{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,6,2]],"date-time":"2024-06-02T04:30:21Z","timestamp":1717302621865},"reference-count":24,"publisher":"Bioscientifica","issue":"8","license":[{"start":{"date-parts":[[2018,8,1]],"date-time":"2018-08-01T00:00:00Z","timestamp":1533081600000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"content-domain":{"domain":["ec.bioscientifica.com"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2018,8]]},"abstract":"\nBackground<\/jats:title>\nComputerized image analysis seems to represent a promising diagnostic possibility for thyroid tumors. Our aim was to evaluate the discriminatory diagnostic efficiency of computerized image analysis of cell nuclei from histological materials of follicular tumors.<\/jats:p>\n<\/jats:sec>\n\nMethods<\/jats:title>\nWe studied paraffin-embedded materials from 42 follicular adenomas (FA), 47 follicular variants of papillary carcinomas (FVPC) and 20 follicular carcinomas (FC) by the software ImageJ. Based on the nuclear morphometry and chromatin texture, the samples were classified as FA, FC or FVPC using the Classification and Regression Trees method.<\/jats:p>\n<\/jats:sec>\n\nResults<\/jats:title>\nWe observed high diagnostic sensitivity and specificity rates (FVPC: 89.4% and 100%; FC: 95.0% and 92.1%; FA: 90.5 and 95.5%, respectively). When the tumors were compared by pairs (FC vs FA, FVPC vs FA), 100% of the cases were classified correctly.<\/jats:p>\n<\/jats:sec>\n\nConclusion<\/jats:title>\nThe computerized image analysis of nuclear features showed to be a useful diagnostic support tool for the histological differentiation between follicular adenomas, follicular variants of papillary carcinomas and follicular carcinomas.<\/jats:p>\n<\/jats:sec>","DOI":"10.1530\/ec-18-0237","type":"journal-article","created":{"date-parts":[[2018,7,4]],"date-time":"2018-07-04T14:45:34Z","timestamp":1530715534000},"page":"907-913","update-policy":"http:\/\/dx.doi.org\/10.1530\/crossmarkpolicy-10","source":"Crossref","is-referenced-by-count":5,"title":["Follicular thyroid lesions: is there a discriminatory potential in the computerized nuclear analysis?"],"prefix":"10.1530","volume":"7","author":[{"given":"Fl\u00e1via O","family":"Valentim","sequence":"first","affiliation":[{"name":"1Internal Medicine Department, Botucatu Medical School, Sao Paulo State University (Unesp), Botucatu, S\u00e3o Paulo, Brazil"}]},{"given":"B\u00e1rbara P","family":"Coelho","sequence":"additional","affiliation":[{"name":"1Internal Medicine Department, Botucatu Medical School, Sao Paulo State University (Unesp), Botucatu, S\u00e3o Paulo, Brazil"}]},{"given":"H\u00e9lio A","family":"Miot","sequence":"additional","affiliation":[{"name":"2Department of Dermatology, Botucatu Medical School, Sao Paulo State University (Unesp), Botucatu, S\u00e3o Paulo, Brazil"}]},{"given":"Caroline Y","family":"Hayashi","sequence":"additional","affiliation":[{"name":"1Internal Medicine Department, Botucatu Medical School, Sao Paulo State University (Unesp), Botucatu, S\u00e3o Paulo, Brazil"}]},{"given":"Danilo T A","family":"Jaune","sequence":"additional","affiliation":[{"name":"1Internal Medicine Department, Botucatu Medical School, Sao Paulo State University (Unesp), Botucatu, S\u00e3o Paulo, Brazil"}]},{"given":"Cristiano C","family":"Oliveira","sequence":"additional","affiliation":[{"name":"3Pathology Department, Botucatu Medical School, Sao Paulo State University (Unesp), Botucatu, S\u00e3o Paulo, Brazil"}]},{"given":"Mari\u00e2ngela E A","family":"Marques","sequence":"additional","affiliation":[{"name":"3Pathology Department, Botucatu Medical School, Sao Paulo State University (Unesp), Botucatu, S\u00e3o Paulo, Brazil"}]},{"given":"Jos\u00e9 Vicente","family":"Tagliarini","sequence":"additional","affiliation":[{"name":"4Otolaryngology and Head and Neck Surgery Department, Botucatu Medical School, Sao Paulo State University (Unesp), Botucatu, S\u00e3o Paulo, Brazil"}]},{"given":"Emanuel C","family":"Castilho","sequence":"additional","affiliation":[{"name":"4Otolaryngology and Head and Neck Surgery Department, Botucatu Medical School, Sao Paulo State University (Unesp), Botucatu, S\u00e3o Paulo, Brazil"}]},{"given":"Paula","family":"Soares","sequence":"additional","affiliation":[{"name":"5i3S - Instituto de Investiga\u00e7\u00e3o e Inova\u00e7\u00e3o em Sa\u00fade, Universidade do Porto, Porto, Portugal"},{"name":"6Cancer Signaling and Metabolism Group, Institute of Molecular Pathology and Immunology of the University of Porto (IPATIMUP), Porto, Portugal"},{"name":"7Department of Pathology, Medical Faculty, University of Porto, Porto, Portugal"}]},{"given":"Gl\u00e1ucia M F S","family":"Mazeto","sequence":"additional","affiliation":[{"name":"1Internal Medicine Department, Botucatu Medical School, Sao Paulo State University (Unesp), Botucatu, S\u00e3o Paulo, Brazil"}]}],"member":"416","reference":[{"key":"ref121","first-page":"1101","article-title":"Classification ofthyroidfollicular lesions based on nuclear texture features-lesion size matters","volume":"77","year":"2010","journal-title":"Cytometry"},{"key":"ref91","doi-asserted-by":"crossref","first-page":"709","DOI":"10.1002\/cyto.a.22467","article-title":"Impact of the accuracy of automatic segmentation of cell nuclei clusters on classification of thyroid follicular lesions","volume":"85","year":"2014","journal-title":"Cytometry"},{"key":"ref61","article-title":"Automated cancer diagnosis based on histopathological images: a systematic survey","volume-title":"Technical Report cTR-05-09, Rensselaer Polytechnic Institute, Department of Computer Science","year":"2005"},{"key":"ref101","doi-asserted-by":"crossref","first-page":"91","DOI":"10.1002\/cyto.10162","article-title":"Detection of underlying characteristics of nuclear chromatin patterns ofthyroidtumor cells using texture and factor analyses","volume":"49","year":"2002","journal-title":"Cytometry"},{"key":"ref161","doi-asserted-by":"crossref","first-page":"950","DOI":"10.1081\/CNV-120025097","article-title":"Application of image analysis to anatomic pathology: realities and promises","volume":"21","year":"2003","journal-title":"Cancer 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cytometry","volume":"87","year":"1995","journal-title":"Pathologica"},{"key":"ref221","doi-asserted-by":"crossref","first-page":"134","DOI":"10.1016\/j.humpath.2016.03.014","article-title":"Cytological features of \u2018noninvasive follicular thyroid neoplasm with papillary-like nuclear features\u2019 and their correlation with tumor histology","volume":"54","year":"2016","journal-title":"Human Pathology"},{"key":"ref71","first-page":"22","article-title":"Contribution of morphometry in the differential diagnosis of fine-needle thyroid aspirates","volume":"65","year":"2005","journal-title":"Cytometry"},{"key":"ref211","first-page":"1023","article-title":"Nomenclature revision for encapsulated follicular variant of papillary thyroid carcinoma: a paradigm shift to reduce overtreatment of indolent tumors","volume":"8","year":"2016","journal-title":"JAMA Oncology"},{"key":"ref231","doi-asserted-by":"crossref","first-page":"28","DOI":"10.1002\/hed.22909","article-title":"Preoperative prediction of papillary thyroid carcinoma prognosis with the assistance of computerized morphometry of cytology samples obtained by fine needle aspiration: preliminary report","volume":"35","year":"2013","journal-title":"Head and Neck"},{"key":"ref11","doi-asserted-by":"crossref","first-page":"417","DOI":"10.1385\/EP:12:4:417","article-title":"Minimally invasive follicular thyroid carcinoma","volume":"12","year":"2001","journal-title":"Endocrine Pathology"},{"key":"ref41","doi-asserted-by":"crossref","first-page":"46","DOI":"10.1007\/BF03032605","article-title":"Evaluation of diagnostic efficiency of computerized image analysis based quantitative nuclear parameters in papillary and follicular thyroid tumors using paraffin-embedded tissue sections","volume":"7","year":"2001","journal-title":"Pathology and Oncology Research"},{"key":"ref171","first-page":"323","article-title":"Texture- and object-related automated information analysis in histological still images of various organs","volume":"30","year":"2008","journal-title":"Analytical and Quantitative Cytology and Histology"},{"key":"ref191","doi-asserted-by":"crossref","first-page":"309","DOI":"10.1002\/cyto.a.22612","article-title":"Simple cumputational technique to quantify nuclear shape asymmetry","volume":"87","year":"2015","journal-title":"Cytometry"},{"key":"ref141","first-page":"321","article-title":"Fine needle aspiration diagnosis of hyperplastic and neoplastic follicular nodules of the thyroid \u2013 a morphometric study","volume":"13","year":"1991","journal-title":"Analytical and Quantitative Cytology and Histology"},{"key":"ref31","doi-asserted-by":"crossref","first-page":"941","DOI":"10.1089\/105072501753211000","article-title":"Computer-assisted cell morphometry and ploidy analysis in the assessment of thyroid follicular neoplasms","volume":"11","year":"2001","journal-title":"Thyroid"},{"key":"ref21","doi-asserted-by":"crossref","first-page":"874","DOI":"10.1590\/abd1806-4841.20154076","article-title":"Nuclear morphometry and chromatin textural characteristics of basal cell carcinoma","volume":"90","year":"2015","journal-title":"Anais Brasileiros de Dermatologia"},{"key":"ref181","doi-asserted-by":"crossref","first-page":"707","DOI":"10.1586\/14737159.8.6.707","article-title":"Automated image analysis in histopathology: a valuable tool in medical diagnostics","volume":"8","year":"2008","journal-title":"Expert Review of Molecular Diagnostics"},{"key":"ref01","first-page":"485","article-title":"Detection and classification of thyroid follicular lesions based on nuclear structure from histopathology images","volume":"77","year":"2010","journal-title":"Cytometry"},{"key":"ref111","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1155\/2003\/548678","article-title":"A feature set for cytometry on 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