Comparison of Ki67 Index Measurements in Breast Cancer with Manual and Digital Methods

Zuhal Silav

Makale detayları

Comparison of Ki67 Index Measurements in Breast Cancer with Manual and Digital Methods

Yazarlar:

Zuhal Silav

Yayıncı:

İstanbul Gelisim University

Ana Başlıklar:

Klinik Tıp Bilimleri

Dergi:

İstanbul Gelişim Üniversitesi Sağlık Bilimleri Dergisi Issue 20, pp.397-408

Belge Tipi:

Makale

Yayın Tarihi:

9/2023

Belge Dili:

Türkçe

Document ID (Org No.):

2001297066

pISSN:

2536-4499

Anahtar kelimeler:

Özet:

 Aim: Ki67 protein, which shows promise as an immunohistochemical biomarker in breast cancer, is used in cell proliferation assessments since it is present in all active phases of the mitotic cycle. Ki67 index has predictive and prognostic value in patients with breast cancer. Ki67 counting with manual assessment MD is sensitive to interobserver variability and is time consuming. In recent years, studies indicating that digital image analysis DGA is fast and objective for Ki67 measurements have been increasing, but the routine application of this method requires further studies. In this study, we compared MD, DGA and GK Ki67 measurements in 85 invasive breast cancer cases. Method: Tumor molecular types, mitotic numbers, Ki67 values measured by GK, MD and DGA and their correlations, were determined. DGA analyses were analyzed with ViraPath Virasoft Yazılım, Istanbul, Turkey software, and statistical correlations between parameters were analyzed with NCSS Number Cruncher Statistical System, 2020. Results: The correlations and differences of Ki67 index values determined by all three different methods in terms of age, histological grade, mitotic numbers, and molecular type were found to be compatible with the international literature. The intraclass correlation coefficient between Ki67 indices counted with DGA and MD was measured as 0.974, and the difference between Bland Altman analysis and MD and DGA counts was found to be close to zero. Conclusion: DGA counts give reliable results to replace MD. With multicenter studies that optimize method standards, time savings and high sensitivity can be brought to the practice of pathology.

 Aim: Ki67 protein, which shows promise as an immunohistochemical biomarker in breast cancer, is used in cell proliferation assessments since it is present in all active phases of the mitotic cycle. Ki67 index has predictive and prognostic value in patients with breast cancer. Ki67 counting with manual assessment MD is sensitive to interobserver variability and is time consuming. In recent years, studies indicating that digital image analysis DGA is fast and objective for Ki67 measurements have been increasing, but the routine application of this method requires further studies. In this study, we compared MD, DGA and GK Ki67 measurements in 85 invasive breast cancer cases. Method: Tumor molecular types, mitotic numbers, Ki67 values measured by GK, MD and DGA and their correlations, were determined. DGA analyses were analyzed with ViraPath Virasoft Yazılım, Istanbul, Turkey software, and statistical correlations between parameters were analyzed with NCSS Number Cruncher Statistical System, 2020. Results: The correlations and differences of Ki67 index values determined by all three different methods in terms of age, histological grade, mitotic numbers, and molecular type were found to be compatible with the international literature. The intraclass correlation coefficient between Ki67 indices counted with DGA and MD was measured as 0.974, and the difference between Bland Altman analysis and MD and DGA counts was found to be close to zero. Conclusion: DGA counts give reliable results to replace MD. With multicenter studies that optimize method standards, time savings and high sensitivity can be brought to the practice of pathology.

 Aim: Ki67 protein, which shows promise as an immunohistochemical biomarker in breast cancer, is used in cell proliferation assessments since it is present in all active phases of the mitotic cycle. Ki67 index has predictive and prognostic value in patients with breast cancer. Ki67 counting with manual assessment MD is sensitive to interobserver variability and is time consuming. In recent years, studies indicating that digital image analysis DGA is fast and objective for Ki67 measurements have been increasing, but the routine application of this method requires further studies. In this study, we compared MD, DGA and GK Ki67 measurements in 85 invasive breast cancer cases. Method: Tumor molecular types, mitotic numbers, Ki67 values measured by GK, MD and DGA and their correlations, were determined. DGA analyses were analyzed with ViraPath Virasoft Yazılım, Istanbul, Turkey software, and statistical correlations between parameters were analyzed with NCSS Number Cruncher Statistical System, 2020. Results: The correlations and differences of Ki67 index values determined by all three different methods in terms of age, histological grade, mitotic numbers, and molecular type were found to be compatible with the international literature. The intraclass correlation coefficient between Ki67 indices counted with DGA and MD was measured as 0.974, and the difference between Bland Altman analysis and MD and DGA counts was found to be close to zero. Conclusion: DGA counts give reliable results to replace MD. With multicenter studies that optimize method standards, time savings and high sensitivity can be brought to the practice of pathology.

 Amaç: Meme kanserinde immunhistokimyasal biyobelirteç olarak umut vaat eden Ki67 proteini, mitoz döngüsünün tüm aktif fazlarında bulunduğundan hücre proliferasyon değerlendirmelerinde kullanılır. Ki67 indeksi meme kanserli hastalarda prediktif ve prognostik değerdedir. Manuel değerlendirme MD ile Ki67 sayımı gözlemciler arası değişkenliğe hassas ve zaman alıcıdır. Son yıllarda, dijital görüntü analizinin DGA Ki67 ölçümleri için hızlı ve objektif olduğunu belirten çalışmalar artmaktadır ancak bu yöntemin rutin uygulamaya girmesi ileri çalışmaları gerektirmektedir. Bu araştırmada 85 invaziv meme kanseri vakasında MD, DGA ve GK göz kararı Ki67 ölçümlerini kıyaslanmıştır. Yöntem: Tümör moleküler tipleri, mitoz sayıları, GK, MD ve DGA ile ölçülmüş Ki67 değerleri ve korelasyonları saptandı. DGA analizleri ViraPath Virasoft Yazılım, İstanbul, Türkiye yazılımıyla, parametreler arasında istatistik korelasyonlar NCSS Number Cruncher Statistical System, 2020 ile incelendi. Bulgular: Her üç farklı metotla belirlenmiş Ki67 indeks değerlerinin yaş, histolojik derece, mitoz sayıları ve moleküler tip açısından korelasyon ve farklılıkları literatür ile uyumlu bulundu. DGA ve MD ile sayılmış Ki67 indeksleri arasında sınıf içi korelasyon katsayısı 0,974 olarak ölçüldü ve Bland Altman analizleri ile MD ve DGA sayımları arasındaki fark sıfıra yakın saptandı. Sonuç: DGA sayımları MDnin yerini alacak güvenilirlikte sonuçlar vermektedir. Çok merkezli ve metot standartlarını optimize edecek çalışmalarla patoloji pratiğine zamansal katkı ve yüksek hassasiyet kazandırılabilir.

Makale detayları

Comparison of Ki67 Index Measurements in Breast Cancer with Manual and Digital Methods

Yazarlar:

Zuhal Silav

Yayıncı:

İstanbul Gelisim University

Ana Başlıklar:

Klinik Tıp Bilimleri

Dergi:

İstanbul Gelişim Üniversitesi Sağlık Bilimleri Dergisi Issue 20, pp.397-408

Belge Tipi:

Makale

Yayın Tarihi:

9/2023

Belge Dili:

Türkçe

Document ID (Org No.):

2001297066

pISSN:

2536-4499

Breast Cancer

Ki67

manual counting

digital image analysisMeme kanseri

Ki67

manuel sayım

dijital görüntü analizi

Sayı

Makale detayları

Yazarlar: Zuhal Silav

Yayıncı: İstanbul Gelisim University

Ana Başlıklar: Klinik Tıp Bilimleri

Dergi: İstanbul Gelişim Üniversitesi Sağlık Bilimleri Dergisi Issue 20, pp.397-408

Belge Tipi: Makale

Yayın Tarihi: 9/2023

Belge Dili: Türkçe

Document ID (Org No.): 2001297066

pISSN: 2536-4499

Sayı

Yazarlar:

Zuhal Silav

Yayıncı:

İstanbul Gelisim University

Ana Başlıklar:

Klinik Tıp Bilimleri

Dergi:

İstanbul Gelişim Üniversitesi Sağlık Bilimleri Dergisi Issue 20, pp.397-408

Belge Tipi:

Makale

Yayın Tarihi:

9/2023

Belge Dili:

Türkçe

Document ID (Org No.):

2001297066

pISSN:

2536-4499