Online adaptive planning methods for intensity-modulated radiotherapy.

Humans Radiotherapy, Intensity-Modulated / methods Radiotherapy Planning, Computer-Assisted / methods Radiotherapy Dosage Artificial Intelligence
IMPT IMRT online adaptive radiation therapy online adaptive treatment planning

Journal

Physics in medicine and biology
ISSN: 1361-6560
Titre abrégé: Phys Med Biol
Pays: England
ID NLM: 0401220

Informations de publication

Date de publication:
11 05 2023
Historique:
received: 29 12 2022
accepted: 17 04 2023
pmc-release: 11 05 2024
medline: 12 5 2023
pubmed: 18 4 2023
entrez: 17 4 2023
Statut: epublish

Résumé

Online adaptive radiation therapy aims at adapting a patient's treatment plan to their current anatomy to account for inter-fraction variations before daily treatment delivery. As this process needs to be accomplished while the patient is immobilized on the treatment couch, it requires time-efficient adaptive planning methods to generate a quality daily treatment plan rapidly. The conventional planning methods do not meet the time requirement of online adaptive radiation therapy because they often involve excessive human intervention, significantly prolonging the planning phase. This article reviews the planning strategies employed by current commercial online adaptive radiation therapy systems, research on online adaptive planning, and artificial intelligence's potential application to online adaptive planning.

Identifiants

DOI: 10.1088/1361-6560/accdb2 PMID: 37068488 PMC: PMC10637515
pubmed: 37068488
doi: 10.1088/1361-6560/accdb2
pmc: PMC10637515
mid: NIHMS1943121
doi:

Types de publication

Journal Article Review Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : NCI NIH HHS
ID : R01 CA266275
Pays : United States
Organisme : NCI NIH HHS
ID : R01 CA266803
Pays : United States

Informations de copyright

Creative Commons Attribution license.

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Auteurs

Zihang Qiu (Z)

Department of Business Analytics, University of Amsterdam, The Netherlands.
Department of Radiation Oncology, Massachusetts General Hospital and Harvard Medical School, United States of America.
ORCID: 0000-0002-0171-6989

Sven Olberg (S)

Department of Radiation Oncology, Massachusetts General Hospital and Harvard Medical School, United States of America.

Dick den Hertog (D)

Department of Business Analytics, University of Amsterdam, The Netherlands.

Ali Ajdari (A)

Department of Radiation Oncology, Massachusetts General Hospital and Harvard Medical School, United States of America.
ORCID: 0000-0003-1700-7519

Thomas Bortfeld (T)

Department of Radiation Oncology, Massachusetts General Hospital and Harvard Medical School, United States of America.

Jennifer Pursley (J)

Department of Radiation Oncology, Massachusetts General Hospital and Harvard Medical School, United States of America.

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Classifications MeSH

questionsmedicales.fr › Eucaryotes › Animaux › Chordés › Vertébrés › Mammifères › Eutheria › Primates › Haplorhini › Catarrhini › Hominidae › Humains › Online adaptive planning methods for...
questionsmedicales.fr › Sciences de l'information › Informatique › Informatique médicale › Applications de l'informatique médicale › Prise de décision assistée par ordinateur › Thérapie assistée par ordinateur › Radiothérapie assistée par ordinateur › Radiothérapie conformationnelle › Radiothérapie conformationnelle avec modulation d'intensité › Online adaptive planning methods for...
questionsmedicales.fr › Sciences de l'information › Informatique › Informatique médicale › Applications de l'informatique médicale › Prise de décision assistée par ordinateur › Thérapie assistée par ordinateur › Radiothérapie assistée par ordinateur › Planification de radiothérapie assistée par ordinateur › Online adaptive planning methods for...
questionsmedicales.fr › Thérapeutique › Radiothérapie › Dosimétrie en radiothérapie › Online adaptive planning methods for...
questionsmedicales.fr › Sciences de l'information › Méthodologies informatiques › Algorithmes › Intelligence artificielle › Online adaptive planning methods for...