Hijazi Madiha, Chahine Reve, Berjawi Ghina, Jabbour Yara, El Annan Tamara, Ibrahim Roy, Nassar Lara
Department of Diagnostic Radiology, American University of Beirut Medical Center, Beirut 1107, Lebanon.
Department of Diagnostic Radiology, Lebanese American University Medical Center, Beirut 1100, Lebanon.
Diagnostics (Basel). 2024 Aug 8;14(16):1726. doi: 10.3390/diagnostics14161726.
(1) Background: The Kaiser score is a user-friendly tool that evaluates lesions on breast MRI and has been studied in the general population and a few specific clinical scenarios. We aim to evaluate the performance of the Kaiser score in the characterization of additional lesions identified on staging breast MRI. (2) Methods: The Kaiser score of the biopsied additional lesions identified on staging MRI in recently diagnosed breast cancer patients was retrospectively determined. Statistical analysis was performed to evaluate the diagnostic capability of the Kaiser score and whether it is affected by different imaging and pathological parameters of the additional and the index lesion. (3) Results: Seventy-six patients with ninety-two MRI-detected lesions constitute the studied population. There was a statistically significant difference in the Kaiser score between benign and malignant lesions, irrespective of the pathology of the index cancer ( = 0.221) or the size and the imaging features of the additional lesion. Using a cutoff of 5 and above for suspicious lesions, biopsy could have been avoided in 34/92 lesions. (4) Conclusions: The Kaiser score can assist radiologists in the evaluation of additional MRI lesions identified in recently diagnosed breast cancer patients, thus decreasing the number of unneeded biopsies and delays in definitive surgical management.
(1) 背景：凯泽评分是一种便于使用的工具，用于评估乳腺MRI上的病变，已在普通人群和一些特定临床场景中进行了研究。我们旨在评估凯泽评分在对分期乳腺MRI上发现的额外病变进行特征描述方面的性能。(2) 方法：回顾性确定近期诊断为乳腺癌患者分期MRI上活检的额外病变的凯泽评分。进行统计分析以评估凯泽评分的诊断能力，以及它是否受额外病变和索引病变的不同影像及病理参数影响。(3) 结果：76例患者的92个MRI检测到的病变构成了研究人群。无论索引癌的病理情况（P = 0.221）或额外病变的大小及影像特征如何，良性和恶性病变之间的凯泽评分存在统计学显著差异。将可疑病变的临界值设定为5及以上，92个病变中的34个可避免活检。(4) 结论：凯泽评分可协助放射科医生评估近期诊断为乳腺癌患者MRI上发现的额外病变，从而减少不必要的活检数量以及确定性手术治疗的延迟。
