Department of Gynecology Ward 2, Jingzhou Central Hospital, Jingzhou Hospital, Yangtze University, Jingzhou 434020, Hubei, China.
Contrast Media Mol Imaging. 2022 Mar 23;2022:6495309. doi: 10.1155/2022/6495309. eCollection 2022.
This research was conducted to explore the value of multimodal magnetic resonance imaging (MRI) based on the alternating direction algorithm in the diagnosis of early cervical cancer. 64 patients diagnosed with early cervical cancer clinicopathologically were included, and according to the examination methods, they were divided into A group with conventional multimodal MRI examination and B group with the multimodal MRI examination under the alternating direction algorithm. The diagnostic results of two types of multimodal MRI for early cervical cancer staging were compared with the results of clinicopathological examination to judge the application value in the early diagnosis of cervical cancer. The results showed that in the 6 randomly selected samples of early cervical cancer patients, the peak signal-to-noise ratio (PSNR) and structural similarity image measurement (SSIM) of multimodal MRI images under the alternating direction algorithm were significantly higher than those of conventional multimodal MRI images and the image reconstruction was clearer under this algorithm. By comparing MRI multimodal staging, statistical analysis showed that the staging accuracy of B group was 75%, while that of A group was only 59.38%. For the results of postoperative medical examinations, the examination consistency of B group was better than that of A group, with a statistically significant difference ( < 0.05). The area under the receiver operating characteristic (ROC) curve (AUC) of B group was larger than that of A group; thus, sensitivity was improved and misdiagnosis was reduced significantly. Multimodal MRI under the alternating direction algorithm was superior to conventional multimodal MRI examination in the diagnosis of early cervical cancer, as the lesions were displayed more clearly, which was conducive to the detection rate of small lesions and the staging accuracy. Therefore, it could be used as an ideal MRI method for the assistant diagnosis of cervical cancer staging.
本研究旨在探讨基于交替方向算法的多模态磁共振成像（MRI）在早期宫颈癌诊断中的价值。纳入了 64 例经临床病理诊断为早期宫颈癌的患者，根据检查方法分为常规多模态 MRI 检查的 A 组和基于交替方向算法的多模态 MRI 检查的 B 组。比较两种多模态 MRI 对早期宫颈癌分期的诊断结果与临床病理检查结果，判断其在宫颈癌早期诊断中的应用价值。结果显示，在 6 例随机选择的早期宫颈癌患者的样本中，基于交替方向算法的多模态 MRI 图像的峰值信噪比（PSNR）和结构相似性图像测量（SSIM）明显高于常规多模态 MRI 图像，且图像重建更为清晰。通过比较 MRI 多模态分期，统计分析显示 B 组的分期准确率为 75%，而 A 组仅为 59.38%。对于术后医学检查的结果，B 组的检查一致性优于 A 组，差异具有统计学意义（ < 0.05）。B 组的受试者工作特征（ROC）曲线下面积（AUC）大于 A 组；因此，B 组的敏感性显著提高，误诊率显著降低。基于交替方向算法的多模态 MRI 在早期宫颈癌诊断中优于常规多模态 MRI 检查，病变显示更为清晰，有利于小病灶的检出率和分期准确性。因此，它可以作为宫颈癌分期辅助诊断的理想 MRI 方法。
