Dr. Anup Tank Profile

Dr. Anup Tank

Doctoral Candidate at Boston University

SPIE Involvement:

Author

Publications (4)

Proceedings Article | 7 March 2022 Presentation

Optical scattering serves as a prognostic biomarker for immune-mediated chemotherapy treatment response and resistance in a murine breast cancer model

Anup Tank, Cameron Vergato, David Waxman, Darren Roblyer

Proceedings Volume PC11944, PC1194407 (2022) https://doi.org/10.1117/12.2608388

KEYWORDS: Scattering, Tumors, Tumor growth modeling, Resistance, Breast cancer, Cell death, Therapeutics, Scatter measurement, Modulators, In vivo imaging

Read Abstract +

Proceedings Article | 7 December 2021 Paper

Optical scattering as an early marker of apoptosis during chemotherapy and antiangiogenic therapy in murine models of prostate and breast cancer

Syeda Tabassum, Anup Tank, Fay Wang, Kavon Karrobi, Cameron Vergato, Irving Bigio, David Waxman, Darren Roblyer

Proceedings Volume 11919, 119190N (2021) https://doi.org/10.1117/12.2614583

KEYWORDS: Tumors, Scattering, Cell death, Prostate, Tumor growth modeling, Tissue optics, Breast cancer, Tissues, Oxygen, Optical testing

Read Abstract +

SPIE Journal Paper | 12 August 2020 Open Access

Characterization of bony anatomic regions in pediatric and adult healthy volunteers using diffuse optical spectroscopic imaging

Hannah Peterson, Anup Tank, David Geller, Rui Yang, Richard Gorlick, Bang Hoang, Darren Roblyer

JBO, Vol. 25, Issue 08, 086002, (August 2020) https://doi.org/10.1117/12.10.1117/1.JBO.25.8.086002

KEYWORDS: Bone, Chromophores, Tissue optics, Scattering, Tissues, Oxygen, Statistical analysis, Signal to noise ratio, Spectroscopy

Read Abstract +

Significance: Diffuse optical spectroscopic imaging (DOSI) measures quantitative functional and molecular information in thick tissue in a noninvasive manner using near-infrared light. DOSI may be useful for diagnosis and prognosis of bone pathologies including osteosarcoma and Ewing’s sarcoma, but little is currently known about DOSI-derived parameters in bony anatomic locations where this disease occurs. Aim: Our goal is to quantify the optical characteristics and chromophore content of bony anatomic locations of healthy volunteers and assess differences due to anatomic region, age, sex, ethnicity, race, and body fat. Approach: Fifty-five healthy volunteers aged 4 to 72 were enrolled in the study. The optical properties and quantitative tissue concentrations of oxyhemoglobin, deoxyhemoglobin, water, and lipids were assessed at the distal humerus, distal femur, and proximal tibia. Body fat was assessed using skinfold calipers. One volunteer underwent a more comprehensive body scan from neck to foot to explore chromophore distributions within an individual. Regression analysis was used to identify the most important sources of variation in the measured data set. Results: Statistical differences between bony locations were found for scattering, water, and lipids, but not for hemoglobin. All chromophores had statistical differences with sex, but there were no significant age-related correlations. Regression analysis revealed that body fat measured with skinfold calipers was the most important predictor of oxy-, deoxy-, total hemoglobin, and lipids. Hemoglobin and lipid levels were highly correlated (ρ ≥ 0.7) over the subject population and within the single-subject body scan. Conclusions: DOSI can successfully measure bony anatomic sites where osteosarcomas and Ewing’s sarcomas commonly occur. Future studies of bone pathology using DOSI should account for the variation caused by anatomic region, sex, race and ethnicity, and body fat as these cause substantial variations in DOSI-derived metrics.

DOWNLOAD PAPER

Proceedings Article | 4 March 2019 Presentation

Towards in vivo preclinical monitoring of multiscale vascular structure-function relationships in resistant breast cancers with an integrated diffuse and nonlinear imaging system (Conference Presentation)

Kavon Karrobi, Anahita Pilvar, Anup Tank, Kshama Doshi, David Waxman, Darren Roblyer

Proceedings Volume 10871, 108710E (2019) https://doi.org/10.1117/12.2508872

KEYWORDS: In vivo imaging, Tumors, Breast cancer, Imaging systems, Brain-machine interfaces, Resistance, Therapeutics, Tissues, Preclinical imaging, Nonlinear optics

Read Abstract +

View contact details

UPDATE YOUR PROFILE

Is this your profile? Update it now.

Sign into your SPIE.org account

Don’t have a profile and want one?

Create an account on SPIE.org

Keywords/Phrases

Search In:

Publication Years