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Histogram analysis based on unenhanced CT for identifying thymoma and lymphoma a ...

已有 86 次阅读2025-1-5 17:43 |系统分类:医学科学

Abstract
Objective To determine whether histogram analysis based on unenhanced CT can play a role in the differential diagnosis of thymoma and lymphoma from thymic hyperplasia and cyst (mean CT attenuation > 10 HU).
Materials and methods This retrospective study included consecutive asymptomatic participants who have prevascular mediastinal lesions incidentally detected by unenhanced CT between December 2013 and August 2020, and with definitive diagnosis by pathology or additional radiologic work-ups. A total of thirteen histogram parameters on enhanced CT were calculated for each lesion, then were compared between tumor (thymoma lymphoma) and non-tumor (hyperplasia cyst). Receiver operating characteristic analysis was conducted to investigate the performance of histogram parameter for identifying tumor.通过非增强CT偶然发现血管前纵隔病变的无症状参与者,并通过病理学或额外的放射学检查进行明确诊断。计算每个病灶增强CT图像的13个直方图参数,比较肿瘤(胸腺瘤 淋巴瘤)与非肿瘤(增生 囊肿)的差异。采用受试者工作特征分析方法研究直方图参数对肿瘤的识别性能。
Results The study population included 192 patients (106 men and 86 women) with a mean age of 50.5 years at the time of CT examination. Of them, 94 patients have tumor (87 thymomas and 7 lymphoma) and 98 have non-tumor (48 thymic hyperplasia and 50 cysts). Nine of the thirteen histogram parameters revealed significant difference
between the two groups, including median, minimum, range, 10th percentile, 90th percentile, kurtosis, skewness, uniformity and entropy. No significant difference was observed in the mean CT attenuation between groups. Higher median was found to be independent predictors for distinguishing tumor from non-tumor, and can achieve an area
under the curve (AUC) of 0.785 (95% confidence interval [95% IC], 0.720–0.841). Conclusions Histogram analysis based on unenhanced CT may be able to provide some help in the differential diagnosis of incidental lesions in prevascular mediastinal.
计算每个病灶增强CT图像的13个直方图参数,比较肿瘤(胸腺瘤 淋巴瘤)与非肿瘤(增生 囊肿)的差异。采用受试者工作特征分析方法研究直方图参数对肿瘤的识别性能。
因此,基于CT平扫的直方图分析对纵隔血管前区偶发性病变的鉴别诊断有一定的帮助。包括中位数在内的9个参数能够区分肿瘤和非肿瘤病变,可能避免额外的放射学检查,并减少一些患者不必要的胸腺切除术。

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