Evidence map›Paper›PMID 40678410›Full record

ArticleInternational journal of particle therapy2025

NTCP-Based Prediction of Lung Sparing With IMPT in BC Patients and Implication of Patient Selection.

Xiao-Yu Wu, Mei Chen, Gang Cai, Rong Cai, Cheng Xu, Dan Ou, Fei-Fei Xu, Yu-Jie Wang, Huan Li, Min Li and 3 more

Abstract read
In one paragraph

Article in International journal of particle therapy, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Xiao-Yu WuDepartment of Radiation Oncology, Ruijin Hospital, Shanghai Jiao Tong University, School of Medicine, Shanghai, China.
Mei ChenDepartment of Radiation Oncology, Ruijin Hospital, Shanghai Jiao Tong University, School of Medicine, Shanghai, China.
Gang CaiDepartment of Radiation Oncology, Ruijin Hospital, Shanghai Jiao Tong University, School of Medicine, Shanghai, China.
Rong CaiDepartment of Radiation Oncology, Ruijin Hospital, Shanghai Jiao Tong University, School of Medicine, Shanghai, China.
Cheng XuDepartment of Radiation Oncology, Ruijin Hospital, Shanghai Jiao Tong University, School of Medicine, Shanghai, China.
Dan OuDepartment of Radiation Oncology, Ruijin Hospital, Shanghai Jiao Tong University, School of Medicine, Shanghai, China.
Fei-Fei XuDepartment of Radiation Oncology, Ruijin Hospital, Shanghai Jiao Tong University, School of Medicine, Shanghai, China.
Yu-Jie WangDepartment of Radiation Oncology, Ruijin Hospital, Shanghai Jiao Tong University, School of Medicine, Shanghai, China.
Huan LiDepartment of Radiation Oncology, Ruijin Hospital, Shanghai Jiao Tong University, School of Medicine, Shanghai, China.
Min LiDepartment of Radiation Oncology, Ruijin Hospital, Shanghai Jiao Tong University, School of Medicine, Shanghai, China.
Yi-Bin ZhangDepartment of Radiation Oncology, Ruijin Hospital, Shanghai Jiao Tong University, School of Medicine, Shanghai, China.
Lu CaoDepartment of Radiation Oncology, Ruijin Hospital, Shanghai Jiao Tong University, School of Medicine, Shanghai, China.
Jia-Yi ChenDepartment of Radiation Oncology, Ruijin Hospital, Shanghai Jiao Tong University, School of Medicine, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: To compare the difference in normal tissue complication probability (ΔNTCP) between proton therapy (PT) and photon therapy plans using radiation-induced lung injury (RILI) as an endpoint and to analyze its correlation with thoracic anatomic features in breast cancer patients. Materials and Methods: A total of 409 breast cancer patients receiving photon intensity-modulated radiation therapy were randomly split into training and testing sets at an 8:2 ratio. A dose-modifying-factors (DMFs)-incorporated Lyman-Kutcher-Burman NTCP model was developed by maximum likelihood estimation with the training set to predict the risk of grade ≥ 1 RILI (CTCAE 5.0) within 1 year after radiotherapy. The DMFs stood for baseline risk factors were identified by least absolute shrinkage and selection operator regression and uni-multivariable logistic regression. After model validation, PT plans were generated for 80 patients from the dataset. The Pearson/Spearman rank correlation coefficient followed by linear regression was used to assess the correlation between anatomic features and lung ΔNTCP between photon and proton plans. Results: BMI ≥ 23.52 kg/m² ( Conclusion: BMI ≥ 23.52 kg/m² and ICR ≤ 20 days are risk factors for RILI. In patients with larger Arc Height to Base Ratio at the transverse plane of the sternal angle, PT plans suggest greater lung sparing in comparison to intensity-modulated radiation therapy. Further studies are needed to validate this association.

Indexed as

Breast cancerNTCP modelPatient selection for proton therapyRadiation-induced lung injuryThoracic anatomical features

Identifiers

PMID40678410
PMCPMC12269885

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.