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Upcoming imaging concepts and their impact on treatment planning and treatment response in radiation oncology

For 2018, the American Cancer Society estimated that there would be approximately 1.7 million new diagnoses of cancer and about 609,640 cancer-related deaths in the United States. By 2030 these numbers are anticipated to exceed a staggering 21 million annual diagnoses and 13 million cancer-related d...

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Autores principales: Roberts, Paul Russell, Jani, Ashesh B., Packianathan, Satyaseelan, Albert, Ashley, Bhandari, Rahul, Vijayakumar, Srinivasan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6088418/
https://www.ncbi.nlm.nih.gov/pubmed/30103786
http://dx.doi.org/10.1186/s13014-018-1091-1
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author Roberts, Paul Russell
Jani, Ashesh B.
Packianathan, Satyaseelan
Albert, Ashley
Bhandari, Rahul
Vijayakumar, Srinivasan
author_facet Roberts, Paul Russell
Jani, Ashesh B.
Packianathan, Satyaseelan
Albert, Ashley
Bhandari, Rahul
Vijayakumar, Srinivasan
author_sort Roberts, Paul Russell
collection PubMed
description For 2018, the American Cancer Society estimated that there would be approximately 1.7 million new diagnoses of cancer and about 609,640 cancer-related deaths in the United States. By 2030 these numbers are anticipated to exceed a staggering 21 million annual diagnoses and 13 million cancer-related deaths. The three primary therapeutic modalities for cancer treatments are surgery, chemotherapy, and radiation therapy. Individually or in combination, these treatment modalities have provided and continue to provide curative and palliative care to the myriad victims of cancer. Today, CT-based treatment planning is the primary means through which conventional photon radiation therapy is planned. Although CT remains the primary treatment planning modality, the field of radiation oncology is moving beyond the sole use of CT scans to define treatment targets and organs at risk. Complementary tissue scans, such as magnetic resonance imaging (MRI) and positron electron emission (PET) scans, have all improved a physician’s ability to more specifically identify target tissues, and in some cases, international guidelines have even been issued. Moreover, efforts to combine PET and MR to define solid tumors for radiotherapy planning and treatment evaluation are also gaining traction. Keeping these advances in mind, we present brief overviews of other up-and-coming key imaging concepts that appear promising for initial treatment target definition or treatment response from radiation therapy.
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spelling pubmed-60884182018-08-17 Upcoming imaging concepts and their impact on treatment planning and treatment response in radiation oncology Roberts, Paul Russell Jani, Ashesh B. Packianathan, Satyaseelan Albert, Ashley Bhandari, Rahul Vijayakumar, Srinivasan Radiat Oncol Commentary For 2018, the American Cancer Society estimated that there would be approximately 1.7 million new diagnoses of cancer and about 609,640 cancer-related deaths in the United States. By 2030 these numbers are anticipated to exceed a staggering 21 million annual diagnoses and 13 million cancer-related deaths. The three primary therapeutic modalities for cancer treatments are surgery, chemotherapy, and radiation therapy. Individually or in combination, these treatment modalities have provided and continue to provide curative and palliative care to the myriad victims of cancer. Today, CT-based treatment planning is the primary means through which conventional photon radiation therapy is planned. Although CT remains the primary treatment planning modality, the field of radiation oncology is moving beyond the sole use of CT scans to define treatment targets and organs at risk. Complementary tissue scans, such as magnetic resonance imaging (MRI) and positron electron emission (PET) scans, have all improved a physician’s ability to more specifically identify target tissues, and in some cases, international guidelines have even been issued. Moreover, efforts to combine PET and MR to define solid tumors for radiotherapy planning and treatment evaluation are also gaining traction. Keeping these advances in mind, we present brief overviews of other up-and-coming key imaging concepts that appear promising for initial treatment target definition or treatment response from radiation therapy. BioMed Central 2018-08-13 /pmc/articles/PMC6088418/ /pubmed/30103786 http://dx.doi.org/10.1186/s13014-018-1091-1 Text en © The Author(s). 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Commentary
Roberts, Paul Russell
Jani, Ashesh B.
Packianathan, Satyaseelan
Albert, Ashley
Bhandari, Rahul
Vijayakumar, Srinivasan
Upcoming imaging concepts and their impact on treatment planning and treatment response in radiation oncology
title Upcoming imaging concepts and their impact on treatment planning and treatment response in radiation oncology
title_full Upcoming imaging concepts and their impact on treatment planning and treatment response in radiation oncology
title_fullStr Upcoming imaging concepts and their impact on treatment planning and treatment response in radiation oncology
title_full_unstemmed Upcoming imaging concepts and their impact on treatment planning and treatment response in radiation oncology
title_short Upcoming imaging concepts and their impact on treatment planning and treatment response in radiation oncology
title_sort upcoming imaging concepts and their impact on treatment planning and treatment response in radiation oncology
topic Commentary
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6088418/
https://www.ncbi.nlm.nih.gov/pubmed/30103786
http://dx.doi.org/10.1186/s13014-018-1091-1
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