BMI是否影响低剂量胸部CT人工智能和人体阅读器肺结节的检测？

IF 3.3 3区医学 Q1 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING

European Journal of Radiology Pub Date : 2025-09-25 DOI:10.1016/j.ejrad.2025.112453

Nikos Sourlos , Marcel van Tuinen , Grigory Sidorenkov , Gonda de Jonge , Steven Schalekamp , Gert Jan Pelgrim , Marcel Greuter , Mieneke Rook , Mathias Prokop , Peter van Ooijen , Rozemarijn Vliegenthart

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引用次数: 0

摘要

目的：身体质量指数（BMI）可以通过较高的图像噪声水平影响低剂量计算机断层扫描（LDCT）的图像质量。我们评估了BMI是否会影响人工智能（AI）软件和人类阅读器对肺结节的检测。方法：本研究利用生命线队列的胸部LDCT扫描。我们纳入了1.5% BMI指数最高的参与者（平均= 39.8,sd = 3.0）和1.5% BMI指数最低的参与者（平均= 18.7,sd = 0.9）。结节检测由人工智能软件和训练有素的人类读者（HR）进行。两名胸部放射科医生审查了检测差异，由一位放射科专家解决了分歧。BMI组之间AI和HR的敏感性和每次扫描的假阳性（FP/scan）进行比较。结果：两组共176例患者，其中高BMI组131例，低BMI组136例。AI检出356个结节，HR检出251个，其中154个结节均被发现。高BMI组AI的敏感性为0.75(95%可信区间0.66 ~ 0.82)，低BMI组AI的敏感性为0.80(95%可信区间0.72 ~ 0.86)（p = 0.37）。高BMI组和低BMI组FP/scan分别为0.30和0.55 （p = 0.005）。高BMI组HR敏感性为0.76(0.68 ~ 0.83)，低BMI组HR敏感性为0.84 (0.76 ~ 0.89)(p = 0.17)， FP/scan分别为0.05和0.16 （p = 0.09）。在两个BMI组中，人工智能的FP/scan均高于人类阅读器(p)。结论：无论是人工智能还是人类阅读器，高BMI和低BMI对LDCT肺结节检测的敏感性均无显著差异。与人类读者相比，人工智能在两个BMI组中都有更高的FP/scan。

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Does BMI influence AI and human reader lung nodule detection in low-dose chest CT?

Purpose

Body mass index (BMI) can influence image quality in low dose computed tomography (LDCT) through higher image noise levels. We evaluated whether BMI affects lung nodule detection by artificial intelligence (AI) software and a human reader.

Method

The study utilized chest LDCT scans from the Lifelines cohort. We included 1.5 % participants at highest BMI (mean = 39.8, sd = 3.0), and 1.5 % at lowest BMI (mean = 18.7, sd = 0.9). Nodule detection was performed by AI software and by a trained human reader (HR). Two chest radiologists reviewed detection discrepancies, with disagreements resolved by an expert radiologist. Sensitivity and false positives per scan (FP/scan) were compared between BMI groups, for AI versus HR.

Results

There were 176 participants in both groups, with 131 nodules in high BMI, and 136 in low BMI. AI detected 356 nodular findings and HR 251, including 154 nodules found by both. AI’s sensitivity was 0.75 (95 % confidence interval 0.66–0.82) in high BMI, and 0.80 (0.72–0.86) in low BMI groups (p = 0.37). FP/scan was 0.30 and 0.55 in high and low BMI, respectively (p = 0.005). HR’s sensitivity was 0.76 (0.68–0.83) in high BMI, and 0.84 (0.76–0.89) in low BMI groups (p = 0.17), with FP/scan of 0.05 and 0.16, respectively (p = 0.09). In both BMI groups, AI had more FP/scan than the human reader (p < 0.001).

Conclusions

Sensitivity for lung nodule detection in LDCT was not significantly different for high versus low BMI, either for AI or human reader. Compared to the human reader, AI had higher FP/scan in both BMI groups.

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来源期刊

European Journal of Radiology 医学-核医学

CiteScore

6.70

自引率

3.00%

发文量

398

审稿时长

42 days

期刊介绍： European Journal of Radiology is an international journal which aims to communicate to its readers, state-of-the-art information on imaging developments in the form of high quality original research articles and timely reviews on current developments in the field. Its audience includes clinicians at all levels of training including radiology trainees, newly qualified imaging specialists and the experienced radiologist. Its aim is to inform efficient, appropriate and evidence-based imaging practice to the benefit of patients worldwide.