Predictive Value of Dual-phase F-18-FDG PET/CT in the Assessment of Neoadjuvant Chemotherapy Response in Patients with Locally Advanced Breast Cancer: A prospective Comparative Study with Dynamic Contrast-enhanced Magnetic Resonance Imaging


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Kupik O., TUNCEL M., Kiratli P. O., GÜLSÜN AKPINAR M., Altundag K., DEMİRKAZIK F., ...More

TURK ONKOLOJI DERGISI-TURKISH JOURNAL OF ONCOLOGY, vol.37, pp.426-435, 2022 (ESCI) identifier identifier identifier

  • Publication Type: Article / Article
  • Volume: 37
  • Publication Date: 2022
  • Doi Number: 10.5505/tjo.2022.3701
  • Journal Name: TURK ONKOLOJI DERGISI-TURKISH JOURNAL OF ONCOLOGY
  • Journal Indexes: Emerging Sources Citation Index (ESCI), Scopus, Academic Search Premier, CINAHL, EMBASE, TR DİZİN (ULAKBİM)
  • Page Numbers: pp.426-435
  • Keywords: Breast carcinoma, magnetic resonance imaging, neoadjuvant chemotherapy, positron-emission tomog-raphy dual-phase imaging, PATHOLOGICAL COMPLETE REMISSION, FDG-PET/CT, MRI, THERAPY, PRONE
  • Hacettepe University Affiliated: Yes

Abstract

OBJECTIVE Neoadjuvant chemotherapy (NAC) is applied in locally advanced breast cancers (LABCs). Pathological complete response (PCR) after NAC is associated with prognosis. This prospective study aimed to compare the predictive value of semi-quantitative parameters obtained by dynamic contrast-enhanced (DCE) magnetic resonance imaging (MRI) and dual-phase F-18-FDG PET/CT in LABC patients receiving NAC. METHODS Thirty-nine patients with LABC underwent DCE-MRI and F-18-FDG PET/CT at baseline, and 38 after 2-3 cycles of NAC (interim). Tumor diameter, spherical volume (SV), angiographic volume, peak signal intensity (PSI), the rapid and medium component of initial rise, and percentage of Type I, Type II, and Type III curves were calculated. SUVmax, total lesion glycolysis (TLG), and metabolic tumor volume (MTV) were measured using adaptive (adp) and 42% thresholding methods in whole-body and late prone images. Baseline and interim studies calculated percentage changes and compared the surgery results, PCR, and non-PCR. ROC curves were obtained to calculate the area under the curve for PCR prediction. Optimal threshold values to discriminate between PCR and non-PCR were calculated. RESULTS Late prone images had higher sensitivity and specificity to detect the residual tumor (91%, 71.4%) than MRI (84%, 37.5%). F-18-FDG PET/CT parameters differed significantly between PCR and non-PCR groups, except for MTV-42 values. Optimal cutoff values were-65% for SV%, 73% for MTV-adp%, and 88% for TLG-adp%. CONCLUSION Semi-quantitative parameters for F-18-FDG PET/CT and volumetric changes obtained with DCE-MRI can predict response to NAC. Percentage changes in SV, MTV, and TLG can identify non-responding patients better than other parameters.