View : 446 Download: 144

Construction of an MRI-based decision tree to differentiate autoimmune and autoinflammatory inner ear disease from chronic otitis media with sensorineural hearing loss

Title
Construction of an MRI-based decision tree to differentiate autoimmune and autoinflammatory inner ear disease from chronic otitis media with sensorineural hearing loss
Authors
Lee, BoeunBae, Yun JungChoi, Byung YoonKim, Young SeokHan, Jin HeeKim, HyojinChoi, Byung SeKim, Jae Hyoung
Ewha Authors
이보은
SCOPUS Author ID
이보은scopusscopusscopus
Issue Date
2021
Journal Title
SCIENTIFIC REPORTS
ISSN
2045-2322JCR Link
Citation
SCIENTIFIC REPORTS vol. 11, no. 1
Publisher
NATURE PORTFOLIO
Indexed
SCIE; SCOPUS WOS scopus
Document Type
Article
Abstract
Autoimmune and autoinflammatory inner ear diseases (AIED/AID) are characterized by the symptom of sensorineural hearing loss (SNHL). To date, standardized diagnostic tools for AIED/AID are lacking, and clinically differentiating AIED/AID from chronic otitis media (COM) with SNHL is challenging. This retrospective study aimed to construct a magnetic resonance imaging (MRI)-based decision tree using classification and regression tree (CART) analysis to distinguish AIED/AID from COM. In total, 67 patients were enrolled between January 2004 and October 2019, comprising AIED/AID (n = 18), COM (n = 24), and control groups (n = 25). All patients underwent 3 T temporal bone MRI, including post-contrast T1-weighted images (postT1WI) and post-contrast FLAIR images (postFLAIR). Two radiologists evaluated the presence of otomastoid effusion and inner ear contrast-enhancement on MRI. A CART decision tree model was constructed using MRI features to differentiate AIED/AID from COM and control groups, and diagnostic performance was analyzed. High-intensity bilateral effusion (61.1%) and inner ear enhancement (postFLAIR, 93.8%; postT1WI, 61.1%) were the most common findings in the AIED/AID group. We constructed two CART decision tree models; the first used effusion amount as the first partitioning node and postT1WI-inner ear enhancement as the second node, whereas the second comprised two partitioning nodes with the degree of postFLAIR-enhancement of the inner ear. The first and second models enabled distinction of AIED/AID from COM with high specificity (100% and 94.3%, respectively). The amount of effusion and the degree of inner ear enhancement on MRI may facilitate the distinction between AIED/AID and COM with SNHL using decision tree models, thereby contributing to early diagnosis and intervention.
DOI
10.1038/s41598-021-98557-w
Appears in Collections:
의과대학 > 의학과 > Journal papers
Files in This Item:
s41598-021-98557-w.pdf(1.88 MB) Download
Export
RIS (EndNote)
XLS (Excel)
XML


qrcode

BROWSE