Akciğer Kanserli Hastalarda Pozitron Emisyon Tomografisi Görüntülerinden Elde Edilen Semikantitatif Parametrelerin Tümör Histopatolojik Özellikleri ile İlişkisi

Year 2020, Volume: 5 Issue: 1, 1 - 6, 01.04.2020

Seyhan Karaçavuş Arzu Tasdemir Eser Kaya

Abstract

Amaç: Bu çalışmanın amacı; akciğer kanserli hastalarda pozitron emisyon tomografisi (18F-FDG PET/BT) görüntülerinden elde edilen, tümör metabolizmasını yansıtan semikantitatif parametrelerin tümörün klinik evresi ve histopatolojik özellikleri ile ilişkisinin araştırılmasıdır.
Gereç ve Yöntem: Çalışmaya 27’si adenokarsinom, 35’i epidermoid karsinom tanısı alan toplam 62 KHDAK’li hasta (E/K: 38/24; yaş ortalaması 61,29±9,5) dahil edildi. Hastaların tamamına kemo/radyoterapi öncesi F-18 FDG PET/ BT çekimi yapıldı ve SUVmax, SUVmean, metabolik tümör volümü (MTV) ve total lezyon glikolizis (TLG) değerlerinden oluşan metabolik semikantitatif parametreler hesaplandı. F-18 FDG PET/ BT metabolik parametreleri ile tümörün klinik evresi ve histopatolojik özellikleri (tümör alttipi, ki-67 indeksi) arasında bir ilişki olup olmadığı istatistiksel olarak değerlendirildi.
Bulgular: Tümör evrelerine göre tüm gruplar arası SUVmax, SUVmean, MTV ve TLG değerlerinde anlamlı farklılık gözlenmedi. Tümör alt tiplerine göre yapılan analizde adenokarsinomlu hastaların SUVmax, , SUVmean, MTV ve TLG değerlerinin epidermoid karsinomlu hastalara göre istatistiksel olarak anlamlı oranda daha düşük olduğu gözlendi (p=0,003, p=0,002, p=0,002, p=0,002). Ayrıca 40 hastadan oluşan subgrupta yaptığımız histopatolojik incelemede ki-67 proliferasyon indeksi ile TLG arasında orta derecede korelasyon gözlendi (p=0.4, p=0.03).
Sonuç: Küçük hücreli dışı akciğer kanserli hastalarda, F-18 FDG PET/BT metabolik parametreleri ile tümörün histopatolojik özellikleri korelasyon göstermekte olup hastalığın klinik sonuçlarını noninvaziv olarak öngörmede bu parametreler yardımcı rol oynayabilir.

Keywords

Pozitron emisyon tomografisi, akciğer kanseri, histopatoloji

Supporting Institution

TÜBİTAK

Project Number

113E188

Thanks

Bu proje TÜBİTAK (Proje No:113E188) tarafından desteklenmektedir.

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