Evidence map›Paper›PMID 37868939›Full record

ArticleJournal of biomedical physics & engineering2023

Estimating the Dose-Response Relationship for Ocular Pain after Radiotherapy of Head and Neck Cancers and Skull Base Tumors based on the LKB Radiobiological Model.

Nastaran Momeni, Mohammad Ali Broomand, Zahra Roozmand, Nima Hamzian

Open access · goldAbstract read
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Article in Journal of biomedical physics & engineering, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.7field-weighted citation impact, top 30% 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

4 citing papers in PubMed, 2 citations in OpenAlex.

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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 1 institution in 1 country.

Nastaran MomeniDepartment of Medical Physics, School of Medicine, Shahid Sadoughi University of Medical Sciences, Yazd, Iran.
Mohammad Ali BroomandDepartment of Clinical Oncology, Shahid Sadoughi University of Medical Sciences, Yazd, Iran.
Zahra RoozmandDepartment of Medical Physics, School of Medicine, Shahid Sadoughi University of Medical Sciences, Yazd, Iran.
Nima HamzianDepartment of Medical Physics, School of Medicine, Shahid Sadoughi University of Medical Sciences, Yazd, Iran.
Shahid Sadoughi University of Medical Sciences and Health Services · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Radiotherapy is considered a compromise between the amount of killed tumor cells and the damage caused to the healthy tissue. Regarding this, radiobiological modeling is performed to individualize and optimize treatment strategies. Objective: This study aimed to determine the normal tissue complication probability (NTCP) of acute ocular pain following radiotherapy. Material and Methods: In this prospective observational study, the clinical data were collected from 45 patients with head and neck cancers and skull-base tumors, and dosimetric data were recorded after contouring the eye globe. Acute ocular pain was prospectively assessed with a three-month follow-up. The Lyman-Kutcher-Berman (LKB) parameters were estimated using the Area Under Curve (AUC) of Receiver Operating Characteristic (ROC) maximization and Maximum Likelihood (MLH) methods, and the NTCP of acute ocular pain was then determined using generalized LKB radiobiological model. The model performance was evaluated with AUC, Brier score, and Hosmer-Lemeshow tests. Results: Six out of 45 (13.33%) patients developed acute ocular pain (grade 1 or more). LKB model showed a weak dose-volume effect (n=0.09), tolerance dose for a 50% complication (TD Conclusion: The LKB model showed a high performance in determining the NTCP of ocular pain so that the probability of ocular pain will be less than 25% if the eye globe mean dose is kept below 12 Gy.

Indexed as

Dose-ResponseLyman-Kutcher-BurmanNormal Tissue Complication ProbabilityOcular PainRadiotherapy

Identifiers

PMID37868939
PMCPMC10589689
OpenAlexW4387110156

What OpenQuestion holds

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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.