Natsuko Onishi1, Masako Kataoka1, Shotaro Kanao1, Hajime Sagawa2, Mami Iima1, Marcel Dominik Nickel3, Masakazu Toi4, Kaori Togashi1. 1. Department of Diagnostic Imaging and Nuclear Medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan. 2. Department of Clinical Radiology Service, Kyoto University Hospital, Kyoto, Japan. 3. MR Application Predevelopment, Siemens Healthcare GmbH, Erlangen, Germany. 4. Department of Breast Surgery, Kyoto University Graduate School of Medicine, Kyoto, Japan.
Abstract
PURPOSE: To evaluate the feasibility of ultrafast dynamic contrast-enhanced (UF-DCE) magnetic resonance imaging (MRI) with compressed sensing (CS) for the separate identification of breast arteries/veins and perform temporal evaluations of breast arteries and veins with a focus on the association with ipsilateral cancers. MATERIALS AND METHODS: Our Institutional Review Board approved this study with retrospective design. Twenty-five female patients who underwent UF-DCE MRI at 3T were included. UF-DCE MRI consisting of 20 continuous frames was acquired using a prototype 3D gradient-echo volumetric interpolated breath-hold sequence including a CS reconstruction: temporal resolution, 3.65 sec/frame; spatial resolution, 0.9 × 1.3 × 2.5 mm. Two readers analyzed 19 maximum intensity projection images reconstructed from subtracted images, separately identified breast arteries/veins and the earliest frame in which they were respectively visualized, and calculated the time interval between arterial and venous visualization (A-V interval) for each breast. RESULTS: In total, 49 breasts including 31 lesions (breast cancer, 16; benign lesion, 15) were identified. In 39 of the 49 breasts (breasts with cancers, 16; breasts with benign lesions, 10; breasts with no lesions, 13), both breast arteries and veins were separately identified. The A-V intervals for breasts with cancers were significantly shorter than those for breasts with benign lesions (P = 0.043) and no lesions (P = 0.007). CONCLUSION: UF-DCE MRI using CS enables the separate identification of breast arteries/veins. Temporal evaluations calculating the time interval between arterial and venous visualization might be helpful in the differentiation of ipsilateral breast cancers from benign lesions. LEVEL OF EVIDENCE: 3 Technical Efficacy: Stage 1 J. Magn. Reson. Imaging 2018;47:97-104.
PURPOSE: To evaluate the feasibility of ultrafast dynamic contrast-enhanced (UF-DCE) magnetic resonance imaging (MRI) with compressed sensing (CS) for the separate identification of breast arteries/veins and perform temporal evaluations of breast arteries and veins with a focus on the association with ipsilateral cancers. MATERIALS AND METHODS: Our Institutional Review Board approved this study with retrospective design. Twenty-five female patients who underwent UF-DCE MRI at 3T were included. UF-DCE MRI consisting of 20 continuous frames was acquired using a prototype 3D gradient-echo volumetric interpolated breath-hold sequence including a CS reconstruction: temporal resolution, 3.65 sec/frame; spatial resolution, 0.9 × 1.3 × 2.5 mm. Two readers analyzed 19 maximum intensity projection images reconstructed from subtracted images, separately identified breast arteries/veins and the earliest frame in which they were respectively visualized, and calculated the time interval between arterial and venous visualization (A-V interval) for each breast. RESULTS: In total, 49 breasts including 31 lesions (breast cancer, 16; benign lesion, 15) were identified. In 39 of the 49 breasts (breasts with cancers, 16; breasts with benign lesions, 10; breasts with no lesions, 13), both breast arteries and veins were separately identified. The A-V intervals for breasts with cancers were significantly shorter than those for breasts with benign lesions (P = 0.043) and no lesions (P = 0.007). CONCLUSION: UF-DCE MRI using CS enables the separate identification of breast arteries/veins. Temporal evaluations calculating the time interval between arterial and venous visualization might be helpful in the differentiation of ipsilateral breast cancers from benign lesions. LEVEL OF EVIDENCE: 3 Technical Efficacy: Stage 1 J. Magn. Reson. Imaging 2018;47:97-104.
Authors: Natsuko Onishi; Meredith Sadinski; Peter Gibbs; Katherine M Gallagher; Mary C Hughes; Eun Sook Ko; Brittany Z Dashevsky; Dattesh D Shanbhag; Maggie M Fung; Theodore M Hunt; Danny F Martinez; Amita Shukla-Dave; Elizabeth A Morris; Elizabeth J Sutton Journal: Eur Radiol Date: 2019-08-29 Impact factor: 5.315
Authors: Angela M Jarrett; Anum S Kazerouni; Chengyue Wu; John Virostko; Anna G Sorace; Julie C DiCarlo; David A Hormuth; David A Ekrut; Debra Patt; Boone Goodgame; Sarah Avery; Thomas E Yankeelov Journal: Nat Protoc Date: 2021-09-22 Impact factor: 13.491
Authors: Chengyue Wu; Guillermo Lorenzo; David A Hormuth; Ernesto A B F Lima; Kalina P Slavkova; Julie C DiCarlo; John Virostko; Caleb M Phillips; Debra Patt; Caroline Chung; Thomas E Yankeelov Journal: Biophys Rev (Melville) Date: 2022-05-17
Authors: Chengyue Wu; Federico Pineda; David A Hormuth; Gregory S Karczmar; Thomas E Yankeelov Journal: Magn Reson Med Date: 2018-10-28 Impact factor: 4.668
Authors: Sara Chirayil; Veronica Clavijo Jordan; André F Martins; Namini Paranawithana; S James Ratnakar; A Dean Sherry Journal: Inorg Chem Date: 2021-01-28 Impact factor: 5.165
Authors: R Elena Ochoa-Albiztegui; Varadan Sevilimedu; Joao V Horvat; Sunitha B Thakur; Thomas H Helbich; Siegfried Trattnig; Elizabeth A Morris; Jeffrey S Reiner; Katja Pinker Journal: Cancers (Basel) Date: 2020-12-14 Impact factor: 6.639
Authors: Natsuko Onishi; Meredith Sadinski; Mary C Hughes; Eun Sook Ko; Peter Gibbs; Katherine M Gallagher; Maggie M Fung; Theodore J Hunt; Danny F Martinez; Amita Shukla-Dave; Elizabeth A Morris; Elizabeth J Sutton Journal: Breast Cancer Res Date: 2020-05-28 Impact factor: 6.466