Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2024 Oct;313(1):e232749.
doi: 10.1148/radiol.232749.

Detectability of Hypoattenuating Liver Lesions with Deep Learning CT Reconstruction: A Phantom and Patient Study

Affiliations

Detectability of Hypoattenuating Liver Lesions with Deep Learning CT Reconstruction: A Phantom and Patient Study

Jinjin Cao et al. Radiology. 2024 Oct.

Abstract

Background CT deep learning image reconstruction (DLIR) improves image quality by reducing noise compared with adaptive statistical iterative reconstruction-V (ASIR-V). However, objective assessment of low-contrast lesion detectability is lacking. Purpose To investigate low-contrast detectability of hypoattenuating liver lesions on CT scans reconstructed with DLIR compared with CT scans reconstructed with ASIR-V in a patient and a phantom study. Materials and Methods This single-center retrospective study included patients undergoing portal venous phase abdominal CT between February and May 2021 and a low-contrast-resolution phantom scanned with the same protocol. Four reconstructions (ASIR-V at 40% strength [ASIR-V 40] and DLIR at three strengths) were generated. Five radiologists qualitatively assessed the images using the five-point Likert scale for image quality, lesion diagnostic confidence, conspicuity, and small lesion (≤1 cm) visibility. Up to two key lesions per patient, confirmed at histopathologic testing or at prior or follow-up imaging studies, were included. Lesion-to-background contrast-to-noise ratio was calculated. Interreader variability was analyzed. Intergroup qualitative and quantitative metrics were compared between DLIR and ASIR-V 40 using proportional odds logistic regression models. Results Eighty-six liver lesions (mean size, 15 mm ± 9.5 [SD]) in 50 patients (median age, 62 years [IQR, 57-73 years]; 27 [54%] female patients) were included. Differences were not detected for various qualitative low-contrast detectability metrics between ASIR-V 40 and DLIR (P > .05). Quantitatively, medium-strength DLIR and high-strength DLIR yielded higher lesion-to-background contrast-to-noise ratios than ASIR-V 40 (medium-strength DLIR vs ASIR-V 40: odds ratio [OR], 1.96 [95% CI: 1.65, 2.33]; high-strength DLIR vs ASIR-V 40: OR, 5.36 [95% CI: 3.68, 7.82]; P < .001). Low-contrast lesion attenuation was reduced by 2.8-3.6 HU with DLIR. Interreader agreement was moderate to very good for the qualitative metrics. Subgroup analysis based on lesion size of larger than 1 cm and 1 cm or smaller yielded similar results (P > .05). Qualitatively, phantom study results were similar to those in patients (P > .05). Conclusion The detectability of low-contrast liver lesions was similar on CT scans reconstructed with low-, medium-, and high-strength DLIR and ASIR-V 40 in both patient and phantom studies. Lesion-to-background contrast-to-noise ratios were higher for DLIR medium- and high-strength reconstructions compared with ASIR-V 40. © RSNA, 2024 Supplemental material is available for this article.

PubMed Disclaimer

Conflict of interest statement

Disclosures of conflicts of interest: J.C. No relevant relationships. N. Mroueh No relevant relationships. N. Mercaldo No relevant relationships. S.L. Royalties and speakers fees from Amboss. S.K. No relevant relationships. S.S.R. No relevant relationships. N.P. No relevant relationships. V.B. No relevant relationships. T.T.P. Grants from GE HealthCare, National Institutes of Health, U.S. Department of Defense, American Roentgen Ray Society, Society of Abdominal Radiology; consulting fees from Autonomous Medical Technologies; payment or honoraria for lectures from Massachusetts Society of Radiology Technologists, Zhejiang Medical Association; patents pending, patents submitted; stock/stock options from Autonomous Medical Technologies. M.A.A. No relevant relationships. M.S. No relevant relationships. A.S.S.B. No relevant relationships. A.R.K. Grant from GE HealthCare, PanCAN, Philips Healthcare, Bayer; consulting fees from Bayer; payment or honoraria for lectures from IDKD, Texas Radiology Society; support for meetings from IDKD, Texas Radiology Society.

Similar articles

Cited by

References

    1. Kanal KM , Chung JH , Wang J , et al. . Image noise and liver lesion detection with MDCT: a phantom study . AJR Am J Roentgenol 2011. ; 197 ( 2 ): 437 – 441 . - PubMed
    1. Berland LL , Silverman SG , Gore RM , et al. . Managing incidental findings on abdominal CT: white paper of the ACR incidental findings committee . J Am Coll Radiol 2010. ; 7 ( 10 ): 754 – 773 . - PubMed
    1. Euler A , Stieltjes B , Szucs-Farkas Z , et al. . Impact of model-based iterative reconstruction on low-contrast lesion detection and image quality in abdominal CT: a 12-reader-based comparative phantom study with filtered back projection at different tube voltages . Eur Radiol 2017. ; 27 ( 12 ): 5252 – 5259 . [Published correction appears in Eur Radiol 2017;27(12):5260.] - PubMed
    1. Goenka AH , Herts BR , Obuchowski NA , et al. . Effect of reduced radiation exposure and iterative reconstruction on detection of low-contrast low-attenuation lesions in an anthropomorphic liver phantom: an 18-reader study . Radiology 2014. ; 272 ( 1 ): 154 – 163 . - PubMed
    1. Tirumani SH , Kim KW , Nishino M , et al. . Update on the role of imaging in management of metastatic colorectal cancer . RadioGraphics 2014. ; 34 ( 7 ): 1908 – 1928 . - PMC - PubMed