Diagnostic accuracy of CT texture analysis in adrenal masses: a systematic review
Adrenal incidentalomas (AIs) are incidentally discovered adrenal neoplasms. Overt
endocrine secretion (glucocorticoids, mineralocorticoids, and catecholamines) and …
endocrine secretion (glucocorticoids, mineralocorticoids, and catecholamines) and …
Radiomics in cross-sectional adrenal imaging: A systematic review and quality assessment study
In this study, we aimed to systematically review the current literature on radiomics applied to
cross-sectional adrenal imaging and assess its methodological quality. Scopus, PubMed …
cross-sectional adrenal imaging and assess its methodological quality. Scopus, PubMed …
Radiomics in abdominopelvic solid-organ oncologic imaging: current status
Radiomics is the process of extraction of high-throughput quantitative imaging features from
medical images. These features represent noninvasive quantitative biomarkers that go …
medical images. These features represent noninvasive quantitative biomarkers that go …
Diagnostic performance of radiomics in adrenal masses: a systematic review and meta-analysis
H Zhang, H Lei, J Pang - Frontiers in Oncology, 2022 - frontiersin.org
Objectives (1) To assess the methodological quality and risk of bias of radiomics studies
investigating the diagnostic performance in adrenal masses and (2) to determine the …
investigating the diagnostic performance in adrenal masses and (2) to determine the …
CT texture analysis of adrenal pheochromocytomas: a pilot study
F Crimì, E Agostini, A Toniolo, F Torresan, M Iacobone… - Current …, 2023 - mdpi.com
Radiomics is a promising research field that combines big data analysis (from tissue texture
analysis) with clinical questions. We studied the application of CT texture analysis in adrenal …
analysis) with clinical questions. We studied the application of CT texture analysis in adrenal …
Two nomograms based on radiomics models using triphasic CT for differentiation of adrenal lipid-poor benign lesions and metastases in a cancer population: an …
G Wang, B Kang, J Cui, Y Deng, Y Zhao, C Ji… - European …, 2023 - Springer
Objectives To investigate the effectiveness of CT-based radiomics nomograms in
differentiating adrenal lipid-poor benign lesions and metastases in a cancer population …
differentiating adrenal lipid-poor benign lesions and metastases in a cancer population …
Machine learning-based texture analysis in the characterization of cortisol secreting vs. non-secreting adrenocortical Incidentalomas in CT scan
R Maggio, F Messina, B D'Arrigo… - Frontiers in …, 2022 - frontiersin.org
New radioimaging techniques, exploiting the quantitative variables of imaging, permit to
identify an hypothetical pathological tissue. We have applied this potential in a series of 72 …
identify an hypothetical pathological tissue. We have applied this potential in a series of 72 …
Determining a cutoff score for the family burden interview schedule using three statistical methods
Y Yu, ZW Liu, W Zhou, M Zhao, BW Tang… - BMC Medical Research …, 2019 - Springer
Background While it is widely acknowledged that family burden can be ameliorated with
effective psycho-social interventions, how to measure family burden and define a valid cutoff …
effective psycho-social interventions, how to measure family burden and define a valid cutoff …
Bayesian feature selection for radiomics using reliability metrics
Introduction: Imaging of tumors is a standard step in diagnosing cancer and making
subsequent treatment decisions. The field of radiomics aims to develop imaging based …
subsequent treatment decisions. The field of radiomics aims to develop imaging based …
[HTML][HTML] Hierarchical normalized completely random measures for robust graphical modeling
Gaussian graphical models are useful tools for exploring network structures in multivariate
normal data. In this paper we are interested in situations where data show departures from …
normal data. In this paper we are interested in situations where data show departures from …