Evidence map›Paper›PMID 34350141›Full record

ArticleFrontiers in pediatrics2021

Measuring Maximum Head Circumference Within the Picture Archiving and Communication System: A Fully Automatic Approach.

Fernando Yepes-Calderon, Frisca Wihardja, Andrea Sloan, Janet Kim, Marvin D Nelson, J Gordon McComb

Abstract read
In one paragraph

Article in Frontiers in pediatrics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

6 authors.

Fernando Yepes-CalderonStrategic Business Platforms LLC, Fort Pierce, FL, United States.
Frisca WihardjaChildren's Hospital of Los Angeles, Los Angeles, CA, United States.
Andrea SloanChildren's Hospital of Los Angeles, Los Angeles, CA, United States.
Janet KimChildren's Hospital of Los Angeles, Los Angeles, CA, United States.
Marvin D NelsonChildren's Hospital of Los Angeles, Los Angeles, CA, United States.
J Gordon McCombChildren's Hospital of Los Angeles, Los Angeles, CA, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study describes an automatic technique to accurately determine the maximum head circumference (MHC) measurement from MRI studies within the Picture Archiving and Communications System, and can automatically add this measurement to the final radiology report. Participants were selected through a retrospective chart review of patients referred to the neurosurgery clinic. Forty-nine pediatric patients with ages ranging from 5 months to 11 years were included in the study. We created 14 printed ring structures to mirror the head circumference values at various ages along the x-axis of the Nellhaus chart. The 3D-printed structures were used to create MRI phantoms. Analytical obtainment of circumference values from the 3D objects and phantom images allowed for a fair estimation and correction of errors on the image-based-measuring instrument. Then, standard manual MHC measurements were performed and compared to values obtained from the patients' MRI T1 images using the tuned instrument proposed in this document. A

Indexed as

automatic diagnosisclinical imaging methodsmaximum head circumferencemedical imagingPACS

Identifiers

PMID34350141
PMCPMC8326831

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.