Results 51 to 60 of about 71,655 (241)
Quality of Radiomic Features in Glioblastoma Multiforme: Impact of Semi-Automated Tumor Segmentation Software. [PDF]
, 2017 ObjectiveThe purpose of this study was to evaluate the reliability and quality of radiomic features in glioblastoma multiforme (GBM) derived from tumor volumes obtained with semi-automated tumor segmentation software.Materials and methodsMR images of 45 ...
Jamshidi, Neema +4 more
core +1 more source
Radiomics in Lung Cancer from Basic to Advanced: Current Status and Future Directions [PDF]
, 2020 Copyright © 2020 The Korean Society of Radiology.Ideally, radiomics features and radiomics signatures can be used as imaging biomarkers for diagnosis, staging, prognosis, and prediction of tumor response.
Bak S.H., Hyunjin Park, Lee G., Lee H.Y.
core +1 more source
Cancers, 2023 Simple Summary Accurate and early selection of patients with advanced non-small-cell lung cancer (NSCLC) who would benefit from immunotherapy is of the utmost clinical importance.
F. Cousin +13 more
semanticscholar +1 more source
Scientific Reports, 2023 The purpose of this study was to differentiate the retroperitoneal paragangliomas and schwannomas using computed tomography (CT) radiomics. This study included 112 patients from two centers who pathologically confirmed retroperitoneal pheochromocytomas ...
Yuntai Cao +6 more
doaj +1 more source
Deep learning based identification of bone scintigraphies containing metastatic bone disease foci
Cancer Imaging, 2023 Purpose Metastatic bone disease (MBD) is the most common form of metastases, most frequently deriving from prostate cancer. MBD is screened with bone scintigraphy (BS), which have high sensitivity but low specificity for the diagnosis of MBD, often ...
Abdalla Ibrahim +18 more
doaj +1 more source
Highly accurate model for prediction of lung nodule malignancy with CT scans [PDF]
, 2018 Computed tomography (CT) examinations are commonly used to predict lung nodule malignancy in patients, which are shown to improve noninvasive early diagnosis of lung cancer.
Causey, Jason L. +8 more
core +3 more sources
Classification of anatomic structures in head and neck by CT-based radiomics [PDF]
arXiv, 2022 Background and Purpose: Radiomics features are used to identify disease types and predict therapy outcomes. However, how the radiomics features are different among different anatomical structures has never been investigated. Hence, we analyzed the radiomics features of 22 anatomical structures in the head and neck area in CT images.
arxiv
Radiomics in colorectal cancer patients
World Journal of Gastroenterology, 2023 The main therapeutic options for colorectal cancer are surgical resection and adjuvant chemotherapy in non-metastatic disease. However, the evaluation of the overall adjuvant chemotherapy benefit in patients with a high risk of recurrence is challenging.
Riccardo Inchingolo +11 more
semanticscholar +1 more source
Insights into Imaging, 2023 Objective To develop and validate a multiphase CT-based radiomics model for preoperative risk stratification of patients with localized clear cell renal cell carcinoma (ccRCC).
Huayun Liu +8 more
doaj +1 more source
Frontiers in Oncology, 2022 ObjectiveTo develop and evaluate the performance of a magnetic resonance imaging (MRI)-based radiomics nomogram for prediction of response of patients with muscle-invasive bladder cancer (MIBC) to neoadjuvant chemotherapy (NAC).MethodsA total of 70 ...
Xinxin Zhang +5 more
doaj +1 more source