Evidence map›Paper›PMID 33285036›Full record

ArticleJournal of applied clinical medical physics2021

Cleaning the dose falloff in lung SBRT plan.

Dharmin Desai, Ganesh Narayanasamy, Milan Bimali, Ivan Cordrey, Hisham Elasmar, Senthamizhchelvan Srinivasan, Ellis Lee Johnson

Open access · goldAbstract read
In one paragraph

Article in Journal of applied clinical medical physics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
2.1field-weighted citation impact, top 13% 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

5 citing papers in PubMed, 16 citations in OpenAlex.

  1. Article
  2. Dose prescription and reporting in stereotactic body radiotherapy: A multi-institutional study.Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology · 2023
    Article
  3. Planning issues on linac-based stereotactic radiotherapy.World journal of clinical cases · 2022
    Review
  4. A lung SBRT treatment planning technique to focus high dose on gross disease.Medical dosimetry : official journal of the American Association of Medical Dosimetrists
    Article
  5. Lung SBRT: Dose gradient optimization based on target size.Medical dosimetry : official journal of the American Association of Medical Dosimetrists
    Article
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

7 authors at 3 institutions in 1 country.

Dharmin DesaiMemorial Hospital, Chattanooga, TN, USA.
Ganesh NarayanasamyDepartment of Radiation Oncology, University of Arkansas for Medical Sciences, Little Rock, AR, USA.ORCID https://orcid.org/0000-0002-7608-0612
Milan BimaliDepartment of Biostatistics, University of Arkansas for Medical Sciences, Little Rock, AR, USA.
Ivan CordreyMemorial Hospital, Chattanooga, TN, USA.
Hisham ElasmarMemorial Hospital, Chattanooga, TN, USA.
Senthamizhchelvan SrinivasanMemorial Hospital, Chattanooga, TN, USA.
Ellis Lee JohnsonDepartment of Radiation Medicine, University of Kentucky, Lexington, KY, USA.
Memorial Hospital · USUniversity of Arkansas for Medical Sciences · USUniversity of Kentucky · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo investigate a planning technique that can possibly reduce low-to-intermediate dose spillage (measured by R50%, D2cm values) in lung SBRT plans. MATERIALS AND

methodsDose falloff outside the target was studied retrospectively in 102 SBRT VMAT plans of lung tumor. Plans having R50% and/or D2cm higher than recommended tolerances in RTOG protocols 0813 and 0915 were replanned with new optimization constraints using novel shell structures and novel constraints. Violations in the RTOG R50% value can be rectified with a dose constraint to a novel shell structure ("OptiForR50"). The construction of structure OptiForR50% and the novel optimization criteria translate the RTOG goals for R50% into direct inputs for the optimizer. Violations in the D2cm can be rectified using constraints on a 0.5 cm thick shell structure with inner surface 2cm from the PTV surface. Wilcoxon signed-rank test was used to compare differences in dose conformity, volume of hot spots, R50%, D2cm of the target in addition to the OAR doses. A two-sided P-value of 0.05 was used to assess statistical significance.

resultsAmong 102 lung SBRT plans with PTV sizes ranging from 5 to 179 cc, 32 plans with violations in R50% or D2cm were reoptimized. The mean reduction in R50% (4.68 vs 3.89) and D2cm (56.49 vs 52.51) was statistically significant both having P < 0.01. Target conformity index, volume of 105% isodose contour outside PTV, normal lung V20, and mean dose to heart and aorta were significantly lowered with P < 0.05.

conclusionThe novel planning methodology using multiple shells including the novel OptiForR50 shell with precisely calculated dimensions and optimizer constraints lead to significantly lower values of R50% and D2cm and lower dose spillage in lung SBRT plans. All plans were successfully brought into the zone of no RTOG violations.

Indexed as

Carcinoma, Non-Small-Cell LungLung NeoplasmsRadiosurgeryRadiotherapy, Intensity-ModulatedHumansLungOrgans at RiskRadiotherapy DosageRadiotherapy Planning, Computer-AssistedRetrospective Studiesdose falloffdose gradientdose spilllung SBRTnormal tissue toxicity

Identifiers

PMID33285036
PMCPMC7856511
OpenAlexW3112543301

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.