Abstract

The eTUMOUR (eT) multi-centre project gathered in vivo and ex vivo magnetic resonance (MR) data, as well as transcriptomic and clinical information from brain tumour patients, with the purpose of improving the diagnostic and prognostic evaluation of future patients. In order to carry this out, among other work, a database—the eTDB—was developed. In addition to complex permission rules and software and management quality control (QC), it was necessary to develop anonymization, processing and data visualization tools for the data uploaded. It was also necessary to develop sophisticated curation strategies that involved on one hand, dedicated fields for QC-generated meta-data and specialized queries and global permissions for senior curators and on the other, to establish a set of metrics to quantify its contents. The indispensable dataset (ID), completeness and pairedness indices were set. The database contains 1317 cases created as a result of the eT project and 304 from a previous project, INTERPRET. The number of cases fulfilling the ID was 656. Completeness and pairedness were heterogeneous, depending on the data type involved.

Highlights

  • Brain tumours afflict a larger percentage of the European population as life span increases, and in children over 1 year of age, they are the most common cause of death from disease

  • The most important question faced in the project, from the data management point of view was, ‘how many cases are there in the eTDB?’

  • As artificial intelligence experts do not necessarily have the expertise to interpret most of the information available from a specialized database, a validated dataset can simplify the task of evaluating new algorithms

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Summary

Introduction

Brain tumours afflict a larger percentage of the European population as life span increases, and in children over 1 year of age, they are the most common cause of death from disease. Their characterization using magnetic resonance imaging (MRI), such as regional extent, oedema and mass effect, is non-invasive. There are situations in which repeated biopsies may not be advisable or practical, as in brain tumours of children or in aged patients in a bad physical condition. There is a need for improving the non-invasive brain tumour diagnostic and prognostic characterization [5], to improve patient management and treatment

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