Evidence map›Paper›PMID 41164810›Full record

ArticlePrecision radiation oncology2025

Evaluating intra-fraction motion and its dosimetric impact in ethos online adaptive radiotherapy for prostate cancer.

Yoganathan Sa, Ahamed Basith, Rajeev Choudary Apsani, Venkada Manickam Gurusamy, Amine Khemissi, Satheesh Paloor, Saju Divakar, Sarah McCabe, Rabih Hammoud, Noora Al-Hammadi

Abstract read
In one paragraph

Article in Precision radiation oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. 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

10 authors.

Yoganathan SaRadiation Oncology, Saint John Regional Hospital Horizon Health Network Saint John New Brunswick Canada.ORCID https://orcid.org/0000-0002-2857-8483
Ahamed BasithRadiation oncology Hamad Medical Corporation Doha Qatar.
Rajeev Choudary ApsaniRadiation oncology Hamad Medical Corporation Doha Qatar.
Venkada Manickam GurusamyRadiation oncology Hamad Medical Corporation Doha Qatar.
Amine KhemissiRadiation oncology Hamad Medical Corporation Doha Qatar.
Satheesh PaloorRadiation oncology Hamad Medical Corporation Doha Qatar.
Saju DivakarRadiation oncology Hamad Medical Corporation Doha Qatar.
Sarah McCabeRadiation oncology Hamad Medical Corporation Doha Qatar.
Rabih HammoudRadiation oncology Hamad Medical Corporation Doha Qatar.
Noora Al-HammadiRadiation oncology Hamad Medical Corporation Doha Qatar.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: This study evaluated the geometric and dosimetric uncertainties during online adaptive radiotherapy (ART) for prostate cancer. Methods: Sequential cone beam computed tomography (CBCT) scans from 52 sessions involving 13 patients were analyzed. An ART plan was generated using CBCT1, followed by a verification scan (CBCT2) acquired 13.1 ± 3.0 minutes before treatment delivery. New contours (prostate, seminal vesicles, bladder, rectum, and bowel) were delineated on CBCT2 and transferred to CBCT1 for dose distribution analysis. Three dimensional contour variations were quantified, new planning target volume (PTV) margins were calculated, and their dosimetric benefits were assessed. Results: No significant differences were observed in the high-dose volumes (V60 Gy and V57 Gy) of the bladder and rectum ( Conclusion: This study supports symmetric PTV margins of 3 mm for the prostate and 4.5 mm for the seminal vesicles in online ART, thereby contributing to the development of optimized treatment strategies for prostate cancer.

Indexed as

Ethos treatment planning systemplanning target volumeprostate cancer

Identifiers

PMID41164810
PMCPMC12559917

What OpenQuestion holds

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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.