Evidence map›Paper›PMID 39634980›Full record

ArticleCureus2024

Correlation of Edema/Tumor Index With Histopathological Outcomes According to the WHO Classification of Cranial Tumors.

Gervith Reyes Soto, Daniel Alejandro Vega-Moreno, Carlos Catillo-Rangel, Alberto González-Aguilar, Oswaldo Alan Chávez-Martínez, Vladimir Nikolenko, Renat Nurmukhametov, Andreina Rosario Rosario, Ulises García-González, Alfonso Arellano-Mata and 2 more

Abstract read
In one paragraph

Article in Cureus, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

12 authors.

Gervith Reyes SotoNeurosurgical Oncology, Mexico National Cancer Institute, Tlalpan, MEX.
Daniel Alejandro Vega-MorenoNeurosciences Unit, National Cancer Institute, Mexico City, MEX.
Carlos Catillo-RangelNeurosurgery, Service of the 1° de Octubre Hospital, Instituto de Seguridad y Servicios Sociales de los Trabajadores del Estado (ISSSTE), Mexico City, MEX.
Alberto González-AguilarNeurosciences Unit, National Cancer Institute, Mexico City, MEX.
Oswaldo Alan Chávez-MartínezNeurology and Psychiatry, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City, MEX.
Vladimir NikolenkoHuman Anatomy and Histology, I.M. Sechenov First Moscow State Medical University (Sechenov University), Moscow, RUS.
Renat NurmukhametovNeurosurgery, Russian People's Friendship University, Moscow, RUS.
Andreina Rosario RosarioMedicine, Autonomous University of Santo Domingo (UASD), Santo Domingo, DOM.
Ulises García-GonzálezNeurosurgery, Hospital Central Sur de Alta Especialidad "PEMEX", Mexico City, MEX.
Alfonso Arellano-MataNeurosurgery, Hospital Central Sur de Alta Especialidad "PEMEX", Mexico City, MEX.
Mario Antonio Furcal AybarOncological Surgery, Rosa Emilia Sánchez Pérez de Tavares National Cancer Institute (INCART), Santo Domingo, DOM.
Manuel de Jesus Encarnacion RamirezNeurosurgery, Russian People's Friendship University, Moscow, RUS.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMetastatic brain tumors are a prevalent challenge in neurosurgery, with vasogenic edema being a significant consequence of these lesions. Despite the critical role of peritumoral edema in prognosis and patient outcomes, few studies have quantified its diagnostic and prognostic implications. This study aims to evaluate the correlation between the edema/tumor index (ETI) and histopathological outcomes according to the 2021 WHO classification of cranial tumors. METHODOLOGY: We conducted a retrospective analysis of Digital Imaging and Communications in Medicine (DICOM)-format magnetic resonance imaging (MRI) data from May 2023 to May 2024, applying manual 3D volumetric segmentation using Image Tool Kit-SNAP (ITK-SNAP, version 3.8.0, University of Pennsylvania) software. The ETI was calculated by dividing the volume of peritumoral edema by the tumor volume. The study included 60 patients, and statistical analyses were performed to assess the correlation between ETI and tumor histopathology, including Receiver Operating Characteristic (ROC) curve analysis for cutoff points.

resultsA total of 60 patients were included in the study, with 27 males (45%) and 33 females (55%). The average tumor volume measured by 3D segmentation was 46.9 cubic centimeters (cc) (standard deviation [SD] ± 25.6), and the average peritumoral edema volume was 79 cc (SD ± 37.5) for malignant tumors. The ETI was calculated for each case. Malignant tumors (WHO grades 3 and 4) had a mean ETI of 1.6 (SD ± 1.2), while non-malignant tumors (WHO grades 1 and 2) had a mean ETI of 1.2 (SD ± 1.1), but this difference was not statistically significant (

conclusionsThis study found no significant correlation between the ETI and the histopathological grade of brain tumors according to the 2021 WHO classification. While malignant tumors were associated with larger volumes of both tumor and peritumoral edema, the ETI did not prove to be a reliable predictor of tumor malignancy. Therefore, the ETI should not be used as a standalone metric for determining tumor aggressiveness or guiding clinical decision-making. Further studies with larger cohorts are required to better understand the potential prognostic value of the ETI in brain tumors.

Indexed as

edemahistopathologicalneurosurgerytumorwho

Identifiers

PMID39634980
PMCPMC11614750

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