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辅助化疗还是不辅助化疗?结合 MRI 放射组学和临床因素预测鼻咽癌复发或转移风险的分层模型。

Adjuvant chemotherapy or no adjuvant chemotherapy? A prediction model for the risk stratification of recurrence or metastasis of nasopharyngeal carcinoma combining MRI radiomics with clinical factors.

机构信息

The Public Experimental Center of Medicine, Department of Pathology, Affiliated Hospital of Zunyi Medical University, Zunyi, Guizhou, P. R. China.

School of Medical Information Engineering of Zunyi Medical University, Zunyi Medical University, Zunyi, Guizhou, P. R. China.

出版信息

PLoS One. 2023 Sep 26;18(9):e0287031. doi: 10.1371/journal.pone.0287031. eCollection 2023.

Abstract

BACKGROUND

Dose adjuvant chemotherapy (AC) should be offered in nasopharyngeal carcinoma (NPC) patients? Different guidelines provided the different recommendations.

METHODS

In this retrospective study, a total of 140 patients were enrolled and followed for 3 years, with 24 clinical features being collected. The imaging features on the enhanced-MRI sequence were extracted by using PyRadiomics platform. The pearson correlation coefficient and the random forest was used to filter the features associated with recurrence or metastasis. A clinical-radiomics model (CRM) was constructed by the Cox multivariable analysis in training cohort, and was validated in validation cohort. All patients were divided into high- and low-risk groups through the median Rad-score of the model. The Kaplan-Meier survival curves were used to compare the 3-year recurrence or metastasis free rate (RMFR) of patients with or without AC in high- and low-groups.

RESULTS

In total, 960 imaging features were extracted. A CRM was constructed from nine features (seven imaging features and two clinical factors). In the training cohort, the area under curve (AUC) of CRM for 3-year RMFR was 0.872 (P <0.001), and the sensitivity and specificity were 0.935 and 0.672, respectively; In the validation cohort, the AUC was 0.864 (P <0.001), and the sensitivity and specificity were 1.00 and 0.75, respectively. Kaplan-Meier curve showed that the 3-year RMFR and 3-year cancer specific survival (CSS) rate in the high-risk group were significantly lower than those in the low-risk group (P <0.001). In the high-risk group, patients who received AC had greater 3-year RMFR than those who did not receive AC (78.6% vs. 48.1%) (p = 0.03).

CONCLUSION

Considering increasing RMFR, a prediction model for NPC based on two clinical factors and seven imaging features suggested the AC needs to be added to patients in the high-risk group and not in the low-risk group.

摘要

背景

鼻咽癌(NPC)患者是否应该接受辅助化疗(AC)?不同的指南提供了不同的建议。

方法

在这项回顾性研究中,共纳入了 140 名患者,对他们进行了 3 年的随访,收集了 24 项临床特征。通过 PyRadiomics 平台提取增强 MRI 序列上的影像学特征。采用皮尔逊相关系数和随机森林对与复发或转移相关的特征进行筛选。在训练队列中通过 Cox 多变量分析构建临床-放射组学模型(CRM),并在验证队列中进行验证。所有患者均通过模型的 Rad-score 中位数分为高低风险组。通过 Kaplan-Meier 生存曲线比较高、低风险组患者有无 AC 治疗的 3 年复发或转移无复发生存率(RMFR)。

结果

共提取了 960 个影像学特征。从 9 个特征(7 个影像学特征和 2 个临床因素)构建了一个 CRM。在训练队列中,CRM 预测 3 年 RMFR 的 AUC 为 0.872(P<0.001),灵敏度和特异度分别为 0.935 和 0.672;在验证队列中,AUC 为 0.864(P<0.001),灵敏度和特异度分别为 1.00 和 0.75。Kaplan-Meier 曲线显示,高危组的 3 年 RMFR 和 3 年癌症特异性生存率(CSS)明显低于低危组(P<0.001)。在高危组中,接受 AC 治疗的患者 3 年 RMFR 明显高于未接受 AC 治疗的患者(78.6%比 48.1%)(p=0.03)。

结论

考虑到 RMFR 的增加,基于两个临床因素和七个影像学特征的 NPC 预测模型提示高危组患者需要接受 AC 治疗,而低危组患者则不需要。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ba07/10522047/5e5996be25af/pone.0287031.g001.jpg

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