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Analysis of a multicentre cloud-based CT dosimetric database: preliminary results.

Francesca Calderoni1, Federica Campanaro1, Paola Enrica Colombo1

  • 1Department of Medical Physics, ASST Grande Ospedale Metropolitano Niguarda, Piazza Ospedale Maggiore 3, 20162, Milan, Italy.

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Summary

A radiation dose index monitoring (RDIM) software was implemented across four hospitals to manage CT scanner data. This system successfully standardized procedure names, enabling accurate analysis of radiation dose metrics.

Keywords:
Radiation dosageRadiation dose index monitoring softwareRadiation exposureSoftwareTomography scanners (x-ray computed)

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Area of Science:

  • Medical Physics
  • Radiology
  • Health Informatics

Background:

  • Managing and analyzing dosimetric data from multiple Computed Tomography (CT) facilities presents challenges due to inconsistent terminology.
  • Standardization is crucial for effective radiation dose monitoring and comparison across institutions.

Purpose of the Study:

  • To implement and evaluate a cloud-based Radiation Dose Index Monitoring (RDIM) software for managing CT dosimetric data from four Italian hospitals.
  • To standardize the description of radiological procedures for accurate data analysis.

Main Methods:

  • Utilized RDIM software to collect anonymized CT exams via a cloud server.
  • Selected specific Digital Imaging and Communications in Medicine (DICOM) tags and associated them with Study Common Names (SCNs) from a radiology playbook.
  • Conducted retrospective analysis to describe the population, evaluate dosimetric indices, and identify inaccuracies related to SCNs.

Main Results:

  • Over 400 procedures were categorized into 95 SCNs, with 10 SCNs covering 78% of adult exams.
  • Median dose-length product (DLP) and volumetric CT dose index (CTDIvol) values for analyzed SCNs aligned with published data.
  • Inaccuracies in procedure naming had a minimal impact (max 8% variation) on overall dosimetric analysis.

Conclusions:

  • The playbook-based clustering approach within the cloud-based RDIM system proved effective for homogeneous data analysis.
  • This methodology facilitates radiation dose optimization, risk assessment, inter-facility comparisons, and supports regulatory compliance (e.g., Euratom Directive).