Virtual monoenergetic imaging predicting Ki-67 expression in lung cancer

This study aimed to optimize slope and energy levels for evaluating Ki-67 expression in lung cancer using virtual monoenergetic imaging and compare the predictive efficiency of different energy spectrum slopes (λHU) for Ki-67. Forty-three patients with primary lung cancer confirmed via pathological...

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Bibliographic Details
Published in:Scientific reports 2023-03, Vol.13 (1), p.3774-3774, Article 3774
Main Authors: Dou, Peipei, Zhao, Hengliang, Zhong, Dan, Hu, Yingliang, Liu, Bin, Zhang, Haiyan, Cao, Aihong
Format: Article
Language:English
Subjects:
631/67
692/4028
692/700
Arteries
Computed tomography
Energy
Humanities and Social Sciences
Humans
Ki-67 Antigen
Lung cancer
Lung Neoplasms - diagnostic imaging
multidisciplinary
Pulmonary lesions
ROC Curve
Science
Science (multidisciplinary)
Statistical analysis
Tomography, X-Ray Computed
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Summary:This study aimed to optimize slope and energy levels for evaluating Ki-67 expression in lung cancer using virtual monoenergetic imaging and compare the predictive efficiency of different energy spectrum slopes (λHU) for Ki-67. Forty-three patients with primary lung cancer confirmed via pathological examination were enrolled in this study. They underwent baseline arterial-phase (AP) and venous-phase (VP) energy spectrum computed tomography (CT) scanning before surgery. The CT values were 40–190 keV, with 40–140 keV indicating pulmonary lesions at AP and VP, and P  
ISSN:2045-2322
2045-2322
DOI:10.1038/s41598-023-30974-5