18Fluorodeoxyglucose positron emission tomography (18F-FDG PET)–derived tumoral and peritumoral radiomic parameters can predict pathological subtype and survival in esophageal carcinoma

IF 2.1 3区医学 Q2 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Clinical radiology Pub Date : 2024-10-19 DOI:10.1016/j.crad.2024.10.011

K.A. Kucuker , A. Aksu , A. Alacacioglu , B. Turgut

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Abstract

AIM

The aim of this study is to investigate the importance of the quantitative parameters of the tumoral and peritumoral regions in prediction of pathological subtypes and 1-year survival in patients with esophageal carcinoma.

MATERIALS AND METHODS

A total of 103 patients with esophageal squamous cell carcinoma (SCC) and adenocarcinoma (AC) and in whom ¹⁸fluorodeoxyglucose positron emission tomography/computerized tomography (¹⁸F-FDG PET/CT) was performed were included in the study. One-year progression-free survival (PFS) and overall survival times of all patients were noted. Primary tumor and peritumoral area were drawn with manual segmentation on the ¹⁸F-FDG PET images. Seventy-three quantitative parameters were extracted from tumoral and peritumoral volumes of interest by using software. The differences of parameters of tumoral and peritumoral regions were determined statistically between pathological subtypes and between 1-year survivors and non-survivors.

RESULTS

Diagnostic models were created with the statistically significant parameters. The model that consists of a tumoral and a peritumoral parameter could classify the pathological subtypes in 61% of the patients correctly (area under the curve [AUC]: 0.706, 61.2% accuracy, 53.7% sensitivity, and 75% specificity). The model that was created with 2 tumoral parameters could classify the 1-year survival in 66% of the patients correctly (AUC: 0.695, 66% accuracy, 73.6% sensitivity, and 56.1% specificity). The model consisting of a tumoral and a peritumoral parameter detected 1-year PFS in 66% of the patients accurately (AUC: 0.687, 66% accuracy, 72.4% sensitivity, and 55.6% specificity).

CONCLUSION

The quantitative parameters obtained from tumoral and peritumoral regions can provide information about pathological subtypes and 1-year survival in esophageal carcinoma.

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18F-FDG PET（18F-脱氧葡萄糖正电子发射断层扫描）得出的肿瘤和瘤周放射学参数可预测食管癌的病理亚型和生存率。

目的：本研究旨在探讨肿瘤和瘤周区域定量参数在预测食管癌患者病理亚型和1年生存率方面的重要性：研究共纳入103例食管鳞状细胞癌（SCC）和腺癌（AC）患者，并对其进行了18氟脱氧葡萄糖正电子发射断层扫描/计算机断层扫描（18F-FDG PET/CT）。研究记录了所有患者的一年无进展生存期（PFS）和总生存期。在 18F-FDG PET 图像上手动分割原发肿瘤和瘤周区域。使用软件从肿瘤和瘤周感兴趣体积中提取 73 个定量参数。对不同病理亚型、1 年存活者和非存活者之间肿瘤和瘤周区域参数的差异进行统计学测定：结果：利用具有统计学意义的参数建立了诊断模型。由一个肿瘤参数和一个瘤周参数组成的模型可以正确地对 61% 的患者进行病理亚型分类（曲线下面积 [AUC]：0.706，61.2%）：0.706，准确率为 61.2%，灵敏度为 53.7%，特异性为 75%）。使用 2 个肿瘤参数创建的模型可对 66% 的患者的 1 年生存率进行正确分类（AUC：0.695，准确率 66%，灵敏度 73.6%，特异性 56.1%）。由肿瘤参数和瘤周参数组成的模型能准确检测出66%患者的1年生存期（AUC：0.687，准确率66%，灵敏度72.4%，特异性55.6%）：结论：从肿瘤和瘤周区域获得的定量参数可提供食管癌病理亚型和1年生存率的信息。

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

Clinical radiology 医学-核医学

CiteScore

4.70

自引率

3.80%

发文量

528

审稿时长

76 days

期刊介绍： Clinical Radiology is published by Elsevier on behalf of The Royal College of Radiologists. Clinical Radiology is an International Journal bringing you original research, editorials and review articles on all aspects of diagnostic imaging, including: • Computed tomography • Magnetic resonance imaging • Ultrasonography • Digital radiology • Interventional radiology • Radiography • Nuclear medicine Papers on radiological protection, quality assurance, audit in radiology and matters relating to radiological training and education are also included. In addition, each issue contains correspondence, book reviews and notices of forthcoming events.