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Logistic regression analysis of small round cell neoplasms: A cytologic study
The diagnosis of small round cell neoplasms (SRCN) in children is difficult by both histologic and cytologic methods. These neoplasms are unified morphologically by the scanty cytoplasm surrounding relatively round nuclei containing a primitive chromatin pattern. Further categorization is achieved h...
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Published in: | Diagnostic cytopathology 1999-05, Vol.20 (5), p.271-277 |
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description | The diagnosis of small round cell neoplasms (SRCN) in children is difficult by both histologic and cytologic methods. These neoplasms are unified morphologically by the scanty cytoplasm surrounding relatively round nuclei containing a primitive chromatin pattern. Further categorization is achieved histologically by the recognition of architectural differentiation and cytoplasmic features. Numerous series and case reports documenting the cytologic features of SRCN have been published in the English‐language literature, but relatively few studies have statistically analyzed the diagnostic utility of these features. Our logistic regression analysis of 59 cases of SRCN indicates that the presence of an extremely scanty cytoplasm favors the diagnosis of Ewing's sarcoma (P = 0.004), as does the positive expression of cytoplasmic vacuoles (P = 0.02). Strap or tadpole cells closely correlate with the diagnosisof rhabdomyosarcoma (P < 0.001). The positive expression of rosettes strongly supports the presence of a neuroblastoma (P < 0.001). The diagnosis of Wilms' tumor is confirmed by the expression of tubules (P < 0.001). The presence of lymphoglandular bodies strongly favors the diagnosis of lymphoma (P < 0.001). While some cytologic features are highly correlated with specific SRCN, these features are not invariably present, and definitive diagnosis may require immunohistochemical or ultrastructural analysis performed on cell block material. Diagn. Cytopathol. 1999;20:271–277. © 1999 Wiley‐Liss, Inc. |
doi_str_mv | 10.1002/(SICI)1097-0339(199905)20:5<271::AID-DC5>3.0.CO;2-5 |
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These neoplasms are unified morphologically by the scanty cytoplasm surrounding relatively round nuclei containing a primitive chromatin pattern. Further categorization is achieved histologically by the recognition of architectural differentiation and cytoplasmic features. Numerous series and case reports documenting the cytologic features of SRCN have been published in the English‐language literature, but relatively few studies have statistically analyzed the diagnostic utility of these features. Our logistic regression analysis of 59 cases of SRCN indicates that the presence of an extremely scanty cytoplasm favors the diagnosis of Ewing's sarcoma (P = 0.004), as does the positive expression of cytoplasmic vacuoles (P = 0.02). Strap or tadpole cells closely correlate with the diagnosisof rhabdomyosarcoma (P < 0.001). The positive expression of rosettes strongly supports the presence of a neuroblastoma (P < 0.001). The diagnosis of Wilms' tumor is confirmed by the expression of tubules (P < 0.001). The presence of lymphoglandular bodies strongly favors the diagnosis of lymphoma (P < 0.001). While some cytologic features are highly correlated with specific SRCN, these features are not invariably present, and definitive diagnosis may require immunohistochemical or ultrastructural analysis performed on cell block material. Diagn. Cytopathol. 1999;20:271–277. © 1999 Wiley‐Liss, Inc.</description><identifier>ISSN: 8755-1039</identifier><identifier>EISSN: 1097-0339</identifier><identifier>DOI: 10.1002/(SICI)1097-0339(199905)20:5<271::AID-DC5>3.0.CO;2-5</identifier><identifier>PMID: 10319227</identifier><identifier>CODEN: DICYE7</identifier><language>eng</language><publisher>New York: John Wiley & Sons, Inc</publisher><subject>Biological and medical sciences ; Carcinoma, Small Cell - pathology ; FNA ; Humans ; Investigative techniques, diagnostic techniques (general aspects) ; logistic regression analysis ; Medical sciences ; Miscellaneous. Technology ; Neoplasms - pathology ; Pathology. Cytology. Biochemistry. Spectrometry. 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Cytopathol</addtitle><description>The diagnosis of small round cell neoplasms (SRCN) in children is difficult by both histologic and cytologic methods. These neoplasms are unified morphologically by the scanty cytoplasm surrounding relatively round nuclei containing a primitive chromatin pattern. Further categorization is achieved histologically by the recognition of architectural differentiation and cytoplasmic features. Numerous series and case reports documenting the cytologic features of SRCN have been published in the English‐language literature, but relatively few studies have statistically analyzed the diagnostic utility of these features. Our logistic regression analysis of 59 cases of SRCN indicates that the presence of an extremely scanty cytoplasm favors the diagnosis of Ewing's sarcoma (P = 0.004), as does the positive expression of cytoplasmic vacuoles (P = 0.02). Strap or tadpole cells closely correlate with the diagnosisof rhabdomyosarcoma (P < 0.001). The positive expression of rosettes strongly supports the presence of a neuroblastoma (P < 0.001). The diagnosis of Wilms' tumor is confirmed by the expression of tubules (P < 0.001). The presence of lymphoglandular bodies strongly favors the diagnosis of lymphoma (P < 0.001). While some cytologic features are highly correlated with specific SRCN, these features are not invariably present, and definitive diagnosis may require immunohistochemical or ultrastructural analysis performed on cell block material. Diagn. Cytopathol. 1999;20:271–277. © 1999 Wiley‐Liss, Inc.</description><subject>Biological and medical sciences</subject><subject>Carcinoma, Small Cell - pathology</subject><subject>FNA</subject><subject>Humans</subject><subject>Investigative techniques, diagnostic techniques (general aspects)</subject><subject>logistic regression analysis</subject><subject>Medical sciences</subject><subject>Miscellaneous. Technology</subject><subject>Neoplasms - pathology</subject><subject>Pathology. Cytology. Biochemistry. Spectrometry. 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Technology</topic><topic>Neoplasms - pathology</topic><topic>Pathology. Cytology. Biochemistry. Spectrometry. Miscellaneous investigative techniques</topic><topic>Regression Analysis</topic><topic>small round cell neoplasms</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Layfield, Lester J.</creatorcontrib><creatorcontrib>Liu, Katharine</creatorcontrib><creatorcontrib>Dodge, Richard K.</creatorcontrib><collection>Istex</collection><collection>Pascal-Francis</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>Diagnostic cytopathology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Layfield, Lester J.</au><au>Liu, Katharine</au><au>Dodge, Richard K.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Logistic regression analysis of small round cell neoplasms: A cytologic study</atitle><jtitle>Diagnostic cytopathology</jtitle><addtitle>Diagn. Cytopathol</addtitle><date>1999-05</date><risdate>1999</risdate><volume>20</volume><issue>5</issue><spage>271</spage><epage>277</epage><pages>271-277</pages><issn>8755-1039</issn><eissn>1097-0339</eissn><coden>DICYE7</coden><abstract>The diagnosis of small round cell neoplasms (SRCN) in children is difficult by both histologic and cytologic methods. These neoplasms are unified morphologically by the scanty cytoplasm surrounding relatively round nuclei containing a primitive chromatin pattern. Further categorization is achieved histologically by the recognition of architectural differentiation and cytoplasmic features. Numerous series and case reports documenting the cytologic features of SRCN have been published in the English‐language literature, but relatively few studies have statistically analyzed the diagnostic utility of these features. Our logistic regression analysis of 59 cases of SRCN indicates that the presence of an extremely scanty cytoplasm favors the diagnosis of Ewing's sarcoma (P = 0.004), as does the positive expression of cytoplasmic vacuoles (P = 0.02). Strap or tadpole cells closely correlate with the diagnosisof rhabdomyosarcoma (P < 0.001). The positive expression of rosettes strongly supports the presence of a neuroblastoma (P < 0.001). The diagnosis of Wilms' tumor is confirmed by the expression of tubules (P < 0.001). The presence of lymphoglandular bodies strongly favors the diagnosis of lymphoma (P < 0.001). While some cytologic features are highly correlated with specific SRCN, these features are not invariably present, and definitive diagnosis may require immunohistochemical or ultrastructural analysis performed on cell block material. Diagn. 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subjects | Biological and medical sciences Carcinoma, Small Cell - pathology FNA Humans Investigative techniques, diagnostic techniques (general aspects) logistic regression analysis Medical sciences Miscellaneous. Technology Neoplasms - pathology Pathology. Cytology. Biochemistry. Spectrometry. Miscellaneous investigative techniques Regression Analysis small round cell neoplasms |
title | Logistic regression analysis of small round cell neoplasms: A cytologic study |
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