Evidence map›Paper›PMID 27806603›Full record

ArticleMedical physics2016

A depth-sensing technique on 3D-printed compensator for total body irradiation patient measurement and treatment planning.

Min-Young Lee, Bin Han, Cesare Jenkins, Lei Xing, Tae-Suk Suh

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Medical physics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
3.6field-weighted citation impact, top 8% of its field
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

6 citing papers in PubMed, 21 citations in OpenAlex.

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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

5 authors at 2 institutions in 2 countries.

Min-Young LeeDepartment of Biomedical Engineering, College of Medicine, The Catholic University of Korea, Seoul 137-701, South Korea and Research Institute of Biomedical Engineering, College of Medicine, The Catholic University of Korea, Seoul 137-701, South Korea.
Bin HanDepartment of Radiation Oncology, Stanford University School of Medicine, Stanford, California 94305.
Cesare JenkinsDepartment of Radiation Oncology, Stanford University School of Medicine, Stanford, California 94305 and Department of Mechanical Engineering, Stanford University, Stanford, California 94305.
Lei XingDepartment of Radiation Oncology, Stanford University School of Medicine, Stanford, California 94305.
Tae-Suk SuhDepartment of Biomedical Engineering, College of Medicine, The Catholic University of Korea, Seoul 137-701, South Korea and Research Institute of Biomedical Engineering, College of Medicine, The Catholic University of Korea, Seoul 137-701, South Korea.
Stanford University · USCatholic University of Korea · KR

Funding

Computational Tools for Adaptive Radiation TherapyR01CA133474 · NCI · STANFORD UNIVERSITY · PI XING, LEI · 2009 to 2012
$960k
NCI NIH HHS R01 CA133474
6 · The paper itself

Abstract

purposeThe purpose of total body irradiation (TBI) techniques is to deliver a uniform radiation dose to the entire volume of a patient's body. Due to variations in the thickness of the patient, it is difficult to produce such a uniform dose distribution throughout the body. In many techniques, a compensator is used to adjust the dose delivered to various sections of the patient. The current study aims to develop and validate an innovative method of using depth-sensing cameras and 3D printing techniques for TBI treatment planning and compensator fabrication.

methodsA tablet with an integrated depth-sensing camera and motion tracking sensors was used to scan a RANDO™ phantom positioned in a TBI treatment booth to detect and store the 3D surface in a point cloud format. The accuracy of the detected surface was evaluated by comparing extracted body thickness measurements with corresponding measurements from computed tomography (CT) scan images. The thickness, source to surface distance, and off-axis distance of the phantom at different body section were measured for TBI treatment planning. A detailed compensator design was calculated to achieve a uniform dose distribution throughout the phantom. The compensator was fabricated using a 3D printer, silicone molding, and a mixture of wax and tungsten powder. In vivo dosimetry measurements were performed using optically stimulated luminescent detectors.

resultsThe scan of the phantom took approximately 30 s. The mean error for thickness measurements at each section of phantom relative to CT was 0.48 ± 0.27 cm. The average fabrication error for the 3D-printed compensator was 0.16 ± 0.15 mm. In vivo measurements for an end-to-end test showed that overall dose differences were within 5%.

conclusionsA technique for planning and fabricating a compensator for TBI treatment using a depth camera equipped tablet and a 3D printer was demonstrated to be sufficiently accurate to be considered for further investigation.

Indexed as

Printing, Three-DimensionalWhole-Body IrradiationHumansModels, AnatomicRadiotherapy Planning, Computer-Assisted

Identifiers

PMID27806603
PMCPMC5085972
OpenAlexW2541102772

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.