Evidence map›Paper›PMID 41657404›Full record

ArticleData in brief2026

BraTioUS: A multicenter dataset of baseline intraoperative brain tumor ultrasound images.

Olga Esteban-Sinovas, Rosario Sarabia, Ignacio Arrese, Vikas Singh, Prakash Shett, Aliasgar Moiyadi, Ilyess Zemmoura, Massimiliano Del Bene, Arianna Barbotti, Francesco DiMeco and 4 more

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Article in Data in brief, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

14 authors.

Olga Esteban-SinovasDepartment of Neurosurgery, Río Hortega University Hospital, Valladolid 47014, Spain.
Rosario SarabiaDepartment of Neurosurgery, Río Hortega University Hospital, Valladolid 47014, Spain.
Ignacio ArreseDepartment of Neurosurgery, Río Hortega University Hospital, Valladolid 47014, Spain.
Vikas SinghSpecialized Group in Biomedical Imaging and Computational Analysis (GEIBAC), Instituto de Investigacion Biosanitaria de Valladolid (IBioVALL), Valladolid 47014, Spain.
Prakash ShettDepartment of Neurosurgery, Tata Memorial Centre, Homi Bhabha National Institute, Mumbai, Maharashtra 400012, India.
Aliasgar MoiyadiDepartment of Neurosurgery, Tata Memorial Centre, Homi Bhabha National Institute, Mumbai, Maharashtra 400012, India.
Ilyess ZemmouraUMR 1253, iBrain, Université de Tours, Inserm, Tours 37000, France.
Massimiliano Del BeneDepartment of Neurosurgery, Fondazione IRCCS Istituto Neurologico Carlo Besta, Via Celoria 11, Milan 20133, Italy.
Arianna BarbottiDepartment of Neurosurgery, Fondazione IRCCS Istituto Neurologico Carlo Besta, Via Celoria 11, Milan 20133, Italy.
Francesco DiMecoDepartment of Neurosurgery, Fondazione IRCCS Istituto Neurologico Carlo Besta, Via Celoria 11, Milan 20133, Italy.
Timothy Richard WestDepartment of Neurosurgery, Massachusetts General Hospital, Mass General Brigham, Harvard Medical School, Boston, MA 02114, USA.
Brian Vala NahedDepartment of Neurosurgery, Massachusetts General Hospital, Mass General Brigham, Harvard Medical School, Boston, MA 02114, USA.
Giuseppe Roberto GiammalvaNeurosurgery Department, ARNAS Civico Di Cristina Benfratelli Hospital, Palermo 90127, Italy.
Santiago CepedaDepartment of Neurosurgery, Río Hortega University Hospital, Valladolid 47014, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The BraTioUS (Brain Tumor Intraoperative Ultrasound) dataset [1] is a large-scale, multicenter, and publicly available collection of intraoperative ultrasound (ioUS) images acquired during glioma surgeries. Created through an international collaboration among six hospitals across five countries, BraTioUS comprises 1669 B-mode 2D ioUS images from 142 glioma patients collected between 2018 and 2023 using various ultrasound systems and acquisition protocols. It also includes masks supervised by experts of tumor segmentation from every ioUS image. BraTioUS addresses several limitations found in existing public datasets, such as lack of diversity in acquisition hardware, imaging protocols, and glioma types. The primary objective of this dataset is to be publicly available and accessible for the training and validation of machine learning models aimed at improving the interpretation and use of ioUS. The dataset's scale, quality, and heterogeneity make it a valuable resource for training and validating AI tools aimed at improving intraoperative decision-making and patient outcomes in glioma surgery.

Indexed as

Brain tumorDeep-learningGliomaSegmentationUltrasonography

Identifiers

PMID41657404
PMCPMC12874095

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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.