Mitosis-Karyorrhexis Index evaluation by digital image visual analysis for application of International Neuroblastoma

Neha Bhardwaj1, Manish Rohilla1, Amita Trehan2

  • 1Department of Cytology and Gynecological Pathology, Postgraduate Institute of Medical Education and Research, Chandigarh, India.

Cancer Cytopathology
|October 11, 2021
PubMed
Abstract

Insights

Digital image analysis of the Mitosis-Karyorrhexis Index (MKI) on neuroblastoma fine-needle aspiration biopsies (FNAB) is accurate and reproducible. This method should be integrated into routine diagnostics for improved neuroblastoma classification.

Area of Science:

  • Oncology
  • Pathology
  • Cytopathology

Background:

  • The Mitosis-Karyorrhexis Index (MKI) is crucial for neuroblastoma evaluation and the International Neuroblastoma Pathology Classification (INPC).
  • Standardized methods for MKI assessment on cytology smears are currently lacking.
  • This study aimed to develop and validate MKI evaluation techniques for neuroblastoma fine-needle aspiration biopsies (FNAB).

Purpose of the Study:

  • To devise and validate methods for Mitosis-Karyorrhexis Index (MKI) evaluation in neuroblastoma fine-needle aspiration biopsies (FNAB).
  • To compare visual assessment scores (eyeball vs. digital image analysis) for MKI on cytology smears and cell block histology.
  • To assess interobserver reproducibility and concordance for MKI evaluation.

Main Methods:

  • Retrospective analysis of 50 neuroblastoma FNAB cases diagnosed between January 2017 and December 2019.
  • Cytomorphological evaluations and MKI assessment on smears and cell block histology.
  • Comparison of eyeball visual assessment score (EVAS) with digital image visual analysis score (DIVAS) and calculation of interobserver reproducibility and concordance.

Main Results:

  • High concordance (86%, κ = 0.85) for MKI assessment among three observers, increasing to 98% in the high MKI category.
  • 96% concordance between MKI on smears and cell block histology; 86% concordance between EVAS and DIVAS.
  • Neuroblastoma cases were predominantly unfavorable (90%) according to INPC subtyping, correlating significantly with clinical outcomes (P = .029).

Conclusions:

  • Digital image visual analysis for MKI assessment on neuroblastoma FNAB smears is accurate, reproducible, and objective.
  • This digital method should be incorporated into routine reporting for neuroblastoma FNAB.
  • Standardized MKI evaluation via digital analysis supports accurate INPC subtyping and clinical outcome correlation.

Related Concept Videos