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Reduced-Dose Deep Learning Reconstruction for Abdominal CT of Liver Metastases.

Publication ,  Journal Article
Jensen, CT; Gupta, S; Saleh, MM; Liu, X; Wong, VK; Salem, U; Qiao, W; Samei, E; Wagner-Bartak, NA
Published in: Radiology
April 2022

Background Assessment of liver lesions is constrained as CT radiation doses are lowered; evidence suggests deep learning reconstructions mitigate such effects. Purpose To evaluate liver metastases and image quality between reduced-dose deep learning image reconstruction (DLIR) and standard-dose filtered back projection (FBP) contrast-enhanced abdominal CT. Materials and Methods In this prospective Health Insurance Portability and Accountability Act-compliant study (September 2019 through April 2021), participants with biopsy-proven colorectal cancer and liver metastases at baseline CT underwent standard-dose and reduced-dose portal venous abdominal CT in the same breath hold. Three radiologists detected and characterized lesions at standard-dose FBP and reduced-dose DLIR, reported confidence, and scored image quality. Contrast-to-noise ratios for liver metastases were recorded. Summary statistics were reported, and a generalized linear mixed model was used. Results Fifty-one participants (mean age ± standard deviation, 57 years ± 13; 31 men) were evaluated. The mean volume CT dose index was 65.1% lower with reduced-dose CT (12.2 mGy) than with standard-dose CT (34.9 mGy). A total of 161 lesions (127 metastases, 34 benign lesions) with a mean size of 0.7 cm ± 0.3 were identified. Subjective image quality of reduced-dose DLIR was superior to that of standard-dose FBP (P < .001). The mean contrast-to-noise ratio for liver metastases of reduced-dose DLIR (3.9 ± 1.7) was higher than that of standard-dose FBP (3.5 ± 1.4) (P < .001). Differences in detection were identified only for lesions 0.5 cm or smaller: 63 of 65 lesions detected with standard-dose FBP (96.9%; 95% CI: 89.3, 99.6) and 47 lesions with reduced-dose DLIR (72.3%; 95% CI: 59.8, 82.7). Lesion accuracy with standard-dose FBP and reduced-dose DLIR was 80.1% (95% CI: 73.1, 86.0; 129 of 161 lesions) and 67.1% (95% CI: 59.3, 74.3; 108 of 161 lesions), respectively (P = .01). Lower lesion confidence was reported with a reduced dose (P < .001). Conclusion Deep learning image reconstruction (DLIR) improved CT image quality at 65% radiation dose reduction while preserving detection of liver lesions larger than 0.5 cm. Reduced-dose DLIR demonstrated overall inferior characterization of liver lesions and reader confidence. Clinical trial registration no. NCT03151564 © RSNA, 2022 Online supplemental material is available for this article.

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Published In

Radiology

DOI

EISSN

1527-1315

Publication Date

April 2022

Volume

303

Issue

1

Start / End Page

90 / 98

Location

United States

Related Subject Headings

  • Tomography, X-Ray Computed
  • Radiographic Image Interpretation, Computer-Assisted
  • Radiation Dosage
  • Prospective Studies
  • Nuclear Medicine & Medical Imaging
  • Male
  • Liver Neoplasms
  • Humans
  • Female
  • Deep Learning
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Jensen, C. T., Gupta, S., Saleh, M. M., Liu, X., Wong, V. K., Salem, U., … Wagner-Bartak, N. A. (2022). Reduced-Dose Deep Learning Reconstruction for Abdominal CT of Liver Metastases. Radiology, 303(1), 90–98. https://doi.org/10.1148/radiol.211838
Jensen, Corey T., Shiva Gupta, Mohammed M. Saleh, Xinming Liu, Vincenzo K. Wong, Usama Salem, Wei Qiao, Ehsan Samei, and Nicolaus A. Wagner-Bartak. “Reduced-Dose Deep Learning Reconstruction for Abdominal CT of Liver Metastases.Radiology 303, no. 1 (April 2022): 90–98. https://doi.org/10.1148/radiol.211838.
Jensen CT, Gupta S, Saleh MM, Liu X, Wong VK, Salem U, et al. Reduced-Dose Deep Learning Reconstruction for Abdominal CT of Liver Metastases. Radiology. 2022 Apr;303(1):90–8.
Jensen, Corey T., et al. “Reduced-Dose Deep Learning Reconstruction for Abdominal CT of Liver Metastases.Radiology, vol. 303, no. 1, Apr. 2022, pp. 90–98. Pubmed, doi:10.1148/radiol.211838.
Jensen CT, Gupta S, Saleh MM, Liu X, Wong VK, Salem U, Qiao W, Samei E, Wagner-Bartak NA. Reduced-Dose Deep Learning Reconstruction for Abdominal CT of Liver Metastases. Radiology. 2022 Apr;303(1):90–98.

Published In

Radiology

DOI

EISSN

1527-1315

Publication Date

April 2022

Volume

303

Issue

1

Start / End Page

90 / 98

Location

United States

Related Subject Headings

  • Tomography, X-Ray Computed
  • Radiographic Image Interpretation, Computer-Assisted
  • Radiation Dosage
  • Prospective Studies
  • Nuclear Medicine & Medical Imaging
  • Male
  • Liver Neoplasms
  • Humans
  • Female
  • Deep Learning