id,collection,dc.contributor.author,dc.date.accessioned,dc.date.available,dc.date.issued,dc.description.abstract[en],dc.identifier.uri,dc.language,dc.rights.uri,dc.subject.ddc,dc.subject[en],dc.title,dc.type,dcterms.accessRights.openaire,dcterms.bibliographicCitation.doi,dcterms.bibliographicCitation.journaltitle,dcterms.bibliographicCitation.originalpublishername,dcterms.bibliographicCitation.pageend,dcterms.bibliographicCitation.pagestart,dcterms.bibliographicCitation.pmid,dcterms.bibliographicCitation.volume,dcterms.isPartOf.eissn,refubium.affiliation,refubium.funding,refubium.resourceType.isindependentpub "c03d89fd-fe93-4d7b-93fa-ef8db49bc154","fub188/15","Ardila Pardo, Gracia Lana||Conzelmann, Juliane||Genske, Ulrich||Hamm, Bernd||Scheel, Michael||Jahnke, Paul","2022-08-12T10:42:33Z","2022-08-12T10:42:33Z","2020","Objectives: Detectability experiments performed to assess the diagnostic performance of computed tomography (CT) images should represent the clinical situation realistically. The purpose was to develop anatomically realistic phantoms with low-contrast lesions for detectability experiments. Methods: Low-contrast lesions were digitally inserted into a neck CT image of a patient. The original and the manipulated CT images were used to create five phantoms: four phantoms with lesions of 10, 20, 30, and 40 HU contrast and one phantom without any lesion. Radiopaque 3D printing with potassium-iodide-doped ink (600 mg/mL) was used. The phantoms were scanned with different CT settings. Lesion contrast was analyzed using HU measurement. A 2-alternative forced choice experiment was performed with seven radiologists to study the impact of lesion contrast on detection accuracy and reader confidence (1 = lowest, 5 = highest). Results: The phantoms reproduced patient size, shape, and anatomy. Mean ± SD contrast values of the low-contrast lesions were 9.7 ± 1.2, 18.2 ± 2, 30.2 ± 2.7, and 37.7 ± 3.1 HU for the 10, 20, 30, and 40 HU contrast lesions, respectively. Mean ± SD detection accuracy and confidence values were not significantly different for 10 and 20 HU lesion contrast (82.1 ± 6.3% vs. 83.9 ± 9.4%, p = 0.863 and 1.7 ± 0.4 vs. 1.8 ± 0.5, p = 0.159). They increased to 95 ± 5.7% and 2.6 ± 0.7 for 30 HU lesion contrast and 99.5 ± 0.9% and 3.8 ± 0.7 for 40 HU lesion contrast (p < 0.005). Conclusions: A CT image was manipulated to produce anatomically realistic phantoms for low-contrast detectability experiments. The phantoms and our initial experiments provide a groundwork for the assessment of CT image quality in a clinical context.","https://refubium.fu-berlin.de/handle/fub188/35876||http://dx.doi.org/10.17169/refubium-35591","eng","https://creativecommons.org/licenses/by/4.0/","600 Technik, Medizin, angewandte Wissenschaften::610 Medizin und Gesundheit::610 Medizin und Gesundheit","Health physics||Neck||Phantoms, imaging||Radiation protection||Tomography, X-ray computed","3D printing of anatomically realistic phantoms with detection tasks to assess the diagnostic performance of CT images","Wissenschaftlicher Artikel","open access","10.1007/s00330-020-06808-7","European Radiology","Springer Nature","4563","4557","32221686","30","1432-1084","Charité - Universitätsmedizin Berlin","Springer Nature DEAL","no"