대한핵의학회지 (1967년~2009년)
대한핵의학회지 2000;34(3)234~9
원저 : 유방암이 의심되는 환자에서 Tc-99m MIBI 유방스캔의 진단적 역할 : 단일기관의 결과 ( Diagnostic Role of Tc-99m MIBI Scintimammography in Suspected Breast Cancer Patients: Results of Unicenter Trial )
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Author 김성장(Seong Jang Kim),김인주(ln Ju Kim),김용기(Yong Ki Kim),배영태(Young Tae Bae),
Affiliation
Abstract

Purpose: Tc-99m MIBI scintimammography has been validated as an useful non-invasive diagnostic tool for the primary breast cancer. But most studies have included small population of patients. We have experienced a large study population and investigated the diagnostie usefulness of Tc-99m MIBI scintimammography in detection of primary breast cancer and axillary Iymph node metastasis. Materials and Methods: This study included 30S patients who underwent scintimammography for palpable breast masses or abnormal radiologic findings. Tc-99m MIRI scintirnammography was performed 10 minutes after intravenous injection of 925 MBq of Tc-99m MIBI. If the early image revealed abnormal finding, 3 hour delayed image was also acquired. We calculated early and delayed lesion to non-lesion ratios (L/N). The pathologic diagnosis was obtained from surgical operation or F.4AB and compared with the results of Tc-99m MIBI scintimammography. Results: Malignant breast diseases were 155 and benign ones were 150. Tc-99m MIBI scintimammography revealed 132 true positive, 23 false negative, 10 false positive, and 140 true negative cases. The sensitivity, specificity, positive predictive value and negative predictive value for the primary breast cancer detection were 85.2%, 93.4%, 92.9%, and 85.9%, respectively. The sensitivity, specificity, positive predictive and negative predictive values of Tc-99m MIBI scintimammography in detecting metastatic axillary lymph node involvement were 22%, 90.4%, 61.9% and 62.3%, respectively. Early L/N of malignant breast disease was significantly higher than that of benign one (2,44¡¾0.97 vs 1.94¡¾0.78, p=0.01). Delayed L/N had no significant difference between malignant an

Keyword Tc-99m MIBI, Scintimammography, Breast cancer
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