Cargando…
The “Virtual Biopsy” of Cancerous Lesions in 3D: Non-Invasive Differentiation between Melanoma and Other Lesions Using Vibrational Optical Coherence Tomography
Early detection of skin cancer is of critical importance to provide five year survival rates that approach 99%. By 2050, one out of five Americans by age 70 will develop some form of skin cancer. This will result in a projected rate of 50 million skin biopsies per year given the current rate of esca...
Autores principales: | , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8700642/ https://www.ncbi.nlm.nih.gov/pubmed/34940035 http://dx.doi.org/10.3390/dermatopathology8040058 |
_version_ | 1784620806399066112 |
---|---|
author | Silver, Frederick H. Deshmukh, Tanmay Kelkar, Nikita Ritter, Kelly Ryan, Nicole Nadiminti, Hari |
author_facet | Silver, Frederick H. Deshmukh, Tanmay Kelkar, Nikita Ritter, Kelly Ryan, Nicole Nadiminti, Hari |
author_sort | Silver, Frederick H. |
collection | PubMed |
description | Early detection of skin cancer is of critical importance to provide five year survival rates that approach 99%. By 2050, one out of five Americans by age 70 will develop some form of skin cancer. This will result in a projected rate of 50 million skin biopsies per year given the current rate of escalation. In addition, the ability to differentiate between pigmented lesions and melanomas has proven a diagnostic challenge. While dermoscopy and visual analysis are useful in identifying many skin lesions, additional non-invasive techniques are needed to assist in the analysis of difficult to diagnose skin tumors. To augment dermoscopy data, we have developed 3D maps based on physical biomarker characteristics of benign and cancerous lesions using vibrational optical coherence tomography (VOCT). 3D images based on quantitative physical data involving changes in cellular and fibrous tissue stiffness along with changes in vascular quality are used to map and evaluate different types of cancers. 3D tumor maps constructed using quantitative VOCT data and OCT images have been used to characterize the differences between melanoma and other lesions. These characteristics can be used to plan the excision of difficult lesions where extensive surgery may be needed to remove the entire tumor in one step. In addition, it is now possible to use dermoscopy and VOCT to non-invasively differentiate between different cancerous lesion types using measurements of the resonant frequency of new cellular and vascular peaks. Quantitative VOCT information along with dermoscopic findings can be collected and analyzed remotely using artificial intelligence to improve cancerous tissue diagnosis. |
format | Online Article Text |
id | pubmed-8700642 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-87006422021-12-24 The “Virtual Biopsy” of Cancerous Lesions in 3D: Non-Invasive Differentiation between Melanoma and Other Lesions Using Vibrational Optical Coherence Tomography Silver, Frederick H. Deshmukh, Tanmay Kelkar, Nikita Ritter, Kelly Ryan, Nicole Nadiminti, Hari Dermatopathology (Basel) Article Early detection of skin cancer is of critical importance to provide five year survival rates that approach 99%. By 2050, one out of five Americans by age 70 will develop some form of skin cancer. This will result in a projected rate of 50 million skin biopsies per year given the current rate of escalation. In addition, the ability to differentiate between pigmented lesions and melanomas has proven a diagnostic challenge. While dermoscopy and visual analysis are useful in identifying many skin lesions, additional non-invasive techniques are needed to assist in the analysis of difficult to diagnose skin tumors. To augment dermoscopy data, we have developed 3D maps based on physical biomarker characteristics of benign and cancerous lesions using vibrational optical coherence tomography (VOCT). 3D images based on quantitative physical data involving changes in cellular and fibrous tissue stiffness along with changes in vascular quality are used to map and evaluate different types of cancers. 3D tumor maps constructed using quantitative VOCT data and OCT images have been used to characterize the differences between melanoma and other lesions. These characteristics can be used to plan the excision of difficult lesions where extensive surgery may be needed to remove the entire tumor in one step. In addition, it is now possible to use dermoscopy and VOCT to non-invasively differentiate between different cancerous lesion types using measurements of the resonant frequency of new cellular and vascular peaks. Quantitative VOCT information along with dermoscopic findings can be collected and analyzed remotely using artificial intelligence to improve cancerous tissue diagnosis. MDPI 2021-12-13 /pmc/articles/PMC8700642/ /pubmed/34940035 http://dx.doi.org/10.3390/dermatopathology8040058 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Silver, Frederick H. Deshmukh, Tanmay Kelkar, Nikita Ritter, Kelly Ryan, Nicole Nadiminti, Hari The “Virtual Biopsy” of Cancerous Lesions in 3D: Non-Invasive Differentiation between Melanoma and Other Lesions Using Vibrational Optical Coherence Tomography |
title | The “Virtual Biopsy” of Cancerous Lesions in 3D: Non-Invasive Differentiation between Melanoma and Other Lesions Using Vibrational Optical Coherence Tomography |
title_full | The “Virtual Biopsy” of Cancerous Lesions in 3D: Non-Invasive Differentiation between Melanoma and Other Lesions Using Vibrational Optical Coherence Tomography |
title_fullStr | The “Virtual Biopsy” of Cancerous Lesions in 3D: Non-Invasive Differentiation between Melanoma and Other Lesions Using Vibrational Optical Coherence Tomography |
title_full_unstemmed | The “Virtual Biopsy” of Cancerous Lesions in 3D: Non-Invasive Differentiation between Melanoma and Other Lesions Using Vibrational Optical Coherence Tomography |
title_short | The “Virtual Biopsy” of Cancerous Lesions in 3D: Non-Invasive Differentiation between Melanoma and Other Lesions Using Vibrational Optical Coherence Tomography |
title_sort | “virtual biopsy” of cancerous lesions in 3d: non-invasive differentiation between melanoma and other lesions using vibrational optical coherence tomography |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8700642/ https://www.ncbi.nlm.nih.gov/pubmed/34940035 http://dx.doi.org/10.3390/dermatopathology8040058 |
work_keys_str_mv | AT silverfrederickh thevirtualbiopsyofcancerouslesionsin3dnoninvasivedifferentiationbetweenmelanomaandotherlesionsusingvibrationalopticalcoherencetomography AT deshmukhtanmay thevirtualbiopsyofcancerouslesionsin3dnoninvasivedifferentiationbetweenmelanomaandotherlesionsusingvibrationalopticalcoherencetomography AT kelkarnikita thevirtualbiopsyofcancerouslesionsin3dnoninvasivedifferentiationbetweenmelanomaandotherlesionsusingvibrationalopticalcoherencetomography AT ritterkelly thevirtualbiopsyofcancerouslesionsin3dnoninvasivedifferentiationbetweenmelanomaandotherlesionsusingvibrationalopticalcoherencetomography AT ryannicole thevirtualbiopsyofcancerouslesionsin3dnoninvasivedifferentiationbetweenmelanomaandotherlesionsusingvibrationalopticalcoherencetomography AT nadimintihari thevirtualbiopsyofcancerouslesionsin3dnoninvasivedifferentiationbetweenmelanomaandotherlesionsusingvibrationalopticalcoherencetomography AT silverfrederickh virtualbiopsyofcancerouslesionsin3dnoninvasivedifferentiationbetweenmelanomaandotherlesionsusingvibrationalopticalcoherencetomography AT deshmukhtanmay virtualbiopsyofcancerouslesionsin3dnoninvasivedifferentiationbetweenmelanomaandotherlesionsusingvibrationalopticalcoherencetomography AT kelkarnikita virtualbiopsyofcancerouslesionsin3dnoninvasivedifferentiationbetweenmelanomaandotherlesionsusingvibrationalopticalcoherencetomography AT ritterkelly virtualbiopsyofcancerouslesionsin3dnoninvasivedifferentiationbetweenmelanomaandotherlesionsusingvibrationalopticalcoherencetomography AT ryannicole virtualbiopsyofcancerouslesionsin3dnoninvasivedifferentiationbetweenmelanomaandotherlesionsusingvibrationalopticalcoherencetomography AT nadimintihari virtualbiopsyofcancerouslesionsin3dnoninvasivedifferentiationbetweenmelanomaandotherlesionsusingvibrationalopticalcoherencetomography |