Bone-Marrow-Cytomorphology_MLL_Helmholtz_Fraunhofer | An Expert-Annotated Dataset of Bone Marrow Cytology in Hematologic Malignancies
DOI: 10.7937/TCIA.AXH3-T579 | Data Citation Required | Image Collection
| Location | Species | Subjects | Data Types | Cancer Types | Size | Status | Updated |
|---|---|---|---|---|---|---|---|
| Marrow | Human | 945 | Histopathology | Leukemia & Lymphoma Cancers | Public, Complete | 2021/11/12 |
Summary
The dataset contains a collection of over 170,000 de-identified, expert-annotated cells from the bone marrow smears of 945 patients stained using the May-Grünwald-Giemsa/Pappenheim stain. The diagnosis distribution in the cohort included a variety of hematological diseases reflective of the sample entry of a large laboratory specialized in leukemia diagnostics. Image acquisition was performed using a brightfield microscope with 40x magnification and oil immersion.
Large datasets with a high quality of both data acquisition and annotation are key prerequisites to develop data-driven, computational methods in diagnostic medicine. In the case of bone marrow morphology, a key diagnostic method for a broad range of hematologic diseases, only few datasets are publicly available so far, which are orders of magnitude smaller than the one presented here. Inclusion of our dataset into TCIA provides both medical researchers and bioinformaticians with a public resource for education and algorithm improvement.
All samples were processed in the Munich Leukemia Laboratory (MLL), scanned using equipment developed at Fraunhofer IIS and post-processed using software developed at Helmholtz Munich.
Data Access
Version 1: Updated 2021/11/12
| Title | Data Type | Format | Access Points | Subjects | License | |||
|---|---|---|---|---|---|---|---|---|
| Tissue Slide Images | Histopathology | JPG | Download requires IBM-Aspera-Connect plugin |
945 | 171,375 | CC BY 4.0 |
Citations & Data Usage Policy
Data Citation Required: Users must abide by the TCIA Data Usage Policy and Restrictions. Attribution must include the following citation, including the Digital Object Identifier:
Data Citation |
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Matek, C., Krappe, S., Münzenmayer, C., Haferlach, T., & Marr, C. (2021). An Expert-Annotated Dataset of Bone Marrow Cytology in Hematologic Malignancies [Data set]. The Cancer Imaging Archive. https://doi.org/10.7937/TCIA.AXH3-T579 |
Detailed Description
Abbreviations:
| ABE | Abnormal eosinophil |
| ART | Artefact |
| BAS | Basophil |
| BLA | Blast |
| EBO | Erythroblast |
| EOS | Eosinophil |
| FGC | Faggott cell |
| HAC | Hairy cell |
| KSC | Smudge cell |
| LYI | Immature lymphocyte |
| LYT | Lymphocyte |
| MMZ | Metamyelocyte |
| MON | Monocyte |
| MYB | Myelocyte |
| NGB | Band neutrophil |
| NGS | Segmented neutrophil |
| NIF | Not identifiable |
| OTH | Other cell |
| PEB | Proerythroblast |
| PLM | Plasma cell |
| PMO | Promyelocyte |
Acknowledgements
- Christian Matek and Carsten Marr acknowledge support from the German National Research foundation (DFG) through grant SFB 1243.
- Carsten Marr has received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (Grant agreement number 866411).
Other Publications Using this Data
TCIA maintains a list of publications which leverage TCIA data. If you have a manuscript you’d like to add please contact TCIA’s Helpdesk.
Publication Citation |
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Matek, C., Krappe, S., Münzenmayer, C., Haferlach, T., and Marr, C. (2021). Highly accurate differentiation of bone marrow cell morphologies using deep neural networks on a large image dataset. https://doi.org/10.1182/blood.2020010568 |
TCIA Citation |
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Clark, K., Vendt, B., Smith, K., Freymann, J., Kirby, J., Koppel, P., Moore, S., Phillips, S., Maffitt, D., Pringle, M., Tarbox, L., & Prior, F. (2013). The Cancer Imaging Archive (TCIA): Maintaining and Operating a Public Information Repository. In Journal of Digital Imaging (Vol. 26, Issue 6, pp. 1045–1057). Springer Science and Business Media LLC. https://doi.org/10.1007/s10278-013-9622-7 |