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 *

341 related articles for article (PubMed ID: 36612083)

  • 1. Predicting Tumor Perineural Invasion Status in High-Grade Prostate Cancer Based on a Clinical-Radiomics Model Incorporating T2-Weighted and Diffusion-Weighted Magnetic Resonance Images.
    Zhang W; Zhang W; Li X; Cao X; Yang G; Zhang H
    Cancers (Basel); 2022 Dec; 15(1):. PubMed ID: 36612083
    [TBL] [Abstract][Full Text] [Related]  

  • 2. 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]  

  • 3. 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]  

  • 4. [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]  

  • 5. Predictive Study of Machine Learning-Based Multiparametric MRI Radiomics Nomogram for Perineural Invasion in Rectal Cancer: A Pilot Study.
    Wang Y; Chen A; Wang K; Zhao Y; Du X; Chen Y; Lv L; Huang Y; Ma Y
    J Imaging Inform Med; 2024 Aug; ():. PubMed ID: 39147885
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Multi-Parametric Magnetic Resonance Imaging-Based Radiomics Analysis of Cervical Cancer for Preoperative Prediction of Lymphovascular Space Invasion.
    Huang G; Cui Y; Wang P; Ren J; Wang L; Ma Y; Jia Y; Ma X; Zhao L
    Front Oncol; 2021; 11():663370. PubMed ID: 35096556
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Elaboration of Multiparametric MRI-Based Radiomics Signature for the Preoperative Quantitative Identification of the Histological Grade in Patients With Non-Small-Cell Lung Cancer.
    Tang X; Bai G; Wang H; Guo F; Yin H
    J Magn Reson Imaging; 2022 Aug; 56(2):579-589. PubMed ID: 35040525
    [TBL] [Abstract][Full Text] [Related]  

  • 8. An MRI-Based Radiomics Model for Predicting the Benignity and Malignancy of BI-RADS 4 Breast Lesions.
    Zhang R; Wei W; Li R; Li J; Zhou Z; Ma M; Zhao R; Zhao X
    Front Oncol; 2021; 11():733260. PubMed ID: 35155178
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Pretreatment MR-based radiomics nomogram as potential imaging biomarker for individualized assessment of perineural invasion status in rectal cancer.
    Chen J; Chen Y; Zheng D; Pang P; Zhang H; Zheng X; Liao J
    Abdom Radiol (NY); 2021 Mar; 46(3):847-857. PubMed ID: 32870349
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Prediction of Lymphovascular Space Invision in Endometrial Cancer based on Multi-parameter MRI Radiomics Model.
    Wang JJ; Zhang XH; Guo XH; Ying Y; Wang X; Luan ZH; Lv WQ; Wang PF
    Curr Med Imaging; 2024 Mar; ():. PubMed ID: 38529651
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Multiparametric MRI radiomics in prostate cancer for predicting Ki-67 expression and Gleason score: a multicenter retrospective study.
    Zhou C; Zhang YF; Guo S; Wang D; Lv HX; Qiao XN; Wang R; Chang DH; Zhao LM; Zhou FH
    Discov Oncol; 2023 Jul; 14(1):133. PubMed ID: 37470865
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Preoperative Prediction of Perineural Invasion Status of Rectal Cancer Based on Radiomics Nomogram of Multiparametric Magnetic Resonance Imaging.
    Zhang Y; Peng J; Liu J; Ma Y; Shu Z
    Front Oncol; 2022; 12():828904. PubMed ID: 35480114
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Using biparametric MRI radiomics signature to differentiate between benign and malignant prostate lesions.
    Xu M; Fang M; Zou J; Yang S; Yu D; Zhong L; Hu C; Zang Y; Dong D; Tian J; Fang X
    Eur J Radiol; 2019 May; 114():38-44. PubMed ID: 31005174
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Radiomics Based on T2-Weighted Imaging and Apparent Diffusion Coefficient Images for Preoperative Evaluation of Lymph Node Metastasis in Rectal Cancer Patients.
    Li C; Yin J
    Front Oncol; 2021; 11():671354. PubMed ID: 34041033
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Radiomics analysis from magnetic resonance imaging in predicting the grade of nonfunctioning pancreatic neuroendocrine tumors: a multicenter study.
    Zhu HB; Zhu HT; Jiang L; Nie P; Hu J; Tang W; Zhang XY; Li XT; Yao Q; Sun YS
    Eur Radiol; 2024 Jan; 34(1):90-102. PubMed ID: 37552258
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Combination Analysis of a Radiomics-Based Predictive Model With Clinical Indicators for the Preoperative Assessment of Histological Grade in Endometrial Carcinoma.
    Zheng T; Yang L; Du J; Dong Y; Wu S; Shi Q; Wang X; Liu L
    Front Oncol; 2021; 11():582495. PubMed ID: 34235069
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Development and Validation of a Radiomics Nomogram for Predicting Clinically Significant Prostate Cancer in PI-RADS 3 Lesions.
    Li T; Sun L; Li Q; Luo X; Luo M; Xie H; Wang P
    Front Oncol; 2021; 11():825429. PubMed ID: 35155214
    [TBL] [Abstract][Full Text] [Related]  

  • 18. MRI-Based Radiomics Nomogram for Predicting Prostate Cancer with Gray-Zone Prostate-Specific Antigen Levels to Reduce Unnecessary Biopsies.
    Zhang L; Zhang J; Tang M; Lei XY; Li LC
    Diagnostics (Basel); 2022 Dec; 12(12):. PubMed ID: 36553012
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Deep learning algorithm-based multimodal MRI radiomics and pathomics data improve prediction of bone metastases in primary prostate cancer.
    Zhang YF; Zhou C; Guo S; Wang C; Yang J; Yang ZJ; Wang R; Zhang X; Zhou FH
    J Cancer Res Clin Oncol; 2024 Feb; 150(2):78. PubMed ID: 38316655
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Preoperative Prediction of Perineural Invasion and Prognosis in Gastric Cancer Based on Machine Learning through a Radiomics-Clinicopathological Nomogram.
    Jia H; Li R; Liu Y; Zhan T; Li Y; Zhang J
    Cancers (Basel); 2024 Jan; 16(3):. PubMed ID: 38339364
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 18.