Oncotarget

Research Papers:

Papanicolaou Society of Cytopathology new guidelines have a greater ability of risk stratification for pancreatic endoscopic ultrasound-guided fine-needle aspiration specimens

Bo Chen _, Yu Zhao, Jiangang Gu, Huanwen Wu, Zhiyong Liang and Zhilan Meng

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Oncotarget. 2017; 8:8154-8161. https://doi.org/10.18632/oncotarget.14105

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Abstract

Bo Chen1, Yu Zhao1, Jiangang Gu1, Huanwen Wu1, Zhiyong Liang1, Zhilan Meng1

1Department of Pathology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Wangfujing, Beijing, 100730, China

Correspondence to:

Zhilan Meng, email: [email protected]

Keywords: endoscopic ultrasound-guided fine-needle aspiration, Papanicolaou Society of Cytopathology, risk of malignancy, risk stratification, pancreas

Received: October 27, 2016     Accepted: November 23, 2016     Published: December 22, 2016

ABSTRACT

The Papanicolaou Society of Cytopathology has recently proposed a standardized terminology and nomenclature guidelines for pancreatic cytology. However the risk of malignancy associated with the new guidelines has been scarcely studied. In this study, a series of pancreatic cytology cases obtained by endoscopic ultrasound-guided fine-needle aspiration from 294 Chinese patients were retrospectively re-categorized into six categories according the new guidelines. The risks of malignancy were 18.1% for “negative,” 20.0% for “neoplastic,” 57.1% for “nondiagnostic,” 69.2% for “atypical,” 87.5% for “suspicious,” and 100.0% for “positive” respectively. The area under the receiver operating characteristic curve was 0.93 (95% Confidence Interval, 0.90-0.96), which was significantly higher than that associated with old classification system (0.82; 95% Confidence Interval, 0.77-0.87) conventionally used in China. Our investigation demonstrated that the new guidelines have a greater ability of risk stratification than the old classification system conventionally used in China. This may be helpful in giving better predictions of malignancy, thus leading to more personalized treatment strategies.


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