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Identification of breast tumors from diathermy smoke by differential ion mobility spectrometry.
Sutinen, Maiju; Kontunen, Anton; Karjalainen, Markus; Kiiski, Juha; Hannus, Jill; Tolonen, Teemu; Roine, Antti; Oksala, Niku.
Afiliación
  • Sutinen M; Surgery, Faculty of Medicine and Life Sciences, University of Tampere, Tampere, Finland. Electronic address: sutinen.maiju.r@outlook.com.
  • Kontunen A; BioMediTech Institute and Faculty of Biomedical Sciences and Engineering, Tampere University of Technology, Tampere, Finland.
  • Karjalainen M; BioMediTech Institute and Faculty of Biomedical Sciences and Engineering, Tampere University of Technology, Tampere, Finland.
  • Kiiski J; Department of Musculoskeletal Disease, Division of Plastic Surgery, Tampere University Hospital, Tampere, Finland.
  • Hannus J; Fimlab Laboratories, Tampere, Finland.
  • Tolonen T; Fimlab Laboratories, Tampere, Finland.
  • Roine A; Hatanpää Hospital, City of Tampere, Tampere, Finland.
  • Oksala N; Surgery, Faculty of Medicine and Life Sciences, University of Tampere, Tampere, Finland; Department of Vascular Surgery, Tampere University Hospital, Tampere, Finland.
Eur J Surg Oncol ; 45(2): 141-146, 2019 02.
Article en En | MEDLINE | ID: mdl-30366874
ABSTRACT

INTRODUCTION:

Breast cancer is the most frequent cancer in women worldwide. The primary treatment is breast-conserving surgery or mastectomy with an adequate clearance margin. Diathermy blade is used extensively in breast-conserving surgery. Surgical smoke produced as a side product has cancer-specific molecular features. Differential mobility spectrometry (DMS) is a rapid and affordable technology for analysis of complex gas mixtures. In our study we examined surgical smoke from malignant and benign breast tissue created with a diathermy blade using DMS. MATERIAL AND

METHODS:

Punch biopsies of 4 mm diameter from breast cancer surgical specimens were taken during gross dissection of fresh surgical specimen and placed in a well plate. The measurement system is a custom-built device called automatic tissue analysis system (ATAS) based on a DMS sensor. Each specimen was incised with a diathermy blade and the surgical smoke was analyzed.

RESULTS:

We examined 106 carcinoma samples from 21 malignant breast tumors. Benign samples (n = 198) included macroscopically normal mammary gland (n = 82), adipose tissue (n = 88) and vascular tissue (n = 28). The classification accuracy when comparing malignant samples to all benign samples was 87%. The sensitivity was 80% and the specificity was 90%. The classification accuracy of carcinomas to ductal and lobular was 94%, 47%, respectively.

CONCLUSIONS:

Benign and malignant breast tissue can be identified with ATAS. These results lay foundation for intraoperative margin assessment with DMS from surgical smoke.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Humo / Neoplasias de la Mama / Diatermia / Espectrometría de Movilidad Iónica Tipo de estudio: Diagnostic_studies / Prognostic_studies Límite: Adult / Female / Humans / Middle aged Idioma: En Revista: Eur J Surg Oncol Asunto de la revista: NEOPLASIAS Año: 2019 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Humo / Neoplasias de la Mama / Diatermia / Espectrometría de Movilidad Iónica Tipo de estudio: Diagnostic_studies / Prognostic_studies Límite: Adult / Female / Humans / Middle aged Idioma: En Revista: Eur J Surg Oncol Asunto de la revista: NEOPLASIAS Año: 2019 Tipo del documento: Article