Sarcomatoid and rhabdoid renal cell carcinoma: clinical, pathologic, and molecular genetic features

AJ Adeniran, B Shuch… - The American Journal of …, 2024 - journals.lww.com
Renal cell carcinoma (RCC) with sarcomatoid and rhabdoid morphologies has an
aggressive biological behavior and a typically poor prognosis. The current 2022 WHO …

Skeleton-based tai chi action segmentation using trajectory primitives and content

L Xu, Q Wang, X Lin, L Yuan, X Ma - Neural Computing and Applications, 2023 - Springer
Recognizing and analyzing human action is an important problem in many applications.
Most studies focus on single motions, but human activity usually appears as a complex …

Thyroid cancer diagnostic system using magnetic resonance imaging

A Sharafeldeen, M Elsharkawy… - 2022 26th …, 2022 - ieeexplore.ieee.org
Early detection and diagnosis of thyroid nodules are very important to rescue patients before
the cancer spreads all over the patient's body. A computer-aided diagnosis (CAD) system is …

Magnetic resonance imaging (MRI) helps differentiate renal cell carcinoma with sarcomatoid differentiation from renal cell carcinoma without sarcomatoid …

M Takeuchi, AT Froemming, A Kawashima… - Abdominal …, 2022 - Springer
Purpose The aim of the present study is to identify predictive imaging findings and construct
a diagnostic model for differentiating renal cell carcinoma (RCC) with and without …

The Role of Artificial Intelligence in Automated Data Analysis of the Kidney

AV Gregory, TL Kline - Advanced Clinical MRI of the Kidney: Methods and …, 2023 - Springer
Algorithms in the area of artificial intelligence (AI) show promising performance in many
fields, and radiology is no exception. In recent years, AI algorithms have begun to be …

Deep learning radiomics-based prediction model of metachronous distant metastasis following curative resection for retroperitoneal leiomyosarcoma: a bicentric study

Z Tian, Y Cheng, S Zhao, R Li, J Zhou, Q Sun, D Wang - Cancer Imaging, 2024 - Springer
Combining conventional radiomics models with deep learning features can result in superior
performance in predicting the prognosis of patients with tumors; however, this approach has …

Deep learning-based prediction of tumor aggressiveness in RCC using multiparametric MRI: a pilot study

G Du, L Chen, B Wen, Y Lu, F Xia, Q Liu… - International Urology and …, 2024 - Springer
Objective To investigate the value of multiparametric magnetic resonance imaging (MRI) as
a non-invasive method to predict the aggressiveness of renal cell carcinoma (RCC) by …

Renal cell carcinoma and venous tumor thrombus: predicting sarcomatoid dedifferentiation through preoperative IVIM-based MR imaging

J Zhao, X Ding, S Zhou, M Wang, C Peng, X Bai… - Abdominal …, 2024 - Springer
Purpose To evaluate the value of preoperative intravoxel incoherent motion diffusion-
weighted imaging (IVIM-DWI) and conventional MRI indicators in identifying sarcomatoid …

[PDF][PDF] 肉瘤样肾细胞癌的诊疗进展

游琦, 陈少豪, 许宁 - 临床泌尿外科杂志, 2022 - lcmwen.whuhzzs.com
肉瘤样肾细胞癌(sarcomatoidrenalcellcarcinoma, SRCC) 是一种特殊类型的肾癌, 临床少见,
恶性程度高, 无特异性临床表现, 缺乏生物标记物, 传统治疗方式疗效不佳, 预后极差 …

Magnetic Resonance Imaging Virtual Biopsy of Common Solid Renal Masses—A Pictorial Review

S Kumar, M Virarkar, SSR Vulasala… - Journal of computer …, 2023 - journals.lww.com
The expanded application of radiologic imaging resulted in an increased incidence of renal
masses in the recent decade. Clinically, it is difficult to determine the malignant potential of …