BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

472 related articles for article (PubMed ID: 25501017)

  • 1. Texture analysis as imaging biomarker of tumoral response to neoadjuvant chemoradiotherapy in rectal cancer patients studied with 3-T magnetic resonance.
    De Cecco CN; Ganeshan B; Ciolina M; Rengo M; Meinel FG; Musio D; De Felice F; Raffetto N; Tombolini V; Laghi A
    Invest Radiol; 2015 Apr; 50(4):239-45. PubMed ID: 25501017
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Performance of diffusion-weighted imaging, perfusion imaging, and texture analysis in predicting tumoral response to neoadjuvant chemoradiotherapy in rectal cancer patients studied with 3T MR: initial experience.
    De Cecco CN; Ciolina M; Caruso D; Rengo M; Ganeshan B; Meinel FG; Musio D; De Felice F; Tombolini V; Laghi A
    Abdom Radiol (NY); 2016 Sep; 41(9):1728-35. PubMed ID: 27056748
    [TBL] [Abstract][Full Text] [Related]  

  • 3. [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]  

  • 4. Magnetic resonance based texture parameters as potential imaging biomarkers for predicting long-term survival in locally advanced rectal cancer treated by chemoradiotherapy.
    Jalil O; Afaq A; Ganeshan B; Patel UB; Boone D; Endozo R; Groves A; Sizer B; Arulampalam T
    Colorectal Dis; 2017 Apr; 19(4):349-362. PubMed ID: 27538267
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Performance of Machine Learning and Texture Analysis for Predicting Response to Neoadjuvant Chemoradiotherapy in Locally Advanced Rectal Cancer with 3T MRI.
    Bellini D; Carbone I; Rengo M; Vicini S; Panvini N; Caruso D; Iannicelli E; Tombolini V; Laghi A
    Tomography; 2022 Aug; 8(4):2059-2072. PubMed ID: 36006071
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Could perfusion heterogeneity at dynamic contrast-enhanced MRI be used to predict rectal cancer sensitivity to chemoradiotherapy?
    Palmisano A; Esposito A; Rancoita PMV; Di Chiara A; Passoni P; Slim N; Campolongo M; Albarello L; Fiorino C; Rosati R; Del Maschio A; De Cobelli F
    Clin Radiol; 2018 Oct; 73(10):911.e1-911.e7. PubMed ID: 30029837
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Diffusion-weighted MRI and MR- volumetry--in the evaluation of tumor response after preoperative chemoradiotherapy in patients with locally advanced rectal cancer.
    Birlik B; Obuz F; Elibol FD; Celik AO; Sokmen S; Terzi C; Sagol O; Sarioglu S; Gorken I; Oztop I
    Magn Reson Imaging; 2015 Feb; 33(2):201-12. PubMed ID: 25460330
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Prediction of efficacy of neoadjuvant chemoradiotherapy for rectal cancer: the value of texture analysis of magnetic resonance images.
    Shu Z; Fang S; Ye Q; Mao D; Cao H; Pang P; Gong X
    Abdom Radiol (NY); 2019 Nov; 44(11):3775-3784. PubMed ID: 30852633
    [TBL] [Abstract][Full Text] [Related]  

  • 9. MRI and Diffusion-weighted MRI Volumetry for Identification of Complete Tumor Responders After Preoperative Chemoradiotherapy in Patients With Rectal Cancer: A Bi-institutional Validation Study.
    Lambregts DM; Rao SX; Sassen S; Martens MH; Heijnen LA; Buijsen J; Sosef M; Beets GL; Vliegen RA; Beets-Tan RG
    Ann Surg; 2015 Dec; 262(6):1034-9. PubMed ID: 25211270
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Locally advanced rectal cancer: added value of diffusion-weighted MR imaging for predicting tumor clearance of the mesorectal fascia after neoadjuvant chemotherapy and radiation therapy.
    Park MJ; Kim SH; Lee SJ; Jang KM; Rhim H
    Radiology; 2011 Sep; 260(3):771-80. PubMed ID: 21846762
    [TBL] [Abstract][Full Text] [Related]  

  • 11. 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]  

  • 12. Magnetic Resonance Texture Analysis in Identifying Complete Pathological Response to Neoadjuvant Treatment in Locally Advanced Rectal Cancer.
    Aker M; Ganeshan B; Afaq A; Wan S; Groves AM; Arulampalam T
    Dis Colon Rectum; 2019 Feb; 62(2):163-170. PubMed ID: 30451764
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Diffusion-weighted imaging: Apparent diffusion coefficient histogram analysis for detecting pathologic complete response to chemoradiotherapy in locally advanced rectal cancer.
    Choi MH; Oh SN; Rha SE; Choi JI; Lee SH; Jang HS; Kim JG; Grimm R; Son Y
    J Magn Reson Imaging; 2016 Jul; 44(1):212-20. PubMed ID: 26666560
    [TBL] [Abstract][Full Text] [Related]  

  • 14. CT texture analysis in patients with locally advanced rectal cancer treated with neoadjuvant chemoradiotherapy: A potential imaging biomarker for treatment response and prognosis.
    Chee CG; Kim YH; Lee KH; Lee YJ; Park JH; Lee HS; Ahn S; Kim B
    PLoS One; 2017; 12(8):e0182883. PubMed ID: 28797063
    [TBL] [Abstract][Full Text] [Related]  

  • 15. MR Imaging with Apparent Diffusion Coefficient Histogram Analysis: Evaluation of Locally Advanced Rectal Cancer after Chemotherapy and Radiation Therapy.
    Enkhbaatar NE; Inoue S; Yamamuro H; Kawada S; Miyaoka M; Nakamura N; Sadahiro S; Imai Y
    Radiology; 2018 Jul; 288(1):129-137. PubMed ID: 29558294
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Evaluation of diffusion kurtosis and diffusivity from baseline staging MRI as predictive biomarkers for response to neoadjuvant chemoradiation in locally advanced rectal cancer.
    Bates DDB; Mazaheri Y; Lobaugh S; Golia Pernicka JS; Paroder V; Shia J; Zheng J; Capanu M; Petkovska I; Gollub MJ
    Abdom Radiol (NY); 2019 Nov; 44(11):3701-3708. PubMed ID: 31154482
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Apparent diffusion coefficient histogram analysis for predicting neoadjuvant chemoradiotherapy response in patients with rectal cancer.
    Babatürk A; Erden A; Geçim İE
    Diagn Interv Radiol; 2022 Sep; 28(5):403-409. PubMed ID: 35997474
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Diffusion-weighted imaging for evaluating lymph node eradication after neoadjuvant chemoradiation therapy in locally advanced rectal cancer.
    Ryu KH; Kim SH; Yoon JH; Lee Y; Paik JH; Lim YJ; Lee KH
    Acta Radiol; 2016 Feb; 57(2):133-41. PubMed ID: 25638800
    [TBL] [Abstract][Full Text] [Related]  

  • 19. MR-based artificial intelligence model to assess response to therapy in locally advanced rectal cancer.
    Ferrari R; Mancini-Terracciano C; Voena C; Rengo M; Zerunian M; Ciardiello A; Grasso S; Mare' V; Paramatti R; Russomando A; Santacesaria R; Satta A; Solfaroli Camillocci E; Faccini R; Laghi A
    Eur J Radiol; 2019 Sep; 118():1-9. PubMed ID: 31439226
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Locally advanced rectal cancer: added value of diffusion-weighted MR imaging in the evaluation of tumor response to neoadjuvant chemo- and radiation therapy.
    Kim SH; Lee JM; Hong SH; Kim GH; Lee JY; Han JK; Choi BI
    Radiology; 2009 Oct; 253(1):116-25. PubMed ID: 19789256
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 24.