BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

731 related articles for article (PubMed ID: 35340172)

  • 1. [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]  

  • 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. [Short-term outcome of programmed cell death protein1 (PD-1) antibody combined with total neoadjuvant chemoradiotherapy in the treatment of locally advanced middle-low rectal cancer with high risk factors].
    Li YJ; Zhang L; Dong QS; Cai Y; Zhang YZ; Wang L; Yao YF; Zhang XY; Li ZW; Li YH; Sun YS; Wang WH; Wu AW
    Zhonghua Wei Chang Wai Ke Za Zhi; 2021 Nov; 24(11):998-1007. PubMed ID: 34823301
    [No Abstract]   [Full Text] [Related]  

  • 4. 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]  

  • 5. 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]  

  • 6. 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]  

  • 7. 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]  

  • 8. [Predictive value of combination of MRI tumor regression grade and apparent diffusion coefficient for pathological complete remission after neoadjuvant treatment of locally advanced rectal cancer].
    Xu N; Huang FC; Li WL; Luan X; Jiang YM; He B
    Zhonghua Wei Chang Wai Ke Za Zhi; 2021 Apr; 24(4):359-365. PubMed ID: 33878826
    [No Abstract]   [Full Text] [Related]  

  • 9. Does restaging MRI radiomics analysis improve pathological complete response prediction in rectal cancer patients? A prognostic model development.
    Chiloiro G; Cusumano D; de Franco P; Lenkowicz J; Boldrini L; Carano D; Barbaro B; Corvari B; Dinapoli N; Giraffa M; Meldolesi E; Manfredi R; Valentini V; Gambacorta MA
    Radiol Med; 2022 Jan; 127(1):11-20. PubMed ID: 34725772
    [TBL] [Abstract][Full Text] [Related]  

  • 10. 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]  

  • 11. 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]  

  • 12. Prediction of locally advanced rectal cancer response to neoadjuvant chemoradiation therapy using volumetric multiparametric MRI-based radiomics.
    El Homsi M; Bane O; Fauveau V; Hectors S; Vietti Violi N; Sylla P; Ko HB; Cuevas J; Carbonell G; Nehlsen A; Vanguri R; Viswanath S; Jambawalikar S; Shaish H; Taouli B
    Abdom Radiol (NY); 2024 Mar; 49(3):791-800. PubMed ID: 38150143
    [TBL] [Abstract][Full Text] [Related]  

  • 13. 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]  

  • 14. Machine learning-based response assessment in patients with rectal cancer after neoadjuvant chemoradiotherapy: radiomics analysis for assessing tumor regression grade using T2-weighted magnetic resonance images.
    Lee YD; Kim HG; Seo M; Moon SK; Park SJ; You MW
    Int J Colorectal Dis; 2024 May; 39(1):78. PubMed ID: 38789861
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Develop and validate a radiomics space-time model to predict the pathological complete response in patients undergoing neoadjuvant treatment of rectal cancer: an artificial intelligence model study based on machine learning.
    Peng J; Wang W; Jin H; Qin X; Hou J; Yang Z; Shu Z
    BMC Cancer; 2023 Apr; 23(1):365. PubMed ID: 37085830
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Radiomics of MRI for pretreatment prediction of pathologic complete response, tumor regression grade, and neoadjuvant rectal score in patients with locally advanced rectal cancer undergoing neoadjuvant chemoradiation: an international multicenter study.
    Shaish H; Aukerman A; Vanguri R; Spinelli A; Armenta P; Jambawalikar S; Makkar J; Bentley-Hibbert S; Del Portillo A; Kiran R; Monti L; Bonifacio C; Kirienko M; Gardner KL; Schwartz L; Keller D
    Eur Radiol; 2020 Nov; 30(11):6263-6273. PubMed ID: 32500192
    [TBL] [Abstract][Full Text] [Related]  

  • 17. 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]  

  • 18. [The value of MR T2WI signal intensity related parameters for predicting pathological complete response to neoadjuvant chemoradiotherapy in locally advanced rectal cancer].
    Wan LJ; Zhang CD; Zhang HM; Meng YK; Ye F; Liu Y; Zhao XM; Zhou CW
    Zhonghua Zhong Liu Za Zhi; 2019 Nov; 41(11):837-843. PubMed ID: 31770851
    [No Abstract]   [Full Text] [Related]  

  • 19. 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]  

  • 20. [Application value of texture analysis of magnetic resonance images in prediction of neoadjuvant chemoradiotherapy efficacy for rectal cancer].
    Shu Z; Fang S; Ding Z; Mao D; Pang P; Gong X
    Zhonghua Wei Chang Wai Ke Za Zhi; 2018 Sep; 21(9):1051-1058. PubMed ID: 30269327
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 37.