Evidence map›Paper›PMID 26811083›Full record

ArticleInternational journal of computer assisted radiology and surgery2016

Radiotherapy volume delineation using dynamic [

Antti Silvoniemi, Mueez U Din, Sami Suilamo, Tony Shepherd, Heikki Minn

Abstract readEvaluation Study
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In one paragraph

Article in International journal of computer assisted radiology and surgery, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 96% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

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

5 authors at 2 institutions in 1 country.

Antti SilvoniemiDepartment of Otorhinolaryngology - Head and Neck Surgery, Turku University Hospital, P.O. BOX 52, 20521, Turku, Finland. anmisi@utu.fi.
Mueez U DinTurku PET Centre, University of Turku, P.O. BOX 52, 20521, Turku, Finland.
Sami SuilamoDepartment of Oncology and Radiotherapy, Turku University Hospital, P.O. BOX 52, 20521, Turku, Finland.
Tony ShepherdTurku PET Centre, University of Turku, P.O. BOX 52, 20521, Turku, Finland.
Heikki MinnTurku PET Centre, University of Turku, P.O. BOX 52, 20521, Turku, Finland.
Turku University Hospital · FITurku PET Centre · FI

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeDelineation of gross tumour volume in 3D is a critical step in the radiotherapy (RT) treatment planning for oropharyngeal cancer (OPC). Static [

methodsFive patients with OPC underwent dynamic [

resultsSome dynamic features showed a trend towards discrimination of different metabolic areas but lack of consistency means that clinical application is not recommended based on these results alone.

conclusionsImpact of inflammatory tissue remains a problem for volume delineation in RT of OPC, but a simple dynamic imaging protocol proved practicable and enabled simple data analysis techniques that show promise for complementing the information in static uptake values.

Indexed as

AgedAlgorithmsCarcinoma, Non-Small-Cell LungFemaleFluorodeoxyglucose F18HumansImage Interpretation, Computer-AssistedMaleMiddle AgedOropharyngeal NeoplasmsPilot ProjectsPositron Emission Tomography Computed TomographyRadiopharmaceuticalsRadiotherapy Planning, Computer-AssistedReproducibility of ResultsSensitivity and SpecificityFluorodeoxyglucose F18Radiopharmaceuticals[18F]-FDGContouringDynamic PET/CT imagingOropharyngeal cancerPET/CTRadiotherapy

Identifiers

PMID26811083
OpenAlexW2342011133

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.