Evidence map›Paper›PMID 40191058›Full record

ArticleJournal of contemporary brachytherapy2025

Volumetric and dosimetric comparison of computed tomography- and trans-abdominal ultrasound-based volumes for image-guided cervix cancer brachytherapy.

Juan Carlos Pari Salas, Kevin Aguirre Urviola, Paola Cynthia Smith Benavides, Digna Cristina Santos Flores, Albert Bedregal Cruz, Danny Giancarlo Apaza Véliz

Abstract read
In one paragraph

Article in Journal of contemporary brachytherapy, 2025. 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
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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

6 authors.

Juan Carlos Pari SalasUniversidad Católica de Santa María, Arequipa, Perú.
Kevin Aguirre UrviolaServicio de Radioterapia-Hospital Goyeneche de Arequipa, Perú.
Paola Cynthia Smith BenavidesServicio de Radioterapia-Hospital Goyeneche de Arequipa, Perú.
Digna Cristina Santos FloresServicio de Radioterapia-Hospital Goyeneche de Arequipa, Perú.
Albert Bedregal CruzServicio de Radioterapia-Hospital Goyeneche de Arequipa, Perú.
Danny Giancarlo Apaza VélizUniversidad Nacional de San Agustín de Arequipa, Perú.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: In cervical cancer, brachytherapy is a key component of multi-disciplinary treatment. Wide scale studies, such as EMBRACE, demonstrate benefits of volume-oriented and image-guided brachytherapy. However, MRI and CT are too expensive for health systems with scarce resources. The aim of the study was to assess whether ultrasound- and CT-based volumes of high-risk clinical target volume (HR-CTV) in organs at risk (OARs) as well as dose values in a given plan are comparable. Material and methods: Eighteen applications were evaluated. After CT scans, axial ultrasound images were acquired in 5 mm steps, serving as a secondary set. Post-prescription, HR-CTV, bladder, and rectum were contoured on ultrasound images. Image sets were compared using CT-based volumes as primary reference. Dice coefficient and Jaccard index were calculated. CT-based dosimetric plan was then compared with ultrasound-based volumes to determine D Results: The mean dose differences between CT and ultrasound volumes for HR-CTV and D Conclusions: Ultrasound-based volume acquisition appears comparable with CT volumetric acquisition in both dosimetric and volumetric terms. Further studies are needed to validate this technique, potentially offering a more affordable and feasible volume-based brachytherapy option for low-income health systems.

Indexed as

3Dbrachytherapycancercervixultrasound

Identifiers

PMID40191058
PMCPMC11966222

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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.