Julia Karr, M. Cohen, Cohen V Cohen, Samuel P McQuiston, M. Figarola, C. Malozzi
{"title":"基于mri的化疗后乳腺癌患者左室收缩力全自动综合分析。","authors":"Julia Karr, M. Cohen, Cohen V Cohen, Samuel P McQuiston, M. Figarola, C. Malozzi","doi":"10.1259/bjr.20190289","DOIUrl":null,"url":null,"abstract":"OBJECTIVES\nThis study investigated the occurrence of cardiotoxicity-related left-ventricular (LV) contractile dysfunction in breast cancer patients following treatment with antineoplastic chemotherapy agents (CTA).\n\n\nMETHODS\nA validated and automated MRI-based LV contractility analysis tool consisting of quantization-based boundary detection, unwrapping of image phases and the meshfree Radial Point Interpolation Method was used toward measuring LV chamber quantifications (LVCQ), 3D strains and torsions in patients and healthy subjects. Data were acquired with the Displacement Encoding with Stimulated Echoes (DENSE) sequence on 21 female patients and 21 age-matched healthy females. Estimates of patient LVCQs from DENSE acquisitions were validated in comparison to similar Steady State Free Precession (SSFP) measurements and their strain results validated via Bland-Altman interobserver agreements. The occurrence of LV abnormalities was investigated via significant differences in contractility measurements (LVCQs, strains and torsions) between patients and healthy subjects.\n\n\nRESULTS\nRepeated measures analysis showed similarities between LVCQ measurements from DENSE and SSFP, including cardiac output (4.7 ± 0.4 L, 4.6 ± 0.4 L, p = 0.8), and LV ejection fractions (LVEF) (59±6%, 58±5%, p = 0.2). Differences found between patients and healthy subjects included enlarged basal diameter (5.0 ± 0.5 cm vs 4.4 ± 0.5 cm, p < 0.01), apical torsion (6.0 ± 1.1° vs 9.7 ± 1.4°, p < 0.001) and global longitudinal strain (-0.15 ± 0.02 vs. -0.21 ± 0.04, p < 0.001), but not LVEF (59±6% vs. 63±6%, p = 0.1).\n\n\nCONCLUSION\nThe results from the statistical analysis reveal the possibility of LV abnormalities in the post-chemotherapy patients via enlarged basal diameter and reduced longitudinal strain and torsion, in comparison to healthy subjects.\n\n\nADVANCES IN KNOWLEDGE\nThis study shows that subclinical LV abnormalities in post-chemotherapy breast cancer patients can be detected with an automated technique for the comprehensive analysis of contractile parameters.","PeriodicalId":226783,"journal":{"name":"The British journal of radiology","volume":"25 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Fully automated and comprehensive MRI-based Left-Ventricular contractility analysis in Post-Chemotherapy breast cancer patients.\",\"authors\":\"Julia Karr, M. 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Estimates of patient LVCQs from DENSE acquisitions were validated in comparison to similar Steady State Free Precession (SSFP) measurements and their strain results validated via Bland-Altman interobserver agreements. The occurrence of LV abnormalities was investigated via significant differences in contractility measurements (LVCQs, strains and torsions) between patients and healthy subjects.\\n\\n\\nRESULTS\\nRepeated measures analysis showed similarities between LVCQ measurements from DENSE and SSFP, including cardiac output (4.7 ± 0.4 L, 4.6 ± 0.4 L, p = 0.8), and LV ejection fractions (LVEF) (59±6%, 58±5%, p = 0.2). 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引用次数: 5
摘要
目的探讨乳腺癌患者在接受抗肿瘤化疗药物(CTA)治疗后心脏毒性相关左室(LV)收缩功能障碍的发生情况。方法采用基于量化边界检测、图像相位解包裹和无网格径向点插值法的经验证的自动化mri左室收缩力分析工具,测量患者和健康受试者的左室量化(LVCQ)、三维应变和扭转。采用位移编码刺激回声(DENSE)序列对21例女性患者和21例年龄匹配的健康女性进行数据采集。通过与类似的稳态自由进动(SSFP)测量结果进行比较,通过Bland-Altman观察者间协议验证了患者lvcq的估计。通过患者和健康受试者之间的收缩性测量(LVCQs、应变和扭转)的显著差异来研究左室异常的发生。结果DENSE和SSFP的LVCQ测量结果相似,包括心输出量(4.7±0.4 L, 4.6±0.4 L, p = 0.8)和左室射血分数(LVEF)(59±6%,58±5%,p = 0.2)。患者与健康者的差异包括基底直径增大(5.0±0.5 cm vs 4.4±0.5 cm, p < 0.01)、根尖扭转(6.0±1.1°vs 9.7±1.4°,p < 0.001)和整体纵向应变(-0.15±0.02 vs -0.21±0.04,p < 0.001),但LVEF无差异(59±6% vs 63±6%,p = 0.1)。结论与健康人相比,化疗后患者左室基底直径增大,纵向应变和扭转减小,可能存在左室异常。这项研究表明,化疗后乳腺癌患者的亚临床左室异常可以通过收缩参数综合分析的自动化技术来检测。
Fully automated and comprehensive MRI-based Left-Ventricular contractility analysis in Post-Chemotherapy breast cancer patients.
OBJECTIVES
This study investigated the occurrence of cardiotoxicity-related left-ventricular (LV) contractile dysfunction in breast cancer patients following treatment with antineoplastic chemotherapy agents (CTA).
METHODS
A validated and automated MRI-based LV contractility analysis tool consisting of quantization-based boundary detection, unwrapping of image phases and the meshfree Radial Point Interpolation Method was used toward measuring LV chamber quantifications (LVCQ), 3D strains and torsions in patients and healthy subjects. Data were acquired with the Displacement Encoding with Stimulated Echoes (DENSE) sequence on 21 female patients and 21 age-matched healthy females. Estimates of patient LVCQs from DENSE acquisitions were validated in comparison to similar Steady State Free Precession (SSFP) measurements and their strain results validated via Bland-Altman interobserver agreements. The occurrence of LV abnormalities was investigated via significant differences in contractility measurements (LVCQs, strains and torsions) between patients and healthy subjects.
RESULTS
Repeated measures analysis showed similarities between LVCQ measurements from DENSE and SSFP, including cardiac output (4.7 ± 0.4 L, 4.6 ± 0.4 L, p = 0.8), and LV ejection fractions (LVEF) (59±6%, 58±5%, p = 0.2). Differences found between patients and healthy subjects included enlarged basal diameter (5.0 ± 0.5 cm vs 4.4 ± 0.5 cm, p < 0.01), apical torsion (6.0 ± 1.1° vs 9.7 ± 1.4°, p < 0.001) and global longitudinal strain (-0.15 ± 0.02 vs. -0.21 ± 0.04, p < 0.001), but not LVEF (59±6% vs. 63±6%, p = 0.1).
CONCLUSION
The results from the statistical analysis reveal the possibility of LV abnormalities in the post-chemotherapy patients via enlarged basal diameter and reduced longitudinal strain and torsion, in comparison to healthy subjects.
ADVANCES IN KNOWLEDGE
This study shows that subclinical LV abnormalities in post-chemotherapy breast cancer patients can be detected with an automated technique for the comprehensive analysis of contractile parameters.