Cargando…
Advanced Tumor Imaging Approaches in Human Tumors
SIMPLE SUMMARY: This review highlights several recent advances in cancer imaging, including artificial intelligence, molecular imaging, and intravital imaging. We discuss these areas’ potential to change the detection, monitoring, and overall treatment of cancer. ABSTRACT: The management of cancer h...
Autores principales: | , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8945965/ https://www.ncbi.nlm.nih.gov/pubmed/35326700 http://dx.doi.org/10.3390/cancers14061549 |
_version_ | 1784674080436256768 |
---|---|
author | Nussbaum, Samuel Shoukry, Mira Ashary, Mohammed Ali Kasbi, Ali Abbaszadeh Baksh, Mizba Gabriel, Emmanuel |
author_facet | Nussbaum, Samuel Shoukry, Mira Ashary, Mohammed Ali Kasbi, Ali Abbaszadeh Baksh, Mizba Gabriel, Emmanuel |
author_sort | Nussbaum, Samuel |
collection | PubMed |
description | SIMPLE SUMMARY: This review highlights several recent advances in cancer imaging, including artificial intelligence, molecular imaging, and intravital imaging. We discuss these areas’ potential to change the detection, monitoring, and overall treatment of cancer. ABSTRACT: The management of cancer has always relied heavily on the imaging modalities used to detect and monitor it. While many of these modalities have been around for decades, the technology surrounding them is always improving, and much has been discovered in recent years about the nature of tumors because of this. There have been several areas that have aided those discoveries. The use of artificial intelligence has already helped immensely in the quality of images taken but has not yet been widely implemented in clinical settings. Molecular imaging has proven to be useful in diagnosing different types of cancers based on the specificity of the probes/contrast agents used. Intravital imaging has already uncovered new information regarding the heterogeneity of the tumor vasculature. These three areas have provided a lot of useful information for the diagnosis and treatment of cancer, but further research and development in human trials is necessary to allow these techniques to fully utilize the information obtained thus far. |
format | Online Article Text |
id | pubmed-8945965 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-89459652022-03-25 Advanced Tumor Imaging Approaches in Human Tumors Nussbaum, Samuel Shoukry, Mira Ashary, Mohammed Ali Kasbi, Ali Abbaszadeh Baksh, Mizba Gabriel, Emmanuel Cancers (Basel) Review SIMPLE SUMMARY: This review highlights several recent advances in cancer imaging, including artificial intelligence, molecular imaging, and intravital imaging. We discuss these areas’ potential to change the detection, monitoring, and overall treatment of cancer. ABSTRACT: The management of cancer has always relied heavily on the imaging modalities used to detect and monitor it. While many of these modalities have been around for decades, the technology surrounding them is always improving, and much has been discovered in recent years about the nature of tumors because of this. There have been several areas that have aided those discoveries. The use of artificial intelligence has already helped immensely in the quality of images taken but has not yet been widely implemented in clinical settings. Molecular imaging has proven to be useful in diagnosing different types of cancers based on the specificity of the probes/contrast agents used. Intravital imaging has already uncovered new information regarding the heterogeneity of the tumor vasculature. These three areas have provided a lot of useful information for the diagnosis and treatment of cancer, but further research and development in human trials is necessary to allow these techniques to fully utilize the information obtained thus far. MDPI 2022-03-18 /pmc/articles/PMC8945965/ /pubmed/35326700 http://dx.doi.org/10.3390/cancers14061549 Text en © 2022 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 | Review Nussbaum, Samuel Shoukry, Mira Ashary, Mohammed Ali Kasbi, Ali Abbaszadeh Baksh, Mizba Gabriel, Emmanuel Advanced Tumor Imaging Approaches in Human Tumors |
title | Advanced Tumor Imaging Approaches in Human Tumors |
title_full | Advanced Tumor Imaging Approaches in Human Tumors |
title_fullStr | Advanced Tumor Imaging Approaches in Human Tumors |
title_full_unstemmed | Advanced Tumor Imaging Approaches in Human Tumors |
title_short | Advanced Tumor Imaging Approaches in Human Tumors |
title_sort | advanced tumor imaging approaches in human tumors |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8945965/ https://www.ncbi.nlm.nih.gov/pubmed/35326700 http://dx.doi.org/10.3390/cancers14061549 |
work_keys_str_mv | AT nussbaumsamuel advancedtumorimagingapproachesinhumantumors AT shoukrymira advancedtumorimagingapproachesinhumantumors AT asharymohammedali advancedtumorimagingapproachesinhumantumors AT kasbialiabbaszadeh advancedtumorimagingapproachesinhumantumors AT bakshmizba advancedtumorimagingapproachesinhumantumors AT gabrielemmanuel advancedtumorimagingapproachesinhumantumors |