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Although the topic is somewhat contentious, fine-needle aspiration (FNA) is frequently used in conjunction with flow cytometry (FC) to evaluate lymphoid proliferations. Despite the fact that the FNA and FC are often analyzed independently, no previous large-scale study has independently analyzed FC of FNA specimens. FC reports of 511 FNAs were retrospectively reviewed and FC diagnoses categorized as monoclonal, atypical, normal/reactive, or insufficient cellularity (3.9%). Abnormal immunophenotype was considered a positive test result. "Gold standard" diagnoses were established by histologic examination, treatment based on FNA, or clinical features. In 92.2% (451/489), there was adequate follow-up. The diagnostic accuracy of FC was 88.4%, sensitivity was 85.8%, and specificity was 92.9%. In addition, FC accuracy for classes of non-Hodgkin lymphoma was assessed. We conclude that FC is an independently accurate ancillary test in the evaluation of FNA. However, the presence of false-negative and false-positive cases supports the common practice of correlating FC with cytomorphologic findings even if performed independently.
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http://dx.doi.org/10.1309/AJCPHY69XVJGULKO | DOI Listing |
J Eval Clin Pract
September 2025
Department of General Medicine, Osaka Medical and Pharmaceutical University Hospital, Takatsuki, Osaka, Japan.
Rationale: Physicians sometimes encounter various types of gut feelings (GFs) during clinical diagnosis. The type of GF addressed in this paper refers to the intuitive sense that the generated hypothesis might be incorrect. An appropriate diagnosis cannot be obtained unless these GFs are articulated and inventive solutions are devised.
View Article and Find Full Text PDFCurr Opin Neurol
October 2025
Neuromuscular Diseases Unit, Department of Neurology, IR SANT PAU, Hospital de la Santa Creu i Sant Pau, CIBERER, Barcelona, Spain.
Purpose Of Review: Autoimmune nodopathies (AN) are a recognized distinct group of immune-mediated peripheral neuropathies with unique immunopathological features and therapeutic implications. This review synthesizes recent advances in their pathogenesis, diagnosis, and management, which have refined their clinical classification and informed targeted treatment strategies.
Recent Findings: AN are characterized by autoantibodies targeting surface proteins in the nodal-paranodal area (anti-contactin-1, anti-contactin-associated protein 1, anti-neurofascin-155, anti-pan-neurofascin), predominantly of IgG4 subclass.
J Pathol Transl Med
September 2025
Department of Biochemistry, Faculty of Pharmacy, Cairo University, Cairo, Egypt.
Background: Prostate cancer is one of the most common malignancies in males worldwide. Serum prostate-specific antigen is a frequently employed biomarker in the diagnosis and risk stratification of prostate cancer; however, it is known for its low predictive accuracy for disease progression. New prognostic biomarkers are needed to distinguish aggressive prostate cancer from low-risk disease.
View Article and Find Full Text PDFZhong Nan Da Xue Xue Bao Yi Xue Ban
May 2025
Department of Geriatric Pulmonary and Critical Care Medicine, Xiangya Hospital, Central South University; National Clinical Research Center for Geriatric Disorders (Xiangya Hospital), Changsha 410008.
Objectives: Non-small cell lung cancer (NSCLC) is associated with poor prognosis, with 30% of patients diagnosed at an advanced stage. Mutations in the and genes are important prognostic factors for NSCLC, and targeted therapies can significantly improve survival in these patients. Although tissue biopsy remains the gold standard for detecting gene mutations, it has limitations, including invasiveness, sampling errors due to tumor heterogeneity, and poor reproducibility.
View Article and Find Full Text PDFDermatitis
September 2025
From the Department of Dermatology, Venereology and Leprology, All India Institute of Medical Sciences (AIIMS), Bhopal, India.
Contact dermatitis (CD), which includes both allergic CD and irritant CD, is a common inflammatory condition that can pose significant diagnostic challenges. Although patch testing is the gold standard for identifying causative allergens for allergic contact dermatitis (ACD), it is time-consuming, subjective, and requires expert interpretation. Recent advancements in artificial intelligence (AI), particularly in machine learning (ML) and deep learning, have shown promise in improving the accuracy, efficiency, and accessibility of CD diagnosis and management.
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