Microscopic review of tissue sections is of foundational importance in pathology, yet the traditional chemistry-based histology laboratory methods are labour intensive, tissue destructive, poorly scalable to the evolving needs of precision medicine and cause delays in patient diagnosis and treatment. Recent AI-based techniques offer promise in upending histology workflow; one such method developed by PictorLabs can generate near-instantaneous diagnostic images via a machine learning algorithm. Here, we demonstrate the utility of virtual staining in a blinded, wash-out controlled study of 16 cases of lymph node excisional biopsies, including a spectrum of diagnoses from reactive to lymphoma and compare the diagnostic performance of virtual and chemical H&Es across a range of stain quality, image quality, morphometric assessment and diagnostic interpretation parameters as well as proposed follow-up immunostains.
View Article and Find Full Text PDFLymphoproliferative disorders are a heterogeneous group of neoplasms with varying clinical, morphologic, immunophenotypic, and genetic characteristics. A subset of lymphomas have a proclivity for the gastrointestinal tract, although this region may also be involved by systemic lymphomas. In addition, a number of indolent lymphoproliferative disorders of the gastrointestinal tract have been defined over the past decade, and it is important to accurately differentiate these neoplasms to ensure that patients receive the proper management.
View Article and Find Full Text PDFObjectives: This study compares the effectiveness of an interactive e-learning module with a traditional text-based method for teaching peripheral blood smear analysis.
Methods: Pathology trainees at Accreditation Council for Graduate Medical Education residency programs were asked to participate. Participants completed a multiple-choice test on peripheral blood smear findings.
Pathologists who enter the workforce must have a diverse skill set beyond that of clinical diagnostics alone. Anticipating this need, the Johns Hopkins Pathology Residency Program developed Special Expertise Tracks to enhance training in relevant subspecialty domains. Using a combination of discussions and surveys, we assessed: (1) our current resident curriculum; (2) perceived curricular strengths and needs; (3) resident career preferences and ultimate career paths; (4) perceived barriers to implementing an advanced elective curriculum; and (5) available departmental/institutional resources.
View Article and Find Full Text PDFBackground: Current clinical practices are shifting towards utilizing less invasive biopsy techniques, including fine needle aspiration (FNA) and needle core biopsies. If a patient has a suspected hematologic malignancy, a portion of the FNA sample is typically submitted for flow cytometry (FC) analysis, providing valuable immunophenotypic data.
Methods: FNA specimens were identified via a pathology database search.
Interferon has been widely used in the management of patients with hematological malignancies such as polycythemia vera, myelofibrosis, chronic myeloid leukemia and viral infections such as chronic hepatitis C. Hematological adverse effects such as cytopenias have been observed, particularly in patients who receive a combination of interferon-α-2a and ribavirin for hepatitis C. Mild myelosuppression can be seen with pegylated interferon; however, bone marrow aplasia in patients with myelofibrosis has not been reported.
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