Evidence map›Paper›PMID 40032989›Full record

ArticleNPJ digital medicine2025

A noninvasive realtime body position monitoring system for the entire course of tumor radiotherapy.

Jiong Shu, Jingyuan Shao, Lingling Liu, Xiang Huang, Yuxiang Mao, Huabao Chen, Xiangli Cui, Bingbing Li, Jie Jia, Zhenle Fei and 4 more

Abstract read
In one paragraph

Article in NPJ digital medicine, 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

14 authors.

Jiong ShuHefei Cancer Hospital of CAS, Institute of Health and Medical Technology, Hefei Institutes of Physical Science, Chinese Academy of Sciences (CAS), Hefei, 230031, Anhui, China.
Jingyuan ShaoHefei Cancer Hospital of CAS, Institute of Health and Medical Technology, Hefei Institutes of Physical Science, Chinese Academy of Sciences (CAS), Hefei, 230031, Anhui, China.
Lingling LiuHefei Cancer Hospital of CAS, Institute of Health and Medical Technology, Hefei Institutes of Physical Science, Chinese Academy of Sciences (CAS), Hefei, 230031, Anhui, China.
Xiang HuangHefei Cancer Hospital of CAS, Institute of Health and Medical Technology, Hefei Institutes of Physical Science, Chinese Academy of Sciences (CAS), Hefei, 230031, Anhui, China.
Yuxiang MaoHefei Cancer Hospital of CAS, Institute of Health and Medical Technology, Hefei Institutes of Physical Science, Chinese Academy of Sciences (CAS), Hefei, 230031, Anhui, China.
Huabao ChenHefei Cancer Hospital of CAS, Institute of Health and Medical Technology, Hefei Institutes of Physical Science, Chinese Academy of Sciences (CAS), Hefei, 230031, Anhui, China.
Xiangli CuiHefei Cancer Hospital of CAS, Institute of Health and Medical Technology, Hefei Institutes of Physical Science, Chinese Academy of Sciences (CAS), Hefei, 230031, Anhui, China.
Bingbing LiHefei Cancer Hospital of CAS, Institute of Health and Medical Technology, Hefei Institutes of Physical Science, Chinese Academy of Sciences (CAS), Hefei, 230031, Anhui, China.
Jie JiaHefei Cancer Hospital of CAS, Institute of Health and Medical Technology, Hefei Institutes of Physical Science, Chinese Academy of Sciences (CAS), Hefei, 230031, Anhui, China.
Zhenle FeiDepartment of Oncology, the 901st Hospital of Joint Logistics Support Force of the Chinese People's Liberation Army, Hefei, 230031, Anhui, China.
Zongtao HuHefei Cancer Hospital of CAS, Institute of Health and Medical Technology, Hefei Institutes of Physical Science, Chinese Academy of Sciences (CAS), Hefei, 230031, Anhui, China.
Xianjun YangInstitute of Intelligent Machines, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei, 230031, Anhui, China.
Yannan ChuHefei Cancer Hospital of CAS, Institute of Health and Medical Technology, Hefei Institutes of Physical Science, Chinese Academy of Sciences (CAS), Hefei, 230031, Anhui, China.
Hongzhi WangHefei Cancer Hospital of CAS, Institute of Health and Medical Technology, Hefei Institutes of Physical Science, Chinese Academy of Sciences (CAS), Hefei, 230031, Anhui, China. wanghz@hfcas.ac.cn.

Funding

Anhui Science and Technology Department 202004j07020052
6 · The paper itself

Abstract

In tumor radiotherapy, monitoring patient body position is crucial for improving efficacy and reducing complications. We developed a contact-based body position monitoring system using pressure sensors and artificial intelligence, enabling non-invasive, radiation-free, real-time monitoring. The system consists of two pressure-sensitive mattresses with 6400 piezoresistive pressure points each, placed under the scapulae and sacrococcygeal region to monitor resistance values for center of gravity calculation. Using data from 251 cancer patients across 1046 sessions, a random forest algorithm achieved an area under the curve (AUC) of 0.995. Internal validation revealed a true positive rate (TPR) of 95.5% and accuracy (ACC) of 96.8%. Overall accuracy exceeded 90%, providing an effective and low-cost solution for continuous body position monitoring during radiotherapy.

Identifiers

PMID40032989
PMCPMC11876562

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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.