[PDF][PDF] Diagnostic protocols in oncology: Workup and treatment planning. Part 2: Abbreviated MR protocol
Magnetic resonance imaging (MRI) is a non-invasive imaging technique (non-ionizing
radiation) with superior soft tissue contrasts and potential morphological and functional …
radiation) with superior soft tissue contrasts and potential morphological and functional …
Risk assessment and pancreatic cancer: Diagnostic management and artificial intelligence
Simple Summary Pancreatic cancer (PC) is one of the deadliest cancers. Its high mortality
rate is correlated with several explanations; the main one is the late disease stage at which …
rate is correlated with several explanations; the main one is the late disease stage at which …
Radiomics and machine learning analysis based on magnetic resonance imaging in the assessment of liver mucinous colorectal metastases
Purpose The purpose of this study is to evaluate the Radiomics and Machine Learning
Analysis based on MRI in the assessment of Liver Mucinous Colorectal Metastases. Query …
Analysis based on MRI in the assessment of Liver Mucinous Colorectal Metastases. Query …
Validation of the standardized index of shape tool to analyze DCE-MRI data in the assessment of neo-adjuvant therapy in locally advanced rectal cancer
Purpose Standardized index of shape (SIS) tool validation to examine dynamic contrast
enhanced–magnetic resonance imaging (DCE-MRI) in preoperative chemo-radiation …
enhanced–magnetic resonance imaging (DCE-MRI) in preoperative chemo-radiation …
Radiomics and machine learning analysis by computed tomography and magnetic resonance imaging in colorectal liver metastases prognostic assessment
Objective The aim of this study was the evaluation radiomics analysis efficacy performed
using computed tomography (CT) and magnetic resonance imaging in the prediction of …
using computed tomography (CT) and magnetic resonance imaging in the prediction of …
Radiomics and machine learning analysis based on magnetic resonance imaging in the assessment of colorectal liver metastases growth pattern
To assess Radiomics and Machine Learning Analysis in Liver Colon and Rectal Cancer
Metastases (CRLM) Growth Pattern, we evaluated, retrospectively, a training set of 51 …
Metastases (CRLM) Growth Pattern, we evaluated, retrospectively, a training set of 51 …
Machine learning approaches with textural features to calculate breast density on mammography
Background: breast cancer (BC) is the world's most prevalent cancer in the female
population, with 2.3 million new cases diagnosed worldwide in 2020. The great efforts made …
population, with 2.3 million new cases diagnosed worldwide in 2020. The great efforts made …
[HTML][HTML] MRI-based radiomic models outperform radiologists in predicting pathological complete response to neoadjuvant chemoradiotherapy in locally advanced …
L Wen, J Liu, P Hu, F Bi, S Liu, L Jian, S Zhu, S Nie… - Academic …, 2023 - Elsevier
Rationale and Objectives The 15%-27% of patients with locally advanced rectal cancer
(LARC) achieved pathologic complete response (pCR) to neoadjuvant chemoradiotherapy …
(LARC) achieved pathologic complete response (pCR) to neoadjuvant chemoradiotherapy …
Magnetic resonance features of liver mucinous colorectal metastases: what the radiologist should know
Purpose: The aim of this study is to assess MRI features of mucinous liver metastases
compared to non-mucinous metastases and hepatic hemangioma. Methods: A radiological …
compared to non-mucinous metastases and hepatic hemangioma. Methods: A radiological …
Introduction to special issue of radiology and imaging of cancer
The increase in knowledge in oncology and the possibility of creating personalized
medicine by selecting a more appropriate therapy related to the different tumor subtypes, as …
medicine by selecting a more appropriate therapy related to the different tumor subtypes, as …