Breast Cancer

PV 01 - Poster Viewing Q&A - Session 1

SU_12_2112 - Instruments for Determining Clinically Relevant Fatigue in Breast Cancer Patients during Radiotherapy

Sunday, September 15
1:15 PM - 2:30 PM
Location: ASTRO Innovation Hub

Instruments for Determining Clinically Relevant Fatigue in Breast Cancer Patients during Radiotherapy
F. Andic1, A. H. Miller2, G. Brown3, L. Chu3, J. Y. Lin Jr4, T. Liu5, Y. Sertdemir6, and M. Torres3; 1Department of Radiation Oncology, Cukurova University Faculty of Medicine, Adana, Turkey, 2Department of Psychiatry and Behavioral Sciences, Emory University, Atlanta, GA, 3Department of Radiation Oncology Winship Cancer Institute, Emory University, Atlanta, GA, 4Department of Radiation Oncology and Winship Cancer Institute, Emory University, Atlanta, GA, 5Department of Radiation Oncology, Emory University, Atlanta, GA, 6Department of Biostatistics, Cukurova University Faculty of Medicine, Adana, Turkey

Purpose/Objective(s): Cancer-related fatigue (CRF) is a common complaint among breast cancer patients receiving radiotherapy (RT). This study aimed to determine RT related changes in CRF using Multidimensional Fatigue Inventory-20 (MFI-20) and fatigue-intensity rating (FIR) instruments and to identify the optimal thresholds of MFI-20 scores best reflective of fatigue intensity.

Materials/Methods: Eighty-eight women with stage 0-III C breast cancer who undergone surgery with or without neoadjuvant or adjuvant chemotherapy followed by RT were included in the study. Patients with a history of major psychiatric disorder within the past year were excluded. MFI-20 and FIR tools were used for CRF assessment at three different time points: within the week prior to RT (pre-RT), last week of RT (during RT), and six weeks after RT completion (post-RT). To evaluate the change in the measurements obtained at different time points, the Repeated Measurements Analysis was applied. To evaluate the correlations between measurements, Spearman Rank Correlation Coefficient was used. A receiver operator characteristic curve analysis was performed to identify the optimal thresholds of MFI-20 scores corresponding to FIR scores ≥4 (moderate to severe fatigue) and FIR scores ≥7 (severe fatigue).

Results: FIR (p time= 0.002) and MFI-20 (p time< 0.001) scores were significantly changed over time. At pre-RT, during RT and post-RT analysis, MFI-20 and FIR scores have correlations (r=0.525, r=0.791 and r=0.716, respectively, p<0.001) and the most correlated MFI-20 subscale with FIR was general fatigue (r= 0.754, r= 0.603 and r= 0.821, respectively, p< 0.001). Optimal cutpoints of the MFI-20 total scores corresponding to FIR scores ≥4 was 43.5 at all-time points and corresponding to FIR score ≥7 were 53.5, 52.5 and 60.5, respectively at pre-RT, during RT and post-RT analysis.

Conclusion: This study showed that MFI-20 and FIR scores are highly correlated measures of fatigue among breast cancer patients treated with radiation. A cutpoint score of MFI-20 could be suggested as ≥ 43.5 for moderate to severe fatigue distinction and a cutpoint score of ≥ 52.5 as likely to be severe fatigue.

Author Disclosure: F. Andic: Employee; Baskent University, Faculty of Medicine. A.H. Miller: None. G. Brown: None. L. Chu: None. J.Y. Lin: Board member; Imagilin Technology, LLC. Patent/License Fees/Copyright; Imagilin Technology, LLC. Y. Sertdemir: None. M. Torres: Honoraria; GASCO. Research Grant; NIH, Susan G. Komen, Pfizer, NCCN. Co-Leader; Emory University Cancer Prevention and Control.

Fundagul Andic, MD

Cukurova University Tip Fakultesi

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