Coskun Bilge Almila, Aydin Hale
Department of Radiology, Dr Abdurrahman Yurtaslan Ankara Oncology Training and Research Hospital, Ankara, Turkey.
Department of Radiology, University of Health Sciences, Gulhane Faculty of Medicine, Ankara, Turkey.
Eur J Radiol. 2024 Dec;181:111713. doi: 10.1016/j.ejrad.2024.111713. Epub 2024 Sep 1.
To investigate the effectiveness of diffusion-weighted imaging (DWI) as a supplementary tool to the Kaiser score (KS) in diagnosing breast cancer in non-mass enhancement (NME) lesions using breast magnetic resonance imaging (MRI).
This single-center, retrospective study analyzed 360 cases with NME on MRI images. Two breast radiologists independently evaluated each lesion using the Kaiser score (KS) and apparent diffusion coefficient (ADC) values, without knowledge of the pathological outcomes. NME lesions with a KS above 4 and an ADC value below 1.3 × 10mm/s were classified as malignant. Inter-rater reliability was determined using Cohen's Kappa (κ) statistics. The diagnostic performance of KS, DWI, and their combination was assessed by calculating sensitivity, specificity, and the area under the curve (AUC), and the results were compared across the benign and malignant groups.
The diagnostic performance of KS surpassed that of DWI in predicting the malignancy of NMEs (p = 0.003). The sensitivity of KS alone was 93 %; however, when ADC data was incorporated, the sensitivity decreased to 86 %, with no significant difference observed (p = 0.060). The specificity of the combined KS and ADC (94 %) was significantly higher than that of KS alone (89 %) and DWI alone (73 %) (p < 0.001).
Our findings indicated that although the combination of KS and ADC increased specificity and reduced unnecessary biopsies, the resulting decrease in sensitivity was unacceptable. Therefore, KS alone is superior to the KS-ADC combination in detecting malignancy in NME lesions.
探讨扩散加权成像(DWI)作为凯泽评分(KS)的辅助工具,在利用乳腺磁共振成像(MRI)诊断非肿块强化(NME)病变中的乳腺癌的有效性。
这项单中心回顾性研究分析了360例MRI图像上表现为NME的病例。两名乳腺放射科医生在不知道病理结果的情况下,使用凯泽评分(KS)和表观扩散系数(ADC)值独立评估每个病变。KS高于4且ADC值低于1.3×10⁻³mm²/s的NME病变被归类为恶性。使用科恩卡帕(κ)统计量确定评分者间信度。通过计算敏感性、特异性和曲线下面积(AUC)来评估KS、DWI及其组合的诊断性能,并在良性和恶性组之间比较结果。
在预测NME的恶性程度方面,KS的诊断性能超过了DWI(p = 0.003)。单独使用KS时的敏感性为93%;然而,纳入ADC数据后,敏感性降至86%,差异无统计学意义(p = 0.060)。KS和ADC联合使用时的特异性(94%)显著高于单独使用KS(89%)和单独使用DWI(73%)(p < 0.001)。
我们的研究结果表明,尽管KS和ADC的联合使用提高了特异性并减少了不必要的活检,但敏感性的降低是不可接受的。因此,在检测NME病变中的恶性肿瘤方面,单独使用KS优于KS-ADC联合使用。