Evidence map›Paper›PMID 39629088›Full record

ArticleJournal of contemporary brachytherapy2024

MRI-guided brachytherapy for cervical cancer treatment: The significance of bladder morphology in dose distribution planning.

Euncheol Choi, Byungyong Kim, Sang Jun Byun, Jin Hee Kim, Seung Gyu Park, Myeongsoo Kim

Abstract read
In one paragraph

Article in Journal of contemporary brachytherapy, 2024. 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

6 authors.

Euncheol ChoiDepartment of Radiation Oncology, Keimyung University, Dongsan Hospital, Dalgubeol-daero, Daegu, South Korea.
Byungyong KimDepartment of Radiation Oncology, Keimyung University, Dongsan Hospital, Dalgubeol-daero, Daegu, South Korea.
Sang Jun ByunDepartment of Radiation Oncology, Keimyung University, Dongsan Hospital, Dalgubeol-daero, Daegu, South Korea.
Jin Hee KimDepartment of Radiation Oncology, Keimyung University, Dongsan Hospital, Dalgubeol-daero, Daegu, South Korea.
Seung Gyu ParkDepartment of Radiation Oncology, Keimyung University, Dongsan Hospital, Dalgubeol-daero, Daegu, South Korea.
Myeongsoo KimDepartment of Radiation Oncology, Keimyung University, Dongsan Hospital, Dalgubeol-daero, Daegu, South Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: This retrospective study aimed to investigate the influence of bladder filling type (BFT) on the relationship between bladder volume (BV) and maximum absorbed dose (D Material and methods: The study enrolled 269 patients who underwent 3D-optimized ICBT guided by MRI scans between 2016 and 2022. Bladder shape (categorized as tilted, curved, or E) was determined based on specific applicators used. D Results: The tilted group exhibited lower D Conclusions: This study underscores the substantial impact of bladder shape on both the optimal bladder filling volume and maximum absorbed dose in cervical cancer ICBT. The implementation of BFT based on pre-ICBT MRI scans is both practical and beneficial. It accentuates the necessity of accounting for bladder shape when determining appropriate bladder filling volume, thus facilitating effective management of bladder and small bowel doses. Further prospective studies are warranted to assess the effect of BFT on the incidence of cystitis and proctitis following ICBT, all while maintaining consistent bladder distension.

Indexed as

bladder typebladder volumebrachytherapyOAR dose

Identifiers

PMID39629088
PMCPMC11609859

What OpenQuestion holds

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LicenceCC BY-NC-SA
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Registered trials

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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.