Cargando…

Oxygen Imaging for Non-Invasive Metastasis Detection

Sentinel lymph node (SLN) biopsy is an integral part of treatment planning for a variety of cancers as it evaluates whether a tumor has metastasized, an event that significantly reduces survival probability. However, this invasive procedure is associated with patient morbidity, and misses small meta...

Descripción completa

Detalles Bibliográficos
Autores principales: Punnoose, Joshua, Nachman, Henry, Ashkenazi, Shai
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8749708/
https://www.ncbi.nlm.nih.gov/pubmed/35009780
http://dx.doi.org/10.3390/s22010237
_version_ 1784631294309695488
author Punnoose, Joshua
Nachman, Henry
Ashkenazi, Shai
author_facet Punnoose, Joshua
Nachman, Henry
Ashkenazi, Shai
author_sort Punnoose, Joshua
collection PubMed
description Sentinel lymph node (SLN) biopsy is an integral part of treatment planning for a variety of cancers as it evaluates whether a tumor has metastasized, an event that significantly reduces survival probability. However, this invasive procedure is associated with patient morbidity, and misses small metastatic deposits, resulting in the removal of additional nodes for tumors with high metastatic probability despite a negative SLN biopsy. To prevent this over-treatment and its associated morbidities for patients that were truly negative, we propose a tissue oxygen imaging method called Photoacoustic Lifetime Imaging (PALI) as an alternative or supplementary tool for SLN biopsy. As the hyper-metabolic state of cancer cells significantly depresses tissue oxygenation compared to normal tissue even for small metastatic deposits, we hypothesize that PALI can sensitively and specifically detect metastases. Before this hypothesis is tested, however, PALI’s maximum imaging depth must be evaluated to determine the cancer types for which it is best suited. To evaluate imaging depth, we developed and simulated a phantom composed of tubing in a tissue-mimicking, optically scattering liquid. Our simulation and experimental results both show that PALI’s maximum imaging depth is 16 mm. As most lymph nodes are deeper than 16 mm, ways to improve imaging depth, such as directly delivering light to the node using penetrating optical fibers, must be explored.
format Online
Article
Text
id pubmed-8749708
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-87497082022-01-12 Oxygen Imaging for Non-Invasive Metastasis Detection Punnoose, Joshua Nachman, Henry Ashkenazi, Shai Sensors (Basel) Article Sentinel lymph node (SLN) biopsy is an integral part of treatment planning for a variety of cancers as it evaluates whether a tumor has metastasized, an event that significantly reduces survival probability. However, this invasive procedure is associated with patient morbidity, and misses small metastatic deposits, resulting in the removal of additional nodes for tumors with high metastatic probability despite a negative SLN biopsy. To prevent this over-treatment and its associated morbidities for patients that were truly negative, we propose a tissue oxygen imaging method called Photoacoustic Lifetime Imaging (PALI) as an alternative or supplementary tool for SLN biopsy. As the hyper-metabolic state of cancer cells significantly depresses tissue oxygenation compared to normal tissue even for small metastatic deposits, we hypothesize that PALI can sensitively and specifically detect metastases. Before this hypothesis is tested, however, PALI’s maximum imaging depth must be evaluated to determine the cancer types for which it is best suited. To evaluate imaging depth, we developed and simulated a phantom composed of tubing in a tissue-mimicking, optically scattering liquid. Our simulation and experimental results both show that PALI’s maximum imaging depth is 16 mm. As most lymph nodes are deeper than 16 mm, ways to improve imaging depth, such as directly delivering light to the node using penetrating optical fibers, must be explored. MDPI 2021-12-29 /pmc/articles/PMC8749708/ /pubmed/35009780 http://dx.doi.org/10.3390/s22010237 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
Punnoose, Joshua
Nachman, Henry
Ashkenazi, Shai
Oxygen Imaging for Non-Invasive Metastasis Detection
title Oxygen Imaging for Non-Invasive Metastasis Detection
title_full Oxygen Imaging for Non-Invasive Metastasis Detection
title_fullStr Oxygen Imaging for Non-Invasive Metastasis Detection
title_full_unstemmed Oxygen Imaging for Non-Invasive Metastasis Detection
title_short Oxygen Imaging for Non-Invasive Metastasis Detection
title_sort oxygen imaging for non-invasive metastasis detection
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8749708/
https://www.ncbi.nlm.nih.gov/pubmed/35009780
http://dx.doi.org/10.3390/s22010237
work_keys_str_mv AT punnoosejoshua oxygenimagingfornoninvasivemetastasisdetection
AT nachmanhenry oxygenimagingfornoninvasivemetastasisdetection
AT ashkenazishai oxygenimagingfornoninvasivemetastasisdetection