新辅助化疗后磁共振成像完全反应且乳腺造影有残留钙化的乳腺癌患者个体化精准手术的预测模型。

IF 4 3区 医学 Q1 OBSTETRICS & GYNECOLOGY Breast Cancer Pub Date : 2025-01-01 Epub Date: 2024-09-30 DOI:10.1007/s12282-024-01638-7
Mi-Ri Kwon, Eun Young Ko, Jeong Eon Lee, Boo-Kyung Han, Eun Sook Ko, Ji Soo Choi, Haejung Kim, Myoung Kyoung Kim, Jonghan Yu, Hyunwoo Lee, Inyoung Youn
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引用次数: 0

摘要

背景:确定乳腺癌患者在接受新辅助化疗(NAC)后残留的可疑钙化中是否有残留癌,可为外科医生决定最合适的手术方法提供重要信息。因此,我们研究了预测无残留癌(ypCalc_0)或有残留癌(ypCalc_ca)的钙化的因素,并旨在为新辅助化疗后乳腺 X 线摄影显示残留可疑钙化但核磁共振成像显示完全反应的患者建立一个预测模型:这项回顾性研究纳入了在2019年1月至2020年12月期间(开发集)和2021年1月至2022年12月期间(验证集)接受NAC治疗的乳腺癌患者,这些患者在乳腺X光检查中显示残留可疑钙化,但在MRI检查中显示完全反应。多变量逻辑回归分析确定了与 ypCalc_0 相关的重要因素。利用决策树和逻辑回归分析中的因素建立的预测模型在验证集中得到了验证:开发集包括 134 名妇女(平均年龄 50.6 岁;91 人患有 ypCalc_0,43 人患有 ypCalc_ca),验证集包括 146 名妇女(平均年龄 51.0 岁;108 人患有 ypCalc_0,38 人患有 ypCalc_ca)。分子亚型(P = 0.0002)和高 Ki-67(P = 0.02)是开发集中与 ypCalc_0 相关的重要独立因素。预测模型将激素受体(HR)-/人表皮生长因子受体2(HER2)+和高Ki-67作为ypCalc_0的预测因子,将HR+/HER2-癌症或HR+/HER2+或三阴性(TN)癌症和低Ki-67作为ypCalc_ca的预测因子,在验证集中的接收者操作特征曲线下面积达到0.844(95% CI 0.774-0.914):结论:在处理高Ki-67的HR-/HER2+乳腺癌的残留钙化时,可考虑进行微创手术,而对于HR+/HER2-乳腺癌或低Ki-67的HR+/HER2+或TN乳腺癌,则建议进行完全切除术。
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Prediction model for individualized precision surgery in breast cancer patients with complete response on MRI and residual calcifications on mammography after neoadjuvant chemotherapy.

Background: Identifying whether there is residual carcinoma in remaining suspicious calcifications after neoadjuvant chemotherapy (NAC) in breast cancer patients can provide crucial information for surgeons in determining the most appropriate surgical approach. Therefore, we investigated factors predicting calcifications without residual carcinoma (ypCalc_0) or with residual carcinoma (ypCalc_ca) and aimed to develop a prediction model for patients exhibiting residual suspicious calcifications on mammography but complete response on MRI after NAC.

Methods: This retrospective study included breast cancer patients undergoing NAC, showing residual suspicious mammographic calcifications but complete response on MRI between January 2019 and December 2020 (development set) and between January 2021 and December 2022 (validation set). Multivariable logistic regression analysis identified significant factors associated with ypCalc_0. The prediction model, developed using a decision tree and factors from logistic regression analysis, was validated in the validation set.

Results: The development set included 134 women (mean age, 50.6 years; 91 with ypCalc_0 and 43 with ypCalc_ca) and validation set included 146 women (mean age, 51.0 years; 108 with ypCalc_0 and 38 with ypCalc_ca). Molecular subtype (P = .0002) and high Ki-67 (P = .02) emerged as significant independent factors associated with ypCalc_0 in the development set. The prediction model, incorporating hormone receptor (HR)-/human epidermal growth factor receptor 2 (HER2)+ with high Ki-67 as ypCalc_0 predictors, and HR+/HER2- cancers or HR+/HER2+ or triple-negative (TN) cancers with low Ki-67, as ypCalc_ca predictors, achieved an area under receiver operating characteristic curve of 0.844 (95% CI 0.774-0.914) in the validation set.

Conclusion: Minimized surgery may be considered for managing residual calcifications in HR-/HER2+ with high Ki-67 cancers, while complete excision is recommended for HR+/HER2- breast cancers or for HR+/HER2+or TN breast cancers with low Ki-67.

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来源期刊
Breast Cancer
Breast Cancer ONCOLOGY-OBSTETRICS & GYNECOLOGY
CiteScore
6.70
自引率
2.50%
发文量
105
审稿时长
6-12 weeks
期刊介绍: Breast Cancer, the official journal of the Japanese Breast Cancer Society, publishes articles that contribute to progress in the field, in basic or translational research and also in clinical research, seeking to develop a new focus and new perspectives for all who are concerned with breast cancer. The journal welcomes all original articles describing clinical and epidemiological studies and laboratory investigations regarding breast cancer and related diseases. The journal will consider five types of articles: editorials, review articles, original articles, case reports, and rapid communications. Although editorials and review articles will principally be solicited by the editors, they can also be submitted for peer review, as in the case of original articles. The journal provides the best of up-to-date information on breast cancer, presenting readers with high-impact, original work focusing on pivotal issues.
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