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- Creator:
- Lockhart, Nancy
- Description:
- GRAND is a five-year, cluster randomized controlled trial. The study is registered on ClinicalTrials.gov, [ID#: NCT04033003] and is a collaboration between University of Michigan in the United States and the Dodowa Health Research Center in Ghana. and The study setting for GRAND is four districts (Akwapim North, Yilo Krobo, Nsawam-Adoagyiri, and Lower Manya Krobo) within the Eastern Region of Ghana. Health facilities were selected based the number ANC registrants per month and average gestational age of women at registration in each facility. Facilities were then matched based on facility type, district, and number of monthly ANC registrants.
- Keyword:
- Antenatal care, Ghana, and Maternal health
- Discipline:
- Health Sciences and International Studies
2Works -
ABC Baby Study
User Collection
- Creator:
- Lumeng, Julie C
- Description:
- The primary goal of this project was to identify domains of infant eating behavior and their trajectories over the first year of life. A convenience sample of 284 mother-infant dyads was recruited and enrolled from communities within a 1-hour driving distance of Ann Arbor, Michigan, via social media; flyers in outpatient pediatric clinics and community settings; and targeted outreach by telephone, email, and mail to pregnant women and mothers of newborn infants receiving care within the University of Michigan health system between October 2015 and February 2019. The planned sample size was based on a priori power calculations anticipating 3-5 eating behavior factors, each with 3 different trajectories, providing 81% power to detect a 10% or more change in the likelihood of exhibiting one of an anticipated 3 trajectory patterns of infant growth; the ultimate sample size of 284 was based on feasibility related to recruitment and retention. , The study included a repeated-measures, within-participant experimental design embedded within a longitudinal observational cohort study. The goal was to examine the development of infant eating behavior longitudinally at ages 0.5, 2, 4, 6, 9 and 12 months based on data collected from questionnaires, eating behavior experiments, and anthropometry via home visits by trained research staff. The study was described to participants as seeking to understand infant eating behavior and interactions between mothers and babies in the first year after birth. Inclusion criteria were gestational age of 37.0 to 42.0 weeks, weight appropriate for gestational age, no significant perinatal or neonatal complications, biological mother was the legal and custodial guardian, and infant’s having had consumed 2 oz or more in 1 feeding from an artificial nipple at least once per week. Exclusion criteria were mother not fluent in English; mother younger than 18 years; infant medical problems or diagnosis affecting current or future eating, growth, or development; or child protective services involvement. Mothers provided written informed consent for themselves and their infants. The study was approved by the University of Michigan institutional review board. To facilitate recruitment, dyads could be enrolled at 1 of 3 age points up to and including age 4 months; data collected at enrollment are referred to as baseline. , and Mothers responded to questionnaires on demographics, psychosocial stress, perinatal history, feeding behaviors and practices, sleep, their own eating behaviors, infant temperament, their own and the infant’s diet, and infant eating behaviors. Maternal and infant anthropometry was measured by trained research assistants. Mother-infant dyads participated in protocols designed to measure infant response to sucrose, infant ability to delay gratification, infant response to a challenging feeding, the relative reinforcing value of food, eating in the absence of hunger, capacity for regulation of energy intake in response to more frequent feedings and in response to increased caloric density, and response to novel and familiar foods. Maternal feeding behaviors were also coded from video. Biological samples included infant stool and maternal breastmilk.
- Keyword:
- infant, eating, weight gain, and sucking
- Discipline:
- Health Sciences
4Works -
Radionuclide PET/CT, SPECT/CT, and Contours Collection
User Collection
- Creator:
- Van, Benjamin and Dewaraja, Yuni
- Description:
- Interest in quantitative imaging of Y-90 and Lu-177 is growing due to their increased use as minimally invasive treatments for primary and metastatic tumors such as HCC and NETs. Accurate quantification of the 3D activity distribution for voxel-level dosimetry requires SPECT/CT and PET/CT imaging. This collection provides research access to anonymized PET/CT and SPECT/CT scans along with the relevant lesion/organ contours taken from University of Michigan clinical research studies of selected patients undergoing radionuclide treatments. All patients signed an informed consent to participate in the research studies. See the readme in each dataset for information on use and citation of this data.
- Discipline:
- Health Sciences
1Works -
Preterm Birth
User Collection- Creator:
- Betsy Foxman
- Description:
- This collection has been retired as of Sept 28. 2020 and replaced with the "Preterm Birth" work listed below.
- Discipline:
- Health Sciences
1Works -
Transmission of Oral microbiome and Sequencing
User Collection
- Creator:
- Lee, Kyu Han
- Description:
- De-identified participant data from household transmission study of influenza in Nicaragua Oligotype count table and taxonomic classifications
- Keyword:
- Influenza and Microbiome
- Discipline:
- Health Sciences
2Works -
- Creator:
- Hatch, Nan E.
- Description:
- Craniosynostosis is the premature fusion of cranial bones. The goal of this study was to determine if delivery of recombinant tissue nonspecific alkaline phosphatase (TNAP) could prevent or diminish the severity of craniosynostosis in a C57BL/6 FGFR2C342Y/+ model of neonatal onset craniosynostosis or a BALB/c FGFR2C342Y/+ model of postnatal onset craniosynostosis. Mice were injected with a lentivirus encoding a mineral targeted form of TNAP immediately after birth. Cranial bone fusion as well as cranial bone volume, mineral content and density were assessed by micro computed tomography. Craniofacial shape was measured with calipers., Alkaline phosphatase, alanine amino transferase (ALT) and aspartate amino transferase (AST) activity levels were measured in serum. Neonatal delivery of TNAP diminished craniosynostosis severity from 94% suture obliteration in vehicle treated mice to 67% suture obliteration in treated mice, p<0.02) and the incidence of malocclusion from 82.4% to 34.7% (p<0.03), with no effect on cranial bone in C57BL/6 FGFR2C342Y/+ mice. In contrast, treatment with TNAP improved cranial bone volume (p< 0.01), density (p< 0.01) and mineral content (p< 0.01) but had no effect on craniosynostosis or malocclusion in BALB/c FGFR2C342Y/+ mice. , These results indicate that post-natal recombinant TNAP enzyme therapy diminishes craniosynostosis severity in the C57BL/6 FGFR2C342Y/+ neonatal onset mouse model of Crouzon syndrome, and that effects of exogenous TNAP are genetic background dependent., and Included in this collection is one set of images representing the C57BL/6 FGFR2C342Y/+ model of neonatal onset craniosynostosis, and one for the BALB/c FGFR2C342Y/+ model of postnatal onset craniosynostosis
- Keyword:
- craniofacial, bone, craniosynostosis, FGFR2, TNAP, mouse model, and development
- Discipline:
- Health Sciences
2Works -
- Creator:
- MacEachern, Mark
- Description:
- This collection contains literature searches for published evidence syntheses in the health sciences.
- Keyword:
- health sciences, evidence syntheses, systematic reviews, scoping reviews, and literature searches
- Discipline:
- Health Sciences
20Works -
- Creator:
- Figueroa, Carlos A., Computational Vascular Biomechanics Lab, University of Michigan, and et al.
- Description:
- This collection concerns the CRIMSON (CardiovasculaR Integrated Modelling and SimulatiON) software environment. CRIMSON provides a powerful, customizable and user-friendly system for performing three-dimensional and reduced-order computational haemodynamics studies via a pipeline which involves: 1) segmenting vascular structures from medical images; 2) constructing analytic arterial and venous geometric models; 3) performing finite element mesh generation; 4) designing, and 5) applying boundary conditions; 6) running incompressible Navier-Stokes simulations of blood flow with fluid-structure interaction capabilities; and 7) post-processing and visualizing the results, including velocity, pressure and wall shear stress fields. , The minimum specifications to run CRIMSON are: Any AMD64 CPU (note: Intel Core i series are AMD64), Windows (only tested on Windows 10 but might work on Windows 7), 8 GB of RAM , If you are running non-trivial models you will want to have: Quad core CPU or higher, Solid state drive for storing data, Windows, 16 GB of RAM, Dedicated discrete GPU for rendering models. , and Software in this collection is a snapshot; please visit https://github.com/carthurs/CRIMSONGUI & www.crimson.software for more general information and the most up to date version of the software.
- Keyword:
- Blood Flow Simulation, Patient-specific, Open-source Software, Image-based simulation, Cardiovascular Medical Image, Segmentation, and Finite Element Simulation
- Citation to related publication:
- CRIMSON: An Open-Source Software Framework for Cardiovascular Integrated Modelling and Simulation C.J. Arthurs, R. Khlebnikov, A. Melville, et al. bioRxiv 2020.10.14.339960; doi: https://doi.org/10.1101/2020.10.14.339960
- Discipline:
- Health Sciences and Engineering
4Works -
Lu-177 DOTATATE Anonymized Patient Datasets
User Collection
- Creator:
- Dewaraja, Yuni K and Van, Benjamin J
- Description:
- This collection is comprised of a number of works that collectively represent the imaging studies and information necessary for dosimetric analysis of a patient treated with Lutathera. All works may be used as standalone datasets or in conjunction with the others in this collection depending on the analysis performed. Files are stored using the DICOM standard widely accepted for storage and transmission of medical images and related information. All patient private information has been anonymized using MIM commercial software (MIM Software Inc.). Data from 2 patients, referred to as patient 4 and patient 6, has been provided in this collection and is divided among 6 works as outlined below:, 1) Pre-Therapy Diagnostic Images. Description: Patient diagnostic scans performed prior to Lutathera treatment. Used for identifying lesions and measuring progression. Note that the date of the baseline scan may be several months before the Lutathera treatment and changes in the anatomy are possible. Files: (1) Ga68 Dotatate PET/CT, Either: (1) MRI, (1) standalone diagnostic CT, 2) Planar Whole Body Scans. Description: Planar whole body Lu-177 scans taken at 4 time points within a week after treatment. Two views (Anterior and Posterior) and 3 energy windows (one main window at 208 keV and 2 adjacent scatter windows) are available for each time point. The units of this image is counts. Energy window information, acquisition data/time and duration can be found in DICOM header. Files: (6) individual images at each time point (24 total images per patient) , 3) SPECT/CT Scans. Description: Lu-177 SPECT/CT scans at 4 time points within a week after treatment (same time points as the planar scans). Images were acquired on a Siemens Intevo system and reconstructed using xSPECT Quant. The units of this image is Bq/mL. Information on the reconstruction, acquisition date/time, duration, Lu-177 administration time and activity can be found in the DICOM header. Files: (1) Folder with reconstructed SPECT slices per time point (4 folders total per patient), (1) Folder containing co-registered CT slices per time point (4 folders total per patient), 4) Lesion and Organ Volumes of Interest. Description: DICOM RT structure files containing organ and lesion volumes of interest (VOI) that were defined on the CT of the scan1 SPECT/CT in 3). Organs were defined using semi-automatic tools (atlas based and CNN-based) while lesions were defined manually by a radiologist guided by baseline scans. Only lesions >2 cc were defined. Files: (1) File containing organ contours, (1) File containing lesion contours, 5) Time Integrated Activity Maps. Description: A DICOM file containing the time-integrated activity map over all 4 time points within a week after treatment. This combines the SPECT/CT scans provided in 3) into a single integrated activity map. This map was generated via the MIM MRT Dosimetry package: The 4 time points were registered to the reference SPECT scan (time point 1) using a contour intensity based SPECT alignment and the voxel-level time-activity data was fit using exponential functions. Voxel-level integration was performed to generate the TIA map. The units of this image is Bq/mL * sec. Files: (1) Folder with Time-integrated activity image per patient, and 6) Projection Data and CT based Attenuation Coefficient Maps. Description: SPECT projection data for each of the 4 Lutathera scans taken within a week after treatment is provided in 3 forms: unaltered, Siemens [Reformatted], and Siemens [Advanced]. The difference between the Projections and the [Advanced] Projections is that the [Advanced] consists of uncorrected raw projection data and the other the corrected projection data (e.g. camera uniformity corrections). The [Advanced] projections are used in xSPECT reconstruction (where all corrections are done during the reconstruction), while the other is used in Flash 3D reconstruction. CT-based attenuation coefficient maps (mumaps) are provided for each of the 4 scans taken within a week after treatment. Two methods are provided for each mumap: xSPECT and F3D as the matrix size is different for the 2 cases (256 x 256 for xSPECT and 128 x 128 for Flash3D). Files: (3) Folders containing raw SPECT projections, (2) Folders containing CT attenuation coefficient maps (mumaps)
- Keyword:
- Lu-177, Lutathera, Dosimetry, Radionuclide, and CTMRIPET
- Discipline:
- Health Sciences
6Works