A prospective trial for breast cancer diagnosis by canine odorology
Anne Tardivon,
Benoit Mesurolle,
Sylvain Dureau,
Edouard Poncelet,
François Dravet,
Adriana Langer,
Marie-Rose El Bejjani,
Séverine Alran,
Elise Deluche,
Alexia Savignoni,
Amir Kadi,
Pierre Bauër,
Caroline Gilbert,
Michelle Leemans () and
Isabelle Fromantin
Additional contact information
Anne Tardivon: 26 rue d’Ul, Department of Radiology, Curie Institute, PSL University
Benoit Mesurolle: BP 304, Department of Radiology, Elsan, Centre République, 99 avenue de la République
Sylvain Dureau: Curie Institute, Biometrics unit
Edouard Poncelet: Hospital of Valenciennes, Department of Radiology
François Dravet: Bd Professeur Jacques Monod, Department of Surgery, René – Gauducheau Institute, Site Hospitalier Nord
Adriana Langer: 26 rue d’Ul, Department of Radiology, Curie Institute, PSL University
Marie-Rose El Bejjani: 185 Rue Raymond Losserand, Department of Radiology, Saint- Joseph Hospital
Séverine Alran: Paris Saint Joseph Hospital, Breast and Gynecology Surgery department
Elise Deluche: 2 avenue Martin Luther King, Department of Medical Oncology, Dupuytren Hospital
Alexia Savignoni: Curie Institute, Biometrics unit
Amir Kadi: Curie Institute, Biometrics unit
Pierre Bauër: 26 Rue d’Ulm, Wound Care and Research Unit 26, Curie Institute
Caroline Gilbert: 7 avenue du Général de Gaulle, Ecole nationale vétérinaire d’Alfort, Ethologie
Michelle Leemans: Paris-Est University, Clinical Epidemiology and Ageing Unit, Institut Mondor de Recherche Biomédicale, INSERM
Isabelle Fromantin: 26 Rue d’Ulm, Wound Care and Research Unit 26, Curie Institute
Nature Communications, 2025, vol. 16, issue 1, 1-9
Abstract:
Abstract Breast cancer (BC) is a major health concern affecting millions of women worldwide. This study (NCT04217109) explores canine odorology as a method for identifying BC using patient sweat samples. To collect the sweat samples, the night before biopsies, a compress is applied to the affected breast and the sample is subsequently presented to two trained dogs during the training or testing sessions. A positive cancer detection is indicated if a dog halts in front of the compress. A total of 181 patients participate, 107 with breast cancer (82 invasive and 25 in situ) and 74 with benign lesions. Sensitivity (Se) is 68% and specificity (Sp) 27% for a single randomly selected dog. When at least one dog marks a sample, Se rises to 80.4% but Sp drops to 21.6%. If both dogs mark it, Se is 48.6% and Sp 45.9%. Results show limited ability to distinguish benign from malignant lesions. Dogs perform best with mixed samples but struggle when all are negative, with variable responses between dogs. Identifying BC-specific volatile compounds may improve accuracy.
Date: 2025
References: Add references at CitEc
Citations:
Downloads: (external link)
https://www.nature.com/articles/s41467-025-65655-6 Abstract (text/html)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:nat:natcom:v:16:y:2025:i:1:d:10.1038_s41467-025-65655-6
Ordering information: This journal article can be ordered from
https://www.nature.com/ncomms/
DOI: 10.1038/s41467-025-65655-6
Access Statistics for this article
Nature Communications is currently edited by Nathalie Le Bot, Enda Bergin and Fiona Gillespie
More articles in Nature Communications from Nature
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().