The incidence and the specific types of biliary tract cancers vary widely across geographical locations. Most of these cancers are diagnosed at an advanced stage. The therapeutic options in advanced biliary tract cancers are limited. However, advancements in precision medicine and genetics offer promise. Targeted therapy, although naïve, at present is expected to have a significant impact on the outcomes of these patients in future. Imaging plays an important role in diagnosis and management of biliary tract cancers. Recent advances in imaging have further increased the role of imaging in biliary tract cancers.
Imaging plays an important role not only in diagnosis and staging of biliary tract cancers but also in prognostication. The utilization of signatures in imaging data (radiomics) to identify genetic subtypes (radiogenomics) is a promising area of research in radiology. The aim is to utilise imaging to harness the full potential of targeted therapy by non-invasive prediction of actionable gene mutations. Artificial intelligence is also being increasingly incorporated in radiology research and practice to use imaging data beyond diagnosis and staging. When combined with clinical data, artificial intelligence can aid in several complex issues related to diagnosis, prognosis, and therapeutics. Finally, image guided therapies have become integral to a comprehensive management of patients with resectable as well as non-resectable biliary tract cancers.
The goal of this Research Topic is to address the recent updates in imaging for early diagnosis of biliary tract cancer, and staging. We also wish to address the advances in imaging including the recent techniques in CT (dual energy/ spectral CT), and MRI (advances in diffusion and perfusion MRI), radiogenomics, and artificial intelligence. Finally, we want to address interventional radiology (image-guided therapeutics) in management of patients with biliary tract cancers. We welcome Original Research Articles and Review Articles.
Please note: manuscripts consisting solely of bioinformatics or computational analysis of public genomic or transcriptomic databases which are not accompanied by validation (independent cohort or biological validation in vitro or in vivo) are out of scope for this section and will not be accepted as part of this Research Topic.
The incidence and the specific types of biliary tract cancers vary widely across geographical locations. Most of these cancers are diagnosed at an advanced stage. The therapeutic options in advanced biliary tract cancers are limited. However, advancements in precision medicine and genetics offer promise. Targeted therapy, although naïve, at present is expected to have a significant impact on the outcomes of these patients in future. Imaging plays an important role in diagnosis and management of biliary tract cancers. Recent advances in imaging have further increased the role of imaging in biliary tract cancers.
Imaging plays an important role not only in diagnosis and staging of biliary tract cancers but also in prognostication. The utilization of signatures in imaging data (radiomics) to identify genetic subtypes (radiogenomics) is a promising area of research in radiology. The aim is to utilise imaging to harness the full potential of targeted therapy by non-invasive prediction of actionable gene mutations. Artificial intelligence is also being increasingly incorporated in radiology research and practice to use imaging data beyond diagnosis and staging. When combined with clinical data, artificial intelligence can aid in several complex issues related to diagnosis, prognosis, and therapeutics. Finally, image guided therapies have become integral to a comprehensive management of patients with resectable as well as non-resectable biliary tract cancers.
The goal of this Research Topic is to address the recent updates in imaging for early diagnosis of biliary tract cancer, and staging. We also wish to address the advances in imaging including the recent techniques in CT (dual energy/ spectral CT), and MRI (advances in diffusion and perfusion MRI), radiogenomics, and artificial intelligence. Finally, we want to address interventional radiology (image-guided therapeutics) in management of patients with biliary tract cancers. We welcome Original Research Articles and Review Articles.
Please note: manuscripts consisting solely of bioinformatics or computational analysis of public genomic or transcriptomic databases which are not accompanied by validation (independent cohort or biological validation in vitro or in vivo) are out of scope for this section and will not be accepted as part of this Research Topic.