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Whole-lesion histogram features were extracted from ADC maps and compared between the aggressive and non-aggressive groups. Multivariable logistic regression analysis was performed for identifying independent predictive factors. Receiver operating characteristic curve analysis was used to evaluate the performances of significant factors, and an optimal predictive model for aggressiveness of PTC was developed.<\/jats:p>\n              <\/jats:sec><jats:sec>\n                <jats:title>Results<\/jats:title>\n                <jats:p>The aggressive and non-aggressive groups comprised 67 (mean age, 44.03\u2009\u00b1\u200913.99\u00a0years) and 21 (mean age, 43.86\u2009\u00b1\u200912.16\u00a0years) patients, respectively. Five histogram features were included into the final predictive model. ADC_firstorder_TotalEnergy had the best performance (area under the curve [AUC]\u2009=\u20090.77). The final combined model showed an optimal performance, with AUC and accuracy of 0.88 and 0.75, respectively.<\/jats:p>\n              <\/jats:sec><jats:sec>\n                <jats:title>Conclusions<\/jats:title>\n                <jats:p>Whole-lesion histogram analysis based on ADC maps could be utilized for evaluating aggressiveness in PTC.<\/jats:p>\n              <\/jats:sec>","DOI":"10.1186\/s12880-022-00920-4","type":"journal-article","created":{"date-parts":[[2022,11,2]],"date-time":"2022-11-02T16:03:44Z","timestamp":1667405024000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["Histogram-based analysis of diffusion-weighted imaging for predicting aggressiveness in papillary thyroid carcinoma"],"prefix":"10.1186","volume":"22","author":[{"given":"Ran","family":"Wei","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yuzhong","family":"Zhuang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lanyun","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xilin","family":"Sun","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zedong","family":"Dai","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yaqiong","family":"Ge","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hao","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Bin","family":"Song","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2022,11,2]]},"reference":[{"issue":"1","key":"920_CR1","doi-asserted-by":"publisher","first-page":"e53","DOI":"10.1016\/j.jviscsurg.2010.02.007","volume":"147","author":"J Xiang","year":"2010","unstructured":"Xiang J, Wu Y, Li DS, Shen Q, Wang ZY, Sun TQ, An Y, Guan Q. 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