PDF(Pubmed)
Abstract：
UNASSIGNED: Breast-conserving surgery (BCS) is the preferred method for early breast cancer, and the accurate preoperative prediction of the feasibility of BCS can formulate the surgical plan and reduce the violation of the patient\'s will. The present study proposed to explore the preoperative magnetic resonance imaging (MRI) features associated with failed BCS and constructed an MRI-based model to predict BCS.
UNASSIGNED: This retrospective study included patients between March 2015 and July 2016, who planned to undergo BCS, had preoperative MRI examination, and had at least 2 years of follow-up. A total of 30 patients with failed BCS were identified and matched with 90 patients with successful BCS (ratio 1:3) according to age, neoadjuvant therapy, and hormone receptor expression. The patients were divided into the training group for model construction and the testing group for model validation. The MRI features, including the site of the tumor, the lesion type, and the lesion and breast volume, were compared between failure and successful BCS groups. A multivariate logistic model for predicting failed BCS was constructed using independent factors associated with failed BCS from the training group and was evaluated in the testing group. The performance of the model was evaluated using the receiver operating characteristic (ROC) curve.
UNASSIGNED: The mean age of the cohort was 45.7±10.3 years. A significantly more non-mass lesion and multifocality, the larger volume of lesion, and the ratio of lesion and breast volume were observed in failed BCS group compared to the successful BCS group. The ratio of lesion and breast volume and multifocality were independent factors associated with failed BCS, odds ratios were 1.044 (95% CI: 1.016-1.074) and 11.161 (95% CI: 1.739-71.652), respectively. An MRI-based model for predicting failed BCS was established, the area under the ROC curves in the training and testing group were 0.902 and 0.821, respectively.
UNASSIGNED: This model might help clinicians predict failed BCS preoperatively and make an accurate surgical strategy.
UNASSIGNED: This retrospective study included patients between March 2015 and July 2016, who planned to undergo BCS, had preoperative MRI examination, and had at least 2 years of follow-up. A total of 30 patients with failed BCS were identified and matched with 90 patients with successful BCS (ratio 1:3) according to age, neoadjuvant therapy, and hormone receptor expression. The patients were divided into the training group for model construction and the testing group for model validation. The MRI features, including the site of the tumor, the lesion type, and the lesion and breast volume, were compared between failure and successful BCS groups. A multivariate logistic model for predicting failed BCS was constructed using independent factors associated with failed BCS from the training group and was evaluated in the testing group. The performance of the model was evaluated using the receiver operating characteristic (ROC) curve.
UNASSIGNED: The mean age of the cohort was 45.7±10.3 years. A significantly more non-mass lesion and multifocality, the larger volume of lesion, and the ratio of lesion and breast volume were observed in failed BCS group compared to the successful BCS group. The ratio of lesion and breast volume and multifocality were independent factors associated with failed BCS, odds ratios were 1.044 (95% CI: 1.016-1.074) and 11.161 (95% CI: 1.739-71.652), respectively. An MRI-based model for predicting failed BCS was established, the area under the ROC curves in the training and testing group were 0.902 and 0.821, respectively.
UNASSIGNED: This model might help clinicians predict failed BCS preoperatively and make an accurate surgical strategy.
摘要：
未经授权：保乳手术（BCS）是早期乳腺癌的首选方法，术前准确预测BCS的可行性,可以制定手术方案,减少对患者意志的违背。本研究旨在探索与失败的BCS相关的术前磁共振成像（MRI）特征，并构建基于MRI的模型来预测BCS。
UNASSIGNED：这项回顾性研究包括2015年3月至2016年7月计划接受BCS的患者，术前做过核磁共振检查,并有至少2年的随访。根据年龄，共确定30例BCS失败的患者，并与90例BCS成功的患者进行匹配（比例为1：3），新辅助治疗,和激素受体表达。将患者分为训练组进行模型构建和试验组进行模型验证。MRI特征,包括肿瘤的部位，病变类型,病变和乳房体积，比较失败和成功BCS组。使用与来自训练组的失败的BCS相关的独立因素构建了用于预测失败的BCS的多变量逻辑模型，并在测试组中进行了评估。使用接收器工作特性（ROC）曲线评估模型的性能。
未经证实：该队列的平均年龄为45.7±10.3岁。非肿块性病变和多病灶明显增多，病变体积越大，与BCS成功组相比，BCS失败组的病灶比例和乳腺体积。病变比例、乳腺体积和多病灶是BCS失败的独立因素。比值比为1.044(95%CI：1.016-1.074)和11.161(95%CI：1.739-71.652)，分别。建立了基于MRI的BCS失效预测模型,训练组和试验组的ROC曲线下面积分别为0.902和0.821.
UNASSIGNED：该模型可能有助于临床医生术前预测失败的BCS并制定准确的手术策略。
UNASSIGNED：这项回顾性研究包括2015年3月至2016年7月计划接受BCS的患者，术前做过核磁共振检查,并有至少2年的随访。根据年龄，共确定30例BCS失败的患者，并与90例BCS成功的患者进行匹配（比例为1：3），新辅助治疗,和激素受体表达。将患者分为训练组进行模型构建和试验组进行模型验证。MRI特征,包括肿瘤的部位，病变类型,病变和乳房体积，比较失败和成功BCS组。使用与来自训练组的失败的BCS相关的独立因素构建了用于预测失败的BCS的多变量逻辑模型，并在测试组中进行了评估。使用接收器工作特性（ROC）曲线评估模型的性能。
未经证实：该队列的平均年龄为45.7±10.3岁。非肿块性病变和多病灶明显增多，病变体积越大，与BCS成功组相比，BCS失败组的病灶比例和乳腺体积。病变比例、乳腺体积和多病灶是BCS失败的独立因素。比值比为1.044(95%CI：1.016-1.074)和11.161(95%CI：1.739-71.652)，分别。建立了基于MRI的BCS失效预测模型,训练组和试验组的ROC曲线下面积分别为0.902和0.821.
UNASSIGNED：该模型可能有助于临床医生术前预测失败的BCS并制定准确的手术策略。
