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Whole-breast volume perfusion images using 256-row multislice computed tomography: visualization of lesions with ductal spread
Authors:Sadako Akashi-Tanaka  Tadahiko Shien  Shinsuke Tsukagoshi  Shintaro Funabasama  Kunihisa Miyagawa  Kotoe Terada  Miwa Yoshida  Takashi Hojo  Takayuki Kinoshita  Noriyuki Moriyama
Affiliation:(1) Department of Breast Surgery, National Cancer Center Hospital, 1-1 Tsukiji 5-chome, Chuo-ku, Tokyo 104-0045, Japan;(2) CT Systems Development Department, Toshiba Medical Systems Corporation, 1385 Shimoishigami, Otawara Tochigi, 324-8550, Japan;(3) Department of Radiology, National Cancer Center Hospital, 1-1 Tsukiji 5-chome, Chuo-ku, Tokyo 104-0045, Japan;(4) Association of Health and Welfare of Nagano Agricultural Cooperatives Nagano PET Imaging and Diagnostic Center, 6-6-10 Wakasato, Nagano 380-0928, Japan;(5) Research Center for Cancer Prevention and Screening, National Cancer Center Hospital, 1-1 Tsukiji 5-chome, Chuo-ku, Tokyo 104-0045, Japan
Abstract:Background  The aim of this study was to apply perfusion techniques to breast tumors using a prototype 256-row multislice computed tomography (CT) scanner (which allows a wide range of 128 mm to be scanned and can provide whole-breast perfusion maps without any dead angles) to improve contrast and assess the possibility of precisely depicting the extent of breast cancer. Patients and methods  The study group included seven patients with breast cancer who were scheduled to undergo radical surgery and radiotherapy. Dynamic scanning was performed using a 256-row multislice CT scanner during normal respiration. Volume perfusion images of the entire breast were obtained using the maximum slope method. Perfusion map images and early-phase breast CT images at 54 s were compared by means of pathological examination. Results  All breast cancers could be distinguished from normal mammary glands based on the perfusion value. The extent of cancer depicted in perfusion images showed excellent agreement with the pathology findings for invasive ductal carcinoma and ductal carcinoma in situ. In three patients, all ductal spread, parts of which were not visualized by early-phase CT, were depicted in volume perfusion images. Simulation analysis suggested that perfusion maps could be generated with fewer scanning points. Conclusion  The results of the present study suggest that volume perfusion imaging may be useful for depicting the extent of breast cancer, with excellent sensitivity. Further research is needed to determine the clinical relevance of these findings.
Keywords:Breast cancer  Breast-conserving surgery  Ductal spread  Multislice CT  Perfusion map
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