Evidence map›Paper›PMID 42238224›Full record

ReviewWorld journal of radiology2026

Journey through technological advancements in radiation therapy.

Pratibha Singh, Manoj Kumar Singh, Atul Mishra

Abstract readReview
In one paragraph

Review in World journal of radiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Pratibha SinghDepartment of Physics, Institute of Applied Sciences and Humanities, GLA University, Mathura 281406, Uttar Pradesh, India.
Manoj Kumar SinghDepartment of Physics, Institute of Applied Sciences and Humanities, GLA University, Mathura 281406, Uttar Pradesh, India.
Atul MishraDepartment of Radiation Oncology, Uttar Pradesh University of Medical Sciences, Etawah 206130, Uttar Pradesh, India. meetatulmishra@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Radiation therapy (RT) has advanced substantially since the introduction of the first medical linear accelerator, progressing through successive generations of technological innovation that have improved treatment precision, efficiency, and patient safety. This review provides a comprehensive overview of the evolution of RT technologies-from early linear accelerators to contemporary clinical systems-and examines ongoing research shaping the future of radiotherapy. A comprehensive literature search was conducted using PubMed, Scopus, and Web of Science, covering peer-reviewed publications from the era of the first linear accelerator to the present. Studies addressing historical milestones, technological developments, clinical implementation, and emerging research directions in RT were included. The literature demonstrates continuous advancement from early accelerator models to modern high-precision platforms integrating image guidance, adaptive radiotherapy, and motion management. Recent developments include automation, artificial intelligence-driven workflows, magnetic resonance-guided radiotherapy, and biologically informed modeling to enable personalized treatment. Ongoing investigations focus on real-time tumor tracking, radiobiology-guided planning, artificial intelligence-based clinical decision support, and next-generation delivery systems. From its origins to today's state-of-the-art systems, RT has undergone transformative growth. Sustained research and rigorous clinical validation remain essential to effectively integrate emerging innovations and enhance patient outcomes.

Indexed as

Adaptive radiotherapyArtificial intelligence in radiotherapyEmerging radiotherapy technologiesMedical linear acceleratorRadiotherapy techniquesStereotactic radiotherapy

Identifiers

PMID42238224
PMCPMC13226638

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.