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使用竖脊肌和腰大肌评估肌肉脂肪浸润以预测乳腺癌辅助化疗期间的不良事件。

Myosteatosis evaluation using erector spinae and psoas muscles to predict adverse events during adjuvant chemotherapy for breast cancer.

机构信息

Division of Hematology-Oncology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.

Cleveland Clinic Foundation, 9500 Euclid Avenue, Cleveland, OH, USA.

出版信息

Breast Cancer Res Treat. 2021 Apr;186(2):487-495. doi: 10.1007/s10549-020-06061-y. Epub 2021 Jan 10.

Abstract

BACKGROUND

Myosteatosis (intramuscular adiposity) is predictive of chemotherapy toxicity in women undergoing adjuvant chemotherapy for breast cancer (BC). We evaluated a novel, user-friendly and cost-effective technique utilizing a Picture Archiving and Communication Systems (PACS) tool that is readily available in the electronic medical record (EMR), using skeletal muscle density (SMD) to detect myosteatosis and then compared PACS results with those derived from widely used body composition software (SliceOMatic, QC, Canada).

METHODS

Using retrospective data from a sample of women with early BC (Stage I-III) who had CT scan and received chemotherapy. Pearson correlation coefficients were used to compare SliceOMatic with PACS results. Associations of PACS results with chemotherapy-related adverse events were evaluated using multivariable (MV) log-binomial models adjusted for age, race, BMI, anthracycline-based therapy, and number of comorbidities.

RESULTS

In 338 patients, mean age was 51, 32% were non-white, and 40% had obesity (BMI ≥ 30 kg/m). Correlation of SMD using SliceOMatic whole muscle measurements with PACS psoas muscle was 0.76 (p < .0001) and with PACS erector spinae muscle 0.91 (p < .0001). Using PACS psoas muscle, myosteatosis was associated with any adverse event [RR 1.66, CI 1.22-2.26 (p < .0001)], dose reduction [RR 1.63, CI 1.01-2.65 (p = .05)], and early treatment discontinuation [RR 2.14, CI 1.10-4.14 (p = 0.03)]. Using PACS erector spinae muscle, myosteatosis was associated any adverse event [RR 1.59, CI 1.11-2.27 (p = 0.01)] and dose reduction [RR 1.91, CI 1.07-3.42 (p = .03)].

CONCLUSION AND RELEVANCE

Skeletal muscle density measures using PACS correlated strongly with SliceOMatic results and both are similarly predictive of chemotherapy-related adverse events.

摘要

背景

肌肉脂肪浸润(肌内脂肪过多)可预测接受乳腺癌(BC)辅助化疗的女性的化疗毒性。我们评估了一种新颖、用户友好且具有成本效益的技术,该技术利用了在电子病历(EMR)中易于使用且价格合理的影像存档与通信系统(PACS)工具,使用骨骼肌密度(SMD)来检测肌肉脂肪浸润,然后将 PACS 结果与广泛使用的体成分软件(SliceOMatic,QC,加拿大)的结果进行比较。

方法

使用来自早期 BC(I-III 期)女性的回顾性数据,这些女性接受了 CT 扫描并接受了化疗。使用 Pearson 相关系数比较 SliceOMatic 和 PACS 的结果。使用多变量(MV)对数二项式模型评估 PACS 结果与化疗相关不良事件的相关性,该模型调整了年龄、种族、BMI、蒽环类药物为基础的治疗和合并症的数量。

结果

在 338 名患者中,平均年龄为 51 岁,32%为非白人,40%患有肥胖症(BMI≥30kg/m)。SliceOMatic 全肌肉测量值与 PACS 腰大肌的 SMD 相关性为 0.76(p<0.0001),与 PACS 竖脊肌的相关性为 0.91(p<0.0001)。使用 PACS 腰大肌,肌肉脂肪浸润与任何不良事件相关[RR 1.66,CI 1.22-2.26(p<0.0001)]、剂量减少[RR 1.63,CI 1.01-2.65(p=0.05)]和早期治疗中断[RR 2.14,CI 1.10-4.14(p=0.03)]。使用 PACS 竖脊肌,肌肉脂肪浸润与任何不良事件相关[RR 1.59,CI 1.11-2.27(p=0.01)]和剂量减少[RR 1.91,CI 1.07-3.42(p=0.03)]。

结论和相关性

使用 PACS 测量的骨骼肌密度与 SliceOMatic 的结果密切相关,两者均能很好地预测化疗相关的不良事件。

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