These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

369 related articles for article (PubMed ID: 35142001)

  • 1. 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]  

  • 2. Radiomics analysis of multiparametric MRI for prediction of pathological complete response to neoadjuvant chemoradiotherapy in locally advanced rectal cancer.
    Cui Y; Yang X; Shi Z; Yang Z; Du X; Zhao Z; Cheng X
    Eur Radiol; 2019 Mar; 29(3):1211-1220. PubMed ID: 30128616
    [TBL] [Abstract][Full Text] [Related]  

  • 3. 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]  

  • 4. Quantitative analysis of diffusion weighted imaging to predict pathological good response to neoadjuvant chemoradiation for locally advanced rectal cancer.
    Tang Z; Zhang XY; Liu Z; Li XT; Shi YJ; Wang S; Fang M; Shen C; Dong E; Sun YS; Tian J
    Radiother Oncol; 2019 Mar; 132():100-108. PubMed ID: 30825957
    [TBL] [Abstract][Full Text] [Related]  

  • 5. 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]  

  • 6. Radiomics Analysis for Evaluation of Pathological Complete Response to Neoadjuvant Chemoradiotherapy in Locally Advanced Rectal Cancer.
    Liu Z; Zhang XY; Shi YJ; Wang L; Zhu HT; Tang Z; Wang S; Li XT; Tian J; Sun YS
    Clin Cancer Res; 2017 Dec; 23(23):7253-7262. PubMed ID: 28939744
    [No Abstract]   [Full Text] [Related]  

  • 7. MRI-based delta-radiomics are predictive of pathological complete response after neoadjuvant chemoradiotherapy in locally advanced rectal cancer.
    Wan L; Peng W; Zou S; Ye F; Geng Y; Ouyang H; Zhao X; Zhang H
    Acad Radiol; 2021 Nov; 28 Suppl 1():S95-S104. PubMed ID: 33189550
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Multiparametric MRI-based Radiomics approaches on predicting response to neoadjuvant chemoradiotherapy (nCRT) in patients with rectal cancer.
    Cheng Y; Luo Y; Hu Y; Zhang Z; Wang X; Yu Q; Liu G; Cui E; Yu T; Jiang X
    Abdom Radiol (NY); 2021 Nov; 46(11):5072-5085. PubMed ID: 34302510
    [TBL] [Abstract][Full Text] [Related]  

  • 9. 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]  

  • 10. 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]  

  • 11. MRI-based Multiregional Radiomics for Pretreatment Prediction of Distant Metastasis After Neoadjuvant Chemoradiotherapy in Patients with Locally Advanced Rectal Cancer.
    Zhao R; Wan L; Chen S; Peng W; Liu X; Wang S; Li L; Zhang H
    Acad Radiol; 2024 Apr; 31(4):1367-1377. PubMed ID: 37802671
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Evaluating treatment response to neoadjuvant chemoradiotherapy in rectal cancer using various MRI-based radiomics models.
    Li Z; Ma X; Shen F; Lu H; Xia Y; Lu J
    BMC Med Imaging; 2021 Feb; 21(1):30. PubMed ID: 33593304
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Development and validation of a radiopathomics model to predict pathological complete response to neoadjuvant chemoradiotherapy in locally advanced rectal cancer: a multicentre observational study.
    Feng L; Liu Z; Li C; Li Z; Lou X; Shao L; Wang Y; Huang Y; Chen H; Pang X; Liu S; He F; Zheng J; Meng X; Xie P; Yang G; Ding Y; Wei M; Yun J; Hung MC; Zhou W; Wahl DR; Lan P; Tian J; Wan X
    Lancet Digit Health; 2022 Jan; 4(1):e8-e17. PubMed ID: 34952679
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Developing a prediction model based on MRI for pathological complete response after neoadjuvant chemoradiotherapy in locally advanced rectal cancer.
    Wan L; Zhang C; Zhao Q; Meng Y; Zou S; Yang Y; Liu Y; Jiang J; Ye F; Ouyang H; Zhao X; Zhang H
    Abdom Radiol (NY); 2019 Sep; 44(9):2978-2987. PubMed ID: 31327039
    [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. Prognostic prediction value of the clinical-radiomics tumour-stroma ratio in locally advanced rectal cancer.
    Cai C; Hu T; Rong Z; Gong J; Tong T
    Eur J Radiol; 2024 Jan; 170():111254. PubMed ID: 38091662
    [TBL] [Abstract][Full Text] [Related]  

  • 17. A multiple-time-scale comparative study for the added value of magnetic resonance imaging-based radiomics in predicting pathological complete response after neoadjuvant chemoradiotherapy in locally advanced rectal cancer.
    Peng W; Wan L; Wang S; Zou S; Zhao X; Zhang H
    Front Oncol; 2023; 13():1234619. PubMed ID: 37664046
    [TBL] [Abstract][Full Text] [Related]  

  • 18. 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]  

  • 19. [A prediction model of pathological complete response in patients with locally advanced rectal cancer after PD-1 antibody combined with total neoadjuvant chemoradiotherapy based on MRI radiomics].
    Zhang XY; Zhu HT; Li XT; Li YJ; Li ZW; Wang WH; Wu AW; Sun YS; Zhang L
    Zhonghua Wei Chang Wai Ke Za Zhi; 2022 Mar; 25(3):228-234. PubMed ID: 35340172
    [No Abstract]   [Full Text] [Related]  

  • 20. The Conversion of MRI Data With Multiple b-Values into Signature-Like Pictures to Predict Treatment Response for Rectal Cancer.
    Zhu HT; Zhang XY; Shi YJ; Li XT; Sun YS
    J Magn Reson Imaging; 2022 Aug; 56(2):562-569. PubMed ID: 34913210
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 19.