Quantitative Analysis of Multiphase Contrast-Enhanced CT Images: A Pilot Study of Preoperative Prediction of Fat-Poor Angiomyolipoma and Renal Cell Carcinoma-Reference-Cited by-同舟云学术

Quantitative Analysis of Multiphase Contrast-Enhanced CT Images: A Pilot Study of Preoperative Prediction of Fat-Poor Angiomyolipoma and Renal Cell Carcinoma

Published:2020-02 Issue:2 Volume:214 Page:370-382
ISSN:0361-803X
Container-title:American Journal of Roentgenology
language:en
Short-container-title:American Journal of Roentgenology

Author:

Tang Zhenchao¹,Yu Dexin²,Ni Tianjiao¹,Zhao Tongtong²,Jin Ye¹,Dong Enqing¹

Affiliation:

1. School of Mechanical, Electrical & Information Engineering, Shandong University, 180 Wenhua Rd W, Weihai, Shandong 264209, China.

2. Department of Radiology, Shandong University, Qilu Hospital, Jinan, China.

Publisher

American Roentgen Ray Society

Subject

Radiology Nuclear Medicine and imaging,General Medicine

Link

https://www.ajronline.org/doi/pdf/10.2214/AJR.19.21625

Reference45 articles.

1. Renal angiomyolipomata

2. Renal cell carcinoma containing fat mimicking angiomyolipoma: demonstration with CT scan and histopathology

3. Minimal Fat Angiomyolipoma: A Controversial Subtype of Classic Angiomyolipoma

4. Angiomyolipoma (AML) without visible fat: Ultrasound, CT and MR imaging features with pathological correlation

5. MR classification of renal masses with pathologic correlation

Cited by 9 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. The role of radiomics in computed tomography, magnetic resonance imaging, and ultrasound for renal tumors’ diagnoses: A systematic review;Journal of Radiation Research and Applied Sciences;2024-03

2. Machine learning-based CT texture analysis in the differentiation of testicular masses;Frontiers in Oncology;2024-01-16

3. The classification of benign and malignant lung nodules based on CT radiomics: a systematic review, quality score assessment, and meta-analysis;Acta Radiologica;2023-10-10

4. Role of AI and Radiomic Markers in Early Diagnosis of Renal Cancer and Clinical Outcome Prediction: A Brief Review;Cancers;2023-05-19

5. Automatic renal mass segmentation and classification on CT images based on 3D U-Net and ResNet algorithms;Frontiers in Oncology;2023-05-18