Publications by authors named "Mara A Cardenas-Escudero"
Discriminant analysis and machine learning approach for evaluating and improving the performance of immunohistochemical algorithms for COO classification of DLBCL.
Yocanxóchitl Perfecto-Avalos Alejandro Garcia-Gonzalez Ana Hernandez-Reynoso Gildardo Sánchez-Ante Carlos Ortiz-Hidalgo
J Transl Med
June 2019
Article Synopsis
- The study focuses on classifying diffuse large B-cell lymphoma (DLBCL) into germinal center-like and non-germinal center-like groups, highlighting differences in their clinical outcomes.
- Researchers applied machine learning techniques to improve the classification accuracy compared to traditional immunohistochemistry (IHC) algorithms, using data from a public DLBCL database.
- The newly developed Perfecto-Villela (PV) algorithm demonstrated superior metrics, achieving 94% accuracy, 93% specificity, and 95% sensitivity, making it a better and more efficient alternative for identifying DLBCL cell-of-origin than existing IHC algorithms.
We present a case of a benign hybrid nerve sheath tumor showing features of both cellular schwannoma and perineurioma.The patient was a 33 year-old female who presented with a 6 month history of pain in the thorax-lumbar region.Axial CT and MIR images showed and homogeneously enhancing solid oval mass involving the left paravertebra region in contact with the vertebral foramina T9-T11.
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