Evidence map›Paper›PMID 32368744›Full record

ArticleArthroscopy, sports medicine, and rehabilitation2020

Evaluation of Statistical Shape Modeling in Quantifying Femoral Morphologic Differences Between Symptomatic and Nonsymptomatic Hips in Patients with Unilateral Femoroacetabular Impingement Syndrome.

Timothy C Keating, Natalie Leong, Edward C Beck, Benedict U Nwachukwu, Alejandro A Espinoza Orías, Xioaping Qian, Kang Li, Shane J Nho

Open access · goldAbstract read
In one paragraph

Article in Arthroscopy, sports medicine, and rehabilitation, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.6field-weighted citation impact, top 17% of its field
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

2 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. [Rapid femur modeling method based on statistical shape model].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2022
    Article
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

8 authors at 4 institutions in 1 country.

Timothy C KeatingDepartment of Orthopedic Surgery, Rush University Medical Center, Chicago, Illinois, U.S.A.
Natalie LeongDepartment of Orthopedic Surgery, University of Maryland, Baltimore, Maryland, U.S.A.
Edward C BeckDepartment of Orthopedic Surgery, Wake Forest Baptist Health, Winston-Salem, North Carolina, U.S.A.
Benedict U NwachukwuDepartment of Orthopedic Surgery, Rush University Medical Center, Chicago, Illinois, U.S.A.
Alejandro A Espinoza OríasDepartment of Orthopedic Surgery, Rush University Medical Center, Chicago, Illinois, U.S.A.
Xioaping QianDepartment of Orthopedic Surgery, Rush University Medical Center, Chicago, Illinois, U.S.A.
Kang LiSiemens Digital Industries Software, Plano, Texas, U.S.A.
Shane J NhoDepartment of Orthopedic Surgery, University of Maryland, Baltimore, Maryland, U.S.A.
Rush University Medical Center · USUniversity of Maryland, Baltimore · USAtrium Health Wake Forest Baptist · USDigital Science (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo determine whether statistical shape modeling can detect subtle morphologic differences in the shape of the proximal femur that correlate with clinical findings of unilateral femoroacetabular impingement syndrome.

methodsPatients who had diagnoses of unilateral femoroacetabular impingement syndrome and who had existing computed tomography scans of their pelvises were included. Three-dimensional shape models in the form of triangle meshes were generated from the computed tomography images. Statistical shapes of cam-type and normal hips were compared to identify structural differences.

resultsThe study included 33 hips in 17 subjects. Of the subjects, 7 (41.1%) were male, and 10 (58.9%) were female. The subjects ranged in age from 17-60 years of age (mean 36.3 ± 11.0 years old). The statistical shape modeling found mean shapes and modes after optimizing the groupwise correspondence. Symptomatic hips demonstrated 1 mm of thickening as compared to the femoral necks of asymptomatic hips, corresponding to cam lesions.

conclusionsSymptomatic cam deformities were an average of 1 mm more prominent in the femoral neck region as compared to the asymptomatic hips when using statistical shape modeling. The present study provides a proof of the concept that statistical shape modeling can be used to examine and help define cam morphology and that subtle morphologic differences may account for developing femoroacetabular impingement syndrome. CLINICAL RELEVANCE: Using the methods presented in this study, it would be possible to define cam and pincer morphologies by creating statistical shape models, and this work could potentially lead to the development of a new classification system for femoroacetabular impingement syndrome lesions.

Identifiers

PMID32368744
PMCPMC7190539
OpenAlexW3004981170

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.