{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T00:46:06Z","timestamp":1760143566289,"version":"build-2065373602"},"reference-count":20,"publisher":"MDPI AG","issue":"5","license":[{"start":{"date-parts":[[2024,2,20]],"date-time":"2024-02-20T00:00:00Z","timestamp":1708387200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Diagnostics"],"abstract":"<jats:p>Technology is making giant strides and is increasingly improving the diagnostic imaging of both frequent and rare acute and chronic diseases [...]<\/jats:p>","DOI":"10.3390\/diagnostics14050461","type":"journal-article","created":{"date-parts":[[2024,2,20]],"date-time":"2024-02-20T11:50:07Z","timestamp":1708429807000},"page":"461","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Editorial for the Special Issue \u201cCardiothoracic Imaging: Recent Techniques and Applications in Diagnostics\u201d"],"prefix":"10.3390","volume":"14","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9518-9744","authenticated-orcid":false,"given":"Giacomo","family":"Sica","sequence":"first","affiliation":[{"name":"Department of Radiology, Azienda Ospedaliera dei Colli, Monaldi Hospital, 80131 Naples, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5846-7872","authenticated-orcid":false,"given":"Gaetano","family":"Rea","sequence":"additional","affiliation":[{"name":"Department of Radiology, Azienda Ospedaliera dei Colli, Monaldi Hospital, 80131 Naples, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0910-8064","authenticated-orcid":false,"given":"Mariano","family":"Scaglione","sequence":"additional","affiliation":[{"name":"Department of Medicine, Surgery and Pharmacy, University of Sassari, 07100 Sassari, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2024,2,20]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Si-Mohamed, S.A., Miailhes, J., Rodesch, P.-A., Boccalini, S., Lacombe, H., Leitman, V., Cottin, V., and Douek, P. (2021). Spectral Photon-Counting CT Technology in Chest Imaging. J. Clin. Med., 10.","DOI":"10.3390\/jcm10245757"},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"482","DOI":"10.1097\/RLI.0000000000000968","article-title":"Ultra-High-Resolution Photon-Counting CT Imaging of the Chest A New Era for Morphology and Function","volume":"58","author":"Hutt","year":"2023","journal-title":"Investig. Radiol."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"1222","DOI":"10.1007\/s00259-019-04300-z","article-title":"Digital PET\/CT: A new intriguing chance for clinical nuclear medicine and personalized molecular imaging","volume":"46","author":"Schillaci","year":"2019","journal-title":"Eur. J. Nucl. Med. Mol. Imaging"},{"key":"ref_4","first-page":"1","article-title":"Photon-counting detector CT: Improving interstitial lung disease classification using ultra-high resolution at a fraction of the radiation dose?","volume":"18","author":"Rajendran","year":"2023","journal-title":"Eur. Radiol."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"922","DOI":"10.1007\/s11547-023-01658-x","article-title":"Radiomics applications in cardiac imaging: A comprehensive review","volume":"128","author":"Polidori","year":"2023","journal-title":"Radiol. Med."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"180202","DOI":"10.1038\/sdata.2018.202","article-title":"A radiogenomic dataset of non-small cell lung cancer","volume":"16","author":"Bakr","year":"2018","journal-title":"Sci. Data"},{"key":"ref_7","doi-asserted-by":"crossref","unstructured":"Amini, M., Zayeri, F., and Salehi, M. (2021). Trend analysis of cardiovascular disease mortality, incidence, and mortality-to-incidence ratio: Results from global burden of disease study 2017. BMC Public Health, 21.","DOI":"10.1186\/s12889-021-10429-0"},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"2361","DOI":"10.1016\/j.jacc.2022.11.005","article-title":"The Global Burden of Cardiovascular Diseases and Risk: A Compass for Future Health","volume":"80","author":"Vaduganathan","year":"2022","journal-title":"J. Am. Coll. Cardiol."},{"key":"ref_9","unstructured":"International Agency for Research on Cancer (2023, January 03). World Health Organization. Available online: https:\/\/www.who.int\/news-room\/fact-sheets\/detail\/cancer."},{"key":"ref_10","unstructured":"World Health Organization (2002). Global Initiative for Chronic Obstructive Lung Disease, World Health Organization."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"122","DOI":"10.1186\/1465-9921-11-122","article-title":"Characterization of COPD heterogeneity in the ECLIPSE cohort","volume":"11","author":"Agusti","year":"2010","journal-title":"Respir. Res."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"155","DOI":"10.1164\/rccm.201201-0034OC","article-title":"Cocomorbidities and risk of mortality in patients with chronic obstructive pulmonary disease","volume":"186","author":"Divo","year":"2012","journal-title":"Am. J. Respir Crit. Care Med."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"D74","DOI":"10.1016\/S0002-9149(99)80405-6","article-title":"The evolving role of MRI in the assessment of coronary artery disease","volume":"75","author":"Blackwell","year":"1995","journal-title":"Am. J. Cardiol."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"267","DOI":"10.1016\/S0733-8651(05)70012-6","article-title":"Integrated approach to ischemic heart disease. The one-stop shop","volume":"16","author":"Kramer","year":"1998","journal-title":"Cardiol. Clin."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"1560","DOI":"10.1016\/j.jacc.2022.08.743","article-title":"Advances in Multimodality Imaging in Cardio-Oncology: JACC State-of-the-Art Review","volume":"80","author":"Baldassarre","year":"2022","journal-title":"J. Am. Coll. Cardiol."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"1349","DOI":"10.1002\/jmri.26895","article-title":"MRI in cardio-oncology: A review of cardiac complications in oncologic care","volume":"50","author":"Jeong","year":"2019","journal-title":"J. Magn. Reason. Imaging"},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"1399","DOI":"10.1007\/s00259-021-05341-z","article-title":"Position paper of the EACVI and EANM on artificial intelligence applications in multimodality cardiovascular imaging using SPECT\/CT, PET\/CT, and cardiac CT","volume":"48","author":"Slart","year":"2021","journal-title":"Eur. J. Nucl. Med. Mol. Imaging"},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"2221","DOI":"10.1007\/s10554-023-02927-6","article-title":"Cardiovascular magnetic resonance (CMR) and positron emission tomography (PET) imaging in the diagnosis and follow-up of patients with acute myocarditis and chronic inflammatory cardiomyopathy: A review paper with practical recommendations on behalf of the Europeopean Society of Cardiovascular Radiology (ESCR)","volume":"39","author":"Caobelli","year":"2023","journal-title":"Int. J. Cardiovasc. Imaging"},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"100324","DOI":"10.1016\/j.ejro.2021.100324","article-title":"Dual energy imaging in cardiothoracic pathologies: A primer for radiologists and clinicians","volume":"8","author":"Gupta","year":"2021","journal-title":"Eur. J. Radiol Open"},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"e230681","DOI":"10.1148\/radiol.230681","article-title":"Generative Adversarial Network\u2013based Noncontrast CT Angiography for Aorta and Carotid Arteries","volume":"309","author":"Lyu","year":"2023","journal-title":"Radiology"}],"container-title":["Diagnostics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2075-4418\/14\/5\/461\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T14:01:50Z","timestamp":1760104910000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2075-4418\/14\/5\/461"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,2,20]]},"references-count":20,"journal-issue":{"issue":"5","published-online":{"date-parts":[[2024,3]]}},"alternative-id":["diagnostics14050461"],"URL":"https:\/\/doi.org\/10.3390\/diagnostics14050461","relation":{},"ISSN":["2075-4418"],"issn-type":[{"type":"electronic","value":"2075-4418"}],"subject":[],"published":{"date-parts":[[2024,2,20]]}}}