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217 results for “T2”
T2 mapping of the sacroiliac joints in patients with axial spondyloarthritis
<p><strong>Purpose: </strong>To test whether T2 mapping of the sacro-iliac joints (SIJs) might help identifying patients with spondyloarthritis.</p> <p><strong>Method: </strong>This study included 20 biologic-naive patients with axial spondyloarthritis (10 females; mean age: 38 ± 9years; range, 19-47) and 27 controls (16 males; mean age = 39 ± 13years; range = 28-71) who prospectively underwent SIJs MRI at 1.5 T, including a multislice multiecho spin-echo sequence. Standard MRIs were reviewed to assess the SIJs according to the Assessment of SpondyloArthritis International Society (ASAS) criteria and SPondyloArthritis Research Consortium of Canada (SPARCC) MRI index. T2 maps obtained from multiecho sequences were used to draw regions of interests in the cartilaginous part of the SIJs. Disease activity was assessed using BASDAI questionnaire. Bland-Altman method, ROC curve analysis, Chi square, Mann-Whitney U, Pearson's and Spearman's correlation coefficient were used for data analysis.</p> <p><strong>Results: </strong>According to ASAS criteria, MRI was positive for sacroiliitis in 5/20 patients (25 %). Inter-observer reproducibility of T2 values was 87 % (coefficient of repeatability = 7.0; bias = 0.49; p < .001). Mean T2 values of patients (58.5 ± 4.4 ms, range: 52.6-68.2 ms) were significantly higher (p < .001) than those of controls (44.1 ± 6.6 ms, range: 33.6-67.2 ms). A T2 value of 52.51 ms yielded 100 % sensitivity and 91.7 % specificity to differentiate patients from controls. No statistically significant association/correlation was found between T2 values and BASDAI (r=-.026, p = .827), disease duration (r = .024, p = .871), SPARCC (r=-.004, p = .981), ASAS criteria (p = .476), HLA-B27-positivity (p = .139), age (r=-.2.53, p = .891), and gender (p = .404).</p> <p><strong>Conclusions: </strong>T2 relaxation times of the SIJs were significantly higher in patients than in healthy controls, making this tool potentially helpful to early identify patients with spondyloarthritis.</p>
SENTINEL-2 SATELLITE IMAGE (2015, AUGUST 7) FOR CHANGE DETECTION ON "MURGIA ALTA" - TIME T2 DATA
<p><strong>Time T2 data:</strong> Sentinel-2 image, 10 bands at 20 meters spatial resolution; 2015, August 7; subset of the "Murgia Alta" protected area; projected in WGS84/UTM33; coregistered on the time T1 data.</p>
FIGURE 7. T2 in Revision of the genus Apophua Morley, 1913, from Japan (Hymenoptera, Ichneumonidae, Banchinae)
FIGURE 7. T2 of Apophua, dorsal view, female.—A, A. aquilonia; B, A. bipunctoria; C, A. elegans sp. nov. (holotype); D, A. evanescens; E, A. honmai; F, A. kikuchii; G, A. maetai; H, A. stena; I, A. sugaharai; J, A. tobensis; K, A. yamato sp. nov. (holotype).
FIGURES 149–159. Female T2, dorsal view. 149 in A revision of the genus Stenonartonia Giordani Soika 1973 (Hymenoptera: Vespidae: Eumeninae)
FIGURES 149–159. Female T2, dorsal view. 149. Stenonartonia rejectoides sp. nov., holotype. 150. S. occipitalis sp. nov., paratype. 151. S. polybioides, lectotype. 152. S. cooperi sp. nov., paratype. 153. S. guaraya sp. nov., holotype. 154. S. mimica, melanic form. 155. S. flavotestacea, melanic form. 156. S. guaranitica. 157. S. apicipennis. 158. S. tanykaju sp. nov., paratype. 159. S. hermetica sp. nov., holotype. Scale = 1 mm.
FIGURE 59. T2 in Revision of the metallic species of Lasioglossum (Dialictus) in Canada (Hymenoptera, Halictidae, Halictini) 2591
FIGURE 59. T2 punctation (A) dense except apical impressed area impunctate, L. tegulare, (B) sparse on apical half, L. ellisiae.
FIGURE 21. T2 in Revision of the metallic species of Lasioglossum (Dialictus) in Canada (Hymenoptera, Halictidae, Halictini) 2591
FIGURE 21. T2 apical impressed area with punctures on medial portion, indicated by arrow, (A) present, (B) absent.
FIGURE 25. T2 in Revision of the metallic species of Lasioglossum (Dialictus) in Canada (Hymenoptera, Halictidae, Halictini) 2591
FIGURE 25. T2 punctation on apical impressed area of female (A) L. abundipunctum, (B) L. reasbeckae.
Data from: A Deep Learning Approach for Fast Muscle Water T2 Mapping with Subject Specific Fat T2 Calibration from Multi-Spin-Echo Acquisitions
<p>This repository contains the imaging data (in NIfTI) and analysis code to reproduce the work presented in <em>"A Deep Learning Approach for Fast Muscle Water T2 Mapping with Subject Specific Fat T2 Calibration from Multi-Spin-Echo Acquisitions"</em> by <strong>Marco Barbieri, Melissa T. Hooijmans, Kevin Moulin, Tyler E. Cork, Daniel B. Ennis, Garry E. Gold, Feliks Kogan and Valentina Mazzoli.</strong></p> <p>Citation: "Barbieri, M., Hooijmans, M.T., Moulin, K. <em>et al.</em> A deep learning approach for fast muscle water T2 mapping with subject specific fat T2 calibration from multi-spin-echo acquisitions. <em>Sci Rep</em> 14, 8253 (2024). https://doi.org/10.1038/s41598-024-58812-2"</p> <p>The source code for setting up the Deep Learning application can be found in the GitHub repository https://github.com/barma7/Deep_Learning_for_Muscle_T2_mapping.git</p>
FIGURE 16. thoracic vertebra T2 in Systematics and palaeobiology of kangaroos of the late Cenozoic genus Protemnodon (Marsupialia, Macropodidae)
FIGURE 16. thoracic vertebra T2 of P. anak NMV P39105.17: line drawings (a–c) and surface scan images (d–f) in (a, d) left lateral, (b, e) cranial, and (c, f) caudal views.
Radiomics metrics combined with clinical data in the surgical management of early-stage (cT1-T2 N0) of tongue squamous cell carcinomas: a preliminary study
<p>We uploaded the clinical and the hematological parameters of enrolled patients in the study "Radiomics metrics combined with clinical data in the surgical management of early-stage (cT1-T2 N0) of tongue squamous cell carcinomas: a preliminary study" accepted on Biology journal.</p> <p>Clinical and hematological parameters include: age; gender; DOI, NLR; PLR; LMR; SIRI; SII; T stage; grading; metastatic lymph nodes; perineural infiltration; vascular infiltration.</p> <p> </p>
Data for growth of marine Trichoderma sp. T2 in ambr250 to produce mucic acid
<p>These files contain data published in the journal article by Tamminen et al. 2022 ...</p> <p>There are 3 files. One contains online and offline data generated when cultivating Trichoderma sp. VTT D-221704 (formerly referred to as T2) or Trichoderma reesei D-161646 on glucose and D-galacturonate containing medium in fed-batch cultivation in the ambr250 robotic microbioreactor system. One file contains CO2 data from 2 L bioreactor cultivations published earlier by Vidgren et al., 2020 for which the CO2 data was not included. And one file contains similar CO2 data from a 1 L and a 250 L bioreactor cultivation, published earlier by Paasikallio et al. 2017, without the CO2 data being referred to.</p>
Data for: Molecular and clinicopathological differences between depressed and protruded T2 colorectal cancer
<p><strong><span>Background</span></strong></p> <p><span>Colorectal cancer (CRC) can be classified into four consensus molecular subtypes (CMS) according to genomic aberrations and gene expression profiles. CMS is expected to be useful in predicting prognosis and selecting chemotherapy regimens. However, there are still no reports on the relationship between the morphology and CMS. </span></p> <p><strong><span>Methods</span></strong></p> <p><span>This retrospective study included 55 subjects with T2 CRC undergoing surgical resection, of whom 30 had the depressed type and 25 the protruded type. In the classification of the CMS, we first defined cases with deficient mismatch repair as CMS1. And then, CMS2/3 and CMS4 were classified using an online classifier developed by Trinh et al. The staining intensity of CDX2, HTR2B, FRMD6, ZEB1, and KER and the percentage contents of CDX2, FRMD6, and KER are input into the classifier to obtain automatic output classifying the specimen as CMS2/3 or CMS4.</span></p> <p><strong><span>Results</span></strong></p> <p><span>According to the results yielded by the online classifier, of the 30 depressed-type cases, 15 (50%) were classified as CMS2/3 and 15 (50%) as CMS4. Of the 25 protruded-type cases, 3 (12%) were classified as CMS1 and 22 (88%) as CMS2/3. All of the T2 CRCs classified as CMS4 were depressed CRCs. More malignant pathological findings such as lymphatic invasion were associated with the depressed rather than protruded T2 CRC cases.</span></p>
Time seqUential theRmal inFrared - Turbulence campaign 2 - TURF-T2 Experiment data
<p>This dataset is a thermal infrared dataset collected alongside with sonic anemometer and thermocouple data. The experiment took place on the 17/01/2020 starting at 14:25:01 NZDT and ending at 14:38:01 NZDT. The collection of the infrared data was done via uncrewed aerial vehicle with an Optris PI 450 camera flying above a TURF Sportsground located at N -43.29186830137823, E 172.6008992376682.</p>
HF03 T2
Source: Objaverse 1.0 / Sketchfab
FIGURE 38. T2 in Revision of the metallic Lasioglossum (Dialictus) of eastern North America (Hymenoptera: Halictidae: Halictini)
FIGURE 38. T2 punctures (A) dense basal to premarginal line, (B) sparse basal to premarginal line (L. ellisiae). (From Gibbs 2010b).
FIGURE 31. T2 in Revision of the metallic Lasioglossum (Dialictus) of eastern North America (Hymenoptera: Halictidae: Halictini)
FIGURE 31. T2 apical impressed area, indicated by arrow (A) punctate, (B) impunctate. (From Gibbs 2010b).
FIGURES 176–177. Metasomal T2–T3 in Fifteen new species of Chilicola (Oroediscelis) (Hymenoptera: Colletidae: Xeromelissinae) with illustrated keys to the males and females of the subgenus
FIGURES 176–177. Metasomal T2–T3, dorsal view, to show surface sculpture. 176. punctures mostly small (C. transversaria); 177. punctures mostly moderately large (C. brzoskai).
FIGURES 151–152. T1–T2 in Fifteen new species of Chilicola (Oroediscelis) (Hymenoptera: Colletidae: Xeromelissinae) with illustrated keys to the males and females of the subgenus
FIGURES 151–152. T1–T2 dorsal view to show: 151. presence (C. caPillitas paratype) and 152. absence of punctation on apical impressed area medially (C. carPenteri paratype).
Data and code from: Improving accuracy and reproducibility of cartilage T2 mapping in the OAI dataset through extended phase graph modeling
<p>The repository contains the OAI data used to run the experiments reported in the study "Improving accuracy and reproducibility of cartilage T2 mapping in the OAI dataset through extended phase graph modeling", along with their segmentation and processed T2 maps with the different fitting algorithms.</p> <p>The <em><strong>code_repository</strong></em> folder contains a snapshot of the <a href="https://github.com/barma7/EPGfit_for_cartilage_T2_mapping">GitHub repository</a> at the time of the submission of the manuscript. Please visit the GitHub repository for the latest version. </p>
Raw Data Selfassessment / Online Survey (t1, t2)
<p>The dataset includes the raw data from the selfassessment / online survey of t1 and t2 from the project.</p>
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
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DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.