Evidence map›Paper›PMID 41145519›Full record

ArticleScientific data2025

The Duke University Cervical Spine MRI Segmentation Dataset (CSpineSeg).

Longfei Zhou, Walter Wiggins, Jikai Zhang, Roy Colglazier, Jay Willhite, Austin Dixon, Michael Malinzak, Hanxue Gu, Maciej A Mazurowski, Evan Calabrese

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PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific data, 2025. 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
–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

3 citing papers in PubMed.

  1. Article
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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

10 authors.

Longfei Zhou *Gannon University, Erie, USA.
Walter Wiggins *Duke University Medical Center, Durham, USA.
Jikai Zhang *Duke University, Durham, USA. jikai.zhang@duke.edu.ORCID 0000-0003-2247-0639
Roy ColglazierDuke University School of Medicine, Durham, USA.
Jay WillhiteDuke University School of Medicine, Durham, USA.
Austin DixonDuke University School of Medicine, Durham, USA.
Michael MalinzakDuke University School of Medicine, Durham, USA.
Hanxue GuDuke University, Durham, USA.
Maciej A MazurowskiDuke University Medical Center, Durham, USA.
Evan CalabreseDuke University School of Medicine, Durham, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This work describes a publicly available dataset, the Duke University Cervical Spine MRI Segmentation Dataset (CSpineSeg), consisting of 1,255 cervical spine magnetic resonance imaging (MRI) examinations from 1,232 patients collected from the Duke University Health System. CSpineSeg also includes expert manual semantic segmentations of vertebral bodies and intervertebral discs for 481 patients. This dataset aims to provide a resource for training and evaluation of deep learning segmentation models and facilitate cervical spine research. Along with the dataset, we present a deep learning segmentation model which could be used as a benchmark in cervical spine segmentation tasks. Our segmentation model achieves a Dice Coefficient of 0.916, demonstrating the feasibility of utilizing CSpineSeg to train segmentation models.

Indexed as

Cervical VertebraeMagnetic Resonance ImagingDeep LearningHumansImage Processing, Computer-Assisted

Identifiers

PMID41145519
PMCPMC12559328

What OpenQuestion holds

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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.