Digital Commons Network^™

Lifespan Reference Curves For Harmonizing Multi-Site Regional Brain White Matter Metrics From Diffusion Mri, Alyssa H Zhu, Talia M Nir, Shayan Javid, Julio E Villalón-Reina, Amanda L Rodrigue, Lachlan T Strike, Greig I De Zubicaray, Katie L Mcmahon, Margaret J Wright, Sarah E Medland, John Blangero, David C Glahn, Peter Kochunov, Douglas E Williamson, Asta K Håberg, Paul M Thompson, Neda Jahanshad

Faculty, Staff and Student Publications

Age-related white matter (WM) microstructure maturation and decline occur throughout the human lifespan, complementing the process of gray matter development and degeneration. Here, we create normative lifespan reference curves for global and regional WM microstructure by harmonizing diffusion MRI (dMRI)-derived data from ten public datasets (N = 40,898 subjects; age: 3-95 years; 47.6% male). We tested three harmonization methods on regional diffusion tensor imaging (DTI) based fractional anisotropy (FA), a metric of WM microstructure, extracted using the ENIGMA-DTI pipeline. ComBat-GAM harmonization provided multi-study trajectories most consistent with known WM maturation peaks. Lifespan FA reference curves were validated with test-retest data …

Axl Promotes Inflammatory Breast Cancer Progression By Regulating Immunosuppressive Macrophage Polarization, Lan T H Phi, Yating Cheng, Yohei Funakoshi, Francois Bertucci, Pascal Finetti, Steven J Van Laere, Fang Zou, James P Long, Suguru Ogata, Savitri Krishnamurthy, James M Reuben, Jason M Foulks, Steven L Warner, Jennifer M Rosenbluth, Anil K Sood, Debu Tripathy, Naoto T Ueno, Xiaoping Wang

Faculty, Staff and Student Publications

Background: Tumor-associated macrophages (TAMs) are key promoters of inflammatory breast cancer (IBC), the most aggressive form of breast cancer. The receptor tyrosine kinase AXL is highly expressed in various cancer types, including IBC, but its role in TAMs remains unexplored.

Methods: We examined the effects of AXL inhibitor TP-0903 on tumor growth and tumor microenvironment (TME) component M2 macrophages (CD206+) in IBC and triple-negative breast cancer mouse models using flow cytometry and immunohistochemical staining. Additionally, we knocked out AXL expression in human THP-1 monocytes and evaluated the effect of AXL signaling on immunosuppressive M2 macrophage polarization and IBC cell growth …

Gdgse: An Algorithm To Evaluate Pathway Enrichment By Discretizing Gene Expression Values, Jiangti Luo, Qiqi Lu, Mengjiao He, Xiaobo Zhang, Xiang Yang, Xiaosheng Wang

Faculty, Staff and Student Publications

We proposed gdGSE, a novel computational framework for gene set enrichment analysis. Unlike conventional methods that rely on continuous gene expression values, gdGSE employs discretized gene expression profiles to assess pathway activity. This approach effectively mitigates discrepancies caused by data distributions. This algorithm consists of two steps: (1) applying statistical thresholds binarizing gene expression matrix, and (2) converting the binarized gene expression matrix into a gene set enrichment matrix. Our results demonstrated that gdGSE could robustly extract biological insights from a diverse array of simulated and real bulk or single-cell gene expression datasets. Notably, gene set enrichment scores by gdGSE …

Language Mapping During Awake Brain Surgery In A Deaf Patient With A Brain Tumor: Illustrative Case, Ene Chibawanye I, Elizabeth Silva, Kyle Noll, Mariana Bradshaw, Katherine Connelly, Ho-Ling Liu, Ravi Tummala, David Ferson, Frederick F Lang, Vinodh A Kumar

Faculty, Staff and Student Publications

Background: Signed language integrates complex sensorimotor processes involving visual and motor networks. The contribution of language regions such as Broca's and Wernicke's areas during signing is not well established. Here, the authors report the case of a 45-year-old right-handed male with congenital deafness, who communicates using American Sign Language (ASL) and Signed English, presenting with focal seizures. Imaging showed a diffuse infiltrative glioma in the right cerebral hemisphere.

Observations: Remarkably, preoperative functional MRI language activations were bihemispheric and overlapped for both traditional language paradigms and sign paradigms, suggesting that the same cortical regions of the brain are used for language …

Genomic Characterization Of High-Grade Serous Ovarian Carcinoma Reveals Distinct Somatic Features In Black Individuals, Katherine A Lawson-Michod, Jeffrey R Marks, Lindsay J Collin, David A Nix, Natalie R Davidson, Chad D Huff, Yao Yu, Aaron Atkinson, Courtney E Johnson, Lucas A Salas, Lauren C Peres, Casey S Greene, Joellen M Schildkraut, Jennifer A Doherty

Faculty, Staff and Student Publications

Black individuals experience worse survival after a diagnosis of high-grade serous ovarian carcinoma (HGSC) than White individuals and are underrepresented in ovarian cancer research. To date, the understanding of the molecular and genomic heterogeneity of HGSC is based primarily on the evaluation of tumors from White individuals. In the present study, we performed whole-exome sequencing on HGSC samples from 211 Black patients to identify significantly mutated genes and characterize mutational signatures, assessing their distributions by gene expression subtypes. The occurrence and frequency of somatic mutations and signatures by self-reported race were compared with historic data from The Cancer Genome Atlas …

Cafe: Improved Federated Data Imputation By Leveraging Missing Data Heterogeneity, Sitao Min, Hafiz Asif, Xinyue Wang, Jaideep Vaidya

Faculty, Staff and Student Publications

Federated learning (FL), a decentralized machine learning approach, offers great performance while alleviating autonomy and confidentiality concerns. Despite FL's popularity, how to deal with missing values in a federated manner is not well understood. In this work, we initiate a study of federated imputation of missing values, particularly in complex scenarios, where missing data heterogeneity exists and the state-of-the-art (SOTA) approaches for federated imputation suffer from significant loss in imputation quality. We propose Cafe, a personalized FL approach for missing data imputation. Cafe is inspired from the observation that heterogeneity can induce differences in observable and missing data distribution across …

Precision Proteogenomics Reveals Pan-Cancer Impact Of Germline Variants, Fernanda Martins Rodrigues, Nadezhda V Terekhanova, Kathleen J Imbach, Karl R Clauser, Myvizhi Esai Selvan, Isabel Mendizabal, Yifat Geffen, Yo Akiyama, Myranda Maynard, Tomer M Yaron, Yize Li, Song Cao, Erik P Storrs, Olivia S Gonda, Adrian Gaite-Reguero, Akshay Govindan, Emily A Kawaler, Matthew A Wyczalkowski, Robert J Klein, Berk Turhan, Karsten Krug, D R Mani, Felipe Da Veiga Leprevost, Alexey I Nesvizhskii, Steven A Carr, David Fenyö, Michael A Gillette, Antonio Colaprico, Antonio Iavarone, Ana I Robles, Kuan-Lin Huang, Chandan Kumar-Sinha, François Aguet, Alexander J Lazar, Lewis C Cantley, Urko M Marigorta, Zeynep H Gümüş, Matthew H Bailey, Gad Getz, Eduard Porta-Pardo, Li Ding

Faculty, Staff and Student Publications

We investigate the impact of germline variants on cancer patients' proteomes, encompassing 1,064 individuals across 10 cancer types. We introduced an approach, "precision peptidomics," mapping 337,469 coding germline variants onto peptides from patients' mass spectrometry data, revealing their potential impact on post-translational modifications, protein stability, allele-specific expression, and protein structure by leveraging the relevant protein databases. We identified rare pathogenic and common germline variants in cancer genes potentially affecting proteomic features, including variants altering protein abundance and structure and variants in kinases (ERBB2 and MAP2K2) impacting phosphorylation. Precision peptidome analysis predicted destabilizing events in signal-regulatory protein alpha (SIRPA) and glial …

Tumoral And Circulating Genomic Landscape Inform Survival Differences In Colorectal Carcinomatosis, Michael G White, Reed I Ayabe, Mohammad A Zeineddine, Fadl A Zeineddine, Abdelrahman M G Yousef, Mahmoud Yousef, Norman J Galbraith, J Bryan Iorgulescu, Christopher Scally, Keith Fournier, Timothy E Newhook, Nancy Y You, Jason Willis, Scott Kopetz, George J Chang, John Paul Shen, Abhineet Uppal

Faculty, Staff and Student Publications

Colorectal peritoneal metastases (CPM) are the third most common site of metastatic spread of colorectal cancer and are associated with worse survival than other sites of metastatic disease. In recent years tumoral circulating tumoral DNA (ctDNA) mutational status has been increasingly utilized in clinical decision making for metastatic colorectal cancer patients despite its utility in CPM being poorly understood. Here we describe standard of care performed mutational profiles and associated outcomes for unresectable CPM patients, with a contextual comparison to 160 unresected colorectal liver metastases (CLM) patients. Of 508 patients, 288 (57 %) had CPM alone and 220 (43 %) …

A Comparison Of Carbon Ions Versus Protons For Integrated Mode Ion Imaging, Mikaël Simard, Ryan Fullarton, Lennart Volz, Christoph Schuy, Daniel G Robertson, Allison Toltz, Colin Baker, Sam Beddar, Christian Graeff, Charles-Antoine Collins Fekete

Faculty, Staff and Student Publications

Background: Incorporating image guidance into ion beam therapy is critical for minimizing beam range uncertainties and realizing the modality's potential. One promising avenue for image guidance is to capture transmission ion radiographs (iRads) before and/or during treatment. iRad image quality is typically maximized using a single-event imaging system, which involves tracking individual ions, albeit the approach is generally not suited to clinical beam settings. An alternative faster and clinically compatible method is integrated mode imaging, where individual pencil beam data is acquired, rather than single ion data. To evaluate the usefulness of transmission ion imaging for image guidance, it is …

Differences In Blood Leukocyte Subpopulations In Schizophrenia: A Systematic Review And Meta-Analysis, Leon Dudeck, Madeleine Nussbaumer, Thomas Nickl-Jockschat, Paul C Guest, Henrik Dobrowolny, Gabriela Meyer-Lotz, Zhongming Zhao, Roland Jacobs, Kolja Schiltz, Brisa S Fernandes, Johann Steiner

Faculty, Staff and Student Publications

Importance: This study aims to provide robust evidence to support or challenge the immune hypothesis of schizophrenia.

Objective: To conduct a meta-analysis of reports on blood leukocyte subpopulations in schizophrenia vs healthy controls, examining disease- and treatment-related differences as well as potential confounders.

Data sources: Systematic database search for English and non-English peer-reviewed articles in PubMed, Web of Science, Scopus, and Cochrane Library databases, with the last search in January 2024.

Study selection: Cross-sectional, case-control, and longitudinal studies comparing leukocyte numbers in patients with schizophrenia and healthy controls. After duplicates were removed, 3691 studies were identified for screening.

Data extraction …

Phase Ii Trial Of Atezolizumab And Bevacizumab For Treatment Of Hpv-Positive Unresectable Or Metastatic Squamous Cell Carcinoma Of The Anal Canal, Van K Morris, Suyu Liu, Kangyu Lin, Haifeng Zhu, Seema Prasad, Armeen Mahvash, Priya Bhosale, Baohua Sun, Edwin R Parra, Ignacio Wistuba, Arjun Peddireddy, James Yao, Julia Mendoza-Perez, Mark Knafl, Scott E Woodman, Cathy Eng, Daniel Halperin

Faculty, Staff and Student Publications

Purpose: Anti-PD-L1 antibodies are associated with responses in < 25% of patients with metastatic human papillomavirus-associated malignancies. VEGF signaling causes immune evasion and immune suppression within the tumor. We evaluated the anti-PD-L1 antibody atezolizumab and anti-VEGF antibody bevacizumab for patients with unresectable, advanced anal cancer.

Patients and methods: For this phase II study, participants with previously treated, immunotherapy-naïve anal cancer received atezolizumab (1,200 mg) and bevacizumab (15 mg/kg) intravenously every 21 days. Responses were evaluated every 9 weeks (RECIST version 1.1). The primary endpoint was the best radiographic response. Median survival was estimated by Kaplan-Meier and compared for selected biomarkers (including paired pre- and on-treatment biopsies) using a log-rank test.

Results: Among 20 participants, the overall response rate was 11% [95% confidence interval (CI): 1.2-32]. Median progression-free survival and overall survival were 4.1 months (95% CI, 2.6-not …

Impact Of Comorbidities On The Mortality Benefits Of Lung Cancer Screening: A Post-Hoc Analysis Of The Plco And Nlst Trials, Sebastien Gendarme, Ehsan Irajizad, James P Long, Johannes F Fahrmann, Jennifer B Dennison, Seyyed Mahmood Ghasemi, Rongzhang Dou, Robert J Volk, Rafael Meza, Iakovos Toumazis, Florence Canoui-Poitrine, Samir M Hanash, Edwin J Ostrin

Faculty, Staff and Student Publications

Objectives: To evaluate how comorbidities affect mortality benefits of lung cancer screening (LCS) with low-dose computed tomography.

Methods: We developed a comorbidity index (Prostate, Lung, Colorectal, and Ovarian comorbidity index [PLCO-ci]) using LCS-eligible participants' data from the Prostate, Lung, Colorectal, and Ovarian (PLCO) trial (training set) and the National Lung Screening Trial (NLST) (validation set). PLCO-ci predicts five-year non-lung cancer (LC) mortality using a regularized Cox model; with performance evaluated using the area under the receiver operating characteristics curve. In NLST, LC mortality (per original publication) was compared between low-dose computed tomography and chest radiograph arms across the PLCO-ci quintile …

Treatment Of C-Met Antibody-Drug Conjugate Asymptomatic Pneumonitis With A Novel Steroid Regimen In Non-Small Cell Lung Cancer: A Case Report, Daniel A Fox, Christine Tran, Vincent Blot, David S Hong

Faculty, Staff and Student Publications

Antibody-drug conjugates (ADCs) are a potent class of antineoplastic drugs that deliver cytotoxic agents via targeting with monoclonal antibodies; however, ADCs are associated with high rates of lung toxicities, limiting the therapeutic potential in many patients. We report a case of a patient with metastatic non-small cell lung cancer taking the ADC telisotuzumab vedotin (Teliso V) plus osimtertinib who developed ADC-induced pneumonitis despite clinical benefit. This patient was able to tolerate treatment for a prolonged period on a novel steroid regimen, using steroids when pneumonitis was asymptomatic but radiologically evident and as a daily suppressant. This treatment strategy may have …

Comic: A Bayesian Dose Optimization Design For Drug Combination In Multiple Indications With Application To Car-T Therapies, Kai Chen, Kentaro Takeda, Ying Yuan

Faculty, Staff and Student Publications

Project Optimus, initiated by the US Food and Drug Administration (FDA), seeks to shift the focus of dose finding and selection from the maximum tolerated dose to the optimal dose that offers the most favorable risk-benefit balance. However, applying this paradigm shift to drug combination trials presents challenges, particularly due to limited sample sizes and a large two-dimensional dose exploration space. These challenges are amplified when trials involve multiple indications. To address this, we developed a two-stage Bayesian dose optimization design, called COMIC (Combination Optimization in Multiple IndiCations), to efficiently identify Optimal Biological Dose Combinations (OBDC) for multiple indications. The …

Oral Microbiome Profile Of The Us Population, Anil K Chaturvedi, Emily Vogtmann, Jianxin Shi, Yukiko Yano, Martin J Blaser, Nicholas A Bokulich, J Gregory Caporaso, Maura L Gillison, Barry I Graubard, Xing Hua, Autumn G Hullings, Lisa Kahle, Rob Knight, Shilan Li, Jody Mclean, Vaishnavi Purandare, Yunhu Wan, Neal D Freedman, Christian C Abnet

Faculty, Staff and Student Publications

Importance: The oral microbiome likely plays key roles in human health. Yet, population-representative characterizations are lacking.

Objective: To characterize the composition, diversity, and correlates of the oral microbiome in US adults.

Design, setting, and participants: This cross-sectional study analyzed data from the population-representative National Health and Nutrition Examination Survey (NHANES) from 2009 to 2012. Microbiome data were made publicly available in 2024. NHANES participants were aged 18 to 69 years and provided oral rinse samples in 1 of 2 consecutive NHANES cycles (2009-2010 and 2011-2012).

Exposures: Demographic, socioeconomic, behavioral, anthropometric, metabolic, and clinical characteristics.

Main outcomes and measures: Oral microbiome …

Defining The Optimal Radiation-Induced Lymphopenia Metric To Discern Its Survival Impact In Esophageal Cancer, Pim J J Damen, Max Peters, Brian Hobbs, Yiqing Chen, Uwe Titt, Remi Nout, Radhe Mohan, Steven H Lin, Peter S N Van Rossum

Faculty, Staff and Student Publications

Purpose: A detrimental association between radiation-induced lymphopenia (RIL) and oncologic outcomes in patients with esophageal cancer has been established. However, an optimal metric for RIL remains undefined but is important for the application of this knowledge in clinical decision-making and trial designs. The aim of this study was to find the optimal RIL metric discerning survival.

Methods and materials: Patients with esophageal cancer treated with concurrent chemoradiation therapy (CRT; 2004-2022) were selected. Studied metrics included absolute lymphocyte counts (ALCs) and neutrophil counts-and calculated derivatives-at baseline and during CRT. Multivariable Cox regression models for progression-free survival (PFS) and overall survival (OS) …

The Multilayered Transcriptional Architecture Of Glioblastoma Ecosystems, Masashi Nomura, Avishay Spitzer, Kevin C Johnson, Luciano Garofano, Djamel Nehar-Belaid, Noam Galili Darnell, Alissa C Greenwald, Lillian Bussema, Young Taek Oh, Frederick S Varn, Fulvio D'Angelo, Simon Gritsch, Kevin J Anderson, Simona Migliozzi, L Nicolas Gonzalez Castro, Tamrin Chowdhfury, Nicolas Robine, Catherine Reeves, Jong Bae Park, Anuja Lipsa, Frank Hertel, Anna Golebiewska, Simone P Niclou, Labeeba Nusrat, Sorcha Kellet, Sunit Das, Hyo Eun Moon, Sun Ha Paek, Franck Bielle, Alice Laurenge, Anna Luisa Di Stefano, Bertrand Mathon, Alberto Picca, Marc Sanson, Shota Tanaka, Nobuhito Saito, David M Ashley, Stephen T Keir, Keith L Ligon, Jason T Huse, W K Alfred Yung, Anna Lasorella, Roel G W Verhaak, Antonio Iavarone, Mario L Suvà, Itay Tirosh

Faculty, Staff and Student Publications

In isocitrate dehydrogenase wildtype glioblastoma (GBM), cellular heterogeneity across and within tumors may drive therapeutic resistance. Here we analyzed 121 primary and recurrent GBM samples from 59 patients using single-nucleus RNA sequencing and bulk tumor DNA sequencing to characterize GBM transcriptional heterogeneity. First, GBMs can be classified by their broad cellular composition, encompassing malignant and nonmalignant cell types. Second, in each cell type we describe the diversity of cellular states and their pathway activation, particularly an expanded set of malignant cell states, including glial progenitor cell-like, neuronal-like and cilia-like. Third, the remaining variation between GBMs highlights three baseline gene expression …

Todo: A Triple-Outcome Double-Criterion Optimal Design For Dose Monitoring-And-Optimization In Multi-Dose Randomized Trials, Jingyi Zhang, Heng Zhou, Nolan A Wages, Zifang Guo, Fang Liu, Thomas Jemielita, Fangrong Yan, Ruitao Lin

Faculty, Staff and Student Publications

Detecting the efficacy signal and determining the optimal dose are critical steps to increase the probability of success and expedite the drug development in cancer treatment. After identifying a safe dose range through phase I studies, conducting a multidose randomized trial becomes an effective approach to achieve this objective. However, there have been limited formal statistical designs for such multidose trials, and dose selection in practice is often ad hoc, relying on descriptive statistics. We propose a Bayesian optimal two-stage design to facilitate rigorous dose monitoring and optimization. Utilizing a flexible Bayesian dynamic linear model for the dose-response relationship, we …

Diroximel Fumarate Acts Through Nrf2 To Attenuate Methylglyoxal-Induced Nociception In Mice And Decrease Isr Activation In Drg Neurons, Muhammad Saad Yousuf, Marisol Mancilla Moreno, Brodie J Woodall, Vikram Thakur, Jiahe Li, Lucy He, Rohita Arjarapu, Danielle Royer, Jennifer Zhang, Munmun Chattopadhyay, Peter M Grace, Theodore J Price

Faculty, Staff and Student Publications

Diabetic neuropathic pain is associated with elevated plasma levels of methylglyoxal (MGO). MGO is a metabolite of glycolysis that causes pain hypersensitivity in mice by stimulating the phosphorylation of eukaryotic initiation factor 2α (p-eIF2α) and subsequently activating the integrated stress response (ISR). We first established that Zucker diabetic fatty rats have enhanced MGO signaling, engage ISR, and develop pain hypersensitivity. Since nuclear factor erythroid 2-related factor 2 (Nrf2) regulates the expression of antioxidant proteins that neutralize MGO, we hypothesized that fumarates, like diroximel fumarate (DRF), will stimulate Nrf2 signaling, and prevent MGO-induced ISR and pain hypersensitivity. DRF (100 mg/kg) treated …

Igtp: Learning Interpretable Cellular Embedding For Inferring Biological Mechanisms Underlying Single-Cell Transcriptomics, Kang-Lin Hsieh, Kai Zhang, Yan Chu, Lishan Yu, Xiaoyang Li, Nuo Hu, Isha Kawosa, Patrick G Pilié, Pratip K Bhattacharya, Degui Zhi, Xiaoqian Jiang, Zhongming Zhao, Yulin Dai

Faculty, Staff and Student Publications

Deep-learning models like Variational AutoEncoder have enabled low dimensional cellular embedding representation for large-scale single-cell transcriptomes and shown great flexibility in downstream tasks. However, biologically meaningful latent space is usually missing if no specific structure is designed. Here, we engineered a novel interpretable generative transcriptional program (iGTP) framework that could model the importance of transcriptional program (TP) space and protein-protein interactions (PPI) between different biological states. We demonstrated the performance of iGTP in a diverse biological context using gene ontology, canonical pathway, and different PPI curation. iGTP not only elucidated the ground truth of cellular responses but also surpassed other …

Group Therapy For Autistic Adults Over Telehealth: Challenges And Guidelines For Clinicians, Antonio F Pagán, Stephen Armstrong, Amy Izuno-Garcia, Killian R Hughes, Katherine A Loveland

Faculty, Staff and Student Publications

Autism spectrum disorder (ASD) is associated with challenges in areas such as social skills and behavior, with 1 in 36 children diagnosed in the U.S. Annually, over 100,000 adolescents with ASD transition to adulthood, often facing a "service cliff" where support diminishes. Group therapy can help autistic adults by enhancing social skills, executive functioning, and emotional regulation while fostering belonging and reducing isolation. Telehealth-based group therapy offers additional benefits, particularly for those with social anxiety, geographic barriers, or limited transportation. While telehealth is effective for autistic adults, practical guidelines for virtual group therapy are lacking. This article provides recommendations for …

Longevity Humans Have Youthful Erythrocyte Function And Metabolic Signatures, Fang Yu, Changhan Chen, Wuping Liu, Zhixiang Zhao, Yuhua Fan, Zhenjiang Li, Weilun Huang, Tingting Xie, Cheng Luo, Zhouzhou Yao, Qi Guo, Zhiyu Yang, Juan Liu, Yujin Zhang, Rodney E Kellems, Jian Xia, Ji Li, Yang Xia

Faculty, Staff and Student Publications

Longevity individuals have lower susceptibility to chronic hypoxia, inflammation, oxidative stress, and aging-related diseases. It has long been speculated that "rejuvenation molecules" exist in their blood to promote extended lifespan. We unexpectedly discovered that longevity individuals exhibit erythrocyte oxygen release function similar to young individuals, whereas most elderly show reduced oxygen release capacity. Untargeted erythrocyte metabolomics profiling revealed that longevity individuals are characterized by youth-like metabolic reprogramming and these metabolites effectively differentiate the longevity from the elderly. Quantification analyses led us to identify multiple novel longevity-related metabolites within erythrocytes including adenosine, sphingosine-1-phosphate (S1P), and glutathione (GSH) related amino acids. Mechanistically, …

Targeting Discrepancies In Linear Growth Measurements In The Neonatal Intensive Care Unit Through Nursing Interventions: A Quality Improvement Initiative, Gail Snyder, Rebekah Wilkinson, Raina Evans, Meagan Owen, Akram Yazdani, Covi Tibe, Catherine Perez, Lindsay F Holzapfel

Faculty, Staff and Student Publications

Objective: Accurate length measurements are essential for infants to identify growth deficiencies and adjust nutrition accordingly. The gold standard for length measurement in infants is using a length board with two people to obtain an accurate clinical assessment. We aimed to improve the number of measurements with the desired minimal difference, defined as a discrepancy ≤1 cm between nurse and audit measurements, in our center. Our secondary aim was to increase and maintain the number of length boards available.

Methods: This quality improvement (QI) study used a before-and-after intervention comparison design in a single-level IV neonatal intensive care unit between …

Multiparametric Mri Scoring System Of The Pancreas For The Diagnosis Of Chronic Pancreatitis, Temel Tirkes, Dhiraj Yadav, Darwin L Conwell, Xuandong Zhao, Anil K Dasyam, Vivek Gowdra Halappa, Aashish Patel, Zarine K Shah, Jordan Swensson, Naoki Takahashi, Sudhakar Venkatesh, Ashley Wachsman, Liang Li, Kristofer Jennings, Yunlong Yang, Phil A Hart, Stephen J Pandol, Walter G Park, Santhi Swaroop Vege, Mark Topazian, Paul R Territo, Scott A Persohn, Dana K Andersen, Evan L Fogel, Consortium For The Study Of Chronic Pancreatitis, Diabetes, And Pancreatic Cancer (Cpdpc)

Faculty, Staff and Student Publications

Background: Ductal features alone may not offer high diagnostic sensitivity or most accurate disease severity of chronic pancreatitis (CP).

Purpose: Diagnose CP based on multiparametric MRI and MRCP features.

Study type: Prospective.

Population: Between February 2019 and May 2021, 46 control (23 males, 49.3 ± 14.1 years), 45 suspected (20 males, 48.7 ± 12.5 years), and 46 definite (20 males, 53.7 ± 14.6 years) CP patients were enrolled at seven hospitals enrolled in the MINIMAP study. CP classification was based on imaging findings and clinical presentation.

Field strength and sequences: 1.5 T. T1-weighted (T1W) spoiled gradient echo, T1 map with …

Imaging In Pelvic Exenteration-A Multidisciplinary Practice Guide From The Esgar-Sar-Esur-Pelvex Collaborative Group, Stephanie Nougaret, Doenja M J Lambregts, Geerard L Beets, Regina G H Beets-Tan, Lennart Blomqvist, David Burling, Quentin Denost, Maria A Gambacorta, Benedetta Gui, Ann Klopp, Yulia Lakhman, Kate E Maturen, Riccardo Manfredi, Iva Petkovska, Luca Russo, Atul B Shinagare, James A Stephenson, Damian Tolan, Aradhana M Venkatesan, Aaron J Quyn, Rosemarie Forstner

Faculty, Staff and Student Publications

Pelvic exenteration (PE) is a radical surgical approach designed for the curative treatment of advanced pelvic malignancies, requiring en-bloc resection of multiple pelvic organs. While the procedure is radical, it has shown promise in enhancing long-term survival and is now comparable in surgical mortality to elective resections for primary pelvic cancers. Imaging plays a crucial role in preoperative planning, with MRI, CT, and PET/CT being pivotal in assessing the extent of cancer and formulating a surgical roadmap. This paper presents clinical practice guidelines for imaging in the context of PE, developed jointly by ESGAR, SAR, ESUR, and the PelvEx Collaborative. …

Quantifying Photon Counting Detector (Pcd) Performance Using Pcd-Ct Images, Linying Zhan, Guang-Hong Chen, Ke Li

Faculty, Staff and Student Publications

Background: Photon counting detector CTs (PCD-CTs) have recently been introduced to clinical imaging. This development creates a new need for end-users to quantify and monitor the physical performance of PCDs. Traditionally, the characterization of PCD performance relied on detector counts, which are typically accessible to the manufacturer but are not usually available to clinical end-users.

Purpose: The goal of this work was to develop a new method for quantifying PCD performance using reconstructed PCD-CT images, without requiring access to the PCD counts.

Methods: The proposed method is based on a set of closed-form relationships that connect PCD-CT image noise, the …

Quantitative Ablation Confirmation Methods In Percutaneous Thermal Ablation Of Malignant Liver Tumors: Technical Insights, Clinical Evidence, And Future Outlook, Iwan Paolucci, Jessica Albuquerque Marques Silva, Yuan-Mao Lin, Alexander Shieh, Anna Maria Ierardi, Gianpaolo Caraffiello, Carlo Gazzera, Kyle A Jones, Paolo Fonio, Reto Bale, Kristy K Brock, Marco Calandri, Bruno C Odisio

Faculty, Staff and Student Publications

Percutaneous image-guided thermal ablation is an established local curative-intent treatment technique for the treatment of primary and secondary malignant liver tumors. Whereas margin assessment after surgical resection can be accomplished with microscopic examination of the resected specimen, margin assessment after percutaneous thermal ablation relies on cross-sectional imaging. The critical measure of technical success is the minimal ablative margin (MAM), defined as the minimum distance between the tumor and the edge of the ablation zone. Traditionally, the MAM has been assessed qualitatively using anatomic landmarks, which has suboptimal accuracy and reproducibility and is prone to operator bias. Consequently, specialized software-based methods …

New Performance Measurement Framework For Realizing Patient-Centered Clinical Decision Support: Qualitative Development Study, Prashila Dullabh, Courtney Zott, Nicole Gauthreaux, James Swiger, Edwin Lomotan, Dean F Sittig

Faculty, Staff and Student Publications

Background: Patient-centered clinical decision support (PC CDS) exists on a continuum that reflects the degree to which its knowledge base, data, delivery, and use focus on patient needs and experiences. A new focus on value-based, whole-person care has resulted in broader development of PC CDS technologies, yet there is limited information on how to measure their performance and effectiveness. To address these gaps, there is a need for more measurement guidance to assess PC CDS interventions.

Objective: This paper presents a new framework that incorporates patient-centered principles into traditional health IT and clinical decision support (CDS) evaluation frameworks to create …

Use Of Natural Language Processing To Identify Patients With Inflammatory Breast Cancer Across A Health-Care System, Ramez Kouzy, Megumi Kai, Huong T Le-Petross, Sadia Saleem, Wendy A Woodward

Faculty, Staff and Student Publications

Early identification and referral of inflammatory breast cancer remains challenging within large health-care systems, limiting access to specialized care. We developed and evaluated an artificial intelligence-driven platform integrating natural language processing (NLP) with electronic health records to systematically identify potential inflammatory breast cancer patients across 5 campuses. Our platform analyzed 8 623 494 clinical notes, implementing a sequential review process: NLP screening followed by human validation and multidisciplinary confirmation. Initial NLP screening achieved 55.4% positive predictive value, improving to 78.4% with human-in-the-loop review. Notably, among 255 confirmed patients with inflammatory breast cancer, our system demonstrated 92.2% sensitivity, identifying 57 patients …

The Effects Of Prescribed Medications On Depressive Symptoms And Neurocognitive Performance In People With Hiv, Asante R Kamkwalala, Avery Matthews, Ankita Garg, Upal Roy, Qing Ma, Maile Karris, Erin Sundermann, Ronald J Ellis, Patricia K Riggs, Mattia Trunfio, Jennifer Blanchard, David J Moore, Leah H Rubin, Scott L Letendre

Faculty, Staff and Student Publications

Background: Alterations in brain function and structure, such as depression and neurocognitive impairment, continue to occur in people with human immunodeficiency virus (HIV, PWH) taking suppressive antiretroviral therapy (ART). The lifespan of PWH has improved but the healthspan remains worse than people without HIV, in part because of aging-related diseases. As a result, polypharmacy is common and increases the risk of drug-drug interactions and adverse reactions.

Methods: This cross-sectional project investigated the relationship between 7 medication-related metrics (including anticholinergic burden), depressive symptoms, and neurocognitive performance in 491 PWH at a single center in the United States. All participants were taking …