Aylin Tahmasebi

Comparison of simulated transient elastography sample volumes and global measurements on MRE and MRI-PDFF in patients with suspected MASLD

Tania Siu Xiao, Aylin Tahmasebi, Seyedeh Mohaddeseh Khatami, Cristina Kuon-Yeng et autres

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Contrast-enhanced Ultrasound LI-RADS for Nonradiation Treatment Response Assessment in Liver Tumor: A Pictorial Review Based on LR-TR v2024

Junmei Xu, Aylin Tahmasebi, Amr Mohammed, Bahareh Kian Pour et autres

This pictorial review summarizes the Contrast-enhanced ultrasound (CEUS) Liver Imaging Reporting and Data System (LI-RADS) Treatment Response Algorithm (LR-TR, v2024) for response assessment after nonradiation locoregional therapies (NLT). The NLT covered by LR-TR v2024 includes embolization procedures such as conventional transarterial chemoembolization …

Feasibility of Contrast-Enhanced Ultrasound Fusion With Pretreatment MR/CT for Recurrence Detection in Renal Cell Carcinoma Patients During Post-Ablation Surveillance

Aylin Tahmasebi, Tania Siu Xiao, Corinne E. Wessner, Cristina M. Kuon Yeng Escalante et autres

OBJECTIVE: Contrast enhanced ultrasound (CEUS) is a cost-effective, safe, and accurate modality for monitoring renal cell carcinoma (RCC) recurrence following percutaneous ablation. However, ultrasound delineation of treated tumor borders can be challenging post-ablation. Here, we demonstrate the feasibility of using post-treatment CEUS …

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Combining CEUS and CT/MRI LI-RADS major imaging features: diagnostic accuracy for classification of indeterminate liver observations in patients at risk for HCC

Tania Siu Xiao, Cristina M. Kuon Yeng Escalante, Aylin Tahmasebi, Yuko Kono et autres

PURPOSE: To determine the diagnostic accuracy of combining CEUS and CT/MRI LI-RADS major imaging features for the improved categorization of liver observations indeterminate on both CT/MRI and CEUS. MATERIALS AND METHODS: A retrospective analysis using a database from a prospective study conducted …

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Characterizing Sentinel Lymph Node Status in Breast Cancer Patients Using a Deep-Learning Model Compared With Radiologists' Analysis of Grayscale Ultrasound and Lymphosonography

Priscilla Machado, Aylin Tahmasebi, Samuel J. Fallon, Ji‐Bin Liu et autres

ABSTRACT: The objective of the study was to use a deep learning model to differentiate between benign and malignant sentinel lymph nodes (SLNs) in patients with breast cancer compared to radiologists' assessments.Seventy-nine women with breast cancer were enrolled and underwent lymphosonography and …

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Evaluation of the Contrast-Enhanced Ultrasound Nonradiation Treatment Response Assessment LI-RADS v2024 Using Data From a Multi-Center Transarterial Chemoembolization Study

Cristina M. Kuon Yeng Escalante, Tania Siu Xiao, Rohit U. Nagaraj, Esika Savsani et autres

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A Guideline for Open-Source Tools to Make Medical Imaging Data Ready for Artificial Intelligence Applications: A Society of Imaging Informatics in Medicine (SIIM) Survey

Sanaz Vahdati, Bardia Khosravi, Elham Mahmoudi, Kuan Zhang et autres

In recent years, the role of Artificial Intelligence (AI) in medical imaging has become increasingly prominent, with the majority of AI applications approved by the FDA being in imaging and radiology in 2023. The surge in AI model development to tackle clinical …

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Reproducibility of Deep Learning Algorithms Developed for Medical Imaging Analysis: A Systematic Review

Mana Moassefi, Pouria Rouzrokh, Gian Marco Conte, Sanaz Vahdati et autres

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Comparison of Magnetic Resonance-Based Elastography and Ultrasound Shear Wave Elastography in Patients With Suspicion of Nonalcoholic Fatty Liver Disease

Aylin Tahmasebi, Corinne E. Wessner, Flavius F. Guglielmo, Shuo Wang et autres

ABSTRACT: This study investigated the correlation between magnetic resonance elastography (MRE) and shear wave ultrasound elastography (SWE) in patients with clinically diagnosed or suspected nonalcoholic fatty liver disease (NAFLD). Subjects with or at risk of NAFLD identified by magnetic resonance imaging (MRI) …

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Ultrasound‐Based Machine Learning Approach for Detection of Nonalcoholic Fatty Liver Disease

Aylin Tahmasebi, Shuo Wang, Corinne E. Wessner, Trang Vu et autres

OBJECTIVES: Current diagnosis of nonalcoholic fatty liver disease (NAFLD) relies on biopsy or MR-based fat quantification. This prospective study explored the use of ultrasound with artificial intelligence for the detection of NAFLD. METHODS: One hundred and twenty subjects with clinical suspicion of …

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Comparison of Gray-scale Inversion to Improve Detection of Pulmonary Nodules on Chest X-rays Between Radiologists and a Deep Convolutional Neural Network

Patrick Lee, Aylin Tahmasebi, Jaydev K. Dave, Maansi Parekh et autres

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Tumoral oxygenation and biodistribution of Lonidamine oxygen microbubbles following localized ultrasound-triggered delivery

Quezia Lacerda, Ankit Rochani, Brian E. Oeffinger, Ji‐Bin Liu et autres

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