{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,5]],"date-time":"2026-05-05T23:14:05Z","timestamp":1778022845955,"version":"3.51.4"},"reference-count":32,"publisher":"Wiley","license":[{"start":{"date-parts":[[2022,5,5]],"date-time":"2022-05-05T00:00:00Z","timestamp":1651708800000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Anhui Provincial Health Commission","award":["AHWJ2021b071"],"award-info":[{"award-number":["AHWJ2021b071"]}]},{"name":"Anhui Provincial Health Commission","award":["Hwk2020zd0015"],"award-info":[{"award-number":["Hwk2020zd0015"]}]},{"name":"Applied Medicine of Hefei Health Commission","award":["AHWJ2021b071"],"award-info":[{"award-number":["AHWJ2021b071"]}]},{"name":"Applied Medicine of Hefei Health Commission","award":["Hwk2020zd0015"],"award-info":[{"award-number":["Hwk2020zd0015"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Computational and Mathematical Methods in Medicine"],"published-print":{"date-parts":[[2022,5,5]]},"abstract":"<jats:p>Objective. Early diagnosis of allergic bronchopulmonary aspergillosis (ABPA) and targeted treatment can block the process of the disease. This study explores the diagnostic value of CT radiomics combined with clinical features in allergic ABPA. Methods. A total of 40 patients with ABPA were studied retrospectively, divided into training set (<jats:inline-formula>\n                     <a:math xmlns:a=\"http:\/\/www.w3.org\/1998\/Math\/MathML\" id=\"M1\">\n                        <a:mi>n<\/a:mi>\n                        <a:mo>=<\/a:mo>\n                        <a:mn>28<\/a:mn>\n                     <\/a:math>\n                  <\/jats:inline-formula>) and test set (<jats:inline-formula>\n                     <c:math xmlns:c=\"http:\/\/www.w3.org\/1998\/Math\/MathML\" id=\"M2\">\n                        <c:mi>n<\/c:mi>\n                        <c:mo>=<\/c:mo>\n                        <c:mn>12<\/c:mn>\n                     <\/c:math>\n                  <\/jats:inline-formula>). Based on CT imaging, the radiomics features are extracted and combined with clinical features to build a diagnostic model. The diagnosis model was based on support vector machine algorithm. The receiver operating characteristic curve (ROC) and area under the curve (AUC) were used to evaluate the diagnostic efficiency of the model. Results. There was no significant difference in general information and clinical data between the training and test sets (<jats:inline-formula>\n                     <e:math xmlns:e=\"http:\/\/www.w3.org\/1998\/Math\/MathML\" id=\"M3\">\n                        <e:mi>P<\/e:mi>\n                        <e:mo>&gt;<\/e:mo>\n                        <e:mn>0.05<\/e:mn>\n                     <\/e:math>\n                  <\/jats:inline-formula>). The AUC of the training set and the test set is 0.896 (95% CI: 0.836-0.963) and 0.886 (95% CI: 0.821-0.952), respectively. Conclusion. Based on the CT radiomics model combined with clinical data, it has high efficiency in the diagnosis of ABPA.<\/jats:p>","DOI":"10.1155\/2022\/5317509","type":"journal-article","created":{"date-parts":[[2022,5,5]],"date-time":"2022-05-05T23:20:14Z","timestamp":1651792814000},"page":"1-7","source":"Crossref","is-referenced-by-count":3,"title":["Value of CT Radiomics Combined with Clinical Features in the Diagnosis of Allergic Bronchopulmonary Aspergillosis"],"prefix":"10.1155","volume":"2022","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6026-8928","authenticated-orcid":true,"given":"Xiaojun","family":"Qian","sequence":"first","affiliation":[{"name":"Department of Allergy, The Third People\u2019s Hospital of Hefei, The Third Clinical College of Hefei of Anhui Medical University, Hefei, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3507-3878","authenticated-orcid":true,"given":"Hengmo","family":"Rong","sequence":"additional","affiliation":[{"name":"Department of Respiratory and Critical Care Medicine, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7539-7485","authenticated-orcid":true,"given":"Xue","family":"Wei","sequence":"additional","affiliation":[{"name":"Department of Allergy, The Third People\u2019s Hospital of Hefei, The Third Clinical College of Hefei of Anhui Medical University, Hefei, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8339-4882","authenticated-orcid":true,"given":"Guangsheng","family":"Rong","sequence":"additional","affiliation":[{"name":"Department of Allergy, The Third People\u2019s Hospital of Hefei, The Third Clinical College of Hefei of Anhui Medical University, Hefei, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3693-5863","authenticated-orcid":true,"given":"Mengxing","family":"Yao","sequence":"additional","affiliation":[{"name":"Department of Respiratory and Critical Care Medicine, The Second Hospital of Anhui Medical University, Anhui, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","reference":[{"key":"1","doi-asserted-by":"publisher","DOI":"10.1016\/j.coi.2020.10.005"},{"key":"2","doi-asserted-by":"publisher","DOI":"10.1183\/13993003.00583-2015"},{"key":"3","doi-asserted-by":"publisher","DOI":"10.3389\/fimmu.2018.02346"},{"key":"4","doi-asserted-by":"publisher","DOI":"10.1016\/j.rmed.2018.06.029"},{"key":"5","doi-asserted-by":"publisher","DOI":"10.1111\/cea.12141"},{"key":"6","doi-asserted-by":"publisher","DOI":"10.2500\/aap.2019.40.4262"},{"key":"7","doi-asserted-by":"publisher","DOI":"10.1159\/000489474"},{"key":"8","doi-asserted-by":"publisher","DOI":"10.5603\/ARM.2019.0061"},{"key":"9","doi-asserted-by":"publisher","DOI":"10.1007\/s00261-020-02832-9"},{"key":"10","doi-asserted-by":"publisher","DOI":"10.1080\/17517575.2020.1864022"},{"key":"11","doi-asserted-by":"publisher","DOI":"10.1016\/j.energy.2019.06.051"},{"key":"12","doi-asserted-by":"publisher","DOI":"10.1080\/17517575.2020.1856424"},{"key":"13","doi-asserted-by":"publisher","DOI":"10.23736\/S1824-4785.19.03192-3"},{"key":"14","doi-asserted-by":"publisher","DOI":"10.1086\/525258"},{"key":"15","doi-asserted-by":"publisher","DOI":"10.3390\/pathogens10101303"},{"key":"16","doi-asserted-by":"publisher","DOI":"10.4103\/ijmr.IJMR_1187_19"},{"key":"17","doi-asserted-by":"publisher","DOI":"10.1016\/j.jaci.2017.07.048"},{"key":"18","doi-asserted-by":"publisher","DOI":"10.3389\/fmicb.2021.633696"},{"key":"19","doi-asserted-by":"publisher","DOI":"10.1016\/j.cyto.2016.08.013"},{"key":"20","doi-asserted-by":"publisher","DOI":"10.1111\/myc.13388"},{"key":"21","doi-asserted-by":"publisher","DOI":"10.1067\/j.cpradiol.2015.07.006"},{"key":"22","doi-asserted-by":"publisher","DOI":"10.1111\/cea.13216"},{"key":"23","doi-asserted-by":"publisher","DOI":"10.1128\/mSphere.01250-20"},{"key":"24","doi-asserted-by":"publisher","DOI":"10.1002\/eji.201948411"},{"key":"25","doi-asserted-by":"publisher","DOI":"10.1016\/j.amjmed.2020.02.025"},{"key":"26","doi-asserted-by":"publisher","DOI":"10.1055\/s-0039-3401990"},{"key":"27","doi-asserted-by":"publisher","DOI":"10.1016\/j.jaci.2020.08.029"},{"key":"28","doi-asserted-by":"publisher","DOI":"10.1007\/s40121-020-00315-4"},{"key":"29","doi-asserted-by":"publisher","DOI":"10.21037\/tlcr.2017.01.04"},{"key":"30","doi-asserted-by":"publisher","DOI":"10.1016\/j.cmpb.2021.106263"},{"issue":"1, article 106332","key":"31","article-title":"Comparative analysis of pulmonary nodules segmentation using multiscale residual u-net and fuzzy c-means clustering","volume":"209","author":"J. 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