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术前 PET/CT 评分比 CT 评分、MTV、肿瘤标志物和血液标志物更能预测晚期浆液性卵巢癌肿瘤细胞减灭术后的不完全切除。

Preoperative PET/CT score can predict incomplete resection after debulking surgery for advanced serous ovarian cancer better than CT score, MTV, tumor markers and hematological markers.

机构信息

Department of Nuclear Medicine, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.

Department of Radiology, The People's Hospital of Yubei District of Chongqing City, Chongqing, China.

出版信息

Acta Obstet Gynecol Scand. 2022 Nov;101(11):1315-1327. doi: 10.1111/aogs.14442. Epub 2022 Aug 18.

Abstract

INTRODUCTION

Complete resection after debulking surgery is strongly associated with prolonged survival for advanced serous ovarian cancer (ASOC). Though positron emission tomography/computed tomography (PET/CT) is more advantageous than computed tomorgraphy (CT) for detecting metastases, studies on the PET/CT prediction model for incomplete resection for ovarian cancer are insufficient. We analyzed and compared the predictive value of preoperative PET/CT score, CT score, metabolic parameters, tumor markers and hematological markers for incomplete resection after debulking surgery for ASOC.

MATERIAL AND METHODS

A total of 62 ASOC patients who underwent preoperative [ F]FDG PET/CT and debulking surgery were retrospectively analyzed. PET/CT and CT scores were based on the Suidan model. The predictive value of PET/CT score, CT score, the maximum standardized uptake value (SUVmax), metabolic tumor volume (MTV), human epididymis protein 4 (HE4), cancer antigen 125 (CA125), lymphocyte-to-monocyte ratio (LMR), platelet-to-lymphocyte ratio (PLR) and neutrophil-to-lymphocyte ratio (NLR) for incomplete resection were analyzed and compared.

RESULTS

Preoperative PET/CT score had the highest predictive value for incomplete resection in primary debulking surgery group (sensitivity: 65.0%, specificity: 88.9%, area under the ROC curve (AUC): 0.847, p < 0.001), however, in secondary debulking surgery group, preoperative PET/CT score and CT score had the same and highest predictive value for incomplete resection (sensitivity: 80.0%, specificity: 94.7%, AUC: 0.853, p = 0.017), compared with preoperative metabolic parameters SUVmax and MTV, tumor markers HE4 and CA125, and hematological markers LMR, PLR and NLR. Preoperative PET/CT score ≥ 3 (Suidan model) and preoperative PET/CT score ≥ 2 predicted a high risk of incomplete resection after primary and secondary debulking surgeries, respectively. There was no statistical difference between primary and secondary debulking surgery groups in predictive value of PET/CT score for incomplete resection (p = 0.971). There were significant differences between PET/CT scores and CT scores in primary debulking surgery group and no significant differences in secondary debulking surgery group.

CONCLUSIONS

A high PET/CT score predicted a high risk of incomplete resection. The preoperative PET/CT score had an identical predictive value in primary and secondary debulking surgery groups. PET/CT score was more accurate in the detection of metastases than CT score was.

摘要

简介

对于晚期浆液性卵巢癌(ASOC),肿瘤细胞减灭术后的完全切除与延长生存时间密切相关。正电子发射断层扫描/计算机断层扫描(PET/CT)在检测转移方面比计算机断层扫描(CT)更具优势,但针对卵巢癌不完全切除的 PET/CT 预测模型的研究还不够充分。我们分析并比较了术前 PET/CT 评分、CT 评分、代谢参数、肿瘤标志物和血液学标志物对 ASOC 肿瘤细胞减灭术后不完全切除的预测价值。

材料与方法

回顾性分析了 62 例接受术前 [F]FDG PET/CT 和肿瘤细胞减灭术的 ASOC 患者。基于 Suidan 模型对 PET/CT 和 CT 评分进行了评估。分析并比较了 PET/CT 评分、CT 评分、最大标准摄取值(SUVmax)、代谢肿瘤体积(MTV)、人附睾蛋白 4(HE4)、癌抗原 125(CA125)、淋巴细胞与单核细胞比值(LMR)、血小板与淋巴细胞比值(PLR)和中性粒细胞与淋巴细胞比值(NLR)对不完全切除的预测价值。

结果

在原发性肿瘤细胞减灭术组中,术前 PET/CT 评分对不完全切除的预测价值最高(灵敏度:65.0%,特异性:88.9%,ROC 曲线下面积(AUC):0.847,p<0.001),而在继发性肿瘤细胞减灭术组中,术前 PET/CT 评分和 CT 评分对不完全切除的预测价值相同且最高(灵敏度:80.0%,特异性:94.7%,AUC:0.853,p=0.017),与术前代谢参数 SUVmax 和 MTV、肿瘤标志物 HE4 和 CA125 以及血液学标志物 LMR、PLR 和 NLR 相比。术前 PET/CT 评分≥3(Suidan 模型)和术前 PET/CT 评分≥2 分别预测原发性和继发性肿瘤细胞减灭术的不完全切除风险较高。在原发性和继发性肿瘤细胞减灭术组中,PET/CT 评分对不完全切除的预测价值无统计学差异(p=0.971)。在原发性肿瘤细胞减灭术组中,PET/CT 评分与 CT 评分存在显著差异,而在继发性肿瘤细胞减灭术组中,差异无统计学意义。

结论

高 PET/CT 评分预示着不完全切除的高风险。术前 PET/CT 评分在原发性和继发性肿瘤细胞减灭术组中的预测价值相同。与 CT 评分相比,PET/CT 评分在检测转移方面更准确。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e1a1/9812200/9721a5240fcf/AOGS-101-1315-g005.jpg

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