Cargando…

A Preliminary Study for Distinguish Hormone-Secreting Functional Adrenocortical Adenoma Subtypes Using Multiparametric CT Radiomics-Based Machine Learning Model and Nomogram

Purpose: To explore the application value of multiparametric computed tomography (CT) radiomics in non-invasive differentiation between aldosterone-producing and cortisol-producing functional adrenocortical adenomas. Methods: This retrospective review analyzed 83 patients including 41 patients with...

Descripción completa

Detalles Bibliográficos
Autores principales:	Zheng, Yineng, Liu, Xin, Zhong, Yi, Lv, Fajin, Yang, Haitao
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Frontiers Media S.A. 2020
Materias:	Oncology
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7552922/ https://www.ncbi.nlm.nih.gov/pubmed/33117700 http://dx.doi.org/10.3389/fonc.2020.570502

Ejemplares similares

Prediction of Clinical Outcome for High-Intensity Focused Ultrasound Ablation of Uterine Leiomyomas Using Multiparametric MRI Radiomics-Based Machine Leaning Model
por: Zheng, Yineng, et al.
Publicado: (2021)

A CT-Based Radiomics Nomogram Integrated With Clinic-Radiological Features for Preoperatively Predicting WHO/ISUP Grade of Clear Cell Renal Cell Carcinoma
por: Xv, Yingjie, et al.
Publicado: (2021)

A CT-based radiomics nomogram for distinguishing between benign and malignant bone tumours
por: Sun, Weikai, et al.
Publicado: (2021)

Usefulness of the Texture Signatures Based on Multiparametric MRI in Predicting Growth Hormone Pituitary Adenoma Subtypes
por: Liu, Chen-Xi, et al.
Publicado: (2021)

Radiomics: a new tool to differentiate adrenocortical adenoma from carcinoma
por: Torresan, F, et al.
Publicado: (2021)

Using CT radiomic features based on machine learning models to subtype adrenal adenoma
por: Qi, Shouliang, et al.
Publicado: (2023)

CT-based radiomics nomogram for differentiation of adrenal hyperplasia from lipid-poor adenoma: an exploratory study
por: Yuan, Hongtao, et al.
Publicado: (2023)

Multiparametric radiomics nomogram may be used for predicting the severity of esophageal varices in cirrhotic patients
por: Wan, Shang, et al.
Publicado: (2020)

Machine learning-based CT radiomics approach for predicting WHO/ISUP nuclear grade of clear cell renal cell carcinoma: an exploratory and comparative study
por: Xv, Yingjie, et al.
Publicado: (2021)

Primary amenorrhoea & virilization induced by pure testosterone-secreting adrenocortical adenoma
por: Sailo, Stephen Lalfakzuala, et al.
Publicado: (2020)

Multiparametric magnetic resonance imaging-based radiomics nomogram for predicting tumor grade in endometrial cancer
por: Yue, Xiaoning, et al.
Publicado: (2023)

Machine Learning-Based Analysis of MR Multiparametric Radiomics for the Subtype Classification of Breast Cancer
por: Xie, Tianwen, et al.
Publicado: (2019)

May hemocytometer parameters be a biomarker in distinguishing between adrenal adenomas and carcinomas and in prognosis of adrenocortical carcinomas?
por: Sisman, Pinar, et al.
Publicado: (2020)

Non-Invasive Assessment of Breast Cancer Molecular Subtypes with Multiparametric Magnetic Resonance Imaging Radiomics
por: Leithner, Doris, et al.
Publicado: (2020)

Physiology of Adrenocortical Secretion. Frontiers of Hormone Research. Volume 11
por: Krystal, John Harrison
Publicado: (1984)

Metastatic Adrenocortical Carcinoma Co-Secreting Multiple Steroid Hormones
por: Lee, Tien-Hao, et al.
Publicado: (2021)

A Radiomics Nomogram for Distinguishing Benign From Malignant Round-Like Breast Tumors
por: Wang, Lanyun, et al.
Publicado: (2022)

An Ultrasonic-Based Radiomics Nomogram for Distinguishing Between Benign and Malignant Solid Renal Masses
por: Li, Chunxiang, et al.
Publicado: (2022)

Potential of the Non-Contrast-Enhanced Chest CT Radiomics to Distinguish Molecular Subtypes of Breast Cancer: A Retrospective Study
por: Wang, Fei, et al.
Publicado: (2022)

Stratifying nonfunctional pituitary adenomas into two groups distinguished by macrophage subtypes
por: Yagnik, Garima, et al.
Publicado: (2019)

Development of a Novel Multiparametric MRI Radiomic Nomogram for Preoperative Evaluation of Early Recurrence in Resectable Pancreatic Cancer
por: Tang, Tian‐Yu, et al.
Publicado: (2019)

A Nomogram Based on a Multiparametric Ultrasound Radiomics Model for Discrimination Between Malignant and Benign Prostate Lesions
por: Liang, Lei, et al.
Publicado: (2021)

A Multiparametric MRI-Based Radiomics Nomogram for Preoperative Prediction of Survival Stratification in Glioblastoma Patients With Standard Treatment
por: Jia, Xin, et al.
Publicado: (2022)

Preoperative Prediction of Perineural Invasion Status of Rectal Cancer Based on Radiomics Nomogram of Multiparametric Magnetic Resonance Imaging
por: Zhang, Yang, et al.
Publicado: (2022)

Development and validation of a radiomic nomogram based on pretherapy dual-energy CT for distinguishing adenocarcinoma from squamous cell carcinoma of the lung
por: Chen, Zhiyong, et al.
Publicado: (2022)

Multiparametric radiomic tissue signature and machine learning for distinguishing radiation necrosis from tumor progression after stereotactic radiosurgery
por: Chen, Xuguang, et al.
Publicado: (2021)

Nomogram Models for Distinguishing Intraductal Carcinoma of the Prostate From Prostatic Acinar Adenocarcinoma Based on Multiparametric Magnetic Resonance Imaging
por: Yang, Ling, et al.
Publicado: (2023)

Radiomics and Qualitative Features From Multiparametric MRI Predict Molecular Subtypes in Patients With Lower-Grade Glioma
por: Sun, Chen, et al.
Publicado: (2022)

Corrigendum: An ultrasonic-based radiomics nomogram for distinguishing between benign and malignant solid renal masses
por: Li, Chunxiang, et al.
Publicado: (2023)

Correction: Stratifying nonfunctional pituitary adenomas into two groups distinguished by macrophage subtypes
por: Yagnik, Garima, et al.
Publicado: (2019)

Repeatability of Multiparametric Prostate MRI Radiomics Features
por: Schwier, Michael, et al.
Publicado: (2019)

A CT-based radiomics nomogram for predicting prognosis of coronavirus disease 2019 (COVID-19) radiomics nomogram predicting COVID-19
por: Chen, Hang, et al.
Publicado: (2021)

A Follicular Stimulating Hormone Secreting Adenoma
por: De Croos, Mary, et al.
Publicado: (2021)

Retroperitoneal Bronchogenic Cyst Adjacent to Adrenocortical Adenoma
por: Toi, Norikazu, et al.
Publicado: (2022)

CT-based radiomic nomogram for predicting the severity of patients with COVID-19
por: Shi, Hengfeng, et al.
Publicado: (2022)

Radiomics Nomogram Based on High-b-Value Diffusion-Weighted Imaging for Distinguishing the Grade of Bladder Cancer
por: Feng, Cui, et al.
Publicado: (2022)

Preoperative Nomogram for Differentiation of Histological Subtypes in Ovarian Cancer Based on Computer Tomography Radiomics
por: Zhu, Haiyan, et al.
Publicado: (2021)

A Clinical-Radiomic Nomogram Based on Unenhanced Computed Tomography for Predicting the Risk of Aldosterone-Producing Adenoma
por: He, Keng, et al.
Publicado: (2021)

Estrogen-secreting adrenocortical carcinoma
por: Jeong, You, et al.
Publicado: (2018)

COVID-19 pneumonia: CT findings of 122 patients and differentiation from influenza pneumonia
por: Liu, Mengqi, et al.
Publicado: (2020)

Cannot write session to /tmp/vufind_sessions/sess_m82sehfo4qskjpaiptlgf0osf8