Evidence map›Paper›PMID 35726209›Full record

ArticleTechnology in cancer research & treatment

Deep Learning for Patient-Specific Quality Assurance: Predicting Gamma Passing Rates for IMRT Based on Delivery Fluence Informed by log Files.

Ying Huang, Yifei Pi, Kui Ma, Xiaojuan Miao, Sichao Fu, Zhen Zhu, Yifan Cheng, Zhepei Zhang, Hua Chen, Hao Wang and 6 more

Open access · goldAbstract read
In one paragraph

Article in Technology in cancer research & treatment. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
4.3field-weighted citation impact, top 6% of its field
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

11 citing papers in PubMed, 16 citations in OpenAlex.

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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

16 authors at 3 institutions in 1 country.

Ying Huang71141Shanghai Chest Hospital, Shanghai Jiao Tong University, Shanghai, China.
Yifei PiDepartment of Radiation Oncology, 191599The First Affiliated Hospital of Zhengzhou University, Henan, China.
Kui MaVarian Medical Systems, Beijing, China.
Xiaojuan MiaoThe General Hospital of Western Theater Command PLA, Chengdu, China.
Sichao FuThe General Hospital of Western Theater Command PLA, Chengdu, China.
Zhen Zhu71141Shanghai Chest Hospital, Shanghai Jiao Tong University, Shanghai, China.
Yifan Cheng71141Shanghai Chest Hospital, Shanghai Jiao Tong University, Shanghai, China.
Zhepei Zhang71141Shanghai Chest Hospital, Shanghai Jiao Tong University, Shanghai, China.
Hua Chen71141Shanghai Chest Hospital, Shanghai Jiao Tong University, Shanghai, China.
Hao Wang71141Shanghai Chest Hospital, Shanghai Jiao Tong University, Shanghai, China.ORCID 0000-0002-7984-6054
Hengle Gu71141Shanghai Chest Hospital, Shanghai Jiao Tong University, Shanghai, China.
Yan Shao71141Shanghai Chest Hospital, Shanghai Jiao Tong University, Shanghai, China.
Yanhua Duan71141Shanghai Chest Hospital, Shanghai Jiao Tong University, Shanghai, China.
Aihui Feng71141Shanghai Chest Hospital, Shanghai Jiao Tong University, Shanghai, China.
Weihai ZhuoKey Lab of Nuclear Physics & Ion-Beam Application (MOE), 12478Fudan University, Shanghai, China.
Zhiyong Xu71141Shanghai Chest Hospital, Shanghai Jiao Tong University, Shanghai, China.ORCID 0000-0002-4238-0318
Shanghai Jiao Tong University · CNFirst Affiliated Hospital of Zhengzhou University · CNFudan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Deep LearningRadiotherapy, Intensity-ModulatedHumansParticle AcceleratorsQuality Assurance, Health CareRadiometryRadiotherapy DosageRadiotherapy Planning, Computer-Assistedconvolutional neural networkdeep learninglog filesquality assurance

Identifiers

PMID35726209
PMCPMC9218492
OpenAlexW4283260601

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.