Evidence map›Paper›PMID 42258105›Full record

ArticlePhysical and engineering sciences in medicine2026

Design and implementation of an automated quality assurance tool for Hounsfield unit-to-relative electron density calibration in cone beam computed tomography imaging.

Oussama El Mouden, Hamza Sekkat, Ahmed Bannan, Redouane El Baydaoui, Mustapha Bougteb, Mounir Mkimel, Abdellah Khallouqi, Maroine Tahiri, Yasmina Berrada, Fahd Chaara and 1 more

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Article in Physical and engineering sciences in medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

11 authors.

Oussama El MoudenLaboratory of Sciences and Engineering of Biomedicals, Biophysics and Health, Higher Institute of Health Sciences, Hassan 1 st University, Settat, Morocco.
Hamza SekkatLaboratory of Sciences and Engineering of Biomedicals, Biophysics and Health, Higher Institute of Health Sciences, Hassan 1 st University, Settat, Morocco. sekkat.isss@uhp.ac.ma.
Ahmed BannanLaboratory of Sciences and Engineering of Biomedicals, Biophysics and Health, Higher Institute of Health Sciences, Hassan 1 st University, Settat, Morocco.
Redouane El BaydaouiLaboratory of Sciences and Engineering of Biomedicals, Biophysics and Health, Higher Institute of Health Sciences, Hassan 1 st University, Settat, Morocco.
Mustapha BougtebLaboratory of Sciences and Engineering of Biomedicals, Biophysics and Health, Higher Institute of Health Sciences, Hassan 1 st University, Settat, Morocco.
Mounir MkimelLaboratory of Sciences and Engineering of Biomedicals, Biophysics and Health, Higher Institute of Health Sciences, Hassan 1 st University, Settat, Morocco.
Abdellah KhallouqiLaboratory of Sciences and Engineering of Biomedicals, Biophysics and Health, Higher Institute of Health Sciences, Hassan 1 st University, Settat, Morocco.
Maroine TahiriLaboratory of Sciences and Engineering of Biomedicals, Biophysics and Health, Higher Institute of Health Sciences, Hassan 1 st University, Settat, Morocco.
Yasmina BerradaDepartment of Radiotherapy, International Hospital of Settat, Settat, Morocco.
Fahd ChaaraDepartment of Radiotherapy, International Hospital of Settat, Settat, Morocco.
Omar El RhazouaniLaboratory of Sciences and Engineering of Biomedicals, Biophysics and Health, Higher Institute of Health Sciences, Hassan 1 st University, Settat, Morocco.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Accurate calibration of Hounsfield Units (HU) to relative electron density (RED) is critical for reliable absorbed dose calculation in radiotherapy, particularly for cone-beam CT (CBCT)-based adaptive workflows. We developed and evaluated a fully automated HU-RED calibration and quality assurance (QA) workflow for Elekta CBCT systems, integrating PyLinac with QATrack + to enable reproducible, user-independent analysis. Using the CIRS 062 M phantom, protocol-specific HU-RED calibration curves were generated for head, thorax, abdomen and pelvis CBCT acquisitions. Systematic protocol-dependent HU offsets were observed relative to fan-beam CT, with air-equivalent inserts shifting from approximately - 1000 HU on CT to + 500-600 HU for body CBCT protocols and up to + 1000 HU for head CBCT acquisitions. Water-equivalent inserts exhibited offsets of + 580-720 HU, while dense bone showed increases of + 200-500 HU depending on protocol. Despite these offsets, short-term reproducibility was high, with standard deviations ≤ 3 HU for water, ≤ 5 HU for bone and ≤ 12 HU for air across repeated scans. Over six months of monitoring, no significant HU drift was observed, demonstrating the ability of the automated workflow to reproducibly measure and track HU constancy over time. Automated tolerance checking using ± 30 HU (water/soft tissue) and ± 50 HU (lung/bone) thresholds showed 100% compliance across all measurements. The complete analysis and QA reporting required less than one minute per scan. This automated approach provides quantitative, protocol-specific HU-RED calibration and stable long-term monitoring, supporting routine CBCT QA and adaptive radiotherapy in accordance with international guidelines.

Indexed as

Cone-Beam Computed TomographyElectronsQuality Assurance, Health CareAutomationCalibrationHumansPhantoms, ImagingQuality ControlReproducibility of ResultsAutomated quality assuranceCone-Beam CT (CBCT)HU-to-RED calibrationPyLinacQATrack+

Identifiers

PMID42258105

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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.