Results 101 to 110 of about 48,979 (300)

Peritumoral Dilation Radiomics of Gadoxetate Disodium-Enhanced MRI Excellently Predicts Early Recurrence of Hepatocellular Carcinoma without Macrovascular Invasion After Hepatectomy

, 2021
Huanhuan Chong,1,2 Yuda Gong,3 Xianpan Pan,4 Aie Liu,4 Lei Chen,4 Chun Yang,1 Mengsu Zeng1,2,5 1Department of Radiology, Zhongshan Hospital, Fudan University, Shanghai, 200032, People’s Republic of China; 2Shanghai Institute of Medical Imaging ...
Pan X, Chong H, Chen L, Zeng M, Liu A, Gong Y, Yang C   +6 more
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Technical Note: Extension of CERR for computational radiomics: A comprehensive MATLAB platform for reproducible radiomics research [PDF]

, 2018
PurposeRadiomics is a growing field of image quantitation, but it lacks stable and high-quality software systems. We extended the capabilities of the Computational Environment for Radiological Research (CERR) to create a comprehensive, open-source ...
Aditya P. Apte, van Dijk, Lisanne V.; id_orcid, Iyer, Aditi, Amita Shukla-Dave, Rutu Pandya, Um, Hyemin, Aditi Iyer, Jung Hun Oh, Thor, Maria, Deasy, Joseph O., Spezi, Emiliano, Veeraraghavan, Harini, Hyemin Um, Apte, Aditya P., van Dijk, Lisanne V., Lisanne V. van Dijk, Joseph O. Deasy, Maria Thor, Shukla-Dave, Amita, Emiliano Spezi, Pandya, Rutu, Oh, Jung Hun, Crispin-Ortuzar, Mireia, Harini Veeraraghavan, Mireia Crispin-Ortuzar   +24 more
core   +1 more source

Radiomics and Back Pain

Global Spine Journal
Study Design Narrative review. Objectives Back pain is one of the leading causes of disability worldwide. While conventional imaging interpretation remains subjective and expertise-dependent, radiomics offers quantitative, data-driven ...
Jason Lin, Vinay Duddalwar, Michael M. Safaee   +2 more
openaire   +2 more sources

Deep‐Learning Based Contrast Boosting: A Multi‐Center Multi‐Reader Study on Clinical Performance With Standard Contrast Enhanced Brain MRI

Journal of Magnetic Resonance Imaging, EarlyView.
ABSTRACT Background Gadolinium‐based contrast agents are used in brain MRI to improve the visualization of disorders and improve the delineation of lesions. Higher doses of GBCAs can improve lesion sensitivity but may have safety implications, particularly in light of recent findings on gadolinium retention and deposition.
Srivathsa Pasumarthi Venkata, Thomas Campbell Arnold, Sonia Colombo Serra, Jeffrey. D. Rudie, Jalal. B. Andre, Ronny Elor, Dayang Wang, Praveen Gulaka, Ajit Sankaranarayanan, Gunter Erb, Greg Zaharchuk   +10 more
wiley   +1 more source

ABVS-Based Radiomics for Early Predicting the Efficacy of Neoadjuvant Chemotherapy in Patients with Breast Cancers

, 2023
Wei Jiang, Xiaofei Deng, Ting Zhu, Jing Fang, Jinyao Li Department of Ultrasound, Huazhong University of Science and Technology Union Shenzhen Hospital (Nanshan Hospital), Shenzhen, Guangdong province, People’s Republic of ChinaCorrespondence: Wei Jiang,
Fang J, Li J, Jiang W, Deng X, Zhu T
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Robust radiomics: a review of guidelines for radiomics in medical imaging

Frontiers in Radiology
Introduction Radiomics aims to develop image-based biomarkers by combining quantitative analysis of medical images with artificial intelligence (AI) through a robust, reproducible pipeline. Scientific societies, task groups, and consortia have published several guidelines to help researchers design robust ...
Avanzo, Michele, Soda, Paolo, Bertolini, Marco, Bettinelli, Andrea, Rancati, Tiziana, Stancanello, Joseph, Rampado, Osvaldo, Pirrone, Giovanni, Drigo, Annalisa   +8 more
openaire   +2 more sources

Application of MR Cytometry in Predicting Pathologic Complete Response to Neoadjuvant Chemotherapy in Breast Cancer: A Comparative Study

Journal of Magnetic Resonance Imaging, EarlyView.
ABSTRACT Background MR cytometry imaging is developed to characterize in vivo microstructures. Its clinical value in predicting pathological complete response (pCR) after neoadjuvant chemotherapy (NAC) for breast cancer remains unknown. Purpose To implement MR cytometry to predict pCR for breast cancer and compare the performance of different ...
Jie Ding, Diwei Shi, Shiyun Sun, Jinlong Zheng, Wentao Yang, Caixia Fu, Dazhi Chen, Junzhong Xu, Hua Guo, Chao You, Yajia Gu   +10 more
wiley   +1 more source

Radiomics-Guided Deep Learning Networks Classify Differential Diagnosis of Parkinsonism. [PDF]

The differential diagnosis between atypical Parkinsonian syndromes may be challenging and critical. We aimed to proposed a radiomics-guided deep learning (DL) model to discover interpretable DL features and further verify the proposed model through the ...
Wang, Luyao, Lu, Jiaying, Shi, Kuangyu, Shaoyou Wu, Ronghua Ling, Ping Wu, Jiang, Jiehui, Yan, Zhuangzhi, Liu, Yingqian, Min Wang, Yingqian Liu, Jiaying Lu, Juanjuan Jiang, Zuo, Chuantao, Ling, Ronghua, Wu, Shaoyou, Luyao Wang, Chuantao Zuo, Zhuangzhi Yan, Ge, Jingjie, Jiehui Jiang, Jingjie Ge, Wu, Ping, Jiang, Juanjuan, Wang, Min, Kuangyu Shi   +25 more
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Prognostic Value of Combined FDG PET and MRI Analysis of Cervical Cancer: A Systematic Review and Meta‐Analysis

Journal of Medical Radiation Sciences, EarlyView.
This systematic review and meta‐analysis synthesised FDG PET/MRWE biomarkers in cervical cancer, including a pooled analysis of the association between metabolic activity (SUV‐based metrics) and tumour diffusion characteristics (ADC measures). Prognostic evidence from the included studies was also analysed to identify PET‐ and MRI‐based parameters, as ...
William Wei, Dominic Ku, Natalie Rutherford   +2 more
wiley   +1 more source

Shear-Wave Elastography-Based Radiomics Nomogram for the Prediction of Cardiovascular Disease in Patients with Diabetic Kidney Disease

, 2023
Fei Meng, Qin Wu, Wei Zhang, Shirong Hou Department of Ultrasound, Xuan Cheng City Central Hospital, Xuancheng, Anhui, People’s Republic of ChinaCorrespondence: Fei Meng, Xuan Cheng City Central Hospital, No.
Meng F, Zhang W, Wu Q, Hou S
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