Low-dose whole-body CT using deep learning image reconstruction: image quality and lesion detection.
Br J Radiol
; 94(1121): 20201329, 2021 May 01.
Article
in En
| MEDLINE
| ID: mdl-33571010
ABSTRACT
OBJECTIVES:
To evaluate image quality and lesion detection capabilities of low-dose (LD) portal venous phase whole-body computed tomography (CT) using deep learning image reconstruction (DLIR).METHODS:
The study cohort of 59 consecutive patients (mean age, 67.2 years) who underwent whole-body LD CT and a prior standard-dose (SD) CT reconstructed with hybrid iterative reconstruction (SD-IR) within one year for surveillance of malignancy were assessed. The LD CT images were reconstructed with hybrid iterative reconstruction of 40% (LD-IR) and DLIR (LD-DLIR). The radiologists independently evaluated image quality (5-point scale) and lesion detection. Attenuation values in Hounsfield units (HU) of the liver, pancreas, spleen, abdominal aorta, and portal vein; the background noise and signal-to-noise ratio (SNR) of the liver, pancreas, and spleen were calculated. Qualitative and quantitative parameters were compared between the SD-IR, LD-IR, and LD-DLIR images. The CT dose-index volumes (CTDIvol) and dose-length product (DLP) were compared between SD and LD scans.RESULTS:
The image quality and lesion detection rate of the LD-DLIR was comparable to the SD-IR. The image quality was significantly better in SD-IR than in LD-IR (p < 0.017). The attenuation values of all anatomical structures were comparable between the SD-IR and LD-DLIR (p = 0.28-0.96). However, background noise was significantly lower in the LD-DLIR (p < 0.001) and resulted in improved SNRs (p < 0.001) compared to the SD-IR and LD-IR images. The mean CTDIvol and DLP were significantly lower in the LD (2.9 mGy and 216.2 mGyâ¢cm) than in the SD (13.5 mGy and 1011.6 mGyâ¢cm) (p < 0.0001).CONCLUSION:
LD CT images reconstructed with DLIR enable radiation dose reduction of >75% while maintaining image quality and lesion detection rate and superior SNR in comparison to SD-IR. ADVANCES IN KNOWLEDGE Deep learning image reconstruction algorithm enables around 80% reduction in radiation dose while maintaining the image quality and lesion detection compared to standard-dose whole-body CT.
Full text:
1
Collection:
01-internacional
Database:
MEDLINE
Main subject:
Radiographic Image Interpretation, Computer-Assisted
/
Tomography, X-Ray Computed
/
Whole Body Imaging
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Deep Learning
/
Neoplasms
Type of study:
Diagnostic_studies
/
Observational_studies
/
Qualitative_research
Limits:
Adult
/
Aged
/
Aged80
/
Female
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Humans
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Male
/
Middle aged
Language:
En
Journal:
Br J Radiol
Year:
2021
Document type:
Article
Affiliation country:
Japón