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.
186 related articles for article (PubMed ID: 31431633)
1. Prediction of Treatment Response to Neoadjuvant Chemotherapy for Breast Cancer via Early Changes in Tumor Heterogeneity Captured by DCE-MRI Registration. Jahani N; Cohen E; Hsieh MK; Weinstein SP; Pantalone L; Hylton N; Newitt D; Davatzikos C; Kontos D Sci Rep; 2019 Aug; 9(1):12114. PubMed ID: 31431633 [TBL] [Abstract][Full Text] [Related]
2. 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]
3. Impact of deformable registration methods for prediction of recurrence free survival response to neoadjuvant chemotherapy in breast cancer: Results from the ISPY 1/ACRIN 6657 trial. Thakran S; Cohen E; Jahani N; Weinstein SP; Pantalone L; Hylton N; Newitt D; DeMichele A; Davatzikos C; Kontos D Transl Oncol; 2022 Jun; 20():101411. PubMed ID: 35395604 [TBL] [Abstract][Full Text] [Related]
4. Early Prediction of Breast Cancer Therapy Response using Multiresolution Fractal Analysis of DCE-MRI Parametric Maps. Machireddy A; Thibault G; Tudorica A; Afzal A; Mishal M; Kemmer K; Naik A; Troxell M; Goranson E; Oh K; Roy N; Jafarian N; Holtorf M; Huang W; Song X Tomography; 2019 Mar; 5(1):90-98. PubMed ID: 30854446 [TBL] [Abstract][Full Text] [Related]
5. Intratumor partitioning and texture analysis of dynamic contrast-enhanced (DCE)-MRI identifies relevant tumor subregions to predict pathological response of breast cancer to neoadjuvant chemotherapy. Wu J; Gong G; Cui Y; Li R J Magn Reson Imaging; 2016 Nov; 44(5):1107-1115. PubMed ID: 27080586 [TBL] [Abstract][Full Text] [Related]
6. Enhancing pathological complete response prediction in breast cancer: the role of dynamic characterization of DCE-MRI and its association with tumor heterogeneity. Zhang X; Teng X; Zhang J; Lai Q; Cai J Breast Cancer Res; 2024 May; 26(1):77. PubMed ID: 38745321 [TBL] [Abstract][Full Text] [Related]
8. Radiomic analysis of DCE-MRI for prediction of response to neoadjuvant chemotherapy in breast cancer patients. Fan M; Wu G; Cheng H; Zhang J; Shao G; Li L Eur J Radiol; 2017 Sep; 94():140-147. PubMed ID: 28712700 [TBL] [Abstract][Full Text] [Related]
9. Radiologic complete response (rCR) in contrast-enhanced magnetic resonance imaging (CE-MRI) after neoadjuvant chemotherapy for early breast cancer predicts recurrence-free survival but not pathologic complete response (pCR). Gampenrieder SP; Peer A; Weismann C; Meissnitzer M; Rinnerthaler G; Webhofer J; Westphal T; Riedmann M; Meissnitzer T; Egger H; Klaassen Federspiel F; Reitsamer R; Hauser-Kronberger C; Stering K; Hergan K; Mlineritsch B; Greil R Breast Cancer Res; 2019 Jan; 21(1):19. PubMed ID: 30704493 [TBL] [Abstract][Full Text] [Related]
10. Predictive value of DCE-MRI for early evaluation of pathological complete response to neoadjuvant chemotherapy in resectable primary breast cancer: A single-center prospective study. Sun YS; He YJ; Li J; Li YL; Li XT; Lu AP; Fan ZQ; Cao K; Ouyang T Breast; 2016 Dec; 30():80-86. PubMed ID: 27652977 [TBL] [Abstract][Full Text] [Related]
11. Intratumoral Spatial Heterogeneity at Perfusion MR Imaging Predicts Recurrence-free Survival in Locally Advanced Breast Cancer Treated with Neoadjuvant Chemotherapy. Wu J; Cao G; Sun X; Lee J; Rubin DL; Napel S; Kurian AW; Daniel BL; Li R Radiology; 2018 Jul; 288(1):26-35. PubMed ID: 29714680 [TBL] [Abstract][Full Text] [Related]
12. Functional Tumor Volume by Fast Dynamic Contrast-Enhanced MRI for Predicting Neoadjuvant Systemic Therapy Response in Triple-Negative Breast Cancer. Musall BC; Abdelhafez AH; Adrada BE; Candelaria RP; Mohamed RMM; Boge M; Le-Petross H; Arribas E; Lane DL; Spak DA; Leung JWT; Hwang KP; Son JB; Elshafeey NA; Mahmoud HS; Wei P; Sun J; Zhang S; White JB; Ravenberg EE; Litton JK; Damodaran S; Thompson AM; Moulder SL; Yang WT; Pagel MD; Rauch GM; Ma J J Magn Reson Imaging; 2021 Jul; 54(1):251-260. PubMed ID: 33586845 [TBL] [Abstract][Full Text] [Related]
13. Early prediction of neoadjuvant treatment outcome in locally advanced breast cancer using parametric response mapping and radial heterogeneity from breast MRI. Drisis S; El Adoui M; Flamen P; Benjelloun M; Dewind R; Paesmans M; Ignatiadis M; Bali M; Lemort M J Magn Reson Imaging; 2020 May; 51(5):1403-1411. PubMed ID: 31737963 [TBL] [Abstract][Full Text] [Related]
14. Quantitative evaluation of breast cancer response to neoadjuvant chemotherapy by diffusion tensor imaging: Initial results. Furman-Haran E; Nissan N; Ricart-Selma V; Martinez-Rubio C; Degani H; Camps-Herrero J J Magn Reson Imaging; 2018 Apr; 47(4):1080-1090. PubMed ID: 28901594 [TBL] [Abstract][Full Text] [Related]
15. Treatment Response Evaluation of Breast Cancer after Neoadjuvant Chemotherapy and Usefulness of the Imaging Parameters of MRI and PET/CT. An YY; Kim SH; Kang BJ; Lee AW J Korean Med Sci; 2015 Jun; 30(6):808-15. PubMed ID: 26028936 [TBL] [Abstract][Full Text] [Related]
16. Early Prediction of Response to Neoadjuvant Chemotherapy Using Dynamic Contrast-Enhanced MRI and Ultrasound in Breast Cancer. Kim Y; Kim SH; Song BJ; Kang BJ; Yim KI; Lee A; Nam Y Korean J Radiol; 2018; 19(4):682-691. PubMed ID: 29962874 [TBL] [Abstract][Full Text] [Related]
17. Background Parenchymal Enhancement on Preoperative Magnetic Resonance Imaging: Association With Recurrence-Free Survival in Breast Cancer Patients Treated With Neoadjuvant Chemotherapy. Choi JS; Ko ES; Ko EY; Han BK; Nam SJ Medicine (Baltimore); 2016 Mar; 95(9):e3000. PubMed ID: 26945421 [TBL] [Abstract][Full Text] [Related]
18. Dynamic contrast-enhanced MRI texture analysis for pretreatment prediction of clinical and pathological response to neoadjuvant chemotherapy in patients with locally advanced breast cancer. Teruel JR; Heldahl MG; Goa PE; Pickles M; Lundgren S; Bathen TF; Gibbs P NMR Biomed; 2014 Aug; 27(8):887-96. PubMed ID: 24840393 [TBL] [Abstract][Full Text] [Related]
19. Effect of Longitudinal Variation in Tumor Volume Estimation for MRI-guided Personalization of Breast Cancer Neoadjuvant Treatment. Onishi N; Bareng TJ; Gibbs J; Li W; Price ER; Joe BN; Kornak J; Esserman LJ; Newitt DC; Hylton NM; ; Radiol Imaging Cancer; 2023 Jul; 5(4):e220126. PubMed ID: 37505107 [TBL] [Abstract][Full Text] [Related]
20. Effect of Imaging Parameter Thresholds on MRI Prediction of Neoadjuvant Chemotherapy Response in Breast Cancer Subtypes. Lo WC; Li W; Jones EF; Newitt DC; Kornak J; Wilmes LJ; Esserman LJ; Hylton NM PLoS One; 2016; 11(2):e0142047. PubMed ID: 26886725 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]