Ultrasound-guided targeted biopsies of CT-based radiomic tumour habitats: technical development and initial experience in metastatic ovarian cancer
Sign Up to like & getrecommendations! Published in 2020 at "European Radiology"
DOI: 10.1007/s00330-020-07560-8
Abstract: To develop a precision tissue sampling technique that uses computed tomography (CT)–based radiomic tumour habitats for ultrasound (US)-guided targeted biopsies that can be integrated in the clinical workflow of patients with high-grade serous ovarian cancer… read more here.
Keywords: guided targeted; based radiomic; radiomic tumour; targeted biopsies ... See more keywords
MRI-based radiomic signature as predictive marker for patients with head and neck squamous cell carcinoma.
Sign Up to like & getrecommendations! Published in 2019 at "European journal of radiology"
DOI: 10.1016/j.ejrad.2019.06.019
Abstract: PURPOSE To develop magnetic resonance imaging (MRI)-based radiomic signature and nomogram for preoperatively predicting prognosis in head and neck squamous cell carcinoma (HNSCC) patients. METHOD This retrospective study consisted of a training cohort (n = 85) and… read more here.
Keywords: mri based; based radiomic; cohort; signature ... See more keywords
Reproducibility of CT-based radiomic features against image resampling and perturbations for tumour and healthy kidney in renal cancer patients
Sign Up to like & getrecommendations! Published in 2021 at "Scientific Reports"
DOI: 10.1038/s41598-021-90985-y
Abstract: Computed Tomography (CT) is widely used in oncology for morphological evaluation and diagnosis, commonly through visual assessments, often exploiting semi-automatic tools as well. Well-established automatic methods for quantitative imaging offer the opportunity to enrich the… read more here.
Keywords: features image; radiomic features; reproducibility based; reproducibility ... See more keywords
CT‐based radiomic features to predict pathological response in rectal cancer: A retrospective cohort study
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Medical Imaging and Radiation Oncology"
DOI: 10.1111/1754-9485.13044
Abstract: Innovative biomarkers to predict treatment response in rectal cancer would be helpful in optimizing personalized treatment approaches. In this study, we aimed to develop and validate a CT‐based radiomic imaging biomarker to predict pathological response. read more here.
Keywords: rectal cancer; response; predict pathological; based radiomic ... See more keywords
Computed Tomography-Based Radiomic Analysis for Preoperatively Predicting the Macrovesicular Steatosis Grade in Cadaveric Donor Liver Transplantation
Sign Up to like & getrecommendations! Published in 2022 at "BioMed Research International"
DOI: 10.1155/2022/2491023
Abstract: This study is aimed at determining the ability of computed tomography- (CT-) based radiomic analysis to distinguish between grade 0/1 and grade 2/3 macrovesicular steatosis (MaS) in cadaveric donor liver transplantation cases. Preoperative noncontrast-enhanced CT… read more here.
Keywords: liver; grade; analysis; model ... See more keywords
MR Imaging–Based Radiomic Signatures of Distinct Molecular Subgroups of Medulloblastoma
Sign Up to like & getrecommendations! Published in 2019 at "American Journal of Neuroradiology"
DOI: 10.3174/ajnr.a5899
Abstract: BACKGROUND AND PURPOSE: Distinct molecular subgroups of pediatric medulloblastoma confer important differences in prognosis and therapy. Currently, tissue sampling is the only method to obtain information for classification. Our goal was to develop and validate… read more here.
Keywords: distinct molecular; area; imaging based; based radiomic ... See more keywords
Multiparametric MRI and Machine Learning Based Radiomic Models for Preoperative Prediction of Multiple Biological Characteristics in Prostate Cancer
Sign Up to like & getrecommendations! Published in 2022 at "Frontiers in Oncology"
DOI: 10.3389/fonc.2022.839621
Abstract: Objectives This study aims to develop and evaluate multiparametric MRI (MP-MRI)-based radiomic models as a noninvasive diagnostic method to predict several biological characteristics of prostate cancer. Methods A total of 252 patients were retrospectively included… read more here.
Keywords: prostate cancer; multiparametric mri; mri; biological characteristics ... See more keywords
Integrating CT-based radiomic model with clinical features improves long-term prognostication in high-risk prostate cancer
Sign Up to like & getrecommendations! Published in 2023 at "Frontiers in Oncology"
DOI: 10.3389/fonc.2023.1060687
Abstract: Objective High-risk prostate cancer (PCa) is often treated by prostate-only radiotherapy (PORT) owing to its favourable toxicity profile compared to whole-pelvic radiotherapy. Unfortunately, more than 50% patients still developed disease progression following PORT. Conventional clinical… read more here.
Keywords: prostate; high risk; risk; model ... See more keywords