BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

172 related articles for article (PubMed ID: 32294859)

  • 21. Serum TSGF and miR-214 levels in patients with hepatocellular carcinoma and their predictive value for the curative effect of transcatheter arterial chemoembolization.
    Tang L; Zhang XM
    Ann Palliat Med; 2020 Jul; 9(4):2111-2117. PubMed ID: 32762227
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Value of diffusion-weighted MRI and apparent diffusion coefficient measurements for predicting the response of locally advanced rectal cancer to neoadjuvant chemoradiotherapy.
    Iannicelli E; Di Pietropaolo M; Pilozzi E; Osti MF; Valentino M; Masoni L; Ferri M
    Abdom Radiol (NY); 2016 Oct; 41(10):1906-17. PubMed ID: 27323759
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Diffusion-weighted imaging in differentiating mid-course responders to chemotherapy for long-bone osteosarcoma compared to the histologic response: an update.
    Habre C; Dabadie A; Loundou AD; Banos JB; Desvignes C; Pico H; Aschero A; Colavolpe N; Seiler C; Bouvier C; Peltier E; Gentet JC; Baunin C; Auquier P; Petit P
    Pediatr Radiol; 2021 Aug; 51(9):1714-1723. PubMed ID: 33877417
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Diffusion-weighted magnetic resonance imaging without bowel preparation for detection of ulcerative colitis.
    Yu LL; Yang HS; Zhang BT; Lv ZW; Wang FR; Zhang CY; Chen WB; Zhang HM
    World J Gastroenterol; 2015 Sep; 21(33):9785-92. PubMed ID: 26361426
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Apparent Diffusion Coefficient Predicts Pathology Complete Response of Rectal Cancer Treated with Neoadjuvant Chemoradiotherapy.
    Chen YG; Chen MQ; Guo YY; Li SC; Wu JX; Xu BH
    PLoS One; 2016; 11(4):e0153944. PubMed ID: 27100991
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Investigating the prediction value of multiparametric magnetic resonance imaging at 3 T in response to neoadjuvant chemotherapy in breast cancer.
    Minarikova L; Bogner W; Pinker K; Valkovič L; Zaric O; Bago-Horvath Z; Bartsch R; Helbich TH; Trattnig S; Gruber S
    Eur Radiol; 2017 May; 27(5):1901-1911. PubMed ID: 27651141
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Simultaneous changes of magnetic resonance diffusion-weighted imaging and pathological microstructure in locally advanced cervical cancer caused by neoadjuvant chemotherapy.
    Fu C; Feng X; Bian D; Zhao Y; Fang X; Du W; Wang L; Wang X
    J Magn Reson Imaging; 2015 Aug; 42(2):427-35. PubMed ID: 25328994
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Value of Combined Detection of Serum CEA, CA72-4, CA19-9 and TSGF in the Diagnosis of Gastric Cancer.
    Yin LK; Sun XQ; Mou DZ
    Asian Pac J Cancer Prev; 2015; 16(9):3867-70. PubMed ID: 25987051
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Assessing the Early Response of Advanced Cervical Cancer to Neoadjuvant Chemotherapy Using Intravoxel Incoherent Motion Diffusion-weighted Magnetic Resonance Imaging: A Pilot Study.
    Wang YC; Hu DY; Hu XM; Shen YQ; Meng XY; Tang H; Li Z
    Chin Med J (Engl); 2016 Mar; 129(6):665-71. PubMed ID: 26960369
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Quantitative intravoxel incoherent motion parameters derived from whole-tumor volume for assessing pathological complete response to neoadjuvant chemotherapy in locally advanced rectal cancer.
    Xu Q; Xu Y; Sun H; Chan Q; Shi K; Song A; Wang W
    J Magn Reson Imaging; 2018 Jul; 48(1):248-258. PubMed ID: 29281151
    [TBL] [Abstract][Full Text] [Related]  

  • 31. 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]  

  • 32. [Study of diffusion weighted imaging in combination with conventional MRI signs for inflammation activity of chronic hepatitis B].
    Ren HW; Ye HY; An WM; Dong JH; Liu Y
    Zhonghua Yi Xue Za Zhi; 2017 May; 97(19):1484-1490. PubMed ID: 28535640
    [No Abstract]   [Full Text] [Related]  

  • 33. Role of diffusion-weighted imaging as an adjunct to contrast-enhanced breast MRI in evaluating residual breast cancer following neoadjuvant chemotherapy.
    Hahn SY; Ko EY; Han BK; Shin JH; Ko ES
    Eur J Radiol; 2014 Feb; 83(2):283-8. PubMed ID: 24315957
    [TBL] [Abstract][Full Text] [Related]  

  • 34. The value of diffusion weighted imaging and apparent diffusion coefficient in primary Osteogenic and Ewing sarcomas for the monitoring of response to treatment: Initial experience.
    Asmar K; Saade C; Salman R; Saab R; Khoury NJ; Abboud M; Tamim H; Makki M; Naffaa L
    Eur J Radiol; 2020 Mar; 124():108855. PubMed ID: 32018075
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Evaluation of the neoadjuvant chemotherapy response in osteosarcoma using the MRI DWI-based machine learning radiomics nomogram.
    Zhang L; Gao Q; Dou Y; Cheng T; Xia Y; Li H; Gao S
    Front Oncol; 2024; 14():1345576. PubMed ID: 38577327
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Diffusion-weighted imaging in assessing pathological response of tumor in breast cancer subtype to neoadjuvant chemotherapy.
    Liu S; Ren R; Chen Z; Wang Y; Fan T; Li C; Zhang P
    J Magn Reson Imaging; 2015 Sep; 42(3):779-87. PubMed ID: 25580585
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Diffusion kurtosis imaging predicts neoadjuvant chemotherapy responses within 4 days in advanced nasopharyngeal carcinoma patients.
    Chen Y; Ren W; Zheng D; Zhong J; Liu X; Yue Q; Liu M; Xiao Y; Chen W; Chan Q; Pan J
    J Magn Reson Imaging; 2015 Nov; 42(5):1354-61. PubMed ID: 25873208
    [TBL] [Abstract][Full Text] [Related]  

  • 38. The value of diffusion-weighted magnetic resonance imaging in assessing the response of locally advanced cervical cancer to neoadjuvant chemotherapy.
    Fu C; Bian D; Liu F; Feng X; Du W; Wang X
    Int J Gynecol Cancer; 2012 Jul; 22(6):1037-43. PubMed ID: 22683941
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Impact of Machine Learning With Multiparametric Magnetic Resonance Imaging of the Breast for Early Prediction of Response to Neoadjuvant Chemotherapy and Survival Outcomes in Breast Cancer Patients.
    Tahmassebi A; Wengert GJ; Helbich TH; Bago-Horvath Z; Alaei S; Bartsch R; Dubsky P; Baltzer P; Clauser P; Kapetas P; Morris EA; Meyer-Baese A; Pinker K
    Invest Radiol; 2019 Feb; 54(2):110-117. PubMed ID: 30358693
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Prediction of pathologic response to neoadjuvant chemotherapy in patients with breast cancer using diffusion-weighted imaging and MRS.
    Shin HJ; Baek HM; Ahn JH; Baek S; Kim H; Cha JH; Kim HH
    NMR Biomed; 2012 Dec; 25(12):1349-59. PubMed ID: 22566277
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 9.