Radiology Commons^™

Early Prediction Of The Breast Cancer Response To Neoadjuvant Chemotherapy Based On Intratumoral Interstitial Fluid Pressure Using 3-D Subharmonic-Aided Pressure Estimation, Sung In Choi, Basak Dogan, Corinne E. Wessner, Jessica H. Porembka, Priscilla Machado, B. Bersu Ozcan, Nisha Unni, Maysa Abu-Khalaf, Kenneth Hoyt, Flemming Forsberg, Kibo Nam

Department of Radiology Faculty Papers

Elevated intratumoral interstitial fluid pressure (IFP) may negatively impact the efficacy of neoadjuvant chemotherapy (NAC). This study aimed to predict the breast cancer response to NAC based on intratumoral IFP using 3D contrast-enhanced ultrasound (CEUS) with subharmonic-aided pressure estimation (SHAPE). This prospective study enrolled breast cancer patients undergoing NAC from two clinical sites. 3D CEUS was performed at 0%, 10%, and 30% of NAC completion using a GE Logiq E9 with Definity. The pressure gradients between the tumor and adjacent normal tissue were estimated by SHAPE, utilizing the inverse linear relationship between the ultrasound contrast agent’s subharmonic signal amplitude and …

Mri-Based Deep Learning Radiomics Model For Automated Classification Of Disc Degeneration In The Lumbar Spine, Shiv Patil, Om Gandhi, Mert Karabacak, Matthew Carr, Konstantinos Margetis

Student Papers, Posters & Projects

Disc degeneration in the lumbar spine is a major cause of low back pain (LBP). The accurate grading of disc degeneration on magnetic resonance imaging (MRI) is critical for clinical management and patient selection for spine surgery. This study aims to develop and evaluate machine learning (ML) models that combine features from deep learning (DL) and radiomics for the automated prediction of Pfirrmann grade (PG), a measure of disc degeneration, using multi-parametric lumbar spine MRI. Sagittal T1, T2, and T2 SPACE MRIs of 218 patients with LBP were acquired from the SPIDER dataset. For each intervertebral disc and available sequence, …

A Multi-Agent Large Language Model Framework To Automatically Assess Performance Of A Clinical Ai Triage Tool, Adam Flanders, Yifan Peng, Luciano Prevedello, Robyn Ball, Errol Colak, Prahlad Menon, George Shih, Hui-Ming Lin, Paras Lakhani

Department of Radiology Faculty Papers

Radiology reports can be used as a surrogate for performance of clinical AI tools. Radiology reports were analyzed by an ensemble of eight open-source LLM models and a internal version of GPT-4o using a single multi-shot prompt that assessed for presence of ICH. Performance of the open-source models, consensus of models and GPT-4o were compared to human report review. Three ideal consensus LLM ensembles were tested for rating the performance of the triage tool. The capability of each LLM varied. The highest AUC performance was achieved with llama3.3:70b and GPT-4o. Using MCC the ideal combination of LLMs were: Full-9 Ensemble, …

Reinforcement Learning Improves Llm Accuracy And Reasoning In Disease Classification From Radiology Reports, Yishu Wei, Yi Lin, Adam Flanders, George Shih, Yifan Peng

Department of Radiology Faculty Papers

Accurate disease classification from radiology reports is essential for many applications. While supervised fine-tuning (SFT) of lightweight LLMs improves accuracy, it can degrade reasoning. We propose a two-stage approach: SFT on disease labels followed by Group Relative Policy Optimization (GRPO) to refine predictions by optimizing accuracy and format without reasoning supervision. Across three radiologist-annotated datasets, SFT outperformed baselines and GRPO further improved classification and enhanced reasoning recall and comprehensiveness.

The History Of Women In Neuroradiology In North America From 1990 To The Present, Vijay M. Rao

Department of Radiology Faculty Papers

From 1990 to 2024, women neuroradiologists in North America have made tremendous progress in the areas of leadership, clinical innovation, research, education, diversity, equity and inclusion, and global outreach. This chapter begins with summaries of their key accomplishments in four broad domains, followed by short biographical sketches of numerous luminaries organized by leadership roles and areas of expertise, and ending with conclusions and future directions.

Alpha And Beta Emitters In Translational Nuclear Medicine: Clinical Advances, Challenges, And Future Direction, Hanieh Karimi, Thomas H. Shaffer, Erik Stauff, Vinay V. R. Kandula, Heidi H. Kecskemethy, Lauren W. Averill, Xuyi Yue

Department of Radiology Faculty Papers

Radiopharmaceutical therapy (RPT) has emerged as a transformative modality in oncology, particularly for patients with metastatic or inoperable tumors. By leveraging molecularly targeted carriers conjugated to cytotoxic radionuclides, RPT enables precise delivery of ionizing radiation to tumor sites while minimizing off-target effects. Central to this approach are alpha (α) and beta (β) particle-emitting radionuclides. This review aims to provide a comprehensive overview of all clinically relevant alpha and beta emitters and incorporates the most recent advances from 2017-2025, offering a comprehensive and up-to-date perspective. Alpha and beta emitters hold significant promises for the future, especially in nuclear medicine, energy, and …

Musculoskeletal Infection Reporting And Data System (Mski-Rads): Reviewed And Explained, Angela He, Flavio Duarte Silva, Mina Guirguis, Erin F. Alaia, William B Morrison, Avneesh Chhabra

Department of Radiology Faculty Papers

A standardized guideline and scoring system are recommended for the imaging evaluation of musculoskeletal infections on MR imaging. The Musculoskeletal Infection Reporting and Data System (MSKI-RADS) is a recently developed and validated classification system using MR imaging that can be used to classify the severity and extent of musculoskeletal infections, improve radiology-pathology concordance, and outline the corresponding management recommendations. This review article explains MSKI-RADS and discusses the different elements of this system in detail with a review of pertinent literature so that the readers can apply it in their practices. The work outlines the technical considerations for optimal MR imaging …

Designing A Multilingual Instructional Language Tool For Patient Communication In Interventional Radiology, Samuel Almodóvar, Ahlam Houssein, Gregg Khodorov, Md, Mba, Sahib Sohal, Md, Robert Pugliese, Pharmd, David Dwyer, Md

Alpha Omega Alpha Research Symposium Posters

Introduction: Current efforts to provide language-inclusive radiological care fall short, resulting in suboptimal imaging, increased procedural time, and greater radiation exposure. Inadequate language accessibility results in poor communication, suboptimal care, and increased patient dissatisfaction. A digital language tool was developed to provide patient instructions during interventional radiology (IR) procedures, addressing this gap and enhancing patient care.

Methods: Observations were carried out to better understand workflow during IR procedures and identify how to incorporate the tool. We conducted interviews with IR physicians, nurses, and technologists to gather common procedural phrases and patient instructions. Spanish and Mandarin were selected because they are …

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 …

Neuroradiological Features Across Major Psychiatric Disorders And Behavioral Variant Of Alzheimer’S Disease: A Concise Multimodal Synthesis, Sina Dindarian, Joga Chaganti, Nazanin Rafiei, Scott H. Faro

Department of Radiology Faculty Papers

Psychiatric disorders are complex, disabling conditions that continue to rely on subjective diagnostic criteria due to the absence of objective biological markers. Neuroradiology has become a critical discipline for examining the structural, functional, and biochemical underpinnings of these disorders through advanced brain imaging. This review synthesizes findings from five major psychiatric conditions including major depressive disorder, schizophrenia, autism spectrum disorder, obsessive-compulsive disorder, and generalized anxiety disorder, and briefly discusses the behavioral variant of Alzheimer's disease, a variant with neuropsychological overlay, across multiple imaging modalities, including structural magnetic resonance imaging (MRI), diffusion tensor imaging, functional MRI, magnetic resonance spectroscopy, functional near-infrared …

Associations Between Contralesional Neuroplasticity And Motor Impairment Through Deep Learning-Derived Mri Regional Brain Age In Chronic Stroke (Enigma): A Multicohort, Retrospective, Observational Study, Gilsoon Park, Mahir Khan, Justin Andrushko, Nerisa Banaj, Michael Borich, Lara Boyd, Amy Brodtmann, Truman Brown, Cathrin Buetefisch, Adriana Conforto, Steven Cramer, Michael Dimyan, Martin Domin, Miranda Donnelly, Natalia Egorova-Brumley, Elsa Ermer, Wuwei Feng, Fatemeh Geranmayeh, Colleen Hanlon, Brenton Hordacre, Neda Jahanshad, Steven Kautz, Mohamed Salah Khlif, Jingchun Liu, Martin Lotze, Bradley Macintosh, Feroze Mohamed, Jan Nordvik, Fabrizio Piras, Kate Revill, Andrew Robertson, Christian Schranz, Nicolas Schweighofer, Na Jin Seo, Surjo Soekadar, Shraddha Srivastava, Bethany Tavenner, Gregory Thielman, Sophia Thomopoulos, Daniela Vecchio, Emilio Werden, Lars Westlye, Carolee Winstein, George Wittenberg, Jennifer Ferris, Chunshui Yu, Paul Thompson, Sook-Lei Liew, Hosung Kim

Department of Radiology Faculty Papers

BACKGROUND: Stroke leads to complex chronic structural and functional brain changes that specifically affect motor outcomes. The brain predicted age difference (PAD) has emerged as a sensitive biomarker of both sensorimotor and cognitive function after stroke. Our previous study showed a higher global brain PAD associated with poorer motor function after stroke. However, the association between local stroke lesion load, regional brain age, and motor impairment is unclear. This study aimed to investigate the associations between focal lesion damage, regional brain PAD in both hemispheres, and motor outcomes in chronic stroke, and to identify key predictors of motor impairment.

METHODS: …

Delayed Delivery Of Antibiotics By Ultrasound-Mediated Rupture Of Polylactic Acid Pockets: In Vitro And In Vivo Studies, Selin Isguven Billmyer, Priscilla Machado, Ryan Tomlinson, Lauren J. Delaney, Ji-Bin Liu, Alexander H Harris, Eric Mclaughlin, Noreen J. Hickok, Flemming Forsberg

Department of Radiology Faculty Papers

Surgical site infections are a devastating complication of instrumented orthopaedic surgery, particularly in the spine. Bacterial biofilms, once formed on the implant surfaces, exhibit antibiotic tolerance and immune escape, which lead to treatment challenges. Up to 9% of instrumented spine surgeries result in infection, despite the use of systemic antibiotics and local, powdered antibiotics for prophylaxis. The bacteria that survive the initial prophylaxis may be susceptible to a second, high dose of antibiotic prophylaxis prior to establishing at the site. Hence, we designed a local drug delivery system consisting of polylactic acid (PLA) film pockets that can be noninvasively triggered …

Cordmilk: Umbilical Cord Milking Versus Early Cord Clamping On Short-And Long-Term Outcomes In Neonates Who Are Non-Vigorous At Birth-Study Protocol Of A Multi-Center, Cluster-Randomized, Crossover-Controlled Trial, S. Yogeshkumar, Sunil S. Vernekar, Sangappa M. Dhaded, Kiran Talekar, Benjamin E Leiby, Rebecca Hartman, Yvonne Vaucher, Nitin Chouthai, Meenakshi Girish, Manish Jain, Shuchi Jain, Seema Parvekar, Vinita Jain, Alka Patankar, Milind Suryawanshi, Manish Tiwari, Manjushri Waikar, Nidhi Nashine, Deepali Ambike, Mahesh Asalkar, Rajesh Kulkarni, Sandhya Haribhaktha, Hemraj Narkhede, Sudha Chaudhari, Milind Kamble, Deepti Shrirame, Balchandra Falke, Seema Mehta, Asha Verma, Sunil Gothwal, Shivaprasad S. Goudar, Richard Derman, Anup Katheria, Zubair H. Aghai

Department of Radiology Faculty Papers

BACKGROUND: Facilitating placental transfusion-the transfer of blood from the placenta to the newborn-via delayed cord clamping (DCC) or umbilical cord milking (UCM) at birth has been shown to improve iron stores in healthy term infants and may positively impact long-term neurodevelopmental outcomes. Infants who are non-vigorous at birth and at risk of developing hypoxic-ischemic encephalopathy (HIE) are particularly likely to benefit from placental transfusion. This process may offer neuroprotection by enhancing cardiopulmonary transition, supporting cardiac preload, improving systemic and cerebral perfusion, delivering stem cells and neurotrophic factors, and preventing iron deficiency. While DCC is not currently recommended for non-vigorous term …

Pathways And Challenges In The Clinical Translational Of Radiopharmaceuticals For Pediatric Investigations, Erik Stauff, Hanieh Karimi, Heidi H. Kecskemethy, Thomas H. Shaffer, Reza Vali, Lauren W. Averill, Xuyi Yue

Department of Radiology Faculty Papers

Radiopharmaceutical development and clinical translation face numerous scientific, ethical, and regulatory challenges, particularly within the pediatric population. Although molecular imaging holds significant promise for improving diagnosis and treatment across a spectrum of diseases, including pediatric-specific conditions like Kawasaki disease, autism spectrum disorders, attention-deficit/hyperactivity disorder, and neuroblastoma, the path from discovery to clinical application remains problematic. The U.S. Food and Drug Administration (FDA) provides three primary pathways-traditional Investigational New Drug (IND) applications, exploratory Investigational New Drug application (eIND), and the Radioactive Drug Research Committee (RDRC) mechanism-to facilitate clinical translation of radiotracers. However, these frameworks are not specifically tailored to pediatric needs. …

Perfusion Assessment In Ceus Imaging For Estimating Pancreatic Cancer Response To Sonoporation-Enhanced Chemotherapy., Omri Adler, Priscilla Machado, Trang Vu, Flemming Forsberg, Odd Helge Gilja, Dan Adam

Department of Radiology Faculty Papers

Accurate assessment of perfusion in vital organs like the pancreas is crucial for monitoring various pathologies, particularly tumors and their growth. While tumor growth inhibition usually results in decreased vascularization, current techniques for non-invasive and cost-effective perfusion assessment lack sufficient vessel separability for pancreatic applications, hindering optimal treatment selection and monitoring. Ultrasound (US) imaging offers advantages like low cost, rapid acquisition, non-invasiveness, and non-ionizing radiation. However, speckle, patient-related and acquisition-related motion artifacts, and limitations in distinguishing contrast-enhanced blood vessels, particularly in single frames, pose significant challenges. This study presents a novel solution utilizing image analysis of US contrast agents (UCAs) …

Teaching Ai For Radiology Applications: A Multisociety-Recommended Syllabus From The Aapm, Acr, Rsna, And Siim, Felipe Kitamura, Timothy Kline, Daniel Warren, Linda Moy, Roxana Daneshjou, Farhad Maleki, Igor Santos, Judy Gichoya, Walter Wiggins, Brian Bialecki, Kevin O'Donnell, Adam E. Flanders, Matt Morgan, Nabile Safdar, Katherine P. Andriole, Raym Geis, Bibb Allen, Keith Dreyer, Matt Lungren, Monica J. Wood, Marc Kohli, Steve Langer, George Shih, Eduardo Farina, Charles E. Kahn, Ingrid Reiser, Maryellen Giger, Christoph Wald, John Mongan, Tessa Cook, Neil Tenenholtz

Department of Radiology Faculty Papers

No abstract available

Teaching Ai For Radiology Applications: A Multisociety-Recommended Syllabus From The Aapm, Acr, Rsna, And Siim, Felipe Kitamura, Timothy Kline, Daniel Warren, Linda Moy, Roxana Daneshjou, Farhad Maleki, Igor Santos, Judy Gichoya, Walter Wiggins, Brian Bialecki, Kevin O'Donnell, Adam E. Flanders, Matt Morgan, Nabile Safdar, Katherine P. Andriole, Raym Geis, Bibb Allen, Keith Dreyer, Matt Lungren, Monica J. Wood, Marc Kohli, Steve Langer, George Shih, Eduardo Farina, Charles E. Kahn, Ingrid Reiser, Maryellen Giger, Christoph Wald, John Mongan, Tessa Cook, Neil Tenenholtz

Department of Radiology Faculty Papers

No abstract available.

Teaching Ai For Radiology Applications: A Multisociety‑Recommended Syllabus From The Aapm, Acr, Rsna, And Siim, Felipe Kitamura, Timothy Kline, Daniel Warren, Linda Moy, Roxana Daneshjou, Farhad Maleki, Igor Santos, Judy Gichoya, Walter Wiggins, Brian Bialecki, Kevin O’Donnell, Adam Flanders, Matt Morgan, Nabile Safdar, Katherine P. Andriole, Raym Geis, Bibb Allen, Keith Dreyer, Matt Lungren, Monica J. Wood, Marc Kohli, Steve Langer, George Shih, Eduardo Farina, Charles E. Kahn Jr., Ingrid Reiser, Maryellen Giger, Christoph Wald, John Mongan, Tessa Cook, Neil Tenenholtz

Department of Radiology Faculty Papers

No abstract provided.

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 …

Radiosensitization Of Intrahepatic Cholangiocarcinoma And Metastatic Disease In The Liver Using Microbubble Cavitation: Results From A Phase 2 Clinical Trial, Corinne E. Wessner, Tania Siu Xiao, Allison Chang, Jenny Liu, Weelic Chong, Ji-Bin Liu, Kristen Bradigan, Flemming Forsberg, Andrej Lyshchik, Patrick O'Kane, Scott W. Keith, Stephen R. Topper, Kevin Anton, John R. Eisenbrey

Department of Radiology Faculty Papers

Ultrasound triggered microbubble destruction (UTMD) has been shown to sensitize tumors to radiation. This study evaluated the feasibility, safety, and efficacy of using UTMD for radiosensitization in participants with intrahepatic cholangiocarcinoma (ICC) and/or metastatic disease to the liver (MDL) receiving Yttrium-90 transarterial radioembolization (Y90-TARE). This was a prospective single-center IRB-approved clinical trial. Participants received four contrast ultrasound sessions: 1-2 weeks prior to Y90-TARE, 1-4 h post-treatment, and 1 week and 2 weeks post-Y90-TARE. The control group consisted of 1:1 nearest-neighbor propensity score matched historical controls participants that received Y90-TARE as part of standard-of-care. Safety was evaluated through general lab values, …

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 …

Advances In Molecular Imaging Of Vegfrs: Innovations In Imaging And Therapeutics, Hanieh Karimi, Sarah Lee, Wenqi Xu, Sigrid A. Langhans, David K. Johnson, Erik Stauff, Heidi H. Kecskemethy, Lauren W. Averill, Xuyi Yue

Department of Radiology Faculty Papers

Vascular endothelial growth factor receptors (VEGFRs) are key regulators of angiogenesis, lymphangiogenesis, and vascular permeability, playing essential roles in both physiological and pathological processes. The VEGFR family, including VEGFR-1, VEGFR-2, and VEGFR-3, interacts with structurally related VEGF ligands (VEGFA, VEGFB, VEGFC, VEGFD, and placental growth factor [PlGF]), activating downstream signaling pathways that mediate critical cellular processes, including proliferation, migration, and survival. Dysregulation of VEGFR signaling has been implicated in numerous diseases, such as cancer, cardiovascular conditions, and inflammatory disorders. Targeting VEGFRs with radiopharmaceuticals, such as radiolabeled peptides, antibodies, and specific tracers like 64Cu-bevacizumab and 89Zr-ramucirumab, has emerged as a powerful …

Integrating Radiogenomics And Machine Learning In Musculoskeletal Oncology Care, Rahul Kumar, Kyle Sporn, Akshay Khanna, Phani Paladugu, Chirag Gowda, Alex Ngo, Ram Jagadeesan, Nasif Zaman, Alireza Tavakkoli

Department of Medicine Faculty Papers

Musculoskeletal tumors present a diagnostic challenge due to their rarity, histological diversity, and overlapping imaging features. Accurate characterization is essential for effective treatment planning and prognosis, yet current diagnostic workflows rely heavily on invasive biopsy and subjective radiologic interpretation. This review explores the evolving role of radiogenomics and machine learning in improving diagnostic accuracy for bone and soft tissue tumors. We examine integrating quantitative imaging features from MRI, CT, and PET with genomic and transcriptomic data to enable non-invasive tumor profiling. AI-powered platforms employing convolutional neural networks (CNNs) and radiomic texture analysis show promising results in tumor grading, subtype differentiation …

Imaging Hallmarks Of Idiopathic Intracranial Hypertension And Insights Into Pathogenesis, Albalooshy Basimah, Scott Faro, Hsiangkuo Yuan, Kiran Talekar, Prabath Mondel, Enchao Qiu, Joga Chaganti

Department of Radiology Faculty Papers

Idiopathic Intracranial hypertension (IIH), also referred to as pseudotumor cerebri, is a term used to describe increased intracranial pressure in the absence of a known identifiable secondary cause. Despite advancements of neuroimaging techniques, imaging of the pathological underpinnings in the diagnosis of IIH has been limited. Although the causation of IIH has been ascribed to increased Cerebrospinal Fluid production and disordered drainage through the dural sinuses, new evidence shows that the glymphatic system which is an alternate pathway of drainage is likely to play a pivotal role. In this review, we address the pathophysiological underpinnings in the causation of IIH …

Ensuring Timely Interventional Radiology Biopsy Procedures With Standardized Pre-Procedural Protocol And Guidelines, Joy Zhao, Md, Mohsin Arsiwala, Md, Minki Hong, Md, John Scalise, Md, Limi Jamma, Md, Hanna S. Ellingsen, Md

Health Equity and Quality Improvement (HEQI) Summit

Proposal

• Aim
  • To decrease rate of canceled or delayed IR biopsy procedures by 25% by implementing pre-operative order sets for inpatient IR procedures at Jefferson Center City Hospital in the next 6 months 
• Population of Interest
  • Jefferson Center City teaching team patients requiring IR biopsies
• Intervention
  • Implementing pre-operative order sets that include diet restrictions, anticoagulation guidelines, pre-operative labs, and pre-operative blood pressure and glucose goals 
• Quantifiable Outcome Measurement
  • Comparing rates of canceled and/or delayed IR biopsy procedures in the patient group that use the pre-operative order set compared to those who did not use the order set 
• Data Collection Methods …

Evaluating Bone Fracture Healing In A Rabbit Model Using Doppler Imaging Modes, Shear Wave Elastography, X-Ray, And Dual-Energy X-Ray Absorptiometry, Priscilla Machado, Rachel Blackman, Ji-Bin Liu, Collleen Dempsey, Flemming Forsberg, Traci Fox

Department of Radiology Faculty Papers

OBJECTIVE: This study investigated methods of evaluating the bone fracture healing process using superb microvascular imaging (SMI; two modes color SMI [cSMI] and monochromeSMI [mSMI]), and shear wave elastography (SWE), relative to X-ray, dual-energy X-ray absorptiometry (DXA), and platelet endothelial cell adhesion molecule 1 (PECAM-1) also know as cluster of differentiation 31 (CD-31) staining in a rabbit model.

METHODS: This IACUC-approved study involved eight rabbits that underwent a bilateral fibula osteotomy and were followed for 7 or 21 days (Groups 1 and 2 with 4 rabbits in each). Ultrasound examinations using cSMI, mSMI, and SWE were performed on Days 0, …

Spectrum Of Congenital Anomalies Detected Through Anatomy Ultrasound At A Referral Hospital In Ghana, Alim Swarray-Deen, Morgan Yapundich, Sarah Boudova, Kwaku Doffour-Dapaah, Jeff Osei-Agyapong, Perez Sepenu, Alex K. Boateng, Teresa A. Mensah, Patrick Anum, Nana Essuman Oduro, Theophilus Adu-Bredu, Promise E. Sefogah, Jerry Coleman, Samuel A. Oppong

Department of Obstetrics and Gynecology Faculty Papers

BACKGROUND: Africa has a high burden of congenital anomalies due in part to limited preconception care, infections, and environmental exposures. However, the true prevalence of congenital anomalies is unclear because of insufficient access to prenatal diagnostic services. We aimed to determine the rate of congenital anomalies, and characterize the anomalies detected prenatally at a referral hospital in Ghana.

METHODS: We performed a four-year retrospective review of all fetal anomaly ultrasounds performed and congenital anomalies detected from January 1st, 2020, to December 31st, 2023, at Korle Bu Teaching Hospital, Accra, Ghana. Data were extracted from the electronic database on maternal age, …

Midrc Mrale Mastermind Grand Challenge: Ai To Predict Covid Severity On Chest Radiographs, Samuel G. Armato, Karen Drukker, Lubomir Hadjiiski, Carol C. Wu, Jayashree Kalpathy-Cramer, George Shih, Maryellen L. Giger, Natalie Baughan, Benjamin Bearce, Adam E. Flanders, Robyn L. Ball, Kyle J. Myers, Heather M. Whitney, The Midrc Grand Challenge Working Group

Department of Radiology Faculty Papers

PURPOSE: The Medical Imaging and Data Resource Center (MIDRC) mRALE Mastermind Grand Challenge fostered the development of artificial intelligence (AI) techniques for the automated assignment of mRALE (modified radiographic assessment of lung edema) scores to portable chest radiographs from patients known to have COVID-19.

APPROACH: The challenge utilized 2079 training cases obtained from the publicly available MIDRC data commons, with validation and test cases sampled from not-yet-public MIDRC cases that were inaccessible to challenge participants. The reference standard mRALE scores for the challenge cases were established by a pool of 22 radiologist annotators. Using the MedICI challenge platform, participants submitted …

Left Ventricular And Aortic Pressures Measured With Fluid-Filled And Solid-State Pressure Catheters: Similarities And Differences, Priscilla Machado, Ira Cohen, Brian Osler, Maureen E. Mcdonald, Cara Esposito, Marguerite Davis, David Fischman, Michael P. Savage, Praveen Mehrotra, Flemming Forsberg, Jaydev K. Dave

Division of Cardiology Faculty Papers

Objective: To compare left ventricular (LV) and aortic (AO) pressures obtained using fluid-filled and high-fidelity solid-state pressure catheters in subjects undergoing left heart catheterization.

Materials and Methods: Twenty subjects scheduled for a left heart catheterization were enrolled and 18 subjects completed this IRB-approved study. LV and AO pressures were obtained using fluid-filled pressure catheter (standard-of-care) and high-fidelity solid-state pressure catheter synchronously. Pressure tracings were analyzed to measure LV systolic (LVSP), LV minimum-diastolic (LVMDP), LV end-diastolic (LVEDP), AO systolic (AOSP), and AO diastolic (AODP) pressures. Isovolumic contraction and relaxation rates (peak ± dp/dt) were derived from the pressure waveforms. Repeated measures …