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
{"title":"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。","authors":"Rahul Ladwa,&nbsp;Kate E Roberts,&nbsp;Connor O'Leary,&nbsp;Nicole Maggacis,&nbsp;Kenneth J O'Byrne,&nbsp;Kenneth Miles","doi":"10.2217/lmt-2020-0002","DOIUrl":null,"url":null,"abstract":"<p><strong>Objectives: </strong>Assess computed tomography texture analysis of patients likely to benefit from nivolumab.</p><p><strong>Materials & methods: </strong>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.</p><p><strong>Results: </strong>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.</p><p><strong>Conclusion: </strong>Patients who derive a clinical benefit to Nivolumab show a computed tomography texture of a hyperdense yet homogenous tumor.</p>","PeriodicalId":0,"journal":{"name":"","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.2217/lmt-2020-0002","citationCount":"8","resultStr":"{\"title\":\"Computed tomography texture analysis of response to second-line nivolumab in metastatic non-small cell lung cancer.\",\"authors\":\"Rahul Ladwa,&nbsp;Kate E Roberts,&nbsp;Connor O'Leary,&nbsp;Nicole Maggacis,&nbsp;Kenneth J O'Byrne,&nbsp;Kenneth Miles\",\"doi\":\"10.2217/lmt-2020-0002\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Objectives: </strong>Assess computed tomography texture analysis of patients likely to benefit from nivolumab.</p><p><strong>Materials & methods: </strong>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.</p><p><strong>Results: </strong>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.</p><p><strong>Conclusion: </strong>Patients who derive a clinical benefit to Nivolumab show a computed tomography texture of a hyperdense yet homogenous tumor.</p>\",\"PeriodicalId\":0,\"journal\":{\"name\":\"\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0,\"publicationDate\":\"2020-07-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.2217/lmt-2020-0002\",\"citationCount\":\"8\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2217/lmt-2020-0002\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2217/lmt-2020-0002","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
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.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1