A radiomic signature based on magnetic resonance imaging to determine adrenal Cushing's syndrome.

IF 0.9 Q4 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING

Polish Journal of Radiology Pub Date : 2023-01-01 DOI:10.5114/pjr.2023.124435

Ferhat Can Piskin, Gamze Akkus, Sevinc Puren Yucel, Bisar Akbas, Fulya Odabası

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引用次数: 0

Abstract

Purpose: The aim of this study was to develop radiomics signature-based magnetic resonance imaging (MRI) to determine adrenal Cushing's syndrome (ACS) in adrenal incidentalomas (AI).

Material and methods: A total of 50 patients with AI were included in this study. The patients were grouped as nonfunctional adrenal incidentaloma (NFAI) and ACS. The lesions were segmented on unenhanced T1-weighted (T1W) in-phase (IP) and opposed-phase (OP) as well as on T2-weighted (T2-W) 3-Tesla MRIs. The LASSO regression model was used for the selection of potential predictors from 111 texture features for each sequence. The radiomics scores were compared between the groups.

Results: The median radiomics score in T1W-Op for the NFAI and ACS were -1.17 and -0.17, respectively (p < 0.001). Patients with ACS had significantly higher radiomics scores than NFAI patients in all phases (p < 0.001 for all). The AUCs for radiomics scores in T1W-Op, T1W-Ip, and T2W were 0.862 (95% CI: 0.742-0.983), 0.892 (95% CI: 0.774-0.999), and 0.994 (95% CI: 0.982-0.999), respectively.

Conclusion: The developed MRI-based radiomic scores can yield high AUCs for prediction of ACS.

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基于磁共振成像的放射特征来确定肾上腺库欣综合征。

目的:本研究的目的是发展基于放射组学特征的磁共振成像(MRI)来确定肾上腺偶发瘤(AI)中的肾上腺库欣综合征(ACS)。材料与方法:本研究共纳入50例AI患者。患者分为非功能性肾上腺偶发瘤(NFAI)和ACS。在未增强的t1加权(T1W)同期(IP)和对期(OP)以及t2加权(T2-W) 3-Tesla mri上对病变进行分割。利用LASSO回归模型从每个序列的111个纹理特征中选择潜在的预测因子。比较两组放射组学评分。结果:NFAI和ACS的T1W-Op中位放射组学评分分别为-1.17和-0.17 (p < 0.001)。ACS患者的放射组学评分在所有分期均显著高于NFAI患者(p < 0.001)。T1W-Op、T1W-Ip和T2W放射组学评分的auc分别为0.862 (95% CI: 0.742-0.983)、0.892 (95% CI: 0.774-0.999)和0.994 (95% CI: 0.982-0.999)。结论:建立的基于mri的放射组学评分可获得较高的auc，用于预测ACS。

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

Polish Journal of Radiology RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING-

CiteScore

2.10

自引率

0.00%

发文量