Department of Oncology Radiotherapy, The Third Affiliated Hospital of Wenzhou Medical University (Ruian People's Hospital), Ruian, Wenzhou, 325200 Zhejiang, China.
Department of Radiology and Imaging, The Third Affiliated Hospital of Wenzhou Medical University (Ruian People's Hospital), Ruian, Wenzhou, 325200 Zhejiang, China.
Comput Math Methods Med. 2022 Jul 28;2022:4449696. doi: 10.1155/2022/4449696. eCollection 2022.
The aim of this study was to investigate the magnetic resonance imaging (MRI) features of patients with local recurrence and distant metastasis of cervical squamous cell carcinoma before and after concurrent chemoradiotherapy based on artificial intelligence algorithm. In this study, 100 patients with cervical squamous cell carcinoma with local recurrence and distant metastasis who underwent concurrent chemoradiotherapy were collected as the research subjects, and all underwent MRI multisequence imaging scans. At the same time, according to the evaluation criteria of solid tumor efficacy, patients with complete remission were classified into the effective group, and patients with partial remission, progressive disease, and stable disease were classified into the ineffective group. In addition, an image segmentation algorithm based on Balloon Snake model was proposed for MRI image processing, and simulation experiments were carried out. The results showed that the Dice coefficient of the proposed model segmentation of the reconstructed image was significantly higher than that of the level set model and the greedy algorithm, while the running time was the opposite ( < 0.05). The lesion volume (38.76 ± 5.34 cm) in the effective group after treatment was significantly smaller than that in the noneffective group (46.33 ± 4.64 cm), and the rate of lesion volume shrinkage (28.71%) was significantly larger than that in the noneffective group (12.49%) ( < 0.05). The relative apparent diffusion coefficient (rADC) value and rADC value change rate of the lesion after treatment in the effective group were significantly greater than those in the noneffective group ( < 0.05). In summary, the image segmentation and reconstruction algorithm based on Balloon Snake model can not only improve the quality of MRI images but also shorten the processing time and improve the diagnostic efficiency. The volume regression rate and rADC value change rate of cervical squamous cell carcinoma lesion can reflect the early efficacy of concurrent chemoradiotherapy for cervical squamous cell carcinoma and have predictive value.
本研究旨在基于人工智能算法探讨局部复发和远处转移的宫颈鳞癌患者在同期放化疗前后的磁共振成像（MRI）特征。本研究收集了 100 例局部复发和远处转移的宫颈鳞癌患者作为研究对象，均行 MRI 多序列成像扫描。同时，根据实体瘤疗效评价标准，完全缓解患者归入有效组，部分缓解、疾病进展、疾病稳定患者归入无效组。此外，提出了一种基于 Balloon Snake 模型的图像分割算法，进行了仿真实验。结果表明，与水平集模型和贪婪算法相比，所提出模型分割的重建图像的 Dice 系数明显更高，而运行时间则相反（<0.05）。治疗后有效组的病变体积（38.76±5.34 cm）明显小于无效组（46.33±4.64 cm），病变体积缩小率（28.71%）明显大于无效组（12.49%）（<0.05）。治疗后有效组的病变相对表观扩散系数（rADC）值和 rADC 值变化率明显大于无效组（<0.05）。综上所述，基于 Balloon Snake 模型的图像分割和重建算法不仅可以提高 MRI 图像的质量，而且可以缩短处理时间，提高诊断效率。宫颈鳞癌病变的体积回归率和 rADC 值变化率可以反映宫颈鳞癌同期放化疗的早期疗效，具有预测价值。
