WITHDRAWN: Development and Validation of a Pathomics Model for Accurate Grading of Pancreatic Neuroendocrine Tumors Short title: Pathomics Model for Grading of PNETs

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This paper aimed to develop and validate a pathomics model for accurately grading pancreatic neuroendocrine tumors.

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This withdrawn preprint/publication aimed to develop and validate a pathomics model intended for accurate grading of pancreatic neuroendocrine tumors, based on a dataset and imaging-derived pathology features (details are not available in the provided text). At a high level, it is presented as having been published in npj Precision Oncology after submission to Research Square, but the full text has been withdrawn by the authors specifically for corrections, and the authors request it not be cited. Because the only accessible content here is an editorial withdrawal note and minimal metadata, the key findings and explicit limitations cannot be determined from the provided material. This paper does not explicitly discuss endometriosis or adenomyosis; it was included in the corpus via a keyword match in the upstream search index.

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Abstract

Abstract The full text of this preprint has been withdrawn by the authors while they make corrections to the work. Therefore, the authors do not wish this work to be cited as a reference. Questions should be directed to the corresponding author.
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WITHDRAWN: Development and Validation of a Pathomics Model for Accurate Grading of Pancreatic Neuroendocrine Tumors Short title: Pathomics Model for Grading of PNETs | 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 Article WITHDRAWN: Development and Validation of a Pathomics Model for Accurate Grading of Pancreatic Neuroendocrine Tumors Short title: Pathomics Model for Grading of PNETs li ying, Chengwei Chen, Yunshuo Zhang, Jieyu Yu, Xu Fang, Fang Liu, and 7 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-5634792/v2 This work is licensed under a CC BY 4.0 License Status: Published Journal Publication published 10 Jul, 2025 Read the published version in npj Precision Oncology → Version 2 posted You are reading this latest preprint version Show more versions Editorial Note The full text of this preprint has been withdrawn by the authors while they make corrections to the work. Therefore, the authors do not wish this work to be cited as a reference. Questions should be directed to the corresponding author. Editorial notes are used to provide important context regarding the topic of a preprint or to alert readers to potential issues concerning that preprint or a downstream publication associated with it. For more information on editorial notes, see our Editorial Policies . Abstract The full text of this preprint has been withdrawn by the authors while they make corrections to the work. Therefore, the authors do not wish this work to be cited as a reference. Questions should be directed to the corresponding author. Health sciences/Risk factors Health sciences/Biomarkers/Predictive markers Health sciences/Diseases/Cancer/Cancer models Health sciences/Diseases/Cancer/Endocrine cancer/Neuroendocrine cancer Full Text The authors have withdrawn this preprint from Research Square. Additional Declarations No competing interests reported. Cite Share Download PDF Status: Published Journal Publication published 10 Jul, 2025 Read the published version in npj Precision Oncology → Version 2 posted You are reading this latest preprint version Show more versions 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. 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