Evidence map›Paper›PMID 35071073›Full record

ArticleAsian journal of neurosurgery

Can Apparent Diffusion Coefficient Predict the Grade, Genotype, or Proliferation Index of Oligodendrogliomas.

Laghari Altaf Ali, Khalid Muhammad Usman, Mubarak Fatima, Alvi Amna, Ali Tazeen Saeed, Shaikh Namra Qadeer, Shamim Muhammad Shahzad, Enam Syed Ather

Open access · hybridAbstract read
In one paragraph

Article in Asian journal of neurosurgery. 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
0.3field-weighted citation impact, top 40% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  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

8 authors at 2 institutions in 1 country.

Laghari Altaf AliDepartment of Surgery, Aga Khan University Hospital, Stadium Road, Karachi, Pakistan.
Khalid Muhammad UsmanDepartment of Surgery, Aga Khan University Hospital, Stadium Road, Karachi, Pakistan.
Mubarak FatimaDepartment of Radiology, Aga Khan University Hospital, Stadium Road, Karachi, Pakistan.
Alvi AmnaDepartment of Radiology, Aga Khan University Hospital, Stadium Road, Karachi, Pakistan.
Ali Tazeen SaeedDepartment of School of Nursing and Midwifery, The Aga Khan University, Karachi, Pakistan.
Shaikh Namra QadeerDepartment of Surgery, Aga Khan University Hospital, Stadium Road, Karachi, Pakistan.
Shamim Muhammad ShahzadDepartment of Surgery, Aga Khan University Hospital, Stadium Road, Karachi, Pakistan.
Enam Syed AtherDepartment of Surgery, Aga Khan University Hospital, Stadium Road, Karachi, Pakistan.
Aga Khan University Hospital · PKAga Khan University · PK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGenetic subsets of oligodendrogliomas (OD) have distinct chromosomal and biophysical profiles. Pretherapeutic tumor grade and genotype analysis is a challenging aspect of management, with 1p/19q codeletion status and grade of oligodendroglioma among the most important considerations for clinical decision making. METHODOLOGY: Seventy-three patients with histopathological diagnosis of oligodendroglioma were selected, and their preoperative 1.5T magnetic resonance imaging (MRI) scans were reviewed through parameters including diffusion weighted image, susceptibility-weighted imaging, and apparent diffusion coefficient (ADC). These images were correlated with patients' histopathological and chromosomal testing. Tumor border irregularity, homogeneity, contrast enhancement, and other MRI characteristics were also studied. For analysis, descriptive statistics were generated, and normality was evaluated for ADC value, age, and Ki-67 tumor proliferation index.

objectivesThe study aimed to determine the correlation of ADC with Ki-67, grade, and 1p/19q co-deletion in oligodendroglioma at a tertiary care hospital within a low-middle income country.

resultsKi-67 tumor proliferation index was high in 33 tumors. It was found to be statistically significant (

conclusionMean ADC is a viable tool to predict Ki-67 and assist prognostic clinical decisions. However, mean ADC alone cannot predict 1p/19q codeletion and tumor grades in OD. Further supplementation with other radiological modalities may provide greater yield and positive results.

Indexed as

Apparent diffusion coefficientglioblastomamagnetic resonance imaging

Identifiers

PMID35071073
PMCPMC8751508
OpenAlexW4206642615

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
Read underepoch 390

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.