ArticlePhysics and imaging in radiation oncology2020
Quantification of accumulated dose and associated anatomical changes of esophagus using weekly Magnetic Resonance Imaging acquired during radiotherapy of locally advanced lung cancer.
Article in Physics and imaging in radiation oncology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed, 22 citations in OpenAlex.
- Quantifying the Effect of 4-Dimensional Computed Tomography-Based Deformable Dose Accumulation on Representing Radiation Damage for Patients with Locally Advanced Non-Small Cell Lung Cancer Treated with Standard-Fractionated Intensity-Modulated Radiation Therapy.International journal of radiation oncology, biology, physics · 2024Trial
- Short-course hypofractionated radiotherapy of 4 Gy per fraction for limited-stage small cell lung cancer: a randomized pilot trial.Translational lung cancer research · 2025Article
- Artificial intelligence-based automated segmentation and radiotherapy dose mapping for thoracic normal tissues.Physics and imaging in radiation oncology · 2024Article
- Intrafraction motion analysis in online adaptive radiotherapy for esophageal cancer.Physics and imaging in radiation oncology · 2023Article
- Seq2Morph: A deep learning deformable image registration algorithm for longitudinal imaging studies and adaptive radiotherapy.Medical physics · 2023Article
- Predictors for late genitourinary toxicity in men receiving radiotherapy for high-risk prostate cancer using planned and accumulated dose.Physics and imaging in radiation oncology · 2023Article
- Deep learning driven predictive treatment planning for adaptive radiotherapy of lung cancer.Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology · 2022Article
- Inter- and intrafraction motion assessment and accumulated dose quantification of upper gastrointestinal organs during magnetic resonance-guided ablative radiation therapy of pancreas patients.Physics and imaging in radiation oncology · 2022Article
- Deformation driven Seq2Seq longitudinal tumor and organs-at-risk prediction for radiotherapy.Medical physics · 2021Article
- Early Prediction of Acute Esophagitis for Adaptive Radiation Therapy.International journal of radiation oncology, biology, physics · 2021Article
- Deep cross-modality (MR-CT) educed distillation learning for cone beam CT lung tumor segmentation.Medical physics · 2021Article
- Generalizable cone beam CT esophagus segmentation using physics-based data augmentation.Physics in medicine and biology · 2021Article
- Predicting spatial esophageal changes in a multimodal longitudinal imaging study via a convolutional recurrent neural network.Physics in medicine and biology · 2020Article
- Predictive dose accumulation for HN adaptive radiotherapy.Physics in medicine and biology · 2020Article
- Future directions on the merge of quantitative imaging and artificial intelligence in radiation oncology.Physics and imaging in radiation oncology · 2020Article
- Towards spatial representations of dose distributions to predict risk of normal tissue morbidity after radiotherapy.Physics and imaging in radiation oncology · 2020Article
- Effect of the Residual Errors on the Dose for Left-Sided Breast Cancer Radiotherapy After Translation Error Correction Based on CBCT.Technology in cancer research & treatmentArticle
Corrections and comments
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Authors and funding
11 authors at 2 institutions in 2 countries.
Funding
Abstract
background and purposeMinimizing acute esophagitis (AE) in locally advanced non-small cell lung cancer (LA-NSCLC) is critical given the proximity between the esophagus and the tumor. In this pilot study, we developed a clinical platform for quantification of accumulated doses and volumetric changes of esophagus via weekly Magnetic Resonance Imaging (MRI) for adaptive radiotherapy (RT). MATERIAL AND
methodsEleven patients treated via intensity-modulated RT to 60-70 Gy in 2-3 Gy-fractions with concurrent chemotherapy underwent weekly MRIs. Eight patients developed AE grade 2 (AE2), 3-6 weeks after RT started. First, weekly MRI esophagus contours were rigidly propagated to planning CT and the distances between the medial esophageal axes were calculated as positional uncertainties. Then, the weekly MRI were deformably registered to the planning CT and the total dose delivered to esophagus was accumulated. Weekly Maximum Esophagus Expansion (MEex) was calculated using the Jacobian map. Eventually, esophageal dose parameters (Mean Esophagus Dose (MED), V
resultsPositional esophagus uncertainties were 6.8 ± 1.8 mm across patients. For the entire cohort at the end of RT: the median accumulated MED was significantly higher than the planned dose (24 Gy vs. 21 Gy
conclusionsMRI is well suited for tracking esophagus volumetric changes and accumulating doses. Longitudinal esophagus expansion could reflect radiation-induced inflammation that may link to AE.
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