MORPHOLOGICAL ERRORS IN THE EVALUATION OF SMALL BIOPSIES AND THEIR PREVENTION

Small biopsies are of great importance in pathological diagnostics, as they allow for the early detection of many diseases and the determination of treatment strategies. However, morphological errors that occur during the evaluation of these samples can lead to incorrect diagnosis and a negative impact on the patient's health. The article analyzes the main morphological errors that occur during the study of small biopsies, their causes and clinical consequences. It also highlights the importance of improving the biopsy technique, proper sample preparation, and the use of modern diagnostic methods (immunohistochemistry, molecular diagnostics) to prevent errors. The study also shows the possibilities of reducing diagnostic errors by improving the professional skills of pathologists and strengthening quality control.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-05-05
DOI
https://doi.org/10.5281/zenodo.15345430
Primary Topic
Stochastic Gradient Optimization Techniques
Type
article
Field-Weighted Citation Impact
0.00
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article

MORPHOLOGICAL ERRORS IN THE EVALUATION OF SMALL BIOPSIES AND THEIR PREVENTION

Zenodo (CERN European Organization for Nuclear Research)
Stochastic Gradient Optimization Techniques
article

MORPHOLOGICAL ERRORS IN THE EVALUATION OF SMALL BIOPSIES AND THEIR PREVENTION

article en

Abstract

Small biopsies are of great importance in pathological diagnostics, as they allow for the early detection of many diseases and the determination of treatment strategies. However, morphological errors that occur during the evaluation of these samples can lead to incorrect diagnosis and a negative impact on the patient's health. The article analyzes the main morphological errors that occur during the study of small biopsies, their causes and clinical consequences. It also highlights the importance of improving the biopsy technique, proper sample preparation, and the use of modern diagnostic methods (immunohistochemistry, molecular diagnostics) to prevent errors. The study also shows the possibilities of reducing diagnostic errors by improving the professional skills of pathologists and strengthening quality control.

Zenodo (CERN European Organization for Nuclear Research)
Quality Education
Openalex Percentile: Top 75%
Stochastic Gradient Optimization Techniques
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