Evidence map›Paper›PMID 27129305›Full record

ArticleRadiation oncology (London, England)2016

Feasibility of automated proton therapy plan adaptation for head and neck tumors using cone beam CT images.

Christopher Kurz, Reinoud Nijhuis, Michael Reiner, Ute Ganswindt, Christian Thieke, Claus Belka, Katia Parodi, Guillaume Landry

Abstract read
In one paragraph

Article in Radiation oncology (London, England), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed, 1 pooled it
–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

33 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  19. Adaptive proton therapy.Physics in medicine and biology · 2021
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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

8 authors.

Christopher KurzDepartment of Radiation Oncology, LMU Munich, Munich, Germany.
Reinoud NijhuisDepartment of Radiation Oncology, LMU Munich, Munich, Germany.
Michael ReinerDepartment of Radiation Oncology, LMU Munich, Munich, Germany.
Ute GanswindtDepartment of Radiation Oncology, LMU Munich, Munich, Germany.
Christian ThiekeDepartment of Radiation Oncology, LMU Munich, Munich, Germany.
Claus BelkaDepartment of Radiation Oncology, LMU Munich, Munich, Germany.
Katia ParodiDepartment of Medical Physics, Faculty of Physics, Ludwig-Maximilians-Universität München, Munich, Germany.
Guillaume LandryDepartment of Radiation Oncology, LMU Munich, Munich, Germany. G.landry@lmu.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIntensity modulated proton therapy (IMPT) of head and neck (H&N) tumors may benefit from plan adaptation to correct for the dose perturbations caused by weight loss and tumor volume changes observed in these patients. As cone beam CT (CBCT) is increasingly considered in proton therapy, it may be possible to use available CBCT images following intensity correction for plan adaptation. This is the first study exploring IMPT plan adaptation on CBCT images corrected and delineated by deformable image registration of the planning CT (pCT) to the CBCT, yielding a virtual CT (vCT).

methodsA Morphons algorithm was used to deform the pCTs and corresponding delineations of 9 H&N cancer patients to a weekly CBCT acquired within ±3 days of a control replanning CT scan (rpCT). The IMPT treatment plans were adapted using the vCT and the adapted and original plans were recalculated on the rpCT for dose/volume parameter evaluation of the impact of adaptation.

resultsOn the rpCT, the adapted plans were equivalent to the original plans in terms of target volumes D 95 and V 95, but showed a significant reduction of D 2 in these volumes. OAR doses were mostly equivalent or reduced. In particular, the adapted plans did not reduce parotid gland D mean, but the dose to the optical system. For three patients the spinal cord or brain stem received higher, though well below tolerance, maximum dose. Subsequent tightening of the treatment planning constraints for these OARs on new vCT-adapted plans did not degrade target coverage and yielded pCT equivalent plans on the vCT.

conclusionsAn offline automated procedure to generate an adapted IMPT plan on CBCT images was developed and investigated. When evaluating the adapted plan on a control rpCT we observed reduced D 2 in target volumes as major improvement. OAR sparing was only partially improved by the procedure. Despite potential limitations in the accuracy of the vCT approach, an improved quality of the adapted plans could be achieved.

Indexed as

Cone-Beam Computed TomographyAdultAgedAged, 80 and overAlgorithmsAutomationFeasibility StudiesFemaleHead and Neck NeoplasmsHumansMaleMiddle AgedPattern Recognition, AutomatedProton TherapyRadiographic Image Interpretation, Computer-AssistedRadiotherapy DosageAdaptive radiation therapyCone beam CTDeformable image registrationHead and neck cancerIntensity modulated proton therapy

Identifiers

PMID27129305
PMCPMC4851791

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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.