134 related articles for article (PubMed ID: 35771720)
1. TP53 Mutation Estimation Based on MRI Radiomics Analysis for Breast Cancer.
Sun K; Zhu H; Chai W; Yan F
J Magn Reson Imaging; 2023 Apr; 57(4):1095-1103. PubMed ID: 35771720
[TBL] [Abstract][Full Text] [Related]
2. Multimodality MRI radiomics analysis of TP53 mutations in triple negative breast cancer.
Sun K; Zhu H; Chai W; Yan F
Front Oncol; 2023; 13():1153261. PubMed ID: 37064157
[TBL] [Abstract][Full Text] [Related]
3. Association of Pathological Features and Multiparametric MRI-Based Radiomics With TP53-Mutated Prostate Cancer.
Chen R; Zhou B; Liu W; Gan H; Liu X; Zhou L
J Magn Reson Imaging; 2023 Dec; ():. PubMed ID: 38153859
[TBL] [Abstract][Full Text] [Related]
4. Radiomics Strategy for Molecular Subtype Stratification of Lower-Grade Glioma: Detecting IDH and TP53 Mutations Based on Multimodal MRI.
Zhang X; Tian Q; Wang L; Liu Y; Li B; Liang Z; Gao P; Zheng K; Zhao B; Lu H
J Magn Reson Imaging; 2018 Oct; 48(4):916-926. PubMed ID: 29394005
[TBL] [Abstract][Full Text] [Related]
5. Radiomics-based machine learning analysis and characterization of breast lesions with multiparametric diffusion-weighted MR.
Sun K; Jiao Z; Zhu H; Chai W; Yan X; Fu C; Cheng JZ; Yan F; Shen D
J Transl Med; 2021 Oct; 19(1):443. PubMed ID: 34689804
[TBL] [Abstract][Full Text] [Related]
6. Pretreatment Multiparametric MRI-Based Radiomics Analysis for the Diagnosis of Breast Phyllodes Tumors.
Ma X; Gong J; Hu F; Tang W; Gu Y; Peng W
J Magn Reson Imaging; 2023 Feb; 57(2):633-645. PubMed ID: 35657093
[TBL] [Abstract][Full Text] [Related]
7. Radiomics Based on Multimodal MRI for the Differential Diagnosis of Benign and Malignant Breast Lesions.
Zhang Q; Peng Y; Liu W; Bai J; Zheng J; Yang X; Zhou L
J Magn Reson Imaging; 2020 Aug; 52(2):596-607. PubMed ID: 32061014
[TBL] [Abstract][Full Text] [Related]
8. Comparison of Dynamic Contrast-Enhanced MRI and Non-Mono-Exponential Model-Based Diffusion-Weighted Imaging for the Prediction of Prognostic Biomarkers and Molecular Subtypes of Breast Cancer Based on Radiomics.
Zhang L; Zhou XX; Liu L; Liu AY; Zhao WJ; Zhang HX; Zhu YM; Kuai ZX
J Magn Reson Imaging; 2023 Nov; 58(5):1590-1602. PubMed ID: 36661350
[TBL] [Abstract][Full Text] [Related]
9. A Machine Learning-Based Unenhanced Radiomics Approach to Distinguishing Between Benign and Malignant Breast Lesions Using T2-Weighted and Diffusion-Weighted MRI.
Liu Y; Jia X; Zhao J; Peng Y; Yao X; Hu X; Cui J; Chen H; Chen X; Wu J; Hong N; Wang S; Wang Y
J Magn Reson Imaging; 2023 Nov; ():. PubMed ID: 37933890
[TBL] [Abstract][Full Text] [Related]
10. Classification of pulmonary lesion based on multiparametric MRI: utility of radiomics and comparison of machine learning methods.
Wang X; Wan Q; Chen H; Li Y; Li X
Eur Radiol; 2020 Aug; 30(8):4595-4605. PubMed ID: 32222795
[TBL] [Abstract][Full Text] [Related]
11. Performance evaluation of ML models for preoperative prediction of HER2-low BC based on CE-CBBCT radiomic features: A prospective study.
Chen X; Li M; Liang X; Su D
Medicine (Baltimore); 2024 Jun; 103(24):e38513. PubMed ID: 38875420
[TBL] [Abstract][Full Text] [Related]
12. Prediction of High-Risk Cytogenetic Status in Multiple Myeloma Based on Magnetic Resonance Imaging: Utility of Radiomics and Comparison of Machine Learning Methods.
Liu J; Zeng P; Guo W; Wang C; Geng Y; Lang N; Yuan H
J Magn Reson Imaging; 2021 Oct; 54(4):1303-1311. PubMed ID: 33979466
[TBL] [Abstract][Full Text] [Related]
13. Multisequence magnetic resonance imaging-based radiomics models for the prediction of microsatellite instability in endometrial cancer.
Song XL; Luo HJ; Ren JL; Yin P; Liu Y; Niu J; Hong N
Radiol Med; 2023 Feb; 128(2):242-251. PubMed ID: 36656410
[TBL] [Abstract][Full Text] [Related]
14. Preoperative MRI-Based Radiomic Machine-Learning Nomogram May Accurately Distinguish Between Benign and Malignant Soft-Tissue Lesions: A Two-Center Study.
Wang H; Zhang J; Bao S; Liu J; Hou F; Huang Y; Chen H; Duan S; Hao D; Liu J
J Magn Reson Imaging; 2020 Sep; 52(3):873-882. PubMed ID: 32112598
[TBL] [Abstract][Full Text] [Related]
15. MRI-based radiomics analysis for differentiating phyllodes tumors of the breast from fibroadenomas.
Tsuchiya M; Masui T; Terauchi K; Yamada T; Katyayama M; Ichikawa S; Noda Y; Goshima S
Eur Radiol; 2022 Jun; 32(6):4090-4100. PubMed ID: 35044510
[TBL] [Abstract][Full Text] [Related]
16. External validation and comparison of MR-based radiomics models for predicting pathological complete response in locally advanced rectal cancer: a two-centre, multi-vendor study.
Wei Q; Chen Z; Tang Y; Chen W; Zhong L; Mao L; Hu S; Wu Y; Deng K; Yang W; Liu X
Eur Radiol; 2023 Mar; 33(3):1906-1917. PubMed ID: 36355199
[TBL] [Abstract][Full Text] [Related]
17. Development and validation of a clinicoradiomic nomogram to assess the HER2 status of patients with invasive ductal carcinoma.
Xu A; Chu X; Zhang S; Zheng J; Shi D; Lv S; Li F; Weng X
BMC Cancer; 2022 Aug; 22(1):872. PubMed ID: 35945526
[TBL] [Abstract][Full Text] [Related]
18. Machine Learning-Based Breast Tumor Ultrasound Radiomics for Pre-operative Prediction of Axillary Sentinel Lymph Node Metastasis Burden in Early-Stage Invasive Breast Cancer.
Yao J; Zhou W; Xu S; Jia X; Zhou J; Chen X; Zhan W
Ultrasound Med Biol; 2024 Feb; 50(2):229-236. PubMed ID: 37951821
[TBL] [Abstract][Full Text] [Related]
19. Magnetic Resonance Imaging Radiomics-Based Machine Learning Prediction of Clinically Significant Prostate Cancer in Equivocal PI-RADS 3 Lesions.
Hectors SJ; Chen C; Chen J; Wang J; Gordon S; Yu M; Al Hussein Al Awamlh B; Sabuncu MR; Margolis DJA; Hu JC
J Magn Reson Imaging; 2021 Nov; 54(5):1466-1473. PubMed ID: 33970516
[TBL] [Abstract][Full Text] [Related]
20. Performance of radiomics models for tumour-infiltrating lymphocyte (TIL) prediction in breast cancer: the role of the dynamic contrast-enhanced (DCE) MRI phase.
Tang WJ; Kong QC; Cheng ZX; Liang YS; Jin Z; Chen LX; Hu WK; Liang YY; Wei XH; Guo Y; Jiang XQ
Eur Radiol; 2022 Feb; 32(2):864-875. PubMed ID: 34430998
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
