{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,28]],"date-time":"2026-10-28T03:38:23Z","timestamp":1793158703815,"version":"4.5.0"},"reference-count":35,"publisher":"Springer Science and Business Media LLC","license":[{"start":{"date-parts":[[2026,8,26]],"date-time":"2026-08-26T00:00:00Z","timestamp":1787702400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2026,8,26]],"date-time":"2026-08-26T00:00:00Z","timestamp":1787702400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["J Digit Imaging. Inform. med."],"DOI":"10.1007\/s10278-026-02238-x","type":"journal-article","created":{"date-parts":[[2026,8,26]],"date-time":"2026-08-26T16:47:45Z","timestamp":1787762865000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Incremental Value of Perivascular Adipose Tissue Radiomics for Non-contrast CT-Based Detection of Aortic Dissection: a Multicenter Study"],"prefix":"10.1007","author":[{"given":"Jingkai","family":"Xu","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Haotian","family":"Wei","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Weirui","family":"Qian","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Qing","family":"Jia","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhongjie","family":"Zhou","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiaohan","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hanzhe","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jinjin","family":"Liu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9450-2690","authenticated-orcid":false,"given":"Guoquan","family":"Cao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2026,8,26]]},"reference":[{"key":"2238_CR1","doi-asserted-by":"crossref","unstructured":"Isselbacher EM, et al.: 2022 ACC\/AHA Guideline for the Diagnosis and Management of Aortic Disease: A Report of the American Heart Association\/American College of Cardiology Joint Committee on Clinical Practice Guidelines. Circulation 146:e334-e482, 2022","DOI":"10.1161\/CIR.0000000000001097"},{"key":"2238_CR2","unstructured":"Erbel R, et al.: 2014 ESC Guidelines on the diagnosis and treatment of aortic diseases: Document covering acute and chronic aortic diseases of the thoracic and abdominal aorta of the adult. The Task Force for the Diagnosis and Treatment of Aortic Diseases of the European Society of Cardiology (ESC). Eur Heart J 35:2873\u20132926, 2014"},{"key":"2238_CR3","doi-asserted-by":"crossref","unstructured":"Vardhanabhuti V, et al.: Recommendations for accurate CT diagnosis of suspected acute aortic syndrome (AAS)--on behalf of the British Society of Cardiovascular Imaging (BSCI)\/British Society of Cardiovascular CT (BSCCT). Br J Radiol 89:20150705, 2016","DOI":"10.1259\/bjr.20150705"},{"key":"2238_CR4","doi-asserted-by":"crossref","unstructured":"Bae KT: Intravenous contrast medium administration and scan timing at CT: considerations and approaches. Radiology 256:32-61, 2010","DOI":"10.1148\/radiol.10090908"},{"key":"2238_CR5","doi-asserted-by":"crossref","unstructured":"Beckett KR, Moriarity AK, Langer JM: Safe Use of Contrast Media: What the Radiologist Needs to Know. Radiographics 35:1738-1750, 2015","DOI":"10.1148\/rg.2015150033"},{"key":"2238_CR6","doi-asserted-by":"crossref","unstructured":"Davenport MS, Chu P, Szczykutowicz TP, Smith-Bindman R: Comparison of Strategies to Conserve Iodinated Intravascular Contrast Media for Computed Tomography During a Shortage. JAMA 328:476-478, 2022","DOI":"10.1001\/jama.2022.9879"},{"key":"2238_CR7","doi-asserted-by":"crossref","unstructured":"Westfall AH, Garrett JS: Computed Tomography Imaging in Aortic Dissection. Clin Pract Cases Emerg Med 3:316-317, 2019","DOI":"10.5811\/cpcem.2019.5.42531"},{"key":"2238_CR8","doi-asserted-by":"crossref","unstructured":"Burris AC, 2nd, Boura JA, Raff GL, Chinnaiyan KM: Triple Rule Out Versus Coronary CT\u00a0Angiography in Patients With Acute\u00a0Chest Pain: Results From the ACIC Consortium. JACC Cardiovasc Imaging 8:817-825, 2015","DOI":"10.1016\/j.jcmg.2015.02.023"},{"key":"2238_CR9","doi-asserted-by":"crossref","unstructured":"Spangenberg A, Rao SJ, Mackrell J, Rimm S, Haas CJ: Type A Aortic Dissection and Non-Contrast Computed Tomography. J Community Hosp Intern Med Perspect 13:118-120, 2023","DOI":"10.55729\/2000-9666.1178"},{"key":"2238_CR10","doi-asserted-by":"crossref","unstructured":"Kurabayashi M, et al.: Diagnostic utility of unenhanced computed tomography for acute aortic syndrome. Circ J 78:1928-1934, 2014","DOI":"10.1253\/circj.CJ-14-0198"},{"key":"2238_CR11","doi-asserted-by":"crossref","unstructured":"Szasz T, Webb RC: Perivascular adipose tissue: more than just structural support. Clin Sci (Lond) 122:1-12, 2012","DOI":"10.1042\/CS20110151"},{"key":"2238_CR12","doi-asserted-by":"crossref","unstructured":"Qi XY, Qu SL, Xiong WH, Rom O, Chang L, Jiang ZS: Perivascular adipose tissue (PVAT) in atherosclerosis: a double-edged sword. Cardiovasc Diabetol 17:134, 2018","DOI":"10.1186\/s12933-018-0777-x"},{"key":"2238_CR13","doi-asserted-by":"crossref","unstructured":"Adachi Y, et al.: Prognostic Implications of the Periaortic Fat Attenuation Index in Uncomplicated Type B Aortic Dissection. Radiol Cardiothorac Imaging 7:e240521, 2025","DOI":"10.1148\/ryct.240521"},{"key":"2238_CR14","doi-asserted-by":"crossref","unstructured":"Lv R, et al.: Assessing abdominal aortic aneurysm growth using radiomic features of perivascular adipose tissue after endovascular repair. Insights Imaging 15:232, 2024","DOI":"10.1186\/s13244-024-01804-7"},{"key":"2238_CR15","doi-asserted-by":"crossref","unstructured":"Lambin P, et al.: Radiomics: extracting more information from medical images using advanced feature analysis. Eur J Cancer 48:441-446, 2012","DOI":"10.1016\/j.ejca.2011.11.036"},{"key":"2238_CR16","doi-asserted-by":"crossref","unstructured":"Gillies RJ, Kinahan PE, Hricak H: Radiomics: Images Are More than Pictures, They Are Data. Radiology 278:563-577, 2016","DOI":"10.1148\/radiol.2015151169"},{"key":"2238_CR17","doi-asserted-by":"crossref","unstructured":"Shafiq-ul-Hassan M, et al.: Intrinsic dependencies of CT radiomic features on voxel size and number of gray levels. Med Phys 44:1050-1062, 2017","DOI":"10.1002\/mp.12123"},{"key":"2238_CR18","doi-asserted-by":"crossref","unstructured":"Wasserthal J, et al.: TotalSegmentator: Robust Segmentation of 104 Anatomic Structures in CT Images. Radiology: Artificial Intelligence 5:e230024, 2023","DOI":"10.1148\/ryai.230024"},{"key":"2238_CR19","doi-asserted-by":"crossref","unstructured":"Long HY, Chen GD, Liu JL, Cheng KW, Yu WJ, Chen BQ: Local large arterial perivascular adipose tissue metabolic and anatomical features are associated with hypertensive clinical outcomes: a PET\/CT-based study. Ann Med 57:2578724, 2025","DOI":"10.1080\/07853890.2025.2578724"},{"key":"2238_CR20","doi-asserted-by":"crossref","unstructured":"Reis EP, et al.: Automated abdominal CT contrast phase detection using an interpretable and open-source artificial intelligence algorithm. Eur Radiol 34:6680-6687, 2024","DOI":"10.1007\/s00330-024-10769-6"},{"key":"2238_CR21","doi-asserted-by":"crossref","unstructured":"Baldini G, et al.: Addressing the Contrast Media Recognition Challenge: A Fully Automated Machine Learning Approach for Predicting Contrast Phases in CT Imaging. Invest Radiol 59:635-645, 2024","DOI":"10.1097\/RLI.0000000000001071"},{"key":"2238_CR22","doi-asserted-by":"crossref","unstructured":"Lee JGH, et al.: Survival benefit of a low ratio of visceral to subcutaneous adipose tissue depends on LDL clearance versus production in sepsis. Crit Care 22:58, 2018","DOI":"10.1186\/s13054-018-1985-1"},{"key":"2238_CR23","doi-asserted-by":"crossref","unstructured":"Huang S, Liu D, Deng K, Shu C, Wu Y, Zhou Z: A computed tomography angiography-based radiomics model for prognostic prediction of endovascular abdominal aortic repair. Int J Cardiol 429:133138, 2025","DOI":"10.1016\/j.ijcard.2025.133138"},{"key":"2238_CR24","doi-asserted-by":"crossref","unstructured":"Kotanidis CP, Antoniades C: Perivascular fat imaging by computed tomography (CT): a virtual guide. Br J Pharmacol 178:4270-4290, 2021","DOI":"10.1111\/bph.15634"},{"key":"2238_CR25","doi-asserted-by":"crossref","unstructured":"Hearst MA, Dumais ST, Osuna E, Platt J, Scholkopf B: Support vector machines. IEEE Intelligent Systems and their Applications 13:18-28, 1998","DOI":"10.1109\/5254.708428"},{"key":"2238_CR26","doi-asserted-by":"crossref","unstructured":"Chen T, Guestrin C: XGBoost: A Scalable Tree Boosting System, San Francisco, California, USA: Association for Computing Machinery, 2016","DOI":"10.1145\/2939672.2939785"},{"key":"2238_CR27","doi-asserted-by":"crossref","unstructured":"Breiman L: Random Forests. Machine Learning 45:5-32, 2001","DOI":"10.1023\/A:1010933404324"},{"key":"2238_CR28","doi-asserted-by":"crossref","unstructured":"Hameed I, Cifu AS, Vallabhajosyula P: Management of Thoracic Aortic Dissection. JAMA 329:756-757, 2023","DOI":"10.1001\/jama.2023.0265"},{"key":"2238_CR29","doi-asserted-by":"crossref","unstructured":"Pr\u00eatre R, Von Segesser LK: Aortic dissection. Lancet 349:1461-1464, 1997","DOI":"10.1016\/S0140-6736(96)09372-5"},{"key":"2238_CR30","doi-asserted-by":"crossref","unstructured":"Oikonomou EK, et al.: Non-invasive detection of coronary inflammation using computed tomography and prediction of residual cardiovascular risk (the CRISP CT study): a post-hoc analysis of prospective outcome data. Lancet 392:929-939, 2018","DOI":"10.1016\/S0140-6736(18)31114-0"},{"key":"2238_CR31","doi-asserted-by":"crossref","unstructured":"Antonopoulos AS, et al.: Detecting human coronary inflammation by imaging perivascular fat. Sci Transl Med 9, 2017","DOI":"10.1126\/scitranslmed.aal2658"},{"key":"2238_CR32","doi-asserted-by":"crossref","unstructured":"Goeller M, et al.: Pericoronary Adipose Tissue Computed Tomography Attenuation and High-Risk Plaque Characteristics in Acute Coronary Syndrome Compared With Stable Coronary Artery Disease. JAMA Cardiol 3:858-863, 2018","DOI":"10.1001\/jamacardio.2018.1997"},{"key":"2238_CR33","doi-asserted-by":"crossref","unstructured":"McCollough CH, et al.: Principles and applications of multienergy CT: Report of AAPM Task Group 291. Med Phys 47:e881-e912, 2020","DOI":"10.1002\/mp.14157"},{"key":"2238_CR34","doi-asserted-by":"crossref","unstructured":"Rajendran K, et al.: First Clinical Photon-counting Detector CT System: Technical Evaluation. Radiology 303:130-138, 2022","DOI":"10.1148\/radiol.212579"},{"key":"2238_CR35","doi-asserted-by":"crossref","unstructured":"Chen T, et al.: Assessment of perivascular adipose tissue attenuation using dual-layer spectral-detector CTA for identification of symptomatic carotid plaques. Japanese Journal of Radiology 43:1953-1961, 2025","DOI":"10.1007\/s11604-025-01850-1"}],"container-title":["Journal of Imaging Informatics in Medicine"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10278-026-02238-x.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s10278-026-02238-x","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10278-026-02238-x.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,8,26]],"date-time":"2026-08-26T16:47:48Z","timestamp":1787762868000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s10278-026-02238-x"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,8,26]]},"references-count":35,"alternative-id":["2238"],"URL":"https:\/\/doi.org\/10.1007\/s10278-026-02238-x","relation":{},"ISSN":["2948-2933"],"issn-type":[{"value":"2948-2933","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,8,26]]},"assertion":[{"value":"10 July 2026","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"8 August 2026","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"18 August 2026","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"26 August 2026","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"This study was performed in accordance with the Declaration of Helsinki. Approval was granted by the Ethics Committee of the First Affiliated Hospital of Wenzhou Medical University (approval no. KY2026-R130).","order":1,"name":"Ethics","label":"Ethics Approval","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The requirement for informed consent was waived by the Ethics Committee of the First Affiliated Hospital of Wenzhou Medical University because of the retrospective nature of the study.","order":2,"name":"Ethics","label":"Consent to Participate","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"Not applicable. The manuscript contains no identifiable individual participant information.","order":3,"name":"Ethics","label":"Consent for Publication","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors declare no competing interests.","order":4,"name":"Ethics","label":"Competing interests","group":{"name":"EthicsHeading","label":"Declarations"}}]}}