Structural and functional radiomics for lung cancer
European Journal of Nuclear Medicine and Molecular Imaging, vol. 48, pp. 3961–3974
Abstract
INTRODUCTION: Lung cancer ranks second in new cancer cases and first in cancer-related deaths worldwide. Precision medicine is working on altering treatment approaches and improving outcomes in this patient population. Radiological images are a powerful non-invasive tool in the screening and diagnosis of early-stage lung cancer, treatment strategy support, prognosis assessment, and follow-up for advanced-stage lung cancer. Recently, radiological features have evolved from solely semantic to include (handcrafted and deep) radiomic features. Radiomics entails the extraction and analysis of quantitative features from medical images using mathematical and machine learning methods to explore possible ties with biology and clinical outcomes. METHODS: Here, we outline the latest applications of both structural and functional radiomics in detection, diagnosis, and prediction of pathology, gene mutation, treatment strategy, follow-up, treatment response evaluation, and prognosis in the field of lung cancer. CONCLUSION: The major drawbacks of radiomics are the lack of large datasets with high-quality data, standardization of methodology, the black-box nature of deep learning, and reproducibility. The prerequisite for the clinical implementation of radiomics is that these limitations are addressed. Future directions include a safer and more efficient model-training mode, merge multi-modality images, and combined multi-discipline or multi-omics to form "Medomics."
Authors 8
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Guangyao Wu corresponding
Maastricht University Medical Centre · Maastricht University · Wuhan Union Hospital · Huazhong University of Science and Technology
Affiliation as printed
Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China. g.wu@maastrichtuniversity.nl
Hubei Province Key Laboratory of Molecular Imaging, Wuhan, China. g.wu@maastrichtuniversity.nl
The D-Lab, Department of Precision Medicine, GROW-School for Oncology, Maastricht University Medical Centre+, 6229, Maastricht, The Netherlands. g.wu@maastrichtuniversity.nl
The D-Lab, Department of Precision Medicine, GROW–School for Oncology, Maastricht University Medical Centre+, 6229, Maastricht, The Netherlands
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Maastricht University Medical Centre
Affiliation as printed
The D-Lab, Department of Precision Medicine, GROW-School for Oncology, Maastricht University Medical Centre+, 6229, Maastricht, The Netherlands
The D-Lab, Department of Precision Medicine, GROW–School for Oncology, Maastricht University Medical Centre+, 6229, Maastricht, The Netherlands
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Maastricht University Medical Centre · Jazan University
Affiliation as printed
Department of Diagnostic Radiology, Faculty of Applied Medical Sciences, Jazan University, Jazan, Saudi Arabia
The D-Lab, Department of Precision Medicine, GROW-School for Oncology, Maastricht University Medical Centre+, 6229, Maastricht, The Netherlands
The D-Lab, Department of Precision Medicine, GROW–School for Oncology, Maastricht University Medical Centre+, 6229, Maastricht, The Netherlands
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Abdalla Ibrahim Aachen Department of Nuclear Medicine and Comprehensive diagnostic center Aachen (CDCA)
Maastricht University Medical Centre · Universitätsklinikum Aachen · Centre Hospitalier Universitaire de Liège · RWTH Aachen University
Affiliation as printed
Department of Nuclear Medicine and Comprehensive Diagnostic Center Aachen (CDCA), University Hospital RWTH Aachen University, Aachen, Germany
Department of Radiology and Nuclear Medicine, GROW - School for Oncology, Maastricht University Medical Centre+, Maastricht, The Netherlands
Division of Nuclear Medicine and Oncological Imaging, Department of Medical Physics, Hospital Center Universitaire De Liege, Liege, Belgium
The D-Lab, Department of Precision Medicine, GROW-School for Oncology, Maastricht University Medical Centre+, 6229, Maastricht, The Netherlands
The D-Lab, Department of Precision Medicine, GROW–School for Oncology, Maastricht University Medical Centre+, 6229, Maastricht, The Netherlands
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Maastricht University Medical Centre · Nanfang Hospital · Southern Medical University
Affiliation as printed
Department of Medical Imaging Center, Nanfang Hospital, Southern Medical University, Guangzhou, China
The D-Lab, Department of Precision Medicine, GROW-School for Oncology, Maastricht University Medical Centre+, 6229, Maastricht, The Netherlands
The D-Lab, Department of Precision Medicine, GROW–School for Oncology, Maastricht University Medical Centre+, 6229, Maastricht, The Netherlands
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Maastricht University Medical Centre
Affiliation as printed
The D-Lab, Department of Precision Medicine, GROW-School for Oncology, Maastricht University Medical Centre+, 6229, Maastricht, The Netherlands
The D-Lab, Department of Precision Medicine, GROW–School for Oncology, Maastricht University Medical Centre+, 6229, Maastricht, The Netherlands
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Maastricht University Medical Centre
Affiliation as printed
Department of Radiology and Nuclear Medicine, GROW - School for Oncology, Maastricht University Medical Centre+, Maastricht, The Netherlands
The D-Lab, Department of Precision Medicine, GROW-School for Oncology, Maastricht University Medical Centre+, 6229, Maastricht, The Netherlands
The D-Lab, Department of Precision Medicine, GROW–School for Oncology, Maastricht University Medical Centre+, 6229, Maastricht, The Netherlands
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Maastricht University Medical Centre
Affiliation as printed
Department of Radiology and Nuclear Medicine, GROW - School for Oncology, Maastricht University Medical Centre+, Maastricht, The Netherlands
The D-Lab, Department of Precision Medicine, GROW-School for Oncology, Maastricht University Medical Centre+, 6229, Maastricht, The Netherlands
Department of Radiology and Nuclear Medicine, GROW – School for Oncology, Maastricht University Medical Centre+, Maastricht, The Netherlands
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