205 related articles for article (PubMed ID: 36895526)
1. Radiomics of dynamic contrast-enhanced magnetic resonance imaging parametric maps and apparent diffusion coefficient maps to predict Ki-67 status in breast cancer.
Feng S; Yin J
Front Oncol; 2022; 12():847880. PubMed ID: 36895526
[TBL] [Abstract][Full Text] [Related]
2. 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]
3. Invasive ductal breast cancer: preoperative predict Ki-67 index based on radiomics of ADC maps.
Zhang Y; Zhu Y; Zhang K; Liu Y; Cui J; Tao J; Wang Y; Wang S
Radiol Med; 2020 Feb; 125(2):109-116. PubMed ID: 31696388
[TBL] [Abstract][Full Text] [Related]
4. Intratumoral and Peritumoral Radiomics Based on Functional Parametric Maps from Breast DCE-MRI for Prediction of HER-2 and Ki-67 Status.
Li C; Song L; Yin J
J Magn Reson Imaging; 2021 Sep; 54(3):703-714. PubMed ID: 33955619
[TBL] [Abstract][Full Text] [Related]
5. Radiomics Nomogram Based on Dual-Sequence MRI for Assessing Ki-67 Expression in Breast Cancer.
Zhang L; Shen M; Zhang D; He X; Du Q; Liu N; Huang X
J Magn Reson Imaging; 2023 Dec; ():. PubMed ID: 38088478
[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. Combining Dynamic Contrast-Enhanced Magnetic Resonance Imaging and Apparent Diffusion Coefficient Maps for a Radiomics Nomogram to Predict Pathological Complete Response to Neoadjuvant Chemotherapy in Breast Cancer Patients.
Chen X; Chen X; Yang J; Li Y; Fan W; Yang Z
J Comput Assist Tomogr; 2020; 44(2):275-283. PubMed ID: 32004189
[TBL] [Abstract][Full Text] [Related]
8. Multiparametric MR Imaging Radiomics Signatures for Assessing the Recurrence Risk of ER+/HER2- Breast Cancer Quantified With 21-Gene Recurrence Score.
Chen Y; Tang W; Liu W; Li R; Wang Q; Shen X; Gong J; Gu Y; Peng W
J Magn Reson Imaging; 2023 Aug; 58(2):444-453. PubMed ID: 36440706
[TBL] [Abstract][Full Text] [Related]
9. Multi-Parametric MRI-Based Radiomics Models for Predicting Molecular Subtype and Androgen Receptor Expression in Breast Cancer.
Huang Y; Wei L; Hu Y; Shao N; Lin Y; He S; Shi H; Zhang X; Lin Y
Front Oncol; 2021; 11():706733. PubMed ID: 34490107
[TBL] [Abstract][Full Text] [Related]
10. 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]
11. The Additional Value of Tri-parametric MRI in Identifying Muscle-invasive Status in Bladder Cancer.
Liu Y; Xu X; Wang H; Liu Y; Wang Y; Dong Q; Li Z; Guo Y; Lu H
Acad Radiol; 2023 Jan; 30(1):64-76. PubMed ID: 35676179
[TBL] [Abstract][Full Text] [Related]
12. 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]
13. Generative adversarial network-based super-resolution of diffusion-weighted imaging: Application to tumour radiomics in breast cancer.
Fan M; Liu Z; Xu M; Wang S; Zeng T; Gao X; Li L
NMR Biomed; 2020 Aug; 33(8):e4345. PubMed ID: 32521567
[TBL] [Abstract][Full Text] [Related]
14. Intratumoral and Peritumoral Analysis of Mammography, Tomosynthesis, and Multiparametric MRI for Predicting Ki-67 Level in Breast Cancer: a Radiomics-Based Study.
Jiang T; Song J; Wang X; Niu S; Zhao N; Dong Y; Wang X; Luo Y; Jiang X
Mol Imaging Biol; 2022 Aug; 24(4):550-559. PubMed ID: 34904187
[TBL] [Abstract][Full Text] [Related]
15. Prediction of malignancy by a radiomic signature from contrast agent-free diffusion MRI in suspicious breast lesions found on screening mammography.
Bickelhaupt S; Paech D; Kickingereder P; Steudle F; Lederer W; Daniel H; Götz M; Gählert N; Tichy D; Wiesenfarth M; Laun FB; Maier-Hein KH; Schlemmer HP; Bonekamp D
J Magn Reson Imaging; 2017 Aug; 46(2):604-616. PubMed ID: 28152264
[TBL] [Abstract][Full Text] [Related]
16. Fully automatic classification of breast lesions on multi-parameter MRI using a radiomics model with minimal number of stable, interpretable features.
Zhang J; Zhan C; Zhang C; Song Y; Yan X; Guo Y; Ai T; Yang G
Radiol Med; 2023 Feb; 128(2):160-170. PubMed ID: 36670236
[TBL] [Abstract][Full Text] [Related]
17. MRI-Based Radiomics for Preoperative Prediction of Lymphovascular Invasion in Patients With Invasive Breast Cancer.
Nijiati M; Aihaiti D; Huojia A; Abulizi A; Mutailifu S; Rouzi N; Dai G; Maimaiti P
Front Oncol; 2022; 12():876624. PubMed ID: 35734595
[TBL] [Abstract][Full Text] [Related]
18. An MRI-based Radiomics Classifier for Preoperative Prediction of Ki-67 Status in Breast Cancer.
Liang C; Cheng Z; Huang Y; He L; Chen X; Ma Z; Huang X; Liang C; Liu Z
Acad Radiol; 2018 Sep; 25(9):1111-1117. PubMed ID: 29428211
[TBL] [Abstract][Full Text] [Related]
19. Development and Validation of a Model Using Radiomics Features from an Apparent Diffusion Coefficient Map to Diagnose Local Tumor Recurrence in Patients Treated for Head and Neck Squamous Cell Carcinoma.
Kim M; Lee JH; Joo L; Jeong B; Kim S; Ham S; Yun J; Kim N; Chung SR; Choi YJ; Baek JH; Lee JY; Kim JH
Korean J Radiol; 2022 Nov; 23(11):1078-1088. PubMed ID: 36126954
[TBL] [Abstract][Full Text] [Related]
20. Multi-parametric MRI lesion heterogeneity biomarkers for breast cancer diagnosis.
Tsarouchi MI; Vlachopoulos GF; Karahaliou AN; Vassiou KG; Costaridou LI
Phys Med; 2020 Dec; 80():101-110. PubMed ID: 33137621
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
