Evidence map›Paper›PMID 42635965›Full record

ArticleOsteoarthritis imaging2026

Automatic extraction of 2D patellofemoral bone morphology and alignment measures from 3D models in a young adolescent population.

Rosemarijn van Paassen, Nazli Tümer, Inge Bosch, Jukka Hirvasniemi, Erin M Macri, Eva Langius, Amy Roos, Tom M Piscaer, Amir A Zadpoor, Stefan Klein and 3 more

Abstract read
In one paragraph

Article in Osteoarthritis imaging, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
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0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors.

Rosemarijn van PaassenErasmus Medical Center Rotterdam, Dr. Molewaterplein 40, 3015 GD Rotterdam. Electronic address: r.vanpaassen@erasmusmc.nl.
Nazli TümerErasmus Medical Center Rotterdam, Dr. Molewaterplein 40, 3015 GD Rotterdam; Technical University Delft, Mekelweg 5, 2628 CD Delft. Electronic address: n.tumer-1@tudelft.nl.
Inge BoschErasmus Medical Center Rotterdam, Dr. Molewaterplein 40, 3015 GD Rotterdam. Electronic address: i.t.bosch@amsterdamumc.nl.
Jukka HirvasniemiErasmus Medical Center Rotterdam, Dr. Molewaterplein 40, 3015 GD Rotterdam; Technical University Delft, Mekelweg 5, 2628 CD Delft. Electronic address: j.hirvasniemi@erasmusmc.nl.
Erin M MacriErasmus Medical Center Rotterdam, Dr. Molewaterplein 40, 3015 GD Rotterdam. Electronic address: e.macri@erasmusmc.nl.
Eva LangiusErasmus Medical Center Rotterdam, Dr. Molewaterplein 40, 3015 GD Rotterdam. Electronic address: evalangius@gmail.com.
Amy RoosErasmus Medical Center Rotterdam, Dr. Molewaterplein 40, 3015 GD Rotterdam. Electronic address: a.roos@etz.nl.
Tom M PiscaerErasmus Medical Center Rotterdam, Dr. Molewaterplein 40, 3015 GD Rotterdam. Electronic address: t.piscaer@erasmusmc.nl.
Amir A ZadpoorTechnical University Delft, Mekelweg 5, 2628 CD Delft. Electronic address: a.a.zadpoor@tudelft.nl.
Stefan KleinErasmus Medical Center Rotterdam, Dr. Molewaterplein 40, 3015 GD Rotterdam. Electronic address: s.klein@erasmusmc.nl.
Sita M A Bierma-ZeinstraErasmus Medical Center Rotterdam, Dr. Molewaterplein 40, 3015 GD Rotterdam. Electronic address: s.bierma-zeinstra@erasmusmc.nl.
Edwin H G OeiErasmus Medical Center Rotterdam, Dr. Molewaterplein 40, 3015 GD Rotterdam. Electronic address: e.oei@erasmusmc.nl.
Marienke van MiddelkoopErasmus Medical Center Rotterdam, Dr. Molewaterplein 40, 3015 GD Rotterdam. Electronic address: m.vanmiddelkoop@erasmusmc.nl.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo determine the concurrent validity of automatically extracted alignment variables and morphology measures and to establish reference values and evaluate sex-based differences among a young adolescent population.

designData from 1912 participants who underwent knee MRI within a large prospective population cohort study were included. Patellar and femoral landmarks were automatically extracted from two previously created statistical shape models (SSMs). Landmarks were extracted manually in 2D, manually in 3D and using the automated method of landmark extraction in 3D. Using these landmarks, four patellofemoral alignment variables and thirteen morphology measures were calculated. Concurrent validity of alignment variables and morphology measures calculated using automatically extracted landmarks compared to manual annotation on MRI was tested using a two-way, mixed-effects model with multiple raters and absolute agreement ICC. Differences between boys and girls were determined using an independent samples two-tailed t-test.

resultsTwo alignment variables and seven morphology measures demonstrated good validity with the automated SSM-based method, with an ICC>0.75 for patellar tilt angle (ICC=0.83), bisect offset (ICC=0.93), epicondylar width (ICC=0.95), patellar width (ICC=0.86), patellar length (ICC=0.83), femoral notch width (ICC=0.90), femoral notch depth (ICC=0.83) medial (ICC=0.94) and lateral condyle length to epicondylar width ratio (ICC=0.92). Reference values of the two alignment and seven morphology measures all differed between boys and girls.

conclusionAlignment variables and morphology measures can be accurately determined in 3D. All alignment variables and morphology measures, with at least a good ICC, differed between boys and girls.

Indexed as

Alignment variablesAutomatic extractionConcurrent validityFemurKneeMorphology measuresPatella

Identifiers

PMID42635965
PMCPMC13590919

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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.