Role of multidetector CT in predicting patient outcome in cases of pulmonary embolism: correlation between imaging findings, ICU admissions and mortality rate

Author:

Ibrahim HebaORCID,El-Maadawy Samar M.

Abstract

Abstract Background Pulmonary embolism (PE) is a critical medical condition that requires prompt diagnosis and treatment to avoid serious morbidity and mortality risk. Multidetector CT pulmonary angiography (CTPA) is considered the first-line imaging modality for suspected acute PE. The presence of right heart strain, which supports the diagnosis, requires special attention. The aim of our retrospective study is to assess the reliability of CTPA hemodynamic indices in predicting patients’ outcome in cases of PE. Results Sixty patients were included in our study. CTPA parameters including main pulmonary artery (MPA) diameter, left ventricle (LV) diameter, right ventricle (RV)/LV ratio, and septal deviation had a clinical prognostic value for short-term 30-day mortality and ICU admission. Statistically significant relationship between MPA diameter > 29 mm, LV diameter, RV/LV ratio > 1, left-sided septal deviation and contrast reflux into the IVC/distal hepatic veins with ICU admission was observed with p values 0.031, 0.000, 0.000, 0.005 and 0.028 respectively. There was a statistically significant correlation between MPA diameter > 29 mm, LV diameter, RV/LV > 1 ratio and septal deviation with 30-day mortality with p values of < 0.001, 0.001, < 0.001 and 0.015 respectively. No significant correlation was found between 30-day mortality and contrast reflux to IVC with p value of 0.070. Conclusions CTPA measurements including MPA diameter, RV/LV ratio and septal deviation were found to be significantly correlated to ICU admission and 30-day mortality as predictors for PE severity. CT contrast reflux was found to be correlated to ICU admission; however, it was not significantly correlated to 30-day mortality.

Publisher

Springer Science and Business Media LLC

Subject

Radiology Nuclear Medicine and imaging

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