Pulmonary nodule visualization and evaluation of AI-based detection at various ultra-low-dose levels using photon-counting detector CT

At half dose, PCD CT showed pulmonary nodules similar to full-dose PCD, and at quarter dose, PCD CT performed comparably to standard low-dose EID CT. The CAD algorithm is effective even at ultra-low doses.

Authors

Thomas Frauenfelder (ORCID: https://orcid.org/0000-0002-3295-6619)
André Euler (ORCID: https://orcid.org/0000-0001-5019-4585)
Lisa Jungblut (ORCID: https://orcid.org/0000-0003-2078-4730)
Vanessa Englmaier
Anna Landsmann (ORCID: https://orcid.org/0000-0001-8240-5797)
Medina Sefirovic
Victor Mergen

Institutions

University of Zurich (CH)
University Hospital of Zurich (CH)

Publication Details

Journal: Acta Radiologica
Published: 2024-09-15
DOI: https://doi.org/10.1177/02841851241275289
Citations: 6
Primary Topic: Advanced X-ray and CT Imaging
Type: article
Field-Weighted Citation Impact: 1.11

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article

Pulmonary nodule visualization and evaluation of AI-based detection at various ultra-low-dose levels using photon-counting detector CT

Thomas Frauenfelder, André Euler, Lisa Jungblut, Vanessa Englmaier et al.

Sep 15, 2024

6 citations

Acta Radiologica

Advanced X-ray and CT Imaging

1.11

article

Pulmonary nodule visualization and evaluation of AI-based detection at various ultra-low-dose levels using photon-counting detector CT

Thomas Frauenfelder, André Euler, Lisa Jungblut, Vanessa Englmaier, Anna Landsmann, Medina Sefirovic, Victor Mergen

September 15, 2024article en

6 citations

Abstract

At half dose, PCD CT showed pulmonary nodules similar to full-dose PCD, and at quarter dose, PCD CT performed comparably to standard low-dose EID CT. The CAD algorithm is effective even at ultra-low doses.

Acta RadiologicaVol. 65(10)

University of Zurich (CH), University Hospital of Zurich (CH)

Good health and well-being

Openalex Percentile: Top 24%

Advanced X-ray and CT Imaging

1.11

DOI Source OpenAlex

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