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A semantic database for integrated management of image and dosimetric data in low radiation dose research in medical imaging

Bernard Gibaud, Marine Brenet, Guillaume Pasquier, Alex Vergara Gil, Manuel Bardiès, John Stratakis, John Damilakis, Nicolas Van Dooren, Joël Spaltenstein, Osman Ratib
2021 AMIA Annual Symposium Proceedings  
This work presents the development of a computer platform called Image and Radiation Dose BioBank (IRDBB) to manage research data produced in the context of the MEDIRAD project, a European project focusing  ...  on research on low doses in the context of medical procedures.  ...  The authors thank the STARDOG company for the free license of the STARDOG system, and for their efficient technical support. The authors thank  ... 
pmid:33936422 pmcid:PMC8075532 fatcat:ro5xtkqsuzgytpnulwey5ggy3a

How Will Big Data Improve Clinical and Basic Research in Radiation Therapy?

Barry S. Rosenstein, Jacek Capala, Jason A. Efstathiou, Jeff Hammerbacher, Sarah L. Kerns, Feng-Ming (Spring) Kong, Harry Ostrer, Fred W. Prior, Bhadrasain Vikram, John Wong, Ying Xiao
2016 International Journal of Radiation Oncology, Biology, Physics  
for research studies and greater quantities of data are being generated.  ...  Thus, the tremendous quantity of information produced in both basic and clinical research in radiation therapy can now be considered as having entered the realm of Big Data.  ...  HHSN261200800001E and 1U01CA187013. Dr. Andre Dekker and Dr. Jatinder Palta are thanked for the information concerning EUROCAT and VA system, respectively.  ... 
doi:10.1016/j.ijrobp.2015.11.009 pmid:26797542 pmcid:PMC4864183 fatcat:2cqg7gkca5hpxn4ekmfcup664q

Internet-based computer technology on radiotherapy

James C.L. Chow
2017 Reports of Practical Oncology & Radiotherapy  
Recent rapid development of Internet-based computer technologies has made possible many novel applications in radiation dose delivery.  ...  applications in radiotherapy, such as treatment planning and dose delivery.  ...  Huser et al. studied the challenges in big data for radiotherapy and highlighted issues of data volume, institutional review board, semantic data integration, databases versus data files and access to  ... 
doi:10.1016/j.rpor.2017.08.005 pmid:28932174 pmcid:PMC5596257 fatcat:jhwpmrvvzrfc5kmryrd74xtvna

Physical and Radiobiological Evaluation of Radiotherapy Treatment Plan [chapter]

Suk Lee, Yuan Jie Cao, Chul Yong Kim
2015 Evolution of Ionizing Radiation Research  
Additionally, we have reviewed dose tolerance for critical organs including RTOG clinical trial results, QUENTEC data, Emami data, and Milano clinical trial results.  ...  Radiation treatment planning plays an important role in modern radiation therapy; it could simulate to plan the geometric, radiobiological, and dosimetric aspects of the therapy using radiation transport  ...  Table 2 . 2 Radiation tolerance dose in head and neckEvolution of Ionizing Radiation Research RTOG data QUANTEC data Emami Data Milano Data Critical Structure Dose/ fx Vol.  ... 
doi:10.5772/60846 fatcat:japtzftierhrfalnluz6zzcbom

Overview of the American Society for Radiation Oncology–National Institutes of Health–American Association of Physicists in Medicine Workshop 2015: Exploring Opportunities for Radiation Oncology in the Era of Big Data

Stanley H. Benedict, Karen Hoffman, Mary K. Martel, Amy P. Abernethy, Anthony L. Asher, Jacek Capala, Ronald C. Chen, Bhisham Chera, Jennifer Couch, James Deye, Jason A. Efstathiou, Eric Ford (+16 others)
2016 International Journal of Radiation Oncology, Biology, Physics  
Radiation Oncology in the Era of Big Data," August 13-14, 2015, included Stanley H.  ...  We are also grateful to the American Society for Radiation Oncology and the American Association of Physicists in Medicine for their administrative support and financial assistance, without which this  ...  Imaging There is much potentially valuable information embedded in medical images, including radiation treatment planning images.  ... 
doi:10.1016/j.ijrobp.2016.03.006 pmid:27302503 pmcid:PMC4965164 fatcat:cq2zwihthfatpgelgusvacloke

Deep Learning in Radiation Oncology

Wonjoong Cheon, Haksoo Kim, Jinsung Kim
2020 Progress in Medical Physics  
The application areas of DL in radiation oncology include classification, semantic segmentation, object detection, image translation and generation, and image captioning.  ...  We believe this paper will serve as a guide for both clinicians and medical physicists on issues that need to be addressed in time.  ...  Its utility in radiation oncology and other medical physics areas has been discussed and verified in several research papers .  ... 
doi:10.14316/pmp.2020.31.3.111 fatcat:rbbemtrrezhrdovmyqof7t32ny

Artificial Intelligence and the Medical Physicist: Welcome to the Machine

Michele Avanzo, Annalisa Trianni, Francesca Botta, Cinzia Talamonti, Michele Stasi, Mauro Iori
2021 Applied Sciences  
The purpose of this review is to summarize the main applications of AI in medical physics, describe the skills of the MPs in research and clinical applications of AI, and define the major challenges of  ...  As a result, the Italian Association of Medical Physics (AIFM) has created the "AI for Medical Physics" (AI4MP) group with the aims of coordinating the efforts, facilitating the communication, and sharing  ...  Data Availability Statement: Not applicable. Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/app11041691 fatcat:gystnyouzfcqvc7lebogwy5rjq

Artificial intelligence and radiation protection. A game changer or an update?

S. Andresz, A Zéphir, J. Bez, M. Karst, J. Danieli
2022 Radioprotection - Revue de la Societé Francaise de Radioprotection  
The article proposes that collaboration between radiation protection professionals and data scientist experts can accelerate and guide the development of the algorithms for effective scientific and technological  ...  It is foreseen that the usage of AI will increase in radiation protection.  ...  The authors would like to specially thanks the RP professionals and the data scientists at ASN, IRSN (ENV, LEPI) and Icohup for their time in (virtual) meeting and answering our questions by mail or phone  ... 
doi:10.1051/radiopro/2022004 fatcat:5ncfcvugbzasdbdtw3i7d3qyk4

ENLIGHT Hightlights - Issue 5

Enlight
2015 Zenodo  
Fifth issue of the publication Enlight Highlights (February 2015)  ...  LARGE SCALE COMPUTING, DATA STORAGE AND ANALYSIS The reputation of CERN in data management and storage is first rate.  ...  Pioneering work is on-going on the integration of a prototype ultrasound tracking system in the PET imaging and dose delivery workflows, promising the possibility to provide more thorough and dose-free  ... 
doi:10.5281/zenodo.3478525 fatcat:wfm6a2m7urds3jwgz7u5u4ufhq

A review on personalized pediatric dosimetry applications using advanced computational tools

Panagiotis Papadimitroulas, Theodora Kostou, Konstantinos Chatzipapas, Dimitris Visvikis, Konstantinos A. Mountris, Vincent Jaouen, Konstantinos Katsanos, Athanasios Diamantopoulos, Dimitris Apostolopoulos, Athanasios Balomenos, Yiannis Kopsinis, George Loudos (+3 others)
2019 IEEE Transactions on Radiation and Plasma Medical Sciences  
widely used in medical applications; and 3) ML techniques that provide an alternative method for estimating individualized absorbed doses.  ...  Pediatric patient-specific dosimetry of ionizing radiation is of great scientific and social interest.  ...  to keep a record of dose per patient CT scan to monitor and manage radiation risks.  ... 
doi:10.1109/trpms.2018.2876562 fatcat:3rlnu7mltnf2pcj2z6ma5gfhku

Radiomics in Cancer Radiotherapy: a Review [article]

Jiwoong Jeong, Arif Ali, Tian Liu, Hui Mao, Walter J. Curran, Xiaofeng Yang
2019 arXiv   pre-print
Radiomics is a nascent field in quantitative imaging that uses advanced algorithms and considerable computing power to describe tumor phenotypes, monitor treatment response, and assess normal tissue toxicity  ...  This review will attempt to comprehensively and critically discuss the various aspects of radiomics including its workflow, applications to different modalities, potential applications in cancer radiotherapy  ...  It is common to build treatment risk models through clinical data, dosimetric evaluation, and semantic image features.  ... 
arXiv:1910.02102v2 fatcat:joyhcr3r4bgivf6bn3tu4jiy2a

Machine Learning for Head and Neck Cancer: A Safe Bet?—A Clinically Oriented Systematic Review for the Radiation Oncologist

Stefania Volpe, Matteo Pepa, Mattia Zaffaroni, Federica Bellerba, Riccardo Santamaria, Giulia Marvaso, Lars Johannes Isaksson, Sara Gandini, Anna Starzyńska, Maria Cristina Leonardi, Roberto Orecchia, Daniela Alterio (+1 others)
2021 Frontiers in Oncology  
of ML in the field of HN Radiation Oncology is wide, albeit this area of research is relatively young.  ...  and PurposeMachine learning (ML) is emerging as a feasible approach to optimize patients' care path in Radiation Oncology.  ...  involved in medical research, such as clinicians, statisticians, and ML experts.  ... 
doi:10.3389/fonc.2021.772663 pmid:34869010 pmcid:PMC8637856 fatcat:gjlgknmscfbknp2npt3yzs5wvu

AAPM Spring Clinical Meeting - Abstract

2021 Journal of Applied Clinical Medical Physics  
The software acquires and stores radiation dose data from DICOM-compliant radiation dose structured reports (RDSRs) and provides customizable dose reports, high-dose alerts, and many data analysis tools  ...  Methods: In collaboration with Massachusetts General Hospital (MGH), five years of historical data was accumulated within a RITtrend® database.  ...  The data was organized in Excel-sheets and referenced publications were saved in a database for future SPCs.  ... 
doi:10.1002/acm2.13289 pmid:34002941 fatcat:6oivewssf5gwnnztmhff4nldle

Automated data abstraction for quality surveillance and outcome assessment in radiation oncology

Rishabh Kapoor, William C Sleeman, Joseph J Nalluri, Paul Turner, Priyankar Bose, Andrii Cherevko, Sriram Srinivasan, Khajamoinuddin Syed, Preetam Ghosh, Michael Hagan, Jatinder R Palta
2021 Journal of Applied Clinical Medical Physics  
HINGE software has disease site-specific "Smart" templates that facilitate the entry of relevant clinical information by physicians and clinical staff in a discrete manner as part of the routine clinical  ...  We present the design and implementation framework of an integrated data abstraction, aggregation, and storage, curation, and analytics software: the Health Information Gateway and Exchange (HINGE), which  ...  This has the potential for big data outcome research in radiation oncology and high-quality continuity of care.  ... 
doi:10.1002/acm2.13308 pmid:34101349 fatcat:vo6blypq3zb4dcz2pr563kevae

Medical Images Simulation, Storage, and Processing on the European DataGrid Testbed

J. Montagnat, F. Bellet, H. Benoit-Cattin, V. Breton, L. Brunie, H. Duque, Y. Legr�, I. E. Magnin, L. Maigne, S. Miguet, J. -M. Pierson, L. Seitz (+1 others)
2004 Journal of Grid Computing  
If the benefit of grid enabling for some medical applications is clear, there remain opened research and technical issues to develop and integrate all necessary services.  ...  The European IST DataGrid project was a pioneer in identifying the medical imaging field as an application domain that can benefit from grid technologies.  ...  This paper synthesizes the work performed in several laboratories developing grid technologies for health applications that are supported by several national and international research programs.  ... 
doi:10.1007/s10723-004-5744-y fatcat:vqdhjseu75hztatzxzpv7zyiw4
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