Characterizing incidental mass lesions in abdominal dual-energy CT compared to conventional contrast-enhanced CT

BACKGROUND: Incidental findings are common in abdominal computed tomography (CT) and often warrant further investigations with economic implications as well as implications for patients.

PURPOSE: To evaluate the potential of dual-energy CT (DECT) in the identification and/or characterization of abdominal incidental mass lesions compared to conventional contrast-enhanced CT.

MATERIAL AND METHODS: This retrospective study from a major tertiary hospital included 96 patients, who underwent contrast-enhanced abdominal DECT. Incidental lesions in adrenals, kidneys, liver, and pancreas were evaluated by two board-certified abdominal radiologists. Observer 1 only had access to standard CT reconstructions, while observer 2 had access to standard CT as well as DECT reconstructions. Disagreements were resolved by consensus review and used as a reference for observers using McNemar's test.

RESULTS: Observers 1 and 2 identified a total of 40 and 34 findings, respectively. Furthermore, observer 1 registered 13 lesions requiring follow-up, of which seven (two renal and five adrenal lesions) were resolved following consensus review using DECT (P = 0.008). The inter-observer agreement was near perfect (κ = 0.82).

CONCLUSION: DECT has the potential to improve the immediate characterization of incidental findings when compared to conventional CT for abdominal imaging.

Medienart:

E-Artikel

Erscheinungsjahr:

2023

Erschienen:

2023

Enthalten in:

Zur Gesamtaufnahme - volume:64

Enthalten in:

Acta radiologica (Stockholm, Sweden : 1987) - 64(2023), 3 vom: 02. März, Seite 945-950

Sprache:

Englisch

Beteiligte Personen:

Xu, Jack Junchi [VerfasserIn]
Ulriksen, Peter Sommer [VerfasserIn]
Bjerrum, Camilla Wium [VerfasserIn]
Achiam, Michael Patrick [VerfasserIn]
Resch, Timothy Andrew [VerfasserIn]
Lönn, Lars [VerfasserIn]
Lindskov Hansen, Kristoffer [VerfasserIn]

Links:

Volltext

Themen:

Abdomen/gastrointestinal
Computed tomography
Contrast Media
Dual-energy computed tomography
Journal Article

Anmerkungen:

Date Completed 21.03.2023

Date Revised 21.03.2023

published: Print-Electronic

Citation Status MEDLINE

doi:

10.1177/02841851221116306

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM344383970