浸润性乳腺癌改良 Bloom-Richardson 分级中核多形性评分的修改
Modification of the nuclear pleomorphism score in the Modified Bloom-Richardson grading for invasive breast cancer.
作者信息
Mohd Zain Azam Hilmi, Mohd Isa Seoparjoo Azmel, Che Jalil Nur Asyilla, Mohd Hairon Suhaily, Abrar Syed Sana
机构信息
Department of Pathology, Hospital Umum Sarawak, Jalan Hospital, Kuching, Sarawak, Malaysia.
Department of Pathology, School of Medical Sciences, Universiti Sains Malaysia, Kelantan, Malaysia.
出版信息
PLoS One. 2025 Jul 18;20(7):e0327860. doi: 10.1371/journal.pone.0327860. eCollection 2025.
OBJECTIVE
To improve prognostic assessments in breast cancer by evaluating the efficacy of the modified Nottingham grading system, specifically focusing on nuclear pleomorphism through measurements of largest nuclear size (LNS) and nuclear size difference (NSD).
METHODS
This cross-sectional study involved 140 invasive breast cancer cases at Hospital Universiti Sains Malaysia. The study consisted of two phases: Phase 1, which developed nuclear scoring criteria using histopathological images from 2013-2017, and Phase 2, which validated these criteria on cases from 2018-2019. Two sets of samples were included for the study, with 120 cases analyzed in Phase 1 and 53 cases in Phase 2. Descriptive statistics and normality tests assessed differences in LNS and NSD across original nuclear grades.
RESULTS
Significant differences were found in LNS and NSD across original nuclear grades (p < 0.05), with fair to moderate agreement between the modified grading system and pathologist assessments (Kappa = 0.367).
CONCLUSION
Incorporating LNS and NSD into the assessment of nuclear pleomorphism shows potential to improve objectivity in breast cancer grading. However, further validation using larger datasets and automated image analysis is necessary to refine this approach and assess its clinical applicability..
目的
通过评估改良诺丁汉分级系统的有效性来改善乳腺癌的预后评估,特别关注通过测量最大核大小(LNS)和核大小差异(NSD)来评估核多形性。
方法
这项横断面研究纳入了马来西亚理科大学医院的140例浸润性乳腺癌病例。该研究包括两个阶段:第一阶段,利用2013 - 2017年的组织病理学图像制定核评分标准;第二阶段,对2018 - 2019年的病例验证这些标准。研究纳入了两组样本,第一阶段分析了120例,第二阶段分析了53例。描述性统计和正态性检验评估了不同原始核分级的LNS和NSD差异。
结果
不同原始核分级的LNS和NSD存在显著差异(p < 0.05),改良分级系统与病理学家评估之间的一致性为中等(Kappa = 0.367)。
结论
将LNS和NSD纳入核多形性评估显示出改善乳腺癌分级客观性的潜力。然而,需要使用更大的数据集和自动图像分析进行进一步验证,以完善这种方法并评估其临床适用性。
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