Evidence map›Paper›PMID 39696314›Full record

ArticleRadiation oncology (London, England)2024

Bone matching versus tumor matching in image-guided carbon ion radiotherapy for locally advanced non-small cell lung cancer.

Jing Mi, Shubin Jia, Liyuan Chen, Yaqi Li, Jiayao Sun, Liwen Zhang, Jingfang Mao, Jian Chen, Ningyi Ma, Jingfang Zhao and 1 more

Abstract readComparative Study
In one paragraph

Article in Radiation oncology (London, England), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

11 authors.

Jing MiDepartment of Radiation Oncology, Shanghai Proton and Heavy Ion Center, Fudan University Cancer Hospital, NO. 4365 Kang Xin Road, Shanghai, 201315, China.
Shubin JiaDepartment of Radiation Oncology, Shanghai Proton and Heavy Ion Center, Fudan University Cancer Hospital, NO. 4365 Kang Xin Road, Shanghai, 201315, China.
Liyuan ChenDepartment of Radiation Oncology, Fudan University Shanghai Cancer Center, Shanghai, 200032, China.
Yaqi LiDepartment of Radiation Oncology, Shanghai Proton and Heavy Ion Center, Fudan University Cancer Hospital, NO. 4365 Kang Xin Road, Shanghai, 201315, China.
Jiayao SunShanghai Key Laboratory of Radiation Oncology , Shanghai, 201315, China.
Liwen ZhangShanghai Key Laboratory of Radiation Oncology , Shanghai, 201315, China.
Jingfang MaoDepartment of Radiation Oncology, Shanghai Proton and Heavy Ion Center, Fudan University Cancer Hospital, NO. 4365 Kang Xin Road, Shanghai, 201315, China.
Jian ChenDepartment of Radiation Oncology, Shanghai Proton and Heavy Ion Center, Fudan University Cancer Hospital, NO. 4365 Kang Xin Road, Shanghai, 201315, China.
Ningyi MaDepartment of Radiation Oncology, Shanghai Proton and Heavy Ion Center, Fudan University Cancer Hospital, NO. 4365 Kang Xin Road, Shanghai, 201315, China.
Jingfang ZhaoShanghai Key Laboratory of Radiation Oncology , Shanghai, 201315, China. jingfang.zhao@sphic.org.cn.
Kailiang WuDepartment of Radiation Oncology, Shanghai Proton and Heavy Ion Center, Fudan University Cancer Hospital, NO. 4365 Kang Xin Road, Shanghai, 201315, China. wukailiang@aliyun.com.

Funding

Shanghai Committee of Science and Technology,China 23ZR1460200
6 · The paper itself

Abstract

background and purposeThis study evaluates the dosimetric impact of tumor matching (TM) and bone matching (BM) in carbon ion radiotherapy for locally advanced non-small cell lung cancer. MATERIALS AND

methodsForty patients diagnosed with locally advanced non-small cell lung cancer were included in this study. TM and BM techniques were employed for recalculation based on re-evaluation computed tomography (CT) images of the patients, resulting in the generation of dose distributions: Plan-T and Plan-B, respectively. These distributions were compared with the original dose distribution, Plan-O. The percentage of the internal gross tumor volume (iGTV) receiving a prescription dose greater than 95% (V95%) was evaluated using dose-volume parameters. Statistical analysis was performed using a paired signed-rank sum test. Additionally, the study investigated the influence of tumor displacement, volume changes, and rotational errors on target dose coverage.

resultsThe median iGTV V95% values for the Plan-O, Plan-T, and Plan-B groups were 100%, 99.93%, and 99.60%, respectively, with statistically significant differences observed. TM demonstrated improved target dose coverage compared to BM. Moreover, TM exhibited better target coverage in case of larger tumor displacement. TM's increased adjustability in rotation directions compared to BM significantly influenced dosimetric outcomes, rendering it more tolerant to variations in tumor morphology.

conclusionTM exhibited superior target dose coverage compared to BM, particularly in cases of larger tumor displacement. TM also demonstrated better tolerance to variations in tumor morphology.

Indexed as

Carcinoma, Non-Small-Cell LungHeavy Ion RadiotherapyLung NeoplasmsRadiotherapy DosageRadiotherapy, Image-GuidedRadiotherapy Planning, Computer-AssistedAdultAgedAged, 80 and overBone and BonesFemaleHumansMaleMiddle AgedOrgans at RiskRadiotherapy, Intensity-ModulatedBone matchingCarbon ion radiotherapyLung cancerTumor matching

Identifiers

PMID39696314
PMCPMC11653927

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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.