Pancreatic cancer remains to be one of the leading causes of global mortality with a poor prognosis and survival rate. There are subtypes of pancreatic cancer with Pancreatic Ductal Adenocarcinoma (PDCA) which is commonly the most aggressive malignant neoplasm and is responsible for 80-90% of all pancreatic cases. Other forms of pancreatic cancer include pancreatic leiomyosarcoma (PL), a malignant neoplasm which is less commonly found with a poor prognosis. Pancreatic cancer patients typically do not exhibit symptoms until the disease has reached an advanced stage as well as due to the lack of diagnostic and therapeutic methods which has led to a very poor prognosis.
There have been recent studies using various imaging techniques to help the diagnosis of pancreatic cancer with the aims of improving prognosis, outcome and increasing the survival rate of patients. One of the most common imaging techniques is F-fluorodeoxyglucose-positron emission tomography/computed tomography (FDG-PET/CT) which is currently known as a potential prognostic detector in PDAC. This technique is used to assess FDG uptake as if this is high, it suggests malignant properties which may be present in tumors. FDG-PET/CT could be used in combination with radiotherapy and chemotherapy to assess early diagnosis. Other imaging techniques rely on the molecular mechanisms of PDAC, for example, integrins which as cell surface proteins which mediate cell-cell and cell-extracellular matrix (ECM) adhesion were found to be influenced in various cancers. In PDAC, integrin avß6 overexpression was found amongst all samples and therefore serves as a potential prognostic and therapeutic marker.
This Research Topic aims to explore various methods to identify pancreatic cancer for early stage detection with the aims to improve prognosis and overall survival outcome. Topics of interest include:
-Radiomics in pancreatic cancer
-Diffusion weighted imaging
-Radiology imaging of pancreatic cancers and sub-types
-Computed Tomography as a diagnostic tool for pancreatic cancer
-SPECT/Computed Tomography imaging
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.
Pancreatic cancer remains to be one of the leading causes of global mortality with a poor prognosis and survival rate. There are subtypes of pancreatic cancer with Pancreatic Ductal Adenocarcinoma (PDCA) which is commonly the most aggressive malignant neoplasm and is responsible for 80-90% of all pancreatic cases. Other forms of pancreatic cancer include pancreatic leiomyosarcoma (PL), a malignant neoplasm which is less commonly found with a poor prognosis. Pancreatic cancer patients typically do not exhibit symptoms until the disease has reached an advanced stage as well as due to the lack of diagnostic and therapeutic methods which has led to a very poor prognosis.
There have been recent studies using various imaging techniques to help the diagnosis of pancreatic cancer with the aims of improving prognosis, outcome and increasing the survival rate of patients. One of the most common imaging techniques is F-fluorodeoxyglucose-positron emission tomography/computed tomography (FDG-PET/CT) which is currently known as a potential prognostic detector in PDAC. This technique is used to assess FDG uptake as if this is high, it suggests malignant properties which may be present in tumors. FDG-PET/CT could be used in combination with radiotherapy and chemotherapy to assess early diagnosis. Other imaging techniques rely on the molecular mechanisms of PDAC, for example, integrins which as cell surface proteins which mediate cell-cell and cell-extracellular matrix (ECM) adhesion were found to be influenced in various cancers. In PDAC, integrin avß6 overexpression was found amongst all samples and therefore serves as a potential prognostic and therapeutic marker.
This Research Topic aims to explore various methods to identify pancreatic cancer for early stage detection with the aims to improve prognosis and overall survival outcome. Topics of interest include:
-Radiomics in pancreatic cancer
-Diffusion weighted imaging
-Radiology imaging of pancreatic cancers and sub-types
-Computed Tomography as a diagnostic tool for pancreatic cancer
-SPECT/Computed Tomography imaging
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.