Computer vision quantitation of erythrocyte shape abnormalities provides diagnostic, prognostic, and mechanistic insight

Blood Advances · 18 authors, 7 centres

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AGENT 01 · STRUCTURED SUMMARY

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TL;DR

A novel computer vision algorithm (RBC-diff) was developed to automatically and objectively quantify red blood cell morphologies from peripheral blood smear images. The method demonstrated accuracy in cell classification and provided diagnostic and prognostic insights in hematologic diseases.

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The method was validated at single-cell and cell-population levels, showing good performance across different imaging conditions and at a separate medical center.

STUDY TYPE

other

SPECIALTY

hematology

SUMMARISED BY

AI pipeline

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100% · A

ORIGINAL PAPER

PMC10448422

Computer vision quantitation of erythrocyte shape abnormalities provides diagnostic, prognostic, and mechanistic insight

Blood Advances

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ABSTRACT

Key Points • Exact quantitation of RBC dysmorphologies in peripheral blood smears can be accurately performed using a computer vision system. • This quantitation allowed for improved diagnostic and prognostic evaluations of multiple hematologic disease states.

CITATION EXPORT

Brody H Foy, Jonathan A Stefely, Pavan K Bendapudi et al.. Computer vision quantitation of erythrocyte shape abnormalities provides diagnostic, prognostic, and mechanistic insight. Blood Advances. (2023). https://doi.org/10.1182/bloodadvances.2022008967

AUTHORS

18 · 7 CENTRES

Brody H Foy, Jonathan A Stefely, Pavan K Bendapudi, Robert P Hasserjian, Hanny Al-Samkari, Abner Louissaint, Megan J Fitzpatrick, Bailey Hutchison, Christopher Mow, Julia Collins, Hasmukh R Patel, Chhaya H Patel, Nikita Patel, Samantha N Ho, Richard M Kaufman, Walter H Dzik, John M Higgins, Robert S Makar

1Department of Pathology, Massachusetts General Hospital, Harvard Medical School, Boston, MA
2Center for Systems Biology, Massachusetts General Hospital, Harvard Medical School, Boston, MA
3Department of Systems Biology, Harvard Medical School, Boston, MA
4Blood Transfusion Service, Massachusetts General Hospital, Harvard Medical School, Boston, MA
5Division of Hematology, Massachusetts General Hospital, Harvard Medical School, Boston, MA
6Mass General Brigham Enterprise Research IS, Boston, MA
7Department of Pathology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA