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Journal Abstract Search

451 related items for 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
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  • 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
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  • 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
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  • 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 19; 8(4):2059-2072. PubMed ID: 36006071
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  • 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 19; 73(10):911.e1-911.e7. PubMed ID: 30029837
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  • 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 19; 33(2):201-12. PubMed ID: 25460330
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  • 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 19; 44(11):3775-3784. PubMed ID: 30852633
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  • 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 19; 62(2):163-170. PubMed ID: 30451764
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  • 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 19; 44(1):212-20. PubMed ID: 26666560
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  • 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 Jul 19; 12(8):e0182883. PubMed ID: 28797063
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  • 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 19; 288(1):129-137. PubMed ID: 29558294
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  • 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 19; 44(11):3701-3708. PubMed ID: 31154482
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  • 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 19; 28(5):403-409. PubMed ID: 35997474
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  • 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 19; 57(2):133-41. PubMed ID: 25638800
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  • 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 19; 118():1-9. PubMed ID: 31439226
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  • 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 19; 253(1):116-25. PubMed ID: 19789256
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