Evaluating Danish Breast Cancer Group locoregional radiotherapy guideline adherence in clinical treatment data 2008-2016: The DBCG RT Nation study.

Big data Breast cancer DICOM Data science Guidelines Quality assurance Radiotherapy

Journal

Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology
ISSN: 1879-0887
Titre abrégé: Radiother Oncol
Pays: Ireland
ID NLM: 8407192

Informations de publication

Date de publication:
25 Apr 2024
Historique:
received: 21 12 2023
revised: 04 04 2024
accepted: 15 04 2024
medline: 30 6 2024
pubmed: 30 6 2024
entrez: 29 6 2024
Statut: aheadofprint

Résumé

Guideline adherence in radiotherapy is crucial for maintaining treatment quality and consistency, particularly in non-trial patient settings where most treatments occur. The study aimed to assess the impact of guideline changes on treatment planning practices and compare manual registry data accuracy with treatment planning data. This study utilised the DBCG RT Nation cohort, a collection of breast cancer radiotherapy data in Denmark, to evaluate adherence to guidelines from 2008 to 2016. The cohort included 7448 high-risk breast cancer patients. National guideline changes included, fractionation, introduction of respiratory gating, irradiation of the internal mammary lymph nodes, use of the simultaneous integrated boost technique and inclusion of the Left Anterior Descending coronary artery in delineation practice. Methods for structure name mapping, laterality detection, detection of temporal changes in population mean lung volume, and dose evaluation were presented and applied. Manually registered treatment characteristic data was obtained from the Danish Breast Cancer Database for comparison. The study found immediate and consistent adherence to guideline changes across Danish radiotherapy centres. Treatment practices before guideline implementation were documented and showed a variation among centres. Discrepancies between manual registry data and actual treatment planning data were as high as 10% for some measures. National guideline changes could be detected in the routine treatment data, with a high degree of compliance and short implementation time. Data extracted from treatment planning data files provides a more accurate and detailed characterisation of treatments and guideline adherence than medical register data.

Sections du résumé

BACKGROUND AND PURPOSE OBJECTIVE
Guideline adherence in radiotherapy is crucial for maintaining treatment quality and consistency, particularly in non-trial patient settings where most treatments occur. The study aimed to assess the impact of guideline changes on treatment planning practices and compare manual registry data accuracy with treatment planning data.
MATERIALS AND METHODS METHODS
This study utilised the DBCG RT Nation cohort, a collection of breast cancer radiotherapy data in Denmark, to evaluate adherence to guidelines from 2008 to 2016. The cohort included 7448 high-risk breast cancer patients. National guideline changes included, fractionation, introduction of respiratory gating, irradiation of the internal mammary lymph nodes, use of the simultaneous integrated boost technique and inclusion of the Left Anterior Descending coronary artery in delineation practice. Methods for structure name mapping, laterality detection, detection of temporal changes in population mean lung volume, and dose evaluation were presented and applied. Manually registered treatment characteristic data was obtained from the Danish Breast Cancer Database for comparison.
RESULTS RESULTS
The study found immediate and consistent adherence to guideline changes across Danish radiotherapy centres. Treatment practices before guideline implementation were documented and showed a variation among centres. Discrepancies between manual registry data and actual treatment planning data were as high as 10% for some measures.
CONCLUSION CONCLUSIONS
National guideline changes could be detected in the routine treatment data, with a high degree of compliance and short implementation time. Data extracted from treatment planning data files provides a more accurate and detailed characterisation of treatments and guideline adherence than medical register data.

Identifiants

pubmed: 38944554
pii: S0167-8140(24)00211-1
doi: 10.1016/j.radonc.2024.110289
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

110289

Informations de copyright

Copyright © 2024. Published by Elsevier B.V.

Déclaration de conflit d'intérêts

Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

Lasse Refsgaard (L)

Department of Experimental Clinical Oncology, Aarhus University Hospital, Denmark; Department of Clinical Medicine, Aarhus University, Aarhus, Denmark. Electronic address: lasref@rm.dk.

Emma Skarsø Buhl (E)

Department of Clinical Medicine, Aarhus University, Aarhus, Denmark; Danish Center for Particle Therapy, Aarhus University Hospital, Aarhus, Denmark.

Esben Yates (E)

Department of Oncology, Aarhus University Hospital, Aarhus, Denmark.

Else Maae (E)

Department of Oncology, Vejle Hospital, University Hospital of Southern Denmark, Denmark.

Martin Berg (M)

Department of Oncology, Vejle Hospital, University Hospital of Southern Denmark, Denmark.

Sami Al-Rawi (S)

Department of Oncology, Zealand University Hospital, Department of Clinical Oncology and Palliative Care, Næstved, Denmark.

Abhilasha Saini (A)

Department of Oncology, Zealand University Hospital, Department of Clinical Oncology and Palliative Care, Næstved, Denmark.

Maja Vestmø Maraldo (M)

Department of Oncology, Copenhagen University Hospital - Rigshospitalet, Copenhagen, Denmark.

Kristian Boye (K)

Department of Oncology, Copenhagen University Hospital - Rigshospitalet, Copenhagen, Denmark.

Marie Louise Holm Milo (M)

Department of Oncology, Aalborg University Hospital, Aalborg, Denmark; Department of Clinical Medicine, Faculty of Medicine, Aalborg University, Aalborg, Denmark.

Ingelise Jensen (I)

Department of Oncology, Aalborg University Hospital, Aalborg, Denmark.

Louise Wichmann Matthiessen (L)

Department of Oncology, Copenhagen University Hospital - Herlev and Gentofte, Copenhagen, Denmark.

Susanne Nørring Bekke (S)

Department of Oncology, Copenhagen University Hospital - Herlev and Gentofte, Copenhagen, Denmark.

Mette Holck Nielsen (M)

Laboratory of Radiation Physics, Department of Oncology, Odense University Hospital, Odense, Denmark; Department of Oncology, Odense University Hospital, Odense, Denmark.

Ebbe Laugaard Lorenzen (E)

Laboratory of Radiation Physics, Department of Oncology, Odense University Hospital, Odense, Denmark.

Lise Bech Jellesmark Thorsen (L)

Department of Experimental Clinical Oncology, Aarhus University Hospital, Denmark; Department of Oncology, Aarhus University Hospital, Aarhus, Denmark.

Stine Sofia Korreman (S)

Department of Clinical Medicine, Aarhus University, Aarhus, Denmark; Danish Center for Particle Therapy, Aarhus University Hospital, Aarhus, Denmark.

Birgitte Vrou Offersen (B)

Department of Experimental Clinical Oncology, Aarhus University Hospital, Denmark; Department of Clinical Medicine, Aarhus University, Aarhus, Denmark; Danish Center for Particle Therapy, Aarhus University Hospital, Aarhus, Denmark; Department of Oncology, Aarhus University Hospital, Aarhus, Denmark.

Classifications MeSH