{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,10]],"date-time":"2026-10-10T07:11:07Z","timestamp":1791616267260,"version":"4.3.4"},"reference-count":24,"publisher":"Georg Thieme Verlag KG","issue":"04","license":[{"start":{"date-parts":[[2024,7,12]],"date-time":"2024-07-12T00:00:00Z","timestamp":1720742400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"funder":[{"name":"Bayer Academic Support","award":["BASJ20220418025"],"award-info":[{"award-number":["BASJ20220418025"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Indian J Radiol Imaging"],"published-print":{"date-parts":[[2024,10]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:p>\n          Objective\u2003This article evaluates the ability of low-energy (40\u2009keV) virtual monoenergetic images (VMIs) in the local diagnosis of cervical cancer compared with that of conventional computed tomography (C-CT) and magnetic resonance imaging (MRI), using clinicopathologic staging as a reference.<\/jats:p><jats:p>\n          Methods\u2003This prospective study included 33 patients with pathologically confirmed cervical cancer who underwent dual-energy CT and MRI between 2021 and 2022. The contrast-to-noise ratio (CNR) of the tumor-to-myometrium was compared between C-CT and VMI. Additionally, sensitivity, specificity, and area under the receiver operating characteristic curve (AUC) for each local diagnostic parameter were compared between C-CT, VMI, and MRI. Interradiologist agreement was also assessed.<\/jats:p><jats:p>\n          Results\u2003The mean CNR was significantly higher on VMI (p\u2009=\u20090.002). No significant difference in AUC was found between C-CT and VMI for all local diagnostic parameters, and the specificity of VMI was often significantly less than that of MRI. For parametrial invasion, mean sensitivity, specificity, and AUC for C-CT, VMI, and MRI were 0.81, 0.99, 0.93; 0.64, 0.35, 0.79; and 0.73, 0.67, 0.86, respectively, and MRI had significantly higher specificity and AUC than that of VMI (p\u2009=\u20090.013 and 0.008, respectively). Interradiologist agreement was higher for VMI than C-CT and for MRI than VMI.<\/jats:p><jats:p>\n          Conclusion\u2003The CNR of VMI was significantly higher than C-CT and interradiologist agreement was better than with C-CT; however, the overall diagnostic performance of VMI did not significantly differ from C-CT and was inferior to MRI. VMI was characterized by low specificity, which should be understood and used for reading.<\/jats:p>","DOI":"10.1055\/s-0044-1787780","type":"journal-article","created":{"date-parts":[[2024,7,12]],"date-time":"2024-07-12T23:08:25Z","timestamp":1720825705000},"page":"661-669","source":"Crossref","is-referenced-by-count":1,"title":["Diagnostic Imaging Performance of Dual-Energy Computed Tomography Compared with Conventional Computed Tomography and Magnetic Resonance Imaging for Uterine Cervical Cancer"],"prefix":"10.1055","volume":"34","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3113-141X","authenticated-orcid":false,"given":"Saki","family":"Shibuki","sequence":"additional","affiliation":[{"name":"Department of Radiology, University of Tsukuba Hospital, Tsukuba, Ibaraki, Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4530-7375","authenticated-orcid":false,"given":"Tsukasa","family":"Saida","sequence":"additional","affiliation":[{"name":"Department of Radiology, Institute of Medicine, University of Tsukuba, Tsukuba, Ibaraki, Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2599-0245","authenticated-orcid":false,"given":"Kensaku","family":"Mori","sequence":"additional","affiliation":[{"name":"Department of Radiology, Institute of Medicine, University of Tsukuba, Tsukuba, Ibaraki, Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5018-4248","authenticated-orcid":false,"given":"Toshitaka","family":"Ishiguro","sequence":"additional","affiliation":[{"name":"Department of Radiology, Institute of Medicine, University of Tsukuba, Tsukuba, Ibaraki, Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7321-980X","authenticated-orcid":false,"given":"Taishi","family":"Amano","sequence":"additional","affiliation":[{"name":"Department of Radiology, University of Tsukuba Hospital, Tsukuba, Ibaraki, Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9532-5411","authenticated-orcid":false,"given":"Miki","family":"Yoshida","sequence":"additional","affiliation":[{"name":"Department of Radiology, University of Tsukuba Hospital, Tsukuba, Ibaraki, Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0004-6401-2358","authenticated-orcid":false,"given":"Mariko","family":"Miyata","sequence":"additional","affiliation":[{"name":"Department of Radiology Technology, University of Tsukuba Hospital, Tsukuba, Ibaraki, Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6929-5463","authenticated-orcid":false,"given":"Toyomi","family":"Satoh","sequence":"additional","affiliation":[{"name":"Department of Obstetrics and Gynecology, Institute of Medicine, University of Tsukuba, Tsukuba, Ibaraki, Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6704-2297","authenticated-orcid":false,"given":"Takahito","family":"Nakajima","sequence":"additional","affiliation":[{"name":"Department of Radiology, Institute of Medicine, University of Tsukuba, Tsukuba, Ibaraki, Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"194","published-online":{"date-parts":[[2024,7,12]]},"reference":[{"issue":"03","key":"ref1","doi-asserted-by":"crossref","first-page":"209","DOI":"10.3322\/caac.21660","article-title":"Global cancer statistics 2020: GLOBOCAN estimates of incidence and mortality worldwide for 36 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