Evidence map›Paper›PMID 36230598›Full record

ArticleCancers2022

Optimized Adaptive Radiotherapy with Individualized Plan Library for Muscle-Invasive Bladder Cancer Using Internal Target Volume Generation.

Yoon Young Jo, Ji Woon Yea, Jaehyeon Park, Se An Oh, Jae Won Park

Abstract read
In one paragraph

Article in Cancers, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
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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

5 authors.

Yoon Young JoDepartment of Radiation Oncology, Yeungnam University Medical Centre, University of Yeungnam College of Medicine, Daegu 42415, Korea.ORCID 0000-0001-8441-7214
Ji Woon YeaDepartment of Radiation Oncology, Yeungnam University Medical Centre, University of Yeungnam College of Medicine, Daegu 42415, Korea.
Jaehyeon ParkDepartment of Radiation Oncology, Yeungnam University Medical Centre, University of Yeungnam College of Medicine, Daegu 42415, Korea.ORCID 0000-0003-2546-4808
Se An OhDepartment of Radiation Oncology, Yeungnam University Medical Centre, University of Yeungnam College of Medicine, Daegu 42415, Korea.ORCID 0000-0002-8835-2814
Jae Won ParkDepartment of Radiation Oncology, Yeungnam University Medical Centre, University of Yeungnam College of Medicine, Daegu 42415, Korea.ORCID 0000-0003-1100-5301

Funding

National Research Foundation of Korea NRF-2019M3E5D 1A02068143
6 · The paper itself

Abstract

The bladder is subject to filling variation, which poses a challenge to radiotherapy (RT) delivery. We aimed to assess feasibility and clinical outcomes in patients with bladder cancer treated with adaptive RT (ART) using individualized plan libraries. We retrospectively analyzed 19 patients who underwent RT for muscle-invasive bladder cancer (MIBC) in 2015-2021. Four planning computed tomography (CT) scans were acquired at 15-min intervals, and a library of three intensity-modulated RT plans were generated using internal target volumes (ITVs). A post-treatment cone-beam CT (CBCT) scan was acquired daily to assess intra-fraction filling and coverage. All patients completed the treatment, with 408 post-treatment CBCT scans. The bladder was out of the planning target volume (PTV) range in 12 scans. The volumes of the evaluated PTV plans were significantly smaller than those of conventional PTV. The 1-year and 2-year overall survival rates were 88.2% and 63.7%, respectively. Of eight cases that experienced recurrence, only two developed MIBC. There were no grade 3 or higher RT-related adverse events. ART using plan libraries and ITVs demonstrated good survival outcomes with a high local control rate. Irradiated normal tissue volume and treatment margins may be reduced through this approach, potentially resulting in lower toxicity rates.

Indexed as

adaptive radiotherapyplan librarysurvivaltoxicityurinary bladder neoplasms

Identifiers

PMID36230598
PMCPMC9564375

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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.