Appropriateness of CT pulmonary angiograms according to current diagnostic guidelines based on risk stratification: A

Michal Buk1,2,3, Fabian Rengier1,4, Theresa Mokry1

  • 1Department of Diagnostic and Interventional Radiology, University Hospital Heidelberg, Germany.

Insights

Assessing CT pulmonary angiograms (CTPA) for pulmonary embolism (PE) requires accurate risk stratification. Full clinical data integration significantly improves CTPA appropriateness compared to radiology information system data alone.

Area of Science:

  • Radiology
  • Cardiology
  • Medical Diagnostics

Background:

  • Pulmonary embolism (PE) diagnosis relies on CT pulmonary angiograms (CTPA) guided by risk scores like the simplified Geneva Score (sGS) and D-dimer tests.
  • Current guidelines, such as the 2014 European Society of Cardiology (ESC) recommendations, dictate the appropriate use of CTPA.

Purpose of the Study:

  • To validate the diagnostic yield and appropriateness of CTPA examinations for suspected PE.
  • To assess the impact of integrating clinical information system (CIS) data with radiology information system (RIS) data on CTPA appropriateness.

Main Methods:

  • Retrospective analysis of 155 outpatients undergoing CTPA for suspected PE.
  • Evaluation of simplified Geneva Score (sGS) items and D-dimer results using both RIS and CIS data.
  • Comparison of CTPA indication comprehensibility and pre-test probability assessment between RIS alone and combined RIS/CIS data.

Main Results:

  • CTPA indication was formally comprehensible in 75.5% of cases using RIS data alone, increasing to 88.4% when CIS data was included.
  • Integrating CIS data upgraded PE probability from low to high in 39.7% of patients compared to RIS data alone.
  • A significant discrepancy was noted between data on CTPA request forms and full clinical documentation, impacting decision-making.

Conclusions:

  • Applying current diagnostic guidelines to the study data demonstrates a high diagnostic yield for CTPA.
  • Incomplete data transfer from clinical documentation to CTPA request forms hinders appropriate clinical decision-making.
  • Comprehensive data integration is crucial for accurate risk stratification and appropriate CTPA utilization.
Abstract

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