Evidence map›Paper›PMID 25723599›Full record

ReviewThe British journal of radiology2015

Computerized PET/CT image analysis in the evaluation of tumour response to therapy.

W Lu, J Wang, H H Zhang

Abstract readReview
In one paragraph

Review in The British journal of radiology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Review
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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

3 authors.

W LuDepartment of Radiation Oncology, University of Maryland, School of Medicine, Baltimore, MD, USA.
J Wang
H H Zhang

Funding

Quantitative PET/CT Analysis to Improve Evaluation of Tumor ResponseR01CA172638 · NCI · UNIVERSITY OF MARYLAND BALTIMORE · PI LU, WEI · 2013 to 2016
$1.3M
NCI NIH HHS R01 CA172638NCI NIH HHS R01CA172638
6 · The paper itself

Abstract

Current cancer therapy strategy is mostly population based, however, there are large differences in tumour response among patients. It is therefore important for treating physicians to know individual tumour response. In recent years, many studies proposed the use of computerized positron emission tomography/CT image analysis in the evaluation of tumour response. Results showed that computerized analysis overcame some major limitations of current qualitative and semiquantitative analysis and led to improved accuracy. In this review, we summarize these studies in four steps of the analysis: image registration, tumour segmentation, image feature extraction and response evaluation. Future works are proposed and challenges described.

Indexed as

Multimodal ImagingPositron-Emission TomographyRadiographic Image Interpretation, Computer-AssistedTomography, X-Ray ComputedAlgorithmsContrast MediaHumansNeoplasmsRadiopharmaceuticalsSupport Vector MachineContrast MediaRadiopharmaceuticals

Identifiers

PMID25723599
PMCPMC4651254

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.