{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,27]],"date-time":"2026-02-27T04:14:44Z","timestamp":1772165684338,"version":"3.50.1"},"reference-count":23,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2022,2,6]],"date-time":"2022-02-06T00:00:00Z","timestamp":1644105600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"},{"start":{"date-parts":[[2022,2,6]],"date-time":"2022-02-06T00:00:00Z","timestamp":1644105600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["BMC Med Imaging"],"published-print":{"date-parts":[[2022,12]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Objective<\/jats:title>\n                    <jats:p>The purpose of this study was to compare imaging features between COVID-19 and mycoplasma pneumonia (MP).<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Materials and methods<\/jats:title>\n                    <jats:p>The data of patients with mild COVID-19 and MP who underwent chest computed tomography (CT) examination from February 1, 2020 to April 17, 2020 were retrospectively analyzed. The Pneumonia-CT-LKM-PP model based on a deep learning algorithm was used to automatically quantify the number, volume, and involved lobes of pulmonary lesions, and longitudinal changes in quantitative parameters were assessed in three CT follow-ups.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      A total of 10 patients with mild COVID-19 and 13 patients with MP were included in this study. There was no difference in lymphocyte counts at baseline between the two groups (1.43\u2009\u00b1\u20090.45 vs. 1.44\u2009\u00b1\u20090.50,\n                      <jats:italic>p<\/jats:italic>\n                      \u2009=\u20090.279). C-reactive protein levels were significantly higher in MP group than in COVID-19 group (\n                      <jats:italic>p<\/jats:italic>\n                      \u2009&lt;\u20090.05). The number, volume, and involved lobes of pulmonary lesions reached a peak in 7\u201314\u00a0days in the COVID-19 group, but there was no peak or declining trend over time in the MP group (\n                      <jats:italic>p<\/jats:italic>\n                      \u2009&lt;\u20090.05).\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>Based on the longitudinal changes of quantitative CT, pulmonary lesions peaked at 7\u201314\u00a0days in patients with COVID-19, and this may be useful to distinguish COVID-19 from MP and evaluate curative effects and prognosis.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1186\/s12880-022-00750-4","type":"journal-article","created":{"date-parts":[[2022,2,6]],"date-time":"2022-02-06T06:02:16Z","timestamp":1644127336000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Quantitative CT comparison between COVID-19 and mycoplasma pneumonia suspected as COVID-19: a longitudinal study"],"prefix":"10.1186","volume":"22","author":[{"given":"Junzhong","family":"Liu","sequence":"first","affiliation":[]},{"given":"Yuzhen","family":"Wang","sequence":"additional","affiliation":[]},{"given":"Guanghui","family":"He","sequence":"additional","affiliation":[]},{"given":"Xinhua","family":"Wang","sequence":"additional","affiliation":[]},{"given":"Minfeng","family":"Sun","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2022,2,6]]},"reference":[{"key":"750_CR1","unstructured":"Coronavirus disease (COVID-2019) situation reports. https:\/\/www.who.int\/emergencies\/diseases\/novel-coronavirus-2019\/situation-reports."},{"key":"750_CR2","doi-asserted-by":"publisher","DOI":"10.1007\/s00330-020-06934-2","author":"B Xu","year":"2020","unstructured":"Xu B, Xing Y, Peng J, Zheng Z, Tang W, Sun Y, et al. Chest CT for detecting COVID-19: a systematic review and meta-analysis of diagnostic accuracy. Eur Radiol. 2020. https:\/\/doi.org\/10.1007\/s00330-020-06934-2.","journal-title":"Eur Radiol"},{"issue":"1112","key":"750_CR3","doi-asserted-by":"publisher","first-page":"20200243","DOI":"10.1259\/bjr.20200243","volume":"93","author":"S Xie","year":"2020","unstructured":"Xie S, Lei Z, Chen X, Liu W, Wang X, Dong Y, et al. Chest CT-based differential diagnosis of 28 patients with suspected corona virus disease 2019 (COVID-19). Br J Radiol. 2020;93(1112):20200243. https:\/\/doi.org\/10.1259\/bjr.20200243.","journal-title":"Br J Radiol"},{"issue":"3","key":"750_CR4","doi-asserted-by":"publisher","first-page":"719","DOI":"10.1007\/s00330-005-0026-z","volume":"16","author":"I Lee","year":"2006","unstructured":"Lee I, Kim TS, Yoon HK. Mycoplasma pneumoniae pneumonia: CT features in 16 patients. Eur Radiol. 2006;16(3):719\u201325. https:\/\/doi.org\/10.1007\/s00330-005-0026-z.","journal-title":"Eur Radiol"},{"key":"750_CR5","doi-asserted-by":"publisher","first-page":"7","DOI":"10.1186\/1471-2342-9-7","volume":"9","author":"N Miyashita","year":"2009","unstructured":"Miyashita N, Sugiu T, Kawai Y, Oda K, Yamaguchi T, Ouchi K, et al. Radiographic features of Mycoplasma pneumoniae pneumonia: differential diagnosis and performance timing. BMC Med Imaging. 2009;9:7. https:\/\/doi.org\/10.1186\/1471-2342-9-7.","journal-title":"BMC Med Imaging"},{"issue":"1","key":"750_CR6","doi-asserted-by":"publisher","first-page":"37","DOI":"10.2214\/ajr.174.1.1740037","volume":"174","author":"P Reittner","year":"2000","unstructured":"Reittner P, M\u00fcller NL, Heyneman L, Johkoh T, Park JS, Lee KS, et al. Mycoplasma pneumoniae pneumonia: radiographic and high-resolution CT features in 28 patients. Am J Roentgenol. 2000;174(1):37\u201341. https:\/\/doi.org\/10.2214\/ajr.174.1.1740037.","journal-title":"Am J Roentgenol"},{"issue":"1","key":"750_CR7","doi-asserted-by":"publisher","first-page":"330","DOI":"10.1148\/radiol.2381040088","volume":"238","author":"A Nambu","year":"2006","unstructured":"Nambu A, Saito A, Araki T, Ozawa K, Hiejima Y, Akao M, et al. Chlamydia pneumoniae: comparison with findings of Mycoplasma pneumoniae and Streptococcus pneumoniae at thin-section CT. Radiology. 2006;238(1):330\u20138. https:\/\/doi.org\/10.1148\/radiol.2381040088.","journal-title":"Radiology"},{"key":"750_CR8","doi-asserted-by":"publisher","DOI":"10.1148\/radiol.2020201178","author":"AMV Dad\u00e1rio","year":"2020","unstructured":"Dad\u00e1rio AMV, Paiva JPQ, Chate RC, Machado BS, Szarf G. Artificial intelligence distinguishes COVID-19 from community acquired pneumonia on chest CT. Radiology. 2020. https:\/\/doi.org\/10.1148\/radiol.2020201178.","journal-title":"Radiology"},{"issue":"5","key":"750_CR9","doi-asserted-by":"publisher","first-page":"500","DOI":"10.1007\/s11547-020-01195-x","volume":"125","author":"MP Belfiore","year":"2020","unstructured":"Belfiore MP, Urraro F, Grassi R, Giacobbe G, Patelli G, Cappabianca S, et al. Artificial intelligence to codify lung CT in Covid-19 patients. Radiology. 2020;125(5):500\u20134. https:\/\/doi.org\/10.1007\/s11547-020-01195-x.","journal-title":"Radiology"},{"issue":"5","key":"750_CR10","doi-asserted-by":"publisher","first-page":"505","DOI":"10.1007\/s11547-020-01197-9","volume":"125","author":"E Neri","year":"2020","unstructured":"Neri E, Miele V, Coppola F, Grassi R. Use of CT and artificial intelligence in suspected or COVID-19 positive patients: statement of the Italian Society of Medical and Interventional Radiology. Radiology. 2020;125(5):505\u20138. https:\/\/doi.org\/10.1007\/s11547-020-01197-9.","journal-title":"Radiology"},{"key":"750_CR11","unstructured":"https:\/\/aistudio.baidu.com\/aistudio\/projectDetail\/289819."},{"key":"750_CR12","unstructured":"https:\/\/github.com\/PaddlePaddle\/PaddleHub\/blob\/release\/v1.6\/LICENSE."},{"key":"750_CR13","doi-asserted-by":"publisher","DOI":"10.1148\/radiol.2020202708","author":"K De Smet","year":"2020","unstructured":"De Smet K, De Smet D, Ryckaert T, Laridon E, Heremans B, Vandebulcke R, et al. Diagnostic performance of chest CT for SARS-CoV-2 infection in individuals with or without COVID-19 symptoms. Radiology. 2020. https:\/\/doi.org\/10.1148\/radiol.2020202708.","journal-title":"Radiology"},{"issue":"10223","key":"750_CR14","doi-asserted-by":"publisher","first-page":"497","DOI":"10.1016\/S0140-6736(20)30183-5","volume":"395","author":"C Huang","year":"2020","unstructured":"Huang C, Wang Y, Li X, Ren L, Zhao J, Hu Y, et al. Clinical features of patients infected with 2019 novel coronavirus in Wuhan. China Lancet. 2020;395(10223):497\u2013506. https:\/\/doi.org\/10.1016\/S0140-6736(20)30183-5.","journal-title":"China Lancet"},{"issue":"2","key":"750_CR15","doi-asserted-by":"publisher","first-page":"e200075","DOI":"10.1148\/ryct.2020200075","volume":"2","author":"L Huang","year":"2020","unstructured":"Huang L, Han R, Ai T, Yu P, Kang H, Tao Q, et al. Serial quantitative chest CT assessment of COVID-19: deep-learning approach. Radiol Cardiothorac Imaging. 2020;2(2):e200075. https:\/\/doi.org\/10.1148\/ryct.2020200075.","journal-title":"Radiol Cardiothorac Imaging."},{"key":"750_CR16","doi-asserted-by":"publisher","first-page":"200370","DOI":"10.1148\/radiol.2020200370","volume":"13","author":"F Pan","year":"2020","unstructured":"Pan F, Ye T, Sun P, Gui S, Liang B, Li L, et al. Time course of lung changes on chest CT during recovery from 2019 novel coronavirus (COVID-19) pneumonia. Radiology. 2020;13:200370. https:\/\/doi.org\/10.1148\/radiol.2020200370.","journal-title":"Radiology"},{"issue":"2","key":"750_CR17","doi-asserted-by":"publisher","first-page":"e55","DOI":"10.1148\/radiol.2020200843","volume":"296","author":"Y Wang","year":"2020","unstructured":"Wang Y, Dong C, Hu Y, Li C, Ren Q, Zhang X, et al. Temporal changes of CT findings in 90 patients with COVID-19 pneumonia: a longitudinal study. Radiology. 2020;296(2):e55\u201364. https:\/\/doi.org\/10.1148\/radiol.2020200843.","journal-title":"Radiology"},{"key":"750_CR18","doi-asserted-by":"publisher","unstructured":"Caruso D, Zerunian M, Polici M, Pucciarelli F, Polodori T, RucciC, et al. Chest CT Features of COVID-19 in Rome, Italy. Radiology. 2020;296(2): e79-E85. https:\/\/doi.org\/10.1148\/radiol.2020201237.","DOI":"10.1148\/radiol.2020201237."},{"key":"750_CR19","doi-asserted-by":"publisher","first-page":"108972","DOI":"10.1016\/j.ejrad.2020.108972","volume":"126","author":"Z Chen","year":"2020","unstructured":"Chen Z, Fan H, Cai J, Li Y, Wu B, Hou Y, et al. High-resolution computed tomography manifestations of COVID-19 infections in patients of different ages. Eur J Radiol. 2020;126:108972. https:\/\/doi.org\/10.1016\/j.ejrad.2020.108972.","journal-title":"Eur J Radiol"},{"issue":"5","key":"750_CR20","doi-asserted-by":"publisher","first-page":"537","DOI":"10.3348\/kjr.2020.0181","volume":"21","author":"F Shi","year":"2020","unstructured":"Shi F, Yu Q, Huang W, Tan C. 2019 Novel coronavirus (COVID-19) pneumonia with hemoptysis as the initial symptom: CT and clinical features. Korean J Radiol. 2020;21(5):537\u201340. https:\/\/doi.org\/10.3348\/kjr.2020.0181.","journal-title":"Korean J Radiol"},{"issue":"6","key":"750_CR21","doi-asserted-by":"publisher","first-page":"1287","DOI":"10.2214\/AJR.20.22975","volume":"214","author":"S Zhou","year":"2020","unstructured":"Zhou S, Wang Y, Zhu T, Xia L. CT features of coronavirus disease 2019 (COVID-19) pneumonia in 62 patients in Wuhan, China. Am J Roentgenol. 2020;214(6):1287\u201394. https:\/\/doi.org\/10.2214\/AJR.20.22975.","journal-title":"Am J Roentgenol"},{"key":"750_CR22","doi-asserted-by":"publisher","first-page":"109009","DOI":"10.1016\/j.ejrad.2020.109009","volume":"127","author":"X Ding","year":"2020","unstructured":"Ding X, Xu J, Zhou J, Long Q. Chest CT findings of COVID-19 pneumonia by duration of symptoms. Eur J Radiol. 2020;127:109009. https:\/\/doi.org\/10.1016\/j.ejrad.2020.109009.","journal-title":"Eur J Radiol"},{"issue":"1","key":"750_CR23","doi-asserted-by":"publisher","first-page":"121","DOI":"10.2214\/AJR.20.22959","volume":"215","author":"Z Cheng","year":"2020","unstructured":"Cheng Z, Lu Y, Cao Q, Qin L, Pan Z, Yan F, et al. Clinical features and chest CT manifestations of coronavirus disease 2019 (COVID-19) in a single-center study in Shanghai, China. Am J Roentgenol. 2020;215(1):121\u20136. https:\/\/doi.org\/10.2214\/AJR.20.22959.","journal-title":"Am J Roentgenol"}],"container-title":["BMC Medical Imaging"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1186\/s12880-022-00750-4.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1186\/s12880-022-00750-4\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1186\/s12880-022-00750-4.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,2,6]],"date-time":"2022-02-06T06:02:21Z","timestamp":1644127341000},"score":1,"resource":{"primary":{"URL":"https:\/\/bmcmedimaging.biomedcentral.com\/articles\/10.1186\/s12880-022-00750-4"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,2,6]]},"references-count":23,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2022,12]]}},"alternative-id":["750"],"URL":"https:\/\/doi.org\/10.1186\/s12880-022-00750-4","relation":{"has-preprint":[{"id-type":"doi","id":"10.21203\/rs.3.rs-955817\/v1","asserted-by":"object"}]},"ISSN":["1471-2342"],"issn-type":[{"value":"1471-2342","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,2,6]]},"assertion":[{"value":"5 October 2021","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"1 February 2022","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"6 February 2022","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"This study was conducted in accordance with the declaration of Helsinki. This study was approved by the Ethics Committee of Weifang No. 2 People's Hospital (The Second affiliated Hospital of Weifang Medical University). Because this was a retrospective study, informed consent was waived by the Ethics Committee of Weifang No. 2 People's Hospital (The Second affiliated Hospital of Weifang Medical University).","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethics approval and consent to participate"}},{"value":"We have obtained consent to publish from the participants (or legal parent or guardian) to report their individual patient data.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Consent for publication"}},{"value":"The authors declare that they have no competing interests.","order":4,"name":"Ethics","group":{"name":"EthicsHeading","label":"Competing interests"}}],"article-number":"21"}}