Digital Commons Network^™

Understanding Practices Of Lactation And Infant Feeding Together With Women With Hiv: The Uplift Observational Study Protocol, Christiana Smith, Emily Anne Barr, Karen Hampanda, Mark Trumbull, Hulin Wu, Jennifer Mckinney, Sarah Buisson, Carly Hoffmann, Ciarra Brown, Angela B Hutchinson, K Rivet Amico, Ifeyinwa V Asiodu, Elizabeth J Mcfarland, Margaret A Lampe, Preetam A Cholli, Olga Varechtchouk, Allahna Esber, Athena P Kourtis, Lisa Abuogi

Faculty, Staff and Student Publications

Introduction: There is a limited understanding of infant feeding decisions, practices, and outcomes for women living with HIV (WLHIV) and their infants since U.S. guidelines were updated in 2023 to support breastfeeding for virally suppressed women on antiretroviral treatment.

Methods and analysis: The Understanding Practices of Lactation and Infant Feeding Together with women with HIV (UPLIFT) study is a convergent mixed-methods, multisite, observational study designed to address key knowledge gaps. Twelve US sites will begin enrollment in early 2026 to accomplish three core activities (CA). In CA1, we explore infant feeding decision-making and experiences via in-depth interviews with pregnant/postpartum WLHIV …

Correction: Feasibility Of Conducting A Pilot Randomized Trial Of A Mindfulness-Based Intervention Among Sheltered Young Adults Experiencing Homelessness, Diane Santa Maria, Paula Cuccaro, Erica Sibinga, Kimberly Bender, Ethel Jacko, Widumini Liyanage, Jennifer Jones, Stanley Cron

Faculty, Staff and Student Publications

This corrects the article "Feasibility of conducting a pilot randomized trial of a mindfulness-based intervention among sheltered young adults experiencing homelessness" in volume 16, 1649664.

Recent Abdominal Surgery As A Risk Factor For Unfavorable Immune-Mediated Colitis Outcomes, Rohan Ahuja, Malek Shatila, Jay Shah, Cristina Natha, Varun Vemulapalli Mdi, Nitish Mittal, Jasmine Mikal Haydel, Irene Jeong-Ah Lee, Andres Caleb Urias Rivera, Carolina Colli Cruz, Bryan Schneider, Shilpa Grover, Aliyah Pabani, Anusha S Thomas, Yinghong Wang

Faculty, Staff and Student Publications

Background and aims: Risk factors for immune checkpoint inhibitor (ICI) therapy enterocolitis (IMC) have not been greatly explored. Abdominal surgery can reduce bacterial diversity, increase the presence of pathogenic bacteria, and lead to inflammatory changes. This retrospective analysis seeks to determine if a history of recent abdominal surgery in patients who receive ICI therapy affects the severity and duration of enterocolitis.

Methods: We retrospectively reviewed patients with history of abdominal surgeries, who received ICI for cancers and then developed IMC. Clinical profiles, oncology variables, and colitis-related characteristics were reported.

Results: Seven hundred sixty-five patients met the inclusion criteria. Patients median …

Evaluating Differences In Nonsyndromic Orofacial Clefts By Infant Sex: National Birth Defects Prevention Study, 1997-2011, Victoria A Salinas, Natalie P Archer, Layla R Lustri, Katherine L Ludorf, Timothy Ihongbe, Wei Yang, Eva M Williford, Marilyn L Browne, Adrian M Michalski, Lindsay A Williams, Wendy Nembhard, Eirini Nestoridi, Gary M Shaw, Andrew F Olshan, A J Agopian, National Birth Defects Prevention Study

Faculty, Staff and Student Publications

Objective: To investigate nongenetic factors that may contribute to observed differences in nonsyndromic orofacial clefts by infant sex.

Study design: Using data for 1997-2011 deliveries from the National Birth Defects Prevention Study, a case-control study, we separately examined associations between 23 maternal factors and cleft lip with or without cleft palate (CL/P) and cleft palate alone (CP) using multivariable logistic regression stratified by infant sex.

Results: We compared 2986 infants with CL/P and 1557 with CP to 11 271 control infants without birth defects. After adjusting for maternal age at conception and education, lower odds of nonsyndromic orofacial clefts were …

An Integrated Lifestyle-, Genetic- And Metabolomics-Based Prediction Model For Mild Cognitive Aging In The Hchs/Sol, Annah B Wyss, Yana Hrytsenko, Linfeng Hu, Iris J Broce, Robert C Kaplan, Wassim Tarraf, Bing Yu, Eric Boerwinkle, Qibin Qi, Myriam Fornage, Charles Decarli, Hector M González, Tamar Sofer

Faculty, Staff and Student Publications

Prediction models for cognitive aging measures have largely evaluated demographic variables and APOE carrier status in populations of European ancestry. To comprehensively assess prediction models among Hispanic/Latinos, we considered 12 models (6 predictor sets and 2 methods) for global cognitive score change (GCSC) and mild cognitive impairment (MCI) in the Study of Latinos-Investigation of Neurocognitive Aging (SOL-INCA) (N = 5856). Based on the average mean squared error (MSE) for GCSC or average area under the curve (AUC) for MCI across 100 randomly split testing and training sets, performance was similar across models, but slightly better for the following models: …

Enhancing Data Compatibility In An Evolving Landscape: Medical Cannabis And Polysubstance Use Protocols In The Phenx Toolkit, Anne Buu, Johannes Thrul, Amanda Bunting, Tamara Haegerich, Wayne Huggins, Christian Hopfer, Denise Vidot, Cataia Ives, Ryan Mcneil, Sarah Zemore, Corrie Vilsaint, Elizabeth Fallon, Christine Hill, Carol Hamilton, John Kelly

Faculty, Staff and Student Publications

Introduction: With increasing legalization of medical cannabis and prevalence of polysubstance use in the United States comes the need for standard psychometrically validated measures to study these substances' health effects in the population. The PhenX (consensus measures for Phenotypes and eXposures) Toolkit (www.phenxtoolkit.org) is a freely accessible catalog of recommended measurement protocols to promote data compatibility across studies, but this extensive catalog did not include measures in these important areas.

Methods: In 2024, a PhenX Working Group of experts followed a well-established consensus process to identify and recommend measurement protocols suitable for inclusion in studies on medical cannabis and polysubstance …

Population-Based Analysis Of Synergistic Effects Of Functional Disability And Comorbidities On Retention In Hiv Care Among People With Hiv, Modupe Olajumoke Onigbogi, Osaro Mgbere, Paul Rowan, Ruosha Li, Charles Darkoh

Faculty, Staff and Student Publications

Objective: This cross-sectional study examined how types of disability and comorbidities influence retention in care (RIC) among people with HIV (PWH) in Houston/Harris County, Texas, USA.

Methods: Data from 1142 participants in the Houston Medical Monitoring Project (2015–2021) were analyzed. Descriptive statistics, bivariate analyses, and multivariable logistic regression were used to evaluate factors associated with RIC.

Results: Approximately 74.9% of participants were retained in care. Compared to PWH without specific comorbidities, those with dyslipidemia and kidney disease had higher odds of RIC (AOR: 2.66; 95% CI: 1.40–5.03 and AOR: 14.08; 95% CI: 1.44–138.12, respectively). PWH reporting only mobility disability had …

Evaluating Artificial Intelligence Large Language Mocdels In Dental Education: A Cross-Sectional Survey On Usage, Perceptions, And Integration At A U.S. Dental Scho, Celine Sheng, Camie Mcfarland, Nikola Angelov, Sridhar V K Eswaran, Richard Halpin, Jennifer Chang

Faculty, Staff and Student Publications

Introduction: The adoption of artificial intelligence (AI) in higher education presents opportunities and challenges for dental education. This study explores the use of Large Language Model (LLM) based AI tools, including ChatGPT and Grammarly AI, among faculty and students at the UTHealth School of Dentistry in Houston (UTSDH). This research assessed usage patterns, perceived benefits and concerns, and AI training demand.

Methods: A piloted, cross-sectional survey was administered via email. The survey included Likert-scale, multiple-choice, and open-ended questions. Respondents provided demographics and rated their LLM-based AI tools for use and perceptions in educational, clinical, and research contexts. Data was analyzed …

A User-Friendly Graphical User Interface For Paw Touch Classification In Rodent Cylinder Testing, Tyler R Johnson, Katherine D Zerefos, Dawn M Taylor

Faculty, Staff and Student Publications

In unilateral rodent models of disease or injury, deficits are induced in only one side of the body, allowing the difference in right versus left limb usage to serve as a metric of disease/injury severity and recovery with various treatments. Unilateral rat models are commonly used for conditions such as Parkinson’s disease (via the neurotoxin 6-hydroxydopamine, 6-OHDA), stroke, and traumatic brain injury, as well as cervical spinal cord injury and peripheral nerve damage. The ‘cylinder test’ has been used for over two decades as a reliable metric of asymmetry in forelimb usage. In this test, videos are taken of the …

Intra-Coronary Imaging And Transcriptomics Of Calcified Nodules Before And After Intensive Lipid-Lowering Therapy: A Yellow Iii Substudy, Pruthvi C Revaiah, Yuliya Vengrenyuk, Jiajia Liu, Keisuke Yasumura, Vemuri Krishna Santosh, Monika Karki, Ishani Bansal, Amit Hooda, Joseph K Sweeny, Sahil Khera, Vishal Kapur, Prakash Krishnan, Pedro R Moreno, Roxana Mehran, Xiaobo Zhou, Jagat Narula, Samin K Sharma, Annapoorna S Kini

Faculty, Staff and Student Publications

Aims: Calcified nodules (CNs) contribute to 3-5% of acute coronary syndromes (ACS). Identifying peri-calcific lipid-rich areas is challenging with conventional imaging but feasible using near-infrared spectroscopy (NIRS). This YELLOW III substudy investigated the impact of maximal lipid-lowering on CN morphology and lipid content over 26 weeks.

Methods and results: Patients with stable CAD and lipid-rich, non-obstructive plaques (lipid arc >90°, FCT < 120 µm on OCT) received Evolocumab (140 mg biweekly) plus maximally tolerated statins. Lesions were evaluated at baseline and 26 weeks using combined NIRS-IVUS and OCT. Exploratory endpoints were the maximum 4 mm lipid core burden index (LCBI) in segments containing CNs (maxLCBI4mm-CN) and morphological changes in CN. Linear mixed-effects models were used to evaluate temporal changes and group interactions. Peripheral blood mononuclear cell (PBMC) transcriptomics were analysed. Among 110 patients, 43 (39.1%) had CNs. A total of 73 paired CNs were analysed for morphology, of which 65 CNs were ≥4 mm. CNs with lipid signal (CNLS) demonstrated a significant reduction in maxLCBI4mm-CN from 176.8 to 113.3 (β = -63.51 ± 17.63; P < 0.001), whereas no change was observed in dense CNs (P = 0.317). Morphological parameters remained largely unchanged in both groups. A modest increase in the surrounding calcium arc was observed in CNLS (P = 0.018), while depth showed a differential change …

Enhancing Inter-Institutional Ai Research Collaboration Across Multidisciplinary Teams To Increase The National Ai Workforce In Healthcare, Toufeeq Ahmed Syed, Sarah Popal, D'Laney Kernan, Deevakar Rogith, Zulfiia Ditto, Paul Warhurst, Jay Johnson, Jamboor K Vishwanatha

Faculty, Staff and Student Publications

Inter-institutional team collaboration is critical for impactful multidisciplinary AI research in healthcare. The goal of our project (AIM-AHEAD Connect) is to increase multidisciplinary collaborations by connecting AI/ML experts and healthcare researchers, trainees and professionals to enhance research and improve health for all Americans. As of February 2026, AIM-AHEAD Connect has over 10,100 AI/ML and healthcare experts from across 2,400 institutions, has made more than 7,800 connections and facilitated 194 collaborative online groups. We conducted a unique study to understand collaboration, and analyzed profile, connection, and platform engagement metrics to determine if AI experts and healthcare researchers with more inter-institutional connections …

Factors Associated With Opioid And Antibiotic Prescribing At Us Academic Dental Institutions: 2011 To 2020, S Tungare, A-I Yansane, S Gantela, K K Kookal, S Mccurdy, T M Krause, S Sharma, M Walji

Faculty, Staff and Student Publications

Introduction: In the United States, dentists are one of the leading prescribers of opioids and antibiotics. Because dental schools are the training grounds for future dentists, it is crucial to understand how prescribing has changed and why these medications are being prescribed in academic settings.

Objectives: The objective of this research was to describe the prescribing trends and factors associated with opioid and antibiotic medication prescribing at US academic dental institutions between 2011 and 2020.

Methods: Data from electronic dental records collected through the BigMouth data repository from 9 anonymized dental institutions between 2011 and 2020 were used. Prescribing rates …

Rewiring The Immune Response In Lung Cancer: Current Progress In Bispecific Antibodies, Car-T Therapy, And The Rise Of In Vivo Car-T Platforms, Lei He, Yi Sun, Bowen Ma, Guojun Lang, Jianguo Wen, George R Blumenschein, Hong Ma

Faculty, Staff and Student Publications

Lung cancer remains the leading cause of cancer mortality worldwide and continues to impose a major clinical burden, particularly in advanced non-small cell lung cancer (NSCLC) and small-cell lung cancer (SCLC). Although targeted therapies, antiangiogenic agents, immune checkpoint inhibitors, and antibody-drug conjugates have improved outcomes in selected patients, durable responses remain limited by primary and acquired resistance. Here, we comprehensively review recent progress in immunologically oriented therapeutic strategies for lung cancer, focusing on bispecific antibodies, chimeric antigen receptor (CAR) T-cell therapy, and emerging in vivo CAR-engineering modalities. We further elaborate on the clinical rationale, latest translational and early clinical evidence, …

Deep Learning To Predict Future Cognitive Decline: A Multimodal Approach Using Brain Mri And Clinical Data, Tamoghna Chattopadhyay, Pavithra Senthilkumar, Rahul H Ankarath, Christopher Patterson, Emma J Gleave, Sophia I Thomopoulos, Heng Huang, Li Shen, Lei You, Degui Zhi, Paul M Thompson

Faculty, Staff and Student Publications

Predicting the trajectory of clinical decline in aging individuals is a pressing challenge, especially for people with mild cognitive impairment, Alzheimer's disease, Parkinson's disease, or vascular dementia. Accurate predictions can guide treatment decisions, identify risk factors, and optimize clinical trials. In this study, we compared two deep learning approaches for forecasting changes, over a 2-year interval, in the Clinical Dementia Rating scale 'sum of boxes' score (sobCDR), as a continuous outcome (regression). This is a key metric in dementia research and clinical trials, and scores range from 0 (no impairment) to 18 (severe impairment). To predict decline, we trained a …

A Hybrid Vit-L/32-Maxvit-L Architecture With Adaptive Gated Fusion For Multiclass Gastrointestinal Disease Detection And Multi-Method Post-Hoc Explainability, Shahid Mohammad Ganie, Pijush Kanti Dutta Pramanik, Zhongming Zhao

Faculty, Staff and Student Publications

Introduction: Accurate detection of gastrointestinal diseases from endoscopic images remains challenging due to substantial inter-class similarity, intra-class variability, and heterogeneous lesion presentation. While convolutional neural networks (CNNs) effectively capture fine mucosal textures, their limited receptive field restricts global contextual reasoning. Conversely, transformer architectures model long-range dependencies but may underrepresent localized structural detail.

Methods: This study proposes a dual-branch hybrid transformer framework that integrates global token-level reasoning from ViT-L/32 with hierarchical spatial modeling from MaxViT-L. An adaptive gated fusion mechanism is introduced to dynamically regulate the relative contribution of local and global representations on a per-sample basis, enabling content-aware cross-scale integration. …

Global-Local Feature Fusion: A Robust Hybrid Deep Learning Model For Multiclass Brain Tumor Classification With Grad-Cam++ Interpretation, Kirti Pant, Pijush Kanti Dutta Pramanik, Shahid Mohammad Ganie, Anindita Saha, Zhongming Zhao

Faculty, Staff and Student Publications

Background: Accurate classification of brain tumors in MRI scans is critical for effective clinical decision making, yet manual assessment is labor-intensive and subject to variability. Although deep learning models, particularly CNNs and Transformers, have shown potential, each architecture alone has limitations: CNNs excel at local feature extraction but lack global context awareness, while Transformers capture global relationships but may overlook fine-grained details.

Objectives: To develop a hybrid Transfer Learning-Transformer model that integrates CNN-driven local feature modeling with Transformer-based global reasoning to enhance multi-class brain tumor classification.

Methods: The proposed workflow comprises three stages: (1) benchmarking standalone CNN (ResNet50, VGG19, ConvNeXtBase, …

Genetic Variants Associated With Sjögren’S Disease Subtypes Stratified By Clinical Feature, Nitesh Enduru, Chihiro Iwaya, Akiko Suzuki, Zhongming Zhao, Junichi Iwata

Faculty, Staff and Student Publications

Introduction: Sjögren's disease (SjD) is a chronic autoimmune disorder characterized by dry mouth (xerostomia) and dry eyes (xerophthalmia) due to inflammation in exocrine glands, particularly the salivary and lacrimal glands. The condition presents a wide variety of clinical features, suggesting that it may involve heterogeneous conditions without a clear boundary. Although genome-wide association studies (GWAS) have identified several genetic variants associated with SjD, their roles in SjD pathogenesis remain unclear.

Methods: In this study, we aimed to identify single-nucleotide polymorphisms (SNPs) associated with SjD by categorizing patients based on four diagnostic markers: anti-Ro/SSA and anti-La/SSB antibodies, IgG levels, and lymphocyte …

Negotiating Health: A Qualitative Analysis Of Home Smoking Rules Among Families With Medically Vulnerable Infants, Yolanda R Villarreal, Thomas F Northrup, Stephen M Fischer, Jackson S Norwood, Angela L Stotts

Faculty, Staff and Student Publications

Introduction: Approximately 5000 child deaths are attributed to secondhand smoke exposure (SHSe) annually, which is three times the number of childhood cancers combined. Infants, medically fragile infants, are highly vulnerable to the harmful effects of SHSe, including respiratory infections and sudden infant death syndrome. While having a home smoking ban may mitigate these risks, implementation remains a challenge for many families. Our primary aim was to explore the familial and sociocultural factors associated with smoking-ban initiation and maintenance in households with medically fragile infants.

Methods: Qualitative interviews were conducted with 20 mothers participating in a behavioral intervention from 2015 to …

Erratum: Assessment Of Skin Fibrosis In A Murine Model Of Systemic Sclerosis With Multifunctional Optical Coherence Tomography (Erratum), Harshdeep Singh Chawla, Yanping Chen, Minghua Wu, Pavel Nikitin, Jessica Gutierrez, Chandra Mohan, Manmohan Singh, Salavat R Aglyamov, Shervin Assassi, Kirill V Larin

Faculty, Staff and Student Publications

This corrects the article "Assessment of skin fibrosis in a murine model of systemic sclerosis with multifunctional optical coherence tomography" in volume 30(3), 036007.

Overcoming Stigma In Women's Hiv And Syphilis Care: The Role Of Faith In Healing, Irene A Stafford, Phillip C Johnson, Robin L Beach

Faculty, Staff and Student Publications

Point-of-care (POC) testing for syphilis and HIV is an effective way to provide same-day testing, results management, counseling, and treatment. Although commonly used in antenatal or sexual health clinics, our field study aimed to offer POC testing to women attending a standard care clinic in Guatemala. Nearly all women accepted testing, highlighting the patient-centered benefits and acceptability of screening in non-stigmatizing settings. Upon disclosure of results, especially positive diagnoses, patients drew comfort and resilience from their faith, an often-underprioritized resource not typically considered when addressing sexual health. These results underscore the value of integrating POC testing into routine care and …

Circulating Biomarkers In Subjects With Progressive Pulmonary Fibrosis: Data From The Inbuild Trial, Toby M Maher, R Gisli Jenkins, Francesco Bonella, Shervin Assassi, Claudia Diefenbach, Carina Ittrich, Klaus B Rohr, Martin Kolb

Faculty, Staff and Student Publications

Background: We investigated the prognostic potential of circulating biomarkers at baseline and the effects of nintedanib on changes in these biomarkers in subjects with progressive pulmonary fibrosis (PPF).

Methods: In the INBUILD trial, subjects with PPF received nintedanib (n=332) or placebo (n=331). Associations between biomarker levels at baseline and the rate of forced vital capacity (FVC) decline (mL·year-1) over 52 weeks, time to interstitial lung disease (ILD) progression (absolute decline in FVC % predicted ≥10%) or death over 52 weeks, time to first acute exacerbation or death over the whole trial, and time to death over the whole trial were …

Isolated Immune-Mediated Enteritis In Patients Treated With Immune Checkpoint Inhibitor Therapy, Sharada Wali, Rohan Srinivas Patel, Maria Julia Moura Nascimento Santos, Anirudha Chatterjee, Sophia Chenyu Fan, Sean Ngo, Tanvi Gupta, Kian Abdul Baki, Lucie Heinzerling, Bryan J Schneider, Kathryn Bollin, Jessica Philpott, Anusha Thomas, Yinghong Wang

Faculty, Staff and Student Publications

Background: Immune checkpoint inhibitors (ICIs) commonly cause colitis, but isolated immune-mediated enteritis (IMEN) is poorly characterized. This study describes the clinical features, diagnostic findings, and outcomes of IMEN.

Method: We retrospectively identified adults with cancer who developed IMEN within one year of ICI initiation, confirmed as duodenitis, ileitis, or both.

Results: Among 20,991 ICI-treated patients, 30 (0.143%) developed isolated IMEN. Median age was 69.5 years; 73.3% were male, and 80% white. The most common malignancies were gastrointestinal/hepatobiliary (26.7%) and melanoma (23.3%). Presenting symptoms included nausea (66.7%), diarrhea (53.3%), and vomiting (46.7%); 62.5% of patients with diarrhea had grade ≥2 severity. …

Conduction Abnormalities After Tavi And Their Role In Patient Management: A Systematic Review, Ionuț Tudorancea, Irene Paula Popa, Mihai Ștefan Cristian Haba, Ștefan Popa, Viviana Onofrei, Dragomir Nicolae Șerban, Ionela Lăcrămioara Șerban, Irina Iuliana Costache-Enache, Radu Iliescu, Cătălin Loghin

Faculty, Staff and Student Publications

Objective: Transcatheter aortic valve implantation (TAVI) is associated with a relatively high incidence of permanent pacemaker implantation (PPM-I). We aimed to evaluate the existing literature on electrocardiographic (ECG) changes before and after TAVI, identify predictors for PPM-I, and suggest a standardized post-TAVI ECG monitoring protocol.

Methods: A systematic literature review was conducted across multiple databases, including PubMed, Web of Science, and JSTOR, to identify studies published between 2001 and 2024.

Results: From an initial pool of 24,170 records, 17 studies met the inclusion criteria. Pre-existing right bundle branch block and significant prolongation of ECG intervals were identified as strong predictors …

Mitochondrial Dysfunction In Alzheimer’S Disease And Related Sex Differences, Afzal Misrani, Conelius Ngwa, Fudong Liu

Faculty, Staff and Student Publications

Alzheimer's disease (AD), the most common form of dementia, accounts for 70% of cases and remains a major healthcare challenge due to its rising prevalence and lack of disease-modifying treatments. Clinically, AD is a sexually dimorphic disease. Women exhibit more rapid cognitive decline and accelerated brain atrophy during mild cognitive impairment and early dementia, whereas men more frequently present cardiovascular comorbidities, earlier mitochondrial dysfunction, and greater neuropsychiatric symptoms. AD is marked by amyloid-β (Aβ) plaques, neurofibrillary tangles, neuroinflammation, and neuronal loss, with mitochondrial dysfunction emerging as a key early contributor that exhibits sex specific phenotypes. Mitochondria are vital for neuronal …

Retrospective Longitudinal Analysis Of Blood Microrna-7-5p As A Possible Progression Biomarker In People With Parkinson’S Disease, Shayan Abdollah Zadegan, Corrine Hutchinson, Chiamaka Onuigbo, Juan D Martinez-Lemus, Laura Talbot, E Jeffrey Metter, Marie-Francoise Doursout, Emily Tharp, Jessika Suescun, Mohammad Shahnawaz, Timothy M Ellmore, Mya Schiess, Christopher Adams

Faculty, Staff and Student Publications

Background: MicroRNA-7-5p (miR-7-5p) may play a neuroprotective role in people with Parkinson's disease (PwP), as it has been found to regulate α-synuclein (α-syn) and the NLRP3 inflammasome in animal models of Parkinson's disease (PD).

Objective: The study aimed to investigate the use of miR-7-5p as a potential biomarker for disease progression in PwP by correlating it with time, clinical measures, and neurofilament light chain (NfL).

Methods: We performed a longitudinal retrospective analysis of blood miR-7-5p levels in 303 de novo PwP and 159 healthy controls (HCs) from the Parkinson's Progression Markers Initiative (PPMI) cohort. In PwP, a linear mixed-effects …

Defining Large Core Infarction: Comparing The Accuracy Of Non-Contrast Ct Aspects Versus Ct Perfusion Core Volume, Ngoc Mai Le, Joseph Samaha, Ananya S Iyyangar, Javier Gomez-Farias, Bruna Kfoury, Ritesh Bajaj, Connor Nguyen, Syed Shams, Camille Neal-Harris, Emmanuel Ebirim, Hussain Azeem, Anjan N Ballekere, Saagar Dhanjani, Eunyoung Lee, Luca Giancardo, Sunil A Sheth

Faculty, Staff and Student Publications

Background and purpose: We evaluated agreement and performance of non-contrast head-computerized tomography (NCHCT) and CT-perfusion (CTP) in identifying large core infarct in acute ischemic stroke (AIS) due to large vessel occlusion (LVO) undergoing endovascular therapy (EVT), using MRI as reference.

Methods: From our prospective multicenter registry, we identified patients with LVO-AIS due to internal carotid artery or middle cerebral artery M1occlusions who underwent EVT between 2017 and 2024. Final infarct volume (FIV) was defined using 24-48 h post-EVT diffusion-weighted imaging magnetic resonance imaging (MRI-FIV). To limit infarct growth bias, only patients with CTP-to-EVT start time < 3 h were included. Large core infarct was defined at FIV thresholds: 50, 70, and 100 mL. The primary outcome was agreement between NCHCT and CTP in identifying large core infarct using kappa-statistics. Large core was considered if NCHCT-ASPECTS< 6 or rCBF< 30% volume>70 mL on CTP (RAPID/Viz.AI). …

Spatial Evolution In Temporal Dynamics Of Hemodynamic Response Function In Human Superior Colliculi With Ultra-High-Resolution Mri At 9.4t, Nooshin J Fesharaki, Artemy Vinogradov, David Ress, Jung Hwan Kim

Faculty, Staff and Student Publications

The superior colliculus (SC) plays a crucial role in multisensory integration, visual information processing, saccadic target selection, visual selective attention, and decision making. In particular, the SC has a key role in oculomotor coordination, following a rostro-caudal organization. The rostral SC, which corresponds to foveal representation, is linked to fixation, microsaccades, smooth pursuit, and vergence adjustments. In contrast, the caudal SC, representing more peripheral visual field, is associated with the large gaze shifts (saccades). However, evidence regarding whether this functional gradient is preserved in the human SC remains limited. In this study, we employed a sequence-following visual-motor task to specifically …

The Effects Of Measurement Errors On Minimum Ablative Margins After Thermal Ablation Of Liver Tumors: A Simulation Study, Iwan Paolucci, Jessica Albuquerque, Noreen S Siddiqi, A Kyle Jones, Kristy K Brock, Bruno C Odisio

Faculty, Staff and Student Publications

Purpose: To develop a mathematical framework to estimate the in silico A0 threshold based on the technical specifications of a specific ablation confirmation software package for thermal ablation of liver tumors that can then be used to identify the impact of different sources of error.

Methods: To estimate in silico A0 thresholds, we developed a simulation framework incorporating technical parameters and biological effects. Technical parameters were segmentation error, registration error, and slice thickness, and biological effects were tissue shrinkage and microscopic satellite lesions; these parameters and effects were all modeled using statistical distributions. For each permutation of parameters, a logistic …

Dosimetric Effect Of Abdominal Compression In Online Adaptive Planning For Abdominal Cancers Treated With A 15 Tesla Magnetic Resonance-Guided Linear Accelerator, Moghadaseh Khaleghibizaki, Angela Sobremonte, Luis Perles, Surendra Prajapati, Ergys Subashi, Yao Ding, Kristy Brock, Roya Barati, Eugene Koay, Chad Tang, Jinzhong Yang

Faculty, Staff and Student Publications

Compression belts (CBs) are sometimes used to reduce respiratory motion during stereotactic body radiotherapy of abdominal cancers with magnetic resonance (MR)-guided online adaptive planning. This study evaluated the dosimetric effects of overriding the relative electron density (ED) value of CBs in creating synthetic computed tomography (CT) scans for MR-guided adaptive planning. We evaluated plans for 12 patients with abdominal cancer and identified that ED values between 0.2 and 0.3 achieved the best approximation of CB ED in dose calculation. Our study presented an approach to estimate appropriate ED overrides for CBs in MR-guided online adaptive planning.

Association Between Three-Dimensional Margin Assessment And Local Tumor Control In Percutaneous Lung Cryoablation Of Colorectal Metastases, Frank Mohn, Koustav Pal, Caleb O'Connor, Iwan Paolucci, Austin Castelo, Kamran Ahrar, Steven Yevich, Joshua D Kuban, Bruno C Odisio, Alda Lui Tam, Rahul A Sheth, Kristy K Brock

Faculty, Staff and Student Publications

Purpose

To evaluate the association of two minimum ablation margin (MAM) estimation methods: manual three-dimensional segmentation and biomechanical deformable image registration (DIR) with local tumor progression-free survival (LTPFS) after percutaneous lung cryoablation of colorectal pulmonary metastases.

Materials and Methods

This retrospective single-institution study included patients who underwent percutaneous lung cryoablation between May 2012 and March 2023 (median follow-up, 3.6 years; range, 0.8–9.6 years). Manual three-dimensional MAM was calculated for all tumors, and DIR-based MAM was estimated in a subset with intraprocedural full-thorax imaging. Cox proportional hazards regression assessed associations between MAM and LTPFS. The primary outcome was 2-year LTPFS, with …