How does DICOM support big data management? Investigating its use in medical imaging community

Abstract The diagnostic imaging field is experiencing considerable growth, followed by increasing production of massive amounts of data. The lack of standardization and privacy concerns are considered the main barriers to big data capitalization. This work aims to verify whether the advanced feature...

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Autores principales:	Marco Aiello, Giuseppina Esposito, Giulio Pagliari, Pasquale Borrelli, Valentina Brancato, Marco Salvatore
Formato:	article
Lenguaje:	EN
Publicado:	SpringerOpen 2021
Materias:	DICOM Big data Data curation COVID-19 Data analytics Medical physics. Medical radiology. Nuclear medicine R895-920
Acceso en línea:	https://doaj.org/article/0f4747666c59415abe6f34bb3ecead91
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spelling	oai:doaj.org-article:0f4747666c59415abe6f34bb3ecead912021-11-14T12:10:53ZHow does DICOM support big data management? Investigating its use in medical imaging community10.1186/s13244-021-01081-81869-4101https://doaj.org/article/0f4747666c59415abe6f34bb3ecead912021-11-01T00:00:00Zhttps://doi.org/10.1186/s13244-021-01081-8https://doaj.org/toc/1869-4101Abstract The diagnostic imaging field is experiencing considerable growth, followed by increasing production of massive amounts of data. The lack of standardization and privacy concerns are considered the main barriers to big data capitalization. This work aims to verify whether the advanced features of the DICOM standard, beyond imaging data storage, are effectively used in research practice. This issue will be analyzed by investigating the publicly shared medical imaging databases and assessing how much the most common medical imaging software tools support DICOM in all its potential. Therefore, 100 public databases and ten medical imaging software tools were selected and examined using a systematic approach. In particular, the DICOM fields related to privacy, segmentation and reporting have been assessed in the selected database; software tools have been evaluated for reading and writing the same DICOM fields. From our analysis, less than a third of the databases examined use the DICOM format to record meaningful information to manage the images. Regarding software, the vast majority does not allow the management, reading and writing of some or all the DICOM fields. Surprisingly, if we observe chest computed tomography data sharing to address the COVID-19 emergency, there are only two datasets out of 12 released in DICOM format. Our work shows how the DICOM can potentially fully support big data management; however, further efforts are still needed from the scientific and technological community to promote the use of the existing standard, encouraging data sharing and interoperability for a concrete development of big data analytics.Marco AielloGiuseppina EspositoGiulio PagliariPasquale BorrelliValentina BrancatoMarco SalvatoreSpringerOpenarticleDICOMBig dataData curationCOVID-19Data analyticsMedical physics. Medical radiology. Nuclear medicineR895-920ENInsights into Imaging, Vol 12, Iss 1, Pp 1-21 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	DICOM Big data Data curation COVID-19 Data analytics Medical physics. Medical radiology. Nuclear medicine R895-920
spellingShingle	DICOM Big data Data curation COVID-19 Data analytics Medical physics. Medical radiology. Nuclear medicine R895-920 Marco Aiello Giuseppina Esposito Giulio Pagliari Pasquale Borrelli Valentina Brancato Marco Salvatore How does DICOM support big data management? Investigating its use in medical imaging community
description	Abstract The diagnostic imaging field is experiencing considerable growth, followed by increasing production of massive amounts of data. The lack of standardization and privacy concerns are considered the main barriers to big data capitalization. This work aims to verify whether the advanced features of the DICOM standard, beyond imaging data storage, are effectively used in research practice. This issue will be analyzed by investigating the publicly shared medical imaging databases and assessing how much the most common medical imaging software tools support DICOM in all its potential. Therefore, 100 public databases and ten medical imaging software tools were selected and examined using a systematic approach. In particular, the DICOM fields related to privacy, segmentation and reporting have been assessed in the selected database; software tools have been evaluated for reading and writing the same DICOM fields. From our analysis, less than a third of the databases examined use the DICOM format to record meaningful information to manage the images. Regarding software, the vast majority does not allow the management, reading and writing of some or all the DICOM fields. Surprisingly, if we observe chest computed tomography data sharing to address the COVID-19 emergency, there are only two datasets out of 12 released in DICOM format. Our work shows how the DICOM can potentially fully support big data management; however, further efforts are still needed from the scientific and technological community to promote the use of the existing standard, encouraging data sharing and interoperability for a concrete development of big data analytics.
format	article
author	Marco Aiello Giuseppina Esposito Giulio Pagliari Pasquale Borrelli Valentina Brancato Marco Salvatore
author_facet	Marco Aiello Giuseppina Esposito Giulio Pagliari Pasquale Borrelli Valentina Brancato Marco Salvatore
author_sort	Marco Aiello
title	How does DICOM support big data management? Investigating its use in medical imaging community
title_short	How does DICOM support big data management? Investigating its use in medical imaging community
title_full	How does DICOM support big data management? Investigating its use in medical imaging community
title_fullStr	How does DICOM support big data management? Investigating its use in medical imaging community
title_full_unstemmed	How does DICOM support big data management? Investigating its use in medical imaging community
title_sort	how does dicom support big data management? investigating its use in medical imaging community
publisher	SpringerOpen
publishDate	2021
url	https://doaj.org/article/0f4747666c59415abe6f34bb3ecead91
work_keys_str_mv	AT marcoaiello howdoesdicomsupportbigdatamanagementinvestigatingitsuseinmedicalimagingcommunity AT giuseppinaesposito howdoesdicomsupportbigdatamanagementinvestigatingitsuseinmedicalimagingcommunity AT giuliopagliari howdoesdicomsupportbigdatamanagementinvestigatingitsuseinmedicalimagingcommunity AT pasqualeborrelli howdoesdicomsupportbigdatamanagementinvestigatingitsuseinmedicalimagingcommunity AT valentinabrancato howdoesdicomsupportbigdatamanagementinvestigatingitsuseinmedicalimagingcommunity AT marcosalvatore howdoesdicomsupportbigdatamanagementinvestigatingitsuseinmedicalimagingcommunity
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How does DICOM support big data management? Investigating its use in medical imaging community

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