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Brown KH, Ghita-Pettigrew M, Kerr BN, Mohamed-Smith L, Walls GM, McGarry CK, Butterworth KT. Characterisation of quantitative imaging biomarkers for inflammatory and fibrotic radiation-induced lung injuries using preclinical radiomics. Radiother Oncol 2024; 192:110106. [PMID: 38253201 DOI: 10.1016/j.radonc.2024.110106] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2023] [Revised: 01/10/2024] [Accepted: 01/17/2024] [Indexed: 01/24/2024]
Abstract
BACKGROUND AND PURPOSE Radiomics is a rapidly evolving area of research that uses medical images to develop prognostic and predictive imaging biomarkers. In this study, we aimed to identify radiomics features correlated with longitudinal biomarkers in preclinical models of acute inflammatory and late fibrotic phenotypes following irradiation. MATERIALS AND METHODS Female C3H/HeN and C57BL6 mice were irradiated with 20 Gy targeting the upper lobe of the right lung under cone-beam computed tomography (CBCT) image-guidance. Blood samples and lung tissue were collected at baseline, weeks 1, 10 & 30 to assess changes in serum cytokines and histological biomarkers. The right lung was segmented on longitudinal CBCT scans using ITK-SNAP. Unfiltered and filtered (wavelet) radiomics features (n = 842) were extracted using PyRadiomics. Longitudinal changes were assessed by delta analysis and principal component analysis (PCA) was used to remove redundancy and identify clustering. Prediction of acute (week 1) and late responses (weeks 20 & 30) was performed through deep learning using the Random Forest Classifier (RFC) model. RESULTS Radiomics features were identified that correlated with inflammatory and fibrotic phenotypes. Predictive features for fibrosis were detected from PCA at 10 weeks yet overt tissue density was not detectable until 30 weeks. RFC prediction models trained on 5 features were created for inflammation (AUC 0.88), early-detection of fibrosis (AUC 0.79) and established fibrosis (AUC 0.96). CONCLUSIONS This study demonstrates the application of deep learning radiomics to establish predictive models of acute and late lung injury. This approach supports the wider application of radiomics as a non-invasive tool for detection of radiation-induced lung complications.
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Affiliation(s)
- Kathryn H Brown
- Patrick G. Johnston Centre for Cancer Research, Queen's University Belfast, Northern Ireland, UK.
| | - Mihaela Ghita-Pettigrew
- Patrick G. Johnston Centre for Cancer Research, Queen's University Belfast, Northern Ireland, UK
| | - Brianna N Kerr
- Patrick G. Johnston Centre for Cancer Research, Queen's University Belfast, Northern Ireland, UK
| | - Letitia Mohamed-Smith
- Patrick G. Johnston Centre for Cancer Research, Queen's University Belfast, Northern Ireland, UK
| | - Gerard M Walls
- Patrick G. Johnston Centre for Cancer Research, Queen's University Belfast, Northern Ireland, UK; Northern Ireland Cancer Centre, Belfast Health & Social Care Trust, Northern Ireland, UK
| | - Conor K McGarry
- Northern Ireland Cancer Centre, Belfast Health & Social Care Trust, Northern Ireland, UK
| | - Karl T Butterworth
- Patrick G. Johnston Centre for Cancer Research, Queen's University Belfast, Northern Ireland, UK
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Wu D, Xu N, Xie Y, Shen Y, Fu Y, Liu L, Chi Z, Lu R, Xiang R, Wen Y, Yang J, Jiang H. Noninvasive optoacoustic imaging of breast tumor microvasculature in response to radiotherapy. Front Physiol 2022; 13:1044308. [PMID: 36324309 PMCID: PMC9618817 DOI: 10.3389/fphys.2022.1044308] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2022] [Accepted: 10/04/2022] [Indexed: 11/13/2022] Open
Abstract
Detailed insight into the radiation-induced changes in tumor microvasculature is crucial to maximize the efficacy of radiotherapy against breast cancer. Recent advances in imaging have enabled precise targeting of solid lesions. However, intratumoral heterogeneity makes treatment planning and monitoring more challenging. Conventional imaging cannot provide high-resolution observation and longitudinal monitoring of large-scale microvascular in response to radiotherapy directly in deep tissues. Herein, we report on an emerging non-invasive imaging assessment method of morphological and functional tumor microvasculature responses with high spatio-temporal resolution by means of optoacoustic imaging (OAI). In vivo imaging of 4T1 breast tumor response to a conventional fractionated radiotherapy at varying dose (14 × 2 Gy and 3 × 8 Gy) has been performed after 2 weeks following treatment. Remarkably, optoacoustic images can generate richful contrast for the tumor microvascular architecture. Besides, the functional status of tumor microvasculature and tumor oxygenation levels were further estimated using OAI. The results revealed the differential (size-dependent) nature of vascular responses to radiation treatments at varying doses. The vessels exhibited an decrease in their density accompanied by a decline in the number of vascular segments following irradiation, compared to the control group. The measurements further revealed an increase of tumor oxygenation levels for 14 × 2 Gy and 3 × 8 Gy irradiations. Our results suggest that OAI could be used to assess the response to radiotherapy based on changes in the functional and morphological status of tumor microvasculature, which are closely linked to the intratumor microenvironment. OAI assessment of the tumor microenvironment such as oxygenation status has the potential to be applied to precise radiotherapy strategy.
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Affiliation(s)
- Dan Wu
- School of Optoelectric Engineering, Chongqing University of Posts and Telecommunications, Chongqing, China
- *Correspondence: Dan Wu, ; Jun Yang, ; Huabei Jiang,
| | - Nan Xu
- Department of Radiology, The Third Affiliated Hospital of Kunming Medical University, Yunnan Cancer Hospital, Kunming, China
| | - Yonghua Xie
- School of Optoelectric Engineering, Chongqing University of Posts and Telecommunications, Chongqing, China
| | - Yang Shen
- School of Optoelectric Engineering, Chongqing University of Posts and Telecommunications, Chongqing, China
| | - Yunlu Fu
- School of Optoelectric Engineering, Chongqing University of Posts and Telecommunications, Chongqing, China
| | - Liang Liu
- School of Optoelectric Engineering, Chongqing University of Posts and Telecommunications, Chongqing, China
| | - Zihui Chi
- School of Optoelectric Engineering, Chongqing University of Posts and Telecommunications, Chongqing, China
| | - Runyu Lu
- School of Optoelectric Engineering, Chongqing University of Posts and Telecommunications, Chongqing, China
| | - Renjie Xiang
- School of Optoelectric Engineering, Chongqing University of Posts and Telecommunications, Chongqing, China
| | - Yanting Wen
- School of Optoelectric Engineering, Chongqing University of Posts and Telecommunications, Chongqing, China
- Ultrasonic Department, The Fifth People’s Hospital of Chengdu, Chengdu, China
| | - Jun Yang
- Department of Radiology, The Third Affiliated Hospital of Kunming Medical University, Yunnan Cancer Hospital, Kunming, China
- *Correspondence: Dan Wu, ; Jun Yang, ; Huabei Jiang,
| | - Huabei Jiang
- Department of Medical Engineering, University of South Florida, Tampa, FL, United States
- *Correspondence: Dan Wu, ; Jun Yang, ; Huabei Jiang,
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Affiliation(s)
- Jens Overgaard
- Department of Experimental Clinical Oncology, Aarhus University Hospital, Aarhus, Denmark
| | - Ludvig Paul Muren
- Department of Medical Physics, Aarhus University Hospital, Aarhus, Denmark
| | - Morten Høyer
- Danish Centre for Particle Therapy, Aarhus University Hospital, Aarhus, Denmark
| | - Cai Grau
- Department of Oncology and Danish Centre for Particle Therapy, Aarhus University Hospital, Aarhus, Denmark
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Ghita M, Dunne V, Hanna GG, Prise KM, Williams JP, Butterworth KT. Preclinical models of radiation-induced lung damage: challenges and opportunities for small animal radiotherapy. Br J Radiol 2019; 92:20180473. [PMID: 30653332 DOI: 10.1259/bjr.20180473] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/28/2022] Open
Abstract
Despite a major paradigm shift in radiotherapy planning and delivery over the past three decades with continuing refinements, radiation-induced lung damage (RILD) remains a major dose limiting toxicity in patients receiving thoracic irradiations. Our current understanding of the biological processes involved in RILD which includes DNA damage, inflammation, senescence and fibrosis, is based on clinical observations and experimental studies in mouse models using conventional radiation exposures. Whilst these studies have provided vital information on the pulmonary radiation response, the current implementation of small animal irradiators is enabling refinements in the precision and accuracy of dose delivery to mice which can be applied to studies of RILD. This review presents the current landscape of preclinical studies in RILD using small animal irradiators and highlights the challenges and opportunities for the further development of this emerging technology in the study of normal tissue damage in the lung.
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Affiliation(s)
- Mihaela Ghita
- 1 Centre for Cancer Research and Cell Biology, Queen's University Belfast , Belfast , Northern Ireland, UK
| | - Victoria Dunne
- 1 Centre for Cancer Research and Cell Biology, Queen's University Belfast , Belfast , Northern Ireland, UK
| | - Gerard G Hanna
- 1 Centre for Cancer Research and Cell Biology, Queen's University Belfast , Belfast , Northern Ireland, UK.,2 Northern Ireland Cancer Centre, Belfast City Hospital , Belfast , Northern Ireland, UK
| | - Kevin M Prise
- 1 Centre for Cancer Research and Cell Biology, Queen's University Belfast , Belfast , Northern Ireland, UK
| | - Jaqueline P Williams
- 3 University of Rochester Medical Centre, University of Rochester , Rochester , USA
| | - Karl T Butterworth
- 1 Centre for Cancer Research and Cell Biology, Queen's University Belfast , Belfast , Northern Ireland, UK
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A prospective study of the feasibility of FDG-PET/CT imaging to quantify radiation-induced lung inflammation in locally advanced non-small cell lung cancer patients receiving proton or photon radiotherapy. Eur J Nucl Med Mol Imaging 2018; 46:206-216. [PMID: 30229527 DOI: 10.1007/s00259-018-4154-5] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2018] [Accepted: 08/29/2018] [Indexed: 12/13/2022]
Abstract
PURPOSE This prospective study assessed the feasibility of 18F-2-fluoro-2-deoxy-D-glucose (FDG) positron emission tomography/computed tomography (PET/CT) to quantify radiation-induced lung inflammation in patients with locally advanced non-small cell lung cancer (NSCLC) who received radiotherapy (RT), and compared the differences in inflammation in the ipsilateral and contralateral lungs following proton and photon RT. METHODS Thirty-nine consecutive patients with NSCLC underwent FDG-PET/CT imaging before and after RT on a prospective study. A novel quantitative approach utilized regions of interest placed around the anatomical boundaries of the lung parenchyma and provided lung mean standardized uptake value (SUVmean), global lung glycolysis (GLG), global lung parenchymal glycolysis (GLPG) and total lung volume (LV). To quantify primary tumor metabolic response to RT, an adaptive contrast-oriented thresholding algorithm was applied to measure metabolically active tumor volume (MTV), tumor uncorrected SUVmean, tumor partial volume corrected SUVmean (tumor-PVC-SUVmean), and total lesion glycolysis (TLG). Parameters of FDG-PET/CT scans before and after RT were compared using two-tailed paired t-tests. RESULTS All tumor parameters after either proton or photon RT decreased significantly (p < 0.001). Among the 21 patients treated exclusively with proton RT, no significant increase in PVC-SUVmean or PVC-GLPG was observed in ipsilateral lungs after the PVC parameters of primary tumor were subtracted (p = 0.114 and p = 0.453, respectively). Also, there were no significant increases in SUVmean or GLG of contralateral lungs of patients who received proton RT (p = 0.841, p = 0.241, respectively). In contrast, among the nine patients who received photon RT, there was a statistically significant increase in PVC-GLPG of ipsilateral lung (p < 0.001) and in GLG of contralateral (p = 0.036) lung. In the subset of nine patients who received a combined proton and photon RT, there was a statistically significant increase in PVC-GLPG of ipsilateral lung (p < 0.001). CONCLUSION Our data suggest less induction of inflammatory response in both the ipsilateral and contralateral lungs of patients treated with proton compared to photon or combined proton-photon RT.
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Grau C, Høyer M, Poulsen PR, Muren LP, Korreman SS, Tanderup K, Lindegaard JC, Alsner J, Overgaard J. Rethink radiotherapy - BIGART 2017. Acta Oncol 2017; 56:1341-1352. [PMID: 29148908 DOI: 10.1080/0284186x.2017.1371326] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Affiliation(s)
- Cai Grau
- Department of Oncology, Aarhus University Hospital, Aarhus, Denmark
| | - Morten Høyer
- Department of Oncology, Aarhus University Hospital, Aarhus, Denmark
| | | | - Ludvig Paul Muren
- Department of Medical Physics, Aarhus University Hospital, Aarhus, Denmark
| | | | - Kari Tanderup
- Department of Medical Physics, Aarhus University Hospital, Aarhus, Denmark
| | | | - Jan Alsner
- Department of Experimental Clinical Oncology, Aarhus University Hospital, Aarhus, Denmark
| | - Jens Overgaard
- Department of Experimental Clinical Oncology, Aarhus University Hospital, Aarhus, Denmark
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