BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

723 related articles for article (PubMed ID: 32536776)

  • 1. 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]  

  • 2. Application of texture analysis based on apparent diffusion coefficient maps in discriminating different stages of rectal cancer.
    Liu L; Liu Y; Xu L; Li Z; Lv H; Dong N; Li W; Yang Z; Wang Z; Jin E
    J Magn Reson Imaging; 2017 Jun; 45(6):1798-1808. PubMed ID: 27654307
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Prediction of Clinical Pathologic Prognostic Factors for Rectal Adenocarcinoma: Volumetric Texture Analysis Based on Apparent Diffusion Coefficient Maps.
    Lu Z; Wang L; Xia K; Jiang H; Weng X; Jiang J; Wu M
    J Med Syst; 2019 Nov; 43(12):331. PubMed ID: 31701309
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Rectal Cancer Invasiveness: Whole-Lesion Diffusion-Weighted Imaging (DWI) Histogram Analysis by Comparison of Reduced Field-of-View and Conventional DWI Techniques.
    Peng Y; Tang H; Hu X; Shen Y; Kamel I; Li Z; Hu D
    Sci Rep; 2019 Dec; 9(1):18760. PubMed ID: 31822707
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Improving lymph node characterization in staging malignant lymphoma using first-order ADC texture analysis from whole-body diffusion-weighted MRI.
    De Paepe KN; De Keyzer F; Wolter P; Bechter O; Dierickx D; Janssens A; Verhoef G; Oyen R; Vandecaveye V
    J Magn Reson Imaging; 2018 Oct; 48(4):897-906. PubMed ID: 29656584
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Predicting the pathological response to chemoradiotherapy of non-mucinous rectal cancer using pretreatment texture features based on intravoxel incoherent motion diffusion-weighted imaging.
    Liu S; Wen L; Hou J; Nie S; Zhou J; Cao F; Lu Q; Qin Y; Fu Y; Yu X
    Abdom Radiol (NY); 2019 Aug; 44(8):2689-2698. PubMed ID: 31030244
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Histogram analysis of diffusion-weighted magnetic resonance imaging as a biomarker to predict LNM in T3 stage rectal carcinoma.
    Zhou Y; Yang R; Wang Y; Zhou M; Zhou X; Xing J; Wang X; Zhang C
    BMC Med Imaging; 2021 Nov; 21(1):176. PubMed ID: 34809615
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Diffusion-Weighted Magnetic Resonance Imaging of 103 Patients with Rectal Adenocarcinoma Identifies the Apparent Diffusion Coefficient as an Imaging Marker for Tumor Invasion and Regional Lymph Node Involvement.
    Kargol J; Rudnicki W; Kenig J; Filipowska J; Kaznowska E; Kluz T; Guz W; Łuczyńska E
    Med Sci Monit; 2021 Dec; 27():e934941. PubMed ID: 34871292
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Whole-lesion apparent diffusion coefficient histogram analysis: significance in T and N staging of gastric cancers.
    Liu S; Zhang Y; Chen L; Guan W; Guan Y; Ge Y; He J; Zhou Z
    BMC Cancer; 2017 Oct; 17(1):665. PubMed ID: 28969606
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Comparison of reduced field-of-view diffusion-weighted imaging (DWI) and conventional DWI techniques in the assessment of rectal carcinoma at 3.0T: Image quality and histological T staging.
    Peng Y; Li Z; Tang H; Wang Y; Hu X; Shen Y; Hu D
    J Magn Reson Imaging; 2018 Apr; 47(4):967-975. PubMed ID: 28691219
    [TBL] [Abstract][Full Text] [Related]  

  • 11. The usefulness of b value threshold map in the evaluation of rectal adenocarcinoma.
    Shen F; Chen L; Li Z; Lu H; Chen Y; Wang Z; Fu C; Grimm R; Lu J
    Abdom Radiol (NY); 2020 Feb; 45(2):332-341. PubMed ID: 31642964
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Complementary value of pre-treatment apparent diffusion coefficient in rectal cancer for predicting tumor recurrence.
    Moon SJ; Cho SH; Kim GC; Kim WH; Kim HJ; Shin KM; Lee SM; Park JS; Choi GS; Kim SH
    Abdom Radiol (NY); 2016 Jul; 41(7):1237-44. PubMed ID: 26830420
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Assessment of histologic prognostic factors of resectable rectal cancer: comparison of diagnostic performance using various apparent diffusion coefficient parameters.
    Li H; Chen GW; Liu YS; Pu H; Yin LL; Hou NY; Chen XL
    Sci Rep; 2020 Jul; 10(1):11554. PubMed ID: 32665546
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Radiomics assessment of bladder cancer grade using texture features from diffusion-weighted imaging.
    Zhang X; Xu X; Tian Q; Li B; Wu Y; Yang Z; Liang Z; Liu Y; Cui G; Lu H
    J Magn Reson Imaging; 2017 Nov; 46(5):1281-1288. PubMed ID: 28199039
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Distinguishing T1-2 and T3a tumors of rectal cancer with texture analysis and functional MRI parameters.
    Sun D; Wu X; Wang L; Li G; Huang J; Li Y
    Diagn Interv Radiol; 2022 May; 28(3):200-207. PubMed ID: 35748201
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Intravoxel Incoherent Motion MRI of Rectal Cancer: Correlation of Diffusion and Perfusion Characteristics With Prognostic Tumor Markers.
    Sun H; Xu Y; Song A; Shi K; Wang W
    AJR Am J Roentgenol; 2018 Apr; 210(4):W139-W147. PubMed ID: 29446674
    [TBL] [Abstract][Full Text] [Related]  

  • 17. 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]  

  • 18. 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]  

  • 19. 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]  

  • 20. Diffusion-weighted imaging of rectal cancer on repeatability and cancer characterization: an effect of b-value distribution study.
    Chen L; Shen F; Li Z; Lu H; Chen Y; Wang Z; Lu J
    Cancer Imaging; 2018 Nov; 18(1):43. PubMed ID: 30442202
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 37.