Evidence map›Paper›PMID 35123466›Full record

ArticleBMC musculoskeletal disorders2022

Evaluation of MR-derived simulated CT-like images and simulated radiographs compared to conventional radiography in patients with shoulder pain: a proof-of-concept study.

Georg C Feuerriegel, Felix K Kopp, Daniela Pfeiffer, Jonas Pogorzelski, Markus Wurm, Yannik Leonhardt, Christof Boehm, Sophia Kronthaler, Dimitrios C Karampinos, Jan Neumann and 4 more

Open access · goldAbstract read
In one paragraph

Article in BMC musculoskeletal disorders, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
2.0field-weighted citation impact, top 15% 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

4 citing papers in PubMed, 10 citations in OpenAlex.

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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

14 authors at 3 institutions in 1 country.

Georg C FeuerriegelDepartment of Radiology, Klinikum Rechts der Isar, School of Medicine, Technical University of Munich, Munich, Germany. georg.feuerriegel@tum.de.
Felix K KoppDepartment of Radiology, Klinikum Rechts der Isar, School of Medicine, Technical University of Munich, Munich, Germany.
Daniela PfeifferDepartment of Radiology, Klinikum Rechts der Isar, School of Medicine, Technical University of Munich, Munich, Germany.
Jonas PogorzelskiDepartment of Orthopaedic Sports Medicine, Klinikum Rechts der Isar, School of Medicine, Technical University of Munich, Munich, Germany.
Markus WurmDepartment of Orthopaedic Sports Medicine, Klinikum Rechts der Isar, School of Medicine, Technical University of Munich, Munich, Germany.
Yannik LeonhardtDepartment of Radiology, Klinikum Rechts der Isar, School of Medicine, Technical University of Munich, Munich, Germany.
Christof BoehmDepartment of Radiology, Klinikum Rechts der Isar, School of Medicine, Technical University of Munich, Munich, Germany.
Sophia KronthalerDepartment of Radiology, Klinikum Rechts der Isar, School of Medicine, Technical University of Munich, Munich, Germany.
Dimitrios C KarampinosDepartment of Radiology, Klinikum Rechts der Isar, School of Medicine, Technical University of Munich, Munich, Germany.
Jan NeumannDepartment of Radiology, Klinikum Rechts der Isar, School of Medicine, Technical University of Munich, Munich, Germany.
Benedikt J SchwaigerDepartment of Radiology, Klinikum Rechts der Isar, School of Medicine, Technical University of Munich, Munich, Germany.
Marcus R MakowskiDepartment of Radiology, Klinikum Rechts der Isar, School of Medicine, Technical University of Munich, Munich, Germany.
Klaus WoertlerDepartment of Radiology, Klinikum Rechts der Isar, School of Medicine, Technical University of Munich, Munich, Germany.
Alexandra S GersingDepartment of Radiology, Klinikum Rechts der Isar, School of Medicine, Technical University of Munich, Munich, Germany.
Technical University of Munich · DEKlinikum rechts der Isar · DELMU Klinikum · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTo evaluate the diagnostic value of MR-derived CT-like images and simulated radiographs compared with conventional radiographs in patients with suspected shoulder pathology.

methods3 T MRI of the shoulder including a 3D T1-weighted gradient echo sequence was performed in 25 patients (mean age 52.4 ± 18 years, 13 women) with suspected shoulder pathology. Subsequently a cone-beam forward projection algorithm was used to obtain intensity-inverted CT-like images and simulated radiographs. Two radiologists evaluated the simulated images separately and independently using the conventional radiographs as the standard of reference, including measurements of the image quality, acromiohumeral distance, critical shoulder angle, degenerative joint changes and the acromial type. Additionally, the CT-like MR images were evaluated for glenoid defects, subcortical cysts and calcifications. Agreement between the MR-derived simulated radiographs and conventional radiographs was calculated using Cohen's Kappa.

resultsMeasurements on simulated radiographs and conventional radiographs overall showed a substantial to almost perfect inter- and intra-rater agreement (κ = 0.69-1.00 and κ = 0.65-0.85, respectively). Image quality of the simulated radiographs was rated good to excellent (1.6 ± 0.7 and 1.8 ± 0.6, respectively) by the radiologists. A substantial agreement was found regarding diagnostically relevant features, assessed on Y- and anteroposterior projections (κ = 0.84 and κ = 0.69 for the measurement of the CSA; κ = 0.95 and κ = 0.60 for the measurement of the AHD; κ = 0.77 and κ = 0.77 for grading of the Samilson-Prieto classification; κ = 0.83 and κ = 0.67 for the grading of the Bigliani classification, respectively).

conclusionIn this proof-of-concept study, clinically relevant features of the shoulder joint were assessed reliably using MR-derived CT-like images and simulated radiographs with an image quality equivalent to conventional radiographs. MR-derived CT-like images and simulated radiographs may provide useful diagnostic information while reducing the amount of radiation exposure.

Indexed as

Magnetic Resonance ImagingShoulder PainAcromionAdultAgedFemaleHumansMiddle AgedRadiographyReproducibility of ResultsTomography, X-Ray ComputedMagnetic resonance imagingRadiation-free radiographyRadiographyShoulder jointTomographyX-ray computed

Identifiers

PMID35123466
PMCPMC8818249
OpenAlexW4210322299

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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.