Assessment of myocardial deformation by CMR tissue tracking reveals left ventricular subclinical myocardial dysfunction in patients with gynecologic cancer undergoing chemotherapy.

IF 3.5 3区 医学 Q2 ONCOLOGY Frontiers in Oncology Pub Date : 2025-02-03 eCollection Date: 2025-01-01 DOI:10.3389/fonc.2025.1464368
Kai Tao, Lu Ye, Yan-Jia-Ni Xu, Meng-Xi Yang, Ru-Tie Yin, Qing-Li Li, Xiao-Juan Lin, Ke-Min Li, Liang Song, Yu Ma, Lan Zhong, Ying Hu, Hua-Yan Xu, Dan-Qing Wang, Ying-Kun Guo
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Abstract

Background: Chemotherapy-induced cardiotoxicity is a concern for patients with gynecologic cancer. This study aimed to assess left ventricular (LV) myocardial deformation in patients with gynecologic cancer undergoing chemotherapy and to investigate the association between myocardial deformation and chemotherapy factors.

Methods: Cardiac magnetic resonance (CMR) was performed to assess LV deformation parameters using CMR tissue tracking based on cine images. Serum myocardial injury biomarker were measured. Deformation parameters were compared between healthy controls and patients. Changes in deformation were assessed as chemotherapy progressed. Correlations between LV deformation parameters, clinical characteristics, and serum myocardial injury biomarkers were also analyzed.

Results: A total of 86 patients with gynecologic cancer and 30 normal controls were included. Among the patients, 41 completed CMR follow-up with a median interval of 6 months. Compared to the controls, patients exhibited lower absolute value of global radial strain (GRS) (37.30 ± 8.94% vs. 44.32 ± 8.44%), global circumferential strain (GCS) (-22.12 ± 3.05% vs. -24.08 ± 2.13%) and global longitudinal strain (GLS) (median -15.72% [IQR-17.13 to -13.58%] vs. -17.51 ± 2.00 %) (all p < 0.05). Patients with preserved LV ejection fraction (LVEF) also showed impaired global strain (all p < 0.05). GRS (39.71 ± 8.09% vs. median 30.56% [IQR 26.52 to 38.15%]; p = 0.001), GCS (-23.45 ± 2.09% vs. median -19.71% [IQR -21.71 to -19.10%]; p < 0.001) and GLS (-16.17 ± 2.42% vs. median -12.12% [IQR -14.10 to -8.53%]; p< 0.001) further decreased as the number of chemotherapy cycles increased during follow-up (all p < 0.05). Multivariate analysis showed that GCS was independently associated with the number of chemotherapy regimens (Standard regression coefficient [β] = 0.397, p < 0.001).

Conclusions: Myocardial deformation is more sensitive than LVEF in detecting subclinical left ventricular dysfunction in patients with gynecologic cancer undergoing chemotherapy. GCS was associated with the number of chemotherapy regimens.

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CMR组织跟踪评估心肌变形揭示妇科肿瘤化疗患者左室亚临床心肌功能障碍。
背景:化疗引起的心脏毒性是妇科癌症患者关注的问题。本研究旨在评估妇科肿瘤化疗患者左心室(LV)心肌变形,探讨心肌变形与化疗因素的关系。方法:采用基于电影图像的心脏磁共振(CMR)组织跟踪技术评估左室变形参数。测定血清心肌损伤生物标志物。比较健康对照和患者的变形参数。随着化疗的进展,评估变形的变化。分析左室变形参数、临床特征和血清心肌损伤生物标志物之间的相关性。结果:共纳入86例妇科肿瘤患者和30例正常对照。41例患者完成CMR随访,中位随访间隔为6个月。与对照组相比,患者整体径向应变(GRS)绝对值(37.30±8.94%比44.32±8.44%)、整体周向应变(GCS)绝对值(-22.12±3.05%比-24.08±2.13%)和整体纵向应变(GLS)绝对值(中位数-15.72% [IQR-17.13 ~ -13.58%]比-17.51±2.00 %)均低于对照组(均p < 0.05)。保留左室射血分数(LVEF)的患者也表现出整体应变受损(均p < 0.05)。GRS(39.71±8.09%)vs中位数30.56% [IQR 26.52 ~ 38.15%];p = 0.001), GCS(-23.45±2.09% vs.中位数-19.71% [IQR -21.71至-19.10%];p < 0.001)和GLS(-16.17±2.42% vs.中位数-12.12% [IQR -14.10至-8.53%];P < 0.001)随着化疗周期的增加而进一步降低(均P < 0.05)。多因素分析显示,GCS与化疗方案数独立相关(标准回归系数[β] = 0.397, p < 0.001)。结论:心肌变形比LVEF对妇科肿瘤化疗患者亚临床左心室功能障碍的检测更敏感。GCS与化疗方案的数量有关。
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来源期刊
Frontiers in Oncology
Frontiers in Oncology Biochemistry, Genetics and Molecular Biology-Cancer Research
CiteScore
6.20
自引率
10.60%
发文量
6641
审稿时长
14 weeks
期刊介绍: Cancer Imaging and Diagnosis is dedicated to the publication of results from clinical and research studies applied to cancer diagnosis and treatment. The section aims to publish studies from the entire field of cancer imaging: results from routine use of clinical imaging in both radiology and nuclear medicine, results from clinical trials, experimental molecular imaging in humans and small animals, research on new contrast agents in CT, MRI, ultrasound, publication of new technical applications and processing algorithms to improve the standardization of quantitative imaging and image guided interventions for the diagnosis and treatment of cancer.
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