Journal of the Korean Society of Radiology (대한영상의학회지)

The Korean Society of Radiology (대한영상의학회)
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Scoring System to Predict Malignancy for MRI-Detected Lesions in Breast Cancer Patients: Diagnostic Performance and Effect on Second-Look Ultrasonography

유방암 환자의 MRI에서 발견된 병변의 악성 예측을 위한 점수체계: 진단적 능력과 이차 초음파 결정에 미치는 영향

  • Young Geol Kwon (Department of Radiology, CHA Bundang Medical Center, CHA University) ;
  • Ah Young Park (Department of Radiology, CHA Bundang Medical Center, CHA University)
  • 권영걸 (차의과학대학교 분당차병원 영상의학과) ;
  • 박아영 (차의과학대학교 분당차병원 영상의학과)
  • Received : 2019.05.25
  • Accepted : 2019.07.30
  • Published : 2020.03.01
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Abstract

Purpose To design a scoring system to predict malignancy of additional MRI-detected lesions in breast cancer patients. Materials and Methods Eighty-six lesions (64 benign and 22 malignant) detected on preoperative MRI of 68 breast cancer patients were retrospectively included. The clinico-radiologic features were correlated with the histopathologic results using the Student's t-test, Fisher's exact test, and logistic regression analysis. The scoring system was designed based on the significant predictive features of malignancy, and its diagnostic performance was compared with that of the Breast Imaging-Reporting and Data System (BI-RADS) category. Results Lesion size ≥ 8 mm (p < 0.001), location in the same quadrant as the primary cancer (p = 0.005), delayed plateau kinetics (p = 0.010), T2 isointense (p = 0.034) and hypointense (p = 0.024) signals, and irregular mass shape (p = 0.028) were associated with malignancy. In comparison with the BI-RADS category, the scoring system based on these features with suspicious non-mass internal enhancement increased the diagnostic performance (area under the receiver operating characteristic curve: 0.918 vs. 0.727) and detected three false-negative cases. With this scoring system, 22 second-look ultrasound examinations (22/66, 33.3%) could have been avoided. Conclusion The scoring system based on the lesion size, location relative to the primary cancer, delayed kinetic features, T2 signal intensity, mass shape, and non-mass internal enhancement can provide a more accurate approach to evaluate MRI-detected lesions in breast cancer patients.

목적 유방암 환자의 MRI에서 발견된 추가적 병변의 악성 예측을 위한 점수체계를 설계하고자 하였다. 대상과 방법 68명 유방암 환자의 86개 MRI 발견 병변(64 양성, 22 악성)이 후향적으로 연구되었다. 스튜던트 t 검정, Fisher 정확검정, 로짓 회귀분석을 이용해 영상적 소견과 조직학적 결과의 상관관계를 분석했다. 의미 있는 악성 시사 소견을 기반으로 한 점수체계를 설계하고 그 것의 진단적 능력을 Breast Imaging-Reporting and Data System (이하 BI-RADS) category와 비교하였다. 결과 병변 크기 ≥ 8 mm (p < 0.001), 주 병소와 동일한 사분면에 위치(p = 0.005), 지연기의 고원형 조영 증강(p = 0.010), T2 등신호(p = 0.034) 혹은 저신호 강도(p = 0.024), 불규칙한 종괴 모양(p = 0.028)이 악성과 관련 있었다. 이 소견들과 의심스러운 비종괴 내부 조영 양상을 바탕으로 한 점수체계는 BI-RADS의 진단적 능력을 향상시켰고(area under the curve, 0.918 vs. 0.727), 3개의 위음성 케이스를 방지할 수 있었다. 또한, 22개의 불필요한 2차 초음파 검사(22/66, 33.3%)를 줄일 수 있었다. 결론 병변 크기, 주 병소와의 상대적 위치, 지연기의 조영 증강 양상, T2 신호강도, 종괴의 모양 및 비종괴 내부 조영 양상을 기반으로 한 점수체계는 유방암 환자의 MRI 발견 병소를 평가하는데 있어 정확도를 높여 줄 수 있다.

Keywords

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