Evidence map›Paper›PMID 41295118›Full record

ArticleJournal of imaging2025

Knee Cartilage Quantification: Performance of Low-Field MR in Detecting Low Grades of Chondropathy.

Francesco Pucciarelli, Antonio Marino, Maria Carla Faugno, Giuseppe Argento, Edoardo Monaco, Andrea Redler, Nicola Maffulli, Pierfrancesco Orlandi, Marta Zerunian, Domenico De Santis and 4 more

Abstract read
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Article in Journal of 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.

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0citing 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

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.

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3 · Its place in the literature

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

14 authors.

Francesco PucciarelliRadiology Unit, Department of Surgical and Medical Sciences and Translational Medicine, Sapienza University of Rome, Sant'Andrea Hospital, 00189 Rome, Italy.ORCID 0000-0001-7263-1125
Antonio MarinoRadiology Unit, Department of Surgical and Medical Sciences and Translational Medicine, Sapienza University of Rome, Sant'Andrea Hospital, 00189 Rome, Italy.ORCID 0009-0008-4165-4402
Maria Carla FaugnoRadiology Unit, Department of Surgical and Medical Sciences and Translational Medicine, Sapienza University of Rome, Sant'Andrea Hospital, 00189 Rome, Italy.ORCID 0009-0002-6372-7509
Giuseppe ArgentoRadiology Unit, Department of Surgical and Medical Sciences and Translational Medicine, Sapienza University of Rome, Sant'Andrea Hospital, 00189 Rome, Italy.ORCID 0000-0003-1643-0745
Edoardo MonacoDepartment of Orthopaedic Surgery, Sapienza University of Rome, Sant'Andrea Hospital, 00189 Rome, Italy.
Andrea RedlerDepartment of Orthopaedic Surgery, Sapienza University of Rome, Sant'Andrea Hospital, 00189 Rome, Italy.
Nicola MaffulliDepartment of Orthopaedic Surgery, Sapienza University of Rome, Sant'Andrea Hospital, 00189 Rome, Italy.
Pierfrancesco OrlandiDepartment of Orthopaedic Surgery, Sapienza University of Rome, Sant'Andrea Hospital, 00189 Rome, Italy.ORCID 0000-0003-4104-4248
Marta ZerunianRadiology Unit, Department of Surgical and Medical Sciences and Translational Medicine, Sapienza University of Rome, Sant'Andrea Hospital, 00189 Rome, Italy.ORCID 0000-0003-4635-7999
Domenico De SantisRadiology Unit, Department of Surgical and Medical Sciences and Translational Medicine, Sapienza University of Rome, Sant'Andrea Hospital, 00189 Rome, Italy.ORCID 0000-0002-1197-456X
Michela PoliciRadiology Unit, Department of Surgical and Medical Sciences and Translational Medicine, Sapienza University of Rome, Sant'Andrea Hospital, 00189 Rome, Italy.ORCID 0000-0001-7331-6901
Damiano CarusoRadiology Unit, Department of Surgical and Medical Sciences and Translational Medicine, Sapienza University of Rome, Sant'Andrea Hospital, 00189 Rome, Italy.ORCID 0000-0001-9285-4764
Marco FranconeRadiology Unit, Department of Surgical and Medical Sciences and Translational Medicine, Sapienza University of Rome, Sant'Andrea Hospital, 00189 Rome, Italy.
Andrea LaghiDepartment of Biomedical Sciences, Humanitas University, IRCCS Humanitas Research Hospital, 20100 Rozzano, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aimed to evaluate the diagnostic accuracy of T2 mapping on low-field (0.31 T) MRI for detecting low-grade knee chondropathy, using arthroscopy as the reference standard. Fifty-two patients (mean age 48.1 ± 17.2 years) undergoing arthroscopy for anterior cruciate ligament or meniscal tears were prospectively enrolled, excluding those with previous surgery, infection, or high-grade chondropathy (Outerbridge III-IV). MRI was performed with a 0.31 T scanner using a 3D SHARC sequence, and T2 relaxometric maps were generated for 14 cartilage regions per knee according to the WORMS classification. Arthroscopy, performed within one month by two blinded surgeons, served as the gold standard. A total of 728 regions were analyzed. T2 mapping differentiated healthy cartilage (grade 0) from early chondropathy (grades I-II) with an optimal cut-off of 45 ms and moderate discriminative accuracy (AUC = 0.714 for Reader 1 and 0.709 for Reader 2). Agreement with arthroscopy was good (κ = 0.731), with excellent intra-reader (ICC = 0.998) and good inter-reader reproducibility (ICC = 0.753). Most degenerative changes were located at the femoral condyles (59%). Low-field T2 mapping showed good diagnostic performance and reproducibility in detecting early cartilage degeneration, supporting its potential as a cost-effective and accessible quantitative biomarker for the assessment of cartilage integrity in clinical practice.

Indexed as

chondropathykneelow-field MRIT2-mappingT2-relaxation time

Identifiers

PMID41295118
PMCPMC12653474

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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.