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18F-FDG PET-guided measurement of dynamic MRI parameters improve the prediction of the disease free survival in patients with breast cancer
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Cancer Science & Therapy

ISSN: 1948-5956

Open Access

18F-FDG PET-guided measurement of dynamic MRI parameters improve the prediction of the disease free survival in patients with breast cancer


12th World Cancer Conference

September 26-28, 2016 London, UK

Sang Moo Lim

Korea Institute of Radiological and Medical Sciences, Republic of Korea

Posters & Accepted Abstracts: J Cancer Sci Ther

Abstract :

The aim of this study was to determine whether 18F-FDG PET-guided measurement of dynamic MRI parameters could predict disease-free survival (DFS) in patients with operable breast cancer. Seventy-eight patients with breast cancer were enrolled. All patients underwent preoperative parallel PET/MR. All patients were analyzed by diverse parameters (maximum SUV at 1 h [SUV1], retention index of SUVmax [RI], initial slope of the enhancement curve [IS], transfer constant [Ktrans], reflux constant [Kep], extravascular extracellular space volume fraction [Ve] and initial area under the curve [iAUC]). Dynamic MRI parameters were measured at the tumor region with SUV1. A relationship between covariates and DFS after operation was analyzed using Kaplan-Meier method and multivariate Cox proportional-hazard regression method. The median followup of 78 patients was 55 months, and 9 (11.5%) patients developed recurrence or metastasis. Among parameters, higher RI (p=0.0010), lower Ktrans (p=0.0046), and lower Ve (p=0.0035) were significantly associated with poorer DFS. In contrast, SUV1, IS, Kep, and iAUC were not. On multivariate analysis, RI (p=0.016; HR=5.20; CI 1.4-19.7), and Ktrans (p=0.035; HR=0.22; CI 0.054-0.89) were found as independent predictors of DFS. Patients with higher RI and lower Ktrans revealed a significantly higher recurrence rate (66.7%) than the rest of patients (6.9%, P<0.0001). 18F-FDG PET-guided measurement of dynamic MRI parameters could make improvement of patients care because tailored surveillance would be applied for high risk group.

Biography :

Sang Moo Lim is the Director of the Department of Nuclear Medicine, Korea Institute of Radiological and Medical Sciences (KIRAMS), Seoul, Republic of Korea.

Email: nmbbh@hanmail.net

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Citations: 3968

Cancer Science & Therapy received 3968 citations as per Google Scholar report

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