191 related articles for article (PubMed ID: 36435716)
1. Radiomics could predict surgery at 10 years in Crohn's disease.
Laterza L; Boldrini L; Tran HE; Votta C; Larosa L; Minordi LM; Maresca R; Pugliese D; Zocco MA; Ainora ME; Lopetuso LR; Papa A; Armuzzi A; Gasbarrini A; Scaldaferri F
Dig Liver Dis; 2023 Aug; 55(8):1042-1048. PubMed ID: 36435716
[TBL] [Abstract][Full Text] [Related]
2. A Novel Radiomics Model Integrating Luminal and Mesenteric Features to Predict Mucosal Activity and Surgery Risk in Crohn's Disease Patients: A Multicenter Study.
Ruiqing L; Jing Y; Shunli L; Jia K; Zhibo W; Hongping Z; Keyu R; Xiaoming Z; Zhiming W; Weiming Z; Tianye N; Yun L
Acad Radiol; 2023 Sep; 30 Suppl 1():S207-S219. PubMed ID: 37149448
[TBL] [Abstract][Full Text] [Related]
3. Computed tomography-based radiomics nomogram using machine learning for predicting 1-year surgical risk after diagnosis of Crohn's disease.
Yao J; Zhou J; Zhong Y; Zhang M; Peng X; Zhao J; Liu T; Wang W; Hu P; Meng X; Zhi M
Med Phys; 2023 Jun; 50(6):3862-3872. PubMed ID: 37029097
[TBL] [Abstract][Full Text] [Related]
4. Integrating Radiomics With Clinicoradiological Scoring Can Predict High-Risk Patients Who Need Surgery in Crohn's Disease: A Pilot Study.
Chirra P; Sharma A; Bera K; Cohn HM; Kurowski JA; Amann K; Rivero MJ; Madabhushi A; Lu C; Paspulati R; Stein SL; Katz JA; Viswanath SE; Dave M
Inflamm Bowel Dis; 2023 Mar; 29(3):349-358. PubMed ID: 36250776
[TBL] [Abstract][Full Text] [Related]
5. Development and Validation of a Novel Computed-Tomography Enterography Radiomic Approach for Characterization of Intestinal Fibrosis in Crohn's Disease.
Li X; Liang D; Meng J; Zhou J; Chen Z; Huang S; Lu B; Qiu Y; Baker ME; Ye Z; Cao Q; Wang M; Yuan C; Chen Z; Feng S; Zhang Y; Iacucci M; Ghosh S; Rieder F; Sun C; Chen M; Li Z; Mao R; Huang B; Feng ST
Gastroenterology; 2021 Jun; 160(7):2303-2316.e11. PubMed ID: 33609503
[TBL] [Abstract][Full Text] [Related]
6. Preoperative computed tomography enterography-based radiomics signature: A potential predictor of postoperative anastomotic recurrence in patients with Crohn's disease.
Shen XD; Zhang RN; Huang SY; Wang YD; Liu RY; Meng JX; Zhou J; Chen Z; Fang JY; Mao R; Li ZP; Sun CH; Feng ST; Lin SC; Zhong YK; Li XH
Eur J Radiol; 2023 May; 162():110766. PubMed ID: 36924538
[TBL] [Abstract][Full Text] [Related]
7. Computed tomography enterography-based multiregional radiomics model for differential diagnosis of Crohn's disease from intestinal tuberculosis.
Gong T; Li M; Pu H; Yin LL; Peng SK; Zhou Z; Zhou M; Li H
Abdom Radiol (NY); 2023 Jun; 48(6):1900-1910. PubMed ID: 37004555
[TBL] [Abstract][Full Text] [Related]
8. CT-based radiomics signature of visceral adipose tissue for prediction of disease progression in patients with Crohn's disease: A multicentre cohort study.
Li X; Zhang N; Hu C; Lin Y; Li J; Li Z; Cui E; Shi L; Zhuang X; Li J; Lu J; Wang Y; Liu R; Yuan C; Lin H; He J; Ke D; Tang S; Zou Y; He B; Sun C; Chen M; Huang B; Mao R; Feng ST
EClinicalMedicine; 2023 Feb; 56():101805. PubMed ID: 36618894
[TBL] [Abstract][Full Text] [Related]
9. A novel clinical radiomics nomogram at baseline to predict mucosal healing in Crohn's disease patients treated with infliximab.
Zhu C; Hu J; Wang X; Li C; Gao Y; Li J; Ge Y; Wu X
Eur Radiol; 2022 Oct; 32(10):6628-6636. PubMed ID: 35857074
[TBL] [Abstract][Full Text] [Related]
10. CT enterography-based radiomics combined with body composition to predict infliximab treatment failure in Crohn's disease.
Song F; Ma M; Zeng S; Shao F; Huang W; Feng Z; Rong P
Radiol Med; 2024 Feb; 129(2):175-187. PubMed ID: 37982937
[TBL] [Abstract][Full Text] [Related]
11. Visceral adiposity and inflammatory bowel disease.
Rowan CR; McManus J; Boland K; O'Toole A
Int J Colorectal Dis; 2021 Nov; 36(11):2305-2319. PubMed ID: 34104989
[TBL] [Abstract][Full Text] [Related]
12. Non-contrast CT-based radiomic signature for screening thoracic aortic dissections: a multicenter study.
Guo Y; Chen X; Lin X; Chen L; Shu J; Pang P; Cheng J; Xu M; Sun Z
Eur Radiol; 2021 Sep; 31(9):7067-7076. PubMed ID: 33755755
[TBL] [Abstract][Full Text] [Related]
13. CTE-Based Radiomics Models Can Identify Mucosal Healing in Patients with Crohn's Disease.
Rong C; Zhu C; He L; Hu J; Gao Y; Li C; Qian B; Li J; Wu X
Acad Radiol; 2023 Sep; 30 Suppl 1():S199-S206. PubMed ID: 37210265
[TBL] [Abstract][Full Text] [Related]
14. Applying logistic LASSO regression for the diagnosis of atypical Crohn's disease.
Li Y; Lu F; Yin Y
Sci Rep; 2022 Jul; 12(1):11340. PubMed ID: 35790774
[TBL] [Abstract][Full Text] [Related]
15. Combined Endoscopic/Sonographic-based Risk Matrix Model for Predicting One-year Risk of Surgery: A Prospective Observational Study of a Tertiary Centre Severe/Refractory Crohn's Disease Cohort.
Rispo A; Imperatore N; Testa A; Bucci L; Luglio G; De Palma GD; Rea M; Nardone OM; Caporaso N; Castiglione F
J Crohns Colitis; 2018 Jun; 12(7):784-793. PubMed ID: 29528382
[TBL] [Abstract][Full Text] [Related]
16. 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]
17. A preliminary study using spinal MRI-based radiomics to predict high-risk cytogenetic abnormalities in multiple myeloma.
Liu J; Wang C; Guo W; Zeng P; Liu Y; Lang N; Yuan H
Radiol Med; 2021 Sep; 126(9):1226-1235. PubMed ID: 34159496
[TBL] [Abstract][Full Text] [Related]
18. Application of radiomics for the prediction of HPV status for patients with head and neck cancers.
Bagher-Ebadian H; Lu M; Siddiqui F; Ghanem AI; Wen N; Wu Q; Liu C; Movsas B; Chetty IJ
Med Phys; 2020 Feb; 47(2):563-575. PubMed ID: 31853980
[TBL] [Abstract][Full Text] [Related]
19. Preoperative prediction for lauren type of gastric cancer: A radiomics nomogram analysis based on CT images and clinical features.
Sun Z; Jin L; Zhang S; Duan S; Xing W; Hu S
J Xray Sci Technol; 2021; 29(4):675-686. PubMed ID: 34024809
[TBL] [Abstract][Full Text] [Related]
20. 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]
[Next] [New Search]
