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Part 1: Document Description
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Citation |
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Title: |
Histopathology of thymectomy specimens from the MGTX-trial |
Identification Number: |
doi:10.11588/data/NWE2JJ |
Distributor: |
heiDATA |
Date of Distribution: |
2018-05-18 |
Version: |
1 |
Bibliographic Citation: |
Cleo-Aron Weis, 2018, "Histopathology of thymectomy specimens from the MGTX-trial", https://doi.org/10.11588/data/NWE2JJ, heiDATA, V1, UNF:6:Od2UlnHG3ctanb4ikzIx4g== [fileUNF] |
Citation |
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Title: |
Histopathology of thymectomy specimens from the MGTX-trial |
Subtitle: |
Database from the analysis of morphological of thymectomy specimens obtained in the MGTX-trial |
Identification Number: |
doi:10.11588/data/NWE2JJ |
Authoring Entity: |
Cleo-Aron Weis (Institute of Pathology, University Medical Centre Mannheim) |
Producer: |
Cleo-Aron Weis |
Software used in Production: |
Microsoft Excel |
Distributor: |
heiDATA |
Access Authority: |
Institute of Pathology, University Medical Centre Mannheim |
Date of Deposit: |
2018-04-12 |
Series Information: |
Spreadsheet with data on the macroscopy and microscopy of thymectomie specimens (e.g. estimated fat content, counted number of follicles per slide). Furthermore it contains basic clinical information (e.g. age, gender, MG-duration). Dealing with spatial data (due to a spatial work-up regime) the database is divided into a sheet for patient data (dataPatient), a sheet for summative data of all regions (dataAllRegions) and a sheet for data of the central region A (dataARegion). |
Holdings Information: |
https://doi.org/10.11588/data/NWE2JJ |
Study Scope |
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Keywords: |
Medicine, Health and Life Sciences, MGTX |
Abstract: |
<b>Background:</b><br /> The thymectomy specimens from the “thymectomy trial in non-thymomatous myasthenia gravis patients receiving prednisone therapy” (MGTX) [1] underwent rigid and comprehensive work-up, which results in a unique, spatially mapped dataset. <br /> <p><img src="https://heidata.uni-heidelberg.de/api/access/datafile/1586?imageThumb=400&pfdrid_c=true"></p> <b> Fig. 1 Specimen work-up:</b><br /> Work-up scheme for the specimens in the MGTX trial [1, 2]. Thymuses were sub-divided into regions that underwent predefined evaluation (e.g. complete work-up of the central A-region, partial work-up of other regions) <br /> <b>Content:</b><br /> A xlsx-file with one table for patient data (“dataPatients” with age, gender etc.), one table with histomorphological data for the specimen regions (“dataAllRegions” with grading atrophy, grading overall fat etc.) and one table for the follicle morphology in the A region (“dataARegion” with n follicle with germinal centre etc.). <br /> <b> References:</b><br /> 1. Wolfe, G.I., et al., Randomized Trial of Thymectomy in Myasthenia Gravis. N Engl J Med, 2016. 375(6): p. 511-22. < /> 2. Ströbel, P., et al., The ageing and myasthenic thymus: A morphometric study validating a standard procedure in the histological workup of thymic specimens. Journal of Neuroimmunology, 2008. 201–202: p. 64-73. |
Kind of Data: |
Excel spreadsheet |
Methodology and Processing |
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Sources Statement |
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Data Access |
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Other Study Description Materials |
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Related Publications |
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Citation |
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Title: |
Weis CA, Aban IB, Cutter G, Kaminski HJ, Scharff C, et al. (2018) Histopathology of thymectomy specimens from the MGTX-trial: Entropy analysis as strategy to quantify spatial heterogeneity of lymphoid follicle and fat distribution. PLOS ONE 13(6): e0197435. |
Identification Number: |
10.1371/journal.pone.0197435 |
Bibliographic Citation: |
Weis CA, Aban IB, Cutter G, Kaminski HJ, Scharff C, et al. (2018) Histopathology of thymectomy specimens from the MGTX-trial: Entropy analysis as strategy to quantify spatial heterogeneity of lymphoid follicle and fat distribution. PLOS ONE 13(6): e0197435. |
File Description--f1643 |
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File: dataBase.tab |
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Notes: |
UNF:6:Od2UlnHG3ctanb4ikzIx4g== |
List of Variables: |
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Variables |
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f1643 Location: |
Variable Format: character Notes: UNF:6:5nviOTwldVcyLN1qH98Qgw== |
f1643 Location: |
Summary Statistics: Max. 63.0; Min. 18.0; StDev 12.538909140122293; Valid 55.0; Mean 33.872727272727275 Variable Format: numeric Notes: UNF:6:RBn77Q5pYDNw5i5E0vgKLQ== |
f1643 Location: |
Variable Format: character Notes: UNF:6:O4L5cqcAwGfKpObOqx448w== |
f1643 Location: |
Summary Statistics: Valid 54.0; Mean 74.91851851851852; Max. 127.0; Min. 48.0; StDev 17.572910907524726 Variable Format: numeric Notes: UNF:6:bQmVHhQSuqOjolJ1Pe+m0g== |
f1643 Location: |
Summary Statistics: Min. 18.524180751367556; Max. 44.5369406867846; Mean 26.679419410929953; StDev 6.329957101777725; Valid 54.0 Variable Format: numeric Notes: UNF:6:SKwLNABE+fu17qGeWgA/1Q== |
f1643 Location: |
Summary Statistics: Valid 11.0; Mean 8.590909090909092; Min. 4.6; StDev 2.0724162446065444; Max. 11.4; Variable Format: numeric Notes: UNF:6:TtCN9oXf6JT5wCuKAMStVA== |
f1643 Location: |
Summary Statistics: Min. 3.01; Max. 39.74; StDev 9.176883479232707; Valid 55.0; Mean 19.327545454545454 Variable Format: numeric Notes: UNF:6:vTbFhnvkUgEWrY9oine51A== |
f1643 Location: |
Variable Format: character Notes: UNF:6:5vN76snZXyDy6wYeLH/OGA== |
f1643 Location: |
Variable Format: character Notes: UNF:6:U7ZHI+OPuOjOcGaRK/rtag== |
f1643 Location: |
Summary Statistics: Mean 11.648148148148149; Min. 1.0; Max. 21.0; Valid 54.0; StDev 5.154801415963118 Variable Format: numeric Notes: UNF:6:tSH5vbpN3oXepwW3Yj5JgA== |
Label: |
abstract.jpg |
Notes: |
image/jpeg |