Dépistage du cancer colorectal par détection olfactive canine

Sarkis, Riad; Khazen, Joseph; Issa, Mário; Khazzaka, Aline; Hilal, George; Grandjean, Dominique

doi:10.1016/j.jchirv.2017.07.068

Cited by 5 publications

(4 citation statements)

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“…The first clinical investigation of cancer was published by Willis (16) on bladder cancer in 2010, after having published a proof of principle study in 2004 (17). Several positive studies have been performed on colorectal cancer screening with odour material by canine scent detection (18,19), and some tendencies have been recorded for lung cancer (20,21,22,23), melanoma (24,25), prostate (26,27,28), or liver (29) cancers.…”

Section: B) Non Infectious Diseases Detection Dogsmentioning

confidence: 99%

Detection dogs as a help in the detection of COVID-19 Can the dog alert on COVID-19 positive persons by sniffing axillary sweat samples ? Proof-of-concept study

Grandjean

Sarkis²,

Tourtier³

et al. 2020

Preprint

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The aim of this study is to evaluate if the sweat produced by COVID-19 persons (SARS-CoV-2 PCR positive) has a different odour for trained detection dogs than the sweat produced by non COVID-19 persons. The study was conducted on 3 sites, following the same protocol procedures, and involved a total of 18 dogs. A total of 198 armpits sweat samples were obtained from different hospitals. For each involved dog, the acquisition of the specific odour of COVID-19 sweat samples required from one to four hours, with an amount of positive samples sniffing ranging from four to ten. For this proof of concept, we kept 8 dogs of the initial group (explosive detection dogs and colon cancer detection dogs), who performed a total of 368 trials, and will include the other dogs in our future studies as their adaptation to samples scenting takes more time.The percentages of success of the dogs to find the positive sample in a line containing several other negative samples or mocks (2 to 6) were 100p100 for 4 dogs, and respectively 83p100, 84p100, 90p100 and 94p100 for the others, all significantly different from the percentage of success that would be obtained by chance alone.We conclude that there is a very high evidence that the armpits sweat odour of COVID-19+ persons is different, and that dogs can detect a person infected by the SARS-CoV-2 virus.

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Section: B) Non Infectious Diseases Detection Dogsmentioning

confidence: 99%

Detection dogs as a help in the detection of COVID-19 Can the dog alert on COVID-19 positive persons by sniffing axillary sweat samples ? Proof-of-concept study

Grandjean

Sarkis²,

Tourtier³

et al. 2020

Preprint

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“…Willis et al published the first clinical inquiry related to cancer, specifically bladder cancer [22], following a proof-of-concept study published in 2004 [23]. Several studies followed with positive results on olfactory detection of VOCs by dogs for early testing of colorectal cancer [24,25], and encouraging results for lung cancer [26][27][28][29], melanoma [30,31], prostate cancer [32][33][34] and liver cancer [35]. Pirone and Albertini recently published a systematic review of the existing literature on the subject [36].…”

Section: Introductionmentioning

confidence: 99%

Sars-Cov-2 Virus Infected Patient Identification Through Canine Olfactive Detection on Axillary Sweat Samples

Grandjean

Gallet

Lecoq-Julien

et al. 2021

Preprint

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Facing the COVID-19 pandemic, testing individuals in order to promptly isolate positive people is one of the key actions. One approach to rapid testing might be to consider the olfactory capacities of trained detection dogs in order to develop a non-invasive, rapid and cheap mass detection approach, through the Volatile Organic Compounds (VOCs) signature of SARS-CoV-2 infection. The goal of this study is to determine the individual values of sensitivity and specificity of trained dogs when performing olfactory detection of COVID-19 on axillary sweat samples. A group of 7 dogs was tested on a total of 218 samples (62 positive and 156 negative), completely unknown to the dogs, following a randomised and double-blinded protocol carried out on olfaction cone line-ups. To ensure a wide olfactory range as close as possible to operational conditions, the samples were retrieved from 13 different sites. Sensitivities vary from 87 to 94p100 for 6 dogs, and are above 90p100 for 3 of them. Only one dog, whose sensitivity was 60p100, was not selected to continue the study and enter the operational stage. Sensitivity results vary from 78 to 92p100, with 6 dogs over 85p100 and 4 over 90p100. Thanks to these results, a virtual approach of Positive and Negative Predilection Values (PPV and NPV) was designed, based on an almost perfect diagnostic tool as reference and for increasing prevalence values of SARS-CoV-2 infection. The studies to come on olfactory detection of COVID-19 by dogs will still face several challenges, but the accumulation of positive and encouraging results suggest that it may play an important part in mass COVID-19 pre-testing situations.

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“…Numerous studies have suggested that dogs seem able to detect human diseases [4], such as bladder [5,6], colon [7,8], prostate [9][10][11], and liver [12] cancers, melanoma [13,14], diabetes [15][16][17][18],epileptic fits [19], malaria [20], and bacteriological diseases [21,22]. The high performances of the dogs in these studies encouraged further research [23].…”

Section: Introductionmentioning

confidence: 99%

Use Of Canine Olfactory Detection For COVID-19 Testing Study On U.A.E. Trained Detection Dog Sensitivity

Marzooqi¹,

Lecoq-Julien

Hammadi³

et al. 2021

Preprint

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This study aimed to evaluate the sensitivity of 21 dogs belonging to different United Arab Emirates (UAE) Ministry of Interior (MOI), trained for COVID-19 olfactory detection.The study involved 17 explosives detection dogs, two cadaver detection dogs and two dogs with no previous detection training. Training lasted two weeks before starting the validation protocol. Sequential five and seven-cone line-ups were used with axillary sweat samples from symptomatic COVID-19 individuals (SARS-CoV-2 PCR positive) and from asymptomatic COVID-19 negative individuals (SARS-CoV-2 PCR negative). A total of 1368 trials were performed during validation, including 151 positive and 110 negative samples. Each line-up had one positive sample and at least one negative sample. The dog had to mark the positive sample, randomly positioned behind one of the cones. The dog, handler and data recorder were blinded to the positive sample location.The calculated overall sensitivities were between 71% and 79% for three dogs, between83% and 87% for three other dogs, and equal to or higher than 90% for the remaining 15 dogs (more than two thirds of the 21 dogs).After calculating the overall sensitivity for each dog using all line-ups, “matched” sensitivities were calculated only including line-ups containing COVID-19 positive and negative samples strictly comparable on confounding factors such as diabetes, anosmia, asthma, fever, body pain, diarrhoea, sex, hospital, method of sweat collection and sampling duration. Most of the time, the sensitivities increased after matching.Pandemic conditions in the U.A.E., associated with the desire to use dogs as an efficient mass-pretesting tool has already led to the operational deployment of the study dogs.Future studies will focus on comparatives fields-test results including the impact of the main COVID-19 comorbidities and other respiratory tract infections.

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Dépistage du cancer colorectal par détection olfactive canine

Cited by 5 publications

References 0 publications

Detection dogs as a help in the detection of COVID-19 Can the dog alert on COVID-19 positive persons by sniffing axillary sweat samples ? Proof-of-concept study

Detection dogs as a help in the detection of COVID-19 Can the dog alert on COVID-19 positive persons by sniffing axillary sweat samples ? Proof-of-concept study

Sars-Cov-2 Virus Infected Patient Identification Through Canine Olfactive Detection on Axillary Sweat Samples

Use Of Canine Olfactory Detection For COVID-19 Testing Study On U.A.E. Trained Detection Dog Sensitivity

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