{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T01:19:45Z","timestamp":1760145585903,"version":"build-2065373602"},"reference-count":23,"publisher":"MDPI AG","issue":"15","license":[{"start":{"date-parts":[[2024,8,2]],"date-time":"2024-08-02T00:00:00Z","timestamp":1722556800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Diagnostics"],"abstract":"<jats:p>This study aimed to introduce specific image feature analysis, focusing on pancreatic margins, and to provide a quantitative measure of edge irregularity, evidencing correlations with the presence\/absence of pancreatic adenocarcinoma. We selected 50 patients (36 men, 14 women; mean age 63.7 years) who underwent Multi-detector computed tomography (MDCT) for the staging of pancreatic adenocarcinoma of the tail of the pancreas. Computer-assisted quantitative edge analysis was performed on the border fragments in MDCT images of neoplastic and healthy glandular parenchyma, from which we obtained the root mean square deviation SD of the actual border from the average boundary line. The SD values relative to healthy and neoplastic borders were compared using a paired t-test. A significant SD difference was observed between healthy and neoplastic borders. A threshold SD value was also found, enabling the differentiation of adenocarcinoma with 96% specificity and sensitivity. We introduced a quantitative measure of boundary irregularity, which correlates with the presence\/absence of pancreatic adenocarcinoma. Quantitative edge analysis can be promptly performed on select border fragments in MDCT images, providing a useful supporting tool for diagnostics and a possible starting point for machine learning recognition based on lower-dimensional feature space.<\/jats:p>","DOI":"10.3390\/diagnostics14151681","type":"journal-article","created":{"date-parts":[[2024,8,2]],"date-time":"2024-08-02T13:14:42Z","timestamp":1722604482000},"page":"1681","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Quantitative Edge Analysis Can Differentiate Pancreatic Carcinoma from Normal Pancreatic Parenchyma"],"prefix":"10.3390","volume":"14","author":[{"given":"Maria Chiara","family":"Ambrosetti","sequence":"first","affiliation":[{"name":"Radiology Unit, Department of Pathology and Diagnostics, Azienda Ospedaliera Universitaria Integrata Verona, 37134 Verona, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Alberto","family":"Ambrosetti","sequence":"additional","affiliation":[{"name":"Department of Physics and Astronomy \u201cGalileo Galilei\u201d, University of Padova, 35121 Padova, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Matilde","family":"Bariani","sequence":"additional","affiliation":[{"name":"Radiology Unit, Department of Pathology and Diagnostics, Azienda Ospedaliera Universitaria Integrata Verona, 37134 Verona, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5467-2628","authenticated-orcid":false,"given":"Giuseppe","family":"Malleo","sequence":"additional","affiliation":[{"name":"Department of General and Pancreatic Surgery, The Pancreas Institute, University of Verona Hospital Trust, 37134 Verona, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Giancarlo","family":"Mansueto","sequence":"additional","affiliation":[{"name":"Institute of Radiology, Department of Diagnostics and Public Health, Policlinico GB Rossi, University of Verona, 37134 Verona, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5059-3305","authenticated-orcid":false,"given":"Giulia A.","family":"Zamboni","sequence":"additional","affiliation":[{"name":"Institute of Radiology, Department of Diagnostics and Public Health, Policlinico GB Rossi, University of Verona, 37134 Verona, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2024,8,2]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"97","DOI":"10.1007\/s10278-012-9465-7","article-title":"Quantitative imaging biomarkers: The application of advanced image processing and analysis to clinical and preclinical decision making","volume":"26","author":"Prescott","year":"2013","journal-title":"J. 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