BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

196 related articles for article (PubMed ID: 31727020)

  • 1. Characterizing MRI features of rectal cancers with different KRAS status.
    Xu Y; Xu Q; Ma Y; Duan J; Zhang H; Liu T; Li L; Sun H; Shi K; Xie S; Wang W
    BMC Cancer; 2019 Nov; 19(1):1111. PubMed ID: 31727020
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Could IVIM and ADC help in predicting the KRAS status in patients with rectal cancer?
    Xu Y; Xu Q; Sun H; Liu T; Shi K; Wang W
    Eur Radiol; 2018 Jul; 28(7):3059-3065. PubMed ID: 29450716
    [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 Analysis Differentiating KRAS Mutation Status in Rectal Cancer.
    Oh JE; Kim MJ; Lee J; Hur BY; Kim B; Kim DY; Baek JY; Chang HJ; Park SC; Oh JH; Cho SA; Sohn DK
    Cancer Res Treat; 2020 Jan; 52(1):51-59. PubMed ID: 31096736
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Prediction of different stages of rectal cancer: Texture analysis based on diffusion-weighted images and apparent diffusion coefficient maps.
    Yin JD; Song LR; Lu HC; Zheng X
    World J Gastroenterol; 2020 May; 26(17):2082-2096. PubMed ID: 32536776
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Diffusion kurtosis imaging-derived histogram metrics for prediction of KRAS mutation in rectal adenocarcinoma: Preliminary findings.
    Cui Y; Cui X; Yang X; Zhuo Z; Du X; Xin L; Yang Z; Cheng X
    J Magn Reson Imaging; 2019 Sep; 50(3):930-939. PubMed ID: 30637861
    [TBL] [Abstract][Full Text] [Related]  

  • 7. [Comparative Evaluation of the Value of Quantitative Parameters of Dual-energy CT and MRI for KRAS Mutation in Rectal Cancer].
    Lin XQ; Han T; Jing MY; Deng LN; Zhang B; Zhou JL
    Zhongguo Yi Xue Ke Xue Yuan Xue Bao; 2022 Aug; 44(4):606-613. PubMed ID: 36065693
    [TBL] [Abstract][Full Text] [Related]  

  • 8. 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]  

  • 9. Histogram Analysis of Perfusion Parameters from Dynamic Contrast-Enhanced MR Imaging with Tumor Characteristics and Therapeutic Response in Locally Advanced Rectal Cancer.
    Yeo DM; Oh SN; Choi MH; Lee SH; Lee MA; Jung SE
    Biomed Res Int; 2018; 2018():3724393. PubMed ID: 30186857
    [TBL] [Abstract][Full Text] [Related]  

  • 10. MRI features and texture analysis for the early prediction of therapeutic response to neoadjuvant chemoradiotherapy and tumor recurrence of locally advanced rectal cancer.
    Park H; Kim KA; Jung JH; Rhie J; Choi SY
    Eur Radiol; 2020 Aug; 30(8):4201-4211. PubMed ID: 32270317
    [TBL] [Abstract][Full Text] [Related]  

  • 11. A Deep Learning Model Based on MRI and Clinical Factors Facilitates Noninvasive Evaluation of KRAS Mutation in Rectal Cancer.
    Liu H; Yin H; Li J; Dong X; Zheng H; Zhang T; Yin Q; Zhang Z; Lu M; Zhang H; Wang D
    J Magn Reson Imaging; 2022 Dec; 56(6):1659-1668. PubMed ID: 35587946
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Relationship between KRAS mutation and diffusion weighted imaging in colorectal liver metastases; Preliminary study.
    Gültekin MA; Türk HM; Beşiroğlu M; Toprak H; Yurtsever I; Yilmaz TF; Sharifov R; Uysal Ö
    Eur J Radiol; 2020 Apr; 125():108895. PubMed ID: 32109834
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Development and validation of a MRI-based radiomics signature for prediction of KRAS mutation in rectal cancer.
    Cui Y; Liu H; Ren J; Du X; Xin L; Li D; Yang X; Wang D
    Eur Radiol; 2020 Apr; 30(4):1948-1958. PubMed ID: 31942672
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Prediction of KRAS Mutation in Rectal Cancer Using MRI.
    Shin YR; Kim KA; Im S; Hwang SS; Kim K
    Anticancer Res; 2016 Sep; 36(9):4799-804. PubMed ID: 27630331
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Role of KRAS mutation as predictor of pathologic response after neoadjuvant chemoradiation therapy for rectal cancer.
    Martellucci J; Alemanno G; Castiglione F; Bergamini C; Valeri A
    Updates Surg; 2015 Mar; 67(1):47-53. PubMed ID: 25702261
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Feasibility of MRI Radiomics for Predicting KRAS Mutation in Rectal Cancer.
    Guo XF; Yang WQ; Yang Q; Yuan ZL; Liu YL; Niu XH; Xu HB
    Curr Med Sci; 2020 Dec; 40(6):1156-1160. PubMed ID: 33428144
    [TBL] [Abstract][Full Text] [Related]  

  • 17. CT Texture Analysis: A Potential Biomarker for Evaluating KRAS Mutational Status in Colorectal Cancer.
    Cao J; Wang GR; Wang ZW; Jin ZY
    Chin Med Sci J; 2020 Dec; 35(4):306-314. PubMed ID: 33413746
    [TBL] [Abstract][Full Text] [Related]  

  • 18. 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]  

  • 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. KRAS and Combined KRAS/TP53 Mutations in Locally Advanced Rectal Cancer are Independently Associated with Decreased Response to Neoadjuvant Therapy.
    Chow OS; Kuk D; Keskin M; Smith JJ; Camacho N; Pelossof R; Chen CT; Chen Z; Avila K; Weiser MR; Berger MF; Patil S; Bergsland E; Garcia-Aguilar J
    Ann Surg Oncol; 2016 Aug; 23(8):2548-55. PubMed ID: 27020587
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 10.