224 related articles for article (PubMed ID: 35912919)
1. CT radiomics identifying non-responders to neoadjuvant chemoradiotherapy among patients with locally advanced rectal cancer.
Zhang Z; Yi X; Pei Q; Fu Y; Li B; Liu H; Han Z; Chen C; Pang P; Lin H; Gong G; Yin H; Zai H; Chen BT
Cancer Med; 2023 Feb; 12(3):2463-2473. PubMed ID: 35912919
[TBL] [Abstract][Full Text] [Related]
2. MRI-Based Radiomic Models Outperform Radiologists in Predicting Pathological Complete Response to Neoadjuvant Chemoradiotherapy in Locally Advanced Rectal Cancer.
Wen L; Liu J; Hu P; Bi F; Liu S; Jian L; Zhu S; Nie S; Cao F; Lu Q; Yu X; Liu K
Acad Radiol; 2023 Sep; 30 Suppl 1():S176-S184. PubMed ID: 36739228
[TBL] [Abstract][Full Text] [Related]
3. Radiomics signature as a new biomarker for preoperative prediction of neoadjuvant chemoradiotherapy response in locally advanced rectal cancer.
Zhang Z; Jiang X; Zhang R; Yu T; Liu S; Luo Y
Diagn Interv Radiol; 2021 May; 27(3):308-314. PubMed ID: 34003118
[TBL] [Abstract][Full Text] [Related]
4. Radiomics of locally advanced rectal cancer: machine learning-based prediction of response to neoadjuvant chemoradiotherapy using pre-treatment sagittal T2-weighted MRI.
Yardimci AH; Kocak B; Sel I; Bulut H; Bektas CT; Cin M; Dursun N; Bektas H; Mermut O; Yardimci VH; Kilickesmez O
Jpn J Radiol; 2023 Jan; 41(1):71-82. PubMed ID: 35962933
[TBL] [Abstract][Full Text] [Related]
5. Machine learning-based multiparametric MRI radiomics for predicting poor responders after neoadjuvant chemoradiotherapy in rectal Cancer patients.
Wang J; Chen J; Zhou R; Gao Y; Li J
BMC Cancer; 2022 Apr; 22(1):420. PubMed ID: 35439946
[TBL] [Abstract][Full Text] [Related]
6. Attention mechanism based multi-sequence MRI fusion improves prediction of response to neoadjuvant chemoradiotherapy in locally advanced rectal cancer.
Zhou X; Yu Y; Feng Y; Ding G; Liu P; Liu L; Ren W; Zhu Y; Cao W
Radiat Oncol; 2023 Oct; 18(1):175. PubMed ID: 37891611
[TBL] [Abstract][Full Text] [Related]
7. Extracellular volume fraction determined by equilibrium contrast-enhanced CT for the prediction of the pathological complete response to neoadjuvant chemoradiotherapy for locally advanced rectal cancer.
Luo Y; Liu L; Liu D; Shen H; Wang X; Fan C; Zeng Z; Zhang J; Tan Y; Zhang X; Wu J; Zhang J
Eur Radiol; 2023 Jun; 33(6):4042-4051. PubMed ID: 36462046
[TBL] [Abstract][Full Text] [Related]
8. MRI radiomics signature to predict lymph node metastasis after neoadjuvant chemoradiation therapy in locally advanced rectal cancer.
Fang Z; Pu H; Chen XL; Yuan Y; Zhang F; Li H
Abdom Radiol (NY); 2023 Jul; 48(7):2270-2283. PubMed ID: 37085730
[TBL] [Abstract][Full Text] [Related]
9. Predicting pathological complete response by comparing MRI-based radiomics pre- and postneoadjuvant radiotherapy for locally advanced rectal cancer.
Li Y; Liu W; Pei Q; Zhao L; Güngör C; Zhu H; Song X; Li C; Zhou Z; Xu Y; Wang D; Tan F; Yang P; Pei H
Cancer Med; 2019 Dec; 8(17):7244-7252. PubMed ID: 31642204
[TBL] [Abstract][Full Text] [Related]
10. Development and validation of an MRI-based radiomic nomogram to distinguish between good and poor responders in patients with locally advanced rectal cancer undergoing neoadjuvant chemoradiotherapy.
Wang J; Liu X; Hu B; Gao Y; Chen J; Li J
Abdom Radiol (NY); 2021 May; 46(5):1805-1815. PubMed ID: 33151359
[TBL] [Abstract][Full Text] [Related]
11. Deep learning-based radiomic features for improving neoadjuvant chemoradiation response prediction in locally advanced rectal cancer.
Fu J; Zhong X; Li N; Van Dams R; Lewis J; Sung K; Raldow AC; Jin J; Qi XS
Phys Med Biol; 2020 Apr; 65(7):075001. PubMed ID: 32092710
[TBL] [Abstract][Full Text] [Related]
12. Selecting Candidates for Organ-Preserving Strategies After Neoadjuvant Chemoradiotherapy for Rectal Cancer: Development and Validation of a Model Integrating MRI Radiomics and Pathomics.
Wan L; Sun Z; Peng W; Wang S; Li J; Zhao Q; Wang S; Ouyang H; Zhao X; Zou S; Zhang H
J Magn Reson Imaging; 2022 Oct; 56(4):1130-1142. PubMed ID: 35142001
[TBL] [Abstract][Full Text] [Related]
13. MRI Radiomics Model Predicts Pathologic Complete Response of Rectal Cancer Following Chemoradiotherapy.
Shin J; Seo N; Baek SE; Son NH; Lim JS; Kim NK; Koom WS; Kim S
Radiology; 2022 May; 303(2):351-358. PubMed ID: 35133200
[TBL] [Abstract][Full Text] [Related]
14. Response prediction of neoadjuvant chemoradiation therapy in locally advanced rectal cancer using CT-based fractal dimension analysis.
Tochigi T; Kamran SC; Parakh A; Noda Y; Ganeshan B; Blaszkowsky LS; Ryan DP; Allen JN; Berger DL; Wo JY; Hong TS; Kambadakone A
Eur Radiol; 2022 Apr; 32(4):2426-2436. PubMed ID: 34643781
[TBL] [Abstract][Full Text] [Related]
15. Multi-modal radiomics model to predict treatment response to neoadjuvant chemotherapy for locally advanced rectal cancer.
Li ZY; Wang XD; Li M; Liu XJ; Ye Z; Song B; Yuan F; Yuan Y; Xia CC; Zhang X; Li Q
World J Gastroenterol; 2020 May; 26(19):2388-2402. PubMed ID: 32476800
[TBL] [Abstract][Full Text] [Related]
16. A Comprehensive Prediction Model Based on MRI Radiomics and Clinical Factors to Predict Tumor Response After Neoadjuvant Chemoradiotherapy in Rectal Cancer.
Jiang H; Guo W; Yu Z; Lin X; Zhang M; Jiang H; Zhang H; Sun Z; Li J; Yu Y; Zhao S; Hu H
Acad Radiol; 2023 Sep; 30 Suppl 1():S185-S198. PubMed ID: 37394412
[TBL] [Abstract][Full Text] [Related]
17. Deep learning radiomics-based prediction of distant metastasis in patients with locally advanced rectal cancer after neoadjuvant chemoradiotherapy: A multicentre study.
Liu X; Zhang D; Liu Z; Li Z; Xie P; Sun K; Wei W; Dai W; Tang Z; Ding Y; Cai G; Tong T; Meng X; Tian J
EBioMedicine; 2021 Jul; 69():103442. PubMed ID: 34157487
[TBL] [Abstract][Full Text] [Related]
18. Pre-Treatment T2-WI Based Radiomics Features for Prediction of Locally Advanced Rectal Cancer Non-Response to Neoadjuvant Chemoradiotherapy: A Preliminary Study.
Petresc B; Lebovici A; Caraiani C; Feier DS; Graur F; Buruian MM
Cancers (Basel); 2020 Jul; 12(7):. PubMed ID: 32674345
[TBL] [Abstract][Full Text] [Related]
19. Pre-Treatment Computed Tomography Radiomics for Predicting the Response to Neoadjuvant Chemoradiation in Locally Advanced Rectal Cancer: A Retrospective Study.
Mao Y; Pei Q; Fu Y; Liu H; Chen C; Li H; Gong G; Yin H; Pang P; Lin H; Xu B; Zai H; Yi X; Chen BT
Front Oncol; 2022; 12():850774. PubMed ID: 35619922
[TBL] [Abstract][Full Text] [Related]
20. MRI-Based Radiomics Predicts Tumor Response to Neoadjuvant Chemoradiotherapy in Locally Advanced Rectal Cancer.
Yi X; Pei Q; Zhang Y; Zhu H; Wang Z; Chen C; Li Q; Long X; Tan F; Zhou Z; Liu W; Li C; Zhou Y; Song X; Li Y; Liao W; Li X; Sun L; Pei H; Zee C; Chen BT
Front Oncol; 2019; 9():552. PubMed ID: 31293979
[No Abstract] [Full Text] [Related]
[Next] [New Search]