Evidence map›Paper›PMID 28597240›Full record

ArticleLa Radiologia medica2017

MR arthrography of the hip: evaluation of isotropic 3D intermediate-weighted FSE and hybrid GRE T1-weighted sequences.

Giovanni Foti, Antonio Campacci, Michele Conati, Mirko Trentadue, Claudio Zorzi, Giovanni Carbognin

Abstract readComparative Study
PubMed Publisher
In one paragraph

Article in La Radiologia medica, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Giovanni FotiDepartment of Radiology, Sacro Cuore Hospital, Negrar, Italy. gfoti81@yahoo.it.
Antonio CampacciDepartment of Orthopedic Surgery, Sacro Cuore Hospital, Negrar, Italy.
Michele ConatiDepartment of Orthopedic Surgery, Sacro Cuore Hospital, Negrar, Italy.
Mirko TrentadueDepartment of Radiology, Borgo Roma Hospital, Verona, Italy.
Claudio ZorziDepartment of Orthopedic Surgery, Sacro Cuore Hospital, Negrar, Italy.
Giovanni CarbogninDepartment of Radiology, Sacro Cuore Hospital, Negrar, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo compare the diagnostic performance of three-dimensional (3D) intermediate-weighted FSE (IW-3D) and 3D hybrid T1-weighted sequences (Hy-3D) and 2D fast-spin-echo sequences (FSE) in diagnosing chondral and labral lesions at 1.5 Tesla hip MR arthrography (MRA). MATERIALS AND

methodsInstitutional review board approval was obtained and informed consent was waived. Ninety-two consecutive patients were evaluated. Chondral and labral lesions were retrospectively and independently evaluated by two radiologists. Intra-operative findings were used as the reference standard (arthroscopy = 73, open surgery = 19). Sensitivity (Se), specificity (Sp), and accuracy (Acc) values that obtained were compared using McNemar test. A value of p < 0.05 was considered statistically significant. Inter-observer agreement was calculated using kappa statistics.

resultsSurgeons revealed 81 labrum and 44 chondral lesions, respectively. The highest Se, Sp, and Acc for Reader 1 were 96.3, 90.9, and 95.6%, respectively, in evaluating labral lesions (by reading 2D data set) and 90.9, 100, and 95.7% in evaluating chondral lesions (by reading IW-3D images). The highest Se, Sp, and Acc for Reader 2 were 93.8, 81.8, and 92.4% in evaluating labral lesions (using 2D images) and 88.6, 97.9, and 93.5%, respectively, in evaluating chondral lesions (using Hy-3D). The difference of diagnostic accuracy achieved was not significant (p > 0.05). A near-perfect inter-observer agreement was achieved by reading 2D data set (k = 0.88) and Hy-3D (k = 0.83) and IW-3D (k = 0.85).

conclusionsAt 1.5 Tesla hip MRA, the accuracy of IW-3D and Hy-3D images was not significantly higher than the 2D sequences in evaluating acetabular labrum and chondral lesions.

Indexed as

Imaging, Three-DimensionalAdolescentAdultFemaleHip InjuriesHumansMagnetic Resonance ImagingMaleMiddle AgedRetrospective StudiesSensitivity and SpecificityTreatment Outcome3D sequencesChondral defectsFemoro-acetabular impingementHip MR arthrographyLabral tears

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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.