Intelligent Radiomic Analysis of Q-SPECT/CT Images To Optimize Pulmonary Embolism Diagnosis in COVID-19 Patients

Debora Gil, Sonia Baeza, Carles Sanchez, Guillermo Torres, Ignasi García-Olivé, Gloria Moragas, Jordi Deportós, Maite Salcedo, Antoni Rosell; Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops, 2021, pp. 446-453

Abstract


Coronavirus disease 2019 (COVID-19) pneumonia is associated with a high rate of pulmonary embolism (PE). In patients with contraindications for CT pulmonary angiography (CTPA) or non-diagnostic on CTPA, perfusion single photon emission computed tomography/computed tomography (Q-SPECT/CT) is a diagnosis option. The goal of this work is to develop an Intelligent Radiomic system for the detection of PE in COVID-19 patients from the analysis of Q-SPECT/CT scans. Our Intelligent Radiomic System for identification of patients with PE (with/without pneumonia) is based on a local analysis of SPECT-CT volumes that considers both CT and SPECT values for each volume point. We present an hybrid approach that uses radiomic features extracted from each scan as input to a siamese classification network trained to discriminate among 4 different types of tissue: no pneumonia without PE (control group), no pneumonia with PE, pneumonia without PE and pneumonia with PE. The proposed radiomic system has been tested on 133 patients, 63 with COVID-19 (26 with PE, 22 without PE, 15 indeterminate-PE) and 70 without COVID-19 (31 healthy/control, 39 with PE). The per-patient recall for the detection of COVID-19 pneumonia and COVID-19 pneumonia with PE was, respectively, 91% and 81% with an area under the receiver operating characteristic curves equal to 0.99 and 0.87.

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[bibtex]
@InProceedings{Gil_2021_ICCV, author = {Gil, Debora and Baeza, Sonia and Sanchez, Carles and Torres, Guillermo and Garc{\'\i}a-Oliv\'e, Ignasi and Moragas, Gloria and Deport\'os, Jordi and Salcedo, Maite and Rosell, Antoni}, title = {Intelligent Radiomic Analysis of Q-SPECT/CT Images To Optimize Pulmonary Embolism Diagnosis in COVID-19 Patients}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2021}, pages = {446-453} }