{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T20:58:17Z","timestamp":1790888297758,"version":"4.1.0"},"reference-count":15,"publisher":"Elsevier BV","issue":"10","license":[{"start":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T00:00:00Z","timestamp":1790812800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T00:00:00Z","timestamp":1790812800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"}],"content-domain":{"domain":["academicradiology.org","clinicalkey.com","clinicalkey.com.au","clinicalkey.es","clinicalkey.fr","clinicalkey.jp","elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Academic Radiology"],"published-print":{"date-parts":[[2026,10]]},"DOI":"10.1016\/j.acra.2026.06.048","type":"journal-article","created":{"date-parts":[[2026,8,3]],"date-time":"2026-08-03T19:44:36Z","timestamp":1785786276000},"page":"4583-4592","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":0,"title":["A Multimodal Ultrasound Radiomics Model Integrating Contrast-Enhanced Phases: Retrospective Temporal Test Cohort Evaluation and Comparison with Sonographers for Cervical Lymph Node Characterization"],"prefix":"10.1016","volume":"33","author":[{"given":"Mingru","family":"Gao","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Qian","family":"Lv","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Haohao","family":"Hao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ning","family":"Zhao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yuping","family":"Guo","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6985-3253","authenticated-orcid":false,"given":"Kuo","family":"Miao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"issue":"9","key":"10.1016\/j.acra.2026.06.048_bib1","doi-asserted-by":"crossref","first-page":"1649","DOI":"10.21037\/gs-2024-576","article-title":"Development and validation of deep learning models for qualitative classification of benign and malignant enlarged cervical lymph nodes based on ultrasound images","volume":"14","author":"Yuan","year":"2025","journal-title":"Gland Surg"},{"key":"10.1016\/j.acra.2026.06.048_bib2","article-title":"Ultrasound-based radiomics can classify the etiology of cervical lymphadenopathy: a multi-center retrospective study","volume":"12","author":"Liu","year":"2022","journal-title":"Front Oncol"},{"issue":"1","key":"10.1016\/j.acra.2026.06.048_bib3","doi-asserted-by":"crossref","DOI":"10.1038\/s41598-022-11542-9","article-title":"Contrast-enhanced ultrasound (CEUS) in characterization of inconclusive cervical lymph nodes: a meta-analysis and systematic review","volume":"12","author":"Spiesecke","year":"2022","journal-title":"Sci Rep"},{"issue":"3","key":"10.1016\/j.acra.2026.06.048_bib4","doi-asserted-by":"crossref","first-page":"407","DOI":"10.3892\/ol.2025.15153","article-title":"Diagnostic performance of contrast-enhanced ultrasound vs. conventional ultrasound for lymph node metastasis in patients with thyroid cancer: a\u00a0meta-analysis","volume":"30","author":"Gao","year":"2025","journal-title":"Oncol Lett"},{"issue":"1","key":"10.1016\/j.acra.2026.06.048_bib5","first-page":"60","article-title":"The value of contrast\u2010enhanced ultrasound for the diagnosis of metastatic cervical lymph nodes of papillary thyroid carcinoma: a\u00a0systematic review and meta\u2010analysis","volume":"50","author":"Li","year":"2021","journal-title":"J\u00a0Clin\u00a0Ultrasound"},{"issue":"4","key":"10.1016\/j.acra.2026.06.048_bib6","doi-asserted-by":"crossref","DOI":"10.1148\/radiol.221265","article-title":"Lymphatic contrast-enhanced US to improve the diagnosis of cervical lymph node metastasis from thyroid cancer","volume":"307","author":"Zhang","year":"2023","journal-title":"Radiology"},{"issue":"9","key":"10.1016\/j.acra.2026.06.048_bib7","doi-asserted-by":"crossref","first-page":"6362","DOI":"10.21037\/qims-24-658","article-title":"Quantitative and qualitative analysis of contrast-enhanced ultrasound for differentiating benign and malignant superficial enlarged lymph nodes","volume":"14","author":"Yue","year":"2024","journal-title":"Quant Imaging Med Surg"},{"issue":"2","key":"10.1016\/j.acra.2026.06.048_bib8","doi-asserted-by":"crossref","first-page":"774","DOI":"10.1007\/s00330-022-09122-6","article-title":"Using ultrasound radiomics analysis to diagnose cervical lymph node metastasis in patients with nasopharyngeal carcinoma","volume":"33","author":"Lin","year":"2022","journal-title":"Eur Radiol"},{"issue":"8","key":"10.1016\/j.acra.2026.06.048_bib9","doi-asserted-by":"crossref","first-page":"1437","DOI":"10.21037\/gs-24-98","article-title":"Contrast-enhanced ultrasound image sequences based on radiomics analysis for diagnosis of metastatic cervical lymph nodes from thyroid cancer","volume":"13","author":"Zhao","year":"2024","journal-title":"Gland Surg"},{"issue":"5","key":"10.1016\/j.acra.2026.06.048_bib10","first-page":"1248","article-title":"LN-Net: perfusion pattern-guided deep learning for lymph node metastasis diagnosis based on contrast-enhanced ultrasound videos","volume":"49","author":"Yu","year":"2023","journal-title":"Ultrasound\u00a0Med\u00a0Biol"},{"key":"10.1016\/j.acra.2026.06.048_bib11","article-title":"Ultrasound-based artificial intelligence for predicting cervical lymph node metastasis in papillary thyroid cancer: a systematic review and meta-analysis","volume":"16","author":"Wang","year":"2025","journal-title":"Front Endocrinol"},{"key":"10.1016\/j.acra.2026.06.048_bib12","doi-asserted-by":"crossref","DOI":"10.1136\/bmj-2023-078378","article-title":"TRIPOD+AI statement: updated guidance for reporting clinical prediction models that use regression or machine learning methods","author":"Collins","year":"2024","journal-title":"BMJ"},{"key":"10.1016\/j.acra.2026.06.048_bib13","doi-asserted-by":"crossref","DOI":"10.1136\/bmj-2024-082505","article-title":"PROBAST+AI: an updated quality, risk of bias, and applicability assessment tool for prediction models using regression or artificial intelligence methods","volume":"388","author":"Moons","year":"2025","journal-title":"BMJ"},{"issue":"10","key":"10.1016\/j.acra.2026.06.048_bib14","doi-asserted-by":"crossref","first-page":"2773","DOI":"10.1007\/s00432-022-04047-5","article-title":"Deep learning combined with radiomics for the classification of enlarged cervical lymph nodes","volume":"148","author":"Zhang","year":"2022","journal-title":"J Cancer Res Clin Oncol"},{"issue":"1","key":"10.1016\/j.acra.2026.06.048_bib15","article-title":"Diagnostic value of high-frame-rate contrast-enhanced ultrasound and contrast vector imaging for superficial lymph node lesions","volume":"25","author":"Li","year":"2025","journal-title":"BMC Cancer"}],"container-title":["Academic Radiology"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1076633226004630?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1076633226004630?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T20:27:58Z","timestamp":1790886478000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S1076633226004630"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,10]]},"references-count":15,"journal-issue":{"issue":"10","published-print":{"date-parts":[[2026,10]]}},"alternative-id":["S1076633226004630"],"URL":"https:\/\/doi.org\/10.1016\/j.acra.2026.06.048","relation":{},"ISSN":["1076-6332"],"issn-type":[{"value":"1076-6332","type":"print"}],"subject":[],"published":{"date-parts":[[2026,10]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"A Multimodal Ultrasound Radiomics Model Integrating Contrast-Enhanced Phases: Retrospective Temporal Test Cohort Evaluation and Comparison with Sonographers for Cervical Lymph Node Characterization","name":"articletitle","label":"Article Title"},{"value":"Academic Radiology","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.acra.2026.06.048","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2026 The Association of Academic Radiology. Published by Elsevier Inc. All rights are reserved, including those for text and data mining, AI training, and similar technologies.","name":"copyright","label":"Copyright"}]}}