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akaturk Akademik ölçüm

Makale detayı · 2022

Prognostic value of metabolic parameters on baseline 18F-FDGPET/CT in small cell lung cancer

Quarterly Journal of Nuclear Medicine and Molecular Imaging

YÖKSİS OpenAlex SJR Q3 JCR Q4 Atıf 13 Yüzdelik 87.6% FWCI 1.86
Yıl
2022
ISSN
1824-4785
Tür
article

Veri kaynağı ayrımı

  • YÖKSİS YÖKSİS makale kaydı
  • OpenAlex OpenAlex zenginleştirmesi (özet, atıf, konular)

Özet

İngilizce (OpenAlex)

BACKGROUND: Maximum standardized uptake value (SUVmax) is the primary quantitave parameter given in 18F-FDG PET/CT reports. Calculations derived from three dimensional metabolic volumetric images have been proposed to be more successful than SUVmax alone in prognostification with a lower interobserver variability in many cancers. We aimed to determine the prognostic value of metabolic parameters derived from 18F-FDG PET/CT studies in small cell lung cancer (SCLC) patient population with a long follow-up time. METHODS: In this study, 38 consecutive SCLC patients (34M, 4F, age:65.76 ±8.18 years) who were referred to 18F-FDG PET/CT for staging between October 2006-January 2011 were included. SUVmax, SUVmean, SUVpeak, metabolic tumor volume (MTV), and total lesion glycolysis (TLG) were calculated. Overall survival (OS) was calculated from the date of the initial PET/CT to death from any cause. Survival tables were obtained and Kaplan Meier curves were reconstructed. Mantel-Cox regression analysis was performed in order to investigate if any of these parameters have an effect on survival along with other clinical risk factors. RESULTS: , 1898.52 and 375U/L respectively. Median follow-up was 761.23±873.21 days (25.37 months, range:110-3338 days). Since basal 18F-FDG PET/CT scans, all patients were lost in the follow-up except for two patients. MTV was a significant prognostic factor in SCLC patients. Estimated mean survival times were 261.0±45.6 (95% CI: 171.6-350.3) days in patients with MTV value above the calculated median 147, and 577.0±124.0 (95% CI: 333.7-820.2) days in patients with MTV<147. The difference was statistically significant with a P=0.037. CONCLUSIONS: Baseline whole body MTV reflecting total tumor load is a prognostic index in SCLC. SUV is insufficient to predict prognosis.

Konular

  • Lung Cancer Research Studies
  • Radiomics and Machine Learning in Medical Imaging
  • Inflammatory Biomarkers in Disease Prognosis

Birincil konu Lung Cancer Research Studies

Yazarlar

  1. mine araz
  2. ÇİĞDEM SOYDAL
  3. ELGİN ÖZKAN ANKARA ÜNİVERSİTESİ
  4. ELİF ŞEN ANKARA ÜNİVERSİTESİ
  5. DEMET NAK
  6. NURİYE ÖZLEM KÜÇÜK
  7. UĞUR GÖNÜLLÜ
  8. KEMAL METİN KIR