{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2023,10,11]],"date-time":"2023-10-11T09:17:50Z","timestamp":1697015870318},"reference-count":22,"publisher":"Wiley","issue":"6","license":[{"start":{"date-parts":[[2012,4,17]],"date-time":"2012-04-17T00:00:00Z","timestamp":1334620800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Diagnostic Cytopathology"],"published-print":{"date-parts":[[2013,6]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:p>The technology of building an expert system for diagnosing malignant nature of invasive tumors of the mammary gland based on a set of quantitative features of the cell nuclei has been developed. Its peculiarity was the presence of weighting coefficients in all the features. Quantitative features were obtained by transforming the initial morphometric data with the help of simple (evaluation of mean values and building of histograms) and complex (regression analysis) mathematical operations. The expert system consisted of one\u2010dimensional X\u2010matrix used for investigations and two\u2010dimensional standard S\u2010matrix. The X\u2010matrix elements were assigned for filling with the quantitative features of the studied sample with a nonestablished diagnosis. The S\u2010matrix elements contained threshold values of quantitative features from the system of diagnostic decision criteria for malignant forms of diseases and their weighting coefficients. Threshold values of nuclear features (larger or smaller) were determined taking into account the range of their values in the groups of malignant and benign pathology. Significance of quantitative features in diagnosing diseases has been assessed. The presence of weighting coefficients allowed diagnosing malignant and benign pathology in a quantitative form by the diagnostic index value. Diagnostic index was calculated by the sum of weighting coefficients of features of the studied sample, which fell within the range of system of the S\u2010matrix diagnostic decision criteria. Clinical trials revealed high efficiency of the developed approach while diagnosis of breast cancer invasive forms at a preoperative stage. Diagn. Cytopathol. 2013. \u00a9 2012 Wiley Periodicals, Inc.<\/jats:p>","DOI":"10.1002\/dc.22862","type":"journal-article","created":{"date-parts":[[2012,4,17]],"date-time":"2012-04-17T10:06:44Z","timestamp":1334657204000},"page":"475-484","source":"Crossref","is-referenced-by-count":0,"title":["Technology of building an expert system based on a set of quantitative features of tumor cell nuclei for diagnosing breast cancer"],"prefix":"10.1002","volume":"41","author":[{"given":"Vladimir","family":"Kirillov","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","published-online":{"date-parts":[[2012,4,17]]},"reference":[{"key":"e_1_2_6_2_2","first-page":"237","volume-title":"Diagnostic cytopathology","author":"Gray W","year":"2003"},{"key":"e_1_2_6_3_2","first-page":"342","volume-title":"Fine\u2010needle aspiration cytology","author":"Orell S","year":"2005"},{"key":"e_1_2_6_4_2","first-page":"513","volume-title":"Cytopathology. An atlas and text","author":"Kini SR","year":"2008"},{"key":"e_1_2_6_5_2","doi-asserted-by":"publisher","DOI":"10.1002\/jemt.20853"},{"key":"e_1_2_6_6_2","first-page":"3985","article-title":"Nuclear morphometry in FNABs of breast diseases in Libyans","volume":"28","author":"Abdalla F","year":"2008","journal-title":"Anticancer Res"},{"key":"e_1_2_6_7_2","first-page":"483","article-title":"Nuclear image morphometry and cytologic grade of breast carcinoma","volume":"22","author":"Dey P","year":"2000","journal-title":"Anal Quant Cytol Histol"},{"key":"e_1_2_6_8_2","first-page":"247","article-title":"Computerized nuclear morphometry and quantitation of angiogenesis in thyroid neoplasms","volume":"21","author":"Kavantzas N","year":"2002","journal-title":"J Exp Clin Cancer Res"},{"key":"e_1_2_6_9_2","doi-asserted-by":"publisher","DOI":"10.1097\/00042737-200012080-00011"},{"key":"e_1_2_6_10_2","first-page":"292","article-title":"Analysis of karyometric variables in spontaneously occurring canine mammary tumors","volume":"28","author":"Nair BC","year":"2006","journal-title":"Anal Quant Cytol Histol"},{"key":"e_1_2_6_11_2","first-page":"323","article-title":"Computerized morphometric study on fine needle aspirates of cellular follicular lesions of the thyroid","volume":"22","author":"Tseleni\u2010Balafouta S","year":"2000","journal-title":"Anal Quant Cytol Histol"},{"key":"e_1_2_6_12_2","doi-asserted-by":"publisher","DOI":"10.1111\/j.1440-1827.2005.01895.x"},{"key":"e_1_2_6_13_2","doi-asserted-by":"publisher","DOI":"10.1159\/000325087"},{"key":"e_1_2_6_14_2","first-page":"102","article-title":"Regression analysis of the initial karyometric data on tumor cells in ductal carcinoma and fibroadenoma of the mammary gland","volume":"32","author":"Kirillov V","year":"2010","journal-title":"Anal Quant Cytol Histol"},{"key":"e_1_2_6_15_2","doi-asserted-by":"publisher","DOI":"10.1002\/jemt.10355"},{"key":"e_1_2_6_16_2","doi-asserted-by":"crossref","first-page":"976","DOI":"10.1158\/1055-9965.976.13.6","article-title":"Using nuclear morphometry to discriminate the tumorigenic potential of cell: A comparison of statistical methods","volume":"13","author":"Wolfe P","year":"2004","journal-title":"Cancer Epidemiol Biomarkers Prev"},{"key":"e_1_2_6_17_2","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4419-6199-0_4"},{"key":"e_1_2_6_18_2","doi-asserted-by":"publisher","DOI":"10.1002\/1097-0142(20011001)92:7<1818::AID-CNCR1698>3.0.CO;2-U"},{"key":"e_1_2_6_19_2","first-page":"1","article-title":"Morphometric analysis of the degree of aggregation of follicular cells in the diagnosis of malignant thyroid tumors","volume":"25","author":"Kirillov V","year":"2003","journal-title":"Anal Quant Cytol Histol"},{"key":"e_1_2_6_20_2","first-page":"101","article-title":"Quantitative change in thyroid lymphoid cells as a marker of malignancy","volume":"27","author":"Kirillov VA","year":"2005","journal-title":"Anal Quant Cytol Histol"},{"key":"e_1_2_6_21_2","doi-asserted-by":"publisher","DOI":"10.1002\/jemt.20340"},{"key":"e_1_2_6_22_2","first-page":"40","article-title":"Method of presentation of initial morphometric data for diagnosing breast cancer","volume":"1","author":"Kirillov VA","year":"2010","journal-title":"Proc Natl Acad Sci Belarus"},{"key":"e_1_2_6_23_2","first-page":"87","article-title":"Application of artificial neural network for classification of thyroid follicular tumors","volume":"29","author":"Shapiro NA","year":"2007","journal-title":"Anal Quant Cytol Histol"}],"container-title":["Diagnostic Cytopathology"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.wiley.com\/onlinelibrary\/tdm\/v1\/articles\/10.1002%2Fdc.22862","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/pdf\/10.1002\/dc.22862","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,10,10]],"date-time":"2023-10-10T15:57:51Z","timestamp":1696953471000},"score":1,"resource":{"primary":{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/10.1002\/dc.22862"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2012,4,17]]},"references-count":22,"journal-issue":{"issue":"6","published-print":{"date-parts":[[2013,6]]}},"alternative-id":["10.1002\/dc.22862"],"URL":"https:\/\/doi.org\/10.1002\/dc.22862","archive":["Portico"],"relation":{},"ISSN":["8755-1039","1097-0339"],"issn-type":[{"value":"8755-1039","type":"print"},{"value":"1097-0339","type":"electronic"}],"subject":[],"published":{"date-parts":[[2012,4,17]]}}}