298 related articles for article (PubMed ID: 35773561)
1. A Noninvasive Tool Based on Magnetic Resonance Imaging Radiomics for the Preoperative Prediction of Pathological Complete Response to Neoadjuvant Chemotherapy in Breast Cancer.
Li C; Lu N; He Z; Tan Y; Liu Y; Chen Y; Wu Z; Liu J; Ren W; Mao L; Yu Y; Xie C; Yao H
Ann Surg Oncol; 2022 Nov; 29(12):7685-7693. PubMed ID: 35773561
[TBL] [Abstract][Full Text] [Related]
2. 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]
3. Intra and peritumoral PET radiomics analysis to predict the pathological response in breast cancer patients receiving neoadjuvant chemotherapy.
Aksu A; Güç ZG; Küçüker KA; Alacacıoğlu A; Turgut B
Rev Esp Med Nucl Imagen Mol (Engl Ed); 2024; 43(3):500002. PubMed ID: 38527731
[TBL] [Abstract][Full Text] [Related]
4. Evaluation of Multiparametric MRI Radiomics-Based Nomogram in Prediction of Response to Neoadjuvant Chemotherapy in Breast Cancer: A Two-Center study.
Wang X; Hua H; Han J; Zhong X; Liu J; Chen J
Clin Breast Cancer; 2023 Aug; 23(6):e331-e344. PubMed ID: 37321954
[TBL] [Abstract][Full Text] [Related]
5. Intratumoral and peritumoral radiomics for the pretreatment prediction of pathological complete response to neoadjuvant chemotherapy based on breast DCE-MRI.
Braman NM; Etesami M; Prasanna P; Dubchuk C; Gilmore H; Tiwari P; Plecha D; Madabhushi A
Breast Cancer Res; 2017 May; 19(1):57. PubMed ID: 28521821
[TBL] [Abstract][Full Text] [Related]
6. Radiomic signatures derived from multiparametric MRI for the pretreatment prediction of response to neoadjuvant chemotherapy in breast cancer.
Bian T; Wu Z; Lin Q; Wang H; Ge Y; Duan S; Fu G; Cui C; Su X
Br J Radiol; 2020 Nov; 93(1115):20200287. PubMed ID: 32822542
[TBL] [Abstract][Full Text] [Related]
7. Intratumoral and peritumoral radiomics based on dynamic contrast-enhanced MRI for preoperative prediction of intraductal component in invasive breast cancer.
Xu H; Liu J; Chen Z; Wang C; Liu Y; Wang M; Zhou P; Luo H; Ren J
Eur Radiol; 2022 Jul; 32(7):4845-4856. PubMed ID: 35079887
[TBL] [Abstract][Full Text] [Related]
8. Impact of Machine Learning With Multiparametric Magnetic Resonance Imaging of the Breast for Early Prediction of Response to Neoadjuvant Chemotherapy and Survival Outcomes in Breast Cancer Patients.
Tahmassebi A; Wengert GJ; Helbich TH; Bago-Horvath Z; Alaei S; Bartsch R; Dubsky P; Baltzer P; Clauser P; Kapetas P; Morris EA; Meyer-Baese A; Pinker K
Invest Radiol; 2019 Feb; 54(2):110-117. PubMed ID: 30358693
[TBL] [Abstract][Full Text] [Related]
9. The accuracy of breast MRI radiomic methodologies in predicting pathological complete response to neoadjuvant chemotherapy: A systematic review and network meta-analysis.
O'Donnell JPM; Gasior SA; Davey MG; O'Malley E; Lowery AJ; McGarry J; O'Connell AM; Kerin MJ; McCarthy P
Eur J Radiol; 2022 Dec; 157():110561. PubMed ID: 36308849
[TBL] [Abstract][Full Text] [Related]
10. Multiparametric MRI-based radiomics analysis for prediction of breast cancers insensitive to neoadjuvant chemotherapy.
Xiong Q; Zhou X; Liu Z; Lei C; Yang C; Yang M; Zhang L; Zhu T; Zhuang X; Liang C; Liu Z; Tian J; Wang K
Clin Transl Oncol; 2020 Jan; 22(1):50-59. PubMed ID: 30977048
[TBL] [Abstract][Full Text] [Related]
11. Machine Learning Predicts Pathologic Complete Response to Neoadjuvant Chemotherapy for ER+HER2- Breast Cancer: Integrating Tumoral and Peritumoral MRI Radiomic Features.
Park J; Kim MJ; Yoon JH; Han K; Kim EK; Sohn JH; Lee YH; Yoo Y
Diagnostics (Basel); 2023 Sep; 13(19):. PubMed ID: 37835774
[TBL] [Abstract][Full Text] [Related]
12. 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]
13. Radiomics of Multiparametric MRI for Pretreatment Prediction of Pathologic Complete Response to Neoadjuvant Chemotherapy in Breast Cancer: A Multicenter Study.
Liu Z; Li Z; Qu J; Zhang R; Zhou X; Li L; Sun K; Tang Z; Jiang H; Li H; Xiong Q; Ding Y; Zhao X; Wang K; Liu Z; Tian J
Clin Cancer Res; 2019 Jun; 25(12):3538-3547. PubMed ID: 30842125
[TBL] [Abstract][Full Text] [Related]
14. A delta-radiomic lymph node model using dynamic contrast enhanced MRI for the early prediction of axillary response after neoadjuvant chemotherapy in breast cancer patients.
Liu S; Du S; Gao S; Teng Y; Jin F; Zhang L
BMC Cancer; 2023 Jan; 23(1):15. PubMed ID: 36604679
[TBL] [Abstract][Full Text] [Related]
15. Radiomic and clinical data integration using machine learning predict the efficacy of anti-PD-1 antibodies-based combinational treatment in advanced breast cancer: a multicentered study.
Zhao J; Sun Z; Yu Y; Yuan Z; Lin Y; Tan Y; Duan X; Yao H; Wang Y; Liu J
J Immunother Cancer; 2023 May; 11(5):. PubMed ID: 37217246
[TBL] [Abstract][Full Text] [Related]
16. Predicting pathological complete response to neoadjuvant chemotherapy in breast cancer patients: use of MRI radiomics data from three regions with multiple machine learning algorithms.
Zheng G; Peng J; Shu Z; Jin H; Han L; Yuan Z; Qin X; Hou J; He X; Gong X
J Cancer Res Clin Oncol; 2024 Mar; 150(3):147. PubMed ID: 38512406
[TBL] [Abstract][Full Text] [Related]
17. MRI-based intratumoral and peritumoral radiomics for preoperative prediction of glioma grade: a multicenter study.
Tan R; Sui C; Wang C; Zhu T
Front Oncol; 2024; 14():1401977. PubMed ID: 38803534
[TBL] [Abstract][Full Text] [Related]
18. Prediction of locally advanced rectal cancer response to neoadjuvant chemoradiation therapy using volumetric multiparametric MRI-based radiomics.
El Homsi M; Bane O; Fauveau V; Hectors S; Vietti Violi N; Sylla P; Ko HB; Cuevas J; Carbonell G; Nehlsen A; Vanguri R; Viswanath S; Jambawalikar S; Shaish H; Taouli B
Abdom Radiol (NY); 2024 Mar; 49(3):791-800. PubMed ID: 38150143
[TBL] [Abstract][Full Text] [Related]
19. Intratumoral and peritumoral radiomics for preoperative prediction of neoadjuvant chemotherapy effect in breast cancer based on contrast-enhanced spectral mammography.
Mao N; Shi Y; Lian C; Wang Z; Zhang K; Xie H; Zhang H; Chen Q; Cheng G; Xu C; Dai Y
Eur Radiol; 2022 May; 32(5):3207-3219. PubMed ID: 35066632
[TBL] [Abstract][Full Text] [Related]
20. Development and validation of peritumoral vascular and intratumoral radiomics to predict pathologic complete responses to neoadjuvant chemotherapy in patients with triple-negative breast cancer.
Xie T; Gong J; Zhao Q; Wu C; Wu S; Peng W; Gu Y
BMC Med Imaging; 2024 Jun; 24(1):136. PubMed ID: 38844842
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
