134 related articles for article (PubMed ID: 38664142)
21. Prediction of preoperative microvascular invasion by dynamic radiomic analysis based on contrast-enhanced computed tomography.
Zhou Z; Xia T; Zhang T; Du M; Zhong J; Huang Y; Xuan K; Xu G; Wan Z; Ju S; Xu J
Abdom Radiol (NY); 2024 Feb; 49(2):611-624. PubMed ID: 38051358
[TBL] [Abstract][Full Text] [Related]
22. A meta-analysis of based radiomics for predicting lymph node metastasis in patients with biliary tract cancers.
Ma Y; Lin Y; Lu J; He Y; Shi Q; Liu H; Li J; Zhang B; Zhang J; Zhang Y; Yue P; Meng W; Li X
Front Surg; 2022; 9():1045295. PubMed ID: 36684162
[TBL] [Abstract][Full Text] [Related]
23. MRI radiomics for the preoperative evaluation of lymphovascular invasion in breast cancer: A meta-analysis.
Ma Q; Li Z; Li W; Chen Q; Liu X; Feng W; Lei J
Eur J Radiol; 2023 Nov; 168():111127. PubMed ID: 37801997
[TBL] [Abstract][Full Text] [Related]
24. Influence of different region of interest sizes on CT-based radiomics model for microvascular invasion prediction in hepatocellular carcinoma.
Zhao H; Feng Z; Li H; Yao S; Zheng W; Rong P
Zhong Nan Da Xue Xue Bao Yi Xue Ban; 2022 Aug; 47(8):1049-1057. PubMed ID: 36097772
[TBL] [Abstract][Full Text] [Related]
25. Radiomics and nomogram of magnetic resonance imaging for preoperative prediction of microvascular invasion in small hepatocellular carcinoma.
Chen YD; Zhang L; Zhou ZP; Lin B; Jiang ZJ; Tang C; Dang YW; Xia YW; Song B; Long LL
World J Gastroenterol; 2022 Aug; 28(31):4399-4416. PubMed ID: 36159011
[TBL] [Abstract][Full Text] [Related]
26. Prediction of microvascular invasion in solitary hepatocellular carcinoma ≤ 5 cm based on computed tomography radiomics.
Liu P; Tan XZ; Zhang T; Gu QB; Mao XH; Li YC; He YQ
World J Gastroenterol; 2021 May; 27(17):2015-2024. PubMed ID: 34007136
[TBL] [Abstract][Full Text] [Related]
27. MRI-Based Radiomics Methods for Predicting Ki-67 Expression in Breast Cancer: A Systematic Review and Meta-analysis.
Tabnak P; HajiEsmailPoor Z; Baradaran B; Pashazadeh F; Aghebati Maleki L
Acad Radiol; 2024 Mar; 31(3):763-787. PubMed ID: 37925343
[TBL] [Abstract][Full Text] [Related]
28. Predicting microvascular invasion in small (≤ 5 cm) hepatocellular carcinomas using radiomics-based peritumoral analysis.
Wang F; Cheng M; Du B; Li J; Li L; Huang W; Gao J
Insights Imaging; 2024 Mar; 15(1):90. PubMed ID: 38530498
[TBL] [Abstract][Full Text] [Related]
29. Development of a magnetic resonance imaging-derived radiomics model to predict microvascular invasion in patients with hepatocellular carcinoma.
Liu J; Cheng D; Liao Y; Luo C; Lei Q; Zhang X; Wang L; Wen Z; Gao M
Quant Imaging Med Surg; 2023 Jun; 13(6):3948-3961. PubMed ID: 37284095
[TBL] [Abstract][Full Text] [Related]
30. Preoperative Evaluation of Gd-EOB-DTPA-Enhanced MRI Radiomics-Based Nomogram in Small Solitary Hepatocellular Carcinoma (≤3 cm) With Microvascular Invasion: A Two-Center Study.
Tian Y; Hua H; Peng Q; Zhang Z; Wang X; Han J; Ma W; Chen J
J Magn Reson Imaging; 2022 Nov; 56(5):1459-1472. PubMed ID: 35298849
[TBL] [Abstract][Full Text] [Related]
31. Radiomic analysis of contrast-enhanced CT predicts microvascular invasion and outcome in hepatocellular carcinoma.
Xu X; Zhang HL; Liu QP; Sun SW; Zhang J; Zhu FP; Yang G; Yan X; Zhang YD; Liu XS
J Hepatol; 2019 Jun; 70(6):1133-1144. PubMed ID: 30876945
[TBL] [Abstract][Full Text] [Related]
32. MRI-based clinical-radiomics nomogram model for predicting microvascular invasion in hepatocellular carcinoma.
Wang Q; Zhou Y; Yang H; Zhang J; Zeng X; Tan Y
Med Phys; 2024 Apr; ():. PubMed ID: 38642400
[TBL] [Abstract][Full Text] [Related]
33. Preoperative prediction of microvascular invasion in hepatocellular cancer: a radiomics model using Gd-EOB-DTPA-enhanced MRI.
Feng ST; Jia Y; Liao B; Huang B; Zhou Q; Li X; Wei K; Chen L; Li B; Wang W; Chen S; He X; Wang H; Peng S; Chen ZB; Tang M; Chen Z; Hou Y; Peng Z; Kuang M
Eur Radiol; 2019 Sep; 29(9):4648-4659. PubMed ID: 30689032
[TBL] [Abstract][Full Text] [Related]
34.
Jiang C; Zhao L; Xin B; Ma G; Wang X; Song S
Quant Imaging Med Surg; 2022 Aug; 12(8):4135-4150. PubMed ID: 35919043
[TBL] [Abstract][Full Text] [Related]
35. Is Gadoxetic Acid Disodium (Gd-EOB-DTPA)-Enhanced Magnetic Resonance Imaging an Accurate Diagnostic Method for Hepatocellular Carcinoma? A Systematic Review with Meta-Analysis.
Yinzhong W; Xiaoxue T; Jinhui T; Pengcheng Y; Xiaoying L; Junqiang L
Curr Med Imaging; 2022; 18(6):633-647. PubMed ID: 34533447
[TBL] [Abstract][Full Text] [Related]
36. MRI-based radiomic models for the preoperative prediction of extramural venous invasion in rectal cancer: A systematic review and meta-analysis.
Liang Y; Wei Y; Xu F; Wei X
Clin Imaging; 2024 Jun; 110():110146. PubMed ID: 38697000
[TBL] [Abstract][Full Text] [Related]
37. Diagnostic test accuracies of F-18 FDG PET/CT for prediction of microvascular invasion of hepatocellular carcinoma: A meta-analysis.
Kim K; Kim SJ
Clin Imaging; 2021 Nov; 79():251-258. PubMed ID: 34157501
[TBL] [Abstract][Full Text] [Related]
38. Diagnostic Accuracy of the Apparent Diffusion Coefficient for Microvascular Invasion in Hepatocellular Carcinoma: A Meta-analysis.
Deng Y; Li J; Xu H; Ren A; Wang Z; Yang D; Yang Z
J Clin Transl Hepatol; 2022 Aug; 10(4):642-650. PubMed ID: 36062283
[TBL] [Abstract][Full Text] [Related]
39. Diagnostic performance of radiomics in predicting axillary lymph node metastasis in breast cancer: A systematic review and meta-analysis.
Gong X; Guo Y; Zhu T; Peng X; Xing D; Zhang M
Front Oncol; 2022; 12():1046005. PubMed ID: 36518318
[TBL] [Abstract][Full Text] [Related]
40. [Value of the application of enhanced CT radiomics and machine learning in preoperative prediction of microvascular invasion in hepatocellular carcinoma].
Yu YX; Hu CH; Wang XM; Fan YF; Hu MJ; Shi C; Hu S; Zhu M; Zhang Y
Zhonghua Yi Xue Za Zhi; 2021 May; 101(17):1239-1245. PubMed ID: 34865392
[No Abstract] [Full Text] [Related]
[Previous] [Next] [New Search]