Extended D-dimer Cut-offs and Machine Learning for Ruling Out Pulmonary Embolism in individuals undergoing CTPA

Pulmonary embolism (PE) is a major cause of morbidity and mortality [1]. Computed tomography pulmonary angiography (CTPA) is the gold standard for diagnosing PE [2] and a common investigation which contributes to potentially avoidable radiation exposure. CTPA use has quadrupled in the past two decades [3], and this has been associated with lower rates of PE detection [4] and possible overdiagnosis [5]. Footnotes This manuscript has recently been accepted for publication in the European Respiratory Journal . It is published here in its accepted form prior to copyediting and typesetting by our production team. After these production processes are complete and the authors have approved the resulting proofs, the article will move to the latest issue of the ERJ online. Please open or download the PDF to view this article. Conflict of interest: Dr. Franciosi has nothing to disclose. Conflict of interest: Dr. McCarthy has nothing to disclose. Conflict of interest: Dr. Gaffney has nothing to disclose. Conflict of interest: Dr. Duignan has nothing to disclose. Conflict of interest: Dr. Sweeney has nothing to disclose. Conflict of interest: Dr. O'Connell has nothing to disclose. Conflict of interest: Dr. Murphy has nothing to disclose. Conflict of interest: Dr. Ní Áinle has nothing to disclose. Conflict of interest: Dr. Butler has nothing to disclose. Conflict of interest: Dr. Dodd has nothing to disclose. Conflict of interest: Dr. Keane has nothing to disclose. Conflict of interest: Dr. Murphy has nothing to disclose. Conflict of interest: Dr. Curran has nothing to disclose. Conflict of interest: Dr. McCarthy has nothing to disclose.