Evidence map›Paper›PMID 27384183›Full record

ReviewInternational journal of clinical oncology2016

Biological imaging in clinical oncology: radiation therapy based on functional imaging.

Yo-Liang Lai, Chun-Yi Wu, K S Clifford Chao

Abstract readReview
PubMed Publisher
In one paragraph

Review in International journal of clinical oncology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
–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

1 citing paper in PubMed, 1 synthesis or guideline pooled it.

  1. EANM/SNMMI practice guideline for [European journal of nuclear medicine and molecular imaging · 2021
    Guideline
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

3 authors.

Yo-Liang LaiDepartment of Radiation Oncology, China Medical University Hospital, China Medical University, Taichung, Taiwan.
Chun-Yi WuDepartment of Biomedical Imaging and Radiological Science, China Medical University, Taichung, Taiwan.
K S Clifford ChaoChina Medical University, 91 Hsueh-Shih Road, Taichung, 40402, Taiwan. d94032@mail.cmuh.org.tw.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Radiation therapy is one of the most effective tools for cancer treatment. In recent years, intensity-modulated radiation therapy has become increasingly popular in that target dose-escalation can be done while sparing adjacent normal tissues. For this reason, the development of measures to pave the way for accurate target delineation is of great interest. With the integration of functional information obtained by biological imaging with radiotherapy, strategies using advanced biological imaging to visualize metabolic pathways and to improve therapeutic index and predict treatment response are discussed in this article.

Indexed as

Magnetic Resonance ImagingPositron-Emission TomographyTomography, X-Ray ComputedHumansMultimodal ImagingNeoplasmsRadiotherapy DosageRadiotherapy, Intensity-ModulatedRadiotherapy Planning, Computer-AssistedBiological imagingFunctional imagingRadiation therapy

Identifiers

PMID27384183

What OpenQuestion holds

Textmetadata
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.