High-resolution semiconductor 18F-FDG PET/CT with prone positioning for assessing the extent of mucinous breast carcinoma: initial experience

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High-resolution semiconductor 18F-FDG PET/CT with prone positioning for assessing the extent of mucinous breast carcinoma: initial experience | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article High-resolution semiconductor 18F-FDG PET/CT with prone positioning for assessing the extent of mucinous breast carcinoma: initial experience Hiroyuki Kuroda, Takeshi Yoshizako, Anna Murata, Nobuhiro Yada, and 7 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-7463826/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract Objective: To assess the utility of high-resolution, semiconductor-based, 18 F-fluorodeoxyglucose ( 18 F-FDG) positron-emission tomography/computed tomography (PET/CT) with prone positioning for evaluating intramammary tumor extent in mucinous breast carcinoma. Methods: We retrospectively analyzed seven patients with pathologically confirmed mucinous breast carcinoma who underwent PET/CT without neoadjuvant chemotherapy between September 2020 and September 2024. A spherical volume of interest (VOI, 20 mm in diameter) was placed in the contralateral background fibroglandular breast tissue on PET images to assess background fibroglandular uptake (bFGU), from which the mean standardized uptake value (SUVmean) and standard deviation (SD) were derived. Four SUV thresholds were defined: SUVmean + 2 SD, SUVmean + 3 SD, 1.5 × SUVmean + 2 SD, and 1.5 × SUVmean + 3 SD. Tumor contours were delineated using semiautomatic software, and the maximum diameter was manually measured along the extracted contours at each threshold, followed by comparison with pathological tumor sizes and, in five cases, with magnetic resonance imaging (MRI)-based measurements. Results: All mucinous carcinomas were successfully detected by PET/CT. At the lowest threshold (SUVmean + 2 SD), the PET-based tumor size had the highest concordance with the pathological tumor size. Increasing threshold levels led to progressively greater underestimation of tumor size. The mean SUVmax values were 3.14 for tumors and 1.27 for bFGU. PET and MRI demonstrated comparable performance in all five cases in which both modalities were available. Conclusions: High-resolution 18 F-FDG PET/CT with prone positioning effectively delineated the extent of mucinous breast carcinoma, providing a diagnostic accuracy comparable to that of MRI. This technique may enhance preoperative planning for patients with this histological subtype. Mucinous breast prone position 18F-FDG semiconductor PET/CT bFGU Full Text Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-7463826","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":508915253,"identity":"7572a330-544b-4afa-a42e-f92d034f6d77","order_by":0,"name":"Hiroyuki 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