Evidence map›Paper›PMID 30744586›Full record

ArticleBMC medical imaging2019

CoreSlicer: a web toolkit for analytic morphomics.

Louis Mullie, Jonathan Afilalo

Registry-linked trialAbstract read
In one paragraph

Article in BMC medical imaging, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05367284 (Use of Perioperative Testosterone Replacement Therapy), which is not on this map. Cited by 44 papers.

0numbers the graph read from it
0cells of the map it votes in
44citing 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.

NCT05367284 unknown statusnot on this mapstarted 2022, after this paper: background citation

Use of Perioperative Testosterone Replacement Therapy (TRT) in Sarcopenic Male Colorectal Cancer Patients - A Single Arm Open Label Feasibility Study

TypeobservationalSponsorLondon North West Healthcare NHS TrustRan2022 to 2023Enrolled30ConditionsColorectal Cancer, Sarcopenia, Hypogonadism, Male, Perioperative CareArmsTestosterone
3 · Its place in the literature

Who cites it

44 citing papers in PubMed.

  1. Body composition measurements and clinical outcomes in patients with resectable pancreatic adenocarcinoma - analysis from SWOG S1505.Journal of gastrointestinal surgery : official journal of the Society for Surgery of the Alimentary Tract · 2024
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  12. Observational
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  17. Sarcopenia and aortic valve disease.Heart (British Cardiac Society) · 2024
    Review
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  19. Article
  20. 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

2 authors.

Louis MullieDepartment of Medicine, McGill University, 3755 Cote Ste Catherine Rd, E-222, Montreal, QC, H3T 1E2, Canada.
Jonathan AfilaloDepartment of Medicine, McGill University, 3755 Cote Ste Catherine Rd, E-222, Montreal, QC, H3T 1E2, Canada. jonathan.afilalo@mcgill.ca.

Funding

CIHR
6 · The paper itself

Abstract

backgroundAnalytic morphomics, or more simply, "morphomics," refers to the measurement of specific biomarkers of body composition from medical imaging, most commonly computed tomography (CT) images. An emerging body of literature supports the use of morphomic markers measured on single-slice CT images for risk prediction in a range of clinical populations. However, uptake by healthcare providers been limited due to the lack of clinician-friendly software to facilitate measurements. The objectives of this study were to describe the interface and functionality of CoreSlicer- a free and open-source web-based interface aiming to facilitate measurement of analytic morphomics by clinicians - and to validate muscle and fat measurements performed in CoreSlicer against reference software.

resultsMeasurements of muscle and fat obtained in CoreSlicer show high agreement with established reference software. CoreSlicer features a full set of DICOM viewing tools and extensible plugin interface to facilitate rapid prototyping and validation of new morphomic markers by researchers. We present published studies illustrating the use of CoreSlicer by clinicians with no prior knowledge of medical image segmentation techniques and no formal training in radiology, where CoreSlicer was successfully used to predict operative risk in three distinct populations of cardiovascular patients.

conclusionsCoreSlicer enables extraction of morphomic markers from CT images by non-technically skilled clinicians. Measurements were reproducible and accurate in relation to reference software.

Indexed as

Body CompositionAdipose TissueAgedAged, 80 and overFemaleHumansMaleMuscle, SkeletalRisk AssessmentSoftwareTomography, X-Ray ComputedUser-Computer InterfaceAnalytic morphomicsBody composition analysisComputed tomographyMedical image segmentationMorphometric analysisObesityPlanimetric measurementsSarcopenia

Identifiers

PMID30744586
PMCPMC6371488

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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.