Evidence map›Paper›PMID 39670014›Full record

ArticleTranslational lung cancer research2024

Comparing the outcomes of MR-based versus CT-based tumor delineation in locally advanced non-small cell lung cancer treated with hypo-fractionated radiotherapy and concurrent chemotherapy.

Pengxin Zhang, Shouliang Ding, Kangqiang Peng, Haoqiang He, Daquan Wang, Rui Zhou, Bin Wang, Jinyu Guo, Hongdong Liu, Xiaoyan Huang and 3 more

Abstract read
In one paragraph

Article in Translational lung cancer research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Trial
  2. Review
  3. Review
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

13 authors.

Pengxin Zhang *Department of Radiation Oncology, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, China.ORCID https://orcid.org/0009-0008-1771-2991
Shouliang Ding *Department of Radiation Oncology, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, China.
Kangqiang Peng *Department of Medical Imaging, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, China.
Haoqiang HeDepartment of Medical Imaging, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, China.
Daquan WangDepartment of Radiation Oncology, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, China.
Rui ZhouDepartment of Radiation Oncology, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, China.
Bin WangDepartment of Radiation Oncology, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, China.
Jinyu GuoDepartment of Radiation Oncology, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, China.
Hongdong LiuDepartment of Radiation Oncology, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, China.
Xiaoyan HuangDepartment of Radiation Oncology, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, China.
Chuanmiao XieDepartment of Medical Imaging, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, China.
Hui LiuDepartment of Radiation Oncology, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, China.
Bo QiuDepartment of Radiation Oncology, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Delineating gross tumor volume (GTV) using computed tomography (CT) imaging is the standard for lung cancer contouring, but discrepancies among observers compromise accuracy and reliability. Magnetic resonance imaging (MRI) provides superior soft-tissue resolution compared to CT, thus, we design this retrospective study to compare the treatment outcomes of magnetic resonance-based (MR-based) and CT-based tumor delineation in locally advanced non-small cell lung cancer (LA-NSCLC) patients treated with hypo-fractionated concurrent chemoradiotherapy (hypo-CCRT). Methods: A total of 293 LA-NSCLC patients treated with hypo-CCRT from three trials between October 2015 and October 2020 were screened. Ninety patients with each MR-based delineation and CT-based delineation of the primary tumor were selected for analysis. In the MR-based delineation group, T1-enhanced MR images was rigidly registered with 10 respiratory phases of planning CT images, respectively. The primary tumors were contoured on each respiratory phase based on co-registered MRI. The locoregional progression-free survival (LPFS), progression-free survival (PFS), overall survival (OS) and toxicities in both groups were analyzed. Results: The 2-year LPFS rate was 69.2% [95% confidence interval (CI): 59.6-80.2%] in the MR-based delineation group and 61.0% (95% CI: 50.9-73.0%) in the CT-based delineation group (P=0.37). There was no significant difference in median PFS (P=0.45) or OS (P=0.69) between the two groups. The MR-based delineation group had smaller planning target volume (186.1 Conclusions: MR-based delineation in hypo-CCRT was feasible and achieved similar treatment efficacy to CT-based delineation. The use of MR imaging to reduce the target volume resulted in promising local control and lower incidence of radiation-induced toxicities.

Indexed as

computed tomography-based delineation (CT-based delineation)hypofractionated radiotherapyLocally advanced non-small cell lung cancer (LA-NSCLC)magnetic resonance-based delineation (MR-based delineation)

Identifiers

PMID39670014
PMCPMC11632429

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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.