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.
139 related articles for article (PubMed ID: 38657641)
1. Deep-learning model for background parenchymal enhancement classification in contrast-enhanced mammography. Ripaud E; Jailin C; Quintana GI; Milioni de Carvalho P; Sanchez de la Rosa R; Vancamberg L Phys Med Biol; 2024 May; 69(11):. PubMed ID: 38657641 [No Abstract] [Full Text] [Related]
2. Background parenchymal enhancement on contrast-enhanced mammography: associations with breast density and patient's characteristics. Magni V; Cozzi A; Muscogiuri G; Benedek A; Rossini G; Fanizza M; Di Giulio G; Sardanelli F Radiol Med; 2024 Sep; 129(9):1303-1312. PubMed ID: 39060886 [TBL] [Abstract][Full Text] [Related]
3. Factors Associated With Background Parenchymal Enhancement on Contrast-Enhanced Mammography. Karimi Z; Phillips J; Slanetz P; Lotfi P; Dialani V; Karimova J; Mehta T AJR Am J Roentgenol; 2021 Feb; 216(2):340-348. PubMed ID: 32755162 [No Abstract] [Full Text] [Related]
4. Impact of background parenchymal enhancement levels on the diagnosis of contrast-enhanced digital mammography in evaluations of breast cancer: comparison with contrast-enhanced breast MRI. Yuen S; Monzawa S; Gose A; Yanai S; Yata Y; Matsumoto H; Ichinose Y; Tashiro T; Yamagami K Breast Cancer; 2022 Jul; 29(4):677-687. PubMed ID: 35220511 [TBL] [Abstract][Full Text] [Related]
5. Breast MRI Background Parenchymal Enhancement Categorization Using Deep Learning: Outperforming the Radiologist. Eskreis-Winkler S; Sutton EJ; D'Alessio D; Gallagher K; Saphier N; Stember J; Martinez DF; Morris EA; Pinker K J Magn Reson Imaging; 2022 Oct; 56(4):1068-1076. PubMed ID: 35167152 [TBL] [Abstract][Full Text] [Related]
6. Comparison of Background Parenchymal Enhancement at Contrast-enhanced Spectral Mammography and Breast MR Imaging. Sogani J; Morris EA; Kaplan JB; D'Alessio D; Goldman D; Moskowitz CS; Jochelson MS Radiology; 2017 Jan; 282(1):63-73. PubMed ID: 27379544 [TBL] [Abstract][Full Text] [Related]
7. Association of Clinical Factors and Degree of Early Background Parenchymal Enhancement on Contrast-Enhanced Mammography. Wang S; Sun Y; You C; Jiang T; Yang M; Shen X; Qian M; Duan S; Lynn HS; Li R; Gu Y AJR Am J Roentgenol; 2023 Jul; 221(1):45-55. PubMed ID: 36695647 [No Abstract] [Full Text] [Related]
8. Fully automatic classification of breast MRI background parenchymal enhancement using a transfer learning approach. Borkowski K; Rossi C; Ciritsis A; Marcon M; Hejduk P; Stieb S; Boss A; Berger N Medicine (Baltimore); 2020 Jul; 99(29):e21243. PubMed ID: 32702902 [TBL] [Abstract][Full Text] [Related]
9. Fully Automatic Assessment of Background Parenchymal Enhancement on Breast MRI Using Machine-Learning Models. Nam Y; Park GE; Kang J; Kim SH J Magn Reson Imaging; 2021 Mar; 53(3):818-826. PubMed ID: 33219624 [TBL] [Abstract][Full Text] [Related]
10. Could parenchymal enhancement on contrast-enhanced spectral mammography (CESM) represent a new breast cancer risk factor? Correlation with known radiology risk factors. Savaridas SL; Taylor DB; Gunawardana D; Phillips M Clin Radiol; 2017 Dec; 72(12):1085.e1-1085.e9. PubMed ID: 28870431 [TBL] [Abstract][Full Text] [Related]
11. AI-Based Cancer Detection Model for Contrast-Enhanced Mammography. Jailin C; Mohamed S; Iordache R; Milioni De Carvalho P; Ahmed SY; Abdel Sattar EA; Moustafa AFI; Gomaa MM; Kamal RM; Vancamberg L Bioengineering (Basel); 2023 Aug; 10(8):. PubMed ID: 37627859 [TBL] [Abstract][Full Text] [Related]
12. Automated rating of background parenchymal enhancement in MRI of extremely dense breasts without compromising the association with breast cancer in the DENSE trial. Wang H; H M van der Velden B; Verburg E; Bakker MF; Pijnappel RM; Veldhuis WB; van Gils CH; Gilhuijs KGA Eur J Radiol; 2024 Jun; 175():111442. PubMed ID: 38583349 [TBL] [Abstract][Full Text] [Related]
13. Analysis of background parenchymal enhancement (BPE) on contrast enhanced spectral mammography compared with magnetic resonance imaging. Luczynska E; Pawlak M; Piegza T; Popiela TJ; Heinze S; Dyczek S; Rudnicki W Ginekol Pol; 2021; 92(2):92-97. PubMed ID: 33448005 [TBL] [Abstract][Full Text] [Related]
14. Contrast-enhanced Mammography-guided Biopsy: Initial Trial and Experience. Kowalski A; Arefan D; Ganott MA; Harnist K; Kelly AE; Lu A; Nair BE; Sumkin JH; Vargo A; Berg WA; Zuley ML J Breast Imaging; 2023 Mar; 5(2):148-158. PubMed ID: 38416936 [TBL] [Abstract][Full Text] [Related]
15. Background Parenchymal Enhancement in Contrast-enhanced Spectral Mammography: A Retrospective Analysis and a Pictorial Review of Clinical Cases. Meucci R; Pistolese CA; Perretta T; Vanni G; Beninati E; DI Tosto F; Serio ML; Caliandro A; Materazzo M; Pellicciaro M; Buonomo OC In Vivo; 2022; 36(2):853-858. PubMed ID: 35241542 [TBL] [Abstract][Full Text] [Related]
16. Comparison of background parenchymal enhancement (BPE) on contrast-enhanced cone-beam breast CT (CE-CBBCT) and breast MRI. Ma Y; Liu A; Zhang Y; Zhu Y; Wang Y; Zhao M; Liang Z; Qu Z; Yin L; Lu H; Ye Z Eur Radiol; 2022 Aug; 32(8):5773-5782. PubMed ID: 35320411 [TBL] [Abstract][Full Text] [Related]
17. Explainable Precision Medicine in Breast MRI: A Combined Radiomics and Deep Learning Approach for the Classification of Contrast Agent Uptake. Nowakowska S; Borkowski K; Ruppert C; Hejduk P; Ciritsis A; Landsmann A; Marcon M; Berger N; Boss A; Rossi C Bioengineering (Basel); 2024 May; 11(6):. PubMed ID: 38927793 [TBL] [Abstract][Full Text] [Related]
18. Background Parenchymal Enhancement at Contrast-Enhanced Spectral Mammography (CESM) as a Breast Cancer Risk Factor. Sorin V; Yagil Y; Shalmon A; Gotlieb M; Faermann R; Halshtok-Neiman O; Sklair-Levy M Acad Radiol; 2020 Sep; 27(9):1234-1240. PubMed ID: 31812577 [TBL] [Abstract][Full Text] [Related]
20. Effects of gadobutrol on background parenchymal enhancement and differential diagnosis between benign and malignant lesions in dynamic magnetic resonance imaging of the breast. Tozaki M; Yabuuchi H; Goto M; Sasaki M; Kubota K; Nakahara H Breast Cancer; 2021 Jul; 28(4):927-936. PubMed ID: 33625722 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]