Evidence map›Paper›PMID 36300837›Full record

ArticleJournal of applied clinical medical physics2023

Contour similarity and its implication on inverse prostate SBRT treatment planning.

Chenyu Yan, Bingqi Guo, Rahul Tendulkar, Ping Xia

Open access · goldAbstract read
In one paragraph

Article in Journal of applied clinical medical physics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.5field-weighted citation impact, top 34% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
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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

4 authors at 2 institutions in 1 country.

Chenyu YanDepartment of Radiation Oncology, Cleveland Clinic Foundation, Cleveland, Ohio, USA.
Bingqi GuoDepartment of Radiation Oncology, Cleveland Clinic Foundation, Cleveland, Ohio, USA.
Rahul TendulkarDepartment of Radiation Oncology, Cleveland Clinic Foundation, Cleveland, Ohio, USA.
Ping XiaDepartment of Radiation Oncology, Cleveland Clinic Foundation, Cleveland, Ohio, USA.
Cleveland Clinic · USCleveland Foundation · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeSuccess of auto-segmentation is measured by the similarity between auto and manual contours that is often quantified by Dice coefficient (DC). The dosimetric impact of contour variability on inverse planning has been rarely reported. The main aim of this study is to investigate whether automatically generated organs-at-risk (OARs) could be used in inverse prostate stereotactic body radiation therapy (SBRT) planning and whether the dosimetric parameters are still clinically acceptable after radiation oncologists modify the OARs. METHODS AND MATERIALS: Planning computed tomography images from 10 patients treated with SBRT for prostate cancer were selected and automatically segmented by commercially available atlas-based software. The automatically generated OAR contours were compared with the manually drawn contours. Two volumetric modulated arc therapy (VMAT) plans, autoRec-VMAT (where only automatically generated rectums were used in optimization) and autoAll-VMAT (where automatically generated OARs were used in inverse optimization) were generated. Dosimetric parameters based on the manually drawn PTV and OARs were compared with the clinically approved plans.

resultsThe DCs for the rectum contours varied from 0.55 to 0.74 with a mean value of 0.665. Differences of D

conclusionOur study implies that it is possible to use unedited automatically generated OARs to perform initial inverse prostate SBRT planning. After radiation oncologists modify/approve the OARs, the plan qualities based on the manually drawn OARs are still clinically acceptable, and a re-optimization may not be needed.

Indexed as

RadiosurgeryRadiotherapy, Intensity-ModulatedHumansMaleOrgans at RiskProstateRadiotherapy DosageRadiotherapy Planning, Computer-Assistedauto-segmentationcontour similarityprostate SBRT

Identifiers

PMID36300837
PMCPMC9924104
OpenAlexW4307430675

What OpenQuestion holds

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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.