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10,694 results for “carcinoma,”
PLATE 12. FIGURES 152–165 in Carcinoma Folicular de Tiroides concomitante con Hiperparatiroidismo Primario. Caso Clínico
PLATE 12. FIGURES 152–165. Colour patterns for male thorax. For each species first figure is with anterior illumination and second figure with posterior illumination, except for Fig. 153 in which the specimen is positioned dorso-laterally. 152, 153: S. bifenestratum (After Hamada & Pepinelli, 2004); 154, 155: S. dekeyseri paratype; 156, 157: S. distinctum; 158, 159: S. empascae; 160, 161: S. friedlanderi; 162, 163: S. jefersoni paratype; 164, 165: S. obesum.
PLATE 8. FIGURES 106–112 in Carcinoma Folicular de Tiroides concomitante con Hiperparatiroidismo Primario. Caso Clínico
PLATE 8. FIGURES 106–112. Female gonapophyses of: 106: S. bifenestratum (After Hamada & Pepinelli, 2004); 107: S. dekeyseri paratype; 108: S. distinctum lectotype; 109: S. empascae; 110: S. friedlanderi; 111: S. jefersoni paratype; 112: S. obesum.
PLATE 22. FIGURES 253–260 in Carcinoma Folicular de Tiroides concomitante con Hiperparatiroidismo Primario. Caso Clínico
PLATE 22. FIGURES 253–260. Right gill fill of: 253: S. papaveroi (After Coscarón, 1982); 254: S. pertinax; 255: S. riograndense; 256: S. serranus; 257: S. spinibranchium; 258: S. subpallidum (common pattern, "form" with eight); 259: S. subpallidum (variation, "form" with 8); 260: S. subpallidum ("form" with six filament). [Scale bar for all figures except Fig. 254.]
PLATE 11. FIGURES 137–151 in Carcinoma Folicular de Tiroides concomitante con Hiperparatiroidismo Primario. Caso Clínico
PLATE 11. FIGURES 137–151. Female genital fork of: 137: S. bifenestratum (After Hamada & Pepinelli, 2004); 138: S. dekeyseri paratype; 139: S. distinctum lectotype; 140: S. empascae; 141: S. friedlanderi; 142: S. jefersoni paratype; 143: S. obesum; 144: S. papaveroi (After Coscarón, 1982); 145: S. pertinax; 146: C. flavifemur paralectotype; 147: T. lutziana paralectotype; 148: S. riograndense; 149: S. serranus; 150: S. spinibranchium; 151: S. subpallidum.
PLATE 14. FIGURES 180–193 in Carcinoma Folicular de Tiroides concomitante con Hiperparatiroidismo Primario. Caso Clínico
PLATE 14. FIGURES 180–193. Male gonocoxite and gonostyle of: 180: S. bifenestratum (After Hamada & Pepinelli, 2004); 181: S. dekeyseri paratype; 182: S. distinctum; 183: S. empascae; 184: S. friedlanderi; 185: S. jefersoni paratype; 186: S. obesum; 187: S. papaveroi (After Coscarón, 1982); 188: S. pertinax; 189: S. riograndense; 190: S. serranus paratype; 191: S. spinibranchium; 192: S. subpallidum (longitudinal ridge undeveloped); 193: S. subpallidum (longitudinal ridge developed). [Scale bars for all photographs except for photographs 180, 187.]
PLATE 19. FIGURES 232–239 in Carcinoma Folicular de Tiroides concomitante con Hiperparatiroidismo Primario. Caso Clínico
PLATE 19. FIGURES 232–239. Lateral view of cocoon and pupal exuviae of: 232: S. bifenestratum (After Hamada & Pepinelli, 2004) (dorsal view); 233: S. dekeyseri paratype; 234: S. distinctum; 235: S. empascae; 236: S. friedlanderi; 237: S. jefersoni paratype; 238: S. obesum; 239: S. papaveroi (After Coscarón, 1982) [Scale bar for all photographs except photographs 232, 239.]
PLATE 15. FIGURES 194–205 in Carcinoma Folicular de Tiroides concomitante con Hiperparatiroidismo Primario. Caso Clínico
PLATE 15. FIGURES 194–205. Male ventral plate of: 194: S. bifenestratum (After Hamada & Pepinelli, 2004); 195: S. dekeyseri paratype; 196: S. distinctum; 197: S. empascae; 198: S. friedlanderi; 199: S. jefersoni paratype; 200: S. obesum; 201: S. pertinax; 202: S. riograndense; 203: S. serranus paratype; 204: S. spinibranchium; 205: S. subpallidum [Scale bars for all photographs except photograph 194].
PLATE 20. FIGURES 240–244 in Carcinoma Folicular de Tiroides concomitante con Hiperparatiroidismo Primario. Caso Clínico
PLATE 20. FIGURES 240–244. Cocoon and pupal exuviae of: 240: S. pertinax; 241: S. riograndense; 242: S. serranus (After Coscarón, 1981); 243: S. spinibranchium; 244: S. subpallidum [Scale bar for all photographs except photograph 242]
PLATE 13. FIGURES 166–179 in Carcinoma Folicular de Tiroides concomitante con Hiperparatiroidismo Primario. Caso Clínico
PLATE 13. FIGURES 166–179. Colour patterns for male thorax. For each species first figure is with anterior illumination and second figure with posterior illumination. 166, 167: S. pertinax; 168, 169: S. riograndense; 170, 171: S. serranus paratype; 172, 173: S. spinibranchium; 174–177: S. subpallidum colouration forms, 174, 175: Orange form; 176, 177: Grey form; 178, 179: Black form.
PLATE 9. FIGURES 113–120 in Carcinoma Folicular de Tiroides concomitante con Hiperparatiroidismo Primario. Caso Clínico
PLATE 9. FIGURES 113–120. Female gonapophyses of: 113: S. papaveroi (After Coscarón, 1982); 114: S. pertinax; 115: C. flavifemur paralectotype; 116: T. lutziana paralectotype; 117: S. riograndense; 118: S. serranus; 119: S. spinibranchium; 120: S. subpallidum.
PLATE 18. FIGURES 227–231 in Carcinoma Folicular de Tiroides concomitante con Hiperparatiroidismo Primario. Caso Clínico
PLATE 18. FIGURES 227–231. Male paramere of: 227: S. pertinax; 228: S. riograndense; 229: S. serranus paratype; 230: S. spinibranchium; 231: S. subpallidum.
PLATE 10. FIGURES 121–136 in Carcinoma Folicular de Tiroides concomitante con Hiperparatiroidismo Primario. Caso Clínico
PLATE 10. FIGURES 121–136. Female cercus and paraproct of: 121: S. bifenestratum (After Hamada & Pepinelli, 2004); 122: S. dekeyseri paratype; 123: S. distinctum lectotype; 124: S. distinctum, São Paulo, Brazil; 125: S. empascae; 126: S. friedlanderi; 127: S. jefersoni paratype; 128: S. obesum; 129: S. papaveroi (After Coscarón, 1982); 130: S. pertinax; 131: C. flavifemur paralectotype; 132: T. lutziana paralectotype; 133: S. riograndense; 134: S. serranus; 135: S. spinibranchium; 136: S. subpallidum.
Single-cell spatial architectures associated with clinical outcome in head and neck squamous cell carcinoma
<p>Data supporting the findings of the paper "<a href="https://doi.org/10.1038/s41698-022-00253-z">Single-cell spatial architectures associated with clinical outcome in head and neck squamous cell carcinoma</a>." Files include output of multiplex immunohistochemistry computational image processing workflow for each tumor region and survival data for each patient. The code used to produce the results of this study is available at: <a href="https://github.com/kblise/HNSCC_mIHC_paper">https://github.com/kblise/HNSCC_mIHC_paper</a>.</p> <p>Notes about data files:</p> <ul> <li>clinicalData.csv = Contains the following columns for each tumor region: <ul> <li>sample = tumor region ID</li> <li>dtr = Progression free survival (days to recurrence)</li> <li>tnm = TNM stage</li> <li>anatomy = anatomic site of resection</li> <li>tx = therapy administered</li> <li>area = area in mm<sup>2</sup> of tissue region</li> </ul> </li> <li>pt .csv files = Matrix of single cells (rows) and marker expression (columns). One file per tumor region (n=47). Other columns include: <ul> <li>class = Cell phenotype assigned via hierarchical gating strategy (see below for classes)</li> <li>Location_Center_X and Location_Center_Y = Cartesian coordinates of cell center</li> <li>Cellsp_PD1p = PD-1 expression; 1 = PD-1<sup>+</sup>, 0 = PD-1<sup>-</sup></li> <li>Cellsp_PDL1p = PD-L1 expression; 1 = PD-L1<sup>+</sup>, 0 = PD-L1<sup>-</sup></li> <li>Cellsp_KI67p = Ki-67 expression; 1 = Ki-67<sup>+</sup>, 0 = Ki-67<sup>-</sup></li> </ul> </li> </ul> <p>Classes, corresponding cell phenotype, and gating strategy used:</p> <ul> <li>A = CD8<sup>+</sup> T Cell (CD45<sup>+</sup> CD20<sup>-</sup> CD3<sup>+</sup> CD8<sup>+</sup>)</li> <li>B = CD4<sup>+</sup> T Helper (CD45<sup>+</sup> CD20<sup>-</sup> CD3<sup>+</sup> CD8<sup>-</sup> FOXP3<sup>-</sup>)</li> <li>C = B Cell (CD45<sup>+</sup> CD20<sup>+</sup>)</li> <li>D = Macrophage (CD45<sup>+</sup> CD20<sup>-</sup> CD3<sup>-</sup> CD66B<sup>-</sup> CD68<sup>+</sup>)</li> <li>E = Other Immune (CD45<sup>+</sup> CD20<sup>-</sup> CD3<sup>-</sup> CD66B<sup>-</sup> CD68<sup>-</sup> MHCII<sup>- </sup>CD8<sup>-</sup> FOXP3<sup>-</sup>)</li> <li>F = Other Non-Immune (CD45<sup>-</sup> PANCK<sup>- </sup>αSMA<sup>-</sup>) - excluded from analysis</li> <li>G = Noise - excluded from analysis</li> <li>H = Neoplastic Tumor (CD45<sup>-</sup> PANCK<sup>+</sup>)</li> <li>J = Granulocyte (CD45<sup>+</sup> CD20<sup>-</sup> CD3<sup>-</sup> CD66B<sup>+</sup>)</li> <li>K = CD4<sup>+</sup> Regulatory T Cell (CD45<sup>+</sup> CD20<sup>-</sup> CD3<sup>+</sup> CD8<sup>-</sup> FOXP3<sup>+</sup>)</li> <li>N = αSMA<sup>+</sup> Mesenchymal (CD45<sup>-</sup> PANCK<sup>- </sup>αSMA<sup>+</sup>)</li> <li>X = Antigen Presenting Cell (CD45<sup>+</sup> CD20<sup>-</sup> CD3<sup>-</sup> CD66B<sup>-</sup> CD68<sup>-</sup> MHCII<sup>+</sup>)</li> </ul>
New incidence or recurrence hepatocellular carcinoma (HCC) in genotype 4 hepatitis C virus treated with sofosbuvir/daclatasvir with or without ribavirin
<p><span><b>Background</b>: Several studies have resulted in controversial data about the recurrence or new incidence of hepatocellular carcinoma (HCC) in patients with hepatitis C who were treated with direct-acting antivirals (DAAs). </span></p> <p><span><b>Aim:</b> This observational study aimed to assess the occurrence rate of HCC in patients who developed a sustained virological response (SVR).. </span></p> <p><span><b>Methods</b>: A six-month prospective study was done at the National Hepatology and Tropical Medicine Research Institute [NHTMRI] in Cairo, Egypt on 150 chronic hepatitis C (CHC) patients treated with sofosbuvir and daclatasvir with or without ribavirin. Patients were assigned into two groups according to their laboratory values to either receive sofosbuvir/daclatasvir and ribavirin (S/D/R) or receive only sofosbuvir/daclatasvir (S/D). The main outcome measure was the occurrence of HCC.</span></p> <p><span><b>Results</b>: SVR-12 was 100%. 8.5% of patients developed HCC in the S/D/R group, while 0% in the S/D group.</span></p> <p><span><b>Conclusion:</b> New incidence or recurrence of HCC may occur in CHC genotype 4 cirrhotic patients receiving sofosbuvir/daclatasvir and ribavirin (difficult to treat) although achieving SVR. The cause of HCC development in this study is cirrhosis, not the administered DAAs.</span></p>
Endometrium Carcinoma Pipelle biopsies
<p>The dataset consists of n=91 digital pathology whole-slide images (WSI) of endometrium carcinoma Pipelle biopsies, stained with hematoxylin and eosin (H&E) at Radboud University Medical Centers, Nijmegen (The Netherlands).</p> <p>The WSIs were scanned with a 3DHistech P1000 scanners at 0.25 um/px spacing, originally stored in MRXS file format. However, the WSIs made available here have been converted to TIFF format with a maximum spacing of 0.5 um/px. This was done to make slides broadly accessible (since MRXS files are sometimes not compatible with some digital pathology viewers or APIs).</p> <p>Together with the data, we have released a web-based evaluation platform via the <a href="https://grand-challenge.org/">grand-challenge.org</a> platform, which can be found at this link: <a href="https://breastpleomorphism.grand-challenge.org/">https://breastpleomorphism.grand-challenge.org/</a>. In this way, researchers can download the WSI from Zenodo, process them with their algorithm to predict a single grading score for each slide, compile the predictions as indicated on the grand-challenge.org page, and submit them, to compare the results with the opinion of a panel of fifteen pathologists.</p> <p>The data is released under CC BY-NC 4.0 license</p>
Supplementary files for the article entitled: PIEZO2 promotes cell proliferation and metastasis in colon carcinoma through the SLIT2/ROBO1/VEGFC pathway
<p>All results were analyzed using the Statistical Package for the Social Sciences version 20.0 (IBM Corporation, Armonk, NY, USA). The results of Schoenfeld residuals method were analyzed using the R 4.2.2 software and survminer package.</p>
Laser Ablation Inductively Coupled Plasma Mass Spectrometric Quantification of Isotope Trace Elements in Human Carcinoma Tissue - Stochastic Dynamics and Theoretical Analysis (SUPPORTING INFORMATION)
<p>Supporting information file of publication [https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4334866]. </p>
Silencing of TRAF5 enhances necroptosis in hepatocellular carcinoma by inhibiting LTBR-mediated NF-κB signaling
<p>Raw data of the article titled Silencing of TRAF5 enhances necroptosis in hepatocellular carcinoma by inhibiting LTBR-mediated NF-κB signaling</p>
Master chart- Oral Squamous Cell Carcinoma cases
<p>Details of OSCC patients demographic data , clinical and histopathological diagnosis</p>
Basal cell carcinoma diagnosis with fusion of deep learning and telangiectasia features
<p>Telangiectasia masks dataset created on a subset of the ISIC18, ISIC19 training datasets and the NIH study dataset R43 CA153927-01 and CA101639-02A2. All annotations are for Basal Cell Carcinoma lesions. This is an expanded dataset that was initially used in “<a href="https://onlinelibrary.wiley.com/doi/10.1111/srt.13150">A Deep Learning Approach to Detect Blood Vessels in Basal Cell Carcinoma</a>”.</p> <p>A sample lesion image and the corresponding mask is provided for preview. Lesion images and masks have been uploaded as separate zipped folders that can be downloaded.</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)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
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.