Evidence map›Paper›PMID 41582099›Full record

ArticleNeuroradiology2026

Preliminary assessment of an MRI-based grading system for leptomeningeal disease: an exploratory prognostic framework.

Ahmed Msherghi, Maria Glue-Monroe, Rami W Eldaya, Maryam Pirhoushiaran, Heba Al Qudah, Ceylan Altintas Taslicay, Sahar Alizada, Hamza A Salim, Leomar Y Ballester, Max Wintermark

Abstract read
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Article in Neuroradiology, 2026. 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

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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.

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4 · The record

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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

10 authors.

Ahmed MsherghiDepartment of Neuroradiology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA. Ahmedmsherghi@gmail.com.
Maria Glue-MonroeDepartment of Neuroradiology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Rami W EldayaDepartment of Neuroradiology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Maryam PirhoushiaranDivision of Pathology and Laboratory Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Heba Al QudahDepartment of Neuroradiology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Ceylan Altintas TaslicayDepartment of Radiology, The University of Texas Southwestern Medical Center, Dallas, TX, USA.
Sahar AlizadaDepartment of Neuroradiology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Hamza A SalimDepartment of Neuroradiology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Leomar Y BallesterDivision of Pathology and Laboratory Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Max WintermarkDepartment of Neuroradiology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA. max.wintermark@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCurrent diagnostic approaches of leptomeningeal disease (LMD) rely heavily on cerebrospinal fluid (CSF) cytology, which shows significant limitations and the requirement for invasive procedures. We aim to develop an MRI-based grading scores for LMD diagnosis and prognosis that address current diagnostic limitations and provide standardized, reproducible assessment criteria.

methodsWe conducted a retrospective analysis of 32 adult cancer patients evaluated for suspected LMD. Two experienced neuroradiologists independently assessed MRI studies using our novel grading system, which incorporates leptomeningeal enhancement/intensity patterns (grades 1-6), Evans index for hydrocephalus assessment, brain metastases characteristics, and spinal involvement. Confirmation of LMD cases was employed using dual confirmation approach combining CSF cytology and follow-up MRI.

resultsOur MRI grading system demonstrated promising inter-observer performance. Inter-rater reliability between two attending level neuroradiologists was excellent (ICC = 0.953, P-value < 0.001) using a cutoff score of 2 or higher, the system demonstrated comparable performance. Risk stratification analysis revealed clear prognostic value, with mortality rates of 8.6% for low-risk patients (Grade 1-2), 50% for medium-risk patients (Grade 3-4), and 80.0% for high-risk patients (Grade 5 +). The Kaplan-Meier survival curves demonstrate a statistically significant difference in overall survival between patients with varying grades (p-value of 0.00011). Notably, survival probability drops steeply in the Grade 5 + group early on, suggesting that higher LMD burden is associated with rapid clinical deterioration. In contrast, low risk patients appear to have a more indolent course.

conclusionsOur preliminary findings detail a promising approach in evaluating LMD patients which offers valuable prognostic information for clinical decision making. Furthermore, the high inter-rater reliability across various tumor types further encourages the potential utility of this approach, although further research on a broader population is needed before clinical implementation.

Indexed as

Magnetic Resonance ImagingMeningeal NeoplasmsAdultAgedAged, 80 and overContrast MediaFemaleHumansMaleMiddle AgedNeoplasm GradingPrognosisReproducibility of ResultsRetrospective StudiesContrast MediaCancer metastasisDiagnostic criteriaLeptomeningeal diseaseMagnetic resonance imagingNeuro-oncologyPrognostic assessment

Identifiers

PMID41582099
PMCPMC13323362

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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.