Evidence map›Paper›PMID 35365155›Full record

ArticleRadiation oncology (London, England)2022

Evaluating the impact of possible interobserver variability in CBCT-based soft-tissue matching using TCP/NTCP models for prostate cancer radiotherapy.

Xiangbin Zhang, Xin Wang, Xiaoyu Li, Li Zhou, Shihong Nie, Changhu Li, Xuetao Wang, Guyu Dai, Zhonghua Deng, Renming Zhong

Abstract read
In one paragraph

Article in Radiation oncology (London, England), 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
  2. Organ-contour-driven auto-matching algorithm in image-guided radiotherapy.Journal of applied clinical medical physics · 2024
    Article
  3. Article
  4. 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.

Xiangbin ZhangDivision of Radiation Physics, Department of Radiotherapy, State Key Laboratory of Biotherapy and Cancer Center, West China Hospital, Sichuan University, Chengdu, 610041, People's Republic of China.
Xin WangDivision of Radiation Physics, Department of Radiotherapy, State Key Laboratory of Biotherapy and Cancer Center, West China Hospital, Sichuan University, Chengdu, 610041, People's Republic of China.
Xiaoyu LiDivision of Radiation Physics, Department of Radiotherapy, State Key Laboratory of Biotherapy and Cancer Center, West China Hospital, Sichuan University, Chengdu, 610041, People's Republic of China.
Li ZhouDivision of Radiation Physics, Department of Radiotherapy, State Key Laboratory of Biotherapy and Cancer Center, West China Hospital, Sichuan University, Chengdu, 610041, People's Republic of China.
Shihong NieDivision of Radiation Physics, Department of Radiotherapy, State Key Laboratory of Biotherapy and Cancer Center, West China Hospital, Sichuan University, Chengdu, 610041, People's Republic of China.
Changhu LiDivision of Radiation Physics, Department of Radiotherapy, State Key Laboratory of Biotherapy and Cancer Center, West China Hospital, Sichuan University, Chengdu, 610041, People's Republic of China.
Xuetao WangDivision of Radiation Physics, Department of Radiotherapy, State Key Laboratory of Biotherapy and Cancer Center, West China Hospital, Sichuan University, Chengdu, 610041, People's Republic of China.
Guyu DaiDivision of Radiation Physics, Department of Radiotherapy, State Key Laboratory of Biotherapy and Cancer Center, West China Hospital, Sichuan University, Chengdu, 610041, People's Republic of China.
Zhonghua DengDivision of Radiation Physics, Department of Radiotherapy, State Key Laboratory of Biotherapy and Cancer Center, West China Hospital, Sichuan University, Chengdu, 610041, People's Republic of China.
Renming ZhongDivision of Radiation Physics, Department of Radiotherapy, State Key Laboratory of Biotherapy and Cancer Center, West China Hospital, Sichuan University, Chengdu, 610041, People's Republic of China. zrm_100@163.com.ORCID http://orcid.org/0000-0002-1429-6469

Funding

1.3.5 project for disciplines of excellence-Clinical Research Incubation Project 2021HXFH029National Natural Science Foundation of China 11905150Sichuan Province Science and Technology Support Program 2021YFQ0065
6 · The paper itself

Abstract

backgroundProstate alignment is subject to interobserver variability in cone-beam CT (CBCT)-based soft-tissue matching. This study aims to analyze the impact of possible interobserver variability in CBCT-based soft-tissue matching for prostate cancer radiotherapy.

methodsRetrospective data, consisting of 156 CBCT images from twelve prostate cancer patients with elective nodal irradiation were analyzed in this study. To simulate possible interobserver variability, couch shifts of 2 mm relative to the resulting patient position of prostate alignment were assumed as potential patient positions (27 possibilities). For each CBCT, the doses of the potential patient positions were re-calculated using deformable image registration-based synthetic CT. The impact of the simulated interobserver variability was evaluated using tumor control probabilities (TCPs) and normal tissue complication probabilities (NTCPs).

resultsNo significant differences in TCPs were found between prostate alignment and potential patient positions (0.944 ± 0.003 vs 0.945 ± 0.003, P = 0.117). The average NTCPs of the rectum ranged from 5.16 to 7.29 (%) among the potential patient positions and were highly influenced by the couch shift in the anterior-posterior direction. In contrast, the average NTCPs of the bladder ranged from 0.75 to 1.12 (%) among the potential patient positions and were relatively negligible.

conclusionsThe NTCPs of the rectum, rather than the TCPs of the target, were highly influenced by the interobserver variability in CBCT-based soft-tissue matching. This study provides a theoretical explanation for daily CBCT-based image guidance and the prostate-rectum interface matching procedure.

trial registrationNot applicable.

Indexed as

Prostatic NeoplasmsSpiral Cone-Beam Computed TomographyHumansMaleObserver VariationProstateRetrospective StudiesCone-beam CTImage-guided radiotherapyInterobserver variabilityNormal tissue complication probabilitiesProstate cancerTumor control probabilities

Identifiers

PMID35365155
PMCPMC8973574

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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.