Research Data Leeds Repository

Citation

Sarrami-Foroushani, Ali and Lassila, Toni and MacRaild, Michael and Asquith, Joshua and Roes, Kit C. B. and Byrne, James V. and Frangi, Alejandro F. (2021) In-silico trial of intracranial flow diverters replicates and expands insights from conventional clinical trials. University of Leeds. [Dataset] https://doi.org/10.5518/991

Dataset description

Source data for Tables 1-6 and raw simulation outputs

Subjects:	H000 - Engineering > H100 - General engineering > H160 - Bioengineering, biomedical engineering & clinical engineering
Divisions:	Faculty of Engineering and Physical Sciences > School of Computing
Related resources:	Location Type https://doi.org/10.1038/s41467-021-23998-w Publication https://eprints.whiterose.ac.uk/175235/ Publication
License:	Creative Commons Attribution 4.0 International (CC BY 4.0)
Date deposited:	06 Jul 2021 07:39
URI:	https://archive.researchdata.leeds.ac.uk/id/eprint/866
Additional details Additional details Creators or authors: Creators ORCID Other ID Email Primary affiliation Primary affiliation ID Primary affiliation ID type Secondary affiliation Secondary affiliation ID Secondary affiliation ID type Sarrami-Foroushani, Ali https://orcid.org/0000-0001-8944-449X University of Leeds https://ror.org/024mrxd33 ror Lassila, Toni https://orcid.org/0000-0001-8947-1447 University of Leeds https://ror.org/024mrxd33 ror MacRaild, Michael https://orcid.org/0009-0001-3307-743X University of Leeds https://ror.org/024mrxd33 ror Asquith, Joshua University of Leeds https://ror.org/024mrxd33 ror Roes, Kit C. B. https://orcid.org/0000-0002-6775-1963 Radboud University Medical Centre https://ror.org/05wg1m734 ror Byrne, James V. https://orcid.org/0000-0002-1268-3000 University of Oxford https://ror.org/052gg0110 ror Frangi, Alejandro F. https://orcid.org/0000-0002-2675-528X University of Leeds https://ror.org/024mrxd33 ror Type of data: Dataset Research funders: Royal Academy of Engineering RAEng Chair in Emerging Technologies, European Commission to @neurIST, European Commission H2020 InSilc, EPSRC, ANSYS Academic Partnership agreement Grant numbers: CiET1919/19, FP6-2004-IST-4-027703, H2020-SC1-2017-CNECT-2-777119, EP/L01615X/1, #1122349 Publication date: 2021 Resource language: English Metadata language: English Research project title: Integrated Biomedical Informatics for the Management of Cerebral Aneurysms, “In-silico trials for drug-eluting BVS design, development and evaluation Publisher: University of Leeds Contact email: a.frangi@leeds.ac.uk Last Modified: 09 Jul 2024 10:17

Files

Documentation

Description of data set [1kB] Description of data set [1kB] Description of data set [1kB] Security: Anyone File name: README.txt Content type: Documentation Mime-Type: text/plain License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 1kB

Data

Table 1 source data [10kB] Table 1 source data [10kB] Table 1 source data [10kB] Security: Anyone File name: Table1.xlsx Content type: Data Description: Population characteristics Mime-Type: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 10kB

Table 2 source data [9kB] Table 2 source data [9kB] Table 2 source data [9kB] Security: Anyone File name: Table2.xlsx Content type: Data Description: Flow diversion efficacy Mime-Type: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 9kB

Table 3 source data [10kB] Table 3 source data [10kB] Table 3 source data [10kB] Security: Anyone File name: Table3.xlsx Content type: Data Description: Demographics and morphological characteristics Mime-Type: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 10kB

Table 4 source data [11kB] Table 4 source data [11kB] Table 4 source data [11kB] Security: Anyone File name: Table4.xlsx Content type: Data Description: Effects of the presence of a side branch, aneurysm size, aspect ratio, and hypertension Mime-Type: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 11kB

Table 5 source data [11kB] Table 5 source data [11kB] Table 5 source data [11kB] Security: Anyone File name: Table5.xlsx Content type: Data Description: Small/large and high/low aspect ratio aneurysms Mime-Type: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 11kB

Table 6 source data [10kB] Table 6 source data [10kB] Table 6 source data [10kB] Security: Anyone File name: Table6.xlsx Content type: Data Description: Risk ratios Mime-Type: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 10kB

Outputs for the virtual in-silico trial FD-PASS [78kB] Outputs for the virtual in-silico trial FD-PASS [78kB] Outputs for the virtual in-silico trial FD-PASS [78kB] Security: Anyone File name: FD-PASS_data_NatComm.xlsx Content type: Data Description: Raw simulation output data Mime-Type: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 78kB