Medical Specialties Commons^™

The In Vitro Activity Of Delafloxacin And Comparator Agents Against Bacterial Pathogens Isolated From Patients With Cancer, Bahgat Gerges, Kenneth Rolston, Samuel A Shelburne, Joel Rosenblatt, Randall Prince, Issam Raad

Faculty, Staff and Student Publications

BACKGROUND: Fluoroquinolones are used for infection prevention in high-risk patients with haematological malignancies. Fluoroquinolones are active against many Gram-negative bacilli (GNB) but are less active against Gram-positive organisms. We evaluated the

METHODS: Antimicrobial susceptibility testing and time-kill studies were performed using CLSI-approved methodology and interpretive criteria for 350 Gram-positive organisms and 210 GNB that had been recently isolated from patients with cancer.

RESULTS: Delafloxacin was more active than ciprofloxacin and levofloxacin against

CONCLUSIONS: Delafloxacin is more active than ciprofloxacin and levofloxacin against

Association Between Employer-Based Health Promotion Programs And Adherence To Breast Cancer Screening In Texas, Monalisa Chandra, Robert Yu, Sanjay Shete

Faculty, Staff and Student Publications

Breast cancer is the most common cancer diagnosed among women in Texas. Although adherence to recommended screening mammogram guidelines enables early detection and reduces breast cancer risks, screening mammogram adherence is low in Texas. With the rising percentage of women in the workforce, employer-based health promotion programs could be an effective measure in increasing mammogram adherence, thereby reducing breast cancer risk in Texas. Although employer-based health programs are common in the state, little is known about their effectiveness in increasing screening mammogram adherence among age-eligible employed females. The study survey was administered using Qualtrics and the study participants were representative …

Five-Year Survivors From Brain Metastases Treated With Stereotactic Radiosurgery: Biology, Improving Treatments, Or Just Plain Luck?, Jane B Pearce, Fang-Chi Hsu, Claire M Lanier, Christina K Cramer, Jimmy Ruiz, Hui-Wen Lo, Fei Xing, Margaret Smith, Wencheng Li, Christopher Whitlow, Jaclyn J White, Stephen B Tatter, Adrian W Laxton, Michael D Chan

Faculty, Staff and Student Publications

BACKGROUND: Improvements in therapies have led to an increasing number of long-term survivors of brain metastases. The present series compares a population of 5-year survivors of brain metastases to a generalized brain metastases population to assess for factors attributable to long-term survival.

METHODS: A single institution retrospective review was performed to identify 5-year survivors of brain metastases who received stereotactic radiosurgery (SRS). A historical control population of 737 patients with brain metastases was used to assess similarities and differences between the long-term survivor population and the general population treated with SRS.

RESULTS: A total of 98 patients with brain metastases …

Fear Of Recurrence, Emotional Well-Being And Quality Of Life Among Long-Term Advanced Ovarian Cancer Survivors, Kathryn Osann, Lari Wenzel, Chelsea Mckinney, Lynne Wagner, David Cella, Giulia Fulci, Mary J Scroggins, Heather A Lankes, Victoria Wang, Kenneth P Nephew, George L Maxwell, Samuel C Mok, Thomas P Conrads, Austin Miller, Michael Birrer

Faculty, Staff and Student Publications

OBJECTIVE: Although advanced stage epithelial ovarian cancer is widely considered life-threatening, 17% of women with advanced disease will survive long-term. Little is known about the health-related quality of life (QOL) of long-term ovarian cancer survivors, or how fear of recurrence might affect QOL.

METHODS: 58 long-term survivors with advanced disease participated in the study. Participants completed standardized questionnaires to capture cancer history, QOL, and fear of recurrent disease (FOR). Statistical analyses included multivariable linear models.

RESULTS: Participants averaged 52.8 years at diagnosis and had survived >8 years (mean:13.5); 64% had recurrent disease. Mean FACT-G, FACT-O, and FACT-O-TOI (TOI) scores were …

A Non-Antibiotic-Disrupted Gut Microbiome Is Associated With Clinical Responses To Cd19-Car-T Cell Cancer Immunotherapy, Christoph K Stein-Thoeringer, Neeraj Y Saini, Eli Zamir, Viktoria Blumenberg, Maria-Luisa Schubert, Uria Mor, Matthias A Fante, Sabine Schmidt, Eiko Hayase, Tomo Hayase, Roman Rohrbach, Chia-Chi Chang, Lauren Mcdaniel, Ivonne Flores, Rogier Gaiser, Matthias Edinger, Daniel Wolff, Martin Heidenreich, Paolo Strati, Ranjit Nair, Dai Chihara, Luis E Fayad, Sairah Ahmed, Swaminathan P Iyer, Raphael E Steiner, Preetesh Jain, Loretta J Nastoupil, Jason Westin, Reetakshi Arora, Michael L Wang, Joel Turner, Meghan Menges, Melanie Hidalgo-Vargas, Kayla Reid, Peter Dreger, Anita Schmitt, Carsten Müller-Tidow, Frederick L Locke, Marco L Davila, Richard E Champlin, Christopher R Flowers, Elizabeth J Shpall, Hendrik Poeck, Sattva S Neelapu, Michael Schmitt, Marion Subklewe, Michael D Jain, Robert R Jenq, Eran Elinav

Faculty, Staff and Student Publications

Increasing evidence suggests that the gut microbiome may modulate the efficacy of cancer immunotherapy. In a B cell lymphoma patient cohort from five centers in Germany and the United States (Germany, n = 66; United States, n = 106; total, n = 172), we demonstrate that wide-spectrum antibiotics treatment ('high-risk antibiotics') prior to CD19-targeted chimeric antigen receptor (CAR)-T cell therapy is associated with adverse outcomes, but this effect is likely to be confounded by an increased pretreatment tumor burden and systemic inflammation in patients pretreated with high-risk antibiotics. To resolve this confounding effect and gain insights into antibiotics-masked microbiome signals …

The Glycoprotein Cd147 Defines Mirna-Enriched Extracellular Vesicles That Derive From Cancer Cells, Song Yi Ko, Wonjae Lee, Melanie Weigert, Eric Jonasch, Ernst Lengyel, Honami Naora

Faculty, Staff and Student Publications

Extracellular vesicles (EVs) are ideal for liquid biopsy, but distinguishing cancer cell‐derived EVs and subpopulations of biomarker‐containing EVs in body fluids has been challenging. Here, we identified that the glycoproteins CD147 and CD98 define subpopulations of EVs that are distinct from classical tetraspanin+ EVs in their biogenesis. Notably, we identified that CD147+ EVs have substantially higher microRNA (miRNA) content than tetraspanin+ EVs and are selectively enriched in miRNA through the interaction of CD147 with heterogeneous nuclear ribonucleoprotein A2/B1. Studies using mouse xenograft models showed that CD147+ EVs predominantly derive from cancer cells, whereas the majority of tetraspanin+ EVs are not …

Emerging Role Of Tak1 In The Regulation Of Skeletal Muscle Mass, Anirban Roy, Vihang A Narkar, Ashok Kumar

Faculty, Staff and Student Publications

Maintenance of skeletal muscle mass and strength throughout life is crucial for heathy living and longevity. Several signaling pathways have been implicated in the regulation of skeletal muscle mass in adults. TGF-β-activated kinase 1 (TAK1) is a key protein, which coordinates the activation of multiple signaling pathways. Recently, it was discovered that TAK1 is essential for the maintenance of skeletal muscle mass and myofiber hypertrophy following mechanical overload. Forced activation of TAK1 in skeletal muscle causes hypertrophy and attenuates denervation-induced muscle atrophy. TAK1-mediated signaling in skeletal muscle promotes protein synthesis, redox homeostasis, mitochondrial health, and integrity of neuromuscular junctions. In …

Autologous Stem Cell Transplantation For Patients With Multiple Myeloma With Translocation (4;14): The Md Anderson Cancer Center Experience, Oren Pasvolsky, Mahmoud R Gaballa, Denái R Milton, Adeel Masood, Sophiya S Sami, Mark R Tanner, Qaiser Bashir, Samer Srour, Neeraj Saini, Jeremy Ramdial, Yago Nieto, Guilin Tang, Pei Lin, Hans C Lee, Krina K Patel, Partow Kebriaei, Sheeba K Thomas, Donna M Weber, Robert Z Orlowski, Elizabeth J Shpall, Richard E Champlin, Muzaffar H Qazilbash

Faculty, Staff and Student Publications

Translocation between chromosomes 4 and 14, t(4;14), has been reported in 15% of patients with multiple myeloma (MM) and is considered a high-risk cytogenetic abnormality associated with inferior outcomes. Autologous hematopoietic stem cell transplantation (auto-HCT) is standard of care for patients with high-risk MM, yet there are scarce data on post-transplantation outcomes of patients with t(4;14) MM. The aim of the present study was to evaluate outcomes of MM patients with t(4;14) who underwent auto-HCT and received contemporary anti-myeloma agents for induction and post-transplantation maintenance. We conducted a retrospective analysis of MM patients with t(4;14), detected by fluorescence in situ …

Impact Of Common Vitamin D-Binding Protein Isoforms On Supplemental Vitamin D3 And/Or Calcium Effects On Colorectal Adenoma Recurrence Risk: A Secondary Analysis Of A Randomized Clinical Trial, David Corley Gibbs, Elizabeth L Barry, Veronika Fedirko, John A Baron, Roberd M Bostick

Faculty, Staff and Student Publications

IMPORTANCE: Variants in the vitamin D-binding protein (DBP) gene (GC) encode DBP isoforms that may affect vitamin D metabolism. However, whether these isoforms modify the effects of vitamin D3 and/or calcium supplementation on colorectal adenoma recurrence is unclear. We hypothesized that supplementation effects may be stronger among those with the DBP2 isoform (encoded by the rs4588*A allele), which is associated with vitamin D deficiency and modified the associations of circulating vitamin D with risk for colorectal neoplasms in observational studies.

OBJECTIVE: To estimate supplemental vitamin D3 and/or calcium effects on colorectal adenoma recurrence according to 3 common DBP isoforms (DBP1s, …

Dietary Intake Of Total, Heme And Non-Heme Iron And The Risk Of Colorectal Cancer In A European Prospective Cohort Study, Elom K Aglago, Amanda J Cross, Elio Riboli, Veronika Fedirko, David J Hughes, Agnes Fournier, Paula Jakszyn, Heinz Freisling, Marc J Gunter, Christina C Dahm, Kim Overvad, Anne Tjønneland, Cecilie Kyrø, Marie-Christine Boutron-Ruault, Joseph A Rothwell, Gianluca Severi, Verena Katzke, Bernard Srour, Matthias B Schulze, Clemens Wittenbecher, Domenico Palli, Sabina Sieri, Fabrizio Pasanisi, Rosario Tumino, Fulvio Ricceri, Bas Bueno-De-Mesquita, Jeroen W G Derksen, Guri Skeie, Torill Enget Jensen, Marko Lukic, Maria-Jose Sánchez, Pilar Amiano, Sandra Colorado-Yohar, Aurelio Barricarte, Ulrika Ericson, Bethany Van Guelpen, Keren Papier, Anika Knuppel, Corinne Casagrande, Inge Huybrechts, Alicia K Heath, Konstantinos K Tsilidis, Mazda Jenab

Faculty, Staff and Student Publications

BACKGROUND: Iron is an essential micronutrient with differing intake patterns and metabolism between men and women. Epidemiologic evidence on the association of dietary iron and its heme and non-heme components with colorectal cancer (CRC) development is inconclusive.

METHODS: We examined baseline dietary questionnaire-assessed intakes of total, heme, and non-heme iron and CRC risk in the EPIC cohort. Sex-specific multivariable-adjusted hazard ratios (HRs) and 95% confidence intervals (CIs) were computed using Cox regression. We modelled substitution of a 1 mg/day of heme iron intake with non-heme iron using the leave one-out method.

RESULTS: Of 450,105 participants (318,680 women) followed for 14.2 …

Pocketnet: A Smaller Neural Network For Medical Image Analysis, Adrian Celaya, Jonas A Actor, Rajarajesawari Muthusivarajan, Evan Gates, Caroline Chung, Dawid Schellingerhout, Beatrice Riviere, David Fuentes

Faculty, Staff and Student Publications

Medical imaging deep learning models are often large and complex, requiring specialized hardware to train and evaluate these models. To address such issues, we propose the PocketNet paradigm to reduce the size of deep learning models by throttling the growth of the number of channels in convolutional neural networks. We demonstrate that, for a range of segmentation and classification tasks, PocketNet architectures produce results comparable to that of conventional neural networks while reducing the number of parameters by multiple orders of magnitude, using up to 90% less GPU memory, and speeding up training times by up to 40%, thereby allowing …

Well-Being Content Inclusion In Pharmacy Education Across The United States And Canada, Elizabeth Buckley, Simi Gunaseelan, Benjamin D Aronson, Heidi N Anksorus, Victoria Belousova, Tram B Cat, Kristine M Cline, Stacey D Curtis, Christina E Deremer, David Fuentes, Mckenzie S Grinalds, Seena L Haines, Hannah E Johnson, Karen Kopacek, Jessica M Louie, Nkem P Nonyel, Natasha Petry, Shawn Riser Taylor, Suzanne C Harris, Cheryl A Sadowski, Anandi V Law

Faculty, Staff and Student Publications

Objective. To describe the landscape of well-being content inclusion across schools and colleges of pharmacy in the United States and Canada through identification of content implementation, incorporation, and assessment.

Methods. A cross-sectional survey was distributed to all accredited schools and colleges of pharmacy in the United States (n=143) and Canada (n=10). Survey questions included curricular and cocurricular timing, frequency, assessment strategies, and support for well-being initiatives, using a framework of eight dimensions (pillars) of wellness to categorize content.

Results. Descriptive data analyses were applied to 99 completed surveys (65%), 89 (62%) in the United States and 10 (100%) in Canada. …

Integrative Clinical And Genomic Characterization Of Mtap-Deficient Metastatic Urothelial Cancer, Omar Alhalabi, Yueting Zhu, Ameer Hamza, Wei Qiao, Yiyun Lin, Raymond M Wang, Amishi Y Shah, Matthew T Campbell, Vijaykumar Holla, Ashish Kamat, Wei-Lien Wang, Jennifer Wang, Jianfeng Chen, Jieru Meng, Miao Zhang, Jolanta Bondaruk, Mark Titus, Giannicola Genovese, Bogdan A Czerniak, Kenna R Shaw, Funda Meric-Bernstam, Charles C Guo, Christopher J Logothetis, Arlene Siefker-Radtke, Pavlos Msaouel, Linghua Wang, Jiyan Liu, Jianjun Gao

Faculty, Staff and Student Publications

Deficiency of MTAP (MTAPdef) mainly occurs because of homozygous loss of chromosome 9p21, which is the most common copy-number loss in metastatic urothelial cancer (mUC). We characterized the clinical and genomic features of MTAPdef mUC in 193 patients treated at MD Anderson Cancer Center (MDACC) and 298 patients from the phase 2 IMvigor210 trial, which investigated atezolizumab in cisplatin-ineligible and platinum-refractory disease. In the MDACC cohort, visceral metastases were significantly more common for MTAPdef (n = 48) than for MTAP-proficient (MTAPprof; n = 145) patients (75% vs 55.2%; p = 0.02). MTAPdef was associated with poor prognosis (median overall …

Comparative Analysis Of Opioid Use Between Robotic And Open Pancreatoduodenectomy, Russell G Witt, Yuki Hirata, Laura R Prakash, Timothy E Newhook, Jessica E Maxwell, Michael P Kim, Hop S Tran Cao, Jeffrey E Lee, Jean-Nicolas Vauthey, Matthew H G Katz, Ching-Wei D Tzeng, Naruhiko Ikoma

Faculty, Staff and Student Publications

BACKGROUND/PURPOSE: Risk-stratified pancreatectomy clinical pathways using regional anesthesia and multimodality analgesia have decreased overall opioid use, but the additional benefits of robotic surgery in opioid reduction for pancreatoduodenectomy (PD) are unknown. We compared the inpatient opioid use between robotic PD and open PD.

METHODS: Patients undergoing open PD within a protocol evaluating preincisional regional anesthetic block bundles were compared to consecutively-treated patients undergoing robotic PD identified from a prospectively maintained single-institutional database. Clinical characteristics, operative outcomes, pain scores and inpatient oral morphine equivalent (OME) use were compared between patients treated with robotic or open PD. Patients with a history of …

Quality Assurance Assessment Of Intra-Acquisition Diffusion-Weighted And T2-Weighted Magnetic Resonance Imaging Registration And Contour Propagation For Head And Neck Cancer Radiotherapy, Mohamed A Naser, Kareem A Wahid, Sara Ahmed, Vivian Salama, Cem Dede, Benjamin W Edwards, Ruitao Lin, Brigid Mcdonald, Travis C Salzillo, Renjie He, Yao Ding, Moamen Abobakr Abdelaal, Daniel Thill, Nicolette O'Connell, Virgil Willcut, John P Christodouleas, Stephen Y Lai, Clifton D Fuller, Abdallah S R Mohamed

Faculty, Staff and Student Publications

BACKGROUND/PURPOSE: Adequate image registration of anatomical and functional magnetic resonance imaging (MRI) scans is necessary for MR-guided head and neck cancer (HNC) adaptive radiotherapy planning. Despite the quantitative capabilities of diffusion-weighted imaging (DWI) MRI for treatment plan adaptation, geometric distortion remains a considerable limitation. Therefore, we systematically investigated various deformable image registration (DIR) methods to co-register DWI and T2-weighted (T2W) images.

MATERIALS/METHODS: We compared three commercial (ADMIRE, Velocity, Raystation) and three open-source (Elastix with default settings [Elastix Default], Elastix with parameter set 23 [Elastix 23], Demons) post-acquisition DIR methods applied to T2W and DWI MRI images acquired during the same …

Effect Of The Physical Fibrillated Sweet Potato (Ipomoea Batatas) Stem On The Plant-Based Patty Analogues, Suyoon Lee, You Young Lee, Yang Kim, Seung Hwan Ham, Min Gyu Lee, Jungwoo Hahn, Young Jin Choi

Faculty, Staff and Student Publications

In this study, a dietary fiber extracted from sweet potato stems (Ipomoea batatas, PS) was evaluated for its ability to improve the quality of vegetable patty analogues. A patty analogues containing 0–50 wt% dietary fiber were prepared to analyze the utilized dietary fiber's performance. To evaluate the manufactured patty analogues, texture profile analysis, color analysis, emulsion stability, and microstructural analysis were conducted. As the PS increased, the hardness decreased, while the total expressible fluids tended to increase. The color analysis revealed that the a* value, which represents red, declined as the PS content increased, and heterogeneous colors showed …

Covid-19 And Employee Job Performance Trajectories: The Moderating Effect Of Different Sources Of Status, Xin Liu, Xiaoming Zheng, Byron Y Lee, Yu Yu, Mengyi Zhang

Faculty, Staff and Student Publications

This study investigates the impact of the COVID-19 pandemic on employee job performance trajectories, and further examines the moderating effects of different sources of status. Drawing from event system theory (EST), we propose that employee job performance decreases upon COVID-19 onset, but gradually increases during the postonset period. Furthermore, we argue that status from society, occupation, and workplace functions to moderate such performance trajectories. We test our hypotheses with a unique dataset of 708 employees that combines survey responses and job performance archival data over 21 consecutive months (10,808 observations) spanning the preonset, onset, and postonset periods of the initial …

Renal-Hepatic-Pancreatic Dysplasia Type 2: Perinatal Lethal Condition Or A Multisystemic Disorder With Variable Expressivity, Kathryn Gunther, Essam M Imseis, Joyce P Samuel, Elizabeth A Hillman, Tiina H Ojala, Timo Jahnukainen, Paul R Hillman

Faculty, Staff and Student Publications

BACKGROUND: Renal-hepatic-pancreatic dysplasia type 2 (RHPD2) is a rare condition that has been described in the literature disproportionately in perinatal losses. The main features of liver and kidney involvement are well described, with cardiac malformations and cardiomyopathy adding additional variation to the phenotype. Many patients reported are within larger cohorts of congenital anomalies of kidney and urinary tract (CAKUT) or liver failure, and with minimal phenotypic and clinical course data.

METHODS: An independent series of phenotypes and prognosis was aggregated from the literature. In this literature review, we describe an additional patient with RHPD2, provide a clinical update on the …

Institutional Strategies To Maintain And Grow Imaging Research During The Covid-19 Pandemic, Mai-Lan Ho, Corey W Arnold, Summer J Decker, John D Hazle, Elizabeth A Krupinski, David A Mankoff

Faculty, Staff and Student Publications

Understanding imaging research experiences, challenges, and strategies for academic radiology departments during and after COVID-19 is critical to prepare for future disruptive events. We summarize key insights and programmatic initiatives at major academic hospitals across the world, based on literature review and meetings of the Radiological Society of North America Vice Chairs of Research (RSNA VCR) group. Through expert discussion and case studies, we provide suggested guidelines to maintain and grow radiology research in the postpandemic era.

Surgery After Braf-Directed Therapy Is Associated With Improved Survival In Brafv600e Mutant Anaplastic Thyroid Cancer: A Single-Center Retrospective Cohort Study, Xiao Zhao, Jennifer Rui Wang, Ramona Dadu, Naifa Lamki Busaidy, Lei Xu, Kim O Learned, Noah N Chasen, Thinh Vu, Anastasios Maniakas, Arturo A Eguia, Julia Diersing, Neil D Gross, Ryan Goepfert, Stephen Y Lai, Marie-Claude Hofmann, Renata Ferrarotto, Charles Lu, Gary Brandon Gunn, Michael T Spiotto, Vivek Subbiah, Michelle D Williams, Maria E Cabanillas, Mark E Zafereo

Faculty, Staff and Student Publications

Background: The aim of this study was to describe the oncologic outcomes of patients with BRAFV600E-mutated anaplastic thyroid cancer (ATC) who had neoadjuvant BRAF-directed therapy with subsequent surgery. For context, we also reviewed patients who received BRAF-directed therapy after surgery, and those who did not have surgery after BRAF-directed therapy.

Methods: This was a single-center retrospective cohort study conducted at a tertiary care cancer center in Texas from 2017 to 2021. Fifty-seven consecutive patients with BRAFV600E-mutated ATC and at least 1 month of BRAF-directed therapy were included. Primary outcomes were overall survival (OS) and progression-free survival (PFS).

Results: All patients …

Decs: A Tool For Systematic Cell Type Annotations Of Single-Cell Rna Sequencing Data Among Human Tissues, Guangsheng Pei, Fangfang Yan, Lukas M Simon, Yulin Dai, Peilin Jia, Zhongming Zhao

Faculty, Staff and Student Publications

Single-cell RNA sequencing (scRNA-seq) is revolutionizing the study of complex and dynamic cellular mechanisms. However, cell type annotation remains a main challenge as it largely relies on a priori knowledge and manual curation, which is cumbersome and subjective. The increasing number of scRNA-seq datasets, as well as numerous published genetic studies, has motivated us to build a comprehensive human cell type reference atlas.Here, we present decoding Cell type Specificity (deCS), an automatic cell type annotation method augmented by a comprehensive collection of human cell type expression profiles and marker genes. We used deCS to annotate scRNA-seq data from various tissue …

Ablative Margins Of Colorectal Liver Metastases Using Deformable Ct Image Registration And Autosegmentation, Yuan-Mao Lin, Iwan Paolucci, Caleb S O'Connor, Brian M Anderson, Bastien Rigaud, Bryan M Fellman, Kyle A Jones, Kristy K Brock, Bruno C Odisio

Faculty, Staff and Student Publications

Background

Confirming ablation completeness with sufficient ablative margin is critical for local tumor control following colorectal liver metastasis (CLM) ablation. An image-based confirmation method considering patient- and ablation-related biomechanical deformation is an unmet need.

Purpose

To evaluate a biomechanical deformable image registration (DIR) method for three-dimensional (3D) minimal ablative margin (MAM) quantification and the association with local disease progression following CT-guided CLM ablation.

Materials and Methods

This single-institution retrospective study included patients with CLM treated with CT-guided microwave or radiofrequency ablation from October 2015 to March 2020. A biomechanical DIR method with AI-based autosegmentation of liver, tumors, and ablation zones …

Inconsistent Partitioning And Unproductive Feature Associations Yield Idealized Radiomic Models, Mishka Gidwani, Ken Chang, Jay Biren Patel, Katharina Viktoria Hoebel, Syed Rakin Ahmed, Praveer Singh, Clifton David Fuller, Jayashree Kalpathy-Cramer

Faculty, Staff and Student Publications

Background Radiomics is the extraction of predefined mathematic features from medical images for the prediction of variables of clinical interest. While some studies report superlative accuracy of radiomic machine learning (ML) models, the published methodology is often incomplete, and the results are rarely validated in external testing data sets. Purpose To characterize the type, prevalence, and statistical impact of methodologic errors present in radiomic ML studies. Materials and Methods Radiomic ML publications were reviewed for the presence of performance-inflating methodologic flaws. Common flaws were subsequently reproduced with randomly generated features interpolated from publicly available radiomic data sets to demonstrate the …

Prediction Of Survival With Lower Intensity Therapy Among Older Patients With Acute Myeloid Leukemia, Koji Sasaki, Farhad Ravandi, Tapan M Kadia, Gautam Borthakur, Nicholas J Short, Nitin Jain, Naval G Daver, Elias J Jabbour, Guillermo Garcia-Manero, Sanam Loghavi, Keyur P Patel, Guillermo Montalban-Bravo, Lucia Masarova, Courtney D Dinardo, Hagop M Kantarjian

Faculty, Staff and Student Publications

BACKGROUND: The aim of this study was to develop a prognostic model for survival in older/unfit patients with newly diagnosed acute myeloid leukemia (AML) who were treated with lower-intensity chemotherapy regimens.

METHODS: The authors reviewed all older/unfit patients with newly diagnosed AML who received lower-intensity chemotherapy from 2000 until 2020 at their institution. A total of 1462 patients were included. They were divided (3:1 basis) into a training (n = 1088) and a validation group (n = 374).

RESULTS: In the training cohort of 1088 patients (median age, 72 years), the multivariate analysis identified 11 consistent independent adverse factors associated …

The Outcomes Of Patients With Chronic Myeloid Leukemia Treated With Third-Line Bcr::Abl1 Tyrosine Kinase Inhibitors, Elias J Jabbour, Koji Sasaki, Fadi G Haddad, Ghayas C Issa, Guillermo Garcia-Manero, Tapan M Kadia, Nitin Jain, Musa Yilmaz, Courtney D Dinardo, Keyur P Patel, Rashmi Kanagal-Shamanna, Richard Champlin, Issa F Khouri, Sara Dellasala, Sherry A Pierce, Hagop Kantarjian

Faculty, Staff and Student Publications

The BCR::ABL1 tyrosine kinase inhibitors (TKIs) have improved the outcomes of patients with chronic myeloid leukemia (CML). After failing second-generation TKI (2G-TKI), the optimal third-line therapy in chronic phase CML (CML-CP) is not well established. We analyzed 354 patients with CML-CP treated with a third-line BCR::ABL1 TKI at our institution, and in the PACE and OPTIC trials, and evaluated the outcome after alternate 2G-TKIs or ponatinib. We performed a propensity score matching analysis to compare outcomes and multivariate analysis to identify variables associated with survival. One hundred seventy-three (49%) patients received 2G-TKIs and 181 (51%) ponatinib. Patients in the ponatinib …

Clinical Outcomes Of Immune Checkpoint Inhibitor Diabetes Mellitus At A Comprehensive Cancer Center, Rebecca Jeun, Priyanka C Iyer, Conor Best, Victor Lavis, Jeena M Varghese, Sireesha Yedururi, Veronica Brady, Isabella C Glitza Oliva, Ramona Dadu, Denai R Milton, Kristy Brock, Sonali Thosani

Faculty, Staff and Student Publications

Introduction: Immune checkpoint inhibitor-associated diabetes mellitus (ICI-DM) is a rare adverse event. In this study, we characterize clinical outcomes of patients with ICI-DM and evaluate survival impact of this complication on melanoma patients.

Research design & methods: We conducted a retrospective review of 76 patients diagnosed with ICI-DM from April 2014 to December 2020.

Results: 68% of patients presented in diabetic ketoacidosis, 16% had readmissions for hyperglycemia, and hypoglycemia occurred in 70% of patients after diagnosis. Development of ICI-DM did not impact overall survival or progression-free survival in melanoma patients.

Conclusion: Development of ICI-DM is associated with long-term insulin dependence …

Hyperphosphorylated Tau In Mesial Temporal Lobe Epilepsy: A Neuropathological And Cognitive Study, Eliana C B Toscano, Érica L M Vieira, Lea T Grinberg, Natalia P Rocha, Joseane A S Brant, Regina S Paradela, Alexandre V Giannetti, Claudia K Suemoto, Renata E P Leite, Ricardo Nitrini, Milene A Rachid, Antonio L Teixeira

Faculty, Staff and Student Publications

Temporal lobe epilepsy (TLE) often courses with cognitive deficits, but its underlying neuronal basis remains unclear. Confluent data suggest that epilepsy share pathophysiological mechanisms with neurodegenerative diseases. However, as most studies analyze subjects 60 years old and older, it is challenging to rule out that neurodegenerative changes arise from age-related mechanisms rather than epilepsy in these individuals. To fill this gap, we conducted a neuropathological investigation of the hippocampal formation of 22 adults with mesial TLE and 20 age- and sex-matched controls (both younger than 60 years). Moreover, we interrogated the relationship between these neuropathological metrics and cognitive performance. Hippocampal …

A Deep-Learning-Based Dose Verification Tool Utilizing Fluence Maps For A Cobalt-60 Compensator-Based Intensity-Modulated Radiation Therapy System, Kyuhak Oh, Mary P Gronberg, Tucker J Netherton, Bishwambhar Sengupta, Carlos E Cardenas, Laurence E Court, Eric C Ford

Faculty, Staff and Student Publications

Background and purpose: A novel cobalt-60 compensator-based intensity-modulated radiation therapy (IMRT) system was developed for a resource-limited environment but lacked an efficient dose verification algorithm. The aim of this study was to develop a deep-learning-based dose verification algorithm for accurate and rapid dose predictions.

Materials and methods: A deep-learning network was employed to predict the doses from static fields related to beam commissioning. Inputs were a cube-shaped phantom, a beam binary mask, and an intersecting volume of the phantom and beam binary mask, while output was a 3-dimensional (3D) dose. The same network was extended to predict patient-specific doses for …

Myosin Light-Chain 4 Gene-Transfer Attenuates Atrial Fibrosis While Correcting Autophagic Flux Dysregulation, Yuan Zhong, Kai Tang, Stanley Nattel, Ming Zhai, Shiyu Gong, Qing Yu, Yanxi Zeng, Guangxi E, Nuerbiyemu Maimaitiaili, Jun Wang, Yawei Xu, Wenhui Peng, Hailing Li

Faculty, Staff and Student Publications

OBJECTIVES: To determine the role of MYL4 regulation of lysosomal function and its disturbance in fibrotic atrial cardiomyopathy.

BACKGROUND: We have previously demonstrated that the atrial-specific essential light chain protein MYL4 is required for atrial contractile, electrical, and structural integrity. MYL4 mutation/dysfunction leads to atrial fibrosis, standstill, and dysrhythmia. However, the underlying pathogenic mechanisms remain unclear.

METHODS AND RESULTS: Rats subjected to knock-in of a pathogenic MYL4 mutant (p.E11K) developed fibrotic atrial cardiomyopathy. Proteome analysis and single-cell RNA sequencing indicate enrichment of autophagy pathways in mutant-MYL4 atrial dysfunction. Immunofluorescence and electron microscopy revealed undegraded autophagic vesicles accumulated in MYL4

CONCLUSIONS: …

An Untrained Deep Learning Method For Reconstructing Dynamic Mr Images From Accelerated Model-Based Data, Kalina P Slavkova, Julie C Dicarlo, Viraj Wadhwa, Sidharth Kumar, Chengyue Wu, John Virostko, Thomas E Yankeelov, Jonathan I Tamir

Faculty, Staff and Student Publications

PURPOSE: To implement physics-based regularization as a stopping condition in tuning an untrained deep neural network for reconstructing MR images from accelerated data.

METHODS: The ConvDecoder (CD) neural network was trained with a physics-based regularization term incorporating the spoiled gradient echo equation that describes variable-flip angle data. Fully-sampled variable-flip angle k-space data were retrospectively accelerated by factors of R = {8, 12, 18, 36} and reconstructed with CD, CD with the proposed regularization (CD + r), locally low-rank (LR) reconstruction, and compressed sensing with L1-wavelet regularization (L1). Final images from CD + r training were evaluated at the "argmin" of …