Evidence map›Paper›PMID 37438966›Full record

ArticleJournal of applied clinical medical physics2023

Evaluation of bladder filling effects on the dose distribution during radiotherapy for cervical cancer based on daily CT images.

Fan Zhang, Mi Zhou, Gang Wang, Xutong Li, Lu Yue, Lihua Deng, Kun Chi, Kai Chen, Zhenyu Qi, Xiaowu Deng and 2 more

Abstract read
In one paragraph

Article in Journal of applied clinical medical physics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
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  5. Article
  6. Adaptive assessment based on fractional CBCT images for cervical cancer.Journal of applied clinical medical physics · 2024
    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

12 authors.

Fan ZhangDepartment of Radiation Oncology, State Key Laboratory of Oncology in South China, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Sun Yat-sen University Cancer Center, Guangzhou, China.
Mi ZhouDepartment of Radiation Oncology, Qingdao Municipal Hospital, Qingdao, China.
Gang WangDepartment of Radiation Oncology, Qingdao Municipal Hospital, Qingdao, China.
Xutong LiDepartment of Radiation Oncology, Qingdao Municipal Hospital, Qingdao, China.
Lu YueDepartment of Radiation Oncology, Qingdao Municipal Hospital, Qingdao, China.
Lihua DengDepartment of Radiation Oncology, Qingdao Municipal Hospital, Qingdao, China.
Kun ChiDepartment of Radiation Oncology, Qingdao Municipal Hospital, Qingdao, China.
Kai ChenDepartment of Radiation Oncology, State Key Laboratory of Oncology in South China, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Sun Yat-sen University Cancer Center, Guangzhou, China.
Zhenyu QiDepartment of Radiation Oncology, State Key Laboratory of Oncology in South China, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Sun Yat-sen University Cancer Center, Guangzhou, China.
Xiaowu DengDepartment of Radiation Oncology, State Key Laboratory of Oncology in South China, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Sun Yat-sen University Cancer Center, Guangzhou, China.
Yinglin PengDepartment of Radiation Oncology, State Key Laboratory of Oncology in South China, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Sun Yat-sen University Cancer Center, Guangzhou, China.
Yimei LiuDepartment of Radiation Oncology, State Key Laboratory of Oncology in South China, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Sun Yat-sen University Cancer Center, Guangzhou, China.

Funding

2020 Qingdao Medical and Health Scientific Research Plan Project 2020-WJZD027Beijing Kechuang Medical Development Foundation KC2021-JX-0186-100Cancer Precision Radiotherapy Spark Program of China International Medical Foundation 2019-N-11-20National Natural Science Foundation of China 12005316Science and Technology Program of Guangzhou, China 202206010154Science and Technology Program of Guangzhou, China 202206010180
6 · The paper itself

Abstract

purposeThis study aimed to assess the effects of bladder filling during cervical cancer radiotherapy on target volume and organs at risk (OARs) dose based on daily computed tomography (daily-CT) images and provide bladder-volume-based dose prediction models.

methodsNineteen patients (475 daily-CTs) comprised the study group, and five patients comprised the validation set (25 daily-CTs). Target volumes and OARs were delineated on daily-CT images and the treatment plan was recalculated accordingly. The deviation from the planning bladder volume (DVB), the correlation between DVB and clinical (CTV)/planning (PTV) target volume in terms of prescribed dose coverage, and the relationship of small bowel volume and bladder dose with the ratio of bladder volume (RVB) were analyzed.

resultsIn all cases, the prescribed dose coverage in the CTV was >95% when DVB was <200 cm

conclusionsThis study assessed dosimetry and volume effects of bladder filling on target and OARs based on daily-CT images. We established a quantitative relationship between these parameters, providing dose prediction models for cervical cancer radiotherapy.

Indexed as

Radiotherapy, Intensity-ModulatedUterine Cervical NeoplasmsFemaleHumansOrgans at RiskRadiotherapy DosageRadiotherapy Planning, Computer-AssistedTomography, X-Ray ComputedUrinary Bladderbladder fillingcervical cancerdaily CTdose distributionradiotherapy

Identifiers

PMID37438966
PMCPMC10647976

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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.