Analytical, Diagnostic and Therapeutic Techniques and Equipment Commons^™

The Michigan Procedure: Mass Extraction From The Heart Facilitated By Onocor Global Embolic Protection Device, Hussam Al Hennawi, Shaurya Srivastava, Ahmad Abulshamat, Mohammed Qintar

Abington Jefferson Health Papers

Intracardiac masses present a challenging diagnostic and therapeutic dilemma and are associated with an increased risk of complications, such as embolic events and obstructive symptoms. We report a novel procedure using an ŌNŌCOR device through subclavian access that acted as a full-body protection device as well as a retrieval device.

Comparative Plan Analysis: Helical Tomotherapy Vs. Linac Vmat For Lower Extremity Sarcomas, Marie E. Dibona

Masters Projects

Abstract

Introduction

Soft tissue sarcomas (STS) affect about 13,500 people annually in the United States, and those in the lower extremities present unique challenges in radiation therapy due to the wide variability in tumor sizes, sometimes exceeding 30cm. Traditional treatment involves C-Arm linear accelerators using Volumetric Modulated Radiation Therapy (VMAT), which provides precise targeting while sparing nearby organs. Helical Tomotherapy (HT) is another option, delivering radiation in a helical pattern with a binary MLC for a uniform dose distribution. However, no studies have compared VMAT and HT for lower extremity sarcomas of different sizes. This study aims to compare these …

Non-Receptor Tyrosine Kinases: Their Structure And Mechanistic Role In Tumor Progression And Resistance, Abdulaziz M. Eshaq, Thomas W. Flanagan, Sofie Yasmin Hassan, Sara A. Al Asheikh, Waleed A. Al-Amoudi, Simeon Santourlidis, Sarah Lilly Hassan, Maryam O. Alamodi, Marcelo L. Bendhack, Mohammed O. Alamodi, Youssef Haikel, Mossad Megahed, Mohamed Hassan

School of Graduate Studies Faculty Publications

Protein tyrosine kinases (PTKs) function as key molecules in the signaling pathways in addition to their impact as a therapeutic target for the treatment of many human diseases, including cancer. PTKs are characterized by their ability to phosphorylate serine, threonine, or tyrosine residues and can thereby rapidly and reversibly alter the function of their protein substrates in the form of significant changes in protein confirmation and affinity for their interaction with protein partners to drive cellular functions under normal and pathological conditions. PTKs are classified into two groups: one of which represents tyrosine kinases, while the other one includes the …

Advancement In In-Silico Drug Discovery From Virtual Screening Molecular Dockings To De-Novo Drug Design Transformer-Based Generative Ai And Reinforcement Learning, Dony Ang

Computational and Data Sciences (PhD) Dissertations

The field of drug discovery has seen remarkable advancements over the past few decades, transitioning from traditional experimental methods to highly sophisticated computational approaches. One of the pivotal techniques in this evolution is virtual screening, which utilizes molecular docking to predict the interaction between small molecules and target proteins. This method has significantly accelerated the initial stages of drug discovery by enabling the high-throughput screening of large chemical libraries. By simulating the binding affinity and stability of potential drug candidates, virtual screening has become a cornerstone in identifying promising compounds for further development.

A notable application of virtual screening was …

Evaluation Of The Alveolar Crest And Cemento-Enamel Junction In Periodontitis Using Object Detection On Periapical Radiographs, Tai Jung Lin, Yi Cheng Mao, Yuan Jin Lin, Chin Hao Liang, Yi Qing He, Yun Chen Hsu, Shih Lun Chen, Tsung Yi Chen, Chiung An Chen, Kuo Chen Li, Patricia Angela R. Abu

Ateneo Laboratory for Intelligent Visual Environments

The severity of periodontitis can be analyzed by calculating the loss of alveolar crest (ALC) level and the level of bone loss between the tooth’s bone and the cemento-enamel junction (CEJ). However, dentists need to manually mark symptoms on periapical radiographs (PAs) to assess bone loss, a process that is both time-consuming and prone to errors. This study proposes the following new method that contributes to the evaluation of disease and reduces errors. Firstly, innovative periodontitis image enhancement methods are employed to improve PA image quality. Subsequently, single teeth can be accurately extracted from PA images by object detection with …

Renal Mass Imaging Modalities: Does Body Mass Index (Bmi) Matter?, Young Son, Mark E Quiring, Raeann M Dalton, Brian Thomas, Noah Davidson, Dayna Devincentz, Collin Payne, Sahil H Parikh, Benjamin A Fink, Thomas Mueller, Gordon Brown

Rowan-Virtua School of Osteopathic Medicine Departmental Research

PURPOSE: Accurate measurement of renal mass size is crucial in the management of renal cancer. With the burdensome cost of imaging yet its need for management, a better understanding of the variability among patients when determining mass size remains of urgent importance. Current guidelines on optimal imaging are limited, especially with respect to body mass index (BMI). The aim of this study is to discern which modalities accurately measure renal mass size and whether BMI influences such accuracy.

METHODS: A multi-institutional chart review was performed for adult patients undergoing partial or radical nephrectomy between 2018 and 2021, with 236 patients …

Investigating The Quantitative Impact Of Varied Hair Densities On Proton Beam Planning For Head And Neck Cancer: A Dosimetric Analysis, Breanna M. Reed

Masters Projects

Abstract

Purpose: The purpose of this research was to investigate the impact of differing hair densities on dose distributions for proton plans in the head and neck region.

Methods: Four CT scans were acquired with varying hair densities. Plans were created on a no hair scan using both a 3cm and 5cm range shifter. Plans were then calculated using three additional datasets with varying hairstyles to analyze dosimetric differences. Water equivalent depth and distance from 80% isodose line to user origin were analyzed for each scan and compared.

Results: No statistically significant differences were observed between the no hair scan …

High-Dose Intravenous Vitamin C Combined With Docetaxel In Men With Metastatic Castration-Resistant Prostate Cancer: A Randomized Placebo-Controlled Phase Ii Trial, Channing Paller, Marianna Zahurak, Adel Mandl, Nicole Metri, Aliya Lalji, Elisabeth Heath, William Kelly, Christopher Hoimes, Pedro Barata, Jason Taksey, Dominique Garrison, Kartick Patra, Ginger Milne, Nicole Anders, Julie Nauroth, Jennifer Durham, Catherine Marshall, Mark Markowski, Mario Eisenberger, Emmanuel Antonarakis, Michael Carducci, Samuel Denmeade, Mark Levine

Department of Medicine Faculty Papers

UNLABELLED: High-dose intravenous vitamin C (HDIVC) administered to produce pharmacologic concentrations shows promise in preclinical models and small clinical trials, but larger prospective randomized trials are lacking. We evaluated the clinical benefit of combining HDIVC with docetaxel in patients with progressive metastatic castration-resistant prostate cancer (mCRPC). In this double-blind, placebo-controlled phase II trial, 47 patients were randomized 2:1 to receive docetaxel (75 mg/m2 i.v.) with either HDIVC (1 g/kg) or placebo. Coprimary endpoints were PSA50 response and adverse event rates. Secondary endpoints included overall survival, radiographic progression-free survival, and quality of life measured using the Functional Assessment of Cancer Therapy-Prostate …

Advanced Visualization In Minimally Invasive Spine Surgery: The Ergonomics, Economics, And Evolution Of Camera-Based Tubes And Retractors, Advith Sarikonda, Ahilan Sivaganesan, Sheeraz Qureshi

SKMC Student Presentations and Publications

BACKGROUND: Tubular spine surgery has emerged as a hallmark of minimally invasive spine (MIS) procedures. In recent years, thanks to technological advances, tubular dilators and retractors have been integrated with digital cameras to allow for ergonomic, high-definition visualization of the surgical field.

OBJECTIVE: To detail the evolution, ergonomics, economics, and outcomes of camera-based tubular spine surgery, spanning the origins of MIS tubular techniques to the current use of operative microscopes and tube-mounted digital cameras (TMDCs).

METHODS: This is a narrative review of studies examining the evolution of tubular spine surgery as well as its most recent advances, with a particular …

Functional Contribution Of Epithelial To Mesenchymal Transition Program On Krasg12d Targeting Efficacy In Pancreatic Cancer, Ana S. Maldonado

Dissertations and Theses (Open Access)

Functional contribution of epithelial to mesenchymal transition program on KRAS^G12D targeting efficacy in pancreatic cancer

Ana S. Maldonado, BS

Advisory Professor: Raghu Kalluri, M.D., Ph.D.

Pancreatic Ductal Adenocarcinoma (PDAC), a highly aggressive, metastatic, and therapeutically resistant form of pancreatic cancer has been projected to become the second-leading cause of cancer related mortality in the United States. This is driven by its detection difficulty, treatment efficacy, and asymptomatic nature, among other factors. PDAC is driven predominantly by KRAS^G12D mutations, which are responsible for the initial development of pancreatic intraepithelial neoplasia (Pan-IN) lesions, that are further maintained and progressed until …

Technical Considerations In Robotic Aberrant Right Subclavian Artery Resection For Dysphagia Lusoria, Luke Meredith, Emily Isch, Mohammed Ali, Michael Nooromid, Olugbenga Okusanya

Department of Surgery Faculty Papers

Dysphagia lusoria occurs due to compression of the esophagus as an aberrant right subclavian artery (ARSA) crosses the mediastinum. Surgical management includes open, hybrid, and endovascular techniques, with no consensus gold standard. There are few reports of robotic-assisted ARSA resection. We describe the innovative technique and outcomes for two patients who successfully underwent robotic-assisted transthoracic resection of an ARSA after right carotid–subclavian bypass for dysphagia lusoria. Both patients experienced improvement or resolution of their dysphagia and no major complications. In select patients with a noncalcified origin of the ARSA without aneurysmal degeneration, the robotic-assisted approach represents a viable option.

Development Of Feature Extraction Models To Improve Image Analysis Applications In Cancer, Yu Shi

Dissertations and Doctoral Documents, University of Nebraska-Lincoln, 2023–

Cancer poses a significant global health challenge. With an estimated 20 million new cases diagnosed worldwide in 2022 and 9.7 million fatalities attributable to the disease, the economic burden of cancer is immense. It impacts healthcare systems and imposes substantial costs for its care on patients and their families. Despite advancements in early detection, prevention, and treatment that have reduced overall cancer mortality rates, the growing prevalence of cancer, particularly among younger individuals, remains a pressing issue.

Recent advancements in medical imaging technology have progressed significantly with the help of emerging computer vision and artificial intelligence (AI) technology. Despite these …

Transformer-Based Deep Learning Prediction Of 10-Degree Humphrey Visual Field Tests From 24-Degree Data, Min Shi, Anagha Lokhande, Yu Tian, Yan Luo, Mohammad Eslami, Saber Kazeminasab, Tobias Elze, Lucy Shen, Louis Pasquale, Sarah Wellik, Carlos Gustavo De Moraes, Jonathan Myers, Nazlee Zebardast, David Friedman, Michael Boland, Mengyu Wang

Wills Eye Hospital Papers

PURPOSE: To predict 10-2 Humphrey visual fields (VFs) from 24-2 VFs and associated non-total deviation features using deep learning.

METHODS: We included 5189 reliable 24-2 and 10-2 VF pairs from 2236 patients, and 28,409 reliable pairs of macular OCT scans and 24-2 VF from 19,527 eyes of 11,560 patients. We developed a transformer-based deep learning model using 52 total deviation values and nine VF test features to predict 68 10-2 total deviation values. The mean absolute error, root mean square error, and the R2 were evaluation metrics. We further evaluated whether the predicted 10-2 VFs can improve the structure-function relationship …

High Prevalence Of Artifacts In Optical Coherence Tomography With Adequate Signal Strength, Wei-Chun Lin, Aaron Coyner, Charles Amankwa, Abigail Lucero, Gadi Wollstein, Joel Schuman, Hiroshi Ishikawa

Wills Eye Hospital Papers

PURPOSE: This study aims to investigate the prevalence of artifacts in optical coherence tomography (OCT) images with acceptable signal strength and evaluate the performance of supervised deep learning models in improving OCT image quality assessment.

METHODS: We conducted a retrospective study on 4555 OCT images from 546 patients, with each image having an acceptable signal strength (≥6). A comprehensive analysis of prevalent OCT artifacts was performed, and five pretrained convolutional neural network models were trained and tested to infer images based on quality.

RESULTS: Our results showed a high prevalence of artifacts in OCT images with acceptable signal strength. Approximately …

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 …

Staged Endovascular And Open Surgical Approach For Treatment Of A Giant Left Upper Back Arteriovenous Malformation, Nitya Venkat, Avinash Saraiya, M. Irfan Ali, Matthew Jenkins, Stavropoula Tjoumakaris, Babak Abai

Department of Surgery Faculty Papers

We present a case of a symptomatic, giant, left upper back arteriovenous malformation that was treated through a staged endovascular and open approach. Through a series of embolizations, followed by resection, we were able to preserve the limb and upper back neurovascular supply, demonstrating an approach to preserve sensation and function and improving quality of life.

Nanoparticle-Based Approaches To Brain Injury And Studies For Improved Detectability Toward Better Delivery Characterization, Hunter A. Miller

Dissertations and Doctoral Documents, University of Nebraska-Lincoln, 2023–

The clinical translation of nanoparticle (NP) therapeutics for brain injury has been slow despite preclinical promise. The causes of disconnect between preclinical and clinical outcomes is multifactorial, but insufficient delivery is noteworthy. Preclinical delivery characterization often lacks, obscuring mechanisms of failure, slowing development. Multimodal imaging is a promising strategy to improve delivery characterization, combining the strengths of various modalities. Magnetic resonance imaging (MRI) and luminescence imaging are a suitable combination for multimodal imaging, expanding the spatial and temporal resolution of either alone, but further material development is needed to enhance detectability. One problem is the interference of cellular autofluorescence in …

Comparison Of Clinical Outcomes After Medial Patellofemoral Ligament Reconstruction With Allograft Versus Autograft: A Matched-Cohort Analysis, Jeffrey Henstenburg, Josuhu Pezzulo, Dominic Farronato, Emma Johnson, John Bodnar, Philip Petrucelli, Christopher Dodson, Kevin Freedman, Steven Cohen, Sommer Hammoud

Rothman Institute Papers

BACKGROUND: Disruption of the medial patellofemoral ligament (MPFL) may lead to recurrent lateral patellar dislocation and patellofemoral chondral injury. Despite significant previous work investigating numerous performance parameters, the optimal graft choice for MPFL reconstruction for patellar instability remains unclear.

PURPOSE: To compare functional outcomes scores, subjective recurrent instability, and revision rates between autograft and allograft in MPFL reconstruction.

STUDY DESIGN: Cohort study; Level of evidence, 3.

METHODS: Patients who underwent MPFL reconstruction with autograft between 2013 and 2018 were identified. A 2:1 comparison group of patients who underwent MPFL reconstruction with allograft was matched by sex, age (±3 years), and …

Treatment Of Large Intracranial Aneurysms Using The Woven Endobridge (Web): A Propensity Score-Matched Analysis, Basel Musmar, Hamza Salim, Nimer Adeeb, Assala Aslan, Bahaa Aljeradat, Jose Diestro, Rachel Mclellan, Oktay Algin, Sherief Ghozy, Mahmoud Dibas, Sovann Lay, Adrien Guenego, Leonardo Renieri, Nicole Cancelliere, Joseph Carnevale, Guillaume Saliou, Panagiotis Mastorakos, Kareem El Naamani, Eimad Shotar, Kevin Premat, Markus Möhlenbruch, Michael Kral, Justin Vranic, Charlotte Chung, Mohamed Salem, Ivan Lylyk, Paul Foreman, Jay Vachhani, Hamza Shaikh, Vedran Župančić, Muhammad Hafeez, Joshua Catapano, Muhammad Waqas, Vincent Tutino, Mohamed Ibrahim, Marwa Mohammed, M. Ozgur Ozates, Giyas Ayberk, James Rabinov, Yifan Ren, Clemens Schirmer, Mariangela Piano, Anna Kühn, Caterina Michelozzi, Stéphanie Elens, Robert Starke, Ameer Hassan, Mark Ogilvie, Anh Nguyen, Jesse Jones, Waleed Brinjikji, Marie Nawka, Marios Psychogios, Christian Ulfert, Julian Spears, Brian Jankowitz, Jan-Karl Burkhardt, Ricardo Domingo, Thien Huynh, Juan Carlos Martinez-Gutierrez, Muhammed Essibayi, Sunil Sheth, Gary Spiegel, Rabih Tawk, Boris Lubicz, Pietro Panni, Ajit Puri, Guglielmo Pero, Erez Nossek, Eytan Raz, Monika Killer-Oberfalzer, Christoph Griessenauer, Hamed Asadi, Adnan Siddiqui, Allan Brook, David Altschul, Andrew Ducruet, Felipe Albuquerque, Robert Regenhardt, Christopher Stapleton, Peter Kan, Vladimir Kalousek, Pedro Lylyk, Srikanth Boddu, Jared Knopman, Mohammad A Aziz-Sultan, Stavropoula Tjoumakaris, Frédéric Clarençon, Nicola Limbucci, Hugo Cuellar-Saenz, Pascal Jabbour, Vitor Pereira, Aman Patel, Adam Dmytriw

Department of Neurosurgery Faculty Papers

The Woven EndoBridge (WEB) device is primarily used for treating wide-neck intracranial bifurcation aneurysms under 10 mm. Limited data exists on its efficacy for large aneurysms. We aim to assess angiographic and clinical outcomes of the WEB device in treating large versus small aneurysms. We conducted a retrospective review of the WorldWide WEB Consortium database, from 2011 to 2022, across 30 academic institutions globally. Propensity score matching (PSM) was employed to compare small and large aneurysms on baseline characteristics. A total of 898 patients were included. There was no significant difference observed in clinical presentations, smoking status, pretreatment mRS, presence …

Leveraging Generative Artificial Intelligence Models In Patient Education On Inferior Vena Cava Filters, Som Singh, Aleena Jamal, Farah Qureshi, Rohma Zaidi, Fawad Qureshi

SKMC Student Presentations and Publications

Background: Inferior Vena Cava (IVC) filters have become an advantageous treatment modality for patients with venous thromboembolism. As the use of these filters continues to grow, it is imperative for providers to appropriately educate patients in a comprehensive yet understandable manner. Likewise, generative artificial intelligence models are a growing tool in patient education, but there is little understanding of the readability of these tools on IVC filters. Methods: This study aimed to determine the Flesch Reading Ease (FRE), Flesch–Kincaid, and Gunning Fog readability of IVC Filter patient educational materials generated by these artificial intelligence models. Results: The ChatGPT cohort had …