m2ABQ—a proposed refinement of the modified algorithm-based qualitative classification of osteoporotic vertebral fractures

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Aaltonen, H. L.Lund University,Lunds universitet,Diagnostisk radiologi, Malmö,Forskargrupper vid Lunds universitet,Radiology Diagnostics, Malmö,Lund University Research Groups,University of Washington (författare)

m2ABQ—a proposed refinement of the modified algorithm-based qualitative classification of osteoporotic vertebral fractures

Artikel/kapitelEngelska2023

Förlag, utgivningsår, omfång ...

2022-11-07
Springer Science and Business Media LLC,2023

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LIBRIS-ID:oai:lup.lub.lu.se:947d0b4e-d213-4b03-8526-02f9e9361920
https://lup.lub.lu.se/record/947d0b4e-d213-4b03-8526-02f9e9361920URI
https://doi.org/10.1007/s00198-022-06546-0DOI

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Språk:engelska
Sammanfattning på:engelska

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Ämneskategori:ref swepub-contenttype

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Summary: Currently, there is no reproducible, widely accepted gold standard to classify osteoporotic vertebral body fractures (OVFs). The purpose of this study is to refine a method with clear rules to classify OVFs for machine learning purposes. The method was found to have moderate interobserver agreement that improved with training. Introduction: The current methods to classify osteoporotic vertebral body fractures are considered ambiguous; there is no reproducible, accepted gold standard. The purpose of this study is to refine classification methodology by introducing clear, unambiguous rules and a refined flowchart to allow consistent classification of osteoporotic vertebral body fractures. Methods: We developed a set of rules and refinements that we called m2ABQ to classify vertebrae into five categories. A fracture-enriched database of thoracic and lumbar spine radiographs of patients 65 years of age and older was retrospectively obtained from clinical institutional radiology records using natural language processing. Five raters independently classified each vertebral body using the m2ABQ system. After each annotation round, consensus sessions that included all raters were held to discuss and finalize a consensus annotation for each vertebral body where individual raters’ evaluations differed. This process led to further refinement and development of the rules. Results: Each annotation round showed increase in Fleiss kappa both for presence vs absence of fracture 0.62 (0.56–0.68) to 0.70 (0.65–0.75), as well as for the whole m2ABQ scale 0.29 (0.25–0.33) to 0.54 (0.51–0.58). Conclusion: The m2ABQ system demonstrates moderate interobserver agreement and practical feasibility for classifying osteoporotic vertebral body fractures. Future studies to compare the method to existing studies are warranted, as well as further development of its use in machine learning purposes.

Ämnesord och genrebeteckningar

MEDICIN OCH HÄLSOVETENSKAP Klinisk medicin Radiologi och bildbehandling hsv//swe
MEDICAL AND HEALTH SCIENCES Clinical Medicine Radiology, Nuclear Medicine and Medical Imaging hsv//eng
Fracture classification
Osteoporosis
Vertebral body fracture

Biuppslag (personer, institutioner, konferenser, titlar ...)

O’Reilly, M. K.University of Washington (författare)
Linnau, K. F.University of Washington (författare)
Dong, Q.University of Washington (författare)
Johnston, S. K.University of Washington (författare)
Jarvik, J. G.University of Washington (författare)
Cross, N. M.University of Washington (författare)
Diagnostisk radiologi, MalmöForskargrupper vid Lunds universitet (creator_code:org_t)

Sammanhörande titlar

Ingår i:Osteoporosis International: Springer Science and Business Media LLC34:1, s. 137-1450937-941X1433-2965

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Osteoporosis International (Sök värdpublikationen i LIBRIS)

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Av författaren/redakt...: Aaltonen, H. L.; O’Reilly, M. K.; Linnau, K. F.; Dong, Q.; Johnston, S. K.; Jarvik, J. G.; visa fler...; Cross, N. M.; visa färre...

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MEDICIN OCH HÄLSOVETENSKAP: MEDICIN OCH HÄLS ...; och Klinisk medicin; och Radiologi och bi ...

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