1
|
Guirao A, Molins L, Ramón I, Sunyer G, Viñolas N, Marrades R, Sánchez D, Fibla JJ, Boada M, Hernández J, Guzmán R, Libreros A, Gómez-Caro A, Guerrero C, Agustí A. Trained dogs can identify malignant solitary pulmonary nodules in exhaled gas. Lung Cancer 2019; 135:230-233. [PMID: 31235316 DOI: 10.1016/j.lungcan.2019.06.008] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2019] [Revised: 06/04/2019] [Accepted: 06/07/2019] [Indexed: 01/04/2023]
Abstract
OBJECTIVES To investigate the capacity of a trained dog to identify LC in patients with malignant SPN. METHODS We collected 90 exhaled gas samples from 30 patients with SPN (3 samples/patient). As controls we used 61 healthy volunteers and 18 COPD patients without SNP or LC, in each of whom we collected 5 exhaled gas samples (n = 395). The dog (Blat, a 4-year-old crossbreed between a Labrador Retriever and a Pitbull) and the methodology used were the same as previously reported by our group (see: https://drive.google.com/open?id=1R4mOtOtuZkTeb5iOEEv0K9r2kHKlPhWd). RESULTS Of 30 patients with SPN, Blat recognized 27 of them as positive for LC and 3 as negative for LC. These results fully matched post-surgical pathological results. Sensibility was 0.97, Specificity 0.99, Positive Predictive value 0.97 and negative predictive value 0.99. The AUC of the ROC curve was 0.985. CONCLUSIONS Trained dogs can identify accurately the malignant origin of SPN. It is now time to develop technology that can match canine olfaction and facilitate the implementation of this diagnostic approach in the clinic.
Collapse
Affiliation(s)
- A Guirao
- Institut Respiratori, Hospital Clínic, Universitat de Barcelona, Spain; Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain.
| | - L Molins
- Institut Respiratori, Hospital Clínic, Universitat de Barcelona, Spain; Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain; CIBER Enfermedades Respiratorias (CIBERES), Spain
| | - I Ramón
- ARGUS Detection Dogs, Barcelona, Spain
| | - G Sunyer
- CIBER Enfermedades Respiratorias (CIBERES), Spain
| | - N Viñolas
- Institut Clínic de Malalties Hematològiques i Oncològiques, Hospital Clínic, Universitat de Barcelona, Spain
| | - R Marrades
- Institut Respiratori, Hospital Clínic, Universitat de Barcelona, Spain; Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain; CIBER Enfermedades Respiratorias (CIBERES), Spain
| | - D Sánchez
- Institut Respiratori, Hospital Clínic, Universitat de Barcelona, Spain
| | - J J Fibla
- Hospital Universitari Sagrat Cor, Barcelona, Spain
| | - M Boada
- Institut Respiratori, Hospital Clínic, Universitat de Barcelona, Spain
| | - J Hernández
- Hospital Universitari Sagrat Cor, Barcelona, Spain
| | - R Guzmán
- Institut Respiratori, Hospital Clínic, Universitat de Barcelona, Spain
| | - A Libreros
- Institut Respiratori, Hospital Clínic, Universitat de Barcelona, Spain
| | - A Gómez-Caro
- Institut Respiratori, Hospital Clínic, Universitat de Barcelona, Spain
| | - C Guerrero
- Institut Respiratori, Hospital Clínic, Universitat de Barcelona, Spain
| | - A Agustí
- Institut Respiratori, Hospital Clínic, Universitat de Barcelona, Spain; Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain; CIBER Enfermedades Respiratorias (CIBERES), Spain
| |
Collapse
|