Evidence map›Paper›PMID 37501315›Full record

ReviewJournal of applied clinical medical physics2023

A quick guide on implementing and quality assuring 3D printing in radiation oncology.

Michael Ashenafi, Seungkyo Jeong, Joshua N Wancura, Lang Gou, Matthew J Webster, Dandan Zheng

Open access · goldAbstract readReview
In one paragraph

Review in Journal of applied clinical medical physics, 2023. 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
4.7field-weighted citation impact, top 4% 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, 13 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

6 authors at 2 institutions in 1 country.

Michael AshenafiDepartment of Radiation Oncology, University of Rochester Medical Center, Rochester, New York, USA.
Seungkyo JeongDepartment of Applied Mathematics, University of Rochester, Rochester, New York, USA.
Joshua N WancuraDepartment of Radiation Oncology, University of Rochester Medical Center, Rochester, New York, USA.
Lang GouDepartment of Radiation Oncology, University of Rochester Medical Center, Rochester, New York, USA.
Matthew J WebsterDepartment of Radiation Oncology, University of Rochester Medical Center, Rochester, New York, USA.
Dandan ZhengDepartment of Radiation Oncology, University of Rochester Medical Center, Rochester, New York, USA.
University of Rochester Medical Center · USUniversity of Rochester · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As three-dimensional (3D) printing becomes increasingly common in radiation oncology, proper implementation, usage, and ongoing quality assurance (QA) are essential. While there have been many reports on various clinical investigations and several review articles, there is a lack of literature on the general considerations of implementing 3D printing in radiation oncology departments, including comprehensive process establishment and proper ongoing QA. This review aims to guide radiation oncology departments in effectively using 3D printing technology for routine clinical applications and future developments. We attempt to provide recommendations on 3D printing equipment, software, workflow, and QA, based on existing literature and our experience. Specifically, we focus on three main applications: patient-specific bolus, high-dose-rate (HDR) surface brachytherapy applicators, and phantoms. Additionally, cost considerations are briefly discussed. This review focuses on point-of-care (POC) printing in house, and briefly touches on outsourcing printing via mail-order services.

Indexed as

Radiation OncologyHumansPhantoms, ImagingPrinting, Three-DimensionalRadiotherapy DosageRadiotherapy Planning, Computer-Assisted3D printingadditive manufacturingbolusquality assuranceradiation oncologyskin brachytherapy

Identifiers

PMID37501315
PMCPMC10647979
OpenAlexW4385330139

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.