Evidence map›Paper›PMID 40190724›Full record

ArticleOsteoarthritis imaging2025

Ultrasound-Based Statistical Shape Modeling for Quantifying Femoral Trochlear Bone Shape Post-ACLR.

Arjun Parmar, Anthony A Gatti, Ryan Fajardo, Matthew S Harkey

Abstract read
In one paragraph

Article in Osteoarthritis imaging, 2025. 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
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

4 authors.

Arjun ParmarMichigan State University, East Lansing, MI, United States.
Anthony A GattiStanford University, Stanford, CA, United States.
Ryan FajardoLansing Radiology Associates, Lansing, MI, United States.
Matthew S HarkeyMichigan State University, East Lansing, MI, United States.

Funding

Walk this Way: Physical Activity and Walking Biomechanics Lead to Early Knee OA Symptoms and Ultrasound-Detected Structural Pathology after ACL ReconstructionK01AR081389 · NIAMS · MICHIGAN STATE UNIVERSITY · PI Matthew Harkey · 2022 to 2026
$689k
NIAMS NIH HHS K01 AR081389
6 · The paper itself

Abstract

Objective: Traditional assessments of femoral bone shape are inaccessible and do not adequately describe the full complexity of concave bone shape. We aimed to develop and validate an ultrasound-based statistical shape model (SSM) and derived bone shape score (B-Score) to quantify femoral trochlear bone shape morphology associated with anterior cruciate ligament reconstruction (ACLR). Design: Cross-sectional investigation involving 20 individuals with and 28 individuals without a history of ACLR. Bilateral ultrasound images of the femoral trochlear groove were acquired and analyzed. Both the SSM and B-Score were validated using 5-fold cross-validation, assessing reconstruction and classification accuracy, respectively. Results: In held out test data, the SSM captured over 99% of the bone shape variance with minimal reconstruction error (RMSE = 0.027 ± 0.004 mm). On test data, the B-Score accurately quantified bone shape associated with ACLR, demonstrating high accuracy (92.42%), sensitivity (97.37%), specificity (85.71%), and AUROC (0.95). A B-Score threshold of 1.41 standard deviations from the mean healthy bone shape was identified for classifying ACLR history. Conclusions: The ultrasound-based SSM and derived B-Score provide a valid and accessible method for quantifying femoral trochlear bone shape changes post-ACLR. This approach offers potential for early detection of bone shape changes associated with disease and injury, improving long-term outcomes for ACLR patients. Future research should focus on enhancing model generalizability and assessment of bone shape changes longitudinally.

Identifiers

PMID40190724
PMCPMC11970480

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.