Suppr超能文献

基于模型迭代重建的超低剂量胸部计算机断层扫描在实性肺结节分析中的前瞻性研究。

Ultra-low-dose chest computed tomography with model-based iterative reconstruction in the analysis of solid pulmonary nodules: A prospective study.

作者信息

O'Regan Patrick W, Harold-Barry Antonia, O'Mahony Alexander T, Crowley Claire, Joyce Stella, Moore Niamh, O'Connor Owen J, Henry Michael T, Ryan David J, Maher Michael M

机构信息

Department of Radiology, School of Medicine, University College Cork, Cork T12 AK54, Ireland.

Department of Radiology, Cork University Hospital, Cork T12 DC4A, Ireland.

出版信息

World J Radiol. 2024 Nov 28;16(11):668-677. doi: 10.4329/wjr.v16.i11.668.

Abstract

BACKGROUND

Incidental pulmonary nodules are an increasingly common finding on computed tomography (CT) scans of the thorax due to the exponential rise in CT examinations in everyday practice. The majority of incidental pulmonary nodules are benign and correctly identifying the small number of malignant nodules is challenging. Ultra-low-dose CT (ULDCT) has been shown to be effective in diagnosis of respiratory pathology in comparison with traditional standard dose techniques. Our hypothesis was that ULDCT chest combined with model-based iterative reconstruction (MBIR) is comparable to standard dose CT (SDCT) chest in the analysis of pulmonary nodules with significant reduction in radiation dose.

AIM

To prospectively compare ULDCT chest combined with MBIR with SDCT chest in the analysis of solid pulmonary nodules.

METHODS

A prospective cohort study was conducted on adult patients ( = 30) attending a respiratory medicine outpatient clinic in a tertiary referral university hospital for surveillance of previously detected indeterminate pulmonary nodules on SDCT chest. This study involved the acquisition of a reference SDCT chest followed immediately by an ULDCT chest. Nodule identification, nodule characterisation, nodule measurement, objective and subjective image quality and radiation dose were compared between ULDCT with MBIR and SDCT chest.

RESULTS

One hundred solid nodules were detected on ULDCT chest and 98 on SDCT chest. There was no significant difference in the characteristics of correctly identified nodules when comparing SDCT chest to ULDCT chest protocols. Signal-to-noise ratio was significantly increased in the ULDCT chest in all areas except in the paraspinal muscle at the maximum cardiac diameter level ( < 0.001). The mean subjective image quality score for overall diagnostic acceptability was 8.9/10. The mean dose length product, computed tomography volume dose index and effective dose for the ULDCT chest protocol were 5.592 mGy.cm, 0.16 mGy and 0.08 mSv respectively. These were significantly less than the SDCT chest protocol ( < 0.001) and represent a radiation dose reduction of 97.6%.

CONCLUSION

ULDCT chest combined with MBIR is non-inferior to SDCT chest in the analysis of previously identified solid pulmonary nodules and facilitates a large reduction in radiation dose.

摘要

背景

由于日常实践中CT检查呈指数级增长,偶然发现的肺结节在胸部计算机断层扫描(CT)中越来越常见。大多数偶然发现的肺结节是良性的,正确识别少数恶性结节具有挑战性。与传统的标准剂量技术相比,超低剂量CT(ULDCT)已被证明在呼吸道疾病诊断中有效。我们的假设是,ULDCT胸部联合基于模型的迭代重建(MBIR)在分析肺结节方面与标准剂量CT(SDCT)胸部相当,且辐射剂量显著降低。

目的

前瞻性比较ULDCT胸部联合MBIR与SDCT胸部在实性肺结节分析中的效果。

方法

对一家三级转诊大学医院呼吸内科门诊的成年患者(n = 30)进行前瞻性队列研究,以监测之前在SDCT胸部检查中发现的不确定肺结节。本研究包括先进行一次参考SDCT胸部扫描,随后立即进行ULDCT胸部扫描。比较了ULDCT联合MBIR与SDCT胸部在结节识别、结节特征描述、结节测量、客观和主观图像质量以及辐射剂量方面的差异。

结果

ULDCT胸部检测到100个实性结节,SDCT胸部检测到98个。比较SDCT胸部和ULDCT胸部方案时,正确识别结节的特征没有显著差异。除最大心脏直径水平的椎旁肌外,ULDCT胸部所有区域的信噪比均显著提高(P < 0.001)。总体诊断可接受性的平均主观图像质量评分为8.9/10。ULDCT胸部方案的平均剂量长度乘积、计算机断层扫描容积剂量指数和有效剂量分别为5.592 mGy.cm、0.16 mGy和0.08 mSv。这些均显著低于SDCT胸部方案(P < 0.001),辐射剂量降低了97.6%。

结论

ULDCT胸部联合MBIR在分析先前发现的实性肺结节方面不劣于SDCT胸部,且有助于大幅降低辐射剂量。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b6a3/11612801/4a85634c55a6/WJR-16-668-g001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验