BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

300 related articles for article (PubMed ID: 37155130)

  • 1. The Role of Radiomics in Rectal Cancer.
    Miranda J; Horvat N; Araujo-Filho JAB; Albuquerque KS; Charbel C; Trindade BMC; Cardoso DL; de Padua Gomes de Farias L; Chakraborty J; Nomura CH
    J Gastrointest Cancer; 2023 Dec; 54(4):1158-1180. PubMed ID: 37155130
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Radiomics for the Prediction of Treatment Outcome and Survival in Patients With Colorectal Cancer: A Systematic Review.
    Staal FCR; van der Reijd DJ; Taghavi M; Lambregts DMJ; Beets-Tan RGH; Maas M
    Clin Colorectal Cancer; 2021 Mar; 20(1):52-71. PubMed ID: 33349519
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Analysis of MRI and CT-based radiomics features for personalized treatment in locally advanced rectal cancer and external validation of published radiomics models.
    Shahzadi I; Zwanenburg A; Lattermann A; Linge A; Baldus C; Peeken JC; Combs SE; Diefenhardt M; Rödel C; Kirste S; Grosu AL; Baumann M; Krause M; Troost EGC; Löck S
    Sci Rep; 2022 Jun; 12(1):10192. PubMed ID: 35715462
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Emerging applications of radiomics in rectal cancer: State of the art and future perspectives.
    Hou M; Sun JH
    World J Gastroenterol; 2021 Jul; 27(25):3802-3814. PubMed ID: 34321845
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Novel imaging techniques of rectal cancer: what do radiomics and radiogenomics have to offer? A literature review.
    Horvat N; Bates DDB; Petkovska I
    Abdom Radiol (NY); 2019 Nov; 44(11):3764-3774. PubMed ID: 31055615
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Radiomics in colorectal cancer patients.
    Inchingolo R; Maino C; Cannella R; Vernuccio F; Cortese F; Dezio M; Pisani AR; Giandola T; Gatti M; Giannini V; Ippolito D; Faletti R
    World J Gastroenterol; 2023 May; 29(19):2888-2904. PubMed ID: 37274803
    [TBL] [Abstract][Full Text] [Related]  

  • 7. CT radiomics and PET radiomics: ready for clinical implementation?
    Bogowicz M; Vuong D; Huellner MW; Pavic M; Andratschke N; Gabrys HS; Guckenberger M; Tanadini-Lang S
    Q J Nucl Med Mol Imaging; 2019 Dec; 63(4):355-370. PubMed ID: 31527578
    [TBL] [Abstract][Full Text] [Related]  

  • 8. MRI radiomics in the prediction of therapeutic response to neoadjuvant therapy for locoregionally advanced rectal cancer: a systematic review.
    Di Re AM; Sun Y; Sundaresan P; Hau E; Toh JWT; Gee H; Or M; Haworth A
    Expert Rev Anticancer Ther; 2021 Apr; 21(4):425-449. PubMed ID: 33289435
    [No Abstract]   [Full Text] [Related]  

  • 9. Role of MRI‑based radiomics in locally advanced rectal cancer (Review).
    Zhang S; Yu M; Chen D; Li P; Tang B; Li J
    Oncol Rep; 2022 Feb; 47(2):. PubMed ID: 34935061
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Overall Survival Prognostic Modelling of Non-small Cell Lung Cancer Patients Using Positron Emission Tomography/Computed Tomography Harmonised Radiomics Features: The Quest for the Optimal Machine Learning Algorithm.
    Amini M; Hajianfar G; Hadadi Avval A; Nazari M; Deevband MR; Oveisi M; Shiri I; Zaidi H
    Clin Oncol (R Coll Radiol); 2022 Feb; 34(2):114-127. PubMed ID: 34872823
    [TBL] [Abstract][Full Text] [Related]  

  • 11. 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]  

  • 12. Radiomic signature of the FOWARC trial predicts pathological response to neoadjuvant treatment in rectal cancer.
    Zhuang Z; Liu Z; Li J; Wang X; Xie P; Xiong F; Hu J; Meng X; Huang M; Deng Y; Lan P; Yu H; Luo Y
    J Transl Med; 2021 Jun; 19(1):256. PubMed ID: 34112180
    [TBL] [Abstract][Full Text] [Related]  

  • 13. 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]  

  • 14. 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]  

  • 15. Development and external validation of a multiparametric MRI-based radiomics model for preoperative prediction of microsatellite instability status in rectal cancer: a retrospective multicenter study.
    Li Z; Zhang J; Zhong Q; Feng Z; Shi Y; Xu L; Zhang R; Yu F; Lv B; Yang T; Huang C; Cui F; Chen F
    Eur Radiol; 2023 Mar; 33(3):1835-1843. PubMed ID: 36282309
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Studying local tumour heterogeneity on MRI and FDG-PET/CT to predict response to neoadjuvant chemoradiotherapy in rectal cancer.
    Schurink NW; van Kranen SR; Berbee M; van Elmpt W; Bakers FCH; Roberti S; van Griethuysen JJM; Min LA; Lahaye MJ; Maas M; Beets GL; Beets-Tan RGH; Lambregts DMJ
    Eur Radiol; 2021 Sep; 31(9):7031-7038. PubMed ID: 33569624
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Machine learning predictive performance evaluation of conventional and fuzzy radiomics in clinical cancer imaging cohorts.
    Grahovac M; Spielvogel CP; Krajnc D; Ecsedi B; Traub-Weidinger T; Rasul S; Kluge K; Zhao M; Li X; Hacker M; Haug A; Papp L
    Eur J Nucl Med Mol Imaging; 2023 May; 50(6):1607-1620. PubMed ID: 36738311
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Multi-parameter diffusion and perfusion magnetic resonance imaging and radiomics nomogram for preoperative evaluation of aquaporin-1 expression in rectal cancer.
    Chen Y; Li B; Jiang Z; Li H; Dang Y; Tang C; Xia Y; Zhang H; Song B; Long L
    Abdom Radiol (NY); 2022 Apr; 47(4):1276-1290. PubMed ID: 35166938
    [TBL] [Abstract][Full Text] [Related]  

  • 19. MRI radiomics analysis for predicting preoperative synchronous distant metastasis in patients with rectal cancer.
    Liu H; Zhang C; Wang L; Luo R; Li J; Zheng H; Yin Q; Zhang Z; Duan S; Li X; Wang D
    Eur Radiol; 2019 Aug; 29(8):4418-4426. PubMed ID: 30413955
    [TBL] [Abstract][Full Text] [Related]  

  • 20. 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]  

    [Next]    [New Search]
    of 15.