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使用PAPNET检测系统对具有临床重要性的假阴性宫颈涂片进行计算机辅助重新筛查。

Computer-assisted rescreening of clinically important false negative cervical smears using the PAPNET Testing System.

作者信息

Rosenthal D L, Acosta D, Peters R K

机构信息

Department of Pathology and Laboratory Medicine, University of California at Los Angeles, USA.

出版信息

Acta Cytol. 1996 Jan-Feb;40(1):120-6. doi: 10.1159/000333592.

Abstract

OBJECTIVE

To investigate the efficacy of the PAPNET Testing System and its ability to detect significant areas on clinically important false negative gynecologic smears.

STUDY DESIGN

Sixty-two gynecologic smears that had been obtained from women studied in a previous case-control investigation, completed in 1987, and had originally been interpreted as negative were rescreened by two independent, blind cytotechnologist-cytopathologist teams. Twenty-nine of these "negative" smears were from 19 women who had been subsequently diagnosed with invasive squamous cell carcinoma and had self-reported a history of only negative gynecologic smears. Thirty-three smears were from 33 control women who did not develop cervical cancer. One team, at the University of Southern California (USC), manually rescreened the smears as part of the original study. The other team, at the University of California at Los Angeles (UCLA), recently used the PAPNET Testing System to rescreen the same smears. This computer-assisted system utilizes neural network technology to recognize and select potentially abnormal cell scenes on a conventionally prepared gynecologic smear. The PAPNET-selected scenes are displayed for review by trained cytologists, who ultimately diagnose the smear.

RESULTS

Manual reevaluation of the smears by the USC team in 1987 resulted in the reclassification of 9 of the 29 case smears (31%) and 2 of 33 control smears (6%) as class II to V (atypical squamous cells of undetermined significance to invasive carcinoma). Using the PAPNET System to scan and review the same smears, the cytotechnologist at UCLA referred 24 case smears to the cytopathologist, who ultimately reclassified 12 of the 29 case smears (41%) and 5 of the 33 control smears (15%) as abnormal.

CONCLUSION

This study supports the use of the PAPNET System as an effective, routine rescreener for the detection of clinically significant false negative gynecologic smears.

摘要

目的

研究PAPNET检测系统的效能及其在临床重要的假阴性妇科涂片上检测重要区域的能力。

研究设计

从1987年完成的一项先前病例对照研究中的女性获取的62份妇科涂片,这些涂片最初被判定为阴性,由两个独立的、不知情的细胞技术专家 - 细胞病理学家团队重新筛查。其中29份“阴性”涂片来自19名女性,这些女性随后被诊断为浸润性鳞状细胞癌,且自述仅有妇科涂片阴性史。33份涂片来自33名未患宫颈癌的对照女性。南加州大学(USC)的一个团队在原研究中对涂片进行了人工重新筛查。另一个团队,加利福尼亚大学洛杉矶分校(UCLA),最近使用PAPNET检测系统对相同的涂片进行重新筛查。这个计算机辅助系统利用神经网络技术在常规制备的妇科涂片上识别和选择潜在异常的细胞图像。PAPNET选择的图像供训练有素的细胞学家复查,细胞学家最终对涂片进行诊断。

结果

1987年USC团队对涂片进行人工重新评估后,29份病例涂片中9份(31%)和33份对照涂片中2份(6%)被重新分类为II至V级(意义不明确的非典型鳞状细胞至浸润癌)。使用PAPNET系统扫描和复查相同的涂片后,UCLA的细胞技术专家将24份病例涂片送交细胞病理学家,细胞病理学家最终将29份病例涂片中12份(41%)和33份对照涂片中5份(15%)重新分类为异常。

结论

本研究支持将PAPNET系统用作检测具有临床意义的假阴性妇科涂片的有效常规复查工具。

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