Evidence map›Paper›PMID 28050572›Full record

ArticleOrthopaedic journal of sports medicine2016

Comparison of a Novel Weightbearing Cone Beam Computed Tomography Scanner Versus a Conventional Computed Tomography Scanner for Measuring Patellar Instability.

John Marzo, Melissa Kluczynski, Anthony Notino, Leslie Bisson

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in Orthopaedic journal of sports medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04242732 (Assessment of Patellar Stability in Patients Who Underwent Reconstruction of the Medium Patello-femoral Ligament With Fascia Lata Allograft), which is not on this map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
1.4field-weighted citation impact, top 18% 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.

NCT04242732 nacompletednot on this mapstarted 2019, after this paper: background citation

Assessment of Patellar Stability in Patients Who Underwent Reconstruction of the Medium Patello-femoral Ligament With Fascia Lata Allograft: Comparison Between Conventional CT and Under Weight-bearing CT

TypeinterventionalSponsorIstituto Ortopedico RizzoliRan2019 to 2020Enrolled20ConditionsPatellofemoral DislocationArmsCT scan of the knee under weight-bearing with the Cone Beam Computed Tomography (CBCT) scanner system., Conventional CT scan
3 · Its place in the literature

Who cites it

18 citing papers in PubMed, 1 synthesis or guideline pooled it, 36 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Observational
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Future Directions in Patellofemoral Imaging and 3D Modeling.Current reviews in musculoskeletal medicine · 2022
    Review
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. 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

4 authors at 1 institution in 1 country.

John MarzoDepartment of Orthopaedics, The Jacobs School of Medicine & Biomedical Sciences, The State University of New York, University at Buffalo, Buffalo, New York, USA.
Melissa KluczynskiDepartment of Orthopaedics, The Jacobs School of Medicine & Biomedical Sciences, The State University of New York, University at Buffalo, Buffalo, New York, USA.
Anthony NotinoDepartment of Orthopaedics, The Jacobs School of Medicine & Biomedical Sciences, The State University of New York, University at Buffalo, Buffalo, New York, USA.
Leslie BissonDepartment of Orthopaedics, The Jacobs School of Medicine & Biomedical Sciences, The State University of New York, University at Buffalo, Buffalo, New York, USA.
University at Buffalo, State University of New York · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundConventional computed tomography (CT) images are routinely used for diagnosing patellofemoral instability and are obtained with the patient in a supine position, nonweightbearing, with the knee in full extension, and with leg muscles relaxed. A new portable extremity cone beam CT (CBCT) scanner has been developed that may allow for more accurate diagnosis, as imaging can be performed with the patient standing, the knee flexed, and with leg muscles active. PURPOSE/HYPOTHESIS: The purpose of this study was to compare CT measurements of patellar alignment on a prototype scanner versus conventional scanner in patients with known patellar instability. The hypothesis was that the measurements obtained with the knee flexed and the patient weightbearing would be less than those obtained from the conventional CT scan. STUDY

designCross-sectional study; Level of evidence, 3.

methodsTwenty patients with a diagnosis of lateral patellar instability were imaged on both a conventional CT scanner and on a prototype CBCT scanner. Objective measures of patellofemoral alignment (tilt angle, congruence angle, tibial tuberosity-trochlear groove [TT-TG] offset) were assessed on images obtained from the prototype and conventional CT scans by 2 independent reviewers. Paired

resultsMeasurements of patellofemoral alignment were significantly less when acquired by the new prototype CBCT scanner while subjects were weightbearing on a flexed knee. On the images from the prototype CBCT scan, the tilt angle averaged 18.2° ± 11.6° compared with 28.1° ± 7.1° on the conventional CT scan (

conclusionIn patients with patellar instability, measurements of patellofemoral alignment are reduced on images obtained from a new weightbearing extremity CBCT scanner on a flexed knee versus conventional CT in the supine position with a fully extended knee. Improvement in objective measurements of patellar alignment should lead to improved clinical and surgical care of patients with this condition.

Indexed as

CT scaninstabilitypatellaWeightbearing

Identifiers

PMID28050572
PMCPMC5175415
OpenAlexW2560612149

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

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.