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DOI 10.1097/rct.0000000000001586

Медицинская библиотека · Journal of computer assisted tomography · 2024

Virtual Monoenergetic Images Facilitate Better Identification of the Arc of Riolan During Splenic Flexure Takedown.

Li Qian, Zhang Pengfei, Zhang Ranxu, Zhang Jianfeng, Tian Ruoxi, Gao Tianyi, Huang Yu, Zhang Ping, Wei Wei, Hong Rui, Wang Guiying, Zhao Jian

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Аннотация

OBJECTIVE

This study aimed to investigate whether virtual monoenergetic images (VMIs) can aid radiologists and surgeons in better identifying the arc of Riolan (AOR) and to determine the optimal kilo electron volt (keV) level.

METHODS

Thirty-three patients were included. Conventional images (CIs) and VMI (40-100 keV) were reconstructed using arterial phase spectral-based images. The computed tomography (CT) attenuation and noise of the AOR, the CT attenuation of the erector spinal muscle, and the background noise on VMI and CI were measured, respectively. The signal-to-noise ratio, contrast-to-noise ratio (CNR), and signal intensity ratio were calculated. The image quality of the AOR was evaluated according to a 4-point Likert grade.

RESULTS

The CT attenuation, noise, CNR, and signal intensity ratio of the AOR were significantly higher in VMI at 40 and 50 keV compared with CI ( P < 0.001); VMI at 40 keV was significantly higher than 50 keV ( P < 0.05). No significant difference in signal-to-noise ratio, background noise, and CT attenuation of the spinal erector muscle was observed between VMI and CI ( P > 0.05). virtual monoenergetic image at 40 keV produced the best subjective scores.

CONCLUSIONS

Virtual monoenergetic image at 40 keV makes it easier to observe the AOR with optimized subjective and objective image quality. This may prompt radiologists and surgeons to actively search for it and encourage surgeons to preserve it during splenic flexure takedown.

Для цитирования: Li Qian, Zhang Pengfei, Zhang Ranxu, Zhang Jianfeng, Tian Ruoxi, Gao Tianyi, Huang Yu, Zhang Ping, Wei Wei, Hong Rui, Wang Guiying, Zhao Jian. Virtual Monoenergetic Images Facilitate Better Identification of the Arc of Riolan During Splenic Flexure Takedown.. Journal of computer assisted tomography. 2024. DOI: 10.1097/rct.0000000000001586.

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