{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,7,30]],"date-time":"2025-07-30T10:37:59Z","timestamp":1753871879710,"version":"3.41.2"},"reference-count":18,"publisher":"Portland Press Ltd.","issue":"4","license":[{"start":{"date-parts":[[2020,4,9]],"date-time":"2020-04-09T00:00:00Z","timestamp":1586390400000},"content-version":"vor","delay-in-days":8,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["portlandpress.com"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2020,4,30]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:p>Objective: The present study aimed to construct a diagnosis model for the early differentiation of acute radiation pneumonitis (ARP) and infectious pneumonitis based on multiple parameters.<\/jats:p>\n               <jats:p>Methods: The present study included data of 152 patients admitted to the Department of Radiochemotherapy, Tangshan People\u2019s Hospital, who developed ARP (91 patients) or infectious pneumonia (IP; 61 patients) after radiotherapy. The radiophysical parameters, imaging characteristics, serological indicators, and other data were collected as independent variables, and ARP was considered as a dependent variable. Logistics univariate analysis and Spearman correlation analysis were used for selecting independent variables. Logistics multivariate analysis was used to fit the variables into the regression model to predict ARP.<\/jats:p>\n               <jats:p>Results: The univariate analysis showed that the positional relation between lesions and V20 area (PRLV), procalcitonin (PCT), C-reactive protein (CRP), mean lung dose (MLD), and lung volume receiving \u226520 Gy (V20) correlated with ARP while the planning target volume (PTV) dose marginally correlated with ARP. The multivariate analysis showed that the PRLV, PCT, white blood cell (WBC), and MLD were independent diagnostic factors. The nomogram was drawn on the basis of the logistics regression model. The area under the curve (AUC) of the model was 0.849, which was significantly better than that of a single indicator and the sensitivity and specificity of the model were high (82.4 and 82.0%, respectively). These results predicted by the model were highly consistent with the actual diagnostic results. The decision curve analysis (DCA) demonstrated a satisfactory positive net benefit of the model.<\/jats:p>\n               <jats:p>Conclusion: The diagnosis model constructed in the present study is of certain value for the differential diagnosis of ARP and IP.<\/jats:p>","DOI":"10.1042\/bsr20200299","type":"journal-article","created":{"date-parts":[[2020,4,9]],"date-time":"2020-04-09T10:58:21Z","timestamp":1586429901000},"update-policy":"https:\/\/doi.org\/10.1042\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Early differential diagnosis model for acute radiation pneumonitis based on multiple parameters"],"prefix":"10.1042","volume":"40","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3904-4513","authenticated-orcid":false,"given":"Zhiwu","family":"Wang","sequence":"first","affiliation":[{"name":"Department of Chemoradiotherapy, Tangshan People\u2019s Hospital, Tangshan, P.R. China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Qiong","family":"Wu","sequence":"additional","affiliation":[{"name":"Department of Chemoradiotherapy, Tangshan People\u2019s Hospital, Tangshan, P.R. China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Liang","family":"Dong","sequence":"additional","affiliation":[{"name":"Department of Chemoradiotherapy, Tangshan People\u2019s Hospital, Tangshan, P.R. China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Haoyu","family":"Fu","sequence":"additional","affiliation":[{"name":"Department of Chemoradiotherapy, Tangshan People\u2019s Hospital, Tangshan, P.R. China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Qiwei","family":"Liu","sequence":"additional","affiliation":[{"name":"Nuclear Medicine Laboratory, Tangshan People\u2019s Hospital, Tangshan, P.R. China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"288","published-online":{"date-parts":[[2020,4,17]]},"reference":[{"key":"2021111620080873100_B1","doi-asserted-by":"publisher","first-page":"197","DOI":"10.1016\/j.radonc.2018.10.016","article-title":"Predicting severe acute radiation pneumonitis in patients with non-small cell lung cancer receiving postoperative radiotherapy: development and internal validation of a nomogram based on the clinical and dose-volume histogram parameters","volume":"132","author":"Tang","year":"2019","journal-title":"Radiother. Oncol."},{"key":"2021111620080873100_B2","doi-asserted-by":"publisher","first-page":"150","DOI":"10.1016\/j.chest.2019.03.033","article-title":"Radiation-induced lung injury: assessment and management","volume":"156","author":"Hanania","year":"2019","journal-title":"Chest"},{"key":"2021111620080873100_B3","doi-asserted-by":"publisher","first-page":"201","DOI":"10.1016\/j.ccm.2016.12.004","article-title":"Radiation pneumonitis","volume":"38","author":"Bledsoe","year":"2017","journal-title":"Clin. Chest Med."},{"key":"2021111620080873100_B4","first-page":"8","article-title":"Infectious complications in patients with lung cancer","volume":"17","author":"Akinosoglou","year":"2013","journal-title":"Eur. Rev. Med. Pharmacol. Sci."},{"key":"2021111620080873100_B5","first-page":"709","article-title":"Cytokines and radiation-induced pulmonary injuries","volume":"59","author":"Lierova","year":"2018","journal-title":"J. Radiat. Res."},{"key":"2021111620080873100_B6","doi-asserted-by":"publisher","first-page":"830","DOI":"10.1007\/s00066-019-01452-7","article-title":"Radiomic analysis of planning computed tomograms for predicting radiation-induced lung injury and outcome in lung cancer patients treated with robotic stereotactic body radiation therapy","volume":"195","author":"Bousabarah","year":"2019","journal-title":"Strahlenther. Onkol."},{"key":"2021111620080873100_B7","doi-asserted-by":"publisher","first-page":"407","DOI":"10.1016\/j.ijrobp.2018.05.068","article-title":"Therapeutic effects of human umbilical cord-derived mesenchymal stem cells on canine radiation-induced lung injury","volume":"102","author":"Hao","year":"2018","journal-title":"Int. J. Radiat. Oncol. Biol. Phys."},{"key":"2021111620080873100_B8","doi-asserted-by":"publisher","first-page":"609","DOI":"10.1007\/s11606-019-05197-y","article-title":"Adherence to procalcitonin measurement in inpatient care: a guide for antibiotic stewardship and high value care","volume":"35","author":"Dronamraju","year":"2019","journal-title":"J. Gen. Intern. Med."},{"key":"2021111620080873100_B9","doi-asserted-by":"publisher","first-page":"913","DOI":"10.3889\/oamjms.2019.208","article-title":"Procalcitonin and proinflammatory cytokines in early diagnosis of bacterial infections after bronchoscopy","volume":"7","author":"Farrokhpour","year":"2019","journal-title":"Open Access Mac. J. Med. Sci."},{"key":"2021111620080873100_B10","doi-asserted-by":"publisher","first-page":"1632","DOI":"10.1515\/cclm-2019-0175","article-title":"Utility of procalcitonin for differentiating cryptogenic organising pneumonia from community-acquired pneumonia","volume":"57","author":"Ito","year":"2019","journal-title":"Clin. Chem. Lab. Med."},{"key":"2021111620080873100_B11","doi-asserted-by":"publisher","first-page":"104","DOI":"10.1111\/iju.12178","article-title":"Differential diagnosis between bacterial infection and neoplastic fever in patients with advanced urological cancer: the role of procalcitonin","volume":"21","author":"Yaegashi","year":"2014","journal-title":"Int. J. Urol."},{"key":"2021111620080873100_B12","doi-asserted-by":"publisher","first-page":"849","DOI":"10.3892\/ol_00000150","article-title":"Infectious background of febrile advanced lung cancer patients who received chemotherapy","volume":"1","author":"Masago","year":"2010","journal-title":"Oncol. Lett."},{"key":"2021111620080873100_B13","doi-asserted-by":"publisher","first-page":"110","DOI":"10.3109\/07357907.2014.883525","article-title":"A clinical score, including biohumoral parameters, is a useful pretest index to discriminate pulmonary infections from radiation damage in chemoradiation-treated lung cancer patients","volume":"32","author":"Ramella","year":"2014","journal-title":"Cancer Invest."},{"key":"2021111620080873100_B14","doi-asserted-by":"crossref","first-page":"S378","DOI":"10.1093\/cid\/cix150","article-title":"Association of C-reactive protein with bacterial and respiratory syncytial virus-associated pneumonia among children aged &lt;5 years in the PERCH Study","volume":"64","author":"Higdon","year":"2017","journal-title":"Clin. Infect. Dis."},{"key":"2021111620080873100_B15","doi-asserted-by":"publisher","first-page":"201","DOI":"10.1093\/jrr\/rrv088","article-title":"Development of a minipig model for lung injury induced by a single high-dose radiation exposure and evaluation with thoracic computed tomography","volume":"57","author":"Lee","year":"2016","journal-title":"J. Radiat. Res."},{"key":"2021111620080873100_B16","doi-asserted-by":"publisher","first-page":"1751","DOI":"10.1001\/jamaoncol.2017.1114","article-title":"Febrile neutropenia","volume":"3","author":"Patel","year":"2017","journal-title":"JAMA Oncol."},{"key":"2021111620080873100_B17","doi-asserted-by":"publisher","first-page":"56","DOI":"10.1200\/JCO.2016.69.1378","article-title":"Impact of intensity-modulated radiation therapy technique for locally advanced non-small-cell lung cancer: a secondary analysis of the NRG Oncology RTOG 0617 randomized clinical trial","volume":"35","author":"Chun","year":"2017","journal-title":"J. Clin. Oncol."},{"key":"2021111620080873100_B18","doi-asserted-by":"publisher","first-page":"606","DOI":"10.1016\/j.bjid.2017.07.002","article-title":"Serum markers as an aid in the diagnosis of pulmonary fungal infections in AIDS patients","volume":"21","author":"Passos","year":"2017","journal-title":"Braz. J. Infect. Dis."}],"container-title":["Bioscience Reports"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/portlandpress.com\/bioscirep\/article-pdf\/doi\/10.1042\/BSR20200299\/872031\/bsr-2020-0299.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"syndication"},{"URL":"https:\/\/portlandpress.com\/bioscirep\/article-pdf\/doi\/10.1042\/BSR20200299\/872031\/bsr-2020-0299.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,11,16]],"date-time":"2021-11-16T20:44:53Z","timestamp":1637095493000},"score":1,"resource":{"primary":{"URL":"https:\/\/portlandpress.com\/bioscirep\/article\/40\/4\/BSR20200299\/222624\/Early-differential-diagnosis-model-for-acute"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,4]]},"references-count":18,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2020,4,30]]}},"URL":"https:\/\/doi.org\/10.1042\/bsr20200299","relation":{},"ISSN":["0144-8463","1573-4935"],"issn-type":[{"type":"print","value":"0144-8463"},{"type":"electronic","value":"1573-4935"}],"subject":[],"published-other":{"date-parts":[[2020,4]]},"published":{"date-parts":[[2020,4]]},"article-number":"BSR20200299"}}