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Cited by in F6Publishing
For: Lee JW, Hwang SH, Kim DY, Han KH, Yun M. Prognostic Value of FDG Uptake of Portal Vein Tumor Thrombosis in Patients With Locally Advanced Hepatocellular Carcinoma. Clin Nucl Med. 2017;42:e35-e40. [PMID: 27775940 DOI: 10.1097/rlu.0000000000001422] [Cited by in Crossref: 9] [Cited by in F6Publishing: 3] [Article Influence: 1.8] [Reference Citation Analysis]
Number Citing Articles
1 Fidani T, Desmarets G, Goupil J, Pouget JP, Boudousq V. A Recanalized Umbilical Vein Hypermetabolic Thrombosis Mimicked an Hepatocellular Carcinoma Recurrence: A New Pitfall? Clin Nucl Med 2022. [PMID: 35353745 DOI: 10.1097/RLU.0000000000004133] [Reference Citation Analysis]
2 Lee SM, Kim HS, Lee S, Lee JW. Emerging role of 18F-fluorodeoxyglucose positron emission tomography for guiding management of hepatocellular carcinoma. World J Gastroenterol 2019; 25(11): 1289-1306 [PMID: 30918424 DOI: 10.3748/wjg.v25.i11.1289] [Cited by in CrossRef: 23] [Cited by in F6Publishing: 19] [Article Influence: 7.7] [Reference Citation Analysis]
3 Wang C, Zhao K, Hu S, Huang Y, Ma L, Li M, Song Y. The PET-Derived Tumor-to-Liver Standard Uptake Ratio (SUV TLR ) Is Superior to Tumor SUVmax in Predicting Tumor Response and Survival After Chemoradiotherapy in Patients With Locally Advanced Esophageal Cancer. Front Oncol 2020;10:1630. [PMID: 33014819 DOI: 10.3389/fonc.2020.01630] [Cited by in Crossref: 3] [Cited by in F6Publishing: 2] [Article Influence: 1.5] [Reference Citation Analysis]
4 Sung PS, Park HL, Yang K, Hwang S, Song MJ, Jang JW, Choi JY, Yoon SK, Yoo IR, Bae SH. 18F-fluorodeoxyglucose uptake of hepatocellular carcinoma as a prognostic predictor in patients with sorafenib treatment. Eur J Nucl Med Mol Imaging. 2018;45:384-391. [PMID: 29124280 DOI: 10.1007/s00259-017-3871-5] [Cited by in Crossref: 18] [Cited by in F6Publishing: 19] [Article Influence: 3.6] [Reference Citation Analysis]
5 Cannella R, Taibbi A, Porrello G, Dioguardi Burgio M, Cabibbo G, Bartolotta TV. Hepatocellular carcinoma with macrovascular invasion: multimodality imaging features for the diagnosis. Diagn Interv Radiol 2020;26:531-40. [PMID: 32990243 DOI: 10.5152/dir.2020.19569] [Cited by in Crossref: 4] [Article Influence: 2.0] [Reference Citation Analysis]