ArticleThoracic cancer2023
Learning curve of lung dose optimization in intensity-modulated radiotherapy for locally advanced non-small cell lung cancer.
Article in Thoracic cancer, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Maximal feasible resection versus hybrid therapy in spinal metastases: an updated narrative review.World journal of surgical oncology · 2025Review
- Treatment time and learning curve analysis of 1.5 T MR-Linac workflows led by radiation oncologists or therapists.Clinical and translational radiation oncology · 2025Article
- Challenges and opportunities for real-world evidence in clinical oncology-a view from the UK: proceedings of a national workshop.ESMO real world data and digital oncology · 2024Article
- Learning curve of lung dose optimization in intensity-modulated radiotherapy for locally advanced non-small cell lung cancer.Thoracic cancer · 2023Article
- Effects of Institutional Experience on Plan Quality in Stereotactic Radiotherapy Using HyperArc for Brain Metastases.In vivo (Athens, Greece)Article
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Authors and funding
11 authors.
Funding
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Abstract
backgroundIntensity-modulated radiotherapy (IMRT) has been increasingly used for patients with locally advanced non-small cell lung cancer (LA-NSCLC). However, there are some barriers to implementing IMRT for LA-NSCLC, including the complexity of treatment plan optimization. This study aimed to evaluate the learning curve of lung dose optimization in IMRT for LA-NSCLC and identify the factors that affect the degree of achievement of lung dose optimization.
methodsWe retrospectively evaluated 40 consecutive patients with LA-NSCLC who received concurrent chemoradiotherapy at our institution. These 40 patients were divided into two groups: 20 initially treated patients (earlier group) and 20 subsequently treated patients (later group). Patient and tumor characteristics were compared between the two groups. The dose-volume parameter ratio between the actually delivered IMRT plan and the simulated three-dimensional conformal radiotherapy plan was also compared between the two groups to determine the learning curve of lung dose optimization.
resultsThe dose-volume parameter ratio for lung volume to receive more than 5 Gy (lung V5) and mean lung dose (MLD) significantly decreased in later groups. The spread of the beam path and insufficient optimization of dose coverage of planning target volume (PTV) might cause poor control of lung V5, MLD.
conclusionsA learning curve for lung dose optimization was observed with the accumulation of experience. Appropriate techniques, such as restricting the beam path and ensuring dose coverage of PTV during the optimization process, are essential to control lung dose in IMRT for LA-NSCLC.
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