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ArticleOsteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA2026

Recognition and reporting of vertebral fractures in thoracic and abdominal computed tomography images - have we learnt our lesson?

Dimai Hans Peter, Steiner Jakob, Igrec Jasminka, Stranger Nikolaus, Riedl Regina, Fuchsjäger Michael

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Article in Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Dimai Hans PeterDepartment of Internal Medicine, Division of Endocrinology & Diabetology, Medical University of Graz, Graz, Austria. hans.dimai@medunigraz.at.ORCID http://orcid.org/0000-0001-8155-8265
Steiner JakobDepartment of Radiology, Division of General Radiology, Medical University of Graz, Graz, Austria.ORCID http://orcid.org/0000-0001-6612-4418
Igrec JasminkaDepartment of Radiology, Division of General Radiology, Medical University of Graz, Graz, Austria.ORCID http://orcid.org/0000-0003-0247-8393
Stranger NikolausDepartment of Radiology, Division of Paediatric Radiology, Medical University of Graz, Graz, Austria.ORCID http://orcid.org/0009-0001-7274-9403
Riedl ReginaInstitute for Medical Informatics, Statistics and Documentation, Medical University of Graz, Graz, Austria.
Fuchsjäger MichaelDepartment of Radiology, Division of General Radiology, Medical University of Graz, Graz, Austria.ORCID http://orcid.org/0000-0002-5175-780X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The reporting rate of vertebral fractures (VFs) identified on routine thoracic and abdominal CT scans was evaluated. Only 14.7% of VFs were documented in the impression section of the radiology report. These findings indicate that the recognition and reporting of VFs on routine CT examinations have not improved over the past decade. PURPOSE: Vertebral fractures (VFs) are the most common osteoporotic fractures, yet they are substantially underreported on routine computed tomography (CT) scans. This study aimed to quantify the detection and reporting rates of VFs on thoracic and abdominal CT scans performed for non-musculoskeletal indications.

methodsOf 8500 CT scans performed at a large Austrian tertiary-care hospital in 2023, 1500 thoracic and abdominal CT scans were randomly selected. Two musculoskeletal radiologists independently assessed vertebral bodies of the thoracic and lumbar spine using Genant's semiquantitative method. Vertebral deformities were categorised as Grade 1 (20-25% height loss), Grade 2 (25-40%), or Grade 3 (>40%). For the purpose of this study, a VF was defined as Grade ≥ 2. Findings were compared with the original radiology reports to determine detection and reporting rates.

resultsConsensus results were available for 1481 CT scans from 1364 individuals. Overall, 170 VFs (11.5%) were identified in 164 patients. Of these, 35.9% (n = 61) were lumbar, 52.4% (n = 89) were thoracic, and 11.8% (n = 20) involved both regions. Only 14.7% of all VFs were documented in the impression section of the corresponding radiology report, whereas 50.0% (85/170) were mentioned in the narrative interpretation section. Inter-reader agreement was excellent (κ = 0.94).

conclusionDespite increasing awareness of osteoporosis, VFs remain underreported on routine thoracic and abdominal CT scans. Consequently, many patients may not receive appropriate osteoporosis evaluation and treatment, placing them at increased risk of subsequent fractures, disability, and increased mortality.

Indexed as

Computed tomographyOsteoporosisUnderreportingVertebral fracture

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.