Evidence map›Paper›PMID 41244760›Full record

ReviewFrontiers in medicine2025

Innovative approaches in precision radiation oncology: advanced imaging technologies and challenges which shape the future of radiation therapy.

Yue Yan, Daniel A Alexander, Bryan P Bednarz, Lawrence F Bronk, Huixiao Chen, David J Gladstone, Bin Han, Christopher M Iannuzzi, Yuting Li, Ngoc Nguyen and 6 more

Erratum issuedAbstract readReview
In one paragraph

Review in Frontiers in medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Review
  6. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

16 authors.

Yue YanDepartment of Radiation Oncology & Applied Sciences, Dartmouth-Hitchcock Medical Center, Lebanon, NH, United States.
Daniel A AlexanderDepartment of Radiation Oncology & Applied Sciences, Dartmouth-Hitchcock Medical Center, Lebanon, NH, United States.
Bryan P BednarzDepartment of Medical Physics, University of Wisconsin Madison, Madison, WI, United States.
Lawrence F BronkDepartment of Radiation Physics, University of Texas MD Anderson Cancer Center, Houston, TX, United States.
Huixiao ChenDepartment of Therapeutic Radiology, Yale University School of Medicine, New Haven, CT, United States.
David J GladstoneDepartment of Radiation Oncology & Applied Sciences, Dartmouth-Hitchcock Medical Center, Lebanon, NH, United States.
Bin HanDepartment of Radiation Oncology, Stanford University, Stanford, CA, United States.
Christopher M IannuzziHartford Health Care Cancer Institute, St. Vincent's Medical Center, Bridgeport, CT, United States.
Yuting LiDepartment of Radiation Physics, University of Texas MD Anderson Cancer Center, Houston, TX, United States.
Ngoc NguyenDepartment of Therapeutic Radiology, Yale University School of Medicine, New Haven, CT, United States.
Natasha MulengaThayer School of Engineering, Dartmouth College, Hanover, NH, United States.
Natalie N ViscarielloDepartment of Radiation Oncology, Heersink School of Medicine, University of Alabama at Birmingham, Birmingham, AL, United States.
Yuenan WangHartford Health Care Cancer Institute, St. Vincent's Medical Center, Bridgeport, CT, United States.
Joseph WeygandDepartment of Radiation Oncology & Applied Sciences, Dartmouth-Hitchcock Medical Center, Lebanon, NH, United States.
Yana ZlatevaDepartment of Radiation Physics, University of Texas MD Anderson Cancer Center, Houston, TX, United States.
Fada GuanDepartment of Radiation Physics, University of Texas MD Anderson Cancer Center, Houston, TX, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Radiation oncology is undergoing a transformative shift toward precision medicine through unprecedented advances in imaging technologies that enable increasingly personalized and adaptive cancer treatment. This comprehensive review synthesizes the underlying physical principles, current clinical applications, technical challenges, and quality assurance requirements across the complete spectrum of emerging imaging-guided radiation therapy approaches. We examine magnetic resonance-guided radiotherapy systems that enable daily soft-tissue visualization and online plan adaptation, positron emission tomography-guided platforms that allow real-time tracking of metabolically active tumor regions, advanced cone beam computed tomography systems supporting rapid adaptive workflows through artificial intelligence-enhanced image generation, and novel applications including Cherenkov radiation imaging and stereoscopic guidance with surface tracking. For proton therapy, we address innovations spanning dual-energy computed tomography, proton computed tomography, and

Indexed as

advanced quantitative imagingCherenkov radiation imagingcone beam computed tomographygenerative image synthesisimaging innovations in proton therapymagnetic resonance imaging guided radiotherapypositron emission tomographystereoscopic imaging and surface guidance

Identifiers

PMID41244760
PMCPMC12613237

What OpenQuestion holds

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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.