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 *

273 related articles for article (PubMed ID: 27436029)

  • 1. Limited accuracy of DCE-MRI in identification of pathological complete responders after chemoradiotherapy treatment for rectal cancer.
    Gollub MJ; Tong T; Weiser M; Zheng J; Gonen M; Zakian KL
    Eur Radiol; 2017 Apr; 27(4):1605-1612. PubMed ID: 27436029
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Response to neoadjuvant chemoradiotherapy for locally advanced rectum cancer: Texture analysis of dynamic contrast-enhanced MRI.
    Zou HH; Yu J; Wei Y; Wu JF; Xu Q
    J Magn Reson Imaging; 2019 Mar; 49(3):885-893. PubMed ID: 30079601
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Role of dynamic perfusion magnetic resonance imaging in patients with local advanced rectal cancer.
    Ippolito D; Drago SG; Pecorelli A; Maino C; Querques G; Mariani I; Franzesi CT; Sironi S
    World J Gastroenterol; 2020 May; 26(20):2657-2668. PubMed ID: 32523318
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Dynamic contrast-enhanced magnetic resonance imaging in locally advanced rectal cancer: role of perfusion parameters in the assessment of response to treatment.
    Ciolina M; Caruso D; De Santis D; Zerunian M; Rengo M; Alfieri N; Musio D; De Felice F; Ciardi A; Tombolini V; Laghi A
    Radiol Med; 2019 May; 124(5):331-338. PubMed ID: 30560501
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Multiparametric MRI in the assessment of response of rectal cancer to neoadjuvant chemoradiotherapy: A comparison of morphological, volumetric and functional MRI parameters.
    Hötker AM; Tarlinton L; Mazaheri Y; Woo KM; Gönen M; Saltz LB; Goodman KA; Garcia-Aguilar J; Gollub MJ
    Eur Radiol; 2016 Dec; 26(12):4303-4312. PubMed ID: 26945761
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Predicting Rectal Cancer Response to Neoadjuvant Chemoradiotherapy Using Deep Learning of Diffusion Kurtosis MRI.
    Zhang XY; Wang L; Zhu HT; Li ZW; Ye M; Li XT; Shi YJ; Zhu HC; Sun YS
    Radiology; 2020 Jul; 296(1):56-64. PubMed ID: 32315264
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Correlation between quantitative and semiquantitative parameters in DCE-MRI with a blood pool agent in rectal cancer: can semiquantitative parameters be used as a surrogate for quantitative parameters?
    Dijkhoff RAP; Maas M; Martens MH; Papanikolaou N; Lambregts DMJ; Beets GL; Beets-Tan RGH
    Abdom Radiol (NY); 2017 May; 42(5):1342-1349. PubMed ID: 28050622
    [TBL] [Abstract][Full Text] [Related]  

  • 8. The value of diffusion kurtosis magnetic resonance imaging for assessing treatment response of neoadjuvant chemoradiotherapy in locally advanced rectal cancer.
    Yu J; Xu Q; Song JC; Li Y; Dai X; Huang DY; Zhang L; Li Y; Shi HB
    Eur Radiol; 2017 May; 27(5):1848-1857. PubMed ID: 27631106
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Dynamic contrast-enhanced MRI: Use in predicting pathological complete response to neoadjuvant chemoradiation in locally advanced rectal cancer.
    Tong T; Sun Y; Gollub MJ; Peng W; Cai S; Zhang Z; Gu Y
    J Magn Reson Imaging; 2015 Sep; 42(3):673-80. PubMed ID: 25652254
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Diffusion and perfusion MR parameters to assess preoperative short-course radiotherapy response in locally advanced rectal cancer: a comparative explorative study among Standardized Index of Shape by DCE-MRI, intravoxel incoherent motion- and diffusion kurtosis imaging-derived parameters.
    Fusco R; Sansone M; Granata V; Grimm R; Pace U; Delrio P; Tatangelo F; Botti G; Avallone A; Pecori B; Petrillo A
    Abdom Radiol (NY); 2019 Nov; 44(11):3683-3700. PubMed ID: 30361867
    [TBL] [Abstract][Full Text] [Related]  

  • 11. 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]  

  • 12. Comparison of Diagnostic Performance between Perfusion-Related Intravoxel Incoherent Motion DWI and Dynamic Contrast-Enhanced MRI in Rectal Cancer.
    Li M; Xu X; Xia K; Jiang H; Jiang J; Sun J; Lu Z
    Comput Math Methods Med; 2021; 2021():5095940. PubMed ID: 34367318
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Perfusion MRI for the prediction of treatment response after preoperative chemoradiotherapy in locally advanced rectal cancer.
    Lim JS; Kim D; Baek SE; Myoung S; Choi J; Shin SJ; Kim MJ; Kim NK; Suh J; Kim KW; Keum KC
    Eur Radiol; 2012 Aug; 22(8):1693-700. PubMed ID: 22427184
    [TBL] [Abstract][Full Text] [Related]  

  • 14. 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]  

  • 15. Investigation of volumetric apparent diffusion coefficient histogram analysis for assessing complete response and clinical outcomes following pre-operative chemoradiation treatment for rectal carcinoma.
    Chidambaram V; Brierley JD; Cummings B; Bhayana R; Menezes RJ; Kennedy ED; Kirsch R; Jhaveri KS
    Abdom Radiol (NY); 2017 May; 42(5):1310-1318. PubMed ID: 28004138
    [TBL] [Abstract][Full Text] [Related]  

  • 16. mMRI at 3.0 T as an Evaluation Tool of Therapeutic Response to Neoadjuvant CRT in Patients with Advanced-stage Rectal Cancer.
    Attenberger UI; Ong MM; Rathmann N; Doyon F; Kienle P; Hofheinz RD; Pilz LR; Dinter DJ; Schoenberg SO; Hausmann D
    Anticancer Res; 2017 Jan; 37(1):215-222. PubMed ID: 28011494
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Combined T2w volumetry, DW-MRI and DCE-MRI for response assessment after neo-adjuvant chemoradiation in locally advanced rectal cancer.
    Intven M; Monninkhof EM; Reerink O; Philippens ME
    Acta Oncol; 2015 Nov; 54(10):1729-36. PubMed ID: 25914930
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Can perfusion MRI predict response to preoperative treatment in rectal cancer?
    Martens MH; Subhani S; Heijnen LA; Lambregts DM; Buijsen J; Maas M; Riedl RG; Jeukens CR; Beets GL; Kluza E; Beets-Tan RG
    Radiother Oncol; 2015 Feb; 114(2):218-23. PubMed ID: 25497874
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Machine learning for prediction of chemoradiation therapy response in rectal cancer using pre-treatment and mid-radiation multi-parametric MRI.
    Shi L; Zhang Y; Nie K; Sun X; Niu T; Yue N; Kwong T; Chang P; Chow D; Chen JH; Su MY
    Magn Reson Imaging; 2019 Sep; 61():33-40. PubMed ID: 31059768
    [TBL] [Abstract][Full Text] [Related]  

  • 20. 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]  

    [Next]    [New Search]
    of 14.