Golkar Ehsan, Neupane Taindra, Wilson Lydia, Kwak Jennifer, Castillo Richard, Castillo Edward, Vinogradskiy Yevgeniy
Department of Radiation Oncology, Thomas Jefferson University, Philadelphia, USA.
Department of Radiology, University of Colorado School of Medicine, Aurora, USA.
J Appl Clin Med Phys. 2025 Jun;26(6):e70088. doi: 10.1002/acm2.70088. Epub 2025 Apr 8.
Methods have been developed that apply image processing to 4DCTs to generate 4DCT-ventilation/perfusion lung imaging. Traditional methods for 4DCT-ventilation rely on Hounsfield-Unit (HU) density-change methods and suffer from poor numerical robustness while not providing 4DCT-perfusion data. The purpose of this work was to evaluate the clinical differences between classic HU-based 4DCT-ventilation approaches and novel 4DCT-ventilation/perfusion approaches.
Data from 63 lung cancer patients enrolled in a functional avoidance clinical trial were analyzed. 4DCT-data were used to generate four lung-function images: (1) classical HU-based 4DCT-ventilation ("4DCT-vent-HU"), and three novel, statistically robust methods: (2) 4DCT-ventilation based on the Mass Conserving Volume Change ("4DCT-vent-MCVC"), (3) 4DCT-ventilation using the Integrated Jacobian Formulation, and (4) 4DCT-perfusion. A radiologist reviewed all images for ventilation/perfusion defects (scored as yes/no) and the scores for the novel approaches were compared to those of 4DCT-vent-HU using receiver operating characteristic (ROC) analysis. Functional contours were generated using thresholding methods, and the contours from the three novel 4DCT-ventilation methods were compared against that from 4DCT-vent-HU (Dice similarity coefficients [DSC]). Functional mean lung dose (fMLD) and dose-function metrics were compared against dose-function metrics using 4DCT-vent-HU.
ROC analysis revealed accuracy in the range of 0.55 to 0.73 comparing radiologist interpretations of 4DCT-vent-HU against the three novel approaches. Average DSC values were 0.41 ± 0.19, 0.44 ± 0.16, and 0.42 ± 0.17 comparing 4DCT-vent-HU to 4DCT-vent-IJF, 4DCT-vent-MCVC, and 4DCT-perf, respectively. All novel imaging methods showed significant differences (p < 0.01) in dose-function metrics compared to those of 4DCT-vent-HU. 4DCT-vent-MCVC and 4DCT-Perf depicted the smallest and largest differences from 4DCT-vent-HU in fMLD (3.51 ± 3.20 Gy and 5.90 ± 5.29 Gy, respectively).
This is the first work to comprehensively compare novel 4DCT-ventilation/perfusion methods against classical formulations. Our data show that significant differences between the 4DCT-based functional imaging methods exist, suggesting that studies are needed to evaluate which methods provide the most robust clinical results.
已开发出将图像处理应用于4DCT以生成4DCT通气/灌注肺部成像的方法。传统的4DCT通气方法依赖于亨氏单位(HU)密度变化方法,数值稳健性较差,且无法提供4DCT灌注数据。本研究的目的是评估基于经典HU的4DCT通气方法与新型4DCT通气/灌注方法之间的临床差异。
分析了63名参加功能回避临床试验的肺癌患者的数据。4DCT数据用于生成四张肺功能图像:(1)基于经典HU的4DCT通气(“4DCT-vent-HU”),以及三种新型的、具有统计学稳健性的方法:(2)基于质量守恒体积变化的4DCT通气(“4DCT-vent-MCVC”),(3)使用积分雅可比公式的4DCT通气,以及(4)4DCT灌注。一名放射科医生检查了所有图像的通气/灌注缺陷(评分为是/否),并使用受试者操作特征(ROC)分析将新型方法的评分与4DCT-vent-HU的评分进行比较。使用阈值化方法生成功能轮廓,并将三种新型4DCT通气方法的轮廓与4DCT-vent-HU的轮廓进行比较(骰子相似系数[DSC])。将功能平均肺剂量(fMLD)和剂量功能指标与使用4DCT-vent-HU的剂量功能指标进行比较。
ROC分析显示,将放射科医生对4DCT-vent-HU的解读与三种新型方法进行比较时,准确率在0.55至0.73之间。将4DCT-vent-HU与4DCT-vent-IJF、4DCT-vent-MCVC和4DCT-perf进行比较时,平均DSC值分别为0.41±0.19、0.44±0.16和0.42±0.17。与4DCT-vent-HU相比,所有新型成像方法在剂量功能指标上均显示出显著差异(p<0.01)。4DCT-vent-MCVC和4DCT-Perf在fMLD方面与4DCT-vent-HU的差异最小和最大(分别为3.51±3.20 Gy和5.90±5.29 Gy)。
这是第一项全面比较新型4DCT通气/灌注方法与经典配方的研究。我们的数据表明,基于4DCT的功能成像方法之间存在显著差异,这表明需要进行研究来评估哪种方法能提供最稳健的临床结果。