Cloud-Based CT Dose Monitoring using the DICOM-Structured Report: Fully Automated Analysis in Regard to National Diagnostic Reference Levels

Rofo. 2016 Mar;188(3):288-94. doi: 10.1055/s-0041-108059. Epub 2015 Dec 3.

Abstract

Purpose: To implement automated CT dose data monitoring using the DICOM-Structured Report (DICOM-SR) in order to monitor dose-related CT data in regard to national diagnostic reference levels (DRLs).

Materials and methods: We used a novel in-house co-developed software tool based on the DICOM-SR to automatically monitor dose-related data from CT examinations. The DICOM-SR for each CT examination performed between 09/2011 and 03/2015 was automatically anonymized and sent from the CT scanners to a cloud server. Data was automatically analyzed in accordance with body region, patient age and corresponding DRL for volumetric computed tomography dose index (CTDIvol) and dose length product (DLP).

Results: Data of 36,523 examinations (131,527 scan series) performed on three different CT scanners and one PET/CT were analyzed. The overall mean CTDIvol and DLP were 51.3% and 52.8% of the national DRLs, respectively. CTDIvol and DLP reached 43.8% and 43.1% for abdominal CT (n=10,590), 66.6% and 69.6% for cranial CT (n=16,098) and 37.8% and 44.0% for chest CT (n=10,387) of the compared national DRLs, respectively. Overall, the CTDIvol exceeded national DRLs in 1.9% of the examinations, while the DLP exceeded national DRLs in 2.9% of the examinations. Between different CT protocols of the same body region, radiation exposure varied up to 50% of the DRLs.

Conclusion: The implemented cloud-based CT dose monitoring based on the DICOM-SR enables automated benchmarking in regard to national DRLs. Overall the local dose exposure from CT reached approximately 50% of these DRLs indicating that DRL actualization as well as protocol-specific DRLs are desirable. The cloud-based approach enables multi-center dose monitoring and offers great potential to further optimize radiation exposure in radiological departments.

Key points: • The newly developed software based on the DICOM-Structured Report enables large-scale cloud-based CT dose monitoring • The implemented software solution enables automated benchmarking in regard to national DRLs • The local radiation exposure from CT reached approximately 50 % of the national DRLs • The cloud-based approach offers great potential for multi-center dose analysis.

MeSH terms

  • Benchmarking / methods
  • Benchmarking / standards
  • Cloud Computing*
  • Data Mining / methods
  • Germany
  • Guidelines as Topic
  • Machine Learning
  • Maximum Allowable Concentration
  • Natural Language Processing
  • Pattern Recognition, Automated
  • Radiation Dosage
  • Radiation Exposure / standards
  • Radiation Exposure / statistics & numerical data*
  • Radiation Monitoring / methods
  • Radiation Monitoring / standards*
  • Radiation Monitoring / statistics & numerical data
  • Radiology Information Systems / standards*
  • Radiology Information Systems / statistics & numerical data*
  • Reference Values
  • Tomography, X-Ray Computed / standards
  • Tomography, X-Ray Computed / statistics & numerical data*