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Nuklearmedizin ; 59(6): 445-453, 2020 Dec.
Article in English | MEDLINE | ID: mdl-32992376

ABSTRACT

AIM: Diagnosis of pulmonary embolism using V/P-SPECT may include the application of advanced image-processing techniques to identify V/P-mismatches. Aim of this study was to evaluate the benefit in clinical decision making in the diagnosis of pulmonary embolism.by whether adding to conventional reading a software that automatically calculates and visualizes the ventilation/perfusion-quotient pixel by pixel. METHODS: 63 consecutive patients with a clinical suspicion of PE who underwent V/P-SPECT were included in this retrospective study. Images were randomly ordered both for standard as well as for software-assisted reading using V/P-quotients. Studies were read independently by 2 experienced and 2 inexperienced raters. Diagnostic performance and observer agreement of all readers and both reading methods were determined. RESULTS: Expert observers consistently achieved a high diagnostic accuracy both in conventional as well as in software-assisted reporting (sensitivity: 0.94 vs. 0.94, specificity: 0.96 vs. 0.97, LR+: 17.32 vs. 28.86, LR- stayed constant at 0.06). For inexperienced readers, diagnostic performance improved: sensitivity raised from 0.74 to 0.85 and specificity from 0.86 to 0.95, LR+ raised from 5.20 to 15.69, LR- decreased from 0.31 to 0.16. Inter-rater reliability (Fleiss' κ) improved from 0.63 to 0.86 by using V/P quotient. CONCLUSION: Benefit from a software-tool that calculates V/P-ratio automatically is only small when used by experienced physicians If inexperienced readers use the software, the diagnostic accuracy increases. Images generated by automated calculation of V/P-mismatches are easy to read and their use might help to standardize and objectify interpretation of V/P-SPECT in the diagnosis of PE.


Subject(s)
Pulmonary Embolism/diagnostic imaging , Tomography, Emission-Computed, Single-Photon/methods , Ventilation-Perfusion Ratio/physiology , Adult , Aged , Aged, 80 and over , Female , Humans , Image Processing, Computer-Assisted , Lung/physiopathology , Male , Middle Aged , Perfusion , Reproducibility of Results , Retrospective Studies
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