Department of Radiology, The Jingmen No. 1 People's Hospital, Jingmen 448000, Hubei, China.
J Healthc Eng. 2021 Nov 29;2021:3080640. doi: 10.1155/2021/3080640. eCollection 2021.
This study aimed to explore the therapeutic effects of neoadjuvant chemoradiotherapy (NCRT) on rectal cancer patients using the MRI based on low-rank matrix denoising algorithm, which was then compared with the postoperative pathological examination to evaluate its application value in tumor staging after NCRT treatment. 15 patients with rectal cancer who met the requirements of radiotherapy and chemotherapy after conventional MRI were selected as the research subjects. The conventional MRI images before and after NCRT treatment were divided in two groups. One group was not processed and set as the conventional group; the other group was processed with low-rank matrix denoising algorithm and set as the optimized group. The two groups of images were observed for the changes in the ADC value and length and thickness of the tumor before and after NCRT treatment. The two groups were compared with the pathological examination for the complete remission of pathology (pCR) after the NCRT treatment and the tumor stage results. The results showed that Root Mean Square Error (RMSE) and Peak Signal to Noise Ratio (PSNR) (18.9121 and 74.9911 dB) after introducing the low-rank matrix denoising algorithm were significantly better than those before (20.1234 and 70.1234 dB) ( < 0.05); there were notable differences in the tumor index data within the two groups before and after NCRT treatment ( < 0.05), indicating that the NCRT treatment was effective. The pathological examination results of pCR data of the two groups were not much different ( > 0.05); the examination results between the two groups were different, but no notable difference was noted ( < 0.05); in the optimized group, there was no notable difference between the MRI results and the pathological examination results ( < 0.05), while in the conventional group, there were notable differences in the MRI results and pathological examination results ( < 0.05). In conclusion, MRI images based on low-rank matrix denoising algorithm are clearer, which can improve the diagnosis rate of patients and better display the changes of the microenvironment after NCRT treatment. It also indicates that NCRT treatment has significant clinical effects in the treatment of rectal cancer patients, which is worth promoting.
本研究旨在探讨基于低秩矩阵去噪算法的磁共振成像（MRI）在新辅助放化疗（NCRT）治疗直肠癌患者中的治疗效果，并与术后病理检查进行比较，以评估其在 NCRT 治疗后肿瘤分期中的应用价值。选择符合放疗和化疗要求的 15 例直肠癌患者作为研究对象。将 NCRT 治疗前后的常规 MRI 图像分为两组，一组不进行处理设为常规组，另一组采用低秩矩阵去噪算法进行处理设为优化组。观察两组患者 NCRT 治疗前后肿瘤 ADC 值及肿瘤长度、厚度的变化，并与 NCRT 治疗后的病理完全缓解（pCR）及肿瘤分期结果进行比较。结果显示，引入低秩矩阵去噪算法后，均方根误差（RMSE）和峰值信噪比（PSNR）分别为（18.9121 和 74.9911 dB），明显优于（20.1234 和 70.1234 dB）（ < 0.05）；两组患者 NCRT 治疗前后肿瘤指数数据差异有统计学意义（ < 0.05），提示 NCRT 治疗有效。两组患者 pCR 病理检查结果差异无统计学意义（ > 0.05）；两组检查结果差异无统计学意义（ < 0.05）；在优化组中，MRI 结果与病理检查结果差异无统计学意义（ < 0.05），而在常规组中，MRI 结果与病理检查结果差异有统计学意义（ < 0.05）。综上所述，基于低秩矩阵去噪算法的 MRI 图像更加清晰，可提高患者的诊断率，更好地显示 NCRT 治疗后微环境的变化。同时也表明 NCRT 治疗对直肠癌患者具有显著的临床疗效，值得推广。
