Congress:
ECR25
Poster Number:
C-21858
Type:
Poster: EPOS Radiologist (scientific)
Authorblock:
R. Mücke1, C. Mönninghoff1, I. Shahzadi1, J. Borggrefe1, J. H. Niehoff1, G. Aßmann1, M. Schmidt1, A. Voskrebenzev2, J. Vogel-Claussen2; 1Minden/DE, 2Hannover/DE
Disclosures:
Ramona Mücke:
Nothing to disclose
Christoph Mönninghoff:
Nothing to disclose
Iram Shahzadi:
Employee: Siemens Healthineers AG
Jan Borggrefe:
Speaker: Siemens Healthineers AG Research/Grant Support: Siemens Healthineers AG
Julius Henning Niehoff:
Nothing to disclose
Gunter Aßmann:
Nothing to disclose
Michael Schmidt:
Nothing to disclose
Andreas Voskrebenzev:
Nothing to disclose
Jens Vogel-Claussen:
Nothing to disclose
Keywords:
Lung, Respiratory system, Thorax, CT-High Resolution, MR-Functional imaging, Imaging sequences, Connective tissue disorders
Results
PCCT findings
Both readers showed excellent inter-rater agreement for each component of the Warrick score (0.91-1.00). Similarly, both readers showed excellent agreement in terms of ICC values for Severity Score, Extent score and Total score (ICC 0.97 - 0.99).
Table 2: Warrick score findings. The most common findings were highlighted in green.
PREFUL findings
The Wilcoxon paired test for the two different PREFUL protocols did not reveal any significant difference for different PREFUL parameters (p-value > 0.05) except for one parameter: VQM Defect (FVL/Q) (p-value = 0.003), which represents the percentage of the lung affected by both perfusion and ventilation defects. It occured only rarely in the examined collective.
Correlation of PCCT with PFT
Significant inverse correlations were found between Severity score, Extent score and Total score with the pulmonary lung function parameters FVC, DCLOc SB and DLCOc/VA.
There was no significant correlation between the scores and the rest of the PFT parameters.
Fig 1: Scatter plot of significant correlations between PCCT and PFT
Correlation of PREFUL with PFT
The most correlations of PREFUL parameters were found with FEV1/FVC (modified Tiffeneau-Pinelli index).
Fig 2: Correlations of PREFUL MRI with PFT. Red = perfusion defect parameters, blue = ventilation defect parameters, green = parameters representing areas without perfusion or ventilation defects
Correlation of PCCT with PREFUL
There were no significant correlations between Severity, Extent and Total score with PREFUL parameters found using Spearman’s correlation coefficient. A comparison of PCCT with PREFUL ventilation and perfusion defect maps of both PREFUL protocols in two sample patients is shown in Figures 3 and 4.
Fig 3: Example of a patient with mild interstitial alterations due to systemic sclerosis (SSc) a) PCCT: Ground glass opacities mainly in the peripheral basal parts b) PREFUL ventilation/perfusion defect map (0.0 protocol): Ventilation defects (blue) mainly in the basal parts c) PREFUL ventilation/perfusion defect map (0.1 protocol): Ventilation defects (blue) mainly in the basal parts with a slightly different distribution and less perfusion defects (red) in comparison to the 0.0 protocol
Fig 4: Example of a patient with severe interstitial alterations due to systemic sclerosis (SSc) a) PCCT: Irregular pleural margins, septal or subpleural lines, honeycombing and subpleural cysts b) PREFUL ventilation/perfusion defect map (0.0 protocol): Ventilation defects (blue) mainly in the upper and lower parts of the lung c) PREFUL ventilation/perfusion defect map (0.1 protocol): more ventilation defects (blue) in comparison to the 0.0 protocol
