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Non-invasive multiple cancer screening using trained detection canines and artificial intelligence: a prospective double-blind study
by
Avdalimov, Milana
, Ovcharenko, Adelina
, Arber, Nadir
, Furman-Assaf, Sharon
, Rabinowicz, Assaf
, Half, Elizabeth
, Shmuel, Ronit
in
631/67
/ 631/67/1347
/ 631/67/1504
/ 631/67/1504/1885
/ 631/67/1612
/ 631/67/2322
/ 631/67/589/466
/ Adult
/ Aged
/ Animals
/ Artificial Intelligence
/ Biopsy
/ Breast
/ Breast cancer
/ Breast Neoplasms - diagnosis
/ Cancer
/ Cancer screening
/ Colorectal
/ Colorectal cancer
/ Colorectal carcinoma
/ Colorectal Neoplasms - diagnosis
/ Detection canines
/ Dogs
/ Double-Blind Method
/ Double-blind studies
/ Early Detection of Cancer - methods
/ Female
/ Humanities and Social Sciences
/ Humans
/ Invasiveness
/ Lung
/ Lung cancer
/ Lung Neoplasms - diagnosis
/ Male
/ Malignancy
/ Medical screening
/ Middle Aged
/ multidisciplinary
/ Neoplasms - diagnosis
/ Prospective Studies
/ Prostate
/ Prostate cancer
/ Prostatic Neoplasms - diagnosis
/ Science
/ Science (multidisciplinary)
/ Sensitivity and Specificity
2024
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Non-invasive multiple cancer screening using trained detection canines and artificial intelligence: a prospective double-blind study
by
Avdalimov, Milana
, Ovcharenko, Adelina
, Arber, Nadir
, Furman-Assaf, Sharon
, Rabinowicz, Assaf
, Half, Elizabeth
, Shmuel, Ronit
in
631/67
/ 631/67/1347
/ 631/67/1504
/ 631/67/1504/1885
/ 631/67/1612
/ 631/67/2322
/ 631/67/589/466
/ Adult
/ Aged
/ Animals
/ Artificial Intelligence
/ Biopsy
/ Breast
/ Breast cancer
/ Breast Neoplasms - diagnosis
/ Cancer
/ Cancer screening
/ Colorectal
/ Colorectal cancer
/ Colorectal carcinoma
/ Colorectal Neoplasms - diagnosis
/ Detection canines
/ Dogs
/ Double-Blind Method
/ Double-blind studies
/ Early Detection of Cancer - methods
/ Female
/ Humanities and Social Sciences
/ Humans
/ Invasiveness
/ Lung
/ Lung cancer
/ Lung Neoplasms - diagnosis
/ Male
/ Malignancy
/ Medical screening
/ Middle Aged
/ multidisciplinary
/ Neoplasms - diagnosis
/ Prospective Studies
/ Prostate
/ Prostate cancer
/ Prostatic Neoplasms - diagnosis
/ Science
/ Science (multidisciplinary)
/ Sensitivity and Specificity
2024
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Non-invasive multiple cancer screening using trained detection canines and artificial intelligence: a prospective double-blind study
by
Avdalimov, Milana
, Ovcharenko, Adelina
, Arber, Nadir
, Furman-Assaf, Sharon
, Rabinowicz, Assaf
, Half, Elizabeth
, Shmuel, Ronit
in
631/67
/ 631/67/1347
/ 631/67/1504
/ 631/67/1504/1885
/ 631/67/1612
/ 631/67/2322
/ 631/67/589/466
/ Adult
/ Aged
/ Animals
/ Artificial Intelligence
/ Biopsy
/ Breast
/ Breast cancer
/ Breast Neoplasms - diagnosis
/ Cancer
/ Cancer screening
/ Colorectal
/ Colorectal cancer
/ Colorectal carcinoma
/ Colorectal Neoplasms - diagnosis
/ Detection canines
/ Dogs
/ Double-Blind Method
/ Double-blind studies
/ Early Detection of Cancer - methods
/ Female
/ Humanities and Social Sciences
/ Humans
/ Invasiveness
/ Lung
/ Lung cancer
/ Lung Neoplasms - diagnosis
/ Male
/ Malignancy
/ Medical screening
/ Middle Aged
/ multidisciplinary
/ Neoplasms - diagnosis
/ Prospective Studies
/ Prostate
/ Prostate cancer
/ Prostatic Neoplasms - diagnosis
/ Science
/ Science (multidisciplinary)
/ Sensitivity and Specificity
2024
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Non-invasive multiple cancer screening using trained detection canines and artificial intelligence: a prospective double-blind study
Journal Article
Non-invasive multiple cancer screening using trained detection canines and artificial intelligence: a prospective double-blind study
2024
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Overview
The specificity and sensitivity of a simple non-invasive multi-cancer screening method in detecting breast, lung, prostate, and colorectal cancer in breath samples were evaluated in a double-blind study. Breath samples of 1386 participants (59.7% males, median age 56.0 years) who underwent screening for cancer using gold-standard screening methods, or a biopsy for a suspected malignancy were collected. The samples were analyzed using a bio-hybrid platform comprising trained detection canines and artificial intelligence tools. According to cancer screening/biopsy results, 1048 (75.6%) were negative for cancer and 338 (24.4%) were positive. Among the 338 positive samples, 261 (77.2%) were positive for one of the four cancer types that the bio-hybrid platform was trained to detect, with an overall sensitivity and specificity of 93.9% (95% confidence interval [CI] 90.3-96.2%) and 94.3% (95% CI 92.7%-95.5%), respectively. The sensitivity of each cancer type was similar; breast: 95.0% (95% CI 87.8-98.0%), lung: 95.0% (95% CI 87.8-98.0%), colorectal: 90.0% (95% CI 74.4-96.5%), prostate: 93.0% (95% CI 84.6-97.0%). The sensitivity of 14 other malignant tumors that the bio-hybrid platform was not trained to detect, but identified, was 81.8% (95% CI 71.8%-88.8%). Early cancer (0–2) detection sensitivity was 94.8% (95% CI 91.0%-97.1%). This bio-hybrid multi-cancer screening platform demonstrated high sensitivity and specificity and enables early-stage cancer detection.
Publisher
Nature Publishing Group UK,Nature Publishing Group,Nature Portfolio
Subject
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