Evidence map›Paper›PMID 29464087›Full record

ArticleOncotarget2018

3D-Printed masks as a new approach for immobilization in radiotherapy - a study of positioning accuracy.

Matthias Felix Haefner, Frederik Lars Giesel, Matthias Mattke, Daniel Rath, Moritz Wade, Jacob Kuypers, Alan Preuss, Hans-Ulrich Kauczor, Jens-Peter Schenk, Juergen Debus and 2 more

Abstract read
In one paragraph

Article in Oncotarget, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

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

  1. Pooled it
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  11. Evaluation of novel 3D-printed and conventional thermoplastic stereotactic high-precision patient fixation masks for radiotherapy.Strahlentherapie und Onkologie : Organ der Deutschen Rontgengesellschaft ... [et al] · 2022
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  14. Individual 3D-printed fixation masks for radiotherapy: first clinical experiences.International journal of computer assisted radiology and surgery · 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

12 authors.

Matthias Felix HaefnerDepartment of Radiation Oncology, Heidelberg University Hospital, 69120 Heidelberg, Germany.
Frederik Lars GieselDepartment of Nuclear Medicine, Heidelberg University Hospital, 69120 Heidelberg, Germany.
Matthias MattkeDepartment of Radiation Oncology, Heidelberg University Hospital, 69120 Heidelberg, Germany.
Daniel RathDepartment of Nuclear Medicine, Heidelberg University Hospital, 69120 Heidelberg, Germany.
Moritz WadeDepartment of Nuclear Medicine, Heidelberg University Hospital, 69120 Heidelberg, Germany.
Jacob KuypersDepartment of Nuclear Medicine, Heidelberg University Hospital, 69120 Heidelberg, Germany.
Alan PreussDepartment of Nuclear Medicine, Heidelberg University Hospital, 69120 Heidelberg, Germany.
Hans-Ulrich KauczorDepartment of Diagnostic and Interventional Radiology, Heidelberg University Hospital, 69120 Heidelberg, Germany.
Jens-Peter SchenkDepartment of Diagnostic and Interventional Radiology, Heidelberg University Hospital, 69120 Heidelberg, Germany.
Juergen DebusDepartment of Radiation Oncology, Heidelberg University Hospital, 69120 Heidelberg, Germany.
Florian SterzingNational Center for Radiation Research in Oncology (NCRO), Heidelberg Institute for Radiation Oncology (HIRO), 69120 Heidelberg, Germany.
Roland UnterhinninghofenInstitute of Antropomatics and Robotics, Karlsruhe Institute of Technology (KIT), 76131 Karlsruhe, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We developed a new approach to produce individual immobilization devices for the head based on MRI data and 3D printing technologies. The purpose of this study was to determine positioning accuracy with healthy volunteers. 3D MRI data of the head were acquired for 8 volunteers. In-house developed software processed the image data to generate a surface mesh model of the immobilization mask. After adding an interface for the couch, the fixation setup was materialized using a 3D printer with acrylonitrile butadiene styrene (ABS). Repeated MRI datasets (n=10) were acquired for all volunteers wearing their masks thus simulating a setup for multiple fractions. Using automatic image-to-image registration, displacements of the head were calculated relative to the first dataset (6 degrees of freedom). The production process has been described in detail. The absolute lateral (x), vertical (y) and longitudinal (z) translations ranged between -0.7 and 0.5 mm, -1.8 and 1.4 mm, and -1.6 and 2.4 mm, respectively. The absolute rotations for pitch (x), yaw (y) and roll (z) ranged between -0.9 and 0.8°, -0.5 and 1.1°, and -0.6 and 0.8°, respectively. The mean 3D displacement was 0.9 mm with a standard deviation (SD) of the systematic and random error of 0.2 mm and 0.5 mm, respectively. In conclusion, an almost entirely automated production process of 3D printed immobilization masks for the head derived from MRI data was established. A high level of setup accuracy was demonstrated in a volunteer cohort. Future research will have to focus on workflow optimization and clinical evaluation.

Indexed as

3D-printinghead maskimmobilizationradiotherapysetup accuracy

Identifiers

PMID29464087
PMCPMC5814227

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Registered trials

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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.