Literature DB >> 33282492

Numerical investigation of depth-sensitive diffuse reflectance and fluorescence measurements on murine subcutaneous tissue with growing solid tumors.

Evan Carrico1, Tengfei Sun2, Caigang Zhu2.   

Abstract

In most biomedical optical spectroscopy platforms, a fiber-probe consisting of single or multiple illumination and collection fibers was commonly used for the delivery of illuminating light and the collection of emitted light. Typically, the signals from all collection fibers were combined and then sampled to characterize tissue samples. Such simple averaged optical measurements may induce significant errors for in vivo tumor characterization, especially in longitudinal studies where the tumor size and location vary with tumor stages. In this study, we utilized the Monte Carlo technique to optimize the fiber-probe geometries of a spectroscopy platform to enable tumor-sensitive diffuse reflectance and fluorescence measurements on murine subcutaneous tissues with growing solid tumors that have different sizes and depths. Our data showed that depth-sensitive techniques offer improved sensitivity in tumor detection compared to the simple averaged approach in both reflectance and fluorescence measurements. Through the numerical studies, we optimized the source-detector distances, fiber diameters, and numerical apertures for sensitive measurement of small solid tumors with varying size and depth buried in murine subcutaneous tissues. Our study will advance the design of a fiber-probe in an optical spectroscopy system that can be used for longitudinal tumor metabolism and vasculature monitoring.
© 2020 Optical Society of America under the terms of the OSA Open Access Publishing Agreement.

Entities:  

Year:  2020        PMID: 33282492      PMCID: PMC7687953          DOI: 10.1364/BOE.405321

Source DB:  PubMed          Journal:  Biomed Opt Express        ISSN: 2156-7085            Impact factor:   3.732


  24 in total

1.  Analytical model to describe fluorescence spectra of normal and preneoplastic epithelial tissue: comparison with Monte Carlo simulations and clinical measurements.

Authors:  Sung K Chang; Dizem Arifler; Rebekah Drezek; Michele Follen; Rebecca Richards-Kortum
Journal:  J Biomed Opt       Date:  2004 May-Jun       Impact factor: 3.170

Review 2.  Optical spectroscopy: current advances and future applications in cancer diagnostics and therapy.

Authors:  Dj Evers; Bhw Hendriks; Gw Lucassen; Tjm Ruers
Journal:  Future Oncol       Date:  2012-03       Impact factor: 3.404

3.  In vivo multiphoton microscopy of NADH and FAD redox states, fluorescence lifetimes, and cellular morphology in precancerous epithelia.

Authors:  Melissa C Skala; Kristin M Riching; Annette Gendron-Fitzpatrick; Jens Eickhoff; Kevin W Eliceiri; John G White; Nirmala Ramanujam
Journal:  Proc Natl Acad Sci U S A       Date:  2007-11-27       Impact factor: 11.205

4.  A robust Monte Carlo model for the extraction of biological absorption and scattering in vivo.

Authors:  Janelle E Bender; Karthik Vishwanath; Laura K Moore; J Quincy Brown; Vivide Chang; Gregory M Palmer; Nirmala Ramanujam
Journal:  IEEE Trans Biomed Eng       Date:  2009-04       Impact factor: 4.538

5.  Early prediction of skin viability using visible diffuse reflectance spectroscopy and autofluorescence spectroscopy.

Authors:  Caigang Zhu; Shuo Chen; Christopher Hoe-Kong Chui; Bien-Keem Tan; Quan Liu
Journal:  Plast Reconstr Surg       Date:  2014-08       Impact factor: 4.730

6.  Effect of probe geometry and optical properties on the sampling depth for diffuse reflectance spectroscopy.

Authors:  Ricky Hennessy; Will Goth; Manu Sharma; Mia K Markey; James W Tunnell
Journal:  J Biomed Opt       Date:  2014       Impact factor: 3.170

7.  Sampling depth of a diffuse reflectance spectroscopy probe for in-vivo physiological quantification of murine subcutaneous tumor allografts.

Authors:  Gage Greening; Ariel Mundo; Narasimhan Rajaram; Timothy J Muldoon
Journal:  J Biomed Opt       Date:  2018-08       Impact factor: 3.170

8.  Numerical investigation of lens based setup for depth sensitive diffuse reflectance measurements in an epithelial cancer model.

Authors:  Caigang Zhu; Quan Liu
Journal:  Opt Express       Date:  2012-12-31       Impact factor: 3.894

9.  Non-invasive, simultaneous quantification of vascular oxygenation and glucose uptake in tissue.

Authors:  Narasimhan Rajaram; Andrew F Reesor; Christine S Mulvey; Amy E Frees; Nirmala Ramanujam
Journal:  PLoS One       Date:  2015-01-30       Impact factor: 3.240

10.  Metaboloptics: Visualization of the tumor functional landscape via metabolic and vascular imaging.

Authors:  Amy F Martinez; Samuel S McCachren; Marianne Lee; Helen A Murphy; Caigang Zhu; Brian T Crouch; Hannah L Martin; Alaattin Erkanli; Narasimhan Rajaram; Kathleen A Ashcraft; Andrew N Fontanella; Mark W Dewhirst; Nirmala Ramanujam
Journal:  Sci Rep       Date:  2018-03-08       Impact factor: 4.379

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  1 in total

1.  Empirical method for rapid quantification of intrinsic fluorescence signals of key metabolic probes from optical spectra measured on tissue-mimicking turbid medium.

Authors:  Tengfei Sun; Caigang Zhu
Journal:  J Biomed Opt       Date:  2021-04       Impact factor: 3.170

  1 in total

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