Call for papers - Radiomics approaches to lung cancers

Guest Editor

Kim Lori Sandler, MD, Vanderbilt University Medical Center, US

Submission Status: Open | Submission Deadline: 31 July 2024

BMC Pulmonary Medicine is calling for submissions to our Collection on Radiomics approaches to lung cancers. Lung cancer remains a significant global health challenge, necessitating continuous advancements in diagnostic and therapeutic strategies. Radiomics, an emerging field at the nexus of imaging and data science, holds immense promise in revolutionizing our understanding and management of lung cancers. By extracting a wealth of quantitative features from medical images, radiomics empowers clinicians to decipher these images, offering unprecedented insights into tumor characteristics and behavior.

New Content Item This Collection supports and amplifies research related to SDG 3: Good Health & Wellbeing.

Submit to Collection

Meet the Guest Editors

Back to top

Kim Lori Sandler, MD, Vanderbilt University Medical Center, US

Dr Kim Sandler completed her undergraduate education at Emory University and both medical school and residency at Vanderbilt University. She trained as a cardiothoracic radiologist and is currently an Associate Professor of Radiology and Radiological Sciences at Vanderbilt University Medical Center. Dr Sandler is a clinician-scientist and has served as the Co-Director of the Vanderbilt Lung Screening Program since 2016. She is a women’s health advocate who is working to leverage the success of screening for breast cancer to improve enrollment of women in lung screening. In addition to women’s health, Dr Sandler continues to focus her academic efforts on improving lung screening through machine learning and both imaging and blood-based biomarkers.

About the Collection

BMC Pulmonary Medicine is calling for submissions to our Collection on Radiomics approaches to lung cancers. Lung cancer remains a significant global health challenge, necessitating continuous advancements in diagnostic and therapeutic strategies. Radiomics, an emerging field at the nexus of imaging and data science, holds immense promise in revolutionizing our understanding and management of lung cancers. By extracting a wealth of quantitative features from medical images, radiomics empowers clinicians to decipher these images, offering unprecedented insights into tumor characteristics and behavior.

In support of SDG 3: Good Health & Wellbeing, this Collection aims to explore the dynamic intersection of radiomics and oncology, shedding light on the potential of cutting-edge imaging techniques in the diagnosis, prognosis, and treatment of lung cancers.

Topics of interest include, but are not limited to, the following:
• Quantitative Imaging in Lung Cancer
• Radiomic Biomarkers for Prognosis
• Advanced Radiology Techniques in Lung Cancer
• Machine Learning in Radiomics
• Tumor Heterogeneity and Radiomics
• Radiomics for Treatment Response Assessment
• Integrating Radiomics into Clinical Practice
• Molecular Correlates in Radiogenomics
• PET-CT Applications in Lung Cancer Radiomics
•MRI and Radiomics in Lung Cancer Characterization

Image credit: [M] RAJCREATIONZS / stock.adobe.com

There are currently no articles in this collection.

Submission Guidelines

Back to top

This Collection welcomes submission of original Research Articles. Should you wish to submit a different article type, please read our submission guidelines to confirm that type is accepted by the journal. Articles for this Collection should be submitted via our submission system, Snapp. During the submission process you will be asked whether you are submitting to a Collection, please select "Radiomics approaches to lung cancers" from the dropdown menu.

Articles will undergo the journal’s standard peer-review process and are subject to all of the journal’s standard policies. Articles will be added to the Collection as they are published.

The Editors have no competing interests with the submissions which they handle through the peer review process. The peer review of any submissions for which the Editors have competing interests is handled by another Editorial Board Member who has no competing interests.