Evidence map›Paper›PMID 33241090›Full record

ArticleEuropean journal of radiology open2020

Novel multi-linear quantitative brain volume formula for manual radiological evaluation of brain atrophy.

R Sungura, E Mpolya, J M Spitsbergen, C Onyambu, E Sauli, J-M Vianney

Open access · goldAbstract read
In one paragraph

Article in European journal of radiology open, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.4field-weighted citation impact, top 31% of its field
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

5 citing papers in PubMed, 6 citations in OpenAlex.

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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

6 authors at 3 institutions in 3 countries.

R SunguraDepartment of Health and Biomedical Sciences, School of Life Science and Bioengineering, Nelson Mandela-African Institution of Science and Technology, Arusha, Tanzania.
E MpolyaDepartment of Health and Biomedical Sciences, School of Life Science and Bioengineering, Nelson Mandela-African Institution of Science and Technology, Arusha, Tanzania.
J M SpitsbergenDepartment of Biological Sciences, Western Michigan University, USA.
C OnyambuDepartment of Diagnostic and Radiation Medicine, School of Health Sciences, University of Nairobi, Kenya.
E SauliDepartment of Health and Biomedical Sciences, School of Life Science and Bioengineering, Nelson Mandela-African Institution of Science and Technology, Arusha, Tanzania.
J-M VianneyDepartment of Health and Biomedical Sciences, School of Life Science and Bioengineering, Nelson Mandela-African Institution of Science and Technology, Arusha, Tanzania.
Nelson Mandela African Institution of Science and Technology · TZUniversity of Nairobi · KEWestern Michigan University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThe brain atrophy commonly occurs in elderly and in some childhood conditions making the techniques for quantifying brain volume needful. Since the automated quantitative methods of brain volume assessment have limited availability in developing countries, it was the purpose of this study to design and test an alternative formula that is applicable to all healthcare levels.

methodsThe multi-linear diagonal brain fraction formula (DBF) was designed from dimensions of brain relative to skull and ventricles. To test a developed formula, a total of 347 subjects aged between 0 and 18 years who had brain CT scans performed recruited and subjected to a systematic measurement of their brains in a diagonal brain fashion.

resultsOut of 347 patients evaluated, 62 subjects (17.8 %) were found to be cases of brain atrophy. The three radiological measurements which included sulcal width (SW), ventricular width (VW) and Evans Index (EI) were concurrently performed. SW and VW showed good age correlation. Similar tests were extended to diagonal brain fraction (DBF) and skull vertical horizontal ratio (VHR) in which DBF showed significant age correlation.

conclusionsThe DBF formula shows significant ability of differentiating changes of brain volume suggesting that it can be utilized as an alternative brain fraction quantification method bearing technical simplicity in assessing gross brain volume. ADVANCES IN KNOWLEDGE: The designed formula is unique in that it captures even the possible asymmetrical volume loss of brain through diagonal lines. The proposed scores being in term of ratios give four grades of brain atrophy.

Indexed as

BIANCA, Brain Intensity Abnormality Classification AlgorithmBPF, Brain parenchymal fractionBrain atrophyBrain volumeCD, Compact discCSF, Cerebral spina fluidCT, Computerized tomographyDBF, Diagonal brain fractionDVD, Digital versatile discEI, Evans indexKNCHREC, Kibong’oto, Nelson Mandela and Cedha Research and Ethical CommitteeMRI, Magnetic resonance imagingMTA, medial temporal atrophyNeuroimagingQuantificationSW, Sulcal widthVBM, Volume based morphometryVHR, Vertical-horizontal ratioVW, Ventricular width

Identifiers

PMID33241090
PMCPMC7674282
OpenAlexW3101009768

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

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.