Non-invasive multiple cancer screening using trained detection canines and artificial intelligence: a prospective double-blind study
Abstract 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...
Saved in:
| Main Authors: | , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2024-11-01
|
| Series: | Scientific Reports |
| Subjects: | |
| Online Access: | https://doi.org/10.1038/s41598-024-79383-2 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1846165406206656512 |
|---|---|
| author | Elizabeth Half Adelina Ovcharenko Ronit Shmuel Sharon Furman-Assaf Milana Avdalimov Assaf Rabinowicz Nadir Arber |
| author_facet | Elizabeth Half Adelina Ovcharenko Ronit Shmuel Sharon Furman-Assaf Milana Avdalimov Assaf Rabinowicz Nadir Arber |
| author_sort | Elizabeth Half |
| collection | DOAJ |
| description | Abstract 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. |
| format | Article |
| id | doaj-art-78580c2f440e4071a9ed6cfd15051732 |
| institution | Kabale University |
| issn | 2045-2322 |
| language | English |
| publishDate | 2024-11-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj-art-78580c2f440e4071a9ed6cfd150517322024-11-17T12:18:50ZengNature PortfolioScientific Reports2045-23222024-11-0114111010.1038/s41598-024-79383-2Non-invasive multiple cancer screening using trained detection canines and artificial intelligence: a prospective double-blind studyElizabeth Half0Adelina Ovcharenko1Ronit Shmuel2Sharon Furman-Assaf3Milana Avdalimov4Assaf Rabinowicz5Nadir Arber6Gastroenterology Unit, Rambam Health Care CampusMIDGAM, The Israel Biobank for ResearchMedical consultant (independent)Medical writer and consultant (independent)SpotitEarly LtdSpotitEarly LtdIntegrated Cancer Prevention Center, Tel Aviv Souraski Medical CenterAbstract 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.https://doi.org/10.1038/s41598-024-79383-2Artificial intelligenceDetection caninesCancer screeningLungBreastColorectal |
| spellingShingle | Elizabeth Half Adelina Ovcharenko Ronit Shmuel Sharon Furman-Assaf Milana Avdalimov Assaf Rabinowicz Nadir Arber Non-invasive multiple cancer screening using trained detection canines and artificial intelligence: a prospective double-blind study Scientific Reports Artificial intelligence Detection canines Cancer screening Lung Breast Colorectal |
| title | Non-invasive multiple cancer screening using trained detection canines and artificial intelligence: a prospective double-blind study |
| title_full | Non-invasive multiple cancer screening using trained detection canines and artificial intelligence: a prospective double-blind study |
| title_fullStr | Non-invasive multiple cancer screening using trained detection canines and artificial intelligence: a prospective double-blind study |
| title_full_unstemmed | Non-invasive multiple cancer screening using trained detection canines and artificial intelligence: a prospective double-blind study |
| title_short | Non-invasive multiple cancer screening using trained detection canines and artificial intelligence: a prospective double-blind study |
| title_sort | non invasive multiple cancer screening using trained detection canines and artificial intelligence a prospective double blind study |
| topic | Artificial intelligence Detection canines Cancer screening Lung Breast Colorectal |
| url | https://doi.org/10.1038/s41598-024-79383-2 |
| work_keys_str_mv | AT elizabethhalf noninvasivemultiplecancerscreeningusingtraineddetectioncaninesandartificialintelligenceaprospectivedoubleblindstudy AT adelinaovcharenko noninvasivemultiplecancerscreeningusingtraineddetectioncaninesandartificialintelligenceaprospectivedoubleblindstudy AT ronitshmuel noninvasivemultiplecancerscreeningusingtraineddetectioncaninesandartificialintelligenceaprospectivedoubleblindstudy AT sharonfurmanassaf noninvasivemultiplecancerscreeningusingtraineddetectioncaninesandartificialintelligenceaprospectivedoubleblindstudy AT milanaavdalimov noninvasivemultiplecancerscreeningusingtraineddetectioncaninesandartificialintelligenceaprospectivedoubleblindstudy AT assafrabinowicz noninvasivemultiplecancerscreeningusingtraineddetectioncaninesandartificialintelligenceaprospectivedoubleblindstudy AT nadirarber noninvasivemultiplecancerscreeningusingtraineddetectioncaninesandartificialintelligenceaprospectivedoubleblindstudy |