Radiomics capabilities in the interpretation of ultrasound and CT data in patients with chronic kidney disease: A review

Radiomics capabilities in the interpretation of ultrasound and CT data in patients with chronic kidney disease: A review

The purpose of this review is to explore the possibilities of radiomics in interpreting ultrasound and multislice spiral computed tomography data in patients with chronic kidney disease (CKD). Radiomics is a promising area of medical image analysis based on the extraction of quantitative features no...

Full description

Saved in:

Bibliographic Details
Main Authors:	Alexandra V. Proskura, Khalil M. Ismailov, Alexander G. Smoleevskiy, Amina I. Salpagarova, Irina N. Bobkova, Andrei M. Shestiuk
Format:	Article
Language:	Russian
Published:	"Consilium Medicum" Publishing house 2025-01-01
Series:	Терапевтический архив
Subjects:	radiomics chronic renal failure fibrosis artificial intelligence medical decision support system
Online Access:	https://ter-arkhiv.ru/0040-3660/article/viewFile/677562/202484
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Non-invasive liver fibrosis screening on CT images using radiomics
by: Jay J. Yoo, et al.
Published: (2025-07-01)

Radiomics for differential diagnosis of Bosniak II-IV renal masses via CT imaging
by: Xun Zhao, et al.
Published: (2024-12-01)

Contrast-Enhanced CT-Based Radiomics Nomogram for Prediction of Pathologic T3a Upstaging in Clinical T1 RCC
by: Di Yin, et al.
Published: (2025-02-01)

Prediction of metastatic risk of renal clear cell carcinoma based on CT radiomics analysis
by: Xueyi Wang, et al.
Published: (2025-06-01)

Radiomics-based machine learning role in differential diagnosis between small renal oncocytoma and clear cells carcinoma on contrast-enhanced CT: A pilot study
by: Roberto Francischello, et al.
Published: (2024-12-01)

Integrating CT radiomics and clinical features using machine learning to predict post-COVID pulmonary fibrosis
by: Qianqian Zhao, et al.
Published: (2025-07-01)

Integrating CT radiomics and clinical data with machine learning to predict fibrosis progression in coalworker pneumoconiosis
by: Xiaobing Li, et al.
Published: (2025-07-01)

A predictive model for WHO/ISUP pathologic grading of renal clear cell carcinoma based on CT radiomics: a multicenter study
by: Chunying Wu, et al.
Published: (2025-07-01)

A CT-based intratumoral and peritumoral radiomics nomogram for postoperative recurrence risk stratification in localized clear cell renal cell carcinoma
by: Xiaoxia Li, et al.
Published: (2025-05-01)

Development of an interpretable machine learning model based on CT radiomics for the prediction of post acute pancreatitis diabetes mellitus
by: Xiyao Wan, et al.
Published: (2025-01-01)

Radiomics analysis based on T2-weighed imaging and T2 mapping for staging endometrial fibrosis
by: Huanhuan Liang, et al.
Published: (2025-07-01)

Radiomic-enhanced multimodal ultrasound for early detection of acute kidney injury secondary to renal vein thrombosis: a preclinical diagnostic modeling study
by: Ziyi Xu, et al.
Published: (2025-12-01)

Prediction of acute pancreatitis severity based on early CT radiomics
by: Mingyao Qi, et al.
Published: (2024-11-01)

A clinical-radiomics nomogram based on automated segmentation of chest CT to discriminate PRISm and COPD patients
by: TaoHu Zhou, et al.
Published: (2024-12-01)

Integrated Hyperparameter Optimization with Dimensionality Reduction and Clustering for Radiomics: A Bootstrapped Approach
by: S. J. Pawan, et al.
Published: (2025-05-01)

CECT-Based Radiomic Nomogram of Different Machine Learning Models for Differentiating Malignant and Benign Solid-Containing Renal Masses
by: Qian L, et al.
Published: (2025-01-01)

A study on the repeatability of radiomics parameters under repeated CT scans
by: Yi-Zhi Zhao, et al.
Published: (2025-07-01)

Computed Tomography-Based Radiomics Diagnostic Model for Fat-Poor Small Renal Tumor Subtypes
by: Seokhwan Bang, et al.
Published: (2025-05-01)

Radiomic nomograms in CT diagnosis of gall bladder carcinoma: a narrative review
by: Nirupam Konwar Baishya, et al.
Published: (2024-12-01)

A radiomics-based interpretable model integrating delayed-phase CT and clinical features for predicting the pathological grade of appendiceal pseudomyxoma peritonei
by: Dong Bai, et al.
Published: (2025-07-01)

CT radiomics to assess severity of explosion-induced primary blast lung injury in goats
by: Bo Yang, et al.
Published: (2025-06-01)

Integrating CT-based radiomics and clinical features to better predict the prognosis of acute pancreatitis
by: Hang Chen, et al.
Published: (2025-01-01)

Prediction of bone oligometastases in breast cancer using models based on deep learning radiomics of PET/CT imaging
by: Guoxiu Lu, et al.
Published: (2025-08-01)

A study on the prediction of targeted therapy efficacy in advanced lung adenocarcinoma patients with EGFR mutations using CT-based delta-radiomics model
by: Zekai Wu, et al.
Published: (2025-05-01)

The Role of Artificial Intelligence and Radiomics in the Management of Lymphomas by PET/CT: The Clairvoyance in Clinic
by: Duan CL, et al.
Published: (2025-07-01)

The Value of PET/CT-Based Radiomics in Predicting Adrenal Metastases in Patients with Cancer
by: Qiujun He, et al.
Published: (2025-05-01)

Development of a CT radiomics model for detection of bladder invasion by colorectal carcinoma
by: Jingui Wang, et al.
Published: (2025-05-01)

Ultrasound artificial intelligence in the assessment of liver fibrosis
by: HUANG Xiulin, CHEN Chengcai, LUO Tingting, LU Jiao, LIU Anxin, FENG Shiwen
Published: (2025-05-01)

Integrating Radiomics Signature into Clinical Pathway for Patients with Progressive Pulmonary Fibrosis
by: Giacomo Sica, et al.
Published: (2025-01-01)

Application of Radiomics in Predicting the Prognosis of Medulloblastoma in Children
by: Jiashu Chen, et al.
Published: (2025-03-01)

Radiomic Analysis of Contrast‐Enhanced CT Predicts Recompensation in Hepatitis B‐Related Decompensated Cirrhosis
by: Qiaofeng Chen, et al.
Published: (2025-03-01)

MRI-based radiomics machine learning model to differentiate non-clear cell renal cell carcinoma from benign renal tumors
by: Ruiting Wang, et al.
Published: (2024-12-01)

The clinical implications and interpretability of computational medical imaging (radiomics) in brain tumors
by: Yixin Wang, et al.
Published: (2025-03-01)

Establishment of an interpretable MRI radiomics-based machine learning model capable of predicting axillary lymph node metastasis in invasive breast cancer
by: Dingyi Zhang, et al.
Published: (2025-07-01)

Radiomics based on lumbar CT to identify high-risk patients for OVCF in postmenopausal women
by: Qingsong Yu, et al.
Published: (2025-06-01)

A preoperative pathological staging prediction model for esophageal cancer based on CT radiomics
by: Haojun Li, et al.
Published: (2025-02-01)

The value of PET/CT radiomics for predicting survival outcomes in patients with pancreatic ductal adenocarcinoma
by: Yeon-koo Kang, et al.
Published: (2024-11-01)

Radiomic Profiling of Tumor Thrombus for Predicting Recurrence in Renal Cell Carcinoma
by: Zine-Eddine Khene, et al.
Published: (2025-09-01)

Triphasic CT Radiomics Model for Preoperative Prediction of Hepatocellular Carcinoma Pathological Grading
by: Huang H, et al.
Published: (2025-08-01)

CT Radiomics Nomogram Prediction for Tumor Deposits and Prognosis in Colorectal Cancer
by: Manman LI, et al.
Published: (2025-07-01)