Lipid-weighted intraoperative photoacoustic tomography of breast tumors: Volumetric comparison to preoperative MRI.

Acoustic transducers Breast cancer Dynamic contrast enhanced MRI Intraoperative imaging Lipid weighted imaging Photoacoustic tomography Tumor volume

Journal

Photoacoustics
ISSN: 2213-5979
Titre abrégé: Photoacoustics
Pays: Germany
ID NLM: 101622604

Informations de publication

Date de publication:
Jun 2020
Historique:
received: 11 09 2019
revised: 07 01 2020
accepted: 29 01 2020
entrez: 20 5 2020
pubmed: 20 5 2020
medline: 20 5 2020
Statut: epublish

Résumé

With a lifetime risk of 1 in 8, breast cancer continues to be a major concern for women and their physicians. The optimal treatment of the disease depends on the stage of the cancer at diagnosis, which is typically assessed using medical imaging. However, currently employed imaging systems for breast tumor measurement rarely agree perfectly. Our group developed an Intraoperative Photoacoustic Screening (iPAS) soft tissue scanner featuring high bulk tissue sensitivity, a clinically compatible scan-time of 6 min, imaging depths greater than 2 cm and the capability to visualize whole breast tumors based on their lipid, rather than hemoglobin, profile. Here, we report on the first clinical experience with breast cancer patients by comparing tumor-measurement using iPAS, preoperative dynamic contrast enhanced magnetic resonance imaging (DCE-MRI) and gold-standard pathology. Tumor size was measured volumetrically for iPAS and DCE-MRI, and separately using maximum diameters for pathology, DCE-MRI and iPAS. Comparisons were performed using Pearson's correlation coefficients, and the non-parametric Wilcoxon signed-rank test. Twelve consecutive patients were included in the study, contingent on pathologically documented invasive carcinoma. iPAS volumetric tumor size was positively correlated to DCE-MRI (Pearson's r = 0.78, p = 0.003) and not significantly different (Wilcoxon, p = 0.97). In comparison to pathology, tumor diameters given by iPAS were positively correlated (Pearson's r = 0.87, p = 0.0002) and significantly different (Wilcoxon, p = 0.0015). The results indicated that volumetric-measurement of invasive breast tumors with iPAS is similar to that of DCE-MRI. On the other hand, tumor diameter measurements were less reliable. Beyond enhancing surgical specimen examination, an extension of this technology to diagnostic imaging promises a new perspective on tumor assessment, potentially improving our current understanding and treatment of breast cancer.

Identifiants

pubmed: 32426228
doi: 10.1016/j.pacs.2020.100165
pii: S2213-5979(20)30005-7
pii: 100165
pmc: PMC7226881
doi:

Types de publication

Journal Article

Langues

eng

Pagination

100165

Informations de copyright

© 2020 The Author(s).

Déclaration de conflit d'intérêts

The authors have no relevant financial interests in the manuscript and no other potential conflicts of interest to disclose.

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Auteurs

Ivan Kosik (I)

Imaging Program, Lawson Health Research Institute, London, Ontario, Canada.
Department of Medical Biophysics, Schulich School of Medicine and Dentistry, The University of Western Ontario, London, Ontario, Canada.

Muriel Brackstone (M)

Department of Oncology, Schulich School of Medicine & Dentistry, The University of Western Ontario, London, Ontario, Canada.
Department of Surgery, Schulich School of Medicine & Dentistry, The University of Western Ontario, London, Ontario, Canada.

Anat Kornecki (A)

Imaging Program, Lawson Health Research Institute, London, Ontario, Canada.
Department of Medical Imaging, Schulich School of Medicine and Dentistry, The University of Western Ontario, London, Ontario, Canada.

Astrid Chamson-Reig (A)

Imaging Program, Lawson Health Research Institute, London, Ontario, Canada.

Philip Wong (P)

Imaging Program, Lawson Health Research Institute, London, Ontario, Canada.
Department of Medical Biophysics, Schulich School of Medicine and Dentistry, The University of Western Ontario, London, Ontario, Canada.

Jeffrey J L Carson (JJL)

Imaging Program, Lawson Health Research Institute, London, Ontario, Canada.
Department of Medical Biophysics, Schulich School of Medicine and Dentistry, The University of Western Ontario, London, Ontario, Canada.
Department of Surgery, Schulich School of Medicine & Dentistry, The University of Western Ontario, London, Ontario, Canada.
Department of Physics and Astronomy, Schulich School of Medicine and Dentistry, The University of Western Ontario, London, Ontario, Canada.

Classifications MeSH