原发性鼻咽癌深侵体积预测治疗结果。

Qi Yong H Ai, Ho Sang Leung, Frankie K F Mo, Lun M Wong, Linfang Lan, Edwin P Hui, Brigette B Y Ma, Ann D King
{"title":"原发性鼻咽癌深侵体积预测治疗结果。","authors":"Qi Yong H Ai, Ho Sang Leung, Frankie K F Mo, Lun M Wong, Linfang Lan, Edwin P Hui, Brigette B Y Ma, Ann D King","doi":"10.3174/ajnr.A8678","DOIUrl":null,"url":null,"abstract":"<p><strong>Background and purpose: </strong>Quantification of deep invasion of the primary tumor is a predictor of outcome in oral cancer, but its predictive value in nasopharyngeal carcinoma (NPC) is unknown. This study aimed to investigate deep invasion of the primary NPC by using volumetric measurements on MRI for the prediction of outcome.</p><p><strong>Materials and methods: </strong>Retrospective review was conducted of 822 MRIs from patients with newly diagnosed nonmetastatic NPC with volumetric analysis of the primary tumor to obtain total primary tumor volume (PTV), deep invasion volume (DIV), and ratio of deep to the total primary tumor volume (DIVr). Optimal predictors were identified by the multivariable Cox regression and c-index correlating with disease-free survival (DFS), distant metastases-free survival (DMFS), and overall survival (OS).</p><p><strong>Results: </strong>High DIVr, DIV, and PTV significantly correlated with poor DFS, DMFS, and OS (all <i>P</i> < .01); DIVr being the optimal measurement (hazard ratio = 3.234 for DFS, 3.409 for DMFS, and 3.184 for OS). Compared with the eighth edition American Joint Committee on Cancer (AJCC) T-category, DIVr showed modest improvement in c-indexes for predicting DFS (0.602 versus 0.620, <i>P</i> = .03) and DMFS (0.597 versus 0.626, <i>P</i> < .01), but not OS (<i>P</i> = .15). The use of a DIVr-based T-category had similar survival prognostication to the eighth edition AJCC T-category although there was improved prediction in DMFS.</p><p><strong>Conclusions: </strong>DIVr is a better predictor of outcome in NPC than PTV or DIV, with slightly superior performance to the eighth edition AJCC T-category especially for DMFS.</p>","PeriodicalId":93863,"journal":{"name":"AJNR. American journal of neuroradiology","volume":" ","pages":"1446-1452"},"PeriodicalIF":0.0000,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Deep Invasion Volume of the Primary Nasopharyngeal Carcinoma Predicts Treatment Outcome.\",\"authors\":\"Qi Yong H Ai, Ho Sang Leung, Frankie K F Mo, Lun M Wong, Linfang Lan, Edwin P Hui, Brigette B Y Ma, Ann D King\",\"doi\":\"10.3174/ajnr.A8678\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background and purpose: </strong>Quantification of deep invasion of the primary tumor is a predictor of outcome in oral cancer, but its predictive value in nasopharyngeal carcinoma (NPC) is unknown. This study aimed to investigate deep invasion of the primary NPC by using volumetric measurements on MRI for the prediction of outcome.</p><p><strong>Materials and methods: </strong>Retrospective review was conducted of 822 MRIs from patients with newly diagnosed nonmetastatic NPC with volumetric analysis of the primary tumor to obtain total primary tumor volume (PTV), deep invasion volume (DIV), and ratio of deep to the total primary tumor volume (DIVr). Optimal predictors were identified by the multivariable Cox regression and c-index correlating with disease-free survival (DFS), distant metastases-free survival (DMFS), and overall survival (OS).</p><p><strong>Results: </strong>High DIVr, DIV, and PTV significantly correlated with poor DFS, DMFS, and OS (all <i>P</i> < .01); DIVr being the optimal measurement (hazard ratio = 3.234 for DFS, 3.409 for DMFS, and 3.184 for OS). Compared with the eighth edition American Joint Committee on Cancer (AJCC) T-category, DIVr showed modest improvement in c-indexes for predicting DFS (0.602 versus 0.620, <i>P</i> = .03) and DMFS (0.597 versus 0.626, <i>P</i> < .01), but not OS (<i>P</i> = .15). The use of a DIVr-based T-category had similar survival prognostication to the eighth edition AJCC T-category although there was improved prediction in DMFS.</p><p><strong>Conclusions: </strong>DIVr is a better predictor of outcome in NPC than PTV or DIV, with slightly superior performance to the eighth edition AJCC T-category especially for DMFS.</p>\",\"PeriodicalId\":93863,\"journal\":{\"name\":\"AJNR. American journal of neuroradiology\",\"volume\":\" \",\"pages\":\"1446-1452\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2025-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"AJNR. American journal of neuroradiology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.3174/ajnr.A8678\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"AJNR. American journal of neuroradiology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3174/ajnr.A8678","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

背景与目的:量化原发肿瘤的深度浸润是口腔癌预后的预测指标,但其在鼻咽癌(NPC)中的预测价值尚不清楚。本研究旨在通过MRI体积测量来预测原发性鼻咽癌的深度侵袭。材料与方法:回顾性分析822例新诊断的非转移性鼻咽癌患者的mri,并对原发肿瘤进行体积分析,获得原发肿瘤总体积(PTV)、深部浸润体积(DIV)、深部与原发肿瘤总体积之比(DIVr)。通过多变量Cox回归和与无病生存期(DFS)、无远处转移生存期(DMFS)和总生存期(OS)相关的c指数确定最佳预测因子。结果:DIVr、DIV、PTV高与DFS、DMFS、OS差相关(均P < 0.01);最优指标为DIVr(风险比:DFS = 3.234, DMFS = 3.409, OS = 3.184)。与第八版美国癌症联合委员会(AJCC) t分类相比,DIVr在预测DFS(0.602对0.620,P = 0.03)和DMFS(0.597对0.626,P < 0.01)的c指标上有适度改善,但OS没有改善(P = 0.15)。使用基于divr的t分类与第八版AJCC t分类具有相似的生存预测,尽管DMFS的预测有所改善。结论:与PTV或DIV相比,DIVr是鼻咽癌预后的更好预测指标,其表现略优于第八版AJCC t -分类,特别是对于DMFS。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Deep Invasion Volume of the Primary Nasopharyngeal Carcinoma Predicts Treatment Outcome.

Background and purpose: Quantification of deep invasion of the primary tumor is a predictor of outcome in oral cancer, but its predictive value in nasopharyngeal carcinoma (NPC) is unknown. This study aimed to investigate deep invasion of the primary NPC by using volumetric measurements on MRI for the prediction of outcome.

Materials and methods: Retrospective review was conducted of 822 MRIs from patients with newly diagnosed nonmetastatic NPC with volumetric analysis of the primary tumor to obtain total primary tumor volume (PTV), deep invasion volume (DIV), and ratio of deep to the total primary tumor volume (DIVr). Optimal predictors were identified by the multivariable Cox regression and c-index correlating with disease-free survival (DFS), distant metastases-free survival (DMFS), and overall survival (OS).

Results: High DIVr, DIV, and PTV significantly correlated with poor DFS, DMFS, and OS (all P < .01); DIVr being the optimal measurement (hazard ratio = 3.234 for DFS, 3.409 for DMFS, and 3.184 for OS). Compared with the eighth edition American Joint Committee on Cancer (AJCC) T-category, DIVr showed modest improvement in c-indexes for predicting DFS (0.602 versus 0.620, P = .03) and DMFS (0.597 versus 0.626, P < .01), but not OS (P = .15). The use of a DIVr-based T-category had similar survival prognostication to the eighth edition AJCC T-category although there was improved prediction in DMFS.

Conclusions: DIVr is a better predictor of outcome in NPC than PTV or DIV, with slightly superior performance to the eighth edition AJCC T-category especially for DMFS.

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
来源期刊
自引率
0.00%
发文量
0
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信