Background: Mycosis Fungoides is a subtype of Cutaneous T Cell Lymphomas, often difficult to diagnose in its early stages due to its histopathological resemblance to inflammatory dermatoses. Objectives: To refine and enhance the diagnostic criteria for Mycosis Fungoides by utilizing digital scanning and analysis systems for the quantitative evaluation of immunohistochemical markers. Methods: A retrospective longitudinal observational descriptive study based on the reevaluation and comparison of diagnostic criteria (histological and immunohistochemical) of patients with a clinical suspicion of MF, creating two groups: patients whose diagnosis, despite requiring numerous biopsies, was finally Mycosis Fungoides (MF Group), and patients who, despite clinical suspicion, always had a diagnosis of Inflammatory Dermatoses (Control Group). The study was conducted on 62 patients with clinical suspicion of MF who underwent punch biopsies between 2000 and 2022 at Severo Ochoa University Hospital. Histological and immunohistochemical markers (CD2, CD3, CD4, CD5, CD7, CD8, TOX) were assessed using APERIO AT2 LEICA BIOSYSTEMS scanner and CIVAGENIUS software, ensuring objective and reproducible results. Results: Basal epidermotropism, lymphocytic atypia, and peri-lymphocytic halo showed strong associations with MF diagnosis. Significant differences were observed in the CD3/CD8 and CD5/CD8 ratios between Mycosis Fungoides and Inflammatory Dermatoses groups. High TOX antibody expression correlated with early-stage MF diagnosis. These findings suggest the potential of combining marker ratios and TOX expression with digital analysis to improve diagnostic accuracy. Conclusions: Digital scanning and automated analysis systems significantly enhance the precision and efficiency of Mycosis Fungoides diagnosis. Implementing these methods in routine practice can reduce diagnostic delays and improve patient outcomes by differentiating Mycosis Fungoides from similar dermatological conditions more effectively.
Published in | International Journal of Clinical and Experimental Medical Sciences (Volume 10, Issue 4) |
DOI | 10.11648/j.ijcems.20241004.12 |
Page(s) | 48-59 |
Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
Copyright |
Copyright © The Author(s), 2024. Published by Science Publishing Group |
Mycosis Fungoides, Tox Antibody, Inflammatory Dermatoses, Epidermotropism, Algorithm, Immunohistochemical Markers
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APA Style
Pinilla-Pagnon, I., Rojo-López, R., Hompanera, T. S., Casasola, G. G. D., Chao-Crecente, M. (2024). Histopathological Characterization and Development of Objective Diagnostic Criteria in Mycosis Fungoides. International Journal of Clinical and Experimental Medical Sciences, 10(4), 48-59. https://doi.org/10.11648/j.ijcems.20241004.12
ACS Style
Pinilla-Pagnon, I.; Rojo-López, R.; Hompanera, T. S.; Casasola, G. G. D.; Chao-Crecente, M. Histopathological Characterization and Development of Objective Diagnostic Criteria in Mycosis Fungoides. Int. J. Clin. Exp. Med. Sci. 2024, 10(4), 48-59. doi: 10.11648/j.ijcems.20241004.12
@article{10.11648/j.ijcems.20241004.12, author = {Ignacio Pinilla-Pagnon and Rosa Rojo-López and Tania Sierra Hompanera and Gonzalo Garcia de Casasola and Montserrat Chao-Crecente}, title = {Histopathological Characterization and Development of Objective Diagnostic Criteria in Mycosis Fungoides }, journal = {International Journal of Clinical and Experimental Medical Sciences}, volume = {10}, number = {4}, pages = {48-59}, doi = {10.11648/j.ijcems.20241004.12}, url = {https://doi.org/10.11648/j.ijcems.20241004.12}, eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijcems.20241004.12}, abstract = {Background: Mycosis Fungoides is a subtype of Cutaneous T Cell Lymphomas, often difficult to diagnose in its early stages due to its histopathological resemblance to inflammatory dermatoses. Objectives: To refine and enhance the diagnostic criteria for Mycosis Fungoides by utilizing digital scanning and analysis systems for the quantitative evaluation of immunohistochemical markers. Methods: A retrospective longitudinal observational descriptive study based on the reevaluation and comparison of diagnostic criteria (histological and immunohistochemical) of patients with a clinical suspicion of MF, creating two groups: patients whose diagnosis, despite requiring numerous biopsies, was finally Mycosis Fungoides (MF Group), and patients who, despite clinical suspicion, always had a diagnosis of Inflammatory Dermatoses (Control Group). The study was conducted on 62 patients with clinical suspicion of MF who underwent punch biopsies between 2000 and 2022 at Severo Ochoa University Hospital. Histological and immunohistochemical markers (CD2, CD3, CD4, CD5, CD7, CD8, TOX) were assessed using APERIO AT2 LEICA BIOSYSTEMS scanner and CIVAGENIUS software, ensuring objective and reproducible results. Results: Basal epidermotropism, lymphocytic atypia, and peri-lymphocytic halo showed strong associations with MF diagnosis. Significant differences were observed in the CD3/CD8 and CD5/CD8 ratios between Mycosis Fungoides and Inflammatory Dermatoses groups. High TOX antibody expression correlated with early-stage MF diagnosis. These findings suggest the potential of combining marker ratios and TOX expression with digital analysis to improve diagnostic accuracy. Conclusions: Digital scanning and automated analysis systems significantly enhance the precision and efficiency of Mycosis Fungoides diagnosis. Implementing these methods in routine practice can reduce diagnostic delays and improve patient outcomes by differentiating Mycosis Fungoides from similar dermatological conditions more effectively. }, year = {2024} }
TY - JOUR T1 - Histopathological Characterization and Development of Objective Diagnostic Criteria in Mycosis Fungoides AU - Ignacio Pinilla-Pagnon AU - Rosa Rojo-López AU - Tania Sierra Hompanera AU - Gonzalo Garcia de Casasola AU - Montserrat Chao-Crecente Y1 - 2024/11/13 PY - 2024 N1 - https://doi.org/10.11648/j.ijcems.20241004.12 DO - 10.11648/j.ijcems.20241004.12 T2 - International Journal of Clinical and Experimental Medical Sciences JF - International Journal of Clinical and Experimental Medical Sciences JO - International Journal of Clinical and Experimental Medical Sciences SP - 48 EP - 59 PB - Science Publishing Group SN - 2469-8032 UR - https://doi.org/10.11648/j.ijcems.20241004.12 AB - Background: Mycosis Fungoides is a subtype of Cutaneous T Cell Lymphomas, often difficult to diagnose in its early stages due to its histopathological resemblance to inflammatory dermatoses. Objectives: To refine and enhance the diagnostic criteria for Mycosis Fungoides by utilizing digital scanning and analysis systems for the quantitative evaluation of immunohistochemical markers. Methods: A retrospective longitudinal observational descriptive study based on the reevaluation and comparison of diagnostic criteria (histological and immunohistochemical) of patients with a clinical suspicion of MF, creating two groups: patients whose diagnosis, despite requiring numerous biopsies, was finally Mycosis Fungoides (MF Group), and patients who, despite clinical suspicion, always had a diagnosis of Inflammatory Dermatoses (Control Group). The study was conducted on 62 patients with clinical suspicion of MF who underwent punch biopsies between 2000 and 2022 at Severo Ochoa University Hospital. Histological and immunohistochemical markers (CD2, CD3, CD4, CD5, CD7, CD8, TOX) were assessed using APERIO AT2 LEICA BIOSYSTEMS scanner and CIVAGENIUS software, ensuring objective and reproducible results. Results: Basal epidermotropism, lymphocytic atypia, and peri-lymphocytic halo showed strong associations with MF diagnosis. Significant differences were observed in the CD3/CD8 and CD5/CD8 ratios between Mycosis Fungoides and Inflammatory Dermatoses groups. High TOX antibody expression correlated with early-stage MF diagnosis. These findings suggest the potential of combining marker ratios and TOX expression with digital analysis to improve diagnostic accuracy. Conclusions: Digital scanning and automated analysis systems significantly enhance the precision and efficiency of Mycosis Fungoides diagnosis. Implementing these methods in routine practice can reduce diagnostic delays and improve patient outcomes by differentiating Mycosis Fungoides from similar dermatological conditions more effectively. VL - 10 IS - 4 ER -