BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

207 related articles for article (PubMed ID: 35795067)

  • 1. Radiomics-Based Machine Learning Models for Predicting P504s/P63 Immunohistochemical Expression: A Noninvasive Diagnostic Tool for Prostate Cancer.
    Liu YF; Shu X; Qiao XF; Ai GY; Liu L; Liao J; Qian S; He XJ
    Front Oncol; 2022; 12():911426. PubMed ID: 35795067
    [TBL] [Abstract][Full Text] [Related]  

  • 2. MRI Radiomics-Based Machine Learning Models for Ki67 Expression and Gleason Grade Group Prediction in Prostate Cancer.
    Qiao X; Gu X; Liu Y; Shu X; Ai G; Qian S; Liu L; He X; Zhang J
    Cancers (Basel); 2023 Sep; 15(18):. PubMed ID: 37760505
    [TBL] [Abstract][Full Text] [Related]  

  • 3. A machine learning radiomics model based on bpMRI to predict bone metastasis in newly diagnosed prostate cancer patients.
    Xinyang S; Shuang Z; Tianci S; Xiangyu H; Yangyang W; Mengying D; Jingran Z; Feng Y
    Magn Reson Imaging; 2024 Apr; 107():15-23. PubMed ID: 38181835
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Predicting the Grade of Prostate Cancer Based on a Biparametric MRI Radiomics Signature.
    Zhang L; Zhe X; Tang M; Zhang J; Ren J; Zhang X; Li L
    Contrast Media Mol Imaging; 2021; 2021():7830909. PubMed ID: 35024015
    [TBL] [Abstract][Full Text] [Related]  

  • 5. [Application of MRI-based Radiomics Models in the Assessment of Hepatic Metastasis of Rectal Cancer].
    Hu SX; Yang K; Wang XR; Wen DG; Xia CC; Li X; Li ZL
    Sichuan Da Xue Xue Bao Yi Xue Ban; 2021 Mar; 52(2):311-318. PubMed ID: 33829708
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Radiomic-based machine learning model for the accurate prediction of prostate cancer risk stratification.
    Shu X; Liu Y; Qiao X; Ai G; Liu L; Liao J; Deng Z; He X
    Br J Radiol; 2023 Mar; 96(1143):20220238. PubMed ID: 36475858
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Predicting Histopathological Grading of Adult Gliomas Based On Preoperative Conventional Multimodal MRI Radiomics: A Machine Learning Model.
    Du P; Liu X; Wu X; Chen J; Cao A; Geng D
    Brain Sci; 2023 Jun; 13(6):. PubMed ID: 37371390
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Leveraging multimodal MRI-based radiomics analysis with diverse machine learning models to evaluate lymphovascular invasion in clinically node-negative breast cancer.
    Jiang Y; Zeng Y; Zuo Z; Yang X; Liu H; Zhou Y; Fan X
    Heliyon; 2024 Jan; 10(1):e23916. PubMed ID: 38192872
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Use of radiomics based on
    Zhou Y; Ma XL; Zhang T; Wang J; Zhang T; Tian R
    Eur J Nucl Med Mol Imaging; 2021 Aug; 48(9):2904-2913. PubMed ID: 33547553
    [TBL] [Abstract][Full Text] [Related]  

  • 10. [Application of Automated Machine Learning Based on Radiomics Features of T2WI and RS-EPI DWI to Predict Preoperative T Staging of Rectal Cancer].
    Wen DG; Hu SX; Li ZL; Deng XB; Tian C; Li X; Wang XR; Leng Q; Xia CC
    Sichuan Da Xue Xue Bao Yi Xue Ban; 2021 Jul; 52(4):698-705. PubMed ID: 34323052
    [TBL] [Abstract][Full Text] [Related]  

  • 11. A Bayesian optimization tunning integrated multi-stacking classifier framework for the prediction of radiodermatitis from 4D-CT of patients underwent breast cancer radiotherapy.
    Wu K; Miu X; Wang H; Li X
    Front Oncol; 2023; 13():1152020. PubMed ID: 37384290
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Development and Validation of a Magnetic Resonance Imaging-Based Machine Learning Model for TMJ Pathologies.
    Orhan K; Driesen L; Shujaat S; Jacobs R; Chai X
    Biomed Res Int; 2021; 2021():6656773. PubMed ID: 34327235
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Imaging biomarkers to stratify lymph node metastases in abdominal CT - Is radiomics superior to dual-energy material decomposition?
    Mahmoudi S; Koch V; Santos DPD; Ackermann J; Grünewald LD; Weitkamp I; Yel I; Martin SS; Albrecht MH; Scholtz JE; Vogl TJ; Bernatz S
    Eur J Radiol Open; 2023; 10():100459. PubMed ID: 36561422
    [TBL] [Abstract][Full Text] [Related]  

  • 14. 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]  

  • 15. 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]  

  • 16. Prediction of Clinical Outcome for High-Intensity Focused Ultrasound Ablation of Uterine Leiomyomas Using Multiparametric MRI Radiomics-Based Machine Leaning Model.
    Zheng Y; Chen L; Liu M; Wu J; Yu R; Lv F
    Front Oncol; 2021; 11():618604. PubMed ID: 34567999
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Preoperative classification of primary and metastatic liver cancer via machine learning-based ultrasound radiomics.
    Mao B; Ma J; Duan S; Xia Y; Tao Y; Zhang L
    Eur Radiol; 2021 Jul; 31(7):4576-4586. PubMed ID: 33447862
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Transition zone prostate cancer: Logistic regression and machine-learning models of quantitative ADC, shape and texture features are highly accurate for diagnosis.
    Wu M; Krishna S; Thornhill RE; Flood TA; McInnes MDF; Schieda N
    J Magn Reson Imaging; 2019 Sep; 50(3):940-950. PubMed ID: 30701625
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Computed tomography angiography-based radiomics model for predicting carotid atherosclerotic plaque vulnerability.
    Shan D; Wang S; Wang J; Lu J; Ren J; Chen J; Wang D; Qi P
    Front Neurol; 2023; 14():1151326. PubMed ID: 37396779
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Machine Learning Based on MRI DWI Radiomics Features for Prognostic Prediction in Nasopharyngeal Carcinoma.
    Hu Q; Wang G; Song X; Wan J; Li M; Zhang F; Chen Q; Cao X; Li S; Wang Y
    Cancers (Basel); 2022 Jun; 14(13):. PubMed ID: 35804973
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 11.