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...

Descripción completa

Detalles Bibliográficos
Autores principales: Nussbaum, Samuel, Shoukry, Mira, Ashary, Mohammed Ali, Kasbi, Ali Abbaszadeh, Baksh, Mizba, Gabriel, Emmanuel
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