134 related articles for article (PubMed ID: 33077705)
1. Use of Radiomics to Predict Response to Immunotherapy of Malignant Tumors of the Digestive System.
Ji Z; Cui Y; Peng Z; Gong J; Zhu HT; Zhang X; Li J; Lu M; Lu Z; Shen L; Sun YS
Med Sci Monit; 2020 Oct; 26():e924671. PubMed ID: 33077705
[TBL] [Abstract][Full Text] [Related]
2. Preliminary Report on Computed Tomography Radiomics Features as Biomarkers to Immunotherapy Selection in Lung Adenocarcinoma Patients.
Granata V; Fusco R; Costa M; Picone C; Cozzi D; Moroni C; La Casella GV; Montanino A; Monti R; Mazzoni F; Grassi R; Malagnino VG; Cappabianca S; Grassi R; Miele V; Petrillo A
Cancers (Basel); 2021 Aug; 13(16):. PubMed ID: 34439148
[TBL] [Abstract][Full Text] [Related]
3. Hyperprogression after immunotherapy in patients with malignant tumors of digestive system.
Ji Z; Peng Z; Gong J; Zhang X; Li J; Lu M; Lu Z; Shen L
BMC Cancer; 2019 Jul; 19(1):705. PubMed ID: 31315610
[TBL] [Abstract][Full Text] [Related]
4. Preoperative diagnosis of malignant pulmonary nodules in lung cancer screening with a radiomics nomogram.
Liu A; Wang Z; Yang Y; Wang J; Dai X; Wang L; Lu Y; Xue F
Cancer Commun (Lond); 2020 Jan; 40(1):16-24. PubMed ID: 32125097
[TBL] [Abstract][Full Text] [Related]
5. Radiomics analysis of dual-energy CT-derived iodine maps for diagnosing metastatic cervical lymph nodes in patients with papillary thyroid cancer.
Zhou Y; Su GY; Hu H; Ge YQ; Si Y; Shen MP; Xu XQ; Wu FY
Eur Radiol; 2020 Nov; 30(11):6251-6262. PubMed ID: 32500193
[TBL] [Abstract][Full Text] [Related]
6. Pilot Study of CT-Based Radiomics Model for Early Evaluation of Response to Immunotherapy in Patients With Metastatic Melanoma.
Wang ZL; Mao LL; Zhou ZG; Si L; Zhu HT; Chen X; Zhou MJ; Sun YS; Guo J
Front Oncol; 2020; 10():1524. PubMed ID: 32984000
[No Abstract] [Full Text] [Related]
7. Radiomics to predict immunotherapy-induced pneumonitis: proof of concept.
Colen RR; Fujii T; Bilen MA; Kotrotsou A; Abrol S; Hess KR; Hajjar J; Suarez-Almazor ME; Alshawa A; Hong DS; Giniebra-Camejo D; Stephen B; Subbiah V; Sheshadri A; Mendoza T; Fu S; Sharma P; Meric-Bernstam F; Naing A
Invest New Drugs; 2018 Aug; 36(4):601-607. PubMed ID: 29075985
[TBL] [Abstract][Full Text] [Related]
8. Pretreatment MR imaging radiomics signatures for response prediction to induction chemotherapy in patients with nasopharyngeal carcinoma.
Wang G; He L; Yuan C; Huang Y; Liu Z; Liang C
Eur J Radiol; 2018 Jan; 98():100-106. PubMed ID: 29279146
[TBL] [Abstract][Full Text] [Related]
9. Radiomic signature based on CT imaging to distinguish invasive adenocarcinoma from minimally invasive adenocarcinoma in pure ground-glass nodules with pleural contact.
Jiang Y; Che S; Ma S; Liu X; Guo Y; Liu A; Li G; Li Z
Cancer Imaging; 2021 Jan; 21(1):1. PubMed ID: 33407884
[TBL] [Abstract][Full Text] [Related]
10. Value of MRI-based radiomics analysis for differentiation of benign and malignant epithelial neoplasms in the lacrimal gland: a retrospective study.
Guo J; Li Z; Qu X; Xian J
Acta Radiol; 2021 Jun; 62(6):743-751. PubMed ID: 32660315
[TBL] [Abstract][Full Text] [Related]
11. Radiomics-based prediction model for outcomes of PD-1/PD-L1 immunotherapy in metastatic urothelial carcinoma.
Park KJ; Lee JL; Yoon SK; Heo C; Park BW; Kim JK
Eur Radiol; 2020 Oct; 30(10):5392-5403. PubMed ID: 32394281
[TBL] [Abstract][Full Text] [Related]
12. Multiphase computed tomography radiomics of pancreatic intraductal papillary mucinous neoplasms to predict malignancy.
Polk SL; Choi JW; McGettigan MJ; Rose T; Ahmed A; Kim J; Jiang K; Balagurunathan Y; Qi J; Farah PT; Rathi A; Permuth JB; Jeong D
World J Gastroenterol; 2020 Jun; 26(24):3458-3471. PubMed ID: 32655269
[TBL] [Abstract][Full Text] [Related]
13. Differentiating the pathological subtypes of primary lung cancer for patients with brain metastases based on radiomics features from brain CT images.
Zhang J; Jin J; Ai Y; Zhu K; Xiao C; Xie C; Jin X
Eur Radiol; 2021 Feb; 31(2):1022-1028. PubMed ID: 32822055
[TBL] [Abstract][Full Text] [Related]
14. Computed Tomography-Based Radiomic Features Could Potentially Predict Microsatellite Instability Status in Stage II Colorectal Cancer: A Preliminary Study.
Fan S; Li X; Cui X; Zheng L; Ren X; Ma W; Ye Z
Acad Radiol; 2019 Dec; 26(12):1633-1640. PubMed ID: 30929999
[TBL] [Abstract][Full Text] [Related]
15. Comparison of radiomics machine-learning classifiers and feature selection for differentiation of sacral chordoma and sacral giant cell tumour based on 3D computed tomography features.
Yin P; Mao N; Zhao C; Wu J; Sun C; Chen L; Hong N
Eur Radiol; 2019 Apr; 29(4):1841-1847. PubMed ID: 30280245
[TBL] [Abstract][Full Text] [Related]
16. CT-based radiomics signature: a potential biomarker for preoperative prediction of early recurrence in hepatocellular carcinoma.
Zhou Y; He L; Huang Y; Chen S; Wu P; Ye W; Liu Z; Liang C
Abdom Radiol (NY); 2017 Jun; 42(6):1695-1704. PubMed ID: 28180924
[TBL] [Abstract][Full Text] [Related]
17. Potential feature exploration and model development based on 18F-FDG PET/CT images for differentiating benign and malignant lung lesions.
Zhang R; Zhu L; Cai Z; Jiang W; Li J; Yang C; Yu C; Jiang B; Wang W; Xu W; Chai X; Zhang X; Tang Y
Eur J Radiol; 2019 Dec; 121():108735. PubMed ID: 31733432
[TBL] [Abstract][Full Text] [Related]
18. Deep learning-based radiomics predicts response to chemotherapy in colorectal liver metastases.
Wei J; Cheng J; Gu D; Chai F; Hong N; Wang Y; Tian J
Med Phys; 2021 Jan; 48(1):513-522. PubMed ID: 33119899
[TBL] [Abstract][Full Text] [Related]
19. Development of a computed tomography-based radiomics nomogram for prediction of transarterial chemoembolization refractoriness in hepatocellular carcinoma.
Niu XK; He XF
World J Gastroenterol; 2021 Jan; 27(2):189-207. PubMed ID: 33510559
[TBL] [Abstract][Full Text] [Related]
20. Additional value of metabolic parameters to PET/CT-based radiomics nomogram in predicting lymphovascular invasion and outcome in lung adenocarcinoma.
Nie P; Yang G; Wang N; Yan L; Miao W; Duan Y; Wang Y; Gong A; Zhao Y; Wu J; Zhang C; Wang M; Cui J; Yu M; Li D; Sun Y; Wang Y; Wang Z
Eur J Nucl Med Mol Imaging; 2021 Jan; 48(1):217-230. PubMed ID: 32451603
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
