18F-FDG PET SUVmax as an indicator of histopathologic response after neoadjuvant chemotherapy in extremity osteosarcoma. Eur J Nucl Med Mol Imaging 40:728–736. doi:10.1007/s00259-013-2344-8
Bajpai J, Kumar R, Sreenivas V et al (2011) Prediction of chemotherapy response by PET-CT in osteosarcoma: correlation with histologic necrosis. J Pediatr Hematol Oncol 33:e271–e278. doi:10.1097/MPH.0b013e31820ff78e
Cheon GJ, Kim MS, Lee JA et al (2009) Prediction model of chemotherapy response in osteosarcoma by 18F-FDG PET and MRI. J Nucl Med Off Publ Soc Nucl Med 50:1435–1440. doi:10.2967/jnumed.109.063602
Hawkins DS, Rajendran JG, Conrad EU et al (2002) Evaluation of chemotherapy response in pediatric bone sarcomas by [F-18]-fluorodeoxy-d-glucose positron emission tomography. Cancer 94:3277–3284. doi:10.1002/cncr.10599
Picci P, Böhling T, Bacci G et al (1997) Chemotherapy-induced tumor necrosis as a prognostic factor in localized Ewing’s sarcoma of the extremities. J Clin Oncol Off J Am Soc Clin Oncol 15:1553–1559. doi:10.1200/jco.1997.15.4.1553
Albergo JI, Gaston CL, Laitinen M et al (2016) Ewing’s sarcoma: only patients with 100% of necrosis after chemotherapy should be classified as having a good response. Bone Jt J 98-B:1138–1144. doi:10.1302/0301-620X.98B8.37346
Raciborska A, Bilska K, Drabko K et al (2016) Response to chemotherapy estimates by FDG PET is an important prognostic factor in patients with Ewing sarcoma. Clin Transl Oncol 18:189–195. doi:10.1007/s12094-015-1351-6
Dantonello TM, Int-Veen C, Leuschner I et al (2008) Mesenchymal chondrosarcoma of soft tissues and bone in children, adolescents, and young adults: experiences of the CWS and COSS study groups. Cancer 112:2424–2431. doi:10.1002/cncr.23457
Stacchiotti S, Pantaleo MA, Astolfi A et al (2014) Activity of sunitinib in extraskeletal myxoid chondrosarcoma. Eur J Cancer Oxf Engl 1990 50:1657–1664. doi:10.1016/j.ejca.2014.03.013
Villert A, Kolomiets L, Vasilyev N et al (2015) Extraskeletal myxoid chondrosarcoma of the vulva: a case report. Oncol Lett 10:2095–2099. doi:10.3892/ol.2015.3586
Zaki M, Laszewski P, Robinette N et al (2015) Unresectable extraskeletal myxoid chondrosarcoma of the neck: early tumor response to chemoradiotherapy. Cureus 7:e432. doi:10.7759/cureus.432
Vaynrub M, Taheri N, Ahlmann ER et al (2015) Prognostic value of necrosis after neoadjuvant therapy for soft tissue sarcoma. J Surg Oncol 111:152–157. doi:10.1002/jso.23775
Eary JF, O’Sullivan F, Powitan Y et al (2002) Sarcoma tumor FDG uptake measured by PET and patient outcome: a retrospective analysis. Eur J Nucl Med Mol Imaging 29:1149–1154. doi:10.1007/s00259-002-0859-5
Costelloe CM, Macapinlac HA, Madewell JE et al (2009) 18F-FDG PET/CT as an indicator of progression-free and overall survival in osteosarcoma. J Nucl Med Off Publ Soc Nucl Med 50:340–347. doi:10.2967/jnumed.108.058461
Skamene SR, Rakheja R, Dahlstrom KR et al (2014) Metabolic activity measured on PET/CT correlates with clinical outcomes in patients with limb and girdle sarcomas. J Surg Oncol 109:410–414. doi:10.1002/jso.23523
Schwarzbach MHM, Hinz U, Dimitrakopoulou-Strauss A et al (2005) Prognostic significance of preoperative [18-F] fluorodeoxyglucose (FDG) positron emission tomography (PET) imaging in patients with resectable soft tissue sarcomas. Ann Surg 241:286–294
Heppner GH, Miller BE (1983) Tumor heterogeneity: biological implications and therapeutic consequences. Cancer Metastasis Rev 2:5–23. doi:10.1007/BF00046903
Longo DL (2012) Tumor heterogeneity and personalized medicine. N Engl J Med 366:956–957. doi:10.1056/NEJMe1200656
Franzetti G-A, Laud-Duval K, van der Ent W et al (2017) Cell-to-cell heterogeneity of EWSR1-FLI1 activity determines proliferation/migration choices in Ewing sarcoma cells. Oncogene. doi:10.1038/onc.2016.498
Jemaà M, Abdallah S, Lledo G et al (2016) Heterogeneity in sarcoma cell lines reveals enhanced motility of tetraploid versus diploid cells. Oncotarget. doi:10.18632/oncotarget.14291
Skubitz KM, D’Adamo DR (2007) Sarcoma. Mayo Clin Proc 82:1409–1432. doi:10.4065/82.11.1409
Helman LJ, Meltzer P (2003) Mechanisms of sarcoma development. Nat Rev Cancer 3:685–694. doi:10.1038/nrc1168
O’Sullivan M, Budhraja V, Sadovsky Y, Pfeifer JD (2005) Tumor heterogeneity affects the precision of microarray analysis. Diagn Mol Pathol Am J Surg Pathol Part B 14:65–71
Tellez-Gabriel M, Ory B, Lamoureux F et al (2016) Tumour heterogeneity: the key advantages of single-cell analysis. Int J Mol Sci. doi:10.3390/ijms17122142
Singer AD, Pattany PM, Fayad LM et al (2016) Volumetric segmentation of ADC maps and utility of standard deviation as measure of tumor heterogeneity in soft tissue tumors. Clin Imaging 40:386–391. doi:10.1016/j.clinimag.2015.11.017
Allen SD, Moskovic EC, Fisher C, Thomas JM (2007) Adult rhabdomyosarcoma: cross-sectional imaging findings including histopathologic correlation. AJR Am J Roentgenol 189:371–377. doi:10.2214/AJR.07.2065
O’Sullivan F (2003) A statistical measure of tissue heterogeneity with application to 3D PET sarcoma data. Biostatistics 4:433–448. doi:10.1093/biostatistics/4.3.433
O’Sullivan F, Roy S, O’Sullivan J et al (2005) Incorporation of tumor shape into an assessment of spatial heterogeneity for human sarcomas imaged with FDG-PET. Biostat Oxf Engl 6:293–301. doi:10.1093/biostatistics/kxi010
Semenza GL (2007) Hypoxia-inducible factor 1 (HIF-1) pathway. Sci STKE Signal Transduct Knowl Environ. doi:10.1126/stke.4072007cm8
Rasey JS, Koh W, Evans ML et al (1996) Quantifying regional hypoxia in human tumors with positron emission tomography of [18F]fluoromisonidazole: a pretherapy study of 37 patients. Int J Radiat Oncol 36:417–428. doi:10.1016/S0360-3016(96)00325-2
Yang DJ, Ilgan S, Higuchi T et al (1999) Noninvasive assessment of tumor hypoxia with 99mTc labeled metronidazole. Pharm Res 16:743–750
Koh W-J, Rasey JS, Evans ML et al (1992) Imaging of hypoxia in human tumors with [F-18]fluoromisonidazole. Int J Radiat Oncol 22:199–212. doi:10.1016/0360-3016(92)91001-4
Vaupel P, Mayer A (2007) Hypoxia in cancer: significance and impact on clinical outcome. Cancer Metastasis Rev 26:225–239. doi:10.1007/s10555-007-9055-1
Eschmann SM, Paulsen F, Bedeshem C et al (2007) Hypoxia-imaging with (18)F-Misonidazole and PET: changes of kinetics during radiotherapy of head-and-neck cancer. Radiother Oncol J Eur Soc Ther Radiol Oncol 83:406–410. doi:10.1016/j.radonc.2007.05.014
Lee NY, Mechalakos JG, Nehmeh S et al (2008) Fluorine-18-labeled fluoromisonidazole positron emission and computed tomography-guided intensity-modulated radiotherapy for head and neck cancer: a feasibility study. Int J Radiat Oncol Biol Phys 70:2–13. doi:10.1016/j.ijrobp.2007.06.039
Francis P, Namløs H, Müller C et al (2007) Diagnostic and prognostic gene expression signatures in 177 soft tissue sarcomas: hypoxia-induced transcription profile signifies metastatic potential. BMC Genom 8:73. doi:10.1186/1471-2164-8-73
Nordsmark M, Alsner J, Keller J et al (2001) Hypoxia in human soft tissue sarcomas: adverse impact on survival and no association with p53 mutations. Br J Cancer 84:1070–1075. doi:10.1054/bjoc.2001.1728
Evans SM, Fraker D, Hahn SM et al (2006) EF5 binding and clinical outcome in human soft tissue sarcomas. Int J Radiat Oncol Biol Phys 64:922–927. doi:10.1016/j.ijrobp.2005.05.068
Brizel DM, Scully SP, Harrelson JM et al (1996) Tumor oxygenation predicts for the likelihood of distant metastases in human soft tissue sarcoma. Cancer Res 56:941–943
Gray LH, Conger AD, Ebert M et al (1953) The concentration of oxygen dissolved in tissues at the time of irradiation as a factor in radiotherapy. Br J Radiol 26:638–648. doi:10.1259/0007-1285-26-312-638
Mortensen LS, Johansen J, Kallehauge J et al (2012) FAZA PET/CT hypoxia imaging in patients with squamous cell carcinoma of the head and neck treated with radiotherapy: results from the DAHANCA 24 trial. Radiother Oncol 105:14–20. doi:10.1016/j.radonc.2012.09.015
Vergis R, Corbishley CM, Norman AR et al (2008) Intrinsic markers of tumour hypoxia and angiogenesis in localised prostate cancer and outcome of radical treatment: a retrospective analysis of two randomised radiotherapy trials and one surgical cohort study. Lancet Oncol 9:342–351. doi:10.1016/S1470-2045(08)70076-7
Kurihara H, Honda N, Kono Y, Arai Y (2012) Radiolabelled agents for PET imaging of tumor hypoxia. Curr Med Chem 19:3282–3289
Krohn KA, Link JM, Mason RP (2008) Molecular imaging of hypoxia. J Nucl Med Off Publ Soc Nucl Med 49(Suppl 2):129S–148S. doi:10.2967/jnumed.107.045914
Chapman JD, Baer K, Lee J (1983) Characteristics of the metabolism-induced binding of misonidazole to hypoxic mammalian cells. Cancer Res 43:1523–1528
Liu J, Hajibeigi A, Ren G et al (2009) Retention of the radiotracers 64Cu-ATSM and 64Cu-PTSM in human and murine tumors is influenced by MDR1 protein expression. J Nucl Med Off Publ Soc Nucl Med 50:1332–1339. doi:10.2967/jnumed.109.061879
Beck R, Röper B, Carlsen JM et al (2007) Pretreatment 18F-FAZA PET predicts success of hypoxia-directed radiochemotherapy using tirapazamine. J Nucl Med Off Publ Soc Nucl Med 48:973–980. doi:10.2967/jnumed.106.038570
Sørensen M, Horsman MR, Cumming P et al (2005) Effect of intratumoral heterogeneity in oxygenation status on FMISO PET, autoradiography, and electrode Po2 measurements in murine tumors. Int J Radiat Oncol 62:854–861. doi:10.1016/j.ijrobp.2005.02.044
Busk M, Horsman MR, Jakobsen S et al (2008) Imaging hypoxia in xenografted and murine tumors with 18F-fluoroazomycin arabinoside: a comparative study involving microPET, autoradiography, PO2-polarography, and fluorescence microscopy. Int J Radiat Oncol Biol Phys 70:1202–1212. doi:10.1016/j.ijrobp.2007.11.034
Lewin J, Khamly KK, Young RJ et al (2014) A phase Ib/II translational study of sunitinib with neoadjuvant radiotherapy in soft-tissue sarcoma. Br J Cancer 111:2254–2261. doi:10.1038/bjc.2014.537
Mammar H, Kerrou K, Nataf V et al (2012) Positron emission tomography/computed tomography imaging of residual skull base chordoma before radiotherapy using fluoromisonidazole and fluorodeoxyglucose: potential consequences for dose painting. Int J Radiat Oncol Biol Phys 84:681–687. doi:10.1016/j.ijrobp.2011.12.047
Coindre JM, Terrier P, Guillou L et al (2001) Predictive 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 Group. Cancer 91:1914–1926
Buerkle A, Weber WA (2008) Imaging of tumor glucose utilization with positron emission tomography. Cancer Metastasis Rev 27:545–554. doi:10.1007/s10555-008-9151-x
Bading JR, Shields AF (2008) Imaging of cell proliferation: status and prospects. J Nucl Med Off Publ Soc Nucl Med 49(Suppl 2):64S–80S. doi:10.2967/jnumed.107.046391
Paproski RJ, Ng AML, Yao SYM et al (2008) The role of human nucleoside transporters in uptake of 3′-deoxy-3′-fluorothymidine. Mol Pharmacol 74:1372–1380. doi:10.1124/mol.108.048900
Sala R, Nguyen Q-D, Patel CBK et al (2014) Phosphorylation status of thymidine kinase 1 following antiproliferative drug treatment mediates 3′-deoxy-3′-[18F]-fluorothymidine cellular retention. PLoS One 9:e101366. doi:10.1371/journal.pone.0101366
Yang W, Zhang Y, Fu Z et al (2010) Imaging of proliferation with 18F-FLT PET/CT versus 18F-FDG PET/CT in non-small-cell lung cancer. Eur J Nucl Med Mol Imaging 37:1291–1299. doi:10.1007/s00259-010-1412-6
Buck AK, Halter G, Schirrmeister H et al (2003) Imaging proliferation in lung tumors with PET: 18F-FLT versus 18F-FDG. J Nucl Med Off Publ Soc Nucl Med 44:1426–1431
Francis DL, Visvikis D, Costa DC et al (2003) Potential impact of [18F]3′-deoxy-3′-fluorothymidine versus [18F]fluoro-2-deoxy-d-glucose in positron emission tomography for colorectal cancer. Eur J Nucl Med Mol Imaging 30:988–994. doi:10.1007/s00259-003-1187-0
Buck AK, Herrmann K, Büschenfelde CMZ et al (2008) Imaging bone and soft tissue tumors with the proliferation marker [18F]fluorodeoxythymidine. Clin Cancer Res Off J Am Assoc Cancer Res 14:2970–2977. doi:10.1158/1078-0432.CCR-07-4294
Barwick T, Bencherif B, Mountz JM, Avril N (2009) Molecular PET and PET/CT imaging of tumour cell proliferation using F-18 fluoro-l-thymidine: a comprehensive evaluation. Nucl Med Commun 30:908–917. doi:10.1097/MNM.0b013e32832ee93b
Thoeny HC, De Keyzer F, Vandecaveye V et al (2005) Effect of vascular targeting agent in rat tumor model: dynamic contrast-enhanced versus diffusion-weighted MR imaging. Radiology 237:492–499. doi:10.1148/radiol.2372041638
Weber WA (2010) Monitoring tumor response to therapy with 18F-FLT PET. J Nucl Med Off Publ Soc Nucl Med 51:841–844. doi:10.2967/jnumed.109.071217
Tran L-B-A, Bol A, Labar D et al (2016) DW-MRI and (18) F-FLT PET for early assessment of response to radiation therapy associated with hypoxia-driven interventions. Preclinical studies using manipulation of oxygenation and/or dose escalation. Contrast Media Mol Imaging 11:115–121. doi:10.1002/cmmi.1670
Li Z, Herrmann K, Pirsig S et al (2013) Molecular imaging for early prediction of response to Sorafenib treatment in sarcoma. Am J Nucl Med Mol Imaging 4:70–79
Leyton J, Latigo JR, Perumal M et al (2005) Early detection of tumor response to chemotherapy by 3′-deoxy-3′-[18F]fluorothymidine positron emission tomography: the effect of cisplatin on a fibrosarcoma tumor model in vivo. Cancer Res 65:4202–4210. doi:10.1158/0008-5472.CAN-04-4008
Sohn H-J, Yang Y-J, Ryu J-S et al (2008) [18F]Fluorothymidine positron emission tomography before and 7 days after gefitinib treatment predicts response in patients with advanced adenocarcinoma of the lung. Clin Cancer Res Off J Am Assoc Cancer Res 14:7423–7429. doi:10.1158/1078-0432.CCR-08-0312
Eary JF, Link JM, Muzi M et al (2011) Multiagent PET for risk characterization in sarcoma. J Nucl Med Off Publ Soc Nucl Med 52:541–546. doi:10.2967/jnumed.110.083717
Yang Y, Cao M, Kamrava M et al (2016) WE-FG-202-11: longitudinal diffusion MRI for treatment assessment of sarcoma patients with pre-operative radiation therapy. Med Phys 43:3829. doi:10.1118/1.4957923
Huang W, Beckett BR, Tudorica A et al (2016) Evaluation of soft tissue sarcoma response to preoperative chemoradiotherapy using dynamic contrast-enhanced magnetic resonance imaging. Tomogr J Imaging Res 2:308–316. doi:10.18383/j.tom.2016.00202
Uhl M, Saueressig U, van Buiren M et al (2006) Osteosarcoma: preliminary results of in vivo assessment of tumor necrosis after chemotherapy with diffusion- and perfusion-weighted magnetic resonance imaging. Invest Radiol 41:618–623. doi:10.1097/01.rli.0000225398.17315.68
Raylman RR, Majewski S, Velan SS et al (2007) Simultaneous acquisition of magnetic resonance spectroscopy (MRS) data and positron emission tomography (PET) images with a prototype MR-compatible, small animal PET imager. J Magn Reson San Diego Calif 1997 186:305–310. doi:10.1016/j.jmr.2007.03.012
Catalano OA, Rosen BR, Sahani DV et al (2013) Clinical impact of PET/MR imaging in patients with cancer undergoing same-day PET/CT: initial experience in 134 patients—a Hypothesis-generating Exploratory Study. Radiology 269:857–869. doi:10.1148/radiol.13131306
Benz MR, Czernin J, Tap WD et al (2010) FDG-PET/CT imaging predicts histopathologic treatment responses after neoadjuvant therapy in adult primary bone sarcomas. Sarcoma 2010:1–7. doi:10.1155/2010/143540
Author information
Authors and Affiliations
Contributions
Author contribution statement
P-HC: literature search and review, and manuscript writing and editing. DAM: content planning, manuscript editing, and literature review. RAS: content planning, manuscript editing, and literature review.
Corresponding author
Ethics declarations
Conflict of interest
Po-Hao Chen declares that he has no relevant conflict of interest. David Mankoff declares that he has no relevant conflict of interest. Ronnie Sebro declares that he has no relevant conflict of interest.
Ethical approval
This article does not contain any studies with human participants or animals performed by any of the authors.
Electronic supplementary material
Below is the link to the electronic supplementary material.
Rights and permissions
About this article
Cite this article
Chen, PH., Mankoff, D.A. & Sebro, R.A. Clinical overview of the current state and future applications of positron emission tomography in bone and soft tissue sarcoma. Clin Transl Imaging 5, 343–358 (2017). https://doi.org/10.1007/s40336-017-0236-9
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s40336-017-0236-9