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Stability and accuracy of fat quantification on photon-counting detector CT with various scan settings: A phantom study.
Zhang, Xu; Bao, Shouyu; Wang, Mengzhen; Xu, Zhihan; Yan, Fuhua; Yang, Wenjie.
Afiliación
  • Zhang X; Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
  • Bao S; Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
  • Wang M; Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
  • Xu Z; Siemens Healthineers CT Collaboration, Shanghai, China.
  • Yan F; Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
  • Yang W; Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China. Electronic address: lisa_ywj@163.com.
Eur J Radiol ; 177: 111545, 2024 Aug.
Article en En | MEDLINE | ID: mdl-38878499
ABSTRACT

OBJECTIVE:

Fat deposition is an important marker of many metabolic diseases. As a noninvasive and convenient examination method, CT has been widely used for fat quantification. With the clinical application of photon-counting detector (PCD)-CT, we aimed to investigate the accuracy, stability, and dose level of PCD-CT using various scan settings for fat quantification. MATERIALS AND

METHODS:

Eleven agar-based lipid-containing phantoms (vials with different fat fractions [FFs]; range 0 %-100 %) were scanned using PCD-CT. Three scanning types (sequence scan, regular spiral scan with a pitch of 0.8, and high-pitch spiral scan with a pitch of 3.2), four tube voltages (90, 120, 140, and 100 kV with a tin filter), and three image quality (IQ) levels (IQ levels of 20, 40, and 80) were alternated, and each scan setting was used twice. For each scan, a 70-keV image was generated using the same reconstruction parameters. A regular spiral scan at 120 kV with IQ80 was used to transfer the CT numbers of all scans to the FF. Intraclass correlation coefficient (ICC) and Bland-Altman analysis were implemented for accuracy and agreement evaluation, and group differences were compared using analysis of variance.

RESULTS:

Excellent agreement and accuracy of FF derived by PCD-CT with all scan settings was demonstrated by high ICCs (>0.9; range 0.929-0.998, p < 0.017) and low bias (<5% range -2.9 %-5%). The root mean square error (RMSE) between the PCD-CT-acquired FF and the reference standard ranged from 1.0 % to 5.0 %, among which the high-pitch scan at 120 kV with IQ20 accounted for the lowest RMSE (1.0 %). The spiral scan at 120 kV with IQ20 and IQ80 yielded the lowest bias (mean value 1.19 % and 1.23 %, respectively).

CONCLUSION:

Fat quantification using PCD-CT reconstructed at 70 keV was accurate and stable under various scan settings. PCD-CT has great potential for fat quantification using ultralow radiation doses.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Tejido Adiposo / Fotones / Fantasmas de Imagen Límite: Humans Idioma: En Revista: Eur J Radiol Año: 2024 Tipo del documento: Article País de afiliación: China

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Tejido Adiposo / Fotones / Fantasmas de Imagen Límite: Humans Idioma: En Revista: Eur J Radiol Año: 2024 Tipo del documento: Article País de afiliación: China