nnU-Net-based deep-learning for pulmonary embolism: detection, clot volume quantification, and severity correlation in the RSPECT dataset

Lanza, Ezio; Ammirabile, Angela; Francone, Marco

doi:10.1016/j.ejrad.2024.111592

European Journal of Radiology

2024

DOI: 10.1016/j.ejrad.2024.111592

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nnU-Net-based deep-learning for pulmonary embolism: detection, clot volume quantification, and severity correlation in the RSPECT dataset

Ezio Lanza,

Angela Ammirabile,

Marco Francone

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2024

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Current Role of CT Pulmonary Angiography in Pulmonary Embolism: A State-of-the-Art Review

Diaz-Lorenzo,

Alonso-Burgos,

Friera Reyes

et al. 2024

J. Imaging

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The purpose of this study is to conduct a literature review on the current role of computed tomography pulmonary angiography (CTPA) in the diagnosis and prognosis of pulmonary embolism (PE). It addresses key topics such as the quantification of the thrombotic burden, its role as a predictor of mortality, new diagnostic techniques that are available, the possibility of analyzing the thrombus composition to differentiate its evolutionary stage, and the applicability of artificial intelligence (AI) in PE through CTPA. The only finding from CTPA that has been validated as a prognostic factor so far is the right ventricle/left ventricle (RV/LV) diameter ratio being >1, which is associated with a 2.5-fold higher risk of all-cause mortality or adverse events, and a 5-fold higher risk of PE-related mortality. The increasing use of techniques such as dual-energy computed tomography allows for the more accurate diagnosis of perfusion defects, which may go undetected in conventional computed tomography, identifying up to 92% of these defects compared to 78% being detected by CTPA. Additionally, it is essential to explore the latest advances in the application of AI to CTPA, which are currently expanding and have demonstrated a 23% improvement in the detection of subsegmental emboli compared to manual interpretation. With deep image analysis, up to a 95% accuracy has been achieved in predicting PE severity based on the thrombus volume and perfusion deficits. These advancements over the past 10 years significantly contribute to early intervention strategies and, therefore, to the improvement of morbidity and mortality outcomes for these patients.

show abstract

Current Role of CT Pulmonary Angiography in Pulmonary Embolism: A State-of-the-Art Review

Diaz-Lorenzo,

Alonso-Burgos,

Friera Reyes

et al. 2024

J. Imaging

View full text Add to dashboard Cite

show abstract

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nnU-Net-based deep-learning for pulmonary embolism: detection, clot volume quantification, and severity correlation in the RSPECT dataset

Cited by 1 publication

References 29 publications

Current Role of CT Pulmonary Angiography in Pulmonary Embolism: A State-of-the-Art Review

Current Role of CT Pulmonary Angiography in Pulmonary Embolism: A State-of-the-Art Review

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