Brain Tumor Intraoperative Ultrasound Database

Predicting the survival of patients diagnosed with glioblastoma (GBM) is essential to guide surgical strategy and subsequent adjuvant therapies. Intraoperative ultrasound (ioUS) is a low-cost, versatile technique available in most neurosurgical departments. The images from ioUS contain biological information possibly correlated to the tumor's behavior, aggressiveness, and oncological outcomes. Today's advanced image processing techniques require a large amount of data. Therefore, the investigators propose creating an international database aimed to share intraoperative ultrasound images of brain tumors. The acquired data must be processed to extract radiomic or texture characteristics from ioUS images. The rationale is that ultrasound images contain much more information than the human eye can process. Our main objective is to find a relationship between these imaging characteristics and overall survival (OS) in GBM. The predictive models elaborated from this imaging technique will complement those already based on other sources such as magnetic resonance imaging (MRI), genetic and molecular analysis, etc. Predicting survival using an intraoperative imaging technique affordable for most hospitals would greatly benefit the patients' management.

Sex

All

Minimum age

15 Years

Inclusion Criteria:

* Adult patients operated between January 2018 and January 2020 with a pathological diagnosis of WHO grade IV astrocytoma (Glioblastoma).
* Intraoperative ultrasound study that includes B-mode images

Exclusion Criteria:

* Other histopathological diagnoses. Even though the international database will be established in such a way that other tumor types can be included prospectively.
* Artifacts in ultrasound images that make their analysis impossible
* Stereotactic biopsies.

• BACKGROUNDCepeda S, Sarabia R. Letter to the Editor. Intraoperative ultrasound elastography applied in meningioma surgery. Neurosurg Focus. 2021 May;50(5):E23. doi: 10.3171/2021.1.FOCUS2115. No abstract available. PMID 33932930
• BACKGROUNDCepeda S, Garcia-Garcia S, Velasco-Casares M, Fernandez-Perez G, Zamora T, Arrese I, Sarabia R. Is There a Relationship between the Elasticity of Brain Tumors, Changes in Diffusion Tensor Imaging, and Histological Findings? A Pilot Study Using Intraoperative Ultrasound Elastography. Brain Sci. 2021 Feb 21;11(2):271. doi: 10.3390/brainsci11020271. PMID 33669989
• BACKGROUNDCepeda S, Garcia-Garcia S, Arrese I, Velasco-Casares M, Sarabia R. Acute changes in diffusion tensor-derived metrics and its correlation with the motor outcome in gliomas adjacent to the corticospinal tract. Surg Neurol Int. 2021 Feb 10;12:51. doi: 10.25259/SNI_862_2020. eCollection 2021. PMID 33654554
• BACKGROUNDCepeda S, Garcia-Garcia S, Arrese I, Fernandez-Perez G, Velasco-Casares M, Fajardo-Puentes M, Zamora T, Sarabia R. Comparison of Intraoperative Ultrasound B-Mode and Strain Elastography for the Differentiation of Glioblastomas From Solitary Brain Metastases. An Automated Deep Learning Approach for Image Analysis. Front Oncol. 2021 Feb 2;10:590756. doi: 10.3389/fonc.2020.590756. eCollection 2020. PMID 33604286
• BACKGROUNDCepeda S, Garcia-Garcia S, Arrese I, Velasco-Casares M, Sarabia R. Relationship between the overall survival in glioblastomas and the radiomic features of intraoperative ultrasound: a feasibility study. J Ultrasound. 2022 Mar;25(1):121-128. doi: 10.1007/s40477-021-00569-9. Epub 2021 Feb 16. PMID 33594589
• BACKGROUNDCepeda S, Arrese I, Garcia-Garcia S, Velasco-Casares M, Escudero-Caro T, Zamora T, Sarabia R. Meningioma Consistency Can Be Defined by Combining the Radiomic Features of Magnetic Resonance Imaging and Ultrasound Elastography. A Pilot Study Using Machine Learning Classifiers. World Neurosurg. 2021 Feb;146:e1147-e1159. doi: 10.1016/j.wneu.2020.11.113. Epub 2020 Nov 28.