Evidence map›Paper›PMID 37068488›Full record

ReviewPhysics in medicine and biology2023

Online adaptive planning methods for intensity-modulated radiotherapy.

Zihang Qiu, Sven Olberg, Dick den Hertog, Ali Ajdari, Thomas Bortfeld, Jennifer Pursley

Abstract readReview
In one paragraph

Review in Physics in medicine and biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

23 citing papers in PubMed.

  1. Dosimetric impact of daily skin surface variations in kidney stereotactic ablative proton therapy.Technical innovations & patient support in radiation oncology · 2026
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  10. CBCT-based online adaptive radiotherapy of the prostate bed: first clinical experience and comparison to nonadaptive conventional IGRT.Strahlentherapie und Onkologie : Organ der Deutschen Rontgengesellschaft ... [et al] · 2025
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Zihang QiuDepartment of Business Analytics, University of Amsterdam, The Netherlands.ORCID 0000-0002-0171-6989
Sven OlbergDepartment of Radiation Oncology, Massachusetts General Hospital and Harvard Medical School, United States of America.
Dick den HertogDepartment of Business Analytics, University of Amsterdam, The Netherlands.
Ali AjdariDepartment of Radiation Oncology, Massachusetts General Hospital and Harvard Medical School, United States of America.ORCID 0000-0003-1700-7519
Thomas BortfeldDepartment of Radiation Oncology, Massachusetts General Hospital and Harvard Medical School, United States of America.
Jennifer PursleyDepartment of Radiation Oncology, Massachusetts General Hospital and Harvard Medical School, United States of America.

Funding

An Ionizing Radiation Acoustics Imaging (iRAI) Approach for guided Flash RadiotherapyR01CA266803 · NCI · H. LEE MOFFITT CANCER CTR & RES INST · PI BORTFELD, THOMAS R., EL NAQA, ISSAM M. · 2022 to 2025
$3.3M
Automated interactive definition of the clinical target volume in radiation oncologyR01CA266275 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI THOMAS R. BORTFELD · 2022 to 2026
$1.6M
NCI NIH HHS R01 CA266275NCI NIH HHS R01 CA266803
6 · The paper itself

Abstract

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.

Indexed as

Radiotherapy, Intensity-ModulatedArtificial IntelligenceHumansRadiotherapy DosageRadiotherapy Planning, Computer-AssistedIMPTIMRTonline adaptive radiation therapyonline adaptive treatment planning

Identifiers

PMID37068488
PMCPMC10637515

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.