Using quantitative imaging for personalized medicine in pancreatic cancer: a review of radiomics and deep learning applications
Simple Summary With a five-year survival rate of only 3% for the majority of patients,
pancreatic cancer is a global healthcare challenge. Radiomics and deep learning, two novel …
pancreatic cancer is a global healthcare challenge. Radiomics and deep learning, two novel …
Role of machine learning in precision oncology: applications in gastrointestinal cancers
Simple Summary Worldwide gastrointestinal (GI) malignancies account for about 25% of the
global cancer incidence. For some malignancies, screening programs, such as routine colon …
global cancer incidence. For some malignancies, screening programs, such as routine colon …
A novel online calculator to predict risk of microvascular invasion in the preoperative setting for hepatocellular carcinoma patients undergoing curative-intent surgery
Background The presence of microvascular invasion (MVI) has been highlighted as an
important determinant of hepatocellular carcinoma (HCC) prognosis. We sought to build and …
important determinant of hepatocellular carcinoma (HCC) prognosis. We sought to build and …
From Machine Learning to Patient Outcomes: A Comprehensive Review of AI in Pancreatic Cancer
Pancreatic cancer is a highly aggressive and difficult-to-detect cancer with a poor prognosis.
Late diagnosis is common due to a lack of early symptoms, specific markers, and the …
Late diagnosis is common due to a lack of early symptoms, specific markers, and the …
Radiomics in the diagnosis and treatment of hepatocellular carcinoma
C Jiang, YQ Cai, JJ Yang, CY Ma, JX Chen… - … & Pancreatic Diseases …, 2023 - Elsevier
Hepatocellular carcinoma (HCC) is a common malignant tumor. At present, early diagnosis
of HCC is difficult and therapeutic methods are limited. Radiomics can achieve accurate …
of HCC is difficult and therapeutic methods are limited. Radiomics can achieve accurate …
Bounding box-based 3D AI model for user-guided volumetric segmentation of pancreatic ductal adenocarcinoma on standard-of-care CTs
Objectives To develop a bounding-box-based 3D convolutional neural network (CNN) for
user-guided volumetric pancreas ductal adenocarcinoma (PDA) segmentation. Methods …
user-guided volumetric pancreas ductal adenocarcinoma (PDA) segmentation. Methods …
Preoperative extrapancreatic extension prediction in patients with pancreatic cancer using multiparameter MRI and machine learning-based radiomics model
N **e, X Fan, H **e, J Lu, L Yu, H Liu, H Wang, X Yin… - Academic …, 2023 - Elsevier
Rationale and Objectives Pancreatic cancer is a common malignant tumor with a dismal
prognosis. Preoperative differentiation of extrapancreatic extension (EPE) based on …
prognosis. Preoperative differentiation of extrapancreatic extension (EPE) based on …
Brain metastases from NSCLC treated with stereotactic radiotherapy: Prediction mismatch between two different radiomic platforms
Background and purpose Radiomics enables the mining of quantitative features from
medical images. The influence of the radiomic feature extraction software on the final …
medical images. The influence of the radiomic feature extraction software on the final …
Assessment of variabilities in lung-contouring methods on CBCT preclinical radiomics outputs
KH Brown, J Illyuk, M Ghita, GM Walls, CK McGarry… - Cancers, 2023 - mdpi.com
Simple Summary This study is the first to evaluate the impact of contouring differences on
radiomics analysis in preclinical CBCT scans. We found that the variation in quantitative …
radiomics analysis in preclinical CBCT scans. We found that the variation in quantitative …
Pancreatic Ductal Adenocarcinoma: Update of CT-Based Radiomics Applications in the Pre-Surgical Prediction of the Risk of Post-Operative Fistula, Resectability …
G Pacella, MC Brunese, E D'Imperio… - Journal of Clinical …, 2023 - mdpi.com
Background: Pancreatic ductal adenocarcinoma (PDAC) is the seventh leading cause of
cancer-related deaths worldwide. Surgical resection is the main driver to improving survival …
cancer-related deaths worldwide. Surgical resection is the main driver to improving survival …