• IMA sites
  • IMAJ services
  • IMA journals
  • Doctors card
  • Follow us
  • Alternate Text Alternate Text
עמוד בית
Thu, 02.02.23

Search results


September 2021
Ariel Kerpel MD, Edith Michelle Marom MD, Michael Green PhD, Michal Eifer MD, Eli Konen MD, Arnaldo Mayer PhD, and Sonia L. Betancourt Cuellar MD

Background: Medical imaging and the resultant ionizing radiation exposure is a public concern due to the possible risk of cancer induction.

Objectives: To assess the accuracy of ultra-low-dose (ULD) chest computed tomography (CT) with denoising versus normal dose (ND) chest CT using the Lung CT Screening Reporting and Data System (Lung-RADS).

Methods: This prospective single-arm study comprised 52 patients who underwent both ND and ULD scans. Subsequently AI-based denoising methods were applied to produce a denoised ULD scan. Two chest radiologists independently and blindly assessed all scans. Each scan was assigned a Lung-RADS score and grouped as 1 + 2 and 3 + 4.

Results: The study included 30 men (58%) and 22 women (42%); mean age 69.9 ± 9 years (range 54–88). ULD scan radiation exposure was comparable on average to 3.6–4.8% of the radiation depending on patient BMI. Denoising increased signal-to-noise ratio by 27.7%. We found substantial inter-observer agreement in all scans for Lung-RADS grouping. Denoised scans performed better than ULD scans when negative likelihood ratio (LR-) was calculated (0.04–-0.08 vs. 0.08–0.12). Other than radiation changes, diameter measurement differences and part-solid nodules misclassification as a ground-glass nodule caused most Lung-RADS miscategorization.

Conclusions: When assessing asymptomatic patients for pulmonary nodules, finding a negative screen using ULD CT with denoising makes it highly unlikely for a patient to have a pulmonary nodule that requires aggressive investigation. Future studies of this technique should include larger cohorts and be considered for lung cancer screening as radiation exposure is radically reduced.

August 2020
Noam Nissan MD PhD, Ariel Kerpel MD, Daniela Noa Zohar MD, David Orion MD, Sharon Amit MD PhD, Edith Michelle Marom MD and Eli Konen MD MHA
April 2020
Ariel Kerpel MD, Noam Nissan MD, Maximiliano Klug MD, Sharon Amit MD PhD, Eli Konen MD and Edith M Marom MD
Legal Disclaimer: The information contained in this website is provided for informational purposes only, and should not be construed as legal or medical advice on any matter.
The IMA is not responsible for and expressly disclaims liability for damages of any kind arising from the use of or reliance on information contained within the site.
© All rights to information on this site are reserved and are the property of the Israeli Medical Association. Privacy policy

2 Twin Towers, 35 Jabotinsky, POB 3566, Ramat Gan 5213604 Israel