Evidence map›Paper›PMID 41596046›Full record

ReviewBioengineering (Basel, Switzerland)2026

A Review of 3D-Printed Medical Devices for Cancer Radiation Therapy.

Radiah Pinckney, Santosh Kumar Parupelli, Peter Sandwall, Sha Chang, Salil Desai

Abstract readReview
In one paragraph

Review in Bioengineering (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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.

Radiah PinckneyDepartment of Industrial and Systems Engineering, North Carolina A&T State University, Greensboro, NC 27411, USA.
Santosh Kumar ParupelliCollege of Engineering, North Carolina A&T State University, Greensboro, NC 27411, USA.ORCID 0000-0003-0535-7618
Peter SandwallDepartment of Radiation Oncology, OhioHealth, 335 Glessner Ave, Mansfield, OH 44903, USA.
Sha ChangDepartment of Radiation Oncology, University of North Carolina School of Medicine, Chapel Hill, NC 27599, USA.ORCID 0000-0002-9091-1742
Salil DesaiCollege of Engineering, North Carolina A&T State University, Greensboro, NC 27411, USA.ORCID 0000-0002-6116-2105

Funding

Department of Education Title-III HBGI
6 · The paper itself

Abstract

This review explores the transformative role of three-dimensional (3D) printing in radiation therapy for cancer treatment, emphasizing its potential to deliver patient-specific, cost-effective, and sustainable medical devices. The integration of 3D printing enables rapid fabrication of customized boluses, compensators, immobilization devices, and GRID collimators tailored to individual anatomical and clinical requirements. Comparative analysis reveals that additive manufacturing surpasses conventional machining in design flexibility, lead time reduction, and material efficiency, while offering significant cost savings and recyclability benefits. Case studies demonstrate that 3D-printed GRID collimators achieve comparable dosimetric performance to traditional devices, with peak-to-valley dose ratios optimized for spatially fractionated radiation therapy. Furthermore, emerging applications of artificial intelligence (AI) in conjunction with 3D printing promise automated treatment planning, generative device design, and real-time quality assurance, and are paving the way for adaptive and intelligent radiotherapy solutions. Regulatory considerations, including FDA guidelines for additive manufacturing, are discussed to ensure compliance and patient safety. Despite challenges such as material variability, workflow standardization, and large-scale clinical validation, evidence indicates that 3D printing significantly enhances therapeutic precision, reduces toxicity, and improves patient outcomes. This review underscores the synergy between 3D printing and AI-driven innovations as a cornerstone for next-generation radiation oncology, offering a roadmap for clinical adoption and future research.

Indexed as

cancercollimatormedical deviceradiation therapythree-dimensional printing

Identifiers

PMID41596046
PMCPMC12837786

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.