{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,18]],"date-time":"2026-08-18T00:47:45Z","timestamp":1787014065153,"version":"build-2736575974"},"reference-count":28,"publisher":"Wiley","issue":"2","license":[{"start":{"date-parts":[[2013,1,24]],"date-time":"2013-01-24T00:00:00Z","timestamp":1358985600000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Cytopathology"],"published-print":{"date-parts":[[2013,4]]},"abstract":"<jats:p>\n                    <jats:bold>Objective:\u2002<\/jats:bold>\n                    The discrimination of hyperchromatic crowded cell groups (HCCGs) in cervical cytology is a difficult and error\u2010prone interpretive task. While the classic features of dyskaryosis are of undoubted value, the contribution of size, shape and colour intensity of HCCGs is less certain. This study employed morphometric analysis to determine whether HCCG area, shape and colour intensity are useful in categorising them.\n                  <\/jats:p>\n                  <jats:p>\n                    <jats:bold>Methods:\u2002<\/jats:bold>\n                    Seventy\u2010five digital images from each of six categories of HCCG were subjected to image analysis. Ten variables relating to HCCG size, shape and colour intensity were assessed by discriminant function analysis. A further 28 cases were employed as a test set to determine the classification accuracy of the discriminant model. All samples were SurePath liquid\u2010based cytology preparations.\n                  <\/jats:p>\n                  <jats:p>\n                    <jats:bold>Results:\u2002<\/jats:bold>\n                    Nine of the 10 variables contributed significantly to the model (\n                    <jats:italic>P\u2003<\/jats:italic>\n                    &lt;\u20030.001) but no single variable had sufficient discriminative ability. Classification accuracy was highest for abnormal endocervical HCCGs and lowest for squamous metaplastic cells (64.0 vs. 17.3% correct classification rate).\n                  <\/jats:p>\n                  <jats:p>\n                    The accuracy of the model for distinguishing normal and abnormal HCCGs was 70.0%, which was significantly higher than chance (\n                    <jats:italic>P\u2003<\/jats:italic>\n                    &lt;\u20030.0001), but this reduced to 64.3% for the test cases, which was no better than chance (\n                    <jats:italic>P\u2003<\/jats:italic>\n                    &gt;\u20030.05).\n                  <\/jats:p>\n                  <jats:p>\n                    <jats:bold>Conclusions:\u2002<\/jats:bold>\n                    The area, shape and colour intensity of HCCGs, either alone or in combination, have little discriminative value. Practitioners and trainers should focus on the well\u2010established features of dyskaryosis, such as chromatin pattern, nuclear membrane irregularities and group architecture. In terms of morphometric analysis, DNA ploidy and chromatin texture analysis may be more fruitful avenues of investigation.\n                  <\/jats:p>","DOI":"10.1111\/cyt.12040","type":"journal-article","created":{"date-parts":[[2013,1,24]],"date-time":"2013-01-24T08:51:02Z","timestamp":1359017462000},"page":"113-122","source":"Crossref","is-referenced-by-count":9,"title":["Image analysis of hyperchromatic crowded cell groups in SurePath cervical cytology"],"prefix":"10.1111","volume":"24","author":[{"given":"A.","family":"Evered","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"J.","family":"Edwards","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"G.","family":"Powell","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2013,1,24]]},"reference":[{"key":"e_1_2_5_2_2","unstructured":"National Institute for Clinical Excellence.Guidance on the use of liquid\u2010based cytology for cervical screening. Technology Appraisal 69 2003."},{"key":"e_1_2_5_3_2","volume-title":"The art and science of Cytopathology","author":"DeMay RM","year":"1996"},{"key":"e_1_2_5_4_2","doi-asserted-by":"crossref","first-page":"332","DOI":"10.5858\/2006-130-332-HCGICC","article-title":"Cytopathology Resource Committee, College of American Pathologists: Hyperchromatic crowded groups in cervical cytology \u2010 differing appearances and interpretations in conventional and ThinPrep preparations: a study from the College of American Pathologists Inter laboratory Comparison Program in Cervicovaginal Cytology","volume":"130","author":"Renshaw AA","year":"2006","journal-title":"Arch Pathol Lab Med"},{"key":"e_1_2_5_5_2","doi-asserted-by":"publisher","DOI":"10.1186\/1742-6413-4-2"},{"key":"e_1_2_5_6_2","doi-asserted-by":"publisher","DOI":"10.1111\/j.1365-2303.2007.00500_9.x"},{"key":"e_1_2_5_7_2","unstructured":"NHS Cervical Screening Programme (NHSCSP).Audit of invasive cervical cancers. Publication No 28 2006. Available at:http:\/\/www.cancerscreening.nhs.uk\/cervical\/publications\/nhscsp28.html(Accessed 1 June 12)."},{"key":"e_1_2_5_8_2","unstructured":"NHS Cervical Screening Programme (NHSCSP).Achievable standards benchmarks for reporting and criteria for evaluating cervical cytopathology. Third edition with revised performance indicators. Publication No 1 June 2012. Available at:http:\/\/www.cancerscreening.nhs.uk\/cervical\/publications\/cc\u201002.html(Accessed 1 June 12)."},{"key":"e_1_2_5_9_2","doi-asserted-by":"crossref","first-page":"154","DOI":"10.1080\/09674845.2010.11730313","article-title":"Hyperchromatic crowded cell groups in gynaecological liquid\u2010based cytology samples","volume":"67","author":"Croll E","year":"2010","journal-title":"Br J Biomed Sci"},{"key":"e_1_2_5_10_2","doi-asserted-by":"publisher","DOI":"10.1111\/j.1365-2303.2008.00585.x"},{"key":"e_1_2_5_11_2","volume-title":"Fundamental statistics in psychology and education","author":"Guilford JP","year":"1978"},{"key":"e_1_2_5_12_2","first-page":"571","volume-title":"Discovering statistics using SPSS","author":"Field A","year":"2005"},{"issue":"1","key":"e_1_2_5_13_2","first-page":"S36","article-title":"Hyperchromatic crowded cell groups: pitfalls in Pap smear diagnosis","volume":"114","author":"DeMay RM","year":"2000","journal-title":"Am J Clin Pathol"},{"key":"e_1_2_5_14_2","doi-asserted-by":"publisher","DOI":"10.1111\/j.1365-2303.2012.00992.x"},{"key":"e_1_2_5_15_2","first-page":"53","article-title":"Feulgen staining remains the gold standard for precise DNA image cytometry","volume":"31","author":"Biesterfeld S","year":"2011","journal-title":"Anticancer Res"},{"key":"e_1_2_5_16_2","first-page":"372","article-title":"DNA cytometry as a first\u2010line method for diagnosis of cervical precancer with respect to clinical behaviour","volume":"31","author":"Reich O","year":"2010","journal-title":"Eur J Gynaecol Oncol"},{"key":"e_1_2_5_17_2","doi-asserted-by":"publisher","DOI":"10.1158\/1078-0432.CCR-09-1689"},{"key":"e_1_2_5_18_2","doi-asserted-by":"publisher","DOI":"10.1002\/cncr.21993"},{"key":"e_1_2_5_19_2","doi-asserted-by":"publisher","DOI":"10.1002\/cncr.23638"},{"key":"e_1_2_5_20_2","doi-asserted-by":"publisher","DOI":"10.1155\/2008\/298495"},{"key":"e_1_2_5_21_2","doi-asserted-by":"publisher","DOI":"10.1007\/978-0-387-45524-2"},{"key":"e_1_2_5_22_2","first-page":"40","article-title":"Confocal sectioning of thick, otherwise undiagnosable cell groupings in cervical smears","volume":"37","author":"Boon ME","year":"1993","journal-title":"Acta Cytol"},{"key":"e_1_2_5_23_2","doi-asserted-by":"publisher","DOI":"10.1002\/dc.2840120110"},{"key":"e_1_2_5_24_2","doi-asserted-by":"publisher","DOI":"10.1093\/jnci\/djh037"},{"key":"e_1_2_5_25_2","doi-asserted-by":"publisher","DOI":"10.1097\/LGT.0b013e3181ca66a6"},{"key":"e_1_2_5_26_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejogrb.2011.05.022"},{"key":"e_1_2_5_27_2","doi-asserted-by":"publisher","DOI":"10.1111\/j.1365-2303.2011.00943.x"},{"key":"e_1_2_5_28_2","doi-asserted-by":"publisher","DOI":"10.1016\/S0090-8258(03)00082-9"},{"key":"e_1_2_5_29_2","doi-asserted-by":"publisher","DOI":"10.1111\/j.1365-2303.2005.00271.x"}],"container-title":["Cytopathology"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.wiley.com\/onlinelibrary\/tdm\/v1\/articles\/10.1111%2Fcyt.12040","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/pdf\/10.1111\/cyt.12040","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,10,18]],"date-time":"2023-10-18T07:59:01Z","timestamp":1697615941000},"score":1,"resource":{"primary":{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/10.1111\/cyt.12040"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2013,1,24]]},"references-count":28,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2013,4]]}},"alternative-id":["10.1111\/cyt.12040"],"URL":"https:\/\/doi.org\/10.1111\/cyt.12040","archive":["Portico"],"relation":{},"ISSN":["0956-5507","1365-2303"],"issn-type":[{"value":"0956-5507","type":"print"},{"value":"1365-2303","type":"electronic"}],"subject":[],"published":{"date-parts":[[2013,1,24]]}}}