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Congress: ECR25
Poster Number: C-11930
Type: Poster: EPOS Radiologist (scientific)
Authorblock: M. Amano1, Y. Amano1, N. Ishibashi1, T. Yamaguchi2, M. Watanabe2; 1Tokyo/JP, 2Chiba/JP
Disclosures:
Maki Amano: Nothing to disclose
Yasuo Amano: Nothing to disclose
Naoya Ishibashi: Nothing to disclose
Takeshi Yamaguchi: Nothing to disclose
Mitsuhiro Watanabe: Nothing to disclose
Keywords: Breast, Mammography, MR, Localisation, Surgery, Cancer
References
  1. Tseng J, Kyrillos A, Liederbach E, Spear GG, Ecanow J, Wang CH, et al. Clinical accuracy of preoperative breast MRI for breast cancer. J Surg Oncol. 2017; 115: 924-931.
  2. Preibsch H, Beckmann J, Pawlowski J, Kloth C, Hahn M, Staebler A, et al. Accuracy of Breast Magnetic Resonance Imaging Compared to Mammography in the Preoperative Detection and Measurement of Pure Ductal Carcinoma In Situ: A Retrospective Analysis. Acad Radiol. 2019; 26: 760-765.
  3. Ando T, Ito Y, Ido M, Osawa M, Kousaka J, Mouri Y, et al. Pre-Operative Planning Using Real-Time Virtual Sonography, an MRI/Ultrasound Image Fusion Technique, for Breast-Conserving Surgery in Patients with Non-Mass Enhancement on Breast MRI: A Preliminary Study. Ultrasound Med Biol. 2018; 44:1364-1370.
  4. Goto M, Nakano S, Saito M, Banno H, Ito Y, Ido M, et al. Evaluation of an MRI/US fusion technique for the detection of non-mass enhancement of breast lesions detected by MRI yet occult on conventional B-mode second-look US. J Med Ultrason.2022;49:269-278.
  5. Amano M, Kitabatake T, Nakata O, Ichikawa Y, Inaba R, Ito K, et al. Development of MRI Projection Mapping System for Breast-Conserving Surgery in the Operating Room: Preliminary Clinical Results in Invasive Breast Cancer. Biomed Res Int. 2020; 2020:5314120.
  6. Mîra A, Carton AK, Muller S, Payan Y. A biomechanical breast model evaluated with respect to MRI data collected in three different positions. Clin Biomech (Bristol, Avon). 2018; 60: 191-199.
  7. Zolfagharnasab H, Bessa S, Oliveira SP, Faria P, Teixeira JF, Cardoso JS, et al. A Regression Model for Predicting Shape Deformation after Breast Conserving Surgery. Sensors (Basel). 2018; 18: 167.
  8. Mazier A, Bordas SPA. Breast simulation pipeline: From medical imaging to patient-specific simulations. Clin Biomech (Bristol, Avon). 2024; 111:106153.
  9. Visentin F, Groenhuis V, Maris B, Dall'Alba D, Siepel F, Stramigioli S, et al. Iterative simulations to estimate the elastic properties from a series of MRI images followed by MRI-US validation. Med Biol Eng Comput. 2019; 57:913-924.
  10. Amano M, Amano Y, Ishibashi N, Yamaguchi T, Watanabe M. Association between patient position-induced breast shape changes on prone and supine MRI and mammographic breast density or thickness. Jpn J Radiol. 2024. doi: 10.1007/s11604-024-01708-y.
  11. Patel BK, Pepin K, Brandt KR, Mazza GL, Pockaj BA, Chen J, et al. Association of breast cancer risk, density, and stiffness: global tissue stiffness on breast MR elastography (MRE). Breast Cancer Res Treat. 2022; 19: 79-89.
  12. Briot N, Chagnon G, Connesson N, Payan Y. In vivo measurement of breast tissues stiffness using a light aspiration device. Clin Biomech (Bristol, Avon). 2022; 99: 105743.
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