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 *

541 related articles for article (PubMed ID: 34302510)

  • 1. 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]  

  • 2. 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]  

  • 3. 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]  

  • 4. MRI-based radiomics analysis for predicting the EGFR mutation based on thoracic spinal metastases in lung adenocarcinoma patients.
    Ren M; Yang H; Lai Q; Shi D; Liu G; Shuang X; Su J; Xie L; Dong Y; Jiang X
    Med Phys; 2021 Sep; 48(9):5142-5151. PubMed ID: 34318502
    [TBL] [Abstract][Full Text] [Related]  

  • 5. 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]  

  • 6. 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]  

  • 7. Multiparametric MRI-Based Radiomics Approaches for Preoperative Prediction of EGFR Mutation Status in Spinal Bone Metastases in Patients with Lung Adenocarcinoma.
    Jiang X; Ren M; Shuang X; Yang H; Shi D; Lai Q; Dong Y
    J Magn Reson Imaging; 2021 Aug; 54(2):497-507. PubMed ID: 33638577
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Multi-parametric MRI-based radiomics for the diagnosis of malignant soft-tissue tumor.
    Yue Z; Wang X; Yu T; Shang S; Liu G; Jing W; Yang H; Luo Y; Jiang X
    Magn Reson Imaging; 2022 Sep; 91():91-99. PubMed ID: 35525523
    [TBL] [Abstract][Full Text] [Related]  

  • 9. 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]  

  • 10. 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]  

  • 11. 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]  

  • 12. 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]  

  • 13. 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]  

  • 14. Clinical-Radiomics Nomogram from T1W, T1CE, and T2FS MRI for Improving Diagnosis of Soft-Tissue Sarcoma.
    Yue Z; Wang X; Wang Y; Wang H; Jiang W
    Mol Imaging Biol; 2022 Dec; 24(6):995-1006. PubMed ID: 35799035
    [TBL] [Abstract][Full Text] [Related]  

  • 15. 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]  

  • 16. 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]  

  • 17. Multi-parametric MRI-based peritumoral radiomics on prediction of lymph-vascular space invasion in early-stage cervical cancer.
    Cui L; Yu T; Kan Y; Dong Y; Luo Y; Jiang X
    Diagn Interv Radiol; 2022 Jul; 28(4):312-321. PubMed ID: 35731710
    [TBL] [Abstract][Full Text] [Related]  

  • 18. 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]  

  • 19. Multiparametric MRI-based radiomics nomogram for preoperative prediction of lymphovascular invasion and clinical outcomes in patients with breast invasive ductal carcinoma.
    Zhang J; Wang G; Ren J; Yang Z; Li D; Cui Y; Yang X
    Eur Radiol; 2022 Jun; 32(6):4079-4089. PubMed ID: 35050415
    [TBL] [Abstract][Full Text] [Related]  

  • 20. 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]  

    [Next]    [New Search]
    of 28.