Large-Bore Mechanical Thrombectomy Versus Catheter-Directed Thrombolysis In The Management Of Intermediate-Risk Pulmonary Embolism: Primary Results Of The Peerless Randomized Controlled Trial,
2025
Thomas Jefferson University
Large-Bore Mechanical Thrombectomy Versus Catheter-Directed Thrombolysis In The Management Of Intermediate-Risk Pulmonary Embolism: Primary Results Of The Peerless Randomized Controlled Trial, Wissam Jaber, Carin Gonsalves, Stefan Stortecky, Samuel Horr, Orestis Pappas, Ripal Gandhi, Keith Pereira, Jay Giri, Sameer Khandhar, Khawaja Afzal Ammar, David Lasorda, Brian Stegman, Lucas Busch, David Dexter, Ezana Azene, Nikhil Daga, Fakhir Elmasri, Chandra Kunavarapu, Mark Rea, Joseph Rossi, Joseph Campbell, Jonathan Lindquist, Adam Raskin, Jason Smith, Thomas Tamlyn, Gabriel Hernandez, Parth Rali, Torrey Schmidt, Jeffrey Bruckel, Juan Camacho, Jun Li, Samy Selim, Catalin Toma, Sukhdeep Singh Basra, Brian Bergmark, Bhavraj Khalsa, David Zlotnick, Jordan Castle, David O'Connor, C. Michael Gibson
Department of Radiology Faculty Papers
BACKGROUND: There are a lack of randomized controlled trial data comparing outcomes of different catheter-based interventions for intermediate-risk pulmonary embolism.
METHODS: PEERLESS is a prospective, multicenter, randomized controlled trial that enrolled 550 patients with intermediate-risk pulmonary embolism with right ventricular dilatation and additional clinical risk factors randomized 1:1 to treatment with large-bore mechanical thrombectomy (LBMT) or catheter-directed thrombolysis (CDT). The primary end point was a hierarchal win ratio composite of the following (assessed at the sooner of hospital discharge or 7 days after the procedure): (1) all-cause mortality, (2) intracranial hemorrhage, (3) major bleeding, (4) clinical deterioration and/or escalation to …
Durable Responses To Immune Checkpoint Inhibitor-Based Regimens For Metastatic Clear Cell Renal Cell Carcinoma Stratified By Imdc Risk Groups: A Pooled Analysis Of Four Randomized Phase 3 Trials,
2025
Thomas Jefferson University
Durable Responses To Immune Checkpoint Inhibitor-Based Regimens For Metastatic Clear Cell Renal Cell Carcinoma Stratified By Imdc Risk Groups: A Pooled Analysis Of Four Randomized Phase 3 Trials, Albert Jang, Jeffrey Y. Zhong, Hamsa L.S. Kumar, Kevin K. Zarrabi, Alec Zhu, Abby L. Grier, Adam Calaway, Jonathan E. Shoag, Laura Bukavina, Angela Y. Jia, Prateek Mendiratta, Iris Y. Sheng, Santosh Rao, Jason R. Brown, Jorge A. Garcia, Seunghee Margevicius, Pingfu Fu, Pedro C. Barata
Department of Medical Oncology Faculty Papers
Background: An immune checkpoint inhibitor (ICI) backbone is a standard of care for frontline metastatic clear cell renal cell carcinoma, involving either ICI doublet or tyrosine kinase inhibitor (TKI) with ICI. These phase 3 trials used a sunitinib control arm. The optimal regimen is uncertain. Objective: To compare long-term responders of these trials using extended follow-up data stratified by International Metastatic RCC Database Consortium risk group. Methods: Phase 3 trial data (CheckMate 214, KEYNOTE-426, CheckMate 9ER, and CLEAR) with a minimum follow-up of four years was used. Pseudo individual patient data (IPD) was obtained from Kaplan-Meier curves using the graph …
Patient-Reported Outcomes: Comparing Functional Avoidance And Standard Thoracic Radiation Therapy In Lung Cancer,
2025
Thomas Jefferson University
Patient-Reported Outcomes: Comparing Functional Avoidance And Standard Thoracic Radiation Therapy In Lung Cancer, Spencer Poiset, Joseph Lombardo, Edward Castillo, Richard Castillo, Bernard Jones, Moyed Miften, Brian Kavanagh, Adam Dicker, Cullen Boyle, Nicole Simone, Benjamin Movsas, Inga Grills, Chad Rusthoven, Yevgeniy Vinogradskiy, Lydia Wilson
Department of Radiation Oncology Faculty Papers
PURPOSE: Novel methods generate functional images using image processing techniques combined with four-dimensional computed tomography (4DCT) data (4DCT-ventilation). 4DCT-ventilation was implemented in a phase II, multicenter functional avoidance clinical trial. The work compares functional avoidance patient-reported outcomes (PROs) against historical standards.
METHODS: Patients with locally advanced lung cancer undergoing curative-intent chemoradiation were accrued. 4DCT-ventilation imaging was generated and functional avoidance treatment plans created reduced dose to functional lung. PRO instruments included Functional Assessment of Cancer Therapy Lung questionnaire and accompanying subscales (including the Trial Outcome Index [TOI]), EuroQol-5 Dimension (EQ-5D), and EQ-Visual Analog Scale (EQ-VAS). The average change from baseline …
Atypical Presentation Of Non-Small Cell Lung Carcinoma With Metastasis To Breast Tissue,
2025
Marshall University Joan C. Edwards School of Medicine
Atypical Presentation Of Non-Small Cell Lung Carcinoma With Metastasis To Breast Tissue, Tylar P. Seckman, Diane Krutzler-Berry, Mohamed Ashal, Waqas Mahmud, Krista L. Denning, Logan M. Lawrence
Marshall Journal of Medicine
Malignant neoplasms of the lung commonly metastasize to lymph nodes, bone, brain, and liver via hematogenous and lymphatic routes. Much less commonly, metastasis occurs in the breast. Secondary metastatic disease of the breast is very rare, with a reported incidence ranging from 0.4-1.3%—with primary lung cancer being one of the most anomalous sources. This case details non-small cell lung cancer metastasis to the breast with proven primary contralateral lung origination. This atypical finding prompts medical professionals to consider these malignant cells' immunologic, histologic, and pathologic makeup to understand further and treat the neoplasm.
Visual Artificial Intelligence In Healthcare: A Revolution In Making,
2025
Professor and Head, Department of Oral and Maxillofacial Surgery KLE VK Institute of Dental Sciences and Hospital, KLE Academy of Higher Education and Research(KAHER) Belgaum-590010, Karnataka- INDIA
Visual Artificial Intelligence In Healthcare: A Revolution In Making, Sanjay S. Rao, Punnya. V. Angadi
Indian Journal of Health Sciences and Biomedical Research KLEU
Visual artificial intelligence (AI) is a branch of computer science that teaches robots to understand images and visual information similarly to how humans do. According to the algorithm's development, visual AI allows robots to do more than just perceive; it also allows them to understand and sense the meaning behind images. Because of the enormous progress made in this area, computers are now able to recognize and interpret images more accurately than humans. From managing medical data to enhancing care delivery through AI-assisted diagnosis, visual AI has a broad impact on healthcare. By building devices and tools that can learn, …
A Guide To Diagnosis And Management Of Hypertrichosis,
2025
LSU Health Sciences Center - New Orleans
A Guide To Diagnosis And Management Of Hypertrichosis, Rahib K. Islam, Victoria T. Tong, Shari R. Lipner
School of Medicine Faculty Publications
Hypertrichosis is a phenotype characterized by excessive hair growth in areas not typically prone to dense hair coverage. It may be congenital or acquired, and has significant clinical and psychosocial implications, often leading to psychological distress and social stigmatization. Diagnostic approaches emphasize the importance of thorough clinical evaluation and differentiation from hirsutism. Treatment options include topical and systemic treatments, as well as mechanical methods and laser therapies. Special considerations are given to pediatric patients regarding the psychosocial aspects of the phenotype. This review aims to provide physicians and researchers with a thorough understanding of hypertrichosis to facilitate better diagnosis, treatment, …
Network Analysis Of Headache Diagnoses Using International Classification Of Headache Disorders, 3rd Edition,
2025
Thomas Jefferson University
Network Analysis Of Headache Diagnoses Using International Classification Of Headache Disorders, 3rd Edition, Pengfei Zhang, Thomas Berk
College of Nursing Faculty Papers & Presentations
BACKGROUND AND OBJECTIVE: The International Classification of Headache Disorders, Third Edition (ICHD-3), significantly influences clinicians' understanding of headache disorders. In this study, we aim to elucidate how the hierarchical structure of ICHD-3 shapes the understanding of interconnectivity among headache disorders.
METHODS: A network comprises elements known as "nodes," with the connections between them referred to as "edges." In our study, a node represents a headache diagnosis that meets at least one ICHD-3 diagnostic criterion of the ICHD-3. We developed two network models for ICHD-3: a non-hierarchical model, where edges are only formed by cross-references found within the text of diagnoses, …
Deep Learning-Based Auto-Segmentation For Liver Yttrium-90 Selective Internal Radiation Therapy,
2025
Thomas Jefferson University
Deep Learning-Based Auto-Segmentation For Liver Yttrium-90 Selective Internal Radiation Therapy, Jun Li, Wookjin Choi, Rani Anne
Department of Radiation Oncology Faculty Papers
The aim was to evaluate a deep learning-based auto-segmentation method for liver delineation in Y-90 selective internal radiation therapy (SIRT). A deep learning (DL)-based liver segmentation model using the U-Net3D architecture was built. Auto-segmentation of the liver was tested in CT images of SIRT patients. DL auto-segmented liver contours were evaluated against physician manually-delineated contours. Dice similarity coefficient (DSC) and mean distance to agreement (MDA) were calculated. The DL-model-generated contours were compared with the contours generated using an Atlas-based method. Ratio of volume (RV, the ratio of DL-model auto-segmented liver volume to manually-delineated liver volume), and ratio of activity (RA, …
Pulmonary Pathology In Culture-Negative Sepsis: A Potential Confounder For Sepsis Treatment And Research,
2025
Thomas Jefferson University
Pulmonary Pathology In Culture-Negative Sepsis: A Potential Confounder For Sepsis Treatment And Research, Brett Biebelberg
SKMC Student Presentations and Publications
No abstract provided.
Use Of Multi-Modal Non-Contrast Mri To Predict Functional Outcomes After Stroke: A Study Using Dp-Pcasl, Dti, Noddi, And Map Mri,
2025
Thomas Jefferson University
Use Of Multi-Modal Non-Contrast Mri To Predict Functional Outcomes After Stroke: A Study Using Dp-Pcasl, Dti, Noddi, And Map Mri, Julia Diamandi, Christian Raimondo, Keenan Piper, Joanna Roy, Stephanie Serva, Mahdi Alizadeh, Adam Flanders, Stavropoula Tjoumakaris, Michael Gooch, Pascal Jabbour, Robert Rosenwasswer, Nikolaos Mouchtouris
Department of Neurosurgery Faculty Papers
PURPOSE: This study aims to assess whether water exchange rate (kw), a surrogate for blood-brain barrier (BBB) permeability, is associated with functional outcomes in patients with acute ischemic stroke (AIS).
METHODS: We studied 22 AIS patients enrolled from 1/2022 to 4/2024 who underwent multi-modal non-contrast imaging on a 3.0-Tesla scanner, including DP-pCASL, DTI, NODDI and MAP imaging. For each parametric map, the intensity and standard deviation (SD) were calculated for the infarcted region. The diffusion maps included were b0, Fractional Anisotropy (FA), Mean Diffusivity (MD), Intra-cellular Volume Fraction (ICVF), Free Water Fraction (FWF), and Orientation Dispersion Index (ODI), …
Superotemporal Predisposition To Traumatic Subretinal Fibrosis In Stargardt Disease: A Case Report,
2025
Thomas Jefferson University
Superotemporal Predisposition To Traumatic Subretinal Fibrosis In Stargardt Disease: A Case Report, Jaime Nassur, Jose Pulido, Jose Pulido, Alaa Ghoneim, Anton Orlin, Richard Kaiser, Saif Hamdan
Wills Eye Hospital Papers
PURPOSE: Subretinal fibrosis has been reported as a presumed late sequela of orbital trauma in those with Stargardt disease (STGD). This case report highlights the sequential pathologic changes in response to trauma utilizing multimodal imaging.
OBSERVATIONS: An asymptomatic 19-year-old female with no significant ocular history presented for possible drusen. Initial imaging noted yellow-white pisciform perifoveal flecks in both eyes with corresponding hyper-and hypo-fluorescent lesions on fundus autofluorescence and hyperreflective deposits on near-infrared and spectral-domain optical coherence tomography (SD-OCT). A few months later, the patient presented with a new onset "black shadow" in the right eye after a traumatic periorbital injury, …
Adenosine-Sensitive Upper Septal Fascicular Ventricular Tachycardia Associated With Takotsubo Syndrome,
2025
Thomas Jefferson University
Adenosine-Sensitive Upper Septal Fascicular Ventricular Tachycardia Associated With Takotsubo Syndrome, Parker O'Neill, Daniel Underberg, Reginald Ho, Darius Farzad, Gregary Marhefka
Department of Medicine Faculty Papers
We describe a rare case of upper septal fascicular ventricular tachycardia (VT) associated with takotsubo syndrome that failed to convert with synchronized shock but converted to normal sinus rhythm after intravenous adenosine administration. The excess catecholamine state of takotsubo syndrome likely provided substrate for cyclic adenosine monophosphate–mediated triggered activity, causing fascicular VT.
Clinical Evaluation Of A Markerless Motion Capture Technology: Reliability And Usability For Musculoskeletal Assessment,
2025
University of South Dakota, Sanford School of Medicine
Clinical Evaluation Of A Markerless Motion Capture Technology: Reliability And Usability For Musculoskeletal Assessment, Meghan E. Garvey, Jeremy D. Hernandez, Philimon Nyakauru Gona, Matthew J. Schmitz, Brant Hannahs, Daniel E. Highland, Donald J. Kosiak Jr
Aesculapius Journal (Health Sciences & Medicine)
BACKGROUND While various technologies have recently emerged as prominent tools in healthcare, particularly for augmenting screening and diagnostic processes, evaluations of their accuracy and reliability within clinical musculoskeletal (MSK) settings remain limited.
METHODS This was a cross-sectional clinical evaluation and usability study of a markerless motion capture system (MMCS) compared with the standard of care using a manual goniometer in a healthy adult population. Ten range of motion (ROM) measurements (degrees) were taken on the same participant using both methods. Active, passive, and 3-repeat active joint ROM measurements were taken for the right and left sides. Mean paired differences between …
A Proposed Mhealth Intervention To Address Patient Barriers To Colposcopy Attendance: Qualitative Interview Study Of Clinic Staff And Patient Perspectives,
2025
Thomas Jefferson University
A Proposed Mhealth Intervention To Address Patient Barriers To Colposcopy Attendance: Qualitative Interview Study Of Clinic Staff And Patient Perspectives, Jennifer Hemler, Rachel Wagner, Brittany Sullivan, Myneka Macenat, Erin Tagai, Jazmarie Vega, Enrique Hernandez, Suzanne Miller, Kuang-Yi Wen, Charletta Ayers, Mark Einstein, Shawna Hudson, Racquel Kohler
Department of Medical Oncology Faculty Papers
BACKGROUND: Cervical cancer disparities persist among minoritized women due to infrequent screening and poor follow-up. Structural and psychosocial barriers to following up with colposcopy are problematic for minoritized women. Evidence-based interventions using patient navigation and tailored telephone counseling, including the Tailored Communication for Cervical Cancer Risk (TC3), have modestly improved colposcopy attendance. However, the efficacious TC3 intervention is human resource-intense and could have greater reach if adapted for mobile health, which increases convenience and access to health information.
OBJECTIVE: This study aimed to describe feedback from clinic staff members involved in colposcopy processes and patients referred for colposcopy regarding adaptions …
Residual Traditional Risk In Non-Traditional Atherosclerotic Diseases,
2025
Thomas Jefferson University
Residual Traditional Risk In Non-Traditional Atherosclerotic Diseases, Federico Biscetti, Giorgia Polito, Maria Margherita Rando, Maria Anna Nicolazzi, Luis H. Eraso, Paul J. Dimuzio, Massimo Massetti, Antonio Gasbarrini, Andrea Flex
Department of Surgery Faculty Papers
Individuals with chronic inflammatory and immune disorders are at an increased risk of atherosclerotic events and premature cardiovascular (CV) disease. Despite extensive literature exploring the relationship between "non-traditional" atherosclerotic conditions and CV risk, many aspects remain unresolved, including the underlying mechanisms promoting the "non-traditional CV risk", the development of an innovative and comprehensive CV risk assessment tool, and recommendations for tailored interventions. This review aims to evaluate the available evidence on key "non-traditional" CV risk-enhancer conditions, with a focus on assessing and managing CV risk factors. We conducted a comprehensive review of 412 original articles, narrative and systematic reviews, and …
Multiparametric Mri Along With Machine Learning Predicts Prognosis And Treatment Response In Pediatric Low-Grade Glioma,
2025
Thomas Jefferson University
Multiparametric Mri Along With Machine Learning Predicts Prognosis And Treatment Response In Pediatric Low-Grade Glioma, Anahita Fathi Kazerooni, Adam Kraya, Komal Rathi, Meen Chul Kim, Arastoo Vossough, Nastaran Khalili, Ariana Familiar, Deep Gandhi, Neda Khalili, Varun Kesherwani, Debanjan Haldar, Hannah Anderson, Run Jin, Aria Mahtabfar, Sina Bagheri, Yiran Guo, Qi Li, Xiaoyan Huang, Yuankun Zhu, Alex Sickler, Matthew R Lueder, Saksham Phul, Mateusz Koptyra, Phillip Storm, Jeffrey Ware, Yuanquan Song, Christos Davatzikos, Jessica Foster, Sabine Mueller, Michael J Fisher, Adam Resnick, Ali Nabavizadeh
Department of Neurosurgery Faculty Papers
Pediatric low-grade gliomas (pLGGs) exhibit heterogeneous prognoses and variable responses to treatment, leading to tumor progression and adverse outcomes in cases where complete resection is unachievable. Early prediction of treatment responsiveness and suitability for immunotherapy has the potential to improve clinical management and outcomes. Here, we present a radiogenomic analysis of pLGGs, integrating MRI and RNA sequencing data. We identify three immunologically distinct clusters, with one group characterized by increased immune activity and poorer prognosis, indicating potential benefit from immunotherapies. We develop a radiomic signature that predicts these immune profiles with over 80% accuracy. Furthermore, our clinicoradiomic model predicts progression-free …
Validation Of The Distress Thermometer In A Mexican Population With Brain Tumors: A Diagnostic Accuracy Study,
2025
1. Radiosurgery Unit, Instituto Nacional de Neurología y Neurocirugía, Mexico City, Mexico
Validation Of The Distress Thermometer In A Mexican Population With Brain Tumors: A Diagnostic Accuracy Study, Dan Morgenstern-Kaplan, Sergio Moreno-Jiménez, Fernanda Páez-Plascencia, Angel Ruiz-Chow, Fabiola Flores-Vázquez
Archives of Neurosurgery
Objective: Mental health in cancer patients must be addressed. This study's main objective was to evaluate the sensitivity and specificity of the DT in a population of patients with brain tumors and determine the optimal cut-off point for the DT. Methods: We performed a cross-sectional study at the National Institute of Neurology and Neurosurgery in Mexico City, in a cohort of 110 patients. Results: Of the 108 participants with brain tumors that were included in the analysis (2 patients excluded by incomplete DT), 40 had gliomas, 31 had pituitary adenomas, 21 had meningiomas, and 16 had other types of tumors. …
Extrinsic Motivation Enhances Clinical Ultrasound Utilization Amongst Residents,
2025
HCA Healthcare
Extrinsic Motivation Enhances Clinical Ultrasound Utilization Amongst Residents, Bailey Spencer, Steven Rickett, Jacob Pope, Sanna Ho-Gotshall, Casey Wilson
South Atlantic Division GME Research Day 2025
No abstract provided.
The Impacts Of Artificial Intelligence In Radiology,
2025
Marshall University
The Impacts Of Artificial Intelligence In Radiology, Misty Farmer, Wendy Trzyna
Theses, Dissertations and Capstones
Introduction: There has been significant growth in the use of Artificial Intelligence (AI) in the healthcare industry, especially in Medical Imaging. Radiology has been the clear frontrunner in the adoption of AI in medicine, due in part to the massive amount of digital data available for use in Deep Learning (DL) AI integration has the potential to solve multiple challenges in radiology, address workload issues and transform the field.
Purpose of the Study: The purpose of the research was to evaluate the impact of implementing Artificial Intelligence in radiology to determine if these technologies have had an impact …
Exosomes And Encapsulated Exomirs In Breast Cancer: Theragnostic Applications And Clinical Implications,
2025
University of Central Punjab
Exosomes And Encapsulated Exomirs In Breast Cancer: Theragnostic Applications And Clinical Implications, Muhammad Imran Sajid, Shafia Bukhari, Hamid Ilyas, Rubina Malik, Minahil Fatima, Rakesh Kumar Tiwari, Surya M. Nauli, Khawaja Husnain Haider
Pharmacy Faculty Books and Book Chapters
Exosomes, released by cells, are small vesicles that have emerged as critical theranostic tools in breast cancer due to their unique ability to transport diverse biomolecules such as proteins, lipids, and RNAs, including microRNAs (ExomiRs). These vesicles are critical in modulating the tumor microenvironment, driving processes like cancer proliferation, invasion, metastasis, and drug resistance. Exosomal microRNAs such as ExomiR-21, ExomiR-1246, and ExomiR-155, with their profound influence on the gene expressions in the recipient cells, are the unsung heroes in tumor progression and immune modulation. This chapter delves into exosome's dual diagnostic and therapeutic potential in breast cancer. It highlights their …
