Literature DB >> 11985563

Bethesda 2001.

J H F Smith1.   

Abstract

The Bethesda system (TBS) for reporting cervical/vaginal cytological diagnoses was originally developed in 1988 at a National Cancer Institute (NCI) workshop convened to consider the benefits of increased standardization in the diagnostic reports provided by cytology laboratories. It rapidly gained acceptance in laboratory practice in the USA and beyond and three years later the NCI sponsored another workshop to assess the use of TBS in practice and consider areas for improvement. Subsequently an illustrated guide was published.

Entities:  

Mesh:

Year:  2002        PMID: 11985563     DOI: 10.1046/j.1365-2303.2002.00397.x

Source DB:  PubMed          Journal:  Cytopathology        ISSN: 0956-5507            Impact factor:   2.073


  21 in total

1.  Diagnostic efficiency of differentiating small cancerous and precancerous lesions using mucosal brush smears of the oral cavity--a prospective and blinded study.

Authors:  Felix Peter Koch; Martin Kunkel; Stefan Biesterfeld; Wilfried Wagner
Journal:  Clin Oral Investig       Date:  2010-07-01       Impact factor: 3.573

2.  HPV Type Distribution and Cervical Cytology among HIV-Positive Tanzanian and South African Women.

Authors:  Joke A M Dols; Gregor Reid; Joelle M Brown; Hugo Tempelman; Tj Romke Bontekoe; Wim G V Quint; Mathilde E Boon
Journal:  ISRN Obstet Gynecol       Date:  2012-06-28

3.  Genital warts and infection with human immunodeficiency virus in high-risk women in Burkina Faso: a longitudinal study.

Authors:  Andrea J Low; Tim Clayton; Issouf Konate; Nicolas Nagot; Abdoulaye Ouedraogo; Charlotte Huet; Marie-Noelle Didelot-Rousseau; Michel Segondy; Philippe Van de Perre; Philippe Mayaud
Journal:  BMC Infect Dis       Date:  2011-01-20       Impact factor: 3.090

4.  Time for evidence-based cytology.

Authors:  Pranab Dey
Journal:  Cytojournal       Date:  2007-01-08       Impact factor: 2.091

5.  Human papillomavirus genotype distribution and cervical squamous intraepithelial lesions among high-risk women with and without HIV-1 infection in Burkina Faso.

Authors:  M-N Didelot-Rousseau; N Nagot; V Costes-Martineau; X Vallès; A Ouedraogo; I Konate; H A Weiss; P Van de Perre; P Mayaud; M Segondy
Journal:  Br J Cancer       Date:  2006-07-11       Impact factor: 7.640

6.  Performance of careHPV for detecting high-grade cervical intraepithelial neoplasia among women living with HIV-1 in Burkina Faso and South Africa: HARP study.

Authors:  Michel Segondy; Helen Kelly; Mahlape P Magooa; Florencia Djigma; Jean Ngou; Clare Gilham; Tanvier Omar; Olga Goumbri-Lompo; Pamela Michelow; Sylviane Doutre; Omar Clavero; Admire Chikandiwa; Bernard Sawadogo; Marie-Noelle Didelot; Valérie Costes; Nicolas Méda; Sinead Delany-Moretlwe; Philippe Mayaud
Journal:  Br J Cancer       Date:  2016-07-19       Impact factor: 7.640

7.  Identification of women for referral to colposcopy by neural networks: a preliminary study based on LBC and molecular biomarkers.

Authors:  Petros Karakitsos; Charalampos Chrelias; Abraham Pouliakis; George Koliopoulos; Aris Spathis; Maria Kyrgiou; Christos Meristoudis; Aikaterini Chranioti; Christine Kottaridi; George Valasoulis; Ioannis Panayiotides; Evangelos Paraskevaidis
Journal:  J Biomed Biotechnol       Date:  2012-10-03

8.  Atypical glandular cells in conventional cervical smears: incidence and follow-up.

Authors:  René Scheiden; Catherine Wagener; Ulrich Knolle; Walter Dippel; Catherine Capesius
Journal:  BMC Cancer       Date:  2004-07-19       Impact factor: 4.430

9.  The Application of Classification and Regression Trees for the Triage of Women for Referral to Colposcopy and the Estimation of Risk for Cervical Intraepithelial Neoplasia: A Study Based on 1625 Cases with Incomplete Data from Molecular Tests.

Authors:  Abraham Pouliakis; Efrossyni Karakitsou; Charalampos Chrelias; Asimakis Pappas; Ioannis Panayiotides; George Valasoulis; Maria Kyrgiou; Evangelos Paraskevaidis; Petros Karakitsos
Journal:  Biomed Res Int       Date:  2015-08-03       Impact factor: 3.411

10.  An intelligent clinical decision support system for patient-specific predictions to improve cervical intraepithelial neoplasia detection.

Authors:  Panagiotis Bountris; Maria Haritou; Abraham Pouliakis; Niki Margari; Maria Kyrgiou; Aris Spathis; Asimakis Pappas; Ioannis Panayiotides; Evangelos A Paraskevaidis; Petros Karakitsos; Dimitrios-Dionyssios Koutsouris
Journal:  Biomed Res Int       Date:  2014-04-09       Impact factor: 3.411

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