Evidence map›Paper›PMID 33733226›Full record

ArticleFrontiers in artificial intelligence2020

Clinical Enhancement in AI-Based Post-processed Fast-Scan Low-Dose CBCT for Head and Neck Adaptive Radiotherapy.

Wen Chen, Yimin Li, Nimu Yuan, Jinyi Qi, Brandon A Dyer, Levent Sensoy, Stanley H Benedict, Lu Shang, Shyam Rao, Yi Rong

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in artificial intelligence, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Review
  6. Article
  7. Review
  8. Review
  9. Article
  10. 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

10 authors.

Wen ChenDepartment of Radiation Oncology, Xiangya Hospital, Central South University, Changsha, China.
Yimin LiDepartment of Radiation Oncology, University of California Davis Medical Center, Sacramento, CA, United States.
Nimu YuanDepartment of Biomedical Engineering, University of California, Davis, CA, United States.
Jinyi QiDepartment of Biomedical Engineering, University of California, Davis, CA, United States.
Brandon A DyerDepartment of Radiation Oncology, University of Washington, Seattle, WA, United States.
Levent SensoyDepartment of Radiation Oncology, University of California Davis Medical Center, Sacramento, CA, United States.
Stanley H BenedictDepartment of Radiation Oncology, University of California Davis Medical Center, Sacramento, CA, United States.
Lu ShangDepartment of Radiation Oncology, University of California Davis Medical Center, Sacramento, CA, United States.
Shyam RaoDepartment of Radiation Oncology, University of California Davis Medical Center, Sacramento, CA, United States.
Yi RongDepartment of Radiation Oncology, University of California Davis Medical Center, Sacramento, CA, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

adaptive radiotherapycone beam CTdeep convolutional neural networkhead and neck cancerimage quality

Identifiers

PMID33733226
PMCPMC7904899

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.