Radiomics approach for identifying radiation-induced normal tissue toxicity in the lung

Lambin, P. et al. Radiomics: extracting more information from medical images using advanced feature analysis. Eur. J. Cancer Oxf. Engl. 1990. 48, 441–446 (2012).
Google Scholar 
Gillies, R. J., Kinahan, P. E. & Hricak, H. Radiomics: images are more than pictures, they are data. Radiology. 278, 563–577 (2016).Article 
PubMed 

Google Scholar 
Aerts, H. J. W. L. et al. Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approach. Nat. Commun. 5, 4006 (2014).Article 
ADS 
CAS 
PubMed 

Google Scholar 
Osapoetra, L. O. et al. Assessment of clinical radiosensitivity in patients with head-neck squamous cell carcinoma from pre-treatment quantitative ultrasound radiomics. Sci. Rep. 11, 6117 (2021).Article 
ADS 
PubMed 
PubMed Central 

Google Scholar 
Gardin, I. et al. Radiomics: principles and radiotherapy applications. Crit. Rev. Oncol. Hematol. 138, 44–50 (2019).Article 
CAS 
PubMed 

Google Scholar 
Tang, F. H. et al. Prognostic prediction of Cancer based on Radiomics features of diagnostic imaging: the performance of machine learning strategies. J. Digit. Imaging. 36, 1081–1090 (2023).Article 
PubMed 
PubMed Central 

Google Scholar 
Wu, S. et al. Pretreatment radiomic biomarker for immunotherapy responder prediction in stage IB–IV NSCLC (LCDigital-IO Study): a multicenter retrospective study. J. Immunother Cancer. 11, e007369 (2023).Article 
PubMed 
PubMed Central 

Google Scholar 
Desideri, I. et al. Application of Radiomics for the prediction of Radiation-Induced toxicity in the IMRT era: current state-of-the-art. Front. Oncol. 10, 1708 (2020).Zhang, H. et al. Construction of a radiomics-based model for predicting the efficacy of radiotherapy and chemotherapy for non-small cell lung cancer. Heliyon. 10, e23923 (2024).Article 
CAS 
PubMed 

Google Scholar 
Wang, K. et al. Deep learning Radiomics of shear wave elastography significantly improved diagnostic performance for assessing liver fibrosis in chronic hepatitis B: a prospective multicentre study. Gut. 68, 729–741 (2019).Article 
CAS 
PubMed 

Google Scholar 
Lafata, K. J. et al. An exploratory Radiomics Approach to quantifying pulmonary function in CT images. Sci. Rep. 9, 11509 (2019).Article 
ADS 
PubMed 
PubMed Central 

Google Scholar 
Hassan, I. et al. Radiomic texture analysis Mapping predicts areas of true functional MRI activity. Sci. Rep. 6, 25295 (2016).Article 
ADS 
CAS 
PubMed 
PubMed Central 

Google Scholar 
Elmahdy, M. & Sebro, R. Radiomics analysis in medical imaging research. J. Med. Radiat. Sci. 70, 3–7 (2023).Article 
PubMed 
PubMed Central 

Google Scholar 
Homayounieh, F. et al. CT Radiomics, radiologists, and Clinical Information in Predicting Outcome of patients with COVID-19 pneumonia. Radiol. Cardiothorac. Imaging. 2, e200322 (2020).Article 
PubMed 
PubMed Central 

Google Scholar 
Bai, H. X. et al. AI Augmentation of Radiologist performance in distinguishing COVID-19 from Pneumonia of other etiology on chest CT. Radiology. 201491https://doi.org/10.1148/radiol.2020201491 (2020).Chen, H. J. et al. Machine learning-based CT radiomics model distinguishes COVID-19 from non-COVID-19 pneumonia. BMC Infect. Dis. 21, 931 (2021).Article 
CAS 
PubMed 
PubMed Central 

Google Scholar 
Qin, Q. et al. Cone-beam CT radiomics features might improve the prediction of lung toxicity after SBRT in stage I NSCLC patients. Thorac. Cancer. 11, 964–972 (2020).Article 
PubMed 
PubMed Central 

Google Scholar 
Niezink, A. G. H., de Jong, R. A., Muijs, C. T., Langendijk, J. A. & Widder, J. Pulmonary function changes after Radiotherapy for Lung or Esophageal Cancer: a systematic review focusing on dose-volume parameters. Oncologist. 22, 1257–1264 (2017).Article 
PubMed 
PubMed Central 

Google Scholar 
Pinnix, C. C. et al. Predictors of Radiation Pneumonitis in patients receiving intensity-modulated Radiation Therapy for Hodgkin and Non-hodgkin Lymphoma. Int. J. Radiat. Oncol. Biol. Phys. 92, 175–182 (2015).Article 
PubMed 
PubMed Central 

Google Scholar 
Giuranno, L., Ient, J., De Ruysscher, D. & Vooijs, M. A. Radiation-Induced Lung Injury (RILI). Front. Oncol. 9, 877 (2019).Article 
PubMed 
PubMed Central 

Google Scholar 
Curras-Alonso, S. et al. An interactive murine single-cell atlas of the lung responses to radiation injury. Nat. Commun. 14, 2445 (2023).Article 
ADS 
CAS 
PubMed 
PubMed Central 

Google Scholar 
Anthony, G. J. et al. Incorporation of pre-therapy 18F-FDG uptake data with CT texture features into a radiomics model for radiation pneumonitis diagnosis. Med. Phys. 44, 3686–3694 (2017).Article 
CAS 
PubMed 
PubMed Central 

Google Scholar 
Cunliffe, A. et al. Lung texture in serial thoracic computed tomography scans: correlation of Radiomics-based features with Radiation Therapy Dose and Radiation Pneumonitis Development. Int. J. Radiat. Oncol. Biol. Phys. 91, 1048–1056 (2015).Article 
PubMed 
PubMed Central 

Google Scholar 
Colombo, M., Raposo, G., Théry, C. & Biogenesis Secretion, and Intercellular Interactions of Exosomes and other Extracellular vesicles. Annu. Rev. Cell. Dev. Biol. 30, 255–289 (2014).Article 
CAS 
PubMed 

Google Scholar 
Leavitt, R. J., Acharya, M. M., Baulch, J. E. & Limoli, C. L. Extracellular vesicle-derived miR-124 resolves radiation-induced brain injury. Cancer Res. 80, 4266–4277 (2020).Article 
CAS 
PubMed 
PubMed Central 

Google Scholar 
Kalani, A., Tyagi, A., Tyagi, N. & Exosomes Mediators of neurodegeneration, Neuroprotection and therapeutics. Mol. Neurobiol. 49, 590–600 (2014).Article 
CAS 
PubMed 

Google Scholar 
Muthu, S., Bapat, A., Jain, R., Jeyaraman, N. & Jeyaraman, M. Exosomal therapy—a new frontier in regenerative medicine. Stem Cell. Investig. 8, 7 (2021).Article 
CAS 
PubMed 
PubMed Central 

Google Scholar 
Jo, H., Shim, K. & Jeoung, D. Exosomes: diagnostic and therapeutic implications in Cancer. Pharmaceutics. 15, 1465 (2023).Article 
CAS 
PubMed 
PubMed Central 

Google Scholar 
Acharya, M. M. et al. Human neural stem cell transplantation ameliorates Radiation-Induced Cognitive Dysfunction. Cancer Res. 71, 4834–4845 (2011).Article 
CAS 
PubMed 
PubMed Central 

Google Scholar 
Baulch, J. E. et al. Cranial grafting of stem cell-derived microvesicles improves cognition and reduces neuropathology in the irradiated brain. Proc. Natl. Acad. Sci. 113, 4836–4841 (2016).Montay-Gruel, P. et al. Extracellular vesicles for the treatment of Radiation-Induced Normal tissue toxicity in the lung. Front. Oncol. 10, 602763 (2020).Article 
PubMed 

Google Scholar 
Parmar, C., Grossmann, P., Bussink, J., Lambin, P. & Aerts, H. J. W. L. Machine Learning methods for quantitative Radiomic biomarkers. Sci. Rep. 5, 13087 (2015).Article 
ADS 
CAS 
PubMed 
PubMed Central 

Google Scholar 
Krafft, S. P. et al. The utility of quantitative CT radiomics features for improved prediction of radiation pneumonitis. Med. Phys. 45, 5317–5324 (2018).Article 
PubMed 

Google Scholar 
Moran, A., Daly, M. E., Yip, S. S. F. & Yamamoto, T. Radiomics-based Assessment of Radiation-induced lung Injury after stereotactic body Radiotherapy. Clin. Lung Cancer. 18, e425–e431 (2017).Article 
CAS 
PubMed 

Google Scholar 
Walls, G. M. et al. Radiomics for Predicting Lung Cancer outcomes following Radiotherapy: a systematic review. Clin. Oncol. 34, e107–e122 (2022).Article 
CAS 

Google Scholar 
Barua, S. et al. Computed Tomography Radiomics Kinetics as early imaging correlates of osteoradionecrosis in Oropharyngeal Cancer patients. Front. Artif. Intell. 4, 618469 (2021).Article 
PubMed 
PubMed Central 

Google Scholar 
Liu, Y. et al. Early prediction of acute xerostomia during radiation therapy for nasopharyngeal cancer based on delta radiomics from CT images. Quant. Imaging Med. Surg. 9, 1288–1302 (2019).Article 
ADS 
PubMed 
PubMed Central 

Google Scholar 
Abdollahi, H. et al. Rectal wall MRI radiomics in prostate cancer patients: prediction of and correlation with early rectal toxicity. Int. J. Radiat. Biol. 94, 829–837 (2018).Article 
CAS 
PubMed 

Google Scholar 
Monti, S., Truppa, M. E., Albanese, S. & Mancini, M. Radiomics and Radiogenomics in Preclinical Imaging on Murine models: a narrative review. J. Pers. Med. 13, 1204 (2023).Article 
PubMed 
PubMed Central 

Google Scholar 
Schniering, J. et al. Computed tomography-based radiomics decodes prognostic and molecular differences in interstitial lung disease related to systemic sclerosis. Eur. Respir J. 59, 2004503 (2022).Article 
CAS 
PubMed 
PubMed Central 

Google Scholar 
Liu, T., De Los Santos, F. G. & Phan, S. H. The Bleomycin Model of Pulmonary Fibrosis. Methods Mol. Biol. Clifton NJ. 1627, 27–42 (2017).Article 
CAS 

Google Scholar 
Szigeti, K. et al. Radiomics-based differentiation of lung disease models generated by polluted air based on X-ray computed tomography data. BMC Med. Imaging. 16, 14 (2016).Article 
PubMed 
PubMed Central 

Google Scholar 
Brown, K. H. et al. Characterisation of quantitative imaging biomarkers for inflammatory and fibrotic radiation-induced lung injuries using preclinical radiomics. Radiother Oncol. 192, 110106 (2024).Article 
CAS 
PubMed 

Google Scholar 
Zwanenburg, A., Leger, S., Vallières, M. & Löck S. Image biomarker standardisation initiative.Sert, N. P. et al. Reporting animal research: explanation and elaboration for the ARRIVE guidelines 2.0. PLOS Biol. 18, e3000411 (2020).Article 

Google Scholar 
van Timmeren, J. E., Cester, D., Tanadini-Lang, S., Alkadhi, H. & Baessler, B. Radiomics in medical imaging—how-to guide and critical reflection. Insights Imaging. 11, 91 (2020).Article 
PubMed 
PubMed Central 

Google Scholar 
Simon, B. A., Christensen, G. E., Low, D. A. & Reinhardt, J. M. Computed Tomography studies of Lung mechanics. Proc. Am. Thorac. Soc. 2, 517–521 (2005).Article 
PubMed 
PubMed Central 

Google Scholar 
Frix, A. N. et al. Radiomics in Lung diseases Imaging: state-of-the-art for clinicians. J. Pers. Med. 11, 602 (2021).Article 
PubMed 
PubMed Central 

Google Scholar 
van Griethuysen, J. J. et al. Computational Radiomics System to Decode the Radiographic phenotype. Cancer Res. 77, e104–e107 (2017).Article 
PubMed 
PubMed Central 

Google Scholar 
Tixier, F. et al. Intratumor heterogeneity characterized by textural features on baseline 18F-FDG PET images predicts response to concomitant radiochemotherapy in esophageal cancer. J. Nucl. Med. 52, 369–378 (2011).Article 
PubMed 

Google Scholar 
Badiyan, R., Montay-Gruel, P., Batra, A.S. and Limoli, C.L. Assessment of cardiotoxicity in mice following thoracic radiotherapy and systemic stem-cell derived extracellular vesicle treatments. J. Cancer Biol. Res. 10, 1139, https://doi.org/10.47739/2373-9436/1139(2023).