Evidence map›Paper›PMID 40936562›Full record

ArticleArthroscopy techniques2025

Hip Joint Segmentation From Magnetic Resonance Imaging to Generate 3-Dimensional Models to Assess Femoroacetabular Impingement Syndrome.

Jesus E Cervantes, Steven P Mell, Shane J Nho, Catherine Yuh

Abstract read
In one paragraph

Article in Arthroscopy techniques, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. 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.

Jesus E CervantesSection of Young Adult Hip Surgery, Division of Sports Medicine, Department of Orthopedic Surgery, Rush Medical College of Rush University, Rush University Medical Center, Chicago, Illinois, U.S.A.
Steven P MellSection of Young Adult Hip Surgery, Division of Sports Medicine, Department of Orthopedic Surgery, Rush Medical College of Rush University, Rush University Medical Center, Chicago, Illinois, U.S.A.
Shane J NhoSection of Young Adult Hip Surgery, Division of Sports Medicine, Department of Orthopedic Surgery, Rush Medical College of Rush University, Rush University Medical Center, Chicago, Illinois, U.S.A.
Catherine YuhSection of Young Adult Hip Surgery, Division of Sports Medicine, Department of Orthopedic Surgery, Rush Medical College of Rush University, Rush University Medical Center, Chicago, Illinois, U.S.A.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Accurate assessment of anatomic structures is essential for surgical planning. This is especially relevant for hip arthroscopy for femoroacetabular impingement syndrome. Beyond standard radiographs, 3-dimensional (3D) imaging often is required for preoperative assessment. Although computed tomography provides quick results with exceptional visualization of bone, magnetic resonance imaging (MRI) eliminates the exposure of ionizing radiation and provides superior soft-tissue visualization. This study demonstrates a reproducible process to generate high-quality 3D hip models from MRI using 3D Slicer to advance femoroacetabular impingement syndrome research and clinical decision-making. A 3-T MRI of the hip without contrast was imported into 3D Slicer, specifically focusing on T1 Vibe sequences. The Digital Imaging and Communications in Medicine file was deidentified. Segmentation began by isolating the femur and pelvis along the axial, coronal, and sagittal planes. A preliminary "coarse" segmentation was generated using the "Grow from Seeds" function, which is an automated region growth based on manual inputs. For precise segmentation, boundaries of the segmentation were refined. Once segmentation was complete, an initial 3D model was generated, which was then smoothed.

Identifiers

PMID40936562
PMCPMC12420598

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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.