Literature DB >> 9389983

Screening for bacterial vaginosis: a novel application of artificial nose technology.

S Chandiok1, B A Crawley, B A Oppenheim, P R Chadwick, S Higgins, K C Persaud.   

Abstract

The AromaScan system was used to analyse vaginal swabs from 68 women attending a genitourinary clinic. Using clinical criteria, subjects were assessed for bacterial vaginosis. After training the AromaScan system to recognise patterns generated from four patients with and four patients without bacterial vaginosis, 16 of the 17 (94%) remaining subjects were correctly identified as having the condition. The positive predictive value of the test was 61.5%. These results indicate that the AromaScan technology may be of value as a screening test for bacterial vaginosis.

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Year:  1997        PMID: 9389983      PMCID: PMC500179          DOI: 10.1136/jcp.50.9.790

Source DB:  PubMed          Journal:  J Clin Pathol        ISSN: 0021-9746            Impact factor:   3.411


  2 in total

1.  Abnormal bacterial colonisation of the genital tract and subsequent preterm delivery and late miscarriage.

Authors:  P E Hay; R F Lamont; D Taylor-Robinson; D J Morgan; C Ison; J Pearson
Journal:  BMJ       Date:  1994-01-29

2.  Nonspecific vaginitis. Diagnostic criteria and microbial and epidemiologic associations.

Authors:  R Amsel; P A Totten; C A Spiegel; K C Chen; D Eschenbach; K K Holmes
Journal:  Am J Med       Date:  1983-01       Impact factor: 4.965

  2 in total
  10 in total

1.  Diagnosis of bacteriuria by detection of volatile organic compounds in urine using an automated headspace analyzer with multiple conducting polymer sensors.

Authors:  S Aathithan; J C Plant; A N Chaudry; G L French
Journal:  J Clin Microbiol       Date:  2001-07       Impact factor: 5.948

Review 2.  Advances in electronic-nose technologies developed for biomedical applications.

Authors:  Alphus D Wilson; Manuela Baietto
Journal:  Sensors (Basel)       Date:  2011-01-19       Impact factor: 3.576

3.  Use of an electronic nose to diagnose Mycobacterium bovis infection in badgers and cattle.

Authors:  R Fend; R Geddes; S Lesellier; H-M Vordermeier; L A L Corner; E Gormley; E Costello; R G Hewinson; D J Marlin; A C Woodman; M A Chambers
Journal:  J Clin Microbiol       Date:  2005-04       Impact factor: 5.948

Review 4.  Clinical application of volatile organic compound analysis for detecting infectious diseases.

Authors:  Shneh Sethi; Ranjan Nanda; Trinad Chakraborty
Journal:  Clin Microbiol Rev       Date:  2013-07       Impact factor: 26.132

5.  Analysis of vaginal acetic acid in patients undergoing treatment for bacterial vaginosis.

Authors:  Amjad N Chaudry; Paul J Travers; Jeffrey Yuenger; Lorraine Colletta; Phillip Evans; Jonathan M Zenilman; Andrew Tummon
Journal:  J Clin Microbiol       Date:  2004-11       Impact factor: 5.948

Review 6.  Systematic Review: The Impact of Cancer Treatment on the Gut and Vaginal Microbiome in Women With a Gynecological Malignancy.

Authors:  Ann Muls; Jervoise Andreyev; Susan Lalondrelle; Alexandra Taylor; Christine Norton; Ailsa Hart
Journal:  Int J Gynecol Cancer       Date:  2017-09       Impact factor: 3.437

7.  Applications and advances in electronic-nose technologies.

Authors:  Alphus D Wilson; Manuela Baietto
Journal:  Sensors (Basel)       Date:  2009-06-29       Impact factor: 3.576

8.  In-vitro diagnosis of single and poly microbial species targeted for diabetic foot infection using e-nose technology.

Authors:  Nurlisa Yusuf; Ammar Zakaria; Mohammad Iqbal Omar; Ali Yeon Md Shakaff; Maz Jamilah Masnan; Latifah Munirah Kamarudin; Norasmadi Abdul Rahim; Nur Zawatil Isqi Zakaria; Azian Azamimi Abdullah; Amizah Othman; Mohd Sadek Yasin
Journal:  BMC Bioinformatics       Date:  2015-05-14       Impact factor: 3.169

Review 9.  Olfaction as a soldier-- a review of the physiology and its present and future use in the military.

Authors:  Palaniappan Ganesh Nagappan; Somasundram Subramaniam; De-Yun Wang
Journal:  Mil Med Res       Date:  2017-03-15

10.  Volatile organic compound analysis, a new tool in the quest for preterm birth prediction-an observational cohort study.

Authors:  Lauren Lacey; Emma Daulton; Alfian Wicaksono; James A Covington; Siobhan Quenby
Journal:  Sci Rep       Date:  2020-07-22       Impact factor: 4.379

  10 in total

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