348 related articles for article (PubMed ID: 33893534)
1. Whole-tumor 3D volumetric MRI-based radiomics approach for distinguishing between benign and malignant soft tissue tumors.
Fields BKK; Demirjian NL; Hwang DH; Varghese BA; Cen SY; Lei X; Desai B; Duddalwar V; Matcuk GR
Eur Radiol; 2021 Nov; 31(11):8522-8535. PubMed ID: 33893534
[TBL] [Abstract][Full Text] [Related]
2. Predicting Soft Tissue Sarcoma Response to Neoadjuvant Chemotherapy Using an MRI-Based Delta-Radiomics Approach.
Fields BKK; Demirjian NL; Cen SY; Varghese BA; Hwang DH; Lei X; Desai B; Duddalwar V; Matcuk GR
Mol Imaging Biol; 2023 Aug; 25(4):776-787. PubMed ID: 36695966
[TBL] [Abstract][Full Text] [Related]
3. 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]
4. Ensemble learning-based radiomics with multi-sequence magnetic resonance imaging for benign and malignant soft tissue tumor differentiation.
Lee S; Lee SY; Jung JY; Nam Y; Jeon HJ; Jung CK; Shin SH; Chung YG
PLoS One; 2023; 18(5):e0286417. PubMed ID: 37256875
[TBL] [Abstract][Full Text] [Related]
5. 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]
6. Multi-parametric MRI-based radiomics for the diagnosis of malignant soft-tissue tumor.
Yue Z; Wang X; Yu T; Shang S; Liu G; Jing W; Yang H; Luo Y; Jiang X
Magn Reson Imaging; 2022 Sep; 91():91-99. PubMed ID: 35525523
[TBL] [Abstract][Full Text] [Related]
7. Soft Tissue Sarcomas: Preoperative Predictive Histopathological Grading Based on Radiomics of MRI.
Zhang Y; Zhu Y; Shi X; Tao J; Cui J; Dai Y; Zheng M; Wang S
Acad Radiol; 2019 Sep; 26(9):1262-1268. PubMed ID: 30377057
[TBL] [Abstract][Full Text] [Related]
8. 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]
9. CT-based radiomics analysis of different machine learning models for differentiating benign and malignant parotid tumors.
Zheng Y; Zhou D; Liu H; Wen M
Eur Radiol; 2022 Oct; 32(10):6953-6964. PubMed ID: 35484339
[TBL] [Abstract][Full Text] [Related]
10. MRI Fat-Saturated T2-Weighted Radiomics Model for Identifying the Ki-67 Index of Soft Tissue Sarcomas.
Yang Y; Zhang L; Wang T; Jiang Z; Li Q; Wu Y; Cai Z; Chen X
J Magn Reson Imaging; 2023 Aug; 58(2):534-545. PubMed ID: 36326136
[TBL] [Abstract][Full Text] [Related]
11. Clinical-Radiomics Nomogram from T1W, T1CE, and T2FS MRI for Improving Diagnosis of Soft-Tissue Sarcoma.
Yue Z; Wang X; Wang Y; Wang H; Jiang W
Mol Imaging Biol; 2022 Dec; 24(6):995-1006. PubMed ID: 35799035
[TBL] [Abstract][Full Text] [Related]
12. Soft Tissue Sarcoma: Preoperative MRI-Based Radiomics and Machine Learning May Be Accurate Predictors of Histopathologic Grade.
Xu W; Hao D; Hou F; Zhang D; Wang H
AJR Am J Roentgenol; 2020 Oct; 215(4):963-969. PubMed ID: 32755226
[No Abstract] [Full Text] [Related]
13. Differentiation of benign from malignant solid renal lesions with MRI-based radiomics and machine learning.
Massa'a RN; Stoeckl EM; Lubner MG; Smith D; Mao L; Shapiro DD; Abel EJ; Wentland AL
Abdom Radiol (NY); 2022 Aug; 47(8):2896-2904. PubMed ID: 35723716
[TBL] [Abstract][Full Text] [Related]
14. 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]
15. Magnetic Resonance Imaging-Based Radiomics Nomogram for Prediction of the Histopathological Grade of Soft Tissue Sarcomas: A Two-Center Study.
Yan R; Hao D; Li J; Liu J; Hou F; Chen H; Duan L; Huang C; Wang H; Yu T
J Magn Reson Imaging; 2021 Jun; 53(6):1683-1696. PubMed ID: 33604955
[TBL] [Abstract][Full Text] [Related]
16. Magnetic resonance imaging radiomics predicts preoperative axillary lymph node metastasis to support surgical decisions and is associated with tumor microenvironment in invasive breast cancer: A machine learning, multicenter study.
Yu Y; He Z; Ouyang J; Tan Y; Chen Y; Gu Y; Mao L; Ren W; Wang J; Lin L; Wu Z; Liu J; Ou Q; Hu Q; Li A; Chen K; Li C; Lu N; Li X; Su F; Liu Q; Xie C; Yao H
EBioMedicine; 2021 Jul; 69():103460. PubMed ID: 34233259
[TBL] [Abstract][Full Text] [Related]
17. 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]
18. Tumor grading of soft tissue sarcomas using MRI-based radiomics.
Peeken JC; Spraker MB; Knebel C; Dapper H; Pfeiffer D; Devecka M; Thamer A; Shouman MA; Ott A; von Eisenhart-Rothe R; Nüsslin F; Mayr NA; Nyflot MJ; Combs SE
EBioMedicine; 2019 Oct; 48():332-340. PubMed ID: 31522983
[TBL] [Abstract][Full Text] [Related]
19. Shape and texture-based radiomics signature on CT effectively discriminates benign from malignant renal masses.
Yap FY; Varghese BA; Cen SY; Hwang DH; Lei X; Desai B; Lau C; Yang LL; Fullenkamp AJ; Hajian S; Rivas M; Gupta MN; Quinn BD; Aron M; Desai MM; Aron M; Oberai AA; Gill IS; Duddalwar VA
Eur Radiol; 2021 Feb; 31(2):1011-1021. PubMed ID: 32803417
[TBL] [Abstract][Full Text] [Related]
20. Radiomics nomogram for differentiating between benign and malignant soft-tissue masses of the extremities.
Wang H; Nie P; Wang Y; Xu W; Duan S; Chen H; Hao D; Liu J
J Magn Reson Imaging; 2020 Jan; 51(1):155-163. PubMed ID: 31169956
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
