Network
Latest external collaboration on country level. Dive into details by clicking on the dots.
Publication
Featured researches published by Rie Yasuoka.
Acta Radiologica | 2013
Shuichi Monzawa; Tetsuo Washio; Rie Yasuoka; Manabu Mitsuo; Yoichi Kadotani; Keisuke Hanioka
Background Increased use of computed tomography (CT) has resulted in greater detection of incidental breast lesions unrelated to the primary diagnostic inquiry. Purpose To investigate the morphology and clinical significance of breast abnormalities detected incidentally by conventional CT. Material and Methods A total of 2945 female patients underwent CT examinations of the body, including the chest, from May 2006 to April 2010. Two radiologists interpreted these CT scans independently and pointed out a mass or non-mass-like lesion as abnormalities in the breast. Patients who incidentally showed breast lesions on CT scans were identified by a computer-based search of the diagnostic reports and were enrolled in this study. The morphology and enhancement patterns of CT-detected breast lesions were evaluated according to BI-RADS-MRI. Results In total, 32 clinically unexpected abnormal breast lesions were found in 31 (1.1%) patients. Twenty-nine of the 32 lesions were detected by contrast-enhanced CT and three by unenhanced CT. Ten breast cancers were found in 10 patients (0.34%), which yielded the prevalence for malignancy of 31% (10/32). Invasive ductal carcinomas accounted for eight lesions, while two were ductal carcinomas in situ (DCIS). Nine lesions were depicted as a mass and one DCIS was a non-mass-like lesion. Good morphological predictors of breast cancers for a mass were an irregular shape, a lobulated shape, and an irregular margin. Benign lesions accounted for 22 lesions from 21 patients (0.71%). Of these, 13 lesions in 13 patients were depicted as a mass and nine lesions in nine patients as a non-mass-like lesion. Conclusion Unexpected breast lesions can be identified as a mass or non-mass-like lesion on conventional chest CT scans. Among these, breast cancers that are not clinically apparent occur with considerable prevalence. We suggest that careful interpretation of the breast should be a routine part of CT examinations.
Nihon Rinsho Geka Gakkai Zasshi (journal of Japan Surgical Association) | 2007
Rie Yasuoka; Yoshinobu Sonoyama; Hiroshi Fujiki; Shuji Morita; Manabu Mitsuo; Yoichi Kadotani
Nihon Rinsho Geka Gakkai Zasshi (journal of Japan Surgical Association) | 2002
Mamoru Masuyama; Soujin Sai; Yoshihiro Kitagawa; Rie Yasuoka; Yoshimasa Ebihara; Makoto Katoh; Shinsuke Watanabe
Nihon Rinsho Geka Gakkai Zasshi (journal of Japan Surgical Association) | 2007
Rie Yasuoka; Hiroshi Fujiki; Shuji Morita; Manabu Mitsuo; Kenji Kawabata; Yoichi Kadotani
Nihon Rinsho Geka Gakkai Zasshi (journal of Japan Surgical Association) | 2006
Rie Yasuoka; Masatomo Beika; Hiroshi Fujiki; Shuji Morita; Manabu Mitsuo; Kenji Kawabata; Yoichi Kadotani
Nihon Rinsho Geka Gakkai Zasshi (journal of Japan Surgical Association) | 2009
Rie Yasuoka; Shuji Morita; Manabu Mitsuo; Keisuke Hanioka; Yoichi Kadotani
Nihon Rinsho Geka Gakkai Zasshi (journal of Japan Surgical Association) | 2009
Shuji Morita; Rie Yasuoka; Yoshinobu Sonoyama; Hiroshi Fujiki; Manabu Mitsuo; Yoichi Kadotani
Nihon Rinsho Geka Gakkai Zasshi (journal of Japan Surgical Association) | 2005
Rie Yasuoka; Tatsuya Kumano; Shuji Morita; Manabu Mitsuo; Toshihiko Oda; Kenji Kawabata; Yoichi Kadotani
Nihon Rinsho Geka Gakkai Zasshi (journal of Japan Surgical Association) | 2000
Fukuda K; Yuen Nakase; Rie Yasuoka; Mamoru Masuyama; Makoto Kato; Chihiro Yoneyama; Shinsuke Watanabe
Nihon Rinsho Geka Gakkai Zasshi (journal of Japan Surgical Association) | 2014
Rie Yasuoka; Keisuke Hanioka; Manabu Mitsuo