Literature DB >> 23956311

Smelling the diagnosis: a review on the use of scent in diagnosing disease.

L R Bijland1, M K Bomers, Y M Smulders.   

Abstract

For centuries, our sense of smell has been used as a diagnostic tool in the practice of medicine, be it for recognising gas gangrene on the battle field or diabetic ketoacidosis in the emergency room. In recent decades, many scent detection studies have been performed with human, animal and electronic noses. The ability of humans to diagnose disease by smelling has only rarely been the subject of quantitative studies. Scent detection by animals, on the other hand, has been addressed in several diagnostic studies, which all suggest similar or even superior accuracy compared with standard diagnostic methods. Examples include, amongst many others, the use of dogs for the detection of lung cancer in breath samples, or rats for Mycobacterium tuberculosis detection in sputum. Studies using different types of electronic noses in conditions such as pulmonary disease and cancer have also shown promising results with high overall sensitivity and specificity. However, results of different types of noses are not easily generalisable and independent confirmation studies are generally lacking, which should be a focus for future research. In conclusion, scent detection by animals and electronic noses holds promise for the future and should receive higher priority in terms of research effort and funding.

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Year:  2013        PMID: 23956311

Source DB:  PubMed          Journal:  Neth J Med        ISSN: 0300-2977            Impact factor:   1.422


  22 in total

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Journal:  Br Dent J       Date:  2016-09-09       Impact factor: 1.626

Review 2.  Beyond the paradigm: Combining mass spectrometry and nuclear magnetic resonance for metabolomics.

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Journal:  Prog Nucl Magn Reson Spectrosc       Date:  2017-01-11       Impact factor: 9.795

3.  Breathprints of model murine bacterial lung infections are linked with immune response.

Authors:  Heather D Bean; Jaime Jiménez-Díaz; Jiangjiang Zhu; Jane E Hill
Journal:  Eur Respir J       Date:  2014-10-16       Impact factor: 16.671

4.  In vitro detection of common rhinosinusitis bacteria by the eNose utilising differential mobility spectrometry.

Authors:  Jussi Virtanen; Lauri Hokkinen; Markus Karjalainen; Anton Kontunen; Risto Vuento; Jura Numminen; Markus Rautiainen; Niku Oksala; Antti Roine; Ilkka Kivekäs
Journal:  Eur Arch Otorhinolaryngol       Date:  2018-07-24       Impact factor: 2.503

Review 5.  Behavioral responses to odors from other species: introducing a complementary model of allelochemics involving vertebrates.

Authors:  Birte L Nielsen; Olivier Rampin; Nicolas Meunier; Vincent Bombail
Journal:  Front Neurosci       Date:  2015-06-25       Impact factor: 4.677

6.  Strategies Used by Pet Dogs for Solving Olfaction-Based Problems at Various Distances.

Authors:  Zita Polgár; Ádám Miklósi; Márta Gácsi
Journal:  PLoS One       Date:  2015-07-15       Impact factor: 3.240

7.  Pilot Study on Exhaled Breath Analysis for a Healthy Adult Population in Hawaii.

Authors:  Hunter R Yamanaka; Cynthia Cheung; Jireh S Mendoza; Danson J Oliva; Kealina Elzey-Aberilla; Katelynn A Perrault
Journal:  Molecules       Date:  2021-06-18       Impact factor: 4.411

8.  Differing Alterations of Odor Volatiles Among Pathogenic Stimuli.

Authors:  Patrick Millet; Talia Martin; Maryanne Opiekun; Gary K Beauchamp; Bruce A Kimball
Journal:  Chem Senses       Date:  2021-01-01       Impact factor: 4.985

Review 9.  Glucose prediction by analysis of exhaled metabolites - a systematic review.

Authors:  Jan Hendrik Leopold; Roosmarijn T M van Hooijdonk; Peter J Sterk; Ameen Abu-Hanna; Marcus J Schultz; Lieuwe D J Bos
Journal:  BMC Anesthesiol       Date:  2014-06-17       Impact factor: 2.217

10.  A highly accurate inclusive cancer screening test using Caenorhabditis elegans scent detection.

Authors:  Takaaki Hirotsu; Hideto Sonoda; Takayuki Uozumi; Yoshiaki Shinden; Koshi Mimori; Yoshihiko Maehara; Naoko Ueda; Masayuki Hamakawa
Journal:  PLoS One       Date:  2015-03-11       Impact factor: 3.240

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