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 *

125 related articles for article (PubMed ID: 36591694)

  • 1. A predictive model for early therapeutic efficacy of colorectal liver metastases using multimodal MRI data.
    Su X; Zhang H; Wang Y
    J Xray Sci Technol; 2023; 31(2):357-372. PubMed ID: 36591694
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Deep learning-based radiomics predicts response to chemotherapy in colorectal liver metastases.
    Wei J; Cheng J; Gu D; Chai F; Hong N; Wang Y; Tian J
    Med Phys; 2021 Jan; 48(1):513-522. PubMed ID: 33119899
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Treatment response prediction using MRI-based pre-, post-, and delta-radiomic features and machine learning algorithms in colorectal cancer.
    Shayesteh S; Nazari M; Salahshour A; Sandoughdaran S; Hajianfar G; Khateri M; Yaghobi Joybari A; Jozian F; Fatehi Feyzabad SH; Arabi H; Shiri I; Zaidi H
    Med Phys; 2021 Jul; 48(7):3691-3701. PubMed ID: 33894058
    [TBL] [Abstract][Full Text] [Related]  

  • 4. T2-weighted imaging-based radiomic-clinical machine learning model for predicting the differentiation of colorectal adenocarcinoma.
    Zheng HD; Huang QY; Huang QM; Ke XT; Ye K; Lin S; Xu JH
    World J Gastrointest Oncol; 2024 Mar; 16(3):819-832. PubMed ID: 38577440
    [TBL] [Abstract][Full Text] [Related]  

  • 5. CT-based radiomics for the identification of colorectal cancer liver metastases sensitive to first-line irinotecan-based chemotherapy.
    Qi W; Yang J; Zheng L; Lu Y; Liu R; Ju Y; Niu T; Wang D
    Med Phys; 2023 May; 50(5):2705-2714. PubMed ID: 36841949
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Whole tumor based texture analysis of magnetic resonance diffusion imaging for colorectal liver metastases: A prospective study for diffusion model comparison and early response biomarker.
    Li Y; Zhang H; Yue L; Fu C; Grimm R; Li W; Guo W; Tong T
    Eur J Radiol; 2024 Jan; 170():111203. PubMed ID: 38007855
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Identifying response in colorectal liver metastases treated with bevacizumab: development of RECIST by combining contrast-enhanced and diffusion-weighted MRI.
    Liu LH; Zhou GF; Lv H; Wang ZC; Rao SX; Zeng MS
    Eur Radiol; 2021 Aug; 31(8):5640-5649. PubMed ID: 33449175
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Relevance of apparent diffusion coefficient features for a radiomics-based prediction of response to induction chemotherapy in sinonasal cancer.
    Bologna M; Calareso G; Resteghini C; Sdao S; Montin E; Corino V; Mainardi L; Licitra L; Bossi P
    NMR Biomed; 2022 Apr; 35(4):e4265. PubMed ID: 32009265
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Baseline hepatobiliary MRI for predicting chemotherapeutic response and prognosis in initially unresectable colorectal cancer liver metastases.
    Chen Y; Lu T; Zhang Y; Li H; Xu J; Li M
    Abdom Radiol (NY); 2024 Aug; 49(8):2585-2594. PubMed ID: 39034308
    [TBL] [Abstract][Full Text] [Related]  

  • 10. A clinical-radiomics model incorporating T2-weighted and diffusion-weighted magnetic resonance images predicts the existence of lymphovascular invasion / perineural invasion in patients with colorectal cancer.
    Zhang K; Ren Y; Xu S; Lu W; Xie S; Qu J; Wang X; Shen B; Pang P; Cai X; Sun J
    Med Phys; 2021 Sep; 48(9):4872-4882. PubMed ID: 34042185
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Predicting Treatment Response of Colorectal Cancer Liver Metastases to Conventional Lipiodol-Based Transarterial Chemoembolization Using Diffusion-Weighted MR Imaging: Value of Pretreatment Apparent Diffusion Coefficients (ADC) and ADC Changes Under Therapy.
    Lahrsow M; Albrecht MH; Bickford MW; Vogl TJ
    Cardiovasc Intervent Radiol; 2017 Jun; 40(6):852-859. PubMed ID: 28357571
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Classifying early stages of cervical cancer with MRI-based radiomics.
    Zhao X; Wang X; Zhang B; Liu X; Xuan D; Xia Y; Zhang X
    Magn Reson Imaging; 2022 Jun; 89():70-76. PubMed ID: 35337907
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Machine learning-based radiomic models to predict intensity-modulated radiation therapy response, Gleason score and stage in prostate cancer.
    Abdollahi H; Mofid B; Shiri I; Razzaghdoust A; Saadipoor A; Mahdavi A; Galandooz HM; Mahdavi SR
    Radiol Med; 2019 Jun; 124(6):555-567. PubMed ID: 30607868
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Epithelial salivary gland tumors: Utility of radiomics analysis based on diffusion-weighted imaging for differentiation of benign from malignant tumors.
    Shao S; Mao N; Liu W; Cui J; Xue X; Cheng J; Zheng N; Wang B
    J Xray Sci Technol; 2020; 28(4):799-808. PubMed ID: 32538891
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Potential of MR histogram analyses for prediction of response to chemotherapy in patients with colorectal hepatic metastases.
    Liang HY; Huang YQ; Yang ZX; Ying-Ding ; Zeng MS; Rao SX
    Eur Radiol; 2016 Jul; 26(7):2009-18. PubMed ID: 26494642
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Prediction of Therapeutic Effect to Treatment in Patients with Colorectal Liver Metastases Using Functional Magnetic Resonance Imaging and RECIST Criteria: A Pilot Study in Comparison between Bevacizumab-Containing Chemotherapy and Standard Chemotherapy.
    Zhu HB; Xu D; Zhang XY; Li XT; Xing BC; Sun YS
    Ann Surg Oncol; 2022 Jun; 29(6):3938-3949. PubMed ID: 35013857
    [TBL] [Abstract][Full Text] [Related]  

  • 17. A radiomics method based on MR FS-T2WI sequence for diagnosing of autosomal dominant polycystic kidney disease progression.
    Cong L; Hua QQ; Huang ZQ; Ma QL; Wang XM; Huang CC; Xu JX; Ma T
    Eur Rev Med Pharmacol Sci; 2021 Sep; 25(18):5769-5780. PubMed ID: 34604968
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Bi-parametric magnetic resonance imaging based radiomics for the identification of benign and malignant prostate lesions: cross-vendor validation.
    Ji X; Zhang J; Shi W; He D; Bao J; Wei X; Huang Y; Liu Y; Chen JC; Gao X; Tang Y; Xia W
    Phys Eng Sci Med; 2021 Sep; 44(3):745-754. PubMed ID: 34075559
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Magnetic resonance imaging-radiomics evaluation of response to chemotherapy for synchronous liver metastasis of colorectal cancer.
    Ma YQ; Wen Y; Liang H; Zhong JG; Pang PP
    World J Gastroenterol; 2021 Oct; 27(38):6465-6475. PubMed ID: 34720535
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Radiomics Texture Analysis for the Identification of Colorectal Liver Metastases Sensitive to First-Line Oxaliplatin-Based Chemotherapy.
    Nakanishi R; Oki E; Hasuda H; Sano E; Miyashita Y; Sakai A; Koga N; Kuriyama N; Nonaka K; Fujimoto Y; Jogo T; Hokonohara K; Hu Q; Hisamatsu Y; Ando K; Kimura Y; Yoshizumi T; Mori M
    Ann Surg Oncol; 2021 Jun; 28(6):2975-2985. PubMed ID: 33454878
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.