[HTML][HTML] Tracking tumor biology with radiomics: a systematic review utilizing a radiomics quality score
S Sanduleanu, HC Woodruff, EEC De Jong… - Radiotherapy and …, 2018 - Elsevier
Introduction: In this review we describe recent developments in the field of radiomics along
with current relevant literature linking it to tumor biology. We furthermore explore the …
with current relevant literature linking it to tumor biology. We furthermore explore the …
Malignant pleural mesothelioma: Genetic and microenviromental heterogeneity as an unexpected reading frame and therapeutic challenge
DM Abbott, C Bortolotto, S Benvenuti, A Lancia… - Cancers, 2020 - mdpi.com
Mesothelioma is a malignancy of serosal membranes including the peritoneum, pleura,
pericardium and the tunica vaginalis of the testes. Malignant mesothelioma (MM) is a rare …
pericardium and the tunica vaginalis of the testes. Malignant mesothelioma (MM) is a rare …
The complexity of tumor shape, spiculatedness, correlates with tumor radiomic shape features
Radiomics extracts high-throughput quantitative data from medical images to contribute to
precision medicine. Radiomic shape features have been shown to correlate with patient …
precision medicine. Radiomic shape features have been shown to correlate with patient …
MRI-based radiomic signature as predictive marker for patients with head and neck squamous cell carcinoma
Y Yuan, J Ren, Y Shi, X Tao - European Journal of Radiology, 2019 - Elsevier
Purpose To develop magnetic resonance imaging (MRI)-based radiomic signature and
nomogram for preoperatively predicting prognosis in head and neck squamous cell …
nomogram for preoperatively predicting prognosis in head and neck squamous cell …
FDG PET versus CT radiomics to predict outcome in malignant pleural mesothelioma patients
M Pavic, M Bogowicz, J Kraft, D Vuong, M Mayinger… - EJNMMI research, 2020 - Springer
Background Careful selection of malignant pleural mesothelioma (MPM) patients for curative
treatment is of highest importance, as the multimodal treatment regimen is challenging for …
treatment is of highest importance, as the multimodal treatment regimen is challenging for …
Computed tomography-based texture analysis of bladder cancer: differentiating urothelial carcinoma from micropapillary carcinoma
T Fan, H Malhi, B Varghese, S Cen, D Hwang… - Abdominal …, 2019 - Springer
Purpose The purpose of the study is to determine the feasibility of using computed
tomography-based texture analysis (CTTA) in differentiating between urothelial carcinomas …
tomography-based texture analysis (CTTA) in differentiating between urothelial carcinomas …
New updates of the imaging role in diagnosis, staging, and response treatment of malignant pleural mesothelioma
C Romei, SC Fanni, F Volpi, A Milazzo, CA D'Amore… - Cancers, 2021 - mdpi.com
Simple Summary Computed tomography plays a pivotal role in malignant pleural
mesothelioma imaging management, ranging from diagnosis, differential diagnosis and …
mesothelioma imaging management, ranging from diagnosis, differential diagnosis and …
Development of unenhanced CT-based imaging signature for BAP1 mutation status prediction in malignant pleural mesothelioma: Consideration of 2D and 3D …
XJ Xie, SY Liu, JY Chen, Y Zhao, J Jiang, L Wu… - Lung Cancer, 2021 - Elsevier
Objectives We aimed to explore the feasibility of 2D and 3D radiomics signature based on
the unenhanced computed tomography (CT) images to predict BRCA1-associated protein 1 …
the unenhanced computed tomography (CT) images to predict BRCA1-associated protein 1 …
Explorative investigation of whole-lesion histogram MRI metrics for differentiating uterine leiomyomas and leiomyosarcomas
L Gerges, D Popiolek… - American Journal of …, 2018 - Am Roentgen Ray Soc
OBJECTIVE. The purpose of this study is to assess the utility of texture analysis of multiple
MRI sequences for the differentiation of uterine leiomyomas and leiomyosarcomas …
MRI sequences for the differentiation of uterine leiomyomas and leiomyosarcomas …
[HTML][HTML] Automated detection, segmentation, and classification of pleural effusion from computed tomography scans using machine learning
R Sexauer, S Yang, T Weikert, J Poletti… - Investigative …, 2022 - journals.lww.com
Objective This study trained and evaluated algorithms to detect, segment, and classify
simple and complex pleural effusions on computed tomography (CT) scans. Materials and …
simple and complex pleural effusions on computed tomography (CT) scans. Materials and …