598 related articles for article (PubMed ID: 33622022)
1. Comparison of MRI and CT for the Prediction of Microvascular Invasion in Solitary Hepatocellular Carcinoma Based on a Non-Radiomics and Radiomics Method: Which Imaging Modality Is Better?
Meng XP; Wang YC; Zhou JY; Yu Q; Lu CQ; Xia C; Tang TY; Xu J; Sun K; Xiao W; Ju S
J Magn Reson Imaging; 2021 Aug; 54(2):526-536. PubMed ID: 33622022
[TBL] [Abstract][Full Text] [Related]
2. 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]
3. 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]
4. 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]
5. Multi-scale and multi-parametric radiomics of gadoxetate disodium-enhanced MRI predicts microvascular invasion and outcome in patients with solitary hepatocellular carcinoma ≤ 5 cm.
Chong HH; Yang L; Sheng RF; Yu YL; Wu DJ; Rao SX; Yang C; Zeng MS
Eur Radiol; 2021 Jul; 31(7):4824-4838. PubMed ID: 33447861
[TBL] [Abstract][Full Text] [Related]
6. Comparison of non-radiomics imaging features and radiomics models based on contrast-enhanced ultrasound and Gd-EOB-DTPA-enhanced MRI for predicting microvascular invasion in hepatocellular carcinoma within 5 cm.
Zheng R; Zhang X; Liu B; Zhang Y; Shen H; Xie X; Li S; Huang G
Eur Radiol; 2023 Sep; 33(9):6462-6472. PubMed ID: 37338553
[TBL] [Abstract][Full Text] [Related]
7. Considerable effects of imaging sequences, feature extraction, feature selection, and classifiers on radiomics-based prediction of microvascular invasion in hepatocellular carcinoma using magnetic resonance imaging.
Dai H; Lu M; Huang B; Tang M; Pang T; Liao B; Cai H; Huang M; Zhou Y; Chen X; Ding H; Feng ST
Quant Imaging Med Surg; 2021 May; 11(5):1836-1853. PubMed ID: 33936969
[TBL] [Abstract][Full Text] [Related]
8. Radiomics Analysis Based on Multiparametric MRI for Predicting Early Recurrence in Hepatocellular Carcinoma After Partial Hepatectomy.
Zhao Y; Wu J; Zhang Q; Hua Z; Qi W; Wang N; Lin T; Sheng L; Cui D; Liu J; Song Q; Li X; Wu T; Guo Y; Cui J; Liu A
J Magn Reson Imaging; 2021 Apr; 53(4):1066-1079. PubMed ID: 33217114
[TBL] [Abstract][Full Text] [Related]
9. Preoperative radiomics nomogram for microvascular invasion prediction in hepatocellular carcinoma using contrast-enhanced CT.
Ma X; Wei J; Gu D; Zhu Y; Feng B; Liang M; Wang S; Zhao X; Tian J
Eur Radiol; 2019 Jul; 29(7):3595-3605. PubMed ID: 30770969
[TBL] [Abstract][Full Text] [Related]
10. Comparison of Conventional Gadoxetate Disodium-Enhanced MRI Features and Radiomics Signatures With Machine Learning for Diagnosing Microvascular Invasion.
Chen Y; Xia Y; Tolat PP; Long L; Jiang Z; Huang Z; Tang Q
AJR Am J Roentgenol; 2021 Jun; 216(6):1510-1520. PubMed ID: 33826360
[No Abstract] [Full Text] [Related]
11. Direct Comparison of Four Presurgical Stratifying Schemes for Prediction of Microvascular Invasion in Hepatocellular Carcinoma by Gadoxetic Acid-Enhanced MRI.
Sun SW; Liu QP; Xu X; Zhu FP; Zhang YD; Liu XS
J Magn Reson Imaging; 2020 Aug; 52(2):433-447. PubMed ID: 31943465
[TBL] [Abstract][Full Text] [Related]
12. A Nomogram of Magnetic Resonance Imaging for Preoperative Assessment of Microvascular Invasion and Prognosis of Hepatocellular Carcinoma.
Wang L; Zhang Y; Li J; Guo S; Ren J; Li Z; Zhuang X; Xue J; Lei J
Dig Dis Sci; 2023 Dec; 68(12):4521-4535. PubMed ID: 37794295
[TBL] [Abstract][Full Text] [Related]
13. 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]
14. 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]
15. 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]
16. Dynamic radiomics based on contrast-enhanced MRI for predicting microvascular invasion in hepatocellular carcinoma.
Zhang R; Wang Y; Li Z; Shi Y; Yu D; Huang Q; Chen F; Xiao W; Hong Y; Feng Z
BMC Med Imaging; 2024 Apr; 24(1):80. PubMed ID: 38584254
[TBL] [Abstract][Full Text] [Related]
17. Multiparametric MRI-based radiomics for the prediction of microvascular invasion in hepatocellular carcinoma.
Jiang T; He S; Yang H; Dong Y; Yu T; Luo Y; Jiang X
Acta Radiol; 2023 Feb; 64(2):456-466. PubMed ID: 35354318
[TBL] [Abstract][Full Text] [Related]
18. [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]
19. Prediction of Microvascular Invasion in Solitary AFP-Negative Hepatocellular Carcinoma ≤ 5 cm Using a Combination of Imaging Features and Quantitative Dual-Layer Spectral-Detector CT Parameters.
Zhu Y; Feng B; Cai W; Wang B; Meng X; Wang S; Ma X; Zhao X
Acad Radiol; 2023 Sep; 30 Suppl 1():S104-S116. PubMed ID: 36958989
[TBL] [Abstract][Full Text] [Related]
20. Added value of CE-CT radiomics to predict high Ki-67 expression in hepatocellular carcinoma.
Zhao YM; Xie SS; Wang J; Zhang YM; Li WC; Ye ZX; Shen W
BMC Med Imaging; 2023 Sep; 23(1):138. PubMed ID: 37737166
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
