Construct · 1 fields · 1 citations

Hans algorithm: a standalone construct

One name. One construct. A landmark on the map.

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Hematologic oncology

an immunohistochemistry decision tree using CD10, BCL6 and MUM1 to classify diffuse large B-cell lymphoma as germinal centre or non-germinal centre type.

In hematologic oncology, Hans algorithm refers to an immunohistochemistry decision tree using CD10, BCL6 and MUM1 to classify diffuse large B-cell lymphoma as germinal centre or non-germinal centre type. This meaning comes from Hans (2004) in Blood.[1]

Unit
Recovery means
Measured by

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tree3 fields · 4 citationsjingle · one word, three constructs type4 fields · 4 citationsjingle · one word, four constructs

References

Hans, C. P. (2004). Confirmation of the molecular classification of diffuse large B-cell lymphoma by immunohistochemistry using a tissue microarray. Blood, 103(1), 275-282. https://doi.org/10.1182/blood-2003-05-1545

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