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FDG-PET/CT for the early prediction of histopathological complete response to neoadjuvant chemotherapy in breast cancer patients: Initial results

机译:FDG-PET / CT用于早期预测乳腺癌患者对新辅助化疗的组织病理学完全反应:初步结果

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Background: Up to about one-quarter of patients treated with neoadjuvant chemotherapy do not adequately respond to the given treatment. By a differentiation between responders and non-responders ineffective toxic therapies can be prevented. Purpose: To retrospectively test if FDG-PET/CT is able to early differentiate between breast cancer lesions with pathological complete response (pCR) and lesions without pathological complete response (npCR) after two cycles of neoadjuvant chemotherapy (NACT). Material and Methods: In this retrospective study 26 breast cancer patients (mean age, 46.9 years±9.9 years) underwent a pre-therapeutic FDG-PET/CT scan and a subsequent FDG-PET/CT after the second cycle of NACT. Histopathology of resected specimen served as the reference standard. Maximum standardized uptake values (SUVmax) of cancer lesions before and after the second cycle of NACT were measured. Two evaluation algorithms were used: (a) pCR: Sinn Score 3 and 4, npCR: Sinn Score 0-2; (b) pCR: Sinn Score 4, npCR: Sinn Score 0-3. The absolute and relative decline of the SUVmax (Δ SUVmax, ΔSUVmax(%)) was calculated. Differences of the SUVmax as well as of the SUVmax decline between pCR lesions and npCR lesions were tested for statistical significance P < 0.05. To identify the optimal cut-off value of ΔSUVmax(%) to differentiate between pCR lesions and npCR lesions a receiver-operating curve (ROC) analysis was performed. Results: Using evaluation algorithm A the ΔSUVmax was 13.5 (pCR group) and 3.9 (npCR group) (P = 0.006); the DSUVmax(%) was 79% and 47%, respectively (P = 0.001). On ROC analysis an optimal cut-off ΔSUVmax(%) of 66% was found. Using evaluation algorithm B the ΔSUVmax was 17.5 (pCR group) and 4.9 (npCR group) (P = 0.013); the ΔSUVmax(%) was 89% and 51%, respectively (P = 0.003). On ROC analysis an optimal cut-off ΔSUVmax(%) of 88% was found. Conclusion: FDG-PET/CT may be able to early differentiate between pCR and npCR of primary breast cancer lesions after two cycles of NACT.
机译:背景:在接受新辅助化疗的患者中,约有四分之一对所给的治疗没有足够的反应。通过区分反应者和非反应者,可以防止无效的毒性疗法。目的:回顾性测试在两个新辅助化疗(NACT)周期后,FDG-PET / CT是否能够早期区分具有病理完全反应(pCR)的乳腺癌病变和无病理完全反应(npCR)的病变。材料和方法:在这项回顾性研究中,对26名乳腺癌患者(平均年龄46.9岁±9.9岁)进行了治疗前的FDG-PET / CT扫描,并在第二个NACT周期后进行了FDG-PET / CT扫描。切除标本的组织病理学作为参考标准。在第二个NACT周期之前和之后,测量癌症病变的最大标准化摄取值(SUVmax)。使用了两种评估算法:(a)pCR:辛恩得分3和4,npCR:辛恩得分0-2; (b)pCR:辛恩得分4,npCR:辛恩得分0-3。计算了SUVmax的绝对和相对下降(ΔSUVmax,ΔSUVmax(%))。测试了pCR病变和npCR病变之间SUVmax以及SUVmax下降的差异的统计学显着性P <0.05。为了确定ΔSUVmax(%)的最佳临界值以区分pCR病变和npCR病变,进行了受试者工作曲线(ROC)分析。结果:使用评估算法A,ΔSUVmax为13.5(pCR组)和3.9(npCR组)(P = 0.006); DSUVmax(%)分别为79%和47%(P = 0.001)。在ROC分析中,发现最佳截止ΔSUVmax(%)为66%。使用评估算法B,ΔSUVmax为17.5(pCR组)和4.9(npCR组)(P = 0.013); ΔSUVmax(%)分别为89%和51%(P = 0.003)。在ROC分析中,发现最佳截止ΔSUVmax(%)为88%。结论:FDG-PET / CT可以在两个NACT周期后早期区分原发性乳腺癌病变的pCR和npCR。

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