Investigative Techniques Commons^™

Controlled Antibiotic Release From Emulsion-Loaded Alginate And Fibrin Hydrogels Using Ultrasound, Ziba Ghareh Nazi Fam, Asia Winslow, Mario Fabiilli, Sam Varghese, Brian Oeffinger, Flemming Forsberg, Noreen Hickok, Lauren Delaney

Department of Radiology Faculty Papers

Postoperative infections remain a major complication after spinal fusion surgery, often caused by biofilm-forming bacteria that resist short-term antibiotic prophylaxis. Vancomycin (VAN) is sometimes delivered locally during surgery; however, levels diminish rapidly, leaving patients vulnerable to late-onset infections. We developed a composite hydrogel integrating perfluorohexane-based emulsions within alginate or fibrin matrices to enable both sustained and ultrasound-triggered VAN release. Water-in-oil-in-water emulsions were prepared using fluorosurfactant-stabilized perfluorohexane as the volatile oil phase, then embedded in hydrogels and exposed to ultrasound (2.5 MHz, 5.5 MPa peak negative pressure) to initiate acoustic droplet vaporization for triggered release. Drug release was quantified spectrophotometrically and …

Metastatic Uveal Melanoma Surveillance: A Delphi Panel Consensus, Juan Alban, R. Christopher Bowen, David A. Reichstein, Meredith Mckean, Jose Lutzky, Ezekiel Weis, Richard D. Carvajal, Susan Dulka, Brian G. Morse, Marcus O. Butler, Suthee Rapisuwon, Kevin B. Kim, Sanjay Chandrasekaran, Allison Betof Warner, Jonathan S. Zager, Bartosz Chmielowski, Sapna P. Patel, Leonel Fernando Hernandez-Aya, Zelia M. Correa, Leslie A. Fecher, Yana G. Najjar, Kamaneh Montazeri, Alexander N. Shoushtari, Asad Javed, Dan S. Gombos, April K. S. Salama, Katy Tsai, Frank H. Miller, Nikhil Khushalani, Rino S. Seedor, Evan J. Lipson, Sunil A. Reddy, Elizabeth Buchbinder, Shailender Bhatia, Anna Pavlick, Inderjit Mehmi, Thomas Aaberg, Alexandra P. Ikeguchi, Ivana K. Kim, Scott D. Walter, Arun D. Singh, Ryan J. Sullivan, Jacob S. Choi, Basil K. Williams, Marlana Orloff, Prithvi Mruthyunjaya, Megan D. Schollenberger, Namita Gandhi, J. William Harbour, Sunandana Chandra

Department of Radiology Faculty Papers

BACKGROUND/OBJECTIVES: Uveal melanoma is a rare but aggressive intraocular malignancy that metastasizes in up to half of patients, most commonly to the liver, despite effective local treatment. In the absence of robust evidence, there are no standardized guidelines for post-treatment surveillance, resulting in wide variation in imaging modalities, frequency, and duration across physicians and institutions. This study aimed to develop expert consensus recommendations for surveillance strategies in patients with uveal melanoma.

METHODS: A modified Delphi method was conducted across three iterative survey rounds between September 2024 and February 2025 using an online platform. Panelists included medical oncologists, ocular oncologists, radiologists, …

A Comparative Evaluation Of Two Subharmonic-Aided Pressure Estimation (Shape) Analysis Methods, Hailee Mayer, Priscilla Machado, Trang Vu, Annalisa Berzigotti, Jaume Bosch, Elton Dajti, Antonina Antonenko, Kirk Wallace, Flemming Forsberg

Department of Radiology Faculty Papers

Pressure measurement in clinical practice is a valuable tool for diagnostic evaluation, especially in diseases such as portal hypertension. Currently, portal pressures are measured by invasive hepatic vein catheterization, posing risks to patients, and limiting how often measurements can be obtained. Subharmonic-aided pressure estimation (SHAPE) is an ultrasound-based technique that leverages ultrasound contrast agents (UCAs) to estimate changes in hydrostatic pressure. UCAs act as nonlinear oscillators when exposed to high enough acoustic pressures (typically > 200 kPa) and produce significant energy components ranging from subharmonics to higher harmonics. Tissues do not generate significant subharmonic components, thus making it the optimal component …

Reliability And Spatial Consistency Of Mr Diffusion Tensor Imaging Measures Along The Cerebral Perivascular Space, Enchao Qiu, Joga Chaganti, Phillip Phan, M. Alizadeh, Devon Middleton, Kiran Talekar, Prabath Mondel, Scott H. Faro, Feroze Mohamed, Hsiangkuo Yuan

Department of Radiology Faculty Papers

BACKGROUND AND PURPOSE: Diffusion tensor imaging analysis along the perivascular space (DTI-ALPS) has emerged as a promising noninvasive method for evaluating water motion that may reflect glymphatic system function. However, the reliability of DTI-ALPS measurements across different region-of-interest (ROI) selection methods remains underinvestigated. This study aimed to assess the interrater reliability among three neuroradiologists in native space and compare DTI-ALPS indices derived from ROIs placed in subjects' native space versus standardized Montreal Neurological Institute (MNI) space.

METHODS: DTI-ALPS indices from 16 healthy subjects were calculated from both left and right hemispheres using two ROI placement approaches: (1) native space ROIs …

Validation Of Established Thyroid Ultrasound Volume Norms In A Chernobyl Cohort, Lydia B. Zablotska, Robert J. Mcconnell, Aleksandr V. Rozhko, Patrick O'Kane, Vasilina Yauseyenka, Mark P. Little, Victor Minenko, Vladimir Drozdovitch, Tamara Moskvicheva, Maureen Hatch, Tamara Yeudachkova, Kiyohiko Mabuchi, Elizabeth K. Cahoon

Department of Radiology Faculty Papers

OBJECTIVE: To establish thyroid ultrasound volume norms appropriate for studies of diffuse goiter in a cohort of children and adolescents from an iodine-deficient population exposed to 131I by the Chernobyl fallout.

METHODS: A cohort of 11,970 Belarusians aged ≤18 years at the time of the 1986 Chernobyl accident with individual thyroid radiation dose estimates was screened 10-18 years later. From these, a low-dose subset of 2,392 with no thyroid diseases was selected to construct age- and sex-specific normative values for thyroid ultrasound volume, compared to Belarusian Ministry of Health (MOH) norms and existing WHO and European standards.

RESULTS: Cohort-specific values …

Multimodal Functional Imaging And Clinical Correlates Of Pain Regions In Chronic Low-Back Pain Patients Treated With Spinal Cord Stimulation: A Pilot Study, Yazan Shamli Oghli, Arjun Ashok, Steven Glener, Isaiah Ailes, Mashaal Syed, Kichang Kang, Sara Naghizadeh Kashani, Islam Fayed, Feroze Mohamed, Kiran Talekar, Laura Krisa, Chengyuan Wu, Caio Matias, Mahdi Alizadeh

Department of Radiology Faculty Papers

OBJECTIVE: Spinal cord stimulation (SCS) is an invasive treatment option for patients suffering from chronic low-back pain (cLBP). It is an effective treatment that has been shown to reduce pain and increase the quality of life in patients. However, the activation of pain processing regions of cLBP patients receiving SCS has not been assessed using objective, quantitative functional imaging techniques. The purpose of the present study was to compare quantitative resting-state (rs)-fMRI and arterial spin labeling (ASL) measures between SCS patients and healthy controls and to correlate clinical measures with quantitative multimodal imaging indices in pain regions.

METHODS: Multi-delay 3D …

Checklist For Reproducibility Of Deep Learning In Medical Imaging, Mana Moassefi, Yashbir Singh, Gian Marco Conte, Bardia Khosravi, Pouria Rouzrokh, Sanaz Vahdati, Nabile Safdar, Linda Moy, Felipe Kitamura, Amilcare Gentili, Paras Lakhani, Nina Kottler, Safwan Halabi, Joseph Yacoub, Yuankai Hou, Khaled Younis, Bradley Erickson, Elizabeth Krupinski, Shahriar Faghani

Department of Radiology Faculty Papers

The application of deep learning (DL) in medicine introduces transformative tools with the potential to enhance prognosis, diagnosis, and treatment planning. However, ensuring transparent documentation is essential for researchers to enhance reproducibility and refine techniques. Our study addresses the unique challenges presented by DL in medical imaging by developing a comprehensive checklist using the Delphi method to enhance reproducibility and reliability in this dynamic field. We compiled a preliminary checklist based on a comprehensive review of existing checklists and relevant literature. A panel of 11 experts in medical imaging and DL assessed these items using Likert scales, with two survey …

A Multi-Institutional Meningioma Mri Dataset For Automated Multi-Sequence Image Segmentation, Dominic Labella, Omaditya Khanna, Shan Mcburney-Lin, Ryan Mclean, Pierre Nedelec, Arif Rashid, Nourel Hoda Tahon, Talissa Altes, Ujjwal Baid, Radhika Bhalerao, Yaseen Dhemesh, Scott Floyd, Devon Godfrey, Fathi Hilal, Anastasia Janas, Anahita Kazerooni, Collin Kent, John Kirkpatrick, Florian Kofler, Kevin Leu, Nazanin Maleki, Bjoern Menze, Maxence Pajot, Zachary Reitman, Jeffrey Rudie, Rachit Saluja, Yury Velichko, Chunhao Wang, Pranav Warman, Nico Sollmann, David Diffley, Khanak Nandolia, Daniel Warren, Ali Hussain, John Pascal Fehringer, Yulia Bronstein, Lisa Deptula, Evan Stein, Mahsa Taherzadeh, Eduardo Portela De Oliveira, Aoife Haughey, Marinos Kontzialis, Luca Saba, Benjamin Turner, Melanie Brüßeler, Shehbaz Ansari, Athanasios Gkampenis, David Maximilian Weiss, Aya Mansour, Islam Shawali, Nikolay Yordanov, Joel Stein, Roula Hourani, Mohammed Yahya Moshebah, Ahmed Magdy Abouelatta, Tanvir Rizvi, Klara Willms, Dann Martin, Abdullah Okar, Gennaro D'Anna, Ahmed Taha, Yasaman Sharifi, Shahriar Faghani, Dominic Kite, Marco Pinho, Muhammad Ammar Haider, Michelle Alonso-Basanta, Javier Villanueva-Meyer, Andreas Rauschecker, Ayman Nada, Mariam Aboian, Adam Flanders, Spyridon Bakas, Evan Calabrese

Department of Radiology Faculty Papers

Meningiomas are the most common primary intracranial tumors and can be associated with significant morbidity and mortality. Radiologists, neurosurgeons, neuro-oncologists, and radiation oncologists rely on brain MRI for diagnosis, treatment planning, and longitudinal treatment monitoring. However, automated, objective, and quantitative tools for non-invasive assessment of meningiomas on multi-sequence MR images are not available. Here we present the BraTS Pre-operative Meningioma Dataset, as the largest multi-institutional expert annotated multilabel meningioma multi-sequence MR image dataset to date. This dataset includes 1,141 multi-sequence MR images from six sites, each with four structural MRI sequences (T2-, T2/FLAIR-, pre-contrast T1-, and post-contrast T1-weighted) accompanied by …