Improving maximal safe brain tumor resection with photoacoustic remote sensing microscopy.


Journal

Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288

Informations de publication

Date de publication:
14 10 2020
Historique:
received: 15 06 2020
accepted: 25 09 2020
entrez: 15 10 2020
pubmed: 16 10 2020
medline: 7 4 2021
Statut: epublish

Résumé

Malignant brain tumors are among the deadliest neoplasms with the lowest survival rates of any cancer type. In considering surgical tumor resection, suboptimal extent of resection is linked to poor clinical outcomes and lower overall survival rates. Currently available tools for intraoperative histopathological assessment require an average of 20 min processing and are of limited diagnostic quality for guiding surgeries. Consequently, there is an unaddressed need for a rapid imaging technique to guide maximal resection of brain tumors. Working towards this goal, presented here is an all optical non-contact label-free reflection mode photoacoustic remote sensing (PARS) microscope. By using a tunable excitation laser, PARS takes advantage of the endogenous optical absorption peaks of DNA and cytoplasm to achieve virtual contrast analogous to standard hematoxylin and eosin (H&E) staining. In conjunction, a fast 266 nm excitation is used to generate large grossing scans and rapidly assess small fields in real-time with hematoxylin-like contrast. Images obtained using this technique show comparable quality and contrast to the current standard for histopathological assessment of brain tissues. Using the proposed method, rapid, high-throughput, histological-like imaging was achieved in unstained brain tissues, indicating PARS' utility for intraoperative guidance to improve extent of surgical resection.

Identifiants

pubmed: 33057037
doi: 10.1038/s41598-020-74160-3
pii: 10.1038/s41598-020-74160-3
pmc: PMC7560683
doi:

Substances chimiques

Eosine Yellowish-(YS) TDQ283MPCW
Hematoxylin YKM8PY2Z55

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

17211

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Auteurs

Benjamin R Ecclestone (BR)

PhotoMedicine Labs, Department of System Design Engineering, University of Waterloo, 200 University Ave W, Waterloo, ON, N2L 3G1, Canada.

Kevan Bell (K)

PhotoMedicine Labs, Department of System Design Engineering, University of Waterloo, 200 University Ave W, Waterloo, ON, N2L 3G1, Canada.
IllumiSonics Inc, Department of System Design Engineering, University of Waterloo, 200 University Ave W, Waterloo, ON, N2L 3G1, Canada.

Saad Abbasi (S)

PhotoMedicine Labs, Department of System Design Engineering, University of Waterloo, 200 University Ave W, Waterloo, ON, N2L 3G1, Canada.

Deepak Dinakaran (D)

IllumiSonics Inc, Department of System Design Engineering, University of Waterloo, 200 University Ave W, Waterloo, ON, N2L 3G1, Canada.
Department of Oncology, Cross Cancer Institute, University of Alberta, 11560 University Avenue, Edmonton, AB, T6G 1Z2, Canada.

Frank K H van Landeghem (FKH)

Department of Laboratory Medicine and Pathology, University of Alberta, 8440 - 112 Street, Edmonton, AB, T6G 2B7, Canada.

John R Mackey (JR)

IllumiSonics Inc, Department of System Design Engineering, University of Waterloo, 200 University Ave W, Waterloo, ON, N2L 3G1, Canada.
Department of Oncology, Cross Cancer Institute, University of Alberta, 11560 University Avenue, Edmonton, AB, T6G 1Z2, Canada.

Paul Fieguth (P)

Vision and Image Processing Lab, Department of System Design Engineering, University of Waterloo, 200 University Ave W, Waterloo, ON, N2L 3G1, Canada.

Parsin Haji Reza (P)

PhotoMedicine Labs, Department of System Design Engineering, University of Waterloo, 200 University Ave W, Waterloo, ON, N2L 3G1, Canada. phajireza@uwaterloo.ca.

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