Percentage change of primary tumor on 18F-FDG PET/CT as a prognostic factor for invasive ductal breast cancer with axillary lymph node metastasis: Comparison with MRI. Issue 31 (August 2017)

• Record Type: Journal Article
• Authors: Yoo, Jang; Kim, Bom Sahn; Chung, Jin; Yoon, Hai-Jeon
• Other Names: Zakko. Saad section editor.
• Is Part Of: Medicine. Volume 96:Issue 31(2017)
• Publication Date: 2017-08
• Subjects: diffusion weighted imaging -- dual time point 18F-FDG PET/CT -- dynamic contrast -- invasive ductal breast cancer -- magnetic resonance imaging -- recurrence-free survival; Medicine -- Periodicals; Medicine -- Periodicals; Médecine -- Périodiques; Geneeskunde; Medicine; Periodicals; Periodicals; 610.5
• DOI: 10.1097/MD.0000000000007657
• Languages: English
• ISSNs: 0025-7974

Abstract

Abstract : Abstract: We evaluated the prognostic value of quantitative parameters using dual time point (DTP) 18 F-FDG PET/CT (PET/CT) in invasive ductal breast cancer (IDC) with metastatic axillary lymph nodes (ALN) as compared with dynamic contrast-enhanced (DCE) and diffusion-weighted (DW) MRI. Seventy patients with IDC and metastatic ALN were retrospectively registered. Static PET parameters including maximum standardized uptake value (SUVmax ), metabolic tumor volume (MTV), total lesion glycolysis (TLG) of primary tumor, SUVmax of ALN (SUVALN ), and percentage changes (Δ%) in those parameters were measured with DTP PET/CT. From DCE MRI, peak enhancement value, total tumor angio volume, and proportions of kinetic curve types on delayed-phases were investigated. The average apparent diffusion coefficient (ADCavg ) was estimated on DWI. To demonstrate the prognostic value of quantitative imaging parameters for recurrence-free survival (RFS), univariate and multivariate analyses were performed using those parameters and clinicohistologic variables. All static PET parameters, %ΔSUVmax, %ΔMTV, and %ΔSUVALN on DTP PET/CT and ADCavg on DWI were significantly predictive for disease recurrence. Of clinicohistologic variables, pathologic tumor (pT) diameter, pathologic ALN stage, tumor grade, and hormonal status also were significantly prognostic. After multivariate analysis, %ΔSUVmax > 25.05 ( P = .043), ADCavg ⩽ 1016.55 ( P = .020), pT diameter > 3 cm ( P = .001), and ER negative status ( P = .002) were independent prognostic factors for poor outcome. Only %ΔSUVmax of the primary tumor on PET/CT together with ADCavg, pT diameter, and ER status was an independent prognostic factor for predicting relapse in IDC with metastatic ALN. Percentage change of primary tumor on preoperative PET/CT may be a valuable imaging marker for selecting IDC patients that require adjunct treatment to prevent relapse.