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胸肌分析在乳腺癌新辅助化疗前后身体成分评估的乳腺磁共振成像中的作用

Role of Pectoralis Muscle Analysis in Breast Magnetic Resonance Imaging for Body Composition Evaluation Before and After Neoadjuvant Chemotherapy for Breast Cancer.

作者信息

Pecchi Annarita, Mogavero Francesca, Zanni Sara, Vaccari Davide, Costantini Riccardo Cuoghi, Canino Fabio, Piacentini Federico, D'Amico Roberto, Dominici Massimo, Torricelli Pietro

机构信息

Division of Radiology, Department of Medical and Surgical Sciences of Children and Adults, University of Modena and Reggio Emilia, 41224 Modena, Italy.

Integrated Diagnostic Imaging Department of Modena, Azienda USL of Modena, 41121 Modena, Italy.

出版信息

Nutrients. 2025 May 16;17(10):1698. doi: 10.3390/nu17101698.

Abstract

: sarcopenia is a physical condition characterized by the loss of muscle mass and strength; it is associated with worse outcomes in oncological diseases and is recognized as an independent predictor of poor survival. The aim of our work is to evaluate the correlation between the pectoralis muscles area (PMA) calculated in breast MRI examinations and the body composition parameters assessed in CT examinations, in order to identify a threshold useful for diagnosing sarcopenia in breast cancer patients who are candidates for neoadjuvant chemotherapy (NACT), so as to be able to provide the correct nutritional counselling. : we included 116 patients with non-metastatic breast cancer, who were studied with MRI before and after NACT, in the 2018-2023 period. All patients were categorized according to age, weight, height, and BMI. Using MRI scans, both before and after treatment, we measured the PMA at the level of the sternal angle of Louis and evaluated the changes caused by NACT, and we performed the same procedure for CT body composition parameters. : the ROC we calculated describes the ability of the PMA to discriminate sarcopenic patients from non-sarcopenic ones, identifying an optimal cut-off of 20.55, which achieves a specificity of 92%. The variations in PMA after NACT showed a strong, statistically significant association with the variations in all CT body composition parameters. : these results introduce the possibility of also assessing body composition in breast MRI. The novelty in this study is to have estimated, on the basis of these correlations, a cut-off value that reflects the skeletal muscle index threshold for the definition of sarcopenia that is usually used.

摘要

肌肉减少症是一种以肌肉质量和力量丧失为特征的身体状况;它与肿瘤疾病的不良预后相关,被认为是生存不良的独立预测因素。我们研究的目的是评估在乳腺MRI检查中计算出的胸肌面积(PMA)与CT检查中评估的身体成分参数之间的相关性,以便确定一个阈值,用于诊断接受新辅助化疗(NACT)的乳腺癌患者的肌肉减少症,从而能够提供正确的营养咨询。我们纳入了116例非转移性乳腺癌患者,在2018年至2023年期间对他们在NACT前后进行了MRI检查。所有患者均根据年龄、体重、身高和BMI进行分类。利用治疗前后的MRI扫描,我们在Louis胸骨角水平测量了PMA,并评估了NACT引起的变化,对CT身体成分参数也进行了同样的操作。我们计算的ROC描述了PMA区分肌肉减少症患者和非肌肉减少症患者的能力,确定了最佳截断值为20.55,其特异性为92%。NACT后PMA的变化与所有CT身体成分参数的变化显示出强烈的、具有统计学意义的关联。这些结果表明在乳腺MRI中也有可能评估身体成分。本研究的新颖之处在于,基于这些相关性,估计了一个反映通常用于定义肌肉减少症的骨骼肌指数阈值的截断值。

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