Successful experience in treating primary cutaneous anaplastic large cell lymphoma occuring with common lesions of the skin and lung tissue

The aim of the study is to present a successful case in treating primary cutaneous anaplastic large cell lymphoma (PCALCL) occurring with common lesions of the skin and lung tissue.Materials and methods. For the verification of the diagnosis in a patient with three types of skin elements (spot, thin plaque with and without ulceration), differential diagnosis was performed between ulcerative pyoderma gangrenosum, PCALCL, large-cell transformation of mycosis fungoides, and secondary skin lesions under the nodal ALK-negtaive ALCL. A complex of studies, including histological, immunohisto - chemical, cytogenetic studies of skin tumor biopsy, allowed the verification of the PCALCL diagnosis. For the treatment of the patient, intensive induction chemotherapy was used followed by high-dose consolidation and autologous transplantation of hematopoietic stem cells.Results. The selected treatment tactics allowed a long-term complete remission of the disease to be achieved in a patient from the poor prognosis group.Conclusion. An algorithm for the differential diagnosis and tactics of treating is presented for a patient with primary anaplastic large cell lymphoma with a widespread skin lesion and extradermal foci

Ophthalmic Bioengineering. Review

This article published the materials of the round table “Bioengineering in ophthalmology” (OphthalmicBioengineering), held on May 13, 2021 as part of the international conference Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology (USBEREIT). USBEREIT is held under the auspices of the IEEE Engineering in Medicine and Biology Society. The article presents reports on: metrological aspects of registration of tonometric and electrophysiological signals in ophthalmic diagnostics; approaches to modeling the processes of pulse blood filling of the eye with the determination of hemodynamic parameters; retinotoxicity based on electrophysiological signals; analysis of electrophysiological signals in the frequency-time domain and its application in clinical practice; extraction and analysis of specialized data obtained from the electrophysiological medical device; as well as diagnosing retinal diseases based on optical coherence tomography using machine learning. © 2023 Ophthalmology Publishing Group. All rights reserved