Delta magnetic resonance imaging radiomics features‑based nomogram predicts long‑term efficacy after induction chemotherapy in locoregionally advanced nasopharyngeal carcinoma

IF 5.4 3区材料科学 Q2 CHEMISTRY, PHYSICAL

ACS Applied Energy Materials Pub Date : 2024-08-10 DOI:10.1016/j.oraloncology.2024.106987

Guang-Sen Pan , Xiao-Ming Sun , Fang-Fang Kong , Jia-Zhou Wang, Xia-Yun He, Xue-Guan Lu, Chao-Su Hu, Si-Xue Dong, Hong-Mei Ying

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引用次数: 0

Abstract

Purpose

To establish and validate a delta-radiomics-based model for predicting progression-free survival (PFS) in patients with locoregionally advanced nasopharyngeal carcinoma (LA-NPC) following induction chemotherapy (IC).

Methods and Materials

A total of 250 LA-NPC patients (training cohort: n = 145; validation cohort: n = 105) were enrolled. Radiomic features were extracted from MRI scans taken before and after IC, and changes in these features were calculated. Following feature selection, a delta-radiomics signature was constructed using LASSO-Cox regression analysis. A prognostic nomogram incorporating independent clinical indicators and the delta-radiomics signature was developed and assessed for calibration and discrimination. Risk stratification by the nomogram was evaluated using Kaplan-Meier methods.

Results

The delta-radiomics signature, consisting of 12 features, was independently associated with prognosis. The nomogram, integrating the delta-radiomics signature and clinical factors demonstrated excellent calibration and discrimination. The model achieved a Harrell’s concordance index (C-index) of 0.848 in the training cohort and 0.820 in the validation cohort. Risk stratification identified two groups with significantly different PFS rates. The three-year PFS for high-risk patients who received concurrent chemoradiotherapy (CCRT) or radiotherapy plus adjuvant chemotherapy (RT+AC) after IC was significantly higher than for those who received RT alone, reaching statistical significance. In contrast, for low-risk patients, the three-year PFS after IC was slightly higher for those who received CCRT or RT+AC compared to those who received RT alone; however, this difference did not reach statistical significance.

Conclusions

Our delta MRI-based radiomics model could be useful for predicting PFS and may guide subsequent treatment decisions after IC in LA-NPC.

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基于德尔塔磁共振成像放射组学特征的提名图预测局部晚期鼻咽癌诱导化疗后的长期疗效

目的建立并验证一个基于δ-放射组学的模型，用于预测诱导化疗（IC）后局部区域晚期鼻咽癌（LA-NPC）患者的无进展生存期（PFS）。方法和材料共招募了250名LA-NPC患者（训练队列：n = 145；验证队列：n = 105）。从 IC 前后的 MRI 扫描中提取放射学特征，并计算这些特征的变化。特征选择后，使用 LASSO-Cox 回归分析构建了 delta 放射组学特征。结合独立的临床指标和δ-放射组学特征制定了预后提名图，并对其校准性和鉴别性进行了评估。结果由12个特征组成的δ-放射组学特征与预后有独立关联。整合了δ-放射组学特征和临床因素的提名图显示出良好的校准性和识别性。该模型在训练队列中的哈雷尔一致性指数（C-index）为0.848，在验证队列中为0.820。风险分层确定了两组具有显著差异的 PFS 率。IC 后接受同期化放疗（CCRT）或放疗加辅助化疗（RT+AC）的高危患者的三年生存期明显高于仅接受 RT 的患者，达到统计学意义。结论我们基于 delta MRI 的放射组学模型可用于预测 PFS，并可指导 LA-NPC IC 后的后续治疗决策。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

ACS Applied Energy Materials Materials Science-Materials Chemistry

CiteScore

10.30

自引率

6.20%

发文量

1368

期刊介绍： ACS Applied Energy Materials is an interdisciplinary journal publishing original research covering all aspects of materials, engineering, chemistry, physics and biology relevant to energy conversion and storage. The journal is devoted to reports of new and original experimental and theoretical research of an applied nature that integrate knowledge in the areas of materials, engineering, physics, bioscience, and chemistry into important energy applications.