Radiomics: a primer on high-throughput image phenotyping
Radiomics is a high-throughput approach to image phenotyping. It uses computer
algorithms to extract and analyze a large number of quantitative features from radiological …
algorithms to extract and analyze a large number of quantitative features from radiological …
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 …
Effective Treatment of SSTR2-Positive Small Cell Lung Cancer Using 211At-Containing Targeted α-Particle Therapy Agent Which Promotes Endogenous Antitumor …
S Qin, Y Yang, J Zhang, Y Yin, W Liu… - Molecular …, 2023 - ACS Publications
Small cell lung cancer (SCLC) is a neuroendocrine tumor with a high degree of malignancy.
Due to limited treatment options, patients with SCLC have a poor prognosis. We have found …
Due to limited treatment options, patients with SCLC have a poor prognosis. We have found …
68Ga-DOTATOC PET/MR imaging and radiomic parameters in predicting histopathological prognostic factors in patients with pancreatic neuroendocrine well …
P Mapelli, C Bezzi, D Palumbo, C Canevari… - European Journal of …, 2022 - Springer
Purpose To explore the role of fully hybrid 68Ga-DOTATOC PET/MR imaging and radiomic
parameters in predicting histopathological prognostic factors in patients with pancreatic …
parameters in predicting histopathological prognostic factors in patients with pancreatic …
Prediction of the characteristics of aggressiveness of pancreatic neuroendocrine neoplasms (PanNENs) based on CT radiomic features
M Mori, D Palumbo, F Muffatti, S Partelli, J Mushtaq… - European …, 2023 - Springer
Objectives To predict tumor grade (G1 vs. G2/3), presence of distant metastasis (M+),
metastatic lymph nodes (N+), and microvascular invasion (VI) of pancreatic neuroendocrine …
metastatic lymph nodes (N+), and microvascular invasion (VI) of pancreatic neuroendocrine …
Radiomics-Based Texture Analysis of 68Ga-DOTATATE Positron Emission Tomography and Computed Tomography Images as a Prognostic Biomarker in Adults With …
C Atkinson, B Ganeshan, R Endozo, S Wan… - Frontiers in …, 2021 - frontiersin.org
Purpose Neuroendocrine tumors (NET) are rare cancers with variable behavior. A better
understanding of prognosis would aid individualized management. The aim of this …
understanding of prognosis would aid individualized management. The aim of this …
A systematic review of radiomics in pancreatitis: applying the evidence level rating tool for promoting clinical transferability
J Zhong, Y Hu, Y Xing, X Ge, D Ding, H Zhang… - Insights into …, 2022 - Springer
Background Multiple tools have been applied to radiomics evaluation, while evidence rating
tools for this field are still lacking. This study aims to assess the quality of pancreatitis …
tools for this field are still lacking. This study aims to assess the quality of pancreatitis …
Role of [68Ga]Ga-PSMA-11 PET radiomics to predict post-surgical ISUP grade in primary prostate cancer
S Ghezzo, P Mapelli, C Bezzi… - European Journal of …, 2023 - Springer
Purpose The aim of this study is to investigate the role of [68Ga] Ga-PSMA-11 PET radiomics
for the prediction of post-surgical International Society of Urological Pathology (PSISUP) …
for the prediction of post-surgical International Society of Urological Pathology (PSISUP) …
Preoperative prediction of pancreatic neuroendocrine tumor grade based on 68Ga-DOTATATE PET/CT
J Ma, X Wang, M Tang, C Zhang - Endocrine, 2024 - Springer
Objective To establish a prediction model for preoperatively predicting grade 1 and grade
2/3 tumors in patients with pancreatic neuroendocrine tumors (PNETs) based on 68Ga …
2/3 tumors in patients with pancreatic neuroendocrine tumors (PNETs) based on 68Ga …
Overexpression of the lncRNA HOTAIRM1 promotes lenvatinib resistance by downregulating miR-34a and activating autophagy in hepatocellular carcinoma
D Gu, M Tong, J Wang, B Zhang, J Liu, G Song… - Discover Oncology, 2023 - Springer
Background Hepatocellular carcinoma (HCC) is one of the most common malignant cancers
in humans and has a high fatality rate. Despite pharmacological advances such as sorafenib …
in humans and has a high fatality rate. Despite pharmacological advances such as sorafenib …