ArticleInternational journal of radiation oncology, biology, physics2017
Variabilities of Magnetic Resonance Imaging-, Computed Tomography-, and Positron Emission Tomography-Computed Tomography-Based Tumor and Lymph Node Delineations for Lung Cancer Radiation Therapy Planning.
Article in International journal of radiation oncology, biology, physics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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Who cites it
18 citing papers in PubMed.
- Clinical validation of a high-definition mid-position magnetic resonance imaging approach for lung radiotherapy planning.Medical physics · 2026Article
- Magnetic resonance imaging thoracic organ-at-risk atlas for radiation oncology.Physics and imaging in radiation oncology · 2026Article
- Recommendations for contouring of gross tumour volume for locally advanced lung cancer using magnetic resonance imaging.Physics and imaging in radiation oncology · 2026Article
- Neuroendocrine carcinoma of the cervix (NECC): A retrospective study of 175 Chinese patients.European journal of obstetrics & gynecology and reproductive biology: X · 2025Article
- Comparing the outcomes of MR-based versus CT-based tumor delineation in locally advanced non-small cell lung cancer treated with hypo-fractionated radiotherapy and concurrent chemotherapy.Translational lung cancer research · 2024Article
- Review
- Automated segmentation of lesions and organs at risk on [Cancer imaging : the official publication of the International Cancer Imaging Society · 2024Article
- [Research progress on the identification of central lung cancer and atelectasis using multimodal imaging].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2023Review
- Unpaired Cross-Modality Educed Distillation (CMEDL) for Medical Image Segmentation.IEEE transactions on medical imaging · 2022Article
- Reduction of inter-observer variability using MRI and CT fusion in delineating of primary tumor for radiotherapy in lung cancer with atelectasis.Frontiers in oncology · 2022Article
- Comparison of gross target volumes based on four-dimensional CT, positron emission tomography-computed tomography, and magnetic resonance imaging in thoracic esophageal cancer.Cancer medicine · 2020Article
- Deep neural network for automatic characterization of lesions onEuropean journal of nuclear medicine and molecular imaging · 2020Article
- Comparison of gross tumor volumes of pulmonary metastasis defined by CT and MRI in 0.345 T MRI-guided radiotherapy.BJR open · 2020Article
- Does magnetic resonance imaging improve soft tissue sarcoma contouring for radiotherapy?BJR open · 2019Article
- Chest Magnetic Resonance Imaging Decreases Inter-observer Variability of Gross Target Volume for Lung Tumors.Frontiers in oncology · 2019Article
- The impact of a radiologist-led workshop on MRI target volume delineation for radiotherapy.Journal of medical radiation sciences · 2018Article
- Variability of Gross Tumor Volume Delineation for Stereotactic Body Radiotherapy of the Lung With Tri-Technology in cancer research & treatment · 2018Article
- Magnetic resonance imaging in precision radiation therapy for lung cancer.Translational lung cancer research · 2017Review
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12 authors.
Funding
Abstract
purposeTo investigate interobserver delineation variability for gross tumor volumes of primary lung tumors and associated pathologic lymph nodes using magnetic resonance imaging (MRI), and to compare the results with computed tomography (CT) alone- and positron emission tomography (PET)-CT-based delineations. METHODS AND MATERIALS: Seven physicians delineated the tumor volumes of 10 patients for the following scenarios: (1) CT only, (2) PET-CT fusion images registered to CT ("clinical standard"), and (3) postcontrast T1-weighted MRI registered with diffusion-weighted MRI. To compute interobserver variability, the median surface was generated from all observers' contours and used as the reference surface. A physician labeled the interface types (tumor to lung, atelectasis (collapsed lung), hilum, mediastinum, or chest wall) on the median surface. Contoured volumes and bidirectional local distances between individual observers' contours and the reference contour were analyzed.
resultsComputed tomography- and MRI-based tumor volumes normalized relative to PET-CT-based volumes were 1.62 ± 0.76 (mean ± standard deviation) and 1.38 ± 0.44, respectively. Volume differences between the imaging modalities were not significant. Between observers, the mean normalized volumes per patient averaged over all patients varied significantly by a factor of 1.6 (MRI) and 2.0 (CT and PET-CT) (P=4.10 × 10
conclusionsAlthough MRI-based contouring showed overall larger variability than PET-CT, contouring variability depended on the interface type and was not significantly different between modalities, despite the limited observer experience with MRI. Multimodality imaging and combining different imaging characteristics might be the best approach to define the tumor volume most accurately.
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