Imaging in Non-Small Cell Lung Cancer

73.2K

views

145

authors

18

articles

Imaging in Non-Small Cell Lung Cancer

73.2K

views

145

authors

18

articles

Editorial

07 February 2023

Editorial: Imaging in non-small cell lung cancer

Yiyan Liu

2,218 views

1 citations

Editors

2

School of Medicine, University of Louisville

Georgios S. Limouris

School of Health Sciences, National and Kapodistrian University of Athens

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Non-Small Cell Lung Cancer (NSCLC) accounts for around 80% to 85% of all lung cancer cases, and is the leading cause of cancer death worldwide. Imaging such as computed tomography (CT), positron emission tomography (PET), and magnetic resonance imaging (MRI) has a crucial role in detecting, diagnosing, and staging this disease. Additionally, imaging plays an important role in assessing patient response to therapy as well as surveilling potential tumor recurrence after treatment.

Although there has been significant progress towards improving early detection, staging, and treatment strategies for NSCLC, more can be learned to optimise imaging interventions as well as establish emerging approaches, such as radiogenomics, to improve the management of lung cancer. Thus, this Research Topic aims to shed light on the latest imaging advances in NSCLC and welcomes articles related, but not limited to:

1. Classification of histological subtypes of NSCLC
2. Prediction of EGFR mutation status in NSCLC
3. Radiological staging in NSCLC
4. Use of machine learning and artificial intelligence in diagnosis and treatment monitoring of NSCLC

Manuscripts consisting solely of bioinformatics, computational analysis, or predictions of public databases which are not accompanied by validation (independent cohort or biological validation in vitro or in vivo) will not be accepted in Frontiers in Oncology.

Non-Small Cell Lung Cancer (NSCLC) accounts for around 80% to 85% of all lung cancer cases, and is the leading cause of cancer death worldwide. Imaging such as computed tomography (CT), positron emission tomography (PET), and magnetic resonance imaging (MRI) has a crucial role in detecting, diagnosing, and staging this disease. Additionally, imaging plays an important role in assessing patient response to therapy as well as surveilling potential tumor recurrence after treatment.

Although there has been significant progress towards improving early detection, staging, and treatment strategies for NSCLC, more can be learned to optimise imaging interventions as well as establish emerging approaches, such as radiogenomics, to improve the management of lung cancer. Thus, this Research Topic aims to shed light on the latest imaging advances in NSCLC and welcomes articles related, but not limited to:

1. Classification of histological subtypes of NSCLC
2. Prediction of EGFR mutation status in NSCLC
3. Radiological staging in NSCLC
4. Use of machine learning and artificial intelligence in diagnosis and treatment monitoring of NSCLC

Manuscripts consisting solely of bioinformatics, computational analysis, or predictions of public databases which are not accompanied by validation (independent cohort or biological validation in vitro or in vivo) will not be accepted in Frontiers in Oncology.

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Editors

School of Medicine, University of Louisville

Georgios S. Limouris

School of Health Sciences, National and Kapodistrian University of Athens

Impact

73,157 Total views

47,608 Article views

24,537 Article downloads

1,012 Topic views

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Frontiers in Oncology

Cancer Imaging and Image-directed Interventions

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