113 related articles for article (PubMed ID: 37650185)
21.
Zhang L; Zhao H; Jiang H; Zhao H; Han W; Wang M; Fu P
Abdom Radiol (NY); 2021 Dec; 46(12):5618-5628. PubMed ID: 34455450
[TBL] [Abstract][Full Text] [Related]
22. The Association Between PD-L1 Expression and the Clinical Outcomes to Vascular Endothelial Growth Factor-Targeted Therapy in Patients With Metastatic Clear Cell Renal Cell Carcinoma.
Shin SJ; Jeon YK; Cho YM; Lee JL; Chung DH; Park JY; Go H
Oncologist; 2015 Nov; 20(11):1253-60. PubMed ID: 26424759
[TBL] [Abstract][Full Text] [Related]
23. Assessment of response to tyrosine kinase inhibitors in metastatic renal cell cancer: CT texture as a predictive biomarker.
Goh V; Ganeshan B; Nathan P; Juttla JK; Vinayan A; Miles KA
Radiology; 2011 Oct; 261(1):165-71. PubMed ID: 21813743
[TBL] [Abstract][Full Text] [Related]
24. The value of quantitative CT texture analysis in differentiation of angiomyolipoma without visible fat from clear cell renal cell carcinoma on four-phase contrast-enhanced CT images.
You MW; Kim N; Choi HJ
Clin Radiol; 2019 Jul; 74(7):547-554. PubMed ID: 31010583
[TBL] [Abstract][Full Text] [Related]
25. Pre-Immunotherapy Contrast-Enhanced CT Texture-Based Classification: A Useful Approach to Non-Small Cell Lung Cancer Immunotherapy Efficacy Prediction.
Shen L; Fu H; Tao G; Liu X; Yuan Z; Ye X
Front Oncol; 2021; 11():591106. PubMed ID: 33968716
[No Abstract] [Full Text] [Related]
26. Application and Clinical Value of Machine Learning-Based Cervical Cancer Diagnosis and Prediction Model in Adjuvant Chemotherapy for Cervical Cancer: A Single-Center, Controlled, Non-Arbitrary Size Case-Control Study.
Wang Y; Shen L; Jin J; Wang G
Contrast Media Mol Imaging; 2022; 2022():2432291. PubMed ID: 35821886
[TBL] [Abstract][Full Text] [Related]
27. Radiomics, Tumor Volume, and Blood Biomarkers for Early Prediction of Pseudoprogression in Patients with Metastatic Melanoma Treated with Immune Checkpoint Inhibition.
Basler L; Gabryś HS; Hogan SA; Pavic M; Bogowicz M; Vuong D; Tanadini-Lang S; Förster R; Kudura K; Huellner MW; Dummer R; Guckenberger M; Levesque MP
Clin Cancer Res; 2020 Aug; 26(16):4414-4425. PubMed ID: 32253232
[TBL] [Abstract][Full Text] [Related]
28. Development of machine learning models integrating PET/CT radiomic and immunohistochemical pathomic features for treatment strategy choice of cervical cancer with negative pelvic lymph node by mediating COX-2 expression.
Zhang Z; Li X; Sun H
Front Physiol; 2022; 13():994304. PubMed ID: 36311222
[No Abstract] [Full Text] [Related]
29. Radiogenomics in Clear Cell Renal Cell Carcinoma: Machine Learning-Based High-Dimensional Quantitative CT Texture Analysis in Predicting PBRM1 Mutation Status.
Kocak B; Durmaz ES; Ates E; Ulusan MB
AJR Am J Roentgenol; 2019 Mar; 212(3):W55-W63. PubMed ID: 30601030
[TBL] [Abstract][Full Text] [Related]
30. Radiomics study for predicting the expression of PD-L1 in non-small cell lung cancer based on CT images and clinicopathologic features.
Sun Z; Hu S; Ge Y; Wang J; Duan S; Song J; Hu C; Li Y
J Xray Sci Technol; 2020; 28(3):449-459. PubMed ID: 32176676
[TBL] [Abstract][Full Text] [Related]
31. Computed Tomography-Based Texture Features for the Risk Stratification of Portal Hypertension and Prediction of Survival in Patients With Cirrhosis: A Preliminary Study.
Wan S; Wei Y; Zhang X; Yang C; Hu F; Song B
Front Med (Lausanne); 2022; 9():863596. PubMed ID: 35433759
[TBL] [Abstract][Full Text] [Related]
32. Deep feature classification of angiomyolipoma without visible fat and renal cell carcinoma in abdominal contrast-enhanced CT images with texture image patches and hand-crafted feature concatenation.
Lee H; Hong H; Kim J; Jung DC
Med Phys; 2018 Apr; 45(4):1550-1561. PubMed ID: 29474742
[TBL] [Abstract][Full Text] [Related]
33. Influence of segmentation margin on machine learning-based high-dimensional quantitative CT texture analysis: a reproducibility study on renal clear cell carcinomas.
Kocak B; Ates E; Durmaz ES; Ulusan MB; Kilickesmez O
Eur Radiol; 2019 Sep; 29(9):4765-4775. PubMed ID: 30747300
[TBL] [Abstract][Full Text] [Related]
34. CT-based multi-phase Radiomic models for differentiating clear cell renal cell carcinoma.
Chen M; Yin F; Yu Y; Zhang H; Wen G
Cancer Imaging; 2021 Jun; 21(1):42. PubMed ID: 34162442
[TBL] [Abstract][Full Text] [Related]
35. Machine learning-based unenhanced CT texture analysis for predicting BAP1 mutation status of clear cell renal cell carcinomas.
Kocak B; Durmaz ES; Kaya OK; Kilickesmez O
Acta Radiol; 2020 Jun; 61(6):856-864. PubMed ID: 31635476
[TBL] [Abstract][Full Text] [Related]
36. Response prediction of hepatocellular carcinoma undergoing transcatheter arterial chemoembolization: unlocking the potential of CT texture analysis through nested decision tree models.
Vosshenrich J; Zech CJ; Heye T; Boldanova T; Fucile G; Wieland S; Heim MH; Boll DT
Eur Radiol; 2021 Jun; 31(6):4367-4376. PubMed ID: 33274405
[TBL] [Abstract][Full Text] [Related]
37. A New Signature That Predicts Progression-Free Survival of Clear Cell Renal Cell Carcinoma with Anti-PD-1 Therapy.
Lin J; Cai Y; Ma Y; Pan J; Wang Z; Zhang J; Liu Y; Zhao Z
Int J Mol Sci; 2023 Mar; 24(6):. PubMed ID: 36982415
[TBL] [Abstract][Full Text] [Related]
38. Noninvasive Fuhrman grading of clear cell renal cell carcinoma using computed tomography radiomic features and machine learning.
Nazari M; Shiri I; Hajianfar G; Oveisi N; Abdollahi H; Deevband MR; Oveisi M; Zaidi H
Radiol Med; 2020 Aug; 125(8):754-762. PubMed ID: 32193870
[TBL] [Abstract][Full Text] [Related]
39. [Predicting postoperative recurrence of stage Ⅰ-Ⅲ renal clear cell carcinoma based on preoperative CT radiomics feature nomogram].
Zhang H; Yin F; Chen M; Qi A; Yang L; Cui W; Yang S; Wen G
Nan Fang Yi Ke Da Xue Xue Bao; 2021 Aug; 41(9):1358-1365. PubMed ID: 34658350
[TBL] [Abstract][Full Text] [Related]
40. Quantitative CT texture analysis in predicting PD-L1 expression in locally advanced or metastatic NSCLC patients.
Bracci S; Dolciami M; Trobiani C; Izzo A; Pernazza A; D'Amati G; Manganaro L; Ricci P
Radiol Med; 2021 Nov; 126(11):1425-1433. PubMed ID: 34373989
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
