… Klok, Gudula JAM Boon, Stefano Barco, Matthias Endres, JJ Miranda Geelhoed, Samuel
Knauss, Spencer A. Rezek, Martijn A. Spruit, Jörg Vehreschild, Bob Siegerink … Author …

Care for patients with acute pulmonary embolism (PE) involves more than determination of
the duration of anticoagulant therapy. After choosing the optimal initial management strategy …

AIM To review the published literature concerning the accuracy of faecal inflammatory markers
for identifying mucosal healing. METHODS Bibliographical searches were performed in …

Background An increasing number of subjects are recovering from COVID-19, raising the
need for tools to adequately assess the course of the disease and its impact on functional …

Acute pulmonary embolism (PE) is not only a serious and potentially life-threatening disease
in the acute phase, in recent years it has become evident that it may also have a major …

Background The current diagnostic delay of chronic thromboembolic pulmonary hypertension
(CTEPH) after pulmonary embolism (PE) is unacceptably long, causing loss of quality-…

BACKGROUND Chronic thromboembolic pulmonary hypertension (CTEPH) is often
diagnosed after a long delay, even though signs may already be present on the computed …

Background The Post-Pulmonary Embolism Syndrome (PPES) comprises heterogeneous
entities, including chronic thromboembolic disease with/without pulmonary hypertension (…

Objectives Closer reading of computed tomography pulmonary angiography (CTPA) scans
of patients presenting with acute pulmonary embolism (PE) may identify those at high risk of …

Graph Convolutional Networks (GCNs) are a novel and powerful method for dealing with
non-Euclidean data, while Convolutional Neural Networks (CNNs) can learn features from …