Evidence map›Paper›PMID 39712672›Full record

ArticleCureus2024

Concordance of Extent of Resection Between Intraoperative Ultrasound and Postoperative MRI in Brain and Spine Tumor Resection.

Enrique Caro-Osorio, Luis Alejandro Perez-Ruano, Jose Antonio Figueroa Sanchez

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 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. 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

3 authors.

Enrique Caro-OsorioNeurosurgery, Tecnologico de Monterrey, Monterrey, MEX.
Luis Alejandro Perez-RuanoNeurosurgery, Tecnologico de Monterrey, Monterrey, MEX.
Jose Antonio Figueroa SanchezNeurosurgery, Tecnologico de Monterrey, Monterrey, MEX.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective Evaluate the utility of intraoperative ultrasound (IOUS) in brain and spinal tumor resections and the concordance of the extent of resection between IOUS and postoperative magnetic resonance imaging (MRI). Methods A retrospective analysis of prospectively collected data was performed. Thirty-nine lesions (36 patients) in the brain and spine were operated on for resection using IOUS between May 2020 and December 2022. All patients who underwent brain or spinal tumor resection were included, and who underwent IOUS during tumor resection and postoperative MRI was done within 48 hours of surgery. The Cohen's kappa coefficient was performed to the concordance of resection by IOUS and postoperative MRI. Results Forty-one patients underwent surgery, of which 36 met the inclusion criteria and five were excluded due to incomplete clinical records. Of the 36 patients included, two presented lesions in different locations, one with frontal and parietal metastases and the other with extradural and intradural spinal lesions, and one patient had a recurrence of glioblastoma, for which 39 procedures were included. Of the 36 patients, 36% were women, and the average age was 51.4 years with an age range of one year and two months to 94 years. The concordance of the degree of resection by ultrasound and the degree of resection by postoperative magnetic resonance is high. Conclusions The higher degree of concordance between IOUS and postoperative MRI would suggest that IOUS is a reliable tool for assessing the extent of tumor resection during surgery and provides real-time information to make decisions to adjust surgery plans based on the benefit/risk ratio.

Indexed as

brain tumorintraoperative ultrasoundmagnetic resonance imageneurosurgeryoncologyspine tumortumor resection

Identifiers

PMID39712672
PMCPMC11661696

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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.