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治疗前和治疗后F-FDG-PET/CT影像组学分析在喉癌和下咽癌患者中的预后价值

Prognostic Value of Radiomic Analysis Using Pre- and Post-Treatment F-FDG-PET/CT in Patients with Laryngeal Cancer and Hypopharyngeal Cancer.

作者信息

Choi Joon Ho, Choi Joon Young, Woo Sang-Keun, Moon Ji Eun, Lim Chae Hong, Park Soo Bin, Seo Seongho, Ahn Yong Chan, Ahn Myung-Ju, Moon Seung Hwan, Park Jung Mi

机构信息

Department of Nuclear Medicine, Soonchunhyang University Bucheon Hospital, Bucheon 14584, Republic of Korea.

Department of Nuclear Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul 06351, Republic of Korea.

出版信息

J Pers Med. 2024 Jan 5;14(1):71. doi: 10.3390/jpm14010071.

DOI:10.3390/jpm14010071
PMID:38248772
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10817325/
Abstract

BACKGROUND

The prognostic value of conducting F-FDG PET/CT imaging has yielded different results in patients with laryngeal cancer and hypopharyngeal cancer, but these results are controversial, and there is a lack of dedicated studies on each type of cancer. This study aimed to evaluate whether combining radiomic analysis of pre- and post-treatment F-FDG PET/CT imaging features and clinical parameters has additional prognostic value in patients with laryngeal cancer and hypopharyngeal cancer.

METHODS

From 2008 to 2016, data on patients diagnosed with cancer of the larynx and hypopharynx were retrospectively collected. The patients underwent pre- and post-treatment F-FDG PET/CT imaging. The values of ΔPre-Post PET were measured from the texture features. Least absolute shrinkage and selection operator (LASSO) Cox regression was used to select the most predictive features to formulate a Rad-score for both progression-free survival (PFS) and overall survival (OS). Kaplan-Meier curve analysis and Cox regression were employed to assess PFS and OS. Then, the concordance index (C-index) and calibration plot were used to evaluate the performance of the radiomics nomogram.

RESULTS

Study data were collected for a total of 91 patients. The mean follow-up period was 71.5 mo. (8.4-147.3). The Rad-score was formulated based on the texture parameters and was significantly associated with both PFS ( = 0.024) and OS ( = 0.009). When predicting PFS, only the Rad-score demonstrated a significant association (HR 2.1509, 95% CI [1.100-4.207], = 0.025). On the other hand, age (HR 1.116, 95% CI [1.041-1.197], = 0.002) and Rad-score (HR 33.885, 95% CI [2.891-397.175], = 0.005) exhibited associations with OS. The Rad-score value showed good discrimination when it was combined with clinical parameters in both PFS (C-index 0.802-0.889) and OS (C-index 0.860-0.958). The calibration plots also showed a good agreement between the observed and predicted survival probabilities.

CONCLUSIONS

Combining clinical parameters with radiomics analysis of pre- and post-treatment F-FDG PET/CT parameters in patients with laryngeal cancer and hypopharyngeal cancer might have additional prognostic value.

摘要

背景

F-FDG PET/CT成像的预后价值在喉癌和下咽癌患者中产生了不同的结果,但这些结果存在争议,并且缺乏针对每种癌症类型的专门研究。本研究旨在评估结合治疗前和治疗后F-FDG PET/CT成像特征的放射组学分析与临床参数是否对喉癌和下咽癌患者具有额外的预后价值。

方法

回顾性收集2008年至2016年诊断为喉癌和下咽癌患者的数据。患者接受了治疗前和治疗后F-FDG PET/CT成像。从纹理特征中测量ΔPre-Post PET值。使用最小绝对收缩和选择算子(LASSO)Cox回归选择最具预测性的特征,以制定无进展生存期(PFS)和总生存期(OS)的Rad评分。采用Kaplan-Meier曲线分析和Cox回归评估PFS和OS。然后,使用一致性指数(C指数)和校准图来评估放射组学列线图的性能。

结果

共收集了91例患者的研究数据。平均随访期为71.5个月(8.4 - 147.3个月)。基于纹理参数制定了Rad评分,其与PFS(P = 0.024)和OS(P = 0.009)均显著相关。在预测PFS时,只有Rad评分显示出显著相关性(风险比2.1509,95%置信区间[1.100 - 4.207],P = 0.025)。另一方面,年龄(风险比1.116,95%置信区间[1.041 - 1.197],P = 0.002)和Rad评分(风险比33.885,95%置信区间[2.891 - 397.175],P = 0.005)与OS相关。在PFS(C指数0.802 - 0.889)和OS(C指数0.860 - 0.958)中,Rad评分值与临床参数结合时均显示出良好的辨别能力。校准图也显示观察到的和预测的生存概率之间具有良好的一致性。

结论

在喉癌和下咽癌患者中,将临床参数与治疗前和治疗后F-FDG PET/CT参数的放射组学分析相结合可能具有额外的预后价值。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2761/10817325/63427050bc01/jpm-14-00071-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2761/10817325/b8688d2bb4e5/jpm-14-00071-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2761/10817325/ba48052a5c10/jpm-14-00071-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2761/10817325/63427050bc01/jpm-14-00071-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2761/10817325/b8688d2bb4e5/jpm-14-00071-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2761/10817325/ba48052a5c10/jpm-14-00071-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2761/10817325/63427050bc01/jpm-14-00071-g003.jpg

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