151 related articles for article (PubMed ID: 37365115)
21. Preoperative clinical-radiomics nomogram for microvascular invasion prediction in hepatocellular carcinoma using [Formula: see text]F-FDG PET/CT.
Wang Y; Luo S; Jin G; Fu R; Yu Z; Zhang J
BMC Med Imaging; 2022 Apr; 22(1):70. PubMed ID: 35428272
[TBL] [Abstract][Full Text] [Related]
22. Use of radiomics based on
Zhou Y; Ma XL; Zhang T; Wang J; Zhang T; Tian R
Eur J Nucl Med Mol Imaging; 2021 Aug; 48(9):2904-2913. PubMed ID: 33547553
[TBL] [Abstract][Full Text] [Related]
23. Usefulness of
Yokose T; Kitago M; Matsusaka Y; Masugi Y; Shinoda M; Yagi H; Abe Y; Oshima G; Hori S; Endo Y; Toyama K; Iwabuchi Y; Takemura R; Ishii R; Nakahara T; Okuda S; Jinzaki M; Kitagawa Y
Cancer Med; 2020 Jun; 9(12):4059-4068. PubMed ID: 32281301
[TBL] [Abstract][Full Text] [Related]
24. Post-neoadjuvant treatment pancreatic cancer resectability and outcome prediction using CT,
Yoo J; Lee JM; Joo I; Lee DH; Yoon JH; Yu MH; Jang JY; Lee SH
Cancer Imaging; 2023 May; 23(1):49. PubMed ID: 37217958
[TBL] [Abstract][Full Text] [Related]
25. Comparison of MRI and CT-based radiomics for preoperative prediction of lymph node metastasis in pancreatic ductal adenocarcinoma.
Zeng P; Qu C; Liu J; Cui J; Liu X; Xiu D; Yuan H
Acta Radiol; 2023 Jul; 64(7):2221-2228. PubMed ID: 36474439
[TBL] [Abstract][Full Text] [Related]
26. Prediction of local recurrence and distant metastasis using radiomics analysis of pretreatment nasopharyngeal [18F]FDG PET/CT images.
Peng L; Hong X; Yuan Q; Lu L; Wang Q; Chen W
Ann Nucl Med; 2021 Apr; 35(4):458-468. PubMed ID: 33543393
[TBL] [Abstract][Full Text] [Related]
27. Intratumoral heterogeneity of (18)F-FDG uptake predicts survival in patients with pancreatic ductal adenocarcinoma.
Hyun SH; Kim HS; Choi SH; Choi DW; Lee JK; Lee KH; Park JO; Lee KH; Kim BT; Choi JY
Eur J Nucl Med Mol Imaging; 2016 Jul; 43(8):1461-8. PubMed ID: 26872788
[TBL] [Abstract][Full Text] [Related]
28. Multimodality radiomics analysis based on [
Xu H; Lv W; Zhang H; Yuan Q; Wang Q; Wu Y; Lu L
Eur Radiol; 2023 Oct; 33(10):6677-6688. PubMed ID: 37060444
[TBL] [Abstract][Full Text] [Related]
29. Heterogeneity index evaluated by slope of linear regression on
Kim YI; Kim YJ; Paeng JC; Cheon GJ; Lee DS; Chung JK; Kang KW
Eur J Nucl Med Mol Imaging; 2017 Nov; 44(12):1995-2003. PubMed ID: 28634684
[TBL] [Abstract][Full Text] [Related]
30. CT radiomics analysis of lung cancers: Differentiation of squamous cell carcinoma from adenocarcinoma, a correlative study with FDG uptake.
Tomori Y; Yamashiro T; Tomita H; Tsubakimoto M; Ishigami K; Atsumi E; Murayama S
Eur J Radiol; 2020 Jul; 128():109032. PubMed ID: 32361604
[TBL] [Abstract][Full Text] [Related]
31.
Su W; Zhao S; Chen Y; Zuo C; Cui B; Wang M; Ren F
Abdom Radiol (NY); 2020 Mar; 45(3):743-749. PubMed ID: 31907569
[TBL] [Abstract][Full Text] [Related]
32. Radiomics nomogram for the preoperative prediction of lymph node metastasis in pancreatic ductal adenocarcinoma.
Bian Y; Guo S; Jiang H; Gao S; Shao C; Cao K; Fang X; Li J; Wang L; Ma C; Zheng J; Jin G; Lu J
Cancer Imaging; 2022 Jan; 22(1):4. PubMed ID: 34991733
[TBL] [Abstract][Full Text] [Related]
33. A different perspective on
Vural Topuz Ö; Aksu A; Yılmaz Özgüven MB
Rev Esp Med Nucl Imagen Mol (Engl Ed); 2023; 42(6):359-366. PubMed ID: 37088299
[TBL] [Abstract][Full Text] [Related]
34. PET/CT-based radiomics of mass-forming intrahepatic cholangiocarcinoma improves prediction of pathology data and survival.
Fiz F; Masci C; Costa G; Sollini M; Chiti A; Ieva F; Torzilli G; Viganò L
Eur J Nucl Med Mol Imaging; 2022 Aug; 49(10):3387-3400. PubMed ID: 35347437
[TBL] [Abstract][Full Text] [Related]
35. Potential feature exploration and model development based on 18F-FDG PET/CT images for differentiating benign and malignant lung lesions.
Zhang R; Zhu L; Cai Z; Jiang W; Li J; Yang C; Yu C; Jiang B; Wang W; Xu W; Chai X; Zhang X; Tang Y
Eur J Radiol; 2019 Dec; 121():108735. PubMed ID: 31733432
[TBL] [Abstract][Full Text] [Related]
36. Metabolic tumour burden assessed by ¹⁸F-FDG PET/CT associated with serum CA19-9 predicts pancreatic cancer outcome after resection.
Xu HX; Chen T; Wang WQ; Wu CT; Liu C; Long J; Xu J; Zhang YJ; Chen RH; Liu L; Yu XJ
Eur J Nucl Med Mol Imaging; 2014 Jun; 41(6):1093-102. PubMed ID: 24522797
[TBL] [Abstract][Full Text] [Related]
37. Preoperative Fluorine 18 Fluorodeoxyglucose Positron Emission Tomography/Computed Tomography for Prediction of Microvascular Invasion in Small Hepatocellular Carcinoma.
Kobayashi T; Aikata H; Honda F; Nakano N; Nakamura Y; Hatooka M; Morio K; Morio R; Fukuhara T; Masaki K; Nagaoki Y; Kawaoka T; Tsuge M; Hiramatsu A; Imamura M; Kawakami Y; Ohdan H; Awai K; Chayama K
J Comput Assist Tomogr; 2016; 40(4):524-30. PubMed ID: 26966955
[TBL] [Abstract][Full Text] [Related]
38. Dual tracer 68Ga-DOTATOC and 18F-FDG PET/computed tomography radiomics in pancreatic neuroendocrine neoplasms: an endearing tool for preoperative risk assessment.
Mapelli P; Partelli S; Salgarello M; Doraku J; Pasetto S; Rancoita PMV; Muffatti F; Bettinardi V; Presotto L; Andreasi V; Gianolli L; Picchio M; Falconi M
Nucl Med Commun; 2020 Sep; 41(9):896-905. PubMed ID: 32796478
[TBL] [Abstract][Full Text] [Related]
39. TKTL1 as a Prognostic Marker in Pancreatic Ductal Adenocarcinoma and Its Correlation with FDG-PET-CT.
Ahopelto K; Saukkonen K; Hagström J; Kauhanen S; Seppänen H; Böckelman C; Haglund C
Oncology; 2021; 99(3):177-185. PubMed ID: 33120381
[TBL] [Abstract][Full Text] [Related]
40. Radiomics model-based algorithm for preoperative prediction of pancreatic ductal adenocarcinoma grade.
Tikhonova VS; Karmazanovsky GG; Kondratyev EV; Gruzdev IS; Mikhaylyuk KA; Sinelnikov MY; Revishvili AS
Eur Radiol; 2023 Feb; 33(2):1152-1161. PubMed ID: 35986774
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
