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Tracking the Mammary Architectural Features and Detecting Breast Cancer with Magnetic Resonance Diffusion Tensor Imaging
Published on: December 15, 2014
Assessing the extent of breast cancer using multidetector row helical computed tomography
Kei Takase1, Akihiko Furuta, Narumi Harada
1Department of Radiology, Tohoku University School of Medicine, Miyagi, and Department of Breast Surgery, Ishinomaki Red Cross Hospital, Ishinomaki, Japan. kytakase@mb.infoweb.ne.jp
Objective:
The aim of the study was to evaluate the usefulness of multidetector row helical computed tomography (MD-CT) in assessing the local extent of breast cancer.
Methods:
Seventy-five breast cancer patients were examined using MD-CT with scanning performed in the supine position at 1-mm collimation. The extent of the breast tumors determined using CT was compared with that based on histopathologic mapping with continuous 5-mm slices.
Results:
The CT evaluation of the maximum diameter of the extent of breast cancer was much better correlated with the histopathologic diagnosis (correlation coefficient=0.90) than the pre-CT diagnosis (correlation coefficient=0.46). Computed tomography correctly detected mammographically and clinically occult cancer other than the index lesion in 14 of 15 patients. The sensitivity, specificity, and accuracy in the diagnosis of the additional lesions were 93.3%, 98.3%, and 97.3%, respectively. Because the images were obtained in the supine position, they were useful for surgical planning.
Conclusion:
The extent of breast cancer can be determined accurately using MD-CT.
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