Research in diagnostic and interventional imaging最新文献

{"title":"Value and prognostic impact of a deep learning segmentation model of COVID-19 lung lesions on low-dose chest CT","authors":"Axel Bartoli MD ,&nbsp;Joris Fournel ,&nbsp;Arnaud Maurin MD ,&nbsp;Baptiste Marchi MD ,&nbsp;Paul Habert MD ,&nbsp;Maxime Castelli MD ,&nbsp;Jean-Yves Gaubert MD ,&nbsp;Sebastien Cortaredona MD ,&nbsp;Jean-Christophe Lagier MD, PhD ,&nbsp;Matthieu Million MD, PhD ,&nbsp;Didier Raoult MD, PhD ,&nbsp;Badih Ghattas MCU ,&nbsp;Alexis Jacquier MD, PhD","doi":"10.1016/j.redii.2022.100003","DOIUrl":"10.1016/j.redii.2022.100003","url":null,"abstract":"<div><h3>Objectives</h3><p>1) To develop a deep learning (DL) pipeline allowing quantification of COVID-19 pulmonary lesions on low-dose computed tomography (LDCT). 2) To assess the prognostic value of DL-driven lesion quantification.</p></div><div><h3>Methods</h3><p>This monocentric retrospective study included training and test datasets taken from 144 and 30 patients, respectively. The reference was the manual segmentation of 3 labels: normal lung, ground-glass opacity(GGO) and consolidation(Cons). Model performance was evaluated with technical metrics, disease volume and extent. Intra- and interobserver agreement were recorded. The prognostic value of DL-driven disease extent was assessed in 1621 distinct patients using C-statistics. The end point was a combined outcome defined as death, hospitalization&gt;10 days, intensive care unit hospitalization or oxygen therapy.</p></div><div><h3>Results</h3><p>The Dice coefficients for lesion (GGO+Cons) segmentations were 0.75±0.08, exceeding the values for human interobserver (0.70±0.08; 0.70±0.10) and intraobserver measures (0.72±0.09). DL-driven lesion quantification had a stronger correlation with the reference than inter- or intraobserver measures. After stepwise selection and adjustment for clinical characteristics, quantification significantly increased the prognostic accuracy of the model (0.82 vs. 0.90; <em>p</em>&lt;0.0001).</p></div><div><h3>Conclusions</h3><p>A DL-driven model can provide reproducible and accurate segmentation of COVID-19 lesions on LDCT. Automatic lesion quantification has independent prognostic value for the identification of high-risk patients.</p></div>","PeriodicalId":74676,"journal":{"name":"Research in diagnostic and interventional imaging","volume":"1 ","pages":"Article 100003"},"PeriodicalIF":0.0,"publicationDate":"2022-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8939894/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9909529","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Abdominal imaging in ICU patients with viral pneumonia: Are findings in COVID-19 patients really different from those observed with non-SARS-CoV-2 viral pneumonia?","authors":"Edouard Reizine ,&nbsp;Sebastien Mule ,&nbsp;Nicolas De Prost ,&nbsp;Nicolas Mongardon ,&nbsp;Jean-François Deux ,&nbsp;Hicham Kobeiter ,&nbsp;Alain Luciani","doi":"10.1016/j.redii.2022.01.001","DOIUrl":"10.1016/j.redii.2022.01.001","url":null,"abstract":"<div><h3>Purpose</h3><p>To evaluate and compare the prevalence and type of abdominal involvements identified on CT scans in COVID-19 critically ill patients to those observed in critically ill patients with non-SARS-CoV-2 viral pneumonia.</p></div><div><h3>Methods</h3><p>Monocentric IRB approved retrospective study comparing all abdominal CT scans performed for patients admitted in the ICU with COVID-19 and those performed in a historical cohort of ICU patients with non-SARS-CoV-2 viral pneumonia. For each patient, gallbladder abnormality, acute pancreatitis signs, acute adrenal infarction, renal infarcts, bowel wall thickening and CT scan signs of bowel ischemia were assessed. Results were then compared between critically ill COVID-19 and non-COVID-19 patients (Chi-2 or Fisher exact tests for categorical data and Student t-test or Mann-Whitney U test for continuous data as appropriate).</p></div><div><h3>Results</h3><p>Ninety-nine COVID-19 patients and 45 non-COVID-19 patients were included.</p><p>No difference was found between the rate of abnormal findings comparing COVID-19 patients and patients with other viral pneumonia (63/99 [64%] vs 27/45 [61%], p=0.94). Acute pancreatitis signs were more commonly seen in COVID-19 patients but without statistically difference between groups (14/99 [14%] vs 3/45 [6.7%], p=0.31). Bowel wall thickening was slightly more commonly seen in patients with other viral pneumonia (18/99 [18%] vs 11/45 [24%], p=0.52), however ischemic features were observed in higher rate in the COVID-19 group, although without reaching statistically significant differences (7/99 [7.1%] vs 2/45 [4.4%], p=0.75).</p></div><div><h3>Conclusion</h3><p>The rate and severity of abdominal involvement demonstrated by CT in ICU patients hospitalized for COVID-19 although high were not different to that observed in patients with other severe viral pneumoniae</p></div>","PeriodicalId":74676,"journal":{"name":"Research in diagnostic and interventional imaging","volume":"1 ","pages":"Article 100001"},"PeriodicalIF":0.0,"publicationDate":"2022-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8867080/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10294629","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}