转移性非小细胞肺癌对二线纳武单抗反应的计算机断层扫描结构分析。

Pub Date : 2020-07-22 DOI:10.2217/lmt-2020-0002
Rahul Ladwa, Kate E Roberts, Connor O'Leary, Nicole Maggacis, Kenneth J O'Byrne, Kenneth Miles
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引用次数: 8

摘要

目的:评估可能受益于纳武单抗的患者的计算机断层结构分析。材料与方法:使用质地分析来量化免疫治疗前最大肿瘤内的异质性。直方图分析分为高密度(正偏度)或低密度(负偏度),并根据中位标准差值或熵测量进行细分。结果:纳入47例患者。在中位随访18个月时,采用低熵正偏度分层时,观察到无进展生存的统计学差异,风险比:0.43 (0.19-0.95);P = 0.036,正偏度标准差低,风险比为0.42 (0.18-0.96);p = 0.04。结论:从Nivolumab获得临床益处的患者显示出高密度但均质肿瘤的计算机断层结构。
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Computed tomography texture analysis of response to second-line nivolumab in metastatic non-small cell lung cancer.

Objectives: Assess computed tomography texture analysis of patients likely to benefit from nivolumab.

Materials & methods: Texture analysis was used to quantify heterogeneity within the largest tumor before immunotherapy. Histogram analysis was classified as hyperdense (positive skewness) or hypodense (negative skewness) and subclassified on median standard deviation value or entropy measurement.

Results: 47 patients were included. At a median follow-up of 18 months, statistical significant differences in progression-free survival were observed when stratified by positive skewness with low entropy, hazard ratio: 0.43 (0.19-0.95); p = 0.036, and positive skewness with low standard deviation, hazard ratio: 0.42 (0.18-0.96); p = 0.04.

Conclusion: Patients who derive a clinical benefit to Nivolumab show a computed tomography texture of a hyperdense yet homogenous tumor.

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