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Related Concept Videos

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Kidney, Ureter, and Bladder (KUB) StudiesKidney, Ureter, and Bladder (KUB) studies are standard diagnostic imaging procedures used to assess the anatomy of the urinary system. They are commonly utilized for patients experiencing abdominal pain or urinary symptoms. By using a simple X-ray of the abdomen, KUB studies can reveal structural and pathological abnormalities within the kidneys, ureters, and bladder. These studies are particularly valuable in diagnosing kidney stones, urinary...
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A semi-automated microscopic image analysis method for scoring Ki-67 nuclear immunostaining.

S M Fernezlian1, C M Baldavira1, M L F de Souza1

  • 1Laboratório de Genômica e Histomorfometria, Departamento de Patologia, Faculdade de Medicina, Universidade de São Paulo, São Paulo, SP, Brasil.

Brazilian Journal of Medical and Biological Research = Revista Brasileira De Pesquisas Medicas E Biologicas
|November 16, 2023
PubMed
Summary

Nuclear proliferation marker Ki-67 (MIB-1) nuclear gradient (NG) shows prognostic value in pulmonary typical carcinoid (PTC) tumors. This study introduces a method to assess Ki-67 NG, aiding in PTC diagnosis and prognosis.

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Area of Science:

  • Oncology
  • Pathology
  • Biomarker Research

Background:

  • The diagnostic and prognostic significance of Ki-67 nuclear staining intensity and location (nuclear gradient, NG) remains underexplored in tumor pathology.
  • Pulmonary typical carcinoid (PTC) tumors require refined prognostic markers for improved patient management.

Approach:

  • A novel method was developed to classify Ki-67 NG, stratifying it into NG1, NG2, and NG3/4 categories.
  • A semi-automated image analysis protocol was established to quantify Ki-67 NG in PTC, pulmonary adenocarcinoma (PAD), and breast ductal carcinoma (BDC).
  • Intraobserver and interobserver agreement for Ki-67 NG determination were assessed in tumor specimens.

Key Points:

  • Ki-67 NG1 and NG2 were observed at lower levels in PTC compared to PAD and BDC.
  • Cox multivariate analysis revealed that Ki-67 NG1 and NG2 significantly predicted clinical outcomes in PTC, independent of age and lymph node status.
  • The proposed semi-automated quantification method demonstrated high intraobserver consistency and moderate interobserver agreement.

Conclusions:

  • Ki-67 nuclear gradient (NG) is a significant prognostic indicator in pulmonary typical carcinoid (PTC) tumors.
  • The developed semi-automated image analysis protocol for Ki-67 NG quantification offers a valuable tool for PTC diagnosis and prognosis.
  • Further validation of this method could enhance the clinical utility of Ki-67 immunohistochemistry in thoracic oncology.