Diffuse and nonlinear imaging of multiscale vascular parameters for in vivo monitoring of preclinical mammary tumors.


Journal

Journal of biophotonics
ISSN: 1864-0648
Titre abrégé: J Biophotonics
Pays: Germany
ID NLM: 101318567

Informations de publication

Date de publication:
06 2019
Historique:
received: 05 10 2018
revised: 25 01 2019
accepted: 29 01 2019
pubmed: 2 2 2019
medline: 15 7 2020
entrez: 2 2 2019
Statut: ppublish

Résumé

Diffuse optical imaging (DOI) techniques provide a wide-field or macro assessment of the functional tumor state and have shown substantial promise for monitoring treatment efficacy in cancer. Conversely, intravital microscopy provides a high-resolution view of the tumor state and has played a key role in characterizing treatment response in the preclinical setting. There has been little prior work in investigating how the macro and micro spatial scales can be combined to develop a more comprehensive and translational view of treatment response. To address this, a new multiscale preclinical imaging technique called diffuse and nonlinear imaging (DNI) was developed. DNI combines multiphoton microscopy with spatial frequency domain imaging (SFDI) to provide multiscale data sets of tumor microvascular architecture coregistered within wide-field hemodynamic maps. A novel method was developed to match the imaging depths of both modalities by utilizing informed SFDI spatial frequency selection. An in vivo DNI study of murine mammary tumors revealed multiscale relationships between tumor oxygen saturation and microvessel diameter, and tumor oxygen saturation and microvessel length (|Pearson's ρ| ≥ 0.5, P < 0.05). Going forward, DNI will be uniquely enabling for the investigation of multiscale relationships in tumors during treatment.

Identifiants

pubmed: 30706695
doi: 10.1002/jbio.201800379
doi:

Types de publication

Journal Article Research Support, N.I.H., Extramural Research Support, U.S. Gov't, Non-P.H.S.

Langues

eng

Sous-ensembles de citation

IM

Pagination

e201800379

Subventions

Organisme : NCI NIH HHS
ID : F99 CA223014
Pays : United States
Organisme : NCI NIH HHS
ID : F99CA223014
Pays : United States
Organisme : U.S. Department of Defense
ID : W81XWH-15-1-0070
Pays : International

Informations de copyright

© 2019 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

Auteurs

Kavon Karrobi (K)

Department of Biomedical Engineering, Boston University, Boston, Massachusetts.

Anup Tank (A)

Department of Biomedical Engineering, Boston University, Boston, Massachusetts.

Syeda Tabassum (S)

Department of Electrical and Computer Engineering, Boston University, Boston, Massachusetts.

Vivian Pera (V)

Department of Biomedical Engineering, Boston University, Boston, Massachusetts.

Darren Roblyer (D)

Department of Biomedical Engineering, Boston University, Boston, Massachusetts.

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Classifications MeSH