Quantitative dynamic ¹⁸FDG-PET and tracer kinetic analysis of soft tissue sarcomas

References

• Jebsen NL, Bruland OS, Eriksson M, Engellau J, Turesson I, Folin A, et al. Five-year results from a Scandinavian sarcoma group study (SSG XIII) of adjuvant chemotherapy combined with accelerated radiotherapy in high-risk soft tissue sarcoma of extremities and trunk wall. Int J Radiat Oncol Biol Phys 2011;81:1359–66.
   PubMed Web of Science ®Google Scholar
• Benz MR, Czernin J, Allen-Auerbach MS, Tap WD, Dry SM, Elashoff D, 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.
   PubMed Web of Science ®Google Scholar
• Kasper B, Dietrich S, Dimitrakopoulou-Strauss A, Strauss LG, Haberkorn U, Ho AD, et al. Early prediction of therapy outcome in patients with high-risk soft tissue sarcoma using positron emission tomography. Onkologie 2008;31:107–12.
   PubMedGoogle Scholar
• Fletcher JW, Djulbegovic B, Soares HP, Siegel BA, Lowe VJ, Lyman GH, et al. Recommendations on the use of 18F-FDG PET in oncology. J Nucl Med 2008;49:480–508.
   PubMed Web of Science ®Google Scholar
• Malinen E, Rodal J, Knudtsen IS, Sovik A, Skogmo HK. Spatiotemporal analysis of tumor uptake patterns in dynamic (18)FDG-PET and dynamic contrast enhanced CT. Acta Oncol 2011;50:873–82.
   PubMed Web of Science ®Google Scholar
• Mullani NA, Herbst RS, O’Neil RG, Gould KL, Barron BJ, Abbruzzese JL. Tumor blood flow measured by PET dynamic imaging of first-pass 18F-FDG uptake: A comparison with 15O-labeled water-measured blood flow. J Nucl Med 2008;49:517–23.
   PubMed Web of Science ®Google Scholar
• Dimitrakopoulou-Strauss A, Strauss LG, Egerer G, Vasamiliette J, Schmitt T, Haberkorn U, et al. Prediction of chemotherapy outcome in patients with metastatic soft tissue sarcomas based on dynamic FDG PET (dPET) and a multiparameter analysis. Eur J Nucl Med Mol Imaging 2010;37:1481–9.
   PubMed Web of Science ®Google Scholar
• Raghunand N, Gatenby RA, Gillies RJ. Microenvironmental and cellular consequences of altered blood flow in tumours. Br J Radiol 2003;76:S11–22.
   PubMed Web of Science ®Google Scholar
• Aristophanous M, Yap JT, Killoran JH, Chen AB, Berbeco RI. Four-dimensional positron emission tomography: Implications for dose painting of high-uptake regions. Int J Radiat Oncol Biol Phys 2011;80:900–8.
   PubMed Web of Science ®Google Scholar
• Sovik A, Malinen E, Olsen DR. Strategies for biologic image-guided dose escalation: A review. Int J Radiat Oncol Biol Phys 2009;73:650–8.
   PubMed Web of Science ®Google Scholar
• Dimitrakopoulou-Strauss A, Strauss LG, Schwarzbach M, Burger C, Heichel T, Willeke F, et al. Dynamic PET 18F-FDG studies in patients with primary and recurrent soft-tissue sarcomas: Impact on diagnosis and correlation with grading. J Nucl Med 2001;42:713–20.
   PubMed Web of Science ®Google Scholar
• Phelps ME, Huang SC, Hoffman EJ, Selin C, Sokoloff L, Kuhl DE. Tomographic measurement of local cerebral glucose metabolic rate in humans with (F-18)2-fluoro-2-deoxy- D-glucose: Validation of method. Ann Neurol 1979;6:371–88.
   PubMed Web of Science ®Google Scholar
• Roe K, Aleksandersen TB, Kristian A, Nilsen LB, Seierstad T, Qu H, et al. Preclinical dynamic 18F-FDG PET – tumor characterization and radiotherapy response assessment by kinetic compartment analysis. Acta Oncol 2010;49:914–21.
   PubMed Web of Science ®Google Scholar
• Boellaard R, O’Doherty MJ, Weber WA, Mottaghy FM, Lonsdale MN, Stroobants SG, et al. FDG PET and PET/CT: EANM procedure guidelines for tumour PET imaging: Version 1.0. Eur J Nucl Med Mol Imaging 2010;37:181–200.
   PubMed Web of Science ®Google Scholar
• Phelps ME. PET: Molecular imaging and its biological applications. New York, NY: Springer-Verlag; 2004.
   Google Scholar
• de Geus-Oei LF, Visser EP, Krabbe PF, van Hoorn BA, Koenders EB, Willemsen AT, et al. Comparison of image-derived and arterial input functions for estimating the rate of glucose metabolism in therapy-monitoring 18F-FDG PET studies. J Nucl Med 2006;47:945–9.
   PubMed Web of Science ®Google Scholar
• Puri T, Blake GM, Frost ML, Moore AE, Siddique M, Cook GJ, et al. Validation of image-derived arterial input functions at the femoral artery using 18F-fluoride positron emission tomography. Nucl Med Commun 2011;32:808–17.
   PubMed Web of Science ®Google Scholar
• Zasadny KR, Wahl RL. Standardized uptake values of normal tissues at PET with 2-[fluorine-18]-fluoro-2-deoxy-D-glucose: Variations with body weight and a method for correction. Radiology 1993;189:847–50.
   PubMed Web of Science ®Google Scholar
• Wahl RL, Jacene H, Kasamon Y, Lodge MA. From RECIST to PERCIST: Evolving considerations for PET response criteria in solid tumors. J Nucl Med 2009;50:122S–50S.
   PubMed Web of Science ®Google Scholar
• Bos R, van Der Hoeven JJ, van Der Wall E, van Der Groep P, van Diest PJ, Comans EF, et al. Biologic correlates of (18)fluorodeoxyglucose uptake in human breast cancer measured by positron emission tomography. J Clin Oncol 2002;20:379–87.
   PubMed Web of Science ®Google Scholar
• Port RE, Knopp MV, Brix G. Dynamic contrast-enhanced MRI using Gd-DTPA: Interindividual variability of the arterial input function and consequences for the assessment of kinetics in tumors. Magn Reson Med 2001;45:1030–8.
   PubMed Web of Science ®Google Scholar
• Charest M, Hickeson M, Lisbona R, Novales-Diaz JA, Derbekyan V, Turcotte RE. FDG PET/CT imaging in primary osseous and soft tissue sarcomas: A retrospective review of 212 cases. Eur J Nucl Med Mol Imaging 2009;36:1944–51.
   PubMed Web of Science ®Google Scholar
• Alic L, van Vliet M, van Dijke CF, Eggermont AM, Veenland JF, Niessen WJ. Heterogeneity in DCE-MRI parametric maps: A biomarker for treatment response?Phys Med Biol 2011;56:1601–16.
   PubMed Web of Science ®Google Scholar
• Tseng J, Dunnwald LK, Schubert EK, Link JM, Minoshima S, Muzi M, et al. 18F-FDG kinetics in locally advanced breast cancer: Correlation with tumor blood flow and changes in response to neoadjuvant chemotherapy. J Nucl Med 2004;45:1829–37.
   PubMed Web of Science ®Google Scholar
• Dimitrakopoulou-Strauss A, Strauss LG, Egerer G, Vasamiliette J, Mechtersheimer G, Schmitt T, et al. Impact of dynamic (18)F-FDG PET on the early prediction of therapy outcome in patients with high-risk soft-tissue sarcomas after neoadjuvant chemotherapy: A feasibility study. J Nucl Med 2010;51:551–8.
   PubMed Web of Science ®Google Scholar
• Dunnwald LK, Doot RK, Specht JM, Gralow JR, Ellis GK, Livingston RB, et al. PET tumor metabolism in locally advanced breast cancer patients undergoing neoadjuvant chemotherapy: Value of static versus kinetic measures of fluorodeoxyglucose uptake. Clin Cancer Res 2011;17:2400–9.
   PubMed Web of Science ®Google Scholar
• Andersen EK, Hole KH, Lund KV, Sundfor K, Kristensen GB, Lyng H, et al. Dynamic contrast-enhanced MRI of cervical cancers: Temporal percentile screening of contrast enhancement identifies parameters for prediction of chemoradioresistance. Int J Radiat Oncol Biol Phys 2012;82:e485–92.
   PubMed Web of Science ®Google Scholar