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...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2021-12-01
|
| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/22/1/237 |
| _version_ | 1797497546953719808 |
|---|---|
| author | Joshua Punnoose Henry Nachman Shai Ashkenazi |
| author_facet | Joshua Punnoose Henry Nachman Shai Ashkenazi |
| author_sort | Joshua Punnoose |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-03-10T03:20:46Z |
| format | Article |
| id | doaj.art-133691cf4db14975965415d98c266bdd |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-10T03:20:46Z |
| publishDate | 2021-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-133691cf4db14975965415d98c266bdd2023-11-23T12:19:08ZengMDPI AGSensors1424-82202021-12-0122123710.3390/s22010237Oxygen Imaging for Non-Invasive Metastasis DetectionJoshua Punnoose0Henry Nachman1Shai Ashkenazi2Department of Biomedical Engineering, University of Minnesota, Minneapolis, MN 55455, USADepartment of Physics and Astronomy, University of North Carolina, Chapel Hill, NC 27599, USADepartment of Biomedical Engineering, University of Minnesota, Minneapolis, MN 55455, USASentinel 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.https://www.mdpi.com/1424-8220/22/1/237head and neck cancerimagingoxygen imagingphotoacousticsentinel lymph node biopsy |
| spellingShingle | Joshua Punnoose Henry Nachman Shai Ashkenazi Oxygen Imaging for Non-Invasive Metastasis Detection Sensors head and neck cancer imaging oxygen imaging photoacoustic sentinel lymph node biopsy |
| 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 | head and neck cancer imaging oxygen imaging photoacoustic sentinel lymph node biopsy |
| url | https://www.mdpi.com/1424-8220/22/1/237 |
| work_keys_str_mv | AT joshuapunnoose oxygenimagingfornoninvasivemetastasisdetection AT henrynachman oxygenimagingfornoninvasivemetastasisdetection AT shaiashkenazi oxygenimagingfornoninvasivemetastasisdetection |