Evidence map›Paper›PMID 34808605›Full record

ArticlePhysics in medicine and biology2021

Transfer learning for fluence map prediction in adrenal stereotactic body radiation therapy.

Wentao Wang, Yang Sheng, Manisha Palta, Brian Czito, Christopher Willett, Fang-Fang Yin, Qiuwen Wu, Yaorong Ge, Q Jackie Wu

Abstract read
In one paragraph

Article in Physics in medicine and biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
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

9 authors.

Wentao WangDepartment of Radiation Oncology, Duke University Medical Center, Durham, NC, United States of America.ORCID 0000-0003-4216-4938
Yang ShengDepartment of Radiation Oncology, Duke University Medical Center, Durham, NC, United States of America.
Manisha PaltaDepartment of Radiation Oncology, Duke University Medical Center, Durham, NC, United States of America.
Brian CzitoDepartment of Radiation Oncology, Duke University Medical Center, Durham, NC, United States of America.
Christopher WillettDepartment of Radiation Oncology, Duke University Medical Center, Durham, NC, United States of America.
Fang-Fang YinDepartment of Radiation Oncology, Duke University Medical Center, Durham, NC, United States of America.
Qiuwen WuDepartment of Radiation Oncology, Duke University Medical Center, Durham, NC, United States of America.
Yaorong GeDepartment of Software and Information Systems, University of North Carolina at Charlotte, Charlotte, NC, United States of America.
Q Jackie WuDepartment of Radiation Oncology, Duke University Medical Center, Durham, NC, United States of America.

Funding

Developing knowledge models to enable rapid learning in radiation therapyR01CA201212 · NCI · DUKE UNIVERSITY · PI GE, YAORONG, WU, QINGRONG JACKIE · 2016 to 2019
$1.8M
NCI NIH HHS R01 CA201212
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

RadiosurgeryRadiotherapy, Intensity-ModulatedMachine LearningRadiotherapy DosageRadiotherapy Planning, Computer-Assistedfluence mapradiation therapytransfer learning

Identifiers

PMID34808605
PMCPMC8713299

What OpenQuestion holds

Textmetadata
LicenceTDM
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.