Results 131 to 140 of about 42,977 (292)
This study developed a two‐stage model using radiomics‐based multiparametric MRI and clinical indicators to help identify and grade clinically significant prostate cancer. The model showed promising levels of diagnostic accuracy and predictive performance.
Yuyan Zou +10 more
wiley +1 more source
ABSTRACT Background The peritoneum is the third most prevalent location for metastases of colorectal cancer. In patients with resectable disease, cytoreductive surgery combined with hyperthermic intraperitoneal chemotherapy (CRS‐HIPEC) is the preferred treatment in the Netherlands, achieving median overall survival (OS) of 36–42 months. However, during
Teun van den Heuvel +6 more
wiley +1 more source
Management of Satellite Lesions in Hepatocellular Carcinoma: An Updated Review
ABSTRACT Satellite lesions, defined as microscopic or small macroscopic tumor nodules within 2 cm of a primary hepatocellular carcinoma (HCC), represent early intrahepatic dissemination and are strongly associated with aggressive tumor biology.
Andy Tran +4 more
wiley +1 more source
Predicting the histological grade of hepatocellular carcinoma based on dynamic radiomics
Background: Radiomics studies for preoperative prediction of histological grade of hepatocellular carcinoma (HCC) have primarily concentrated on static features, thereby overlooking the dynamic changes in radiomics features across different phases ...
Rui Zhang +9 more
doaj +1 more source
ABSTRACT This study developed a non‐invasive model using PIVKA‐II and MRI features to predict microvascular invasion in hepatocellular carcinoma, providing a reliable tool for early risk assessment and personalized treatment planning. The study included 98 patients with pathologically confirmed HCC (Child‐Pugh A, BCLC stage A), comprising 43 MVI ...
Di Gao, Rui‐Qi Jin, Hong‐Wei Wang
wiley +1 more source
CT radiomics and PET radiomics: ready for clinical implementation?
INTRODUCTION: Today, rapid technical and clinical developments result in an increasing number of treatment options for oncological diseases. Thus, decision support systems are needed to offer the right treatment to the right patient.
Huellner, Martin W; https://orcid.org/ +7 more
core +1 more source
ABSTRACT Response to neoadjuvant chemoradiotherapy (NACRT) in locally advanced colorectal cancer (CRC) varies widely, and accurately identifying poor responders is crucial for guiding timely treatment modification. This study aimed to develop an integrated predictive model combining radiomics derived from routine radiotherapy non‐contrast planning ...
Sin‐Hua Moi +6 more
wiley +1 more source
Evaluation of Systemic Inflammatory Markers in Predicting Malignancy in Parotid Gland Tumors
Preoperative systemic inflammatory indices may assist in distinguishing benign from malignant parotid tumors. In this cohort of 259 patients undergoing parotidectomy, malignant tumors were associated with higher neutrophil‐to‐lymphocyte ratio (NLR) and platelet‐to‐lymphocyte ratio (PLR) values, as well as larger tumor size and older age.
Ozcelik Erdem Rukiye +3 more
wiley +1 more source
Tumor Synthesis Conditioned on Radiomics
Due to privacy concerns, obtaining large datasets is challenging in medical image analysis, especially with 3D modalities like Computed Tomography (CT) and Magnetic Resonance Imaging (MRI). Existing generative models, developed to address this issue, often face limitations in output diversity and thus cannot accurately represent 3D medical images.
Jonghun Kim +3 more
openaire +2 more sources
Abstract Background Differentiating progressive supranuclear palsy (PSP) from Parkinson's disease (PD) can be clinically challenging. In the neuroimaging field, radiomics has emerged as a promising approach to capture subtle microstructural and textural image alterations, improving differential diagnoses.
Chiara Camastra +8 more
wiley +1 more source

