Evidence map›Paper›PMID 42839546›Full record

ArticleJournal of applied clinical medical physics2026

Introducing a novel prediction index for treatment quality of gamma knife and stereotactic-based radiotherapy: Nabaa Efficiency Index (

Nabaa Mohammed Alsiraj, Haydar Hamza Alabedi, Mustafa Salih Almusawi, Moneer K Faraj, Rozilawati Ahmad, Sura Abdulkareem Madlool Alzuabidi

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of applied clinical medical physics, 2026. 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
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.

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

6 authors.

Nabaa Mohammed AlsirajProgramme of Diagnostic Imaging and Radiotherapy, Faculty of Health Sciences, Universiti Kebangsaan Malaysia, Kuala Lumpur, Malaysia.ORCID https://orcid.org/0000-0003-0506-6271
Haydar Hamza AlabediSurgery Department, College of Medicine, Baghdad University, Baghdad, Iraq.ORCID https://orcid.org/0000-0003-1960-7331
Mustafa Salih AlmusawiMedical Physics Department, Faculty of Medical Sciences, Jabir Ibn Hayyan Medical University, Al-Kufa, Iraq.ORCID https://orcid.org/0000-0001-5335-525X
Moneer K FarajSurgery Department, College of Medicine, Baghdad University, Baghdad, Iraq.
Rozilawati AhmadProgramme of Diagnostic Imaging and Radiotherapy, Faculty of Health Sciences, Universiti Kebangsaan Malaysia, Kuala Lumpur, Malaysia.ORCID https://orcid.org/0000-0002-3864-9978
Sura Abdulkareem Madlool AlzuabidiAl Amal National Hospital for Oncology, Medical Complex, Baghdad, Iraq.ORCID https://orcid.org/0000-0003-3423-6591

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAn accurate assessment of the radiotherapy plans requires an accurate dose to the target and efficient confinement of the doses. However, present indices do not completely cover these aspects in a single framework. PURPOSE: To develop a unified, dimensionless metric that integrates geometric conformity and dosimetric efficiency for evaluating stereotactic and fractionated radiotherapy plans aims to reduce QA workload by providing a rapid, quantitative estimate of plan acceptability, allowing early prediction of treatment plan performance.

methodsIn this study, the Nabaa Efficiency Index

results

conclusion

Indexed as

AlgorithmsNeoplasmsQuality Assurance, Health CareRadiosurgeryRadiotherapy Planning, Computer-AssistedHumansOrgans at RiskRadiotherapy DosageRadiotherapy, Intensity-Modulatedefficiency indexNabaa Efficiency IndexPaddick conformity index (PCI)RTOG

Identifiers

PMID42839546
PMCPMC13643063

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.