Radiomics integration into a picture archiving and communication system.

Conquest DICOM PACS Radiomics

Journal

Physics and imaging in radiation oncology
ISSN: 2405-6316
Titre abrégé: Phys Imaging Radiat Oncol
Pays: Netherlands
ID NLM: 101704276

Informations de publication

Date de publication:
Oct 2021
Historique:
received: 04 06 2021
revised: 30 09 2021
accepted: 30 09 2021
entrez: 20 10 2021
pubmed: 21 10 2021
medline: 21 10 2021
Statut: epublish

Résumé

Radiomics is referred to as quantitative imaging of biomarkers used for clinical outcome prognosis or tumor characterization. In order to bridge radiomics and its clinical application, we aimed to build an integrated solution of radiomics extraction with an open-source Picture Archiving and Communication System (PACS). The integrated SQLite4Radiomics software was tested in three different imaging modalities and its performance was benchmarked in lung cancer open datasets RIDER and MMD with median extraction time of 10.7 (percentiles 25-75: 8.9-18.7) seconds per ROI in three different configurations.

Identifiants

pubmed: 34667885
doi: 10.1016/j.phro.2021.09.007
pii: S2405-6316(21)00057-9
pmc: PMC8507196
doi:

Types de publication

Journal Article

Langues

eng

Pagination

30-33

Informations de copyright

© 2021 The Author(s).

Déclaration de conflit d'intérêts

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

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Auteurs

Ivan Zhovannik (I)

Department of Radiation Oncology, Radboud Institute for Health Sciences, Radboud University Medical Center, The Netherlands.
Department of Radiation Oncology (Maastro), School for Oncology and Developmental Biology (GROW), Maastricht University Medical Center, The Netherlands.

Suraj Pai (S)

Department of Radiation Oncology (Maastro), School for Oncology and Developmental Biology (GROW), Maastricht University Medical Center, The Netherlands.

Talia A da Silva Santos (TA)

Department of Radiation Oncology, Radboud Institute for Health Sciences, Radboud University Medical Center, The Netherlands.
Fontys University of Applied Sciences, The Netherlands.

Lars L G van Driel (LLG)

Fontys University of Applied Sciences, The Netherlands.

Andre Dekker (A)

Department of Radiation Oncology (Maastro), School for Oncology and Developmental Biology (GROW), Maastricht University Medical Center, The Netherlands.

Rianne Fijten (R)

Department of Radiation Oncology (Maastro), School for Oncology and Developmental Biology (GROW), Maastricht University Medical Center, The Netherlands.

Alberto Traverso (A)

Department of Radiation Oncology (Maastro), School for Oncology and Developmental Biology (GROW), Maastricht University Medical Center, The Netherlands.

Johan Bussink (J)

Department of Radiation Oncology, Radboud Institute for Health Sciences, Radboud University Medical Center, The Netherlands.

René Monshouwer (R)

Department of Radiation Oncology, Radboud Institute for Health Sciences, Radboud University Medical Center, The Netherlands.

Classifications MeSH