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 *

770 related articles for article (PubMed ID: 35340172)

  • 21. [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]  

  • 22. [Construction of a model based on multipoint full-layer puncture biopsy for predicting pathological complete response after neoadjuvant therapy for locally advanced rectal cancer].
    Jin Y; Zhai ZW; Sun LT; Xia PD; Hu H; Jiang CQ; Zhao BC; Qu H; Qian Q; Dai Y; Yao HW; Wang ZJ; Han JG
    Zhonghua Wei Chang Wai Ke Za Zhi; 2024 Apr; 27(4):403-411. PubMed ID: 38644246
    [No Abstract]   [Full Text] [Related]  

  • 23. Local tuning of radiomics-based model for predicting pathological response to neoadjuvant chemoradiotherapy in locally advanced rectal cancer.
    Tang B; Lenkowicz J; Peng Q; Boldrini L; Hou Q; Dinapoli N; Valentini V; Diao P; Yin G; Orlandini LC
    BMC Med Imaging; 2022 Mar; 22(1):44. PubMed ID: 35287607
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Tumor Volume as Predictor of Pathologic Complete Response Following Neoadjuvant Chemoradiation in Locally Advanced Rectal Cancer.
    Lutsyk M; Awawda M; Gourevich K; Ben Yosef R
    Am J Clin Oncol; 2021 Sep; 44(9):482-486. PubMed ID: 34269693
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Value of perfusion parameters from golden-angle radial sparse parallel dynamic contrast-enhanced magnetic resonance imaging in predicting pathological complete response after neoadjuvant chemoradiotherapy for locally advanced rectal cancer.
    Pan YN; Gu MY; Mao QL; Wei YG; Zhang L; Tang GY
    Diagn Interv Radiol; 2024 Jul; 30(4):228-235. PubMed ID: 38528760
    [TBL] [Abstract][Full Text] [Related]  

  • 26. 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]  

  • 27. MRI features and texture analysis for the early prediction of therapeutic response to neoadjuvant chemoradiotherapy and tumor recurrence of locally advanced rectal cancer.
    Park H; Kim KA; Jung JH; Rhie J; Choi SY
    Eur Radiol; 2020 Aug; 30(8):4201-4211. PubMed ID: 32270317
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Complete Response Evaluation of Locally Advanced Rectal Cancer to Neoadjuvant Chemoradiotherapy Using Textural Features Obtained from T2 Weighted Imaging and ADC Maps.
    Azamat S; Karaman Ş; Azamat IF; Ertaş G; Kulle CB; Keskin M; Sakin RND; Bakır B; Oral EN; Kartal MG
    Curr Med Imaging; 2022; 18(10):1061-1069. PubMed ID: 35240976
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Biparametric magnetic resonance imaging-based radiomics features for prediction of lymphovascular invasion in rectal cancer.
    Tong P; Sun D; Chen G; Ni J; Li Y
    BMC Cancer; 2023 Jan; 23(1):61. PubMed ID: 36650498
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Rectal Cancer: Assessment of Neoadjuvant Chemoradiation Outcome based on Radiomics of Multiparametric MRI.
    Nie K; Shi L; Chen Q; Hu X; Jabbour SK; Yue N; Niu T; Sun X
    Clin Cancer Res; 2016 Nov; 22(21):5256-5264. PubMed ID: 27185368
    [TBL] [Abstract][Full Text] [Related]  

  • 31. External validation and comparison of MR-based radiomics models for predicting pathological complete response in locally advanced rectal cancer: a two-centre, multi-vendor study.
    Wei Q; Chen Z; Tang Y; Chen W; Zhong L; Mao L; Hu S; Wu Y; Deng K; Yang W; Liu X
    Eur Radiol; 2023 Mar; 33(3):1906-1917. PubMed ID: 36355199
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Clinical utility of radiomics at baseline rectal MRI to predict complete response of rectal cancer after chemoradiation therapy.
    Petkovska I; Tixier F; Ortiz EJ; Golia Pernicka JS; Paroder V; Bates DD; Horvat N; Fuqua J; Schilsky J; Gollub MJ; Garcia-Aguilar J; Veeraraghavan H
    Abdom Radiol (NY); 2020 Nov; 45(11):3608-3617. PubMed ID: 32296896
    [TBL] [Abstract][Full Text] [Related]  

  • 33. 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]  

  • 34. 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]  

  • 35. Radiomics performs comparable to morphologic assessment by expert radiologists for prediction of response to neoadjuvant chemoradiotherapy on baseline staging MRI in rectal cancer.
    van Griethuysen JJM; Lambregts DMJ; Trebeschi S; Lahaye MJ; Bakers FCH; Vliegen RFA; Beets GL; Aerts HJWL; Beets-Tan RGH
    Abdom Radiol (NY); 2020 Mar; 45(3):632-643. PubMed ID: 31734709
    [TBL] [Abstract][Full Text] [Related]  

  • 36. [Radiomics-based prediction of microsatellite instability in stage Ⅱ and Ⅲ rectal cancer patients based on T2WI MRI and diffusion-weighted imaging].
    Xiang S; Zheng LB; Zhu L; Gao Y; Wang DS; Liu SL; Zhang S; Wang TY; Lu Y
    Zhonghua Wai Ke Za Zhi; 2023 Sep; 61(9):782-787. PubMed ID: 37491171
    [No Abstract]   [Full Text] [Related]  

  • 37. 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]  

  • 38. Radiomics based on T2-weighted and diffusion-weighted MR imaging for preoperative prediction of tumor deposits in rectal cancer.
    Sun Z; Xia F; Lv W; Li J; Zou Y; Wu J
    Am J Surg; 2024 Jun; 232():59-67. PubMed ID: 38272767
    [TBL] [Abstract][Full Text] [Related]  

  • 39. MRI radiomics features of mesorectal fat can predict response to neoadjuvant chemoradiation therapy and tumor recurrence in patients with locally advanced rectal cancer.
    Jayaprakasam VS; Paroder V; Gibbs P; Bajwa R; Gangai N; Sosa RE; Petkovska I; Golia Pernicka JS; Fuqua JL; Bates DDB; Weiser MR; Cercek A; Gollub MJ
    Eur Radiol; 2022 Feb; 32(2):971-980. PubMed ID: 34327580
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Multi-parametric MRI radiomics for predicting response to neoadjuvant therapy in patients with locally advanced rectal cancer.
    Zhu W; Xu Y; Zhu H; Qiu B; Zhan M; Wang H
    Jpn J Radiol; 2024 Jul; ():. PubMed ID: 39073521
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 39.