224 related articles for article (PubMed ID: 35096577)
1. Prediction of Microvascular Invasion and Its M2 Classification in Hepatocellular Carcinoma Based on Nomogram Analyses.
Chen S; Wang C; Gu Y; Ruan R; Yu J; Wang S
Front Oncol; 2021; 11():774800. PubMed ID: 35096577
[TBL] [Abstract][Full Text] [Related]
2. Preoperative prediction of microvascular invasion classification in hepatocellular carcinoma based on clinical features and MRI parameters.
Li MG; Zhang YN; Hu YY; Li L; Lyu HL
Oncol Lett; 2024 Jul; 28(1):310. PubMed ID: 38784602
[TBL] [Abstract][Full Text] [Related]
3. 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]
4. A multidimensional nomogram combining imaging features and clinical factors to predict the invasiveness and metastasis of combined hepatocellular cholangiocarcinoma.
Wang Y; Zhou CW; Zhu GQ; Li N; Qian XL; Chong HH; Yang C; Zeng MS
Ann Transl Med; 2021 Oct; 9(20):1518. PubMed ID: 34790724
[TBL] [Abstract][Full Text] [Related]
5. Risk factors of lymph node metastasis or lymphovascular invasion for superficial esophageal squamous cell carcinoma: A practical and effective predictive nomogram based on a cancer hospital data.
Tao Y; Chen S; Yu J; Shen Q; Ruan R; Wang S
Front Med (Lausanne); 2022; 9():1038097. PubMed ID: 36465939
[TBL] [Abstract][Full Text] [Related]
6. Development and validation of a nomogram combining hematological and imaging features for preoperative prediction of microvascular invasion in hepatocellular carcinoma patients.
Zhou Q; Zhou C; Yin Y; Chen W; Liu C; Atyah M; Weng J; Shen Y; Yi Y; Ren N
Ann Transl Med; 2021 Mar; 9(5):402. PubMed ID: 33842623
[TBL] [Abstract][Full Text] [Related]
7. 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]
8. A model based on adipose and muscle-related indicators evaluated by CT images for predicting microvascular invasion in HCC patients.
Mao XC; Shi S; Yan LJ; Wang HC; Ding ZN; Liu H; Pan GQ; Zhang X; Han CL; Tian BW; Wang DX; Tan SY; Dong ZR; Yan YC; Li T
Biomark Res; 2023 Oct; 11(1):87. PubMed ID: 37794517
[TBL] [Abstract][Full Text] [Related]
9. Integrated Nomograms for Preoperative Prediction of Microvascular Invasion and Lymph Node Metastasis Risk in Hepatocellular Carcinoma Patients.
Yan Y; Zhou Q; Zhang M; Liu H; Lin J; Liu Q; Shi B; Wen K; Chen R; Wang J; Mao K; Xiao Z
Ann Surg Oncol; 2020 May; 27(5):1361-1371. PubMed ID: 31773517
[TBL] [Abstract][Full Text] [Related]
10. Nomogram for Preoperative Estimation of Microvascular Invasion Risk in Hepatitis B Virus-Related Hepatocellular Carcinoma Within the Milan Criteria.
Lei Z; Li J; Wu D; Xia Y; Wang Q; Si A; Wang K; Wan X; Lau WY; Wu M; Shen F
JAMA Surg; 2016 Apr; 151(4):356-63. PubMed ID: 26579636
[TBL] [Abstract][Full Text] [Related]
11. Radiomics nomogram for prediction of microvascular invasion in hepatocellular carcinoma based on MR imaging with Gd-EOB-DTPA.
Zhang S; Duan C; Zhou X; Liu F; Wang X; Shao Q; Gao Y; Duan F; Zhao R; Wang G
Front Oncol; 2022; 12():1034519. PubMed ID: 36387156
[TBL] [Abstract][Full Text] [Related]
12. 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]
13. A novel prognostic nomogram based on microvascular invasion and hematological biomarkers to predict survival outcome for hepatocellular carcinoma patients.
Li X; Huang H; Yu X; Chen P; Ouyang J; Huang B
Surg Oncol; 2020 Jun; 33():51-57. PubMed ID: 32561099
[TBL] [Abstract][Full Text] [Related]
14. Preoperative nomogram for microvascular invasion prediction based on clinical database in hepatocellular carcinoma.
Mao S; Yu X; Yang Y; Shan Y; Mugaanyi J; Wu S; Lu C
Sci Rep; 2021 Jul; 11(1):13999. PubMed ID: 34234239
[TBL] [Abstract][Full Text] [Related]
15. A nomogram to predict microvascular invasion in early hepatocellular carcinoma.
Li H; Li T; Hu J; Liu J
J Cancer Res Ther; 2021 Jul; 17(3):652-657. PubMed ID: 34269295
[TBL] [Abstract][Full Text] [Related]
16. Assessment of an MR Elastography-Based Nomogram as a Potential Imaging Biomarker for Predicting Microvascular Invasion of Hepatocellular Carcinoma.
Gao S; Zhang Y; Sun W; Jin K; Dai Y; Wang F; Qian X; Han J; Sheng R; Zeng M
J Magn Reson Imaging; 2023 Aug; 58(2):392-402. PubMed ID: 36479914
[TBL] [Abstract][Full Text] [Related]
17. Preoperative prediction of microvascular invasion in hepatocellular carcinoma: a radiomic nomogram based on MRI.
Li L; Su Q; Yang H
Clin Radiol; 2022 Apr; 77(4):e269-e279. PubMed ID: 34980458
[TBL] [Abstract][Full Text] [Related]
18. A radiomics nomogram for the prediction of overall survival in patients with hepatocellular carcinoma after hepatectomy.
Liu Q; Li J; Liu F; Yang W; Ding J; Chen W; Wei Y; Li B; Zheng L
Cancer Imaging; 2020 Nov; 20(1):82. PubMed ID: 33198809
[TBL] [Abstract][Full Text] [Related]
19. New Insights Into a Classification-Based Microvascular Invasion Prediction Model in Hepatocellular Carcinoma: A Multicenter Study.
Xu W; Wang Y; Yang Z; Li J; Li R; Liu F
Front Oncol; 2022; 12():796311. PubMed ID: 35433417
[TBL] [Abstract][Full Text] [Related]
20. Predicting the microvascular invasion and tumor grading of intrahepatic mass-forming cholangiocarcinoma based on magnetic resonance imaging radiomics and morphological features.
Chen S; Zhu Y; Wan L; Zou S; Zhang H
Quant Imaging Med Surg; 2023 Dec; 13(12):8079-8093. PubMed ID: 38106327
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
