The reproducibility of manual RV/LV ratio measurement on CT pulmonary angiography.


Journal

BJR open
ISSN: 2513-9878
Titre abrégé: BJR Open
Pays: England
ID NLM: 101749810

Informations de publication

Date de publication:
2022
Historique:
received: 12 09 2022
accepted: 18 09 2022
medline: 28 11 2022
pubmed: 28 11 2022
entrez: 18 3 2024
Statut: epublish

Résumé

Right ventricular (RV) dysfunction carries elevated risk in acute pulmonary embolism (PE). An increased ratio between the size of the right and left ventricles (RV/LV ratio) is a biomarker of RV dysfunction. This study evaluated the reproducibility of RV/LV ratio measurement on CT pulmonary angiography (CTPA). 20 inpatient CTPA scans performed to assess for acute PE were retrospectively identified from a tertiary UK centre. Each scan was evaluated by 14 radiologists who provided a qualitative overall opinion on the presence of RV dysfunction and measured the RV/LV ratio. Using a threshold of 1.0, the RV/LV ratio measurements were classified as positive (≥1.0) or negative (<1.0) for RV dysfunction. Interobserver agreement was quantified using the Fleiss κ and intraclass correlation coefficient (ICC). Qualitative opinion of RV dysfunction showed weak agreement (κ = 0.42, 95% CI 0.37-0.46). The mean RV/LV ratio measurement for all cases was 1.28 ± 0.68 with significant variation between reporters ( Both qualitative opinion and quantitative manual RV/LV ratio measurement show poor agreement for identifying RV dysfunction on CTPA. Caution should be exerted if using manual RV/LV ratio measurements to inform clinical risk stratification and management decisions.

Identifiants

pubmed: 38495814
doi: 10.1259/bjro.20220041
pii: bjro.20220041
pmc: PMC10941330
doi:

Types de publication

Journal Article

Langues

eng

Pagination

20220041

Informations de copyright

© 2022 The Authors. Published by the British Institute of Radiology.

Auteurs

Sarah Lanham (S)

Department of Clinical Radiology, Sheffield Teaching Hospitals NHS Foundation Trust, Sheffield, United Kingdom.

Ahmed Maiter (A)

Department of Clinical Radiology, Sheffield Teaching Hospitals NHS Foundation Trust, Sheffield, United Kingdom.
Department of Infection, Immunity and Cardiovascular Disease, University of Sheffield, Sheffield, United Kingdom.

Andrew J Swift (AJ)

Department of Clinical Radiology, Sheffield Teaching Hospitals NHS Foundation Trust, Sheffield, United Kingdom.
Department of Infection, Immunity and Cardiovascular Disease, University of Sheffield, Sheffield, United Kingdom.
INSIGNEO Institute for In Silico Medicine, University of Sheffield, Sheffield, United Kingdom.

Krit Dwivedi (K)

Department of Clinical Radiology, Sheffield Teaching Hospitals NHS Foundation Trust, Sheffield, United Kingdom.
Department of Infection, Immunity and Cardiovascular Disease, University of Sheffield, Sheffield, United Kingdom.
INSIGNEO Institute for In Silico Medicine, University of Sheffield, Sheffield, United Kingdom.

Samer Alabed (S)

Department of Clinical Radiology, Sheffield Teaching Hospitals NHS Foundation Trust, Sheffield, United Kingdom.
Department of Infection, Immunity and Cardiovascular Disease, University of Sheffield, Sheffield, United Kingdom.
INSIGNEO Institute for In Silico Medicine, University of Sheffield, Sheffield, United Kingdom.

Oscar Evans (O)

Department of Clinical Radiology, Sheffield Teaching Hospitals NHS Foundation Trust, Sheffield, United Kingdom.

Michael J Sharkey (MJ)

Department of Infection, Immunity and Cardiovascular Disease, University of Sheffield, Sheffield, United Kingdom.
INSIGNEO Institute for In Silico Medicine, University of Sheffield, Sheffield, United Kingdom.

Suzanne Matthews (S)

Department of Clinical Radiology, Sheffield Teaching Hospitals NHS Foundation Trust, Sheffield, United Kingdom.

Christopher S Johns (CS)

Department of Clinical Radiology, Sheffield Teaching Hospitals NHS Foundation Trust, Sheffield, United Kingdom.

Classifications MeSH