Evidence map›Paper›PMID 30627595›Full record

ArticleEuropean journal of radiology open2019

Can apparent diffusion coefficient values help distinguish between different types of pediatric brain tumors?

Abdulaziz Mohammad Al-Sharydah, Hussain Khalid Al-Arfaj, Husam Saleh Al-Muhaish, Sari Saleh Al-Suhaibani, Mohammad Saad Al-Aftan, Dana Khaled Almedallah, Abdulrhman Hamad Al-Abdulwahhab, Abdullah Abdulaziz Al-Hedaithy, Saeed Ahmad Al-Jubran

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Article in European journal of radiology open, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Multi-center diffusion-weighted MRI validation for 0.35T MR-Linac.Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB) · 2026
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  5. Paediatric supratentorial tumours do not cause microstructural alterations in contralateral white matter: a preliminary study.Child's nervous system : ChNS : official journal of the International Society for Pediatric Neurosurgery · 2024
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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

9 authors.

Abdulaziz Mohammad Al-SharydahRadiology Department, Imam Abdulrahman Bin Faisal University, King Fahd Hospital of the University, Al-Khobar City, Eastern Province, Saudi Arabia.
Hussain Khalid Al-ArfajMedical Imaging Department, King Fahad Specialist Hospital, Dammam City, Eastern Province, Saudi Arabia.
Husam Saleh Al-MuhaishMedical Imaging Department, King Fahad Specialist Hospital, Dammam City, Eastern Province, Saudi Arabia.
Sari Saleh Al-SuhaibaniRadiology Department, Imam Abdulrahman Bin Faisal University, King Fahd Hospital of the University, Al-Khobar City, Eastern Province, Saudi Arabia.
Mohammad Saad Al-AftanRadiology Department, Imam Abdulrahman Bin Faisal University, King Fahd Hospital of the University, Al-Khobar City, Eastern Province, Saudi Arabia.
Dana Khaled AlmedallahCollege of Medicine, Imam Abdulrahman Bin Faisal University, Dammam City, Eastern Province, Saudi Arabia.
Abdulrhman Hamad Al-AbdulwahhabRadiology Department, Imam Abdulrahman Bin Faisal University, King Fahd Hospital of the University, Al-Khobar City, Eastern Province, Saudi Arabia.
Abdullah Abdulaziz Al-HedaithyCollege of Medicine, Imam Abdulrahman Bin Faisal University, Dammam City, Eastern Province, Saudi Arabia.
Saeed Ahmad Al-JubranRadiology Department, Imam Abdulrahman Bin Faisal University, King Fahd Hospital of the University, Al-Khobar City, Eastern Province, Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

RATIONALE AND

objectivesClassifying brain tumors is challenging, but recently developed imaging techniques offer the opportunity for neuroradiologists and neurosurgeons to diagnose, differentiate, and manage different types of brain tumors. Such advances will be reflected in improvements in patients' life expectancy and quality of life. Among the newest techniques, the apparent diffusion coefficient (ADC), which tracks the rate of microscopic water diffusion within tissues, has become a focus of investigation. Recently, ADC has been used as a preoperative diffusion-weighted magnetic resonance imaging (MRI) parameter that facilitates tumor diagnosis and grading. Here, we aimed to determine the ADC cutoff values for pediatric brain tumors (PBTs) categorized according to the World Health Organization (WHO) classification of brain tumors. MATERIALS AND

methodsWe retrospectively reviewed 80 cases, and assessed them based on their MRI-derived ADC. These results were compared with those of WHO classification-based histopathology.

resultsWhole-lesion ADC values ranged 0.225-1.240 × 10

conclusionThe application of an ADC diagnostic criterion would reduce the need for spectroscopic analysis. However, further research is needed to implement ADC in the differential diagnosis of PBT.

Indexed as

Apparent diffusion coefficientDifferential diagnosisMagnetic resonance imagingPediatric brain tumor

Identifiers

PMID30627595
PMCPMC6321863

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