Evidence map›Paper›PMID 41164660›Full record

ReviewJournal of pharmacy & bioallied sciences2025

From Pixels to Prototypes: 3D Printing Innovations in Radiology.

Tanmay Srivastava, Shruti Sinha, Shivangi Pandey, Bhavya Srivastava

Abstract readReview
In one paragraph

Review in Journal of pharmacy & bioallied sciences, 2025. 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

4 authors.

Tanmay SrivastavaDepartment of Oral Medicine and Radiology, Saraswati Dental College and Hospital, Lucknow, Uttar Pradesh, India.
Shruti SinhaDepartment of Oral Medicine and Radiology, Saraswati Dental College and Hospital, Lucknow, Uttar Pradesh, India.
Shivangi PandeyDepartment of Oral Medicine and Radiology, Purvanchal Institute of Dental Sciences, Gorakhpur, Uttar Pradesh, India.
Bhavya SrivastavaDepartment of Oral Medicine and Radiology, Saraswati Dental College and Hospital, Lucknow, Uttar Pradesh, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Three-dimensional (3D) printing, a form of additive manufacturing, involves creating physical models from digital computer-aided design (CAD) files tailored to specific dimensions and shapes. This technology has found increasing relevance in advanced radiology by transforming digital imaging data into tangible 3D models. It offers significant benefits in clinical practice, such as treatment planning, procedural simulations, and both medical and patient education. Radiological innovations have enhanced diagnostic accuracy and communication through digital imaging modalities like computed tomography (CT) and magnetic resonance imaging (MRI). These imaging datasets can be converted into the Digital Imaging and Communications in Medicine (DICOM) format and further processed into Standard Tessellation Language (STL) files compatible with 3D printers. The resulting 3D models provide detailed anatomical and pathological insights, opening up new avenues in patient management and care. This article explores the transformative role of 3D printing in radiology, illustrating the process involved through diagrams and highlighting 12 key applications. It emphasizes how radiologists can adopt this technology to address challenges in education, planning, protocol development, and communication.

Indexed as

Anatomic modelsdiagnostic imagingmagnetic resonance imagingradiologythree-dimensional printingX-ray computed tomography

Identifiers

PMID41164660
PMCPMC12563727

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.