The current and upcoming era of radiomics in phaeochromocytoma and paraganglioma
Z Tüdös, L Veverková, J Baxa, I Hartmann… - Best Practice & Research …, 2024 - Elsevier
The topic of the diagnosis of phaeochromocytomas remains highly relevant because of
advances in laboratory diagnostics, genetics, and therapeutic options and also the …
advances in laboratory diagnostics, genetics, and therapeutic options and also the …
ChatGPT as an effective tool for quality evaluation of radiomics research
I Mese, B Kocak - European Radiology, 2024 - Springer
Objectives This study aimed to evaluate the effectiveness of ChatGPT-4o in assessing the
methodological quality of radiomics research using the radiomics quality score (RQS) …
methodological quality of radiomics research using the radiomics quality score (RQS) …
Quantitative imaging biomarkers in the assessment of adrenal nodules
M Yalon, PJ Navin - Abdominal Radiology, 2024 - Springer
Incidental adrenal nodules provide a diagnostic conundrum. Current imaging techniques
have demonstrated success in identifying lipid-rich adenomas, however, are limited in …
have demonstrated success in identifying lipid-rich adenomas, however, are limited in …
Patient classification and attribute assessment based on machine learning techniques in the qualification process for surgical treatment of adrenal tumours
M Wielogórska-Partyka, M Adamski, K Siewko… - Scientific Reports, 2024 - nature.com
Adrenal gland incidentaloma is frequently identified through computed tomography and
poses a common clinical challenge. Only selected cases require surgical intervention. The …
poses a common clinical challenge. Only selected cases require surgical intervention. The …
Differentiating adrenal metastases from benign lesions with multiphase CT imaging: Deep learning could play an active role in assisting radiologists
C Ma, B Feng, F Lin, Y Lei, K Xu, J Cui, Y Liu… - European Journal of …, 2023 - Elsevier
Objectives To develop and externally validate multiphase CT-based deep learning (DL)
models for differentiating adrenal metastases from benign lesions. Materials and methods …
models for differentiating adrenal metastases from benign lesions. Materials and methods …
[HTML][HTML] Adrenal indeterminate nodules: CT-based radiomics analysis of different machine learning models for predicting adrenal metastases in lung cancer patients
L Cao, H Yang, H Wu, H Zhong, H Cai… - Frontiers in …, 2024 - pmc.ncbi.nlm.nih.gov
Objective There is a paucity of research using different machine learning algorithms for
distinguishing between adrenal metastases and benign tumors in lung cancer patients with …
distinguishing between adrenal metastases and benign tumors in lung cancer patients with …
Machine learning for differentiation of lipid-poor adrenal adenoma and subclinical pheochromocytoma based on multiphase CT imaging radiomics
D **ao, J Zhong, J Peng, C Fan, X Wang, X Wen… - BMC Medical …, 2023 - Springer
Background There is a paucity of research investigating the application of machine learning
techniques for distinguishing between lipid-poor adrenal adenoma (LPA) and subclinical …
techniques for distinguishing between lipid-poor adrenal adenoma (LPA) and subclinical …
Combined Nomogram for Differentiating Adrenal Pheochromocytoma from Large-Diameter Lipid-poor Adenoma Using Multiphase CT Radiomics and clinico …
Z Shan, X Zhang, Y Zhang, S Wang, J Yang, J Wang… - 2024 - researchsquare.com
Methods A retrospective analysis was conducted on 202 patients with pathologically
confirmed adrenal PHEO and large-diameter LP-AA from three tertiary care centers. Key …
confirmed adrenal PHEO and large-diameter LP-AA from three tertiary care centers. Key …