Evidence map›Paper›PMID 36675733›Full record

ArticleJournal of personalized medicine2022

Multiparametric Magnetic Resonance Imaging Correlates of Isocitrate Dehydrogenase Mutation in WHO high-Grade Astrocytomas.

Arpita Sahu, Nandakumar G Patnam, Jayant Sastri Goda, Sridhar Epari, Ayushi Sahay, Ronny Mathew, Amit Kumar Choudhari, Subhash M Desai, Archya Dasgupta, Abhishek Chatterjee and 4 more

Open access · goldAbstract read
In one paragraph

Article in Journal of personalized medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
0.9field-weighted citation impact, top 24% 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

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 7 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Multimodal MRI andDiagnostics (Basel, Switzerland) · 2024
    Article
  5. Article
  6. Review
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

14 authors at 1 institution in 1 country.

Arpita SahuNeuro-Oncology Disease Management Group, Tata Memorial Centre, Mumbai 400012, India.
Nandakumar G PatnamNeuro-Oncology Disease Management Group, Tata Memorial Centre, Mumbai 400012, India.ORCID 0000-0001-9606-7223
Jayant Sastri GodaNeuro-Oncology Disease Management Group, Tata Memorial Centre, Mumbai 400012, India.
Sridhar EpariNeuro-Oncology Disease Management Group, Tata Memorial Centre, Mumbai 400012, India.
Ayushi SahayNeuro-Oncology Disease Management Group, Tata Memorial Centre, Mumbai 400012, India.
Ronny MathewNeuro-Oncology Disease Management Group, Tata Memorial Centre, Mumbai 400012, India.
Amit Kumar ChoudhariNeuro-Oncology Disease Management Group, Tata Memorial Centre, Mumbai 400012, India.
Subhash M DesaiDepartment of Radiodiagnosis, Tata Memorial Centre, Mumbai 400012, India.
Archya DasguptaNeuro-Oncology Disease Management Group, Tata Memorial Centre, Mumbai 400012, India.
Abhishek ChatterjeeNeuro-Oncology Disease Management Group, Tata Memorial Centre, Mumbai 400012, India.
Pallavi PratishadHomi Bhabha National Institute, Mumbai 400012, India.
Prakash ShettyNeuro-Oncology Disease Management Group, Tata Memorial Centre, Mumbai 400012, India.
Ali Asgar MoiyadiNeuro-Oncology Disease Management Group, Tata Memorial Centre, Mumbai 400012, India.
Tejpal GuptaNeuro-Oncology Disease Management Group, Tata Memorial Centre, Mumbai 400012, India.
Homi Bhabha National Institute · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose and background: Isocitrate dehydrogenase (IDH) mutation and O-6 methyl guanine methyl transferase (MGMT) methylation are surrogate biomarkers of improved survival in gliomas. This study aims at studying the ability of semantic magnetic resonance imaging (MRI) features to predict the IDH mutation status confirmed by the gold standard molecular tests. Methods: The MRI of 148 patients were reviewed for various imaging parameters based on the Visually AcceSAble Rembrandt Images (VASARI) study. Their IDH status was determined using immunohistochemistry (IHC). Fisher’s exact or chi-square tests for univariate and logistic regression for multivariate analysis were used. Results: Parameters such as mild and patchy enhancement, minimal edema, necrosis < 25%, presence of cysts, and less rCBV (relative cerebral blood volume) correlated with IDH mutation. The median age of IDH-mutant and IDH-wild patients were 34 years (IQR: 29−43) and 52 years (IQR: 45−59), respectively. Mild to moderate enhancement was observed in 15/19 IDH-mutant patients (79%), while 99/129 IDH-wildtype (77%) had severe enhancement (p-value <0.001). The volume of edema with respect to tumor volume distinguished IDH-mutants from wild phenotypes (peritumoral edema volume < tumor volume was associated with higher IDH-mutant phenotypes; p-value < 0.025). IDH-mutant patients had a median rCBV value of 1.8 (IQR: 1.4−2.0), while for IDH-wild phenotypes, it was 2.6 (IQR: 1.9−3.5) {p-value = 0.001}. On multivariate analysis, a cut-off of 25% necrosis was able to differentiate IDH-mutant from IDH-wildtype (p-value < 0.001), and a cut-off rCBV of 2.0 could differentiate IDH-mutant from IDH-wild phenotypes (p-value < 0.007). Conclusion: Semantic imaging features could reliably predict the IDH mutation status in high-grade gliomas. Presurgical prediction of IDH mutation status could help the treating oncologist to tailor the adjuvant therapy or use novel IDH inhibitors.

Indexed as

Glioblastomasgliomasgrade-4IDH (Isocitrate dehydrogenase)-mutantsnecrosisrCBV (relative cerebral blood volume)

Identifiers

PMID36675733
PMCPMC9865247
OpenAlexW4313327688

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.