256 related articles for article (PubMed ID: 36786905)
1. Deep learning nomogram based on Gd-EOB-DTPA MRI for predicting early recurrence in hepatocellular carcinoma after hepatectomy.
Yan M; Zhang X; Zhang B; Geng Z; Xie C; Yang W; Zhang S; Qi Z; Lin T; Ke Q; Li X; Wang S; Quan X
Eur Radiol; 2023 Jul; 33(7):4949-4961. PubMed ID: 36786905
[TBL] [Abstract][Full Text] [Related]
2. Evaluation and Prognostication of Gd-EOB-DTPA MRI and CT in Patients With Macrotrabecular-Massive Hepatocellular Carcinoma.
Cheng J; Li X; Wang L; Chen F; Li Y; Zuo G; Pei M; Zhang H; Yu L; Liu C; Wang J; Han Q; Cai P; Li X
J Magn Reson Imaging; 2024 Jun; 59(6):2071-2081. PubMed ID: 37840197
[TBL] [Abstract][Full Text] [Related]
3. Radiomic Analysis Based on Gd-EOB-DTPA Enhanced MRI for the Preoperative Prediction of Ki-67 Expression in Hepatocellular Carcinoma.
Yan Y; Lin XS; Ming WZ; Chuan ZQ; Hui G; Juan SY; Shuang W; Yang Fan LV; Dong Z
Acad Radiol; 2024 Mar; 31(3):859-869. PubMed ID: 37689559
[TBL] [Abstract][Full Text] [Related]
4. A model incorporating histopathology and preoperative gadoxetic acid-enhanced MRI to predict early recurrence of hepatocellular carcinoma without microvascular invasion after curative hepatectomy.
Qu Q; Lu M; Xu L; Zhang J; Liu M; Jiang J; Zhao X; Zhang X; Zhang T
Br J Radiol; 2023 Mar; 96(1144):20220739. PubMed ID: 36877238
[TBL] [Abstract][Full Text] [Related]
5. Prediction of vessels encapsulating tumor clusters pattern and prognosis of hepatocellular carcinoma based on preoperative gadolinium-ethoxybenzyl-diethylenetriaminepentaacetic acid magnetic resonance imaging.
Wang M; Cao L; Wang Y; Huang H; Cao S; Tian X; Lei J
J Gastrointest Surg; 2024 Apr; 28(4):442-450. PubMed ID: 38583894
[TBL] [Abstract][Full Text] [Related]
6. Magnetic Resonance Deep Learning Radiomic Model Based on Distinct Metastatic Vascular Patterns for Evaluating Recurrence-Free Survival in Hepatocellular Carcinoma.
Zhang C; Ma LD; Zhang XL; Lei C; Yuan SS; Li JP; Geng ZJ; Li XM; Quan XY; Zheng C; Geng YY; Zhang J; Zheng QL; Hou J; Xie SY; Lu LH; Xie CM
J Magn Reson Imaging; 2024 Jul; 60(1):231-242. PubMed ID: 37888871
[TBL] [Abstract][Full Text] [Related]
7. Clinical prediction of microvascular invasion in hepatocellular carcinoma using an MRI-based graph convolutional network model integrated with nomogram.
Liu Y; Zhang Z; Zhang H; Wang X; Wang K; Yang R; Han P; Luan K; Zhou Y
Br J Radiol; 2024 May; 97(1157):938-946. PubMed ID: 38552308
[TBL] [Abstract][Full Text] [Related]
8. A novel nomogram for predicting microvascular invasion in hepatocellular carcinoma.
Chang Y; Guo T; Zhu B; Liu Y
Ann Hepatol; 2023; 28(6):101136. PubMed ID: 37479060
[TBL] [Abstract][Full Text] [Related]
9. Predicting microvascular invasion in hepatocellular carcinoma with a CT- and MRI-based multimodal deep learning model.
Lei Y; Feng B; Wan M; Xu K; Cui J; Ma C; Sun J; Yao C; Gan S; Shi J; Cui E
Abdom Radiol (NY); 2024 May; 49(5):1397-1410. PubMed ID: 38433144
[TBL] [Abstract][Full Text] [Related]
10. Preoperative evaluation of microvascular invasion in hepatocellular carcinoma with a radiological feature-based nomogram: a bi-centre study.
Deng Y; Yang D; Tan X; Xu H; Xu L; Ren A; Liu P; Yang Z
BMC Med Imaging; 2024 Jan; 24(1):29. PubMed ID: 38281008
[TBL] [Abstract][Full Text] [Related]
11. A Dynamic Online Nomogram Based on Gd-EOB-DTPA-Enhanced MRI and Inflammatory Biomarkers for Preoperative Prediction of Pathological Grade and Stratification in Solitary Hepatocellular Carcinoma: A Multicenter Study.
Wang F; Qin Y; Wang ZM; Yan CY; He Y; Liu D; Wen L; Zhang D
Acad Radiol; 2024 Mar; ():. PubMed ID: 38494348
[TBL] [Abstract][Full Text] [Related]
12. Multitask deep learning for prediction of microvascular invasion and recurrence-free survival in hepatocellular carcinoma based on MRI images.
Wang F; Zhan G; Chen QQ; Xu HY; Cao D; Zhang YY; Li YH; Zhang CJ; Jin Y; Ji WB; Ma JB; Yang YJ; Zhou W; Peng ZY; Liang X; Deng LP; Lin LF; Chen YW; Hu HJ
Liver Int; 2024 Jun; 44(6):1351-1362. PubMed ID: 38436551
[TBL] [Abstract][Full Text] [Related]
13. Pre-operative enhanced magnetic resonance imaging combined with clinical features predict early recurrence of hepatocellular carcinoma after radical resection.
Chen JP; Yang RH; Zhang TH; Liao LA; Guan YT; Dai HY
World J Gastrointest Oncol; 2024 Apr; 16(4):1192-1203. PubMed ID: 38660657
[TBL] [Abstract][Full Text] [Related]
14. Deep Learning Model for Predicting Proliferative Hepatocellular Carcinoma Using Dynamic Contrast-Enhanced MRI: Implications for Early Recurrence Prediction Following Radical Resection.
Qu H; Zhang S; Guo M; Miao Y; Han Y; Ju R; Cui X; Li Y
Acad Radiol; 2024 May; ():. PubMed ID: 38749868
[TBL] [Abstract][Full Text] [Related]
15. MRI radiomics based on deep learning automated segmentation to predict early recurrence of hepatocellular carcinoma.
Wei H; Zheng T; Zhang X; Wu Y; Chen Y; Zheng C; Jiang D; Wu B; Guo H; Jiang H; Song B
Insights Imaging; 2024 May; 15(1):120. PubMed ID: 38763975
[TBL] [Abstract][Full Text] [Related]
16. Computed tomography-based radiomics to predict early recurrence of hepatocellular carcinoma post-hepatectomy in patients background on cirrhosis.
Qian GX; Xu ZL; Li YH; Lu JL; Bu XY; Wei MT; Jia WD
World J Gastroenterol; 2024 Apr; 30(15):2128-2142. PubMed ID: 38681988
[TBL] [Abstract][Full Text] [Related]
17. Predicting Ki-67 expression in hepatocellular carcinoma: nomogram based on clinical factors and contrast-enhanced ultrasound radiomics signatures.
Zhang D; Zhang XY; Lu WW; Liao JT; Zhang CX; Tang Q; Cui XW
Abdom Radiol (NY); 2024 May; 49(5):1419-1431. PubMed ID: 38461433
[TBL] [Abstract][Full Text] [Related]
18. Prediction of recurrence risk factors in patients with early-stage cervical cancers by nomogram based on MRI handcrafted radiomics features and deep learning features: a dual-center study.
Zhang Y; Wu C; Du J; Xiao Z; Lv F; Liu Y
Abdom Radiol (NY); 2024 Jan; 49(1):258-270. PubMed ID: 37987856
[TBL] [Abstract][Full Text] [Related]
19. 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]
20. Development and Validation of a Nomogram for Predicting Postoperative Early Relapse and Survival in Hepatocellular Carcinoma.
He Y; Luo L; Shan R; Qian J; Cui L; Wu Z; Tu S; Zhang W; Lin W; Tang H; Huang Z; Li Z; Mao S; Li H; Hu Z; Liu L; Shen W; He K; Li Y
J Natl Compr Canc Netw; 2023 Dec; 22(1D):e237069. PubMed ID: 38118280
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
