Catarina Veiga1, David Landau2, Anand Devaraj3, Tom Doel4, Jared White4, Yenting Ngai5, David J Hawkes4, Jamie R McClelland4. 1. Centre for Medical Image Computing, Department of Medical Physics and Biomedical Engineering, University College London, London, United Kingdom. Electronic address: c.veiga@ucl.ac.uk. 2. Department of Oncology, Guy's & St. Thomas' NHS Trust, London, United Kingdom; Department of Oncology, University College London Hospital, London, United Kingdom. 3. Department of Radiology, Royal Brompton Hospital, London, United Kingdom. 4. Centre for Medical Image Computing, Department of Medical Physics and Biomedical Engineering, University College London, London, United Kingdom. 5. Cancer Research UK and UCL Cancer Trials Centre, University College London, London, United Kingdom.
Abstract
PURPOSE: Recent improvements in lung cancer survival have spurred an interest in understanding and minimizing long-term radiation-induced lung damage (RILD). However, there are still no objective criteria to quantify RILD, leading to variable reporting across centers and trials. We propose a set of objective imaging biomarkers for quantifying common radiologic findings observed 12 months after lung cancer radiation therapy. METHODS AND MATERIALS: Baseline and 12-month computed tomography (CT) scans of 27 patients from a phase 1/2 clinical trial of isotoxic chemoradiation were included in this study. To detect and measure the severity of RILD, 12 quantitative imaging biomarkers were developed. The biomarkers describe basic CT findings, including parenchymal change, volume reduction, and pleural change. The imaging biomarkers were implemented as semiautomated image analysis pipelines and were assessed against visual assessment of the occurrence of each change. RESULTS: Most of the biomarkers were measurable in each patient. The continuous nature of the biomarkers allows objective scoring of severity for each patient. For each imaging biomarker, the cohort was split into 2 groups according to the presence or absence of the biomarker by visual assessment, testing the hypothesis that the imaging biomarkers were different in the 2 groups. All features were statistically significant except for rotation of the main bronchus and diaphragmatic curvature. Most of the biomarkers were not strongly correlated with each other, suggesting that each of the biomarkers is measuring a separate element of RILD pathology. CONCLUSIONS: We developed objective CT-based imaging biomarkers that quantify the severity of radiologic lung damage after radiation therapy. These biomarkers are representative of typical radiologic findings of RILD.
PURPOSE: Recent improvements in lung cancer survival have spurred an interest in understanding and minimizing long-term radiation-induced lung damage (RILD). However, there are still no objective criteria to quantify RILD, leading to variable reporting across centers and trials. We propose a set of objective imaging biomarkers for quantifying common radiologic findings observed 12 months after lung cancer radiation therapy. METHODS AND MATERIALS: Baseline and 12-month computed tomography (CT) scans of 27 patients from a phase 1/2 clinical trial of isotoxic chemoradiation were included in this study. To detect and measure the severity of RILD, 12 quantitative imaging biomarkers were developed. The biomarkers describe basic CT findings, including parenchymal change, volume reduction, and pleural change. The imaging biomarkers were implemented as semiautomated image analysis pipelines and were assessed against visual assessment of the occurrence of each change. RESULTS: Most of the biomarkers were measurable in each patient. The continuous nature of the biomarkers allows objective scoring of severity for each patient. For each imaging biomarker, the cohort was split into 2 groups according to the presence or absence of the biomarker by visual assessment, testing the hypothesis that the imaging biomarkers were different in the 2 groups. All features were statistically significant except for rotation of the main bronchus and diaphragmatic curvature. Most of the biomarkers were not strongly correlated with each other, suggesting that each of the biomarkers is measuring a separate element of RILD pathology. CONCLUSIONS: We developed objective CT-based imaging biomarkers that quantify the severity of radiologic lung damage after radiation therapy. These biomarkers are representative of typical radiologic findings of RILD.
Authors: Catarina Veiga; Edward Chandy; Joseph Jacob; Natalie Yip; Adam Szmul; David Landau; Jamie R McClelland Journal: Radiother Oncol Date: 2020-03-30 Impact factor: 6.280
Authors: Yanjing Li; Michael Dykstra; Till D Best; Jennifer Pursley; Nitish Chopra; Florence K Keane; Melin J Khandekar; Gregory C Sharp; Harald Paganetti; Henning Willers; Florian J Fintelmann; Clemens Grassberger Journal: Radiother Oncol Date: 2019-04-20 Impact factor: 6.280
Authors: Adam Szmul; Edward Chandy; Catarina Veiga; Joseph Jacob; Alkisti Stavropoulou; David Landau; Crispin T Hiley; Jamie R McClelland Journal: Cancers (Basel) Date: 2022-03-05 Impact factor: 6.639
Authors: Edward Chandy; Adam Szmul; Alkisti Stavropoulou; Joseph Jacob; Catarina Veiga; David Landau; James Wilson; Sarah Gulliford; John D Fenwick; Maria A Hawkins; Crispin Hiley; Jamie R McClelland Journal: Cancers (Basel) Date: 2022-02-14 Impact factor: 6.639
Authors: John D Fenwick; David B Landau; Angela T Baker; Andrew T Bates; Chinnamani Eswar; Angel Garcia-Alonso; Susan V Harden; Marianne C Illsley; Virginia Laurence; Zafar Malik; William Philip M Mayles; Elizabeth Miles; Nazia Mohammed; James Spicer; Paula Wells; Sindu Vivekanandan; Anne-Marie Mullin; Laura Hughes; Laura Farrelly; Yenting Ngai; Nicholas Counsell Journal: Int J Radiat Oncol Biol Phys Date: 2019-12-03 Impact factor: 7.038