Inter-reader agreement for diagnosing thymic cysts on chest MRI in two tertiary referral centers

Despite the substantial role of chest MRI for the diagnosis and follow-up of thymic cysts, information about inter-reader agreement and optimal MR sequences is still limited. We aimed to investigate the inter-reader agreement for diagnosing thymic cysts using various combinations of MR sequences and to assess the effect of the addition of CT on inter-reader agreement. A total of 76 anterior mediastinal lesions (≤ 30 mm) from two tertiary referral hospitals (55 from Institution A and 21 from Institution B) who underwent chest CT and contrast-enhanced chest MR were included. Internal and external reading sets consisted of different combinations of MR sequences (pre- and post-contrast T1-weighted, T2-weighted, subtracted images, and diffusion-weighted imaging [DWI]/apparent diffusion coefficient [ADC] map) and CT. Four and three radiologists independently reviewed internal and external reading sets. The overall inter-reader agreement was moderate (κ = 0.50-0.57) for diagnosing cysts without significant differences between MR sequence combinations (all p-values > 0.05). The mean pairwise inter-reader agreement was the highest (κ = 0.65) when both the subtracted image and DWI/ADC map were provided. The addition of CT had no positive effect on the inter-reader agreement in the internal reading set (κ, from 0.57 to 0.50) but increased inter-reader agreement in the external reading set from moderate (κ = 0.48) to substantial (κ = 0.74). In conclusion, the overall inter-reader agreement for diagnosing thymic cysts on MRI was moderate. MR sequences including both the subtracted image and DWI/ADC map may be optimal in terms of inter-reader agreement.

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Publication Details

Journal
Scientific Reports
Published
2025-02-04
DOI
https://doi.org/10.1038/s41598-025-88975-5
Primary Topic
Myasthenia Gravis and Thymoma
Type
article
Field-Weighted Citation Impact
0.00

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article

Inter-reader agreement for diagnosing thymic cysts on chest MRI in two tertiary referral centers

Joon Beom Seo, Jooae Choe, Chu Hyun Kim, Yura Ahn et al.
Scientific Reports
Myasthenia Gravis and Thymoma
article

Inter-reader agreement for diagnosing thymic cysts on chest MRI in two tertiary referral centers

Joon Beom Seo, Jooae Choe, Chu Hyun Kim, Yura Ahn, Sang Min Lee, Sehee Kim, Ho Yun Lee
article en

Abstract

Despite the substantial role of chest MRI for the diagnosis and follow-up of thymic cysts, information about inter-reader agreement and optimal MR sequences is still limited. We aimed to investigate the inter-reader agreement for diagnosing thymic cysts using various combinations of MR sequences and to assess the effect of the addition of CT on inter-reader agreement. A total of 76 anterior mediastinal lesions (≤ 30 mm) from two tertiary referral hospitals (55 from Institution A and 21 from Institution B) who underwent chest CT and contrast-enhanced chest MR were included. Internal and external reading sets consisted of different combinations of MR sequences (pre- and post-contrast T1-weighted, T2-weighted, subtracted images, and diffusion-weighted imaging [DWI]/apparent diffusion coefficient [ADC] map) and CT. Four and three radiologists independently reviewed internal and external reading sets. The overall inter-reader agreement was moderate (κ = 0.50-0.57) for diagnosing cysts without significant differences between MR sequence combinations (all p-values > 0.05). The mean pairwise inter-reader agreement was the highest (κ = 0.65) when both the subtracted image and DWI/ADC map were provided. The addition of CT had no positive effect on the inter-reader agreement in the internal reading set (κ, from 0.57 to 0.50) but increased inter-reader agreement in the external reading set from moderate (κ = 0.48) to substantial (κ = 0.74). In conclusion, the overall inter-reader agreement for diagnosing thymic cysts on MRI was moderate. MR sequences including both the subtracted image and DWI/ADC map may be optimal in terms of inter-reader agreement.

Scientific ReportsVol. 15(1)
Ulsan College (KR), Asan Medical Center (KR), Samsung Medical Center (KR), University of Ulsan (KR), Sungkyunkwan University (KR)
National Research Foundation, National Research Foundation of Korea, Ministry of Science and ICT, South Korea, Samsung, Institute for Information and Communications Technology Promotion
Openalex Percentile: Top 97%
Myasthenia Gravis and Thymoma
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