8 Works

Data from: Automatic segmentation of multiple cardiovascular structures from cardiac computed tomography angiography images using deep learning

Lohendran Baskaran, Subhi J. Al’Aref, Gabriel Maliakal, Benjamin C. Lee, Zhuoran Xu, Jeong W. Choi, Sang-Eun Lee, Ji Min Sung, Fay Y. Lin, Simon Dunham, Bobak Mosadegh, Yong-Jin Kim, Ilan Gottlieb, Byoung Kwon Lee, Eun Ju Chun, Filippo Cademartiri, Erica Maffei, Hugo Marques, Sanghoon Shin, Jung Hyun Choi, Kavitha Chinnaiyan, Martin Hadamitzky, Edoardo Conte, Daniele Andreini, Gianluca Pontone … & Leslee J. Shaw
Objectives: To develop, demonstrate and evaluate an automated deep learning method for multiple cardiovascular structure segmentation. Background: Segmentation of cardiovascular images is resource-intensive. We design an automated deep learning method for the segmentation of multiple structures from Coronary Computed Tomography Angiography (CCTA) images. Methods: Images from a multicenter registry of patients that underwent clinically-indicated CCTA were used. The proximal ascending and descending aorta (PAA, DA), superior and inferior vena cavae (SVC, IVC), pulmonary artery (PA),...

Evaluation of metronomic chemotherapy response using diffusion and dynamic contrast-enhanced MRI

Mehran Baboli, Jin Zhang, Kerryanne Winters, Melanie Freed & Gene Kim
Purpose: To investigate the feasibility of using diffusion MRI (dMRI) and dynamic contrast-enhanced (DCE) MRI to evaluate the treatment response of metronomic chemotherapy (MCT) in the 4T1 mammary tumor model of locally advanced breast cancer. Methods: Twelve Balb/c mice with metastatic breast cancer were divided into treated and untreated (control) groups. The treated group (n=6) received five treatments of anti-metabolite agent 5-Fluorouracil (5FU) in the span of two weeks. dMRI and DCE-MRI were acquired for...

Factors associated with attitudes toward HIV cure research among transgender women and travestis: a cross-sectional survey in São Paulo, Brazil

Robert Wozniak, Cerqueira Natalia, Dantas Maria, Bianca Mahafe, Daniel Barros, Edmilson Alves De Medeiros, Ana Soares De Oliveira, Thiago Sabino, Albert Roggenbuck, Vivian Avelino-Silva, Carrie Johnston, Jez Marston, Sebastian Bidegain, Manya Magnus, Esper Kallas, Douglas Nixon & Camila Donini
Objective: Characterizing the perceptions of groups most affected by HIV is fundamental in establishing guidelines for biomedical advancement. Although Brazil has successfully fought HIV/AIDS through several measures, transgender women still have a likelihood of HIV infection 55 times higher than the general population. This study aimed to better understand the perception and awareness of HIV cure research among the trans-identifying population in São Paulo, Brazil, and to determine factors that motivate or discourage participation in...

Sex-driven modifiers of Alzheimer’s risk: a multi-modality brain imaging study

Aneela Rahman, Eva Schelbaum, Katherine Hoffman, Ivan Diaz, Hollie Hristov, Randolph Andrews, Steven Jett, Hande Jackson, Andrea Lee, Harini Sarva, Silky Pahlajani, Dawn Matthews, Jonathan Dyke, Richard Isaacson, Roberta Brinton & Lisa Mosconi
Objective: To investigate sex differences in late-onset Alzheimer’s disease (AD) risks by means of multi-modality brain biomarkers [β-amyloid load via 11C-PiB PET, and neurodegeneration via 18F-FDG PET and structural MRI]. Methods: We examined 121 cognitively normal participants [85 women and 36 men] ages 40-65, with clinical, laboratory, neuropsychological, lifestyle exams, and MRI, FDG- and PiB-PET exams. Several clinical (e.g. age, education, APOE status, family history), medical (e.g., depression, diabetes, hyperlipidemia), hormonal (e.g. thyroid disease, menopause),...

Characterizing and classifying neuroendocrine neoplasms through microRNA sequencing and data mining

Jina Nanayakkara, Xiaojing Yang, Kathrin Tyryshkin, Justin J.M. Wong, Kaitlin Vanderbeck, Paula S. Ginter, Theresa Scognamiglio, Yao-Tseng Chen, Nicole Panarelli, Nai-Kong Cheung, Frederike Dijk, Iddo Z. Ben-Dov, Michelle Kang Kim, Simron Singh, Pavel Morozov, Klaas E. A. Max, Thomas Tuschl & Neil Renwick
Neuroendocrine neoplasms (NENs) are clinically diverse and incompletely characterized cancers that are challenging to classify. MicroRNAs (miRNAs) are small regulatory RNAs that can be used to classify cancers. Recently, a morphology-based classification framework for evaluating NENs from different anatomic sites was proposed by experts, with the requirement of improved molecular data integration. Here, we compiled 378 miRNA expression profiles to examine NEN classification through comprehensive miRNA profiling and data mining. Following data preprocessing, our final...

Pre-introduction introgression contributes to parallel differentiation and contrasting hybridisation outcomes between invasive and native marine mussels

Iva Popovic, Nicolas Bierne, Federico Gaiti, Miloš Tanurdžić & Cynthia Riginos
Non-native species experience novel selection pressures in introduced environments and may interbreed with native lineages. Species introductions therefore provide opportunities to investigate repeated patterns of adaptation and introgression across replicated contact zones. Here, we investigate genetic parallelism between multiple introduced populations of the invasive marine mussel, Mytilus galloprovincialis, in the absence (South Africa and California) and presence of hybridisation with a native congener (Mytilus planulatus in Batemans Bay and Sydney Harbour, Australia). Repeatability in post-introduction...

Data from: Osteosarcopenia in reproductive-aged women with polycystic ovary syndrome: a multicenter case-control study

Maryam Kazemi, Brittany Jarrett, Stephen Parry, Anna Thalacker-Mercer, Kathleen Hoeger & Steven Spandorfer
Context: Osteosarcopenia (loss of skeletal muscle and bone mass and/or function usually associated with aging) shares pathophysiological mechanisms with polycystic ovary syndrome (PCOS). However, the relationship between osteosarcopenia and PCOS remains unclear. Objective: We evaluated skeletal muscle index% (SMI%=[appendicular muscle mass/weight {kg}]×100) and bone mineral density (BMD) in PCOS (hyperandrogenism+oligoamenorrhea), and contrasted these musculoskeletal markers against 3 reproductive phenotypes: (1) HA (hyperandrogenism+eumenorrhea); (2) OA (normoandrogenic+oligoamenorrhea) and, (3) controls (normoandrogenic+eumenorrhea). Endocrine predictors of SMI% and BMD...

Apolipoprotein L-1 renal risk variants form active channels at the plasma membrane driving cytotoxicity

Joseph Giovinazzo, Joseph A Giovinazzo, Russell P Thomson, Nailya Khalizova, Patrick Zager, Nirav Malani, Enrique Javier Rodriguez-Boulan, Jayne Raper & Ryan Schreiner
Recently evolved alleles of Apolipoprotein L-1 (APOL1) provide increased protection against African trypanosome parasites while also significantly increasing the risk of developing kidney disease in humans. APOL1 protects against trypanosome infections by forming ion channels within the parasite, causing lysis. While the correlation to kidney disease is robust, there is little consensus concerning the underlying disease mechanism. We show in human cells that the APOL1 renal risk variants have a population of active channels at...

Registration Year

  • 2020
    8

Resource Types

  • Dataset
    8

Affiliations

  • Weill Cornell Medicine
    8
  • Icahn School of Medicine at Mount Sinai
    2
  • Emory University School of Medicine
    1
  • Centro Cardiologico Monzino
    1
  • Seoul National University Bundang Hospital
    1
  • Hunter College
    1
  • University of Queensland
    1
  • George Washington University
    1
  • Hadassah Medical Center
    1
  • Sleep Management Institute
    1