Aki T, Nakayama N, Yonezawa S, Takenaka S, Miwa K, Asano Y et al (2012) Evaluation of brain tumors using dynamic 11C-methionine-PET. J Neuro-Oncol 109:115–122. https://doi.org/10.1007/s11060-012-0873-9
Article
Google Scholar
Belakhlef S, Church C, Jani C, Lakhanpl S (2012) Early dynamic PET/CT and 18F-FDG blood flow imaging in bladder cancer detection: a novel approach. Clin Nucl Med 37:366–368
Article
Google Scholar
Bernstine H, Braun M, Yefremov N, Lamash Y, Carmi R, Stern D et al (2011) FDG PET/CT early dynamic blood flow and late standardized uptake value determination in hepatocellular carcinoma. Radiology 260:503–510
Article
Google Scholar
Choong, Kunisada T, Slavin J, Schlicht S, Hicks R (2004) The role of thallium201 and pentavalent dimercaptosuccinic acid for staging cartilaginous tumours. Int Semin Surg Oncol 1:10
Article
Google Scholar
Derlon JM, Bourdet C, Bustany P, Chatel M, Theron J, Darcel F (1989) et al, [11C] L-methionine uptake in gliomas. Neurosurgery 25:720–729
Dimitrakopoulou-Strauss A, Strauss LG, Egerer G, Vasamiliette J, Mechtersheimer G, Schmitt T et al (2010a) Impact of dynamic 18F-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 51:551–558
Article
Google Scholar
Dimitrakopoulou-Strauss A, Strauss LG, Egerer G, Vasamiliette J, Schmitt T, Haberkorn U et al (2010b) 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 37:1481–1489
Article
CAS
Google Scholar
Dimitrakopoulou-Strauss A, Strauss LG, Heichel T, Wu H, Burger C, Bernd L et al (2002) The role of quantitative (18)F-FDG PET studies for the differentiation of malignant and benign bone lesions. J Nucl Med 43:510–518
PubMed
Google Scholar
Dimitrakopoulou-Strauss A, Strauss LG, Schwarzbach M, Burger C, Heichel T, Willeke F et al (2001) Dynamic PET 18F-FDG studies in patients with primary and recurrent soft-tissue sarcomas: impact on diagnosis and correlation with grading. J Nucl Med 42:713–720
CAS
PubMed
Google Scholar
Epelbaum R, Frenkel A, Haddad R, Sikorski N, Strauss LG, Israel O et al (2013) Tumour aggressiveness and patient outcome in cancer of the pancreas assessed by dynamic 18F-FDG PET/CT. J Nucl Med 54:12–18
Article
CAS
Google Scholar
Fletcher CDM, Bridge JA, Hogendoorn P, Mertens F (2013) WHO Classification of tumours of soft tissue and bone, vol 5, 4th edn. IARC Press, Lyon
Google Scholar
Fletcher CDM, Unni KK, Mertens F (2002) editors. WHO classification of tumours. Pathology and genetics of tumours of soft tissue and bone. IARC Press, Lyon, France
Google Scholar
Fujiwara T, Matsuzawa T, Kubota K, Abe Y, Itoh M, Fukuda H et al (1989) Relationship between histologic type of primary lung cancer and carbon-11-L methionine uptake with positron emission tomography. J Nucl Med 30:33–37
CAS
PubMed
Google Scholar
Hicks RJ (2005) Functional imaging techniques for evaluation of sarcomas. Cancer Imaging 5:58–65
Article
Google Scholar
Higuchi T, Kawaguchi K, Miyake K, Han Q, Tan Y, Oshiro H et al (2018) Oral recombinant methioninase combined with caffeine and doxorubicin induced regression of a doxorubicin-resistant synovial sarcoma in a PDOX mouse model. Anticancer Res 38:5639–5644
Article
CAS
Google Scholar
Igarashi K, Kawaguchi K, Kiyuna T, Miyake K, Miyaki M, Yamamoto N et al (2018) Metabolic targeting with recombinant methioninase combined with palbociclib regresses a doxorubicin-resistant dedifferentiated liposarcoma. Biochem Biophys Res Commun 506:912–917
Article
CAS
Google Scholar
Inai R, Shinya T, Tada A, Sato S, Fujiwara T, Takeda K et al (2015) Diagnostic value of Thallium-201 scintigraphy in differentiating malignant bone tumors from benign bone lesions. Ann Nucl Med 29:674–681
Article
CAS
Google Scholar
Kanda Y (2013) Investigation of the freely available easy-to-use software 'EZR' for medical statistics. Bone Marrow Transplant 48:452–458. https://doi.org/10.1038/bmt.2012.244
Article
CAS
Google Scholar
Keller S, Inai R, Sato S, Tada A, Adam G, Yamamura J et al (2017) AJR Am J Roentgenol 208:171–179
Article
Google Scholar
Kobayashi H, Kotoura Y, Hosono M, Sakahara H, Hosono M, Yao ZS et al (1995) Diagnostic value of Tc-99 m (V) DMSA for chondrogenic tumors with positive Tc-99 m HMDP uptake on bone scintigraphy. Clin Nucl Med 20:361–364
Article
CAS
Google Scholar
Kwee TC, Basu S, Cheng G, Alavi A (2010) FDG PET/CT in carcinoma of unknown primary. Eur J Nucl Med Mol Imaging 37:635–644. https://doi.org/10.1007/s00259-009-1295-6
Article
PubMed
Google Scholar
Lapela M, Leskinen-Kallio S, Varpula M, Grenman S, Alanen K, Nagren K et al (1994) Imaging of uterine carcinoma by carbon-11-methionine and PET. J Nucl Med 35:1618–1623
CAS
PubMed
Google Scholar
Lim CY, Ong KO et al (2013) Cancer Imaging 13:448–457. https://doi.org/10.1102/1470-7330.2013.0036
Article
PubMed
PubMed Central
Google Scholar
Nakajima R, Abe K, Kondo T, Tanabe K, Sakai S (2016) Clinical role of early dynamic FDG-PET/CT for the evaluation of renal cell carcinoma. Eur Radiol 26:1852–1862
Article
Google Scholar
Nomura Y, Asano Y, Shinoda J, Yano H, Ikegame Y, Kawasaki T et al (2018) Characteristics of time-activity curves obtained from dynamic 11C-methionine PET in common primary brain tumors. J Neuro-Oncol 138:649–658. https://doi.org/10.1007/s11060-018-2834-4
Article
CAS
Google Scholar
Nuutinen J, Leskinen S, Lindholm P, Söderström KO, Någren K, Huhtala S et al (1998) Use of carbon-11 methionine positron emission tomography to assess malignancy grade and predict survival in patients with lymphoma. Eur J Nucl Med 25:729–735
Article
CAS
Google Scholar
Okada Y, Nihashi T, Fujii M, Kato K, Okochi Y, Ando Y et al (2012) Differentiation of newly diagnosed glioblastoma multiforme and intracranial diffuse large B-cell lymphoma using (11)C-methionine and (18)F-FDG PET. Clin Nucl Med 37(9):843–849. https://doi.org/10.1097/RLU.0b013e318262af48
Article
PubMed
Google Scholar
Okazumi S, Dimitrakopoulou-Strauss A, Schwarzbach MH, Straus LG (2009) Quantitative, dynamic 18F-FDG-PET for the evaluation of soft tissue sarcomas: relation to differential diagnosis, tumor grading and prediction of prognosis. Hell J Nucl Med 12:223–228
PubMed
Google Scholar
Raphael B, Hwang S, Lefkowitz RA, Landa J, Sohn M, Panicek DM (2013) Biopsy of suspicious bone lesions in patients with a single known malignancy: prevalence of a second malignancy. AJR Am J Roentgenol 201:1309–1314. https://doi.org/10.2214/AJR.12.10261
Article
PubMed
Google Scholar
Rusten E, Rødal J, Revheim ME, Skretting A, Bruland OS, Malinen E (2013) Quantitative dynamic 18FDG-PET and tracer kinetic analysis of soft tissue sarcomas. Acta Oncol 52:1160–1167
Article
CAS
Google Scholar
Schierz JH, Opfermann T, Steenbeck J, Lopatta E, Settmacher U, Stallmach A et al (2013) Early dynamic 18F-FDG PET to detect hyperperfusion in hepatocellular carcinoma liver lesions. J Nucl Med 54:848–854
Article
CAS
Google Scholar
Shinya T, Otomi Y, Dimitrakopoulou-Strauss A, Kubo M, Kondo M, Otomo M et al (2020) Preliminary clinical assessment of dynamic 18F-fluorodeoxyglucose positron-emission tomography/computed tomography for evaluating the clinicopathological grade in patients with non-Hodgkin’s lymphoma: a prospective study. Nucl Med Commun 41:26–33
Article
Google Scholar
Shinya T, Otomi Y, Kubo M, Kinoshita M, Takechi K, Uyama N et al (2019) Preliminary clinical assessment of dynamic 18F-fluorodeoxyglucose positron emission tomography/computed tomography for evaluating lymph node metastasis in patients with lung cancer: a prospective study. Ann Nucl Med 33:414–423. https://doi.org/10.1007/s12149-019-01350-z
Article
CAS
PubMed
Google Scholar
Shinya T, Sato S, Kunisada T, Inai R, Yanai H, Ozaki T et al (2015) Both a visual and a semiquantitative analysis for differentiating benign from malignant chondrogenic bone tumors using Tc-99 m (V) DMSA scintigraphy: a prospective study. Nucl Med Commun 36:802–807. https://doi.org/10.1097/MNM.0000000000000328
Article
PubMed
Google Scholar
van Waarde A, Jager PL, Ishiwata K, Dierckx RA, Elsinga PH (2006) Comparison of sigma-ligands and metabolic PET tracers for differentiating tumor from inflammation. J Nucl Med 47:150–154
PubMed
Google Scholar
Zhang H, Yoshikawa K, Tamura K, Tomemori T, Sagou K, Tian M et al (2004) [(11)C]methionine positron emission tomography and survival in patients with bone and soft tissue sarcomas treated by carbon ion radiotherapy. Clin Cancer Res 10(5):1764–1772
Article
CAS
Google Scholar
Zhao S, Kuge Y, Yi M, Zhao Y, Hatano T, Magota K et al (2011) Dynamic 11C-methionine PET analysis has an additional value for differentiating malignant tumors from granulomas: an experimental study using small animal PET. Eur J Nucl Med Mol Imaging 38:1876–1886. https://doi.org/10.1007/s00259-011-1865-2
Article
CAS
PubMed
Google Scholar