用于预测接受新辅助治疗的乳腺癌病例病理完全反应的临床病理成像提名图。

IF 2.1 4区 医学 Q2 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING
Wei Yang , Yan Yang , Chaolin Zhang , Qingyun Yin , Ningmei Zhang
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引用次数: 0

摘要

目的利用磁共振成像和临床病理参数构建一个用户友好型提名图,用于预测乳腺癌(BC)患者接受新辅助治疗(NAT)后的病理完全反应(pCR):我们回顾性地招募了在2018年1月至2022年12月期间接受NAT后进行手术的病理确诊为乳腺癌的连续女性患者作为开发队列。此外,我们还在 2023 年 1 月至 2023 年 12 月期间前瞻性地收集了符合条件的候选人,作为本机构的外部验证组。我们收集了治疗前的 MRI 特征和临床病理变量,并比较了获得 pCR 和未获得 pCR 的患者治疗前后两次 MRI 的背景实质增强(BPE)和 BPE 的变化。通过多变量逻辑回归分析,确定了发展队列中与 pCR 相关的独立变量。这些独立变量被组合成一个预测性提名图,并通过接收者操作特征曲线下面积(AUC)、校准图、决策曲线分析和外部验证对该提名图的性能进行评估:在开发队列中,共有 276 名女性患者,平均年龄为(48.3±8.7)岁;在验证队列中,共有 87 名女性患者,平均年龄为(49.0±9.5)岁。pCR的独立预后因素包括肿瘤体积小、HER2(+)、高Ki-67指数、高信号增强比(SER)、低表观弥散系数最小值(ADCmin)以及NAT后BPE显著下降(BPE变化)。包含上述参数的提名图在开发组和外部验证组中都表现出卓越的预测性能,AUC 值分别为 0.900 和 0.850。此外,两个队列中的 Hosmer-Lemeshow 检验 p 值分别为 0.508 和 0.423,表明提名图显示了出色的校准能力。此外,在两个队列中,与默认的简单方案相比,提名图提供了更大的净效益:结论:使用肿瘤大小、HER2 状态、Ki-67 指数、SER、ADCmin 以及 NAT 前后 BPE 的变化构建的提名图在预测 NAT 后 BC 患者的 pCR 方面表现出很强的预测能力、校准能力和更大的净效益。这表明,该用户友好型提名图可能是一种有价值的成像生物标记物,可用于确定合适的 NAT 候选者。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A clinicopathological-imaging nomogram for the prediction of pathological complete response in breast cancer cases administered neoadjuvant therapy

Objective

To construct a user-friendly nomogram with MRI and clinicopathological parameters for the prediction of pathological complete response (pCR) after neoadjuvant therapy (NAT) in patients with breast cancer (BC).

Methods

We retrospectively enrolled consecutive female patients pathologically confirmed with breast cancer who received NAT followed by surgery between January 2018 and December 2022 as the development cohort. Additionally, we prospectively collected eligible candidates between January 2023 and December 2023 as an external validation group at our institution. Pretreatment MRI features and clinicopathological variables were collected, and the pre- and post-treatment background parenchymal enhancement (BPE) and the changes in BPE on two MRIs were compared between patients who achieved pCR and those who did not. Multivariable logistic regression analysis was used to identify independent variables associated with pCR in the development cohort. These independent variables were combined into a predictive nomogram for which performance was assessed using the area under the receiver operating characteristic curve (AUC), calibration plot, decision curve analysis, and external validation.

Results

In the development cohort, there were a total of 276 female patients with a mean age of 48.3 ± 8.7 years, while in the validation cohort, there were 87 female patients with a mean age of 49.0 ± 9.5 years. Independent prognostic factors of pCR included small tumor size, HER2(+), high Ki-67 index,high signal enhancement ratio (SER), low minimum value of apparent diffusion coefficient (ADCmin), and significantly decreased BPE after NAT(change of BPE). The nomogram, which incorporates the above parameters, demonstrated excellent predictive performance in both the development and external validation cohorts, with AUC values of 0.900 and 0.850, respectively. Additionally, the nomogram showed excellent calibration capacities, as indicated by Hosmer-Lemeshow test p values of 0.508 and 0.423 in the two cohorts. Furthermore, the nomogram provided greater net benefits compared to the default simple schemes in both cohorts.

Conclusion

A nomogram constructed using tumor size, HER2 status, Ki-67 index, SER, ADCmin, and changes in pre- and post-NAT BPE demonstrated strong predictive performance, calibration ability, and greater net benefits for predicting pCR in patients with BC after NAT. This suggests that the user-friendly nomogram could be a valuable imaging biomarker for identifying suitable candidates for NAT.

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来源期刊
Magnetic resonance imaging
Magnetic resonance imaging 医学-核医学
CiteScore
4.70
自引率
4.00%
发文量
194
审稿时长
83 days
期刊介绍: Magnetic Resonance Imaging (MRI) is the first international multidisciplinary journal encompassing physical, life, and clinical science investigations as they relate to the development and use of magnetic resonance imaging. MRI is dedicated to both basic research, technological innovation and applications, providing a single forum for communication among radiologists, physicists, chemists, biochemists, biologists, engineers, internists, pathologists, physiologists, computer scientists, and mathematicians.
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