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Feasibility of using software-aided selection of virtual monoenergetic level for optimal image quality of acute necrotising pancreatitis based on dual-energy computed tomography: a preliminary study.
Yuan, Yuan; Liao, Kai; Huang, Zixing; Deng, Liping; Tang, Hehan; Wang, Yi; Ye, Zheng; Chen, Xinyue; Song, Bin; Li, Zhenlin.
Afiliação
  • Yuan Y; Department of Radiology, West China Hospital, Sichuan University, No. 37 Guoxue Lane, Chengdu, 610041, Sichuan, P.R. China.
  • Liao K; Department of Radiology, West China Hospital, Sichuan University, No. 37 Guoxue Lane, Chengdu, 610041, Sichuan, P.R. China.
  • Huang Z; Department of Radiology, West China Hospital, Sichuan University, No. 37 Guoxue Lane, Chengdu, 610041, Sichuan, P.R. China.
  • Deng L; Department of Radiology, West China Hospital, Sichuan University, No. 37 Guoxue Lane, Chengdu, 610041, Sichuan, P.R. China.
  • Tang H; Department of Radiology, West China Hospital, Sichuan University, No. 37 Guoxue Lane, Chengdu, 610041, Sichuan, P.R. China.
  • Wang Y; Department of Radiology, West China Hospital, Sichuan University, No. 37 Guoxue Lane, Chengdu, 610041, Sichuan, P.R. China.
  • Ye Z; Department of Radiology, West China Hospital, Sichuan University, No. 37 Guoxue Lane, Chengdu, 610041, Sichuan, P.R. China.
  • Chen X; CT collaboration, Siemens-healthineers, Chengdu, 610041, Sichuan, P.R. China.
  • Song B; Department of Radiology, West China Hospital, Sichuan University, No. 37 Guoxue Lane, Chengdu, 610041, Sichuan, P.R. China. cjr.songbin@vip.163.com.
  • Li Z; Department of Radiology, West China Hospital, Sichuan University, No. 37 Guoxue Lane, Chengdu, 610041, Sichuan, P.R. China. HX_lizhenlin@126.com.
BMC Med Imaging ; 23(1): 95, 2023 07 18.
Article em En | MEDLINE | ID: mdl-37464338
ABSTRACT

OBJECTIVE:

This study aimed to assess the feasibility of software-aided selection of monoenergetic level for acute necrotising pancreatitis (ANP) depiction compared to other automatic image series generated using dual-energy computed tomography (CT).

METHODS:

The contrast-enhanced dual-source dual-energy CT images in the portal venous phase of 48 patients with ANP were retrospectively analysed. Contrast-to-noise ratio (CNR) of pancreatic parenchyma-to-necrosis, signal-to-noise ratio (SNR) of the pancreas, image noise, and score of subjective diagnosis were measured, calculated, and compared among the CT images of 100 kV, Sn140 kV, weighted-average 120 kV, and optimal single-energy level for CNR.

RESULTS:

CNR of pancreatic parenchyma-to-necrosis in the images of 100 kV, Sn140 kV, weighted-average 120 kV, and the optimal single-energy level for CNR was 5.18 ± 2.39, 3.13 ± 1.35, 5.69 ± 2.35, and 9.99 ± 5.86, respectively; SNR of the pancreas in each group was 6.31 ± 2.77, 4.27 ± 1.56, 7.21 ± 2.69, and 11.83 ± 6.30, respectively; image noise in each group was 18.78 ± 5.20, 17.79 ± 4.63, 13.28 ± 3.13, and 9.31 ± 2.96, respectively; and score of subjective diagnosis in each group was 3.56 ± 0.50, 3.00 ± 0.55, 3.48 ± 0.55, and 3.88 ± 0.33, respectively. The four measurements of the optimal single-energy level for CNR images were significantly different from those of images in the other three groups (P < 0.05). CNR of pancreatic parenchyma-to-necrosis, SNR of the pancreas, and score of subjective diagnosis in the images of the optimal single-energy level for CNR were significantly higher, while the image noise was lower than those in the other three groups (all P = 0.000).

CONCLUSION:

Optimal single-energy level imaging for CNR of dual-source CT could improve quality of CT images in patients with ANP, enhancing the display of necrosis in the pancreas.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Imagem Radiográfica a Partir de Emissão de Duplo Fóton / Pancreatite Necrosante Aguda Tipo de estudo: Observational_studies Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Imagem Radiográfica a Partir de Emissão de Duplo Fóton / Pancreatite Necrosante Aguda Tipo de estudo: Observational_studies Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article