多模态影像融合重建技术在骶管囊肿诊断与治疗中的应用

Application of multimodal imaging reconstruction technology in the diagnosis and treatment of sacral cysts

  • 摘要:
    目的  探讨多模态影像融合重建技术在骶管囊肿诊疗中的应用价值。
    方法  回顾性分析2023年6月至2023年12月于首都医科大学附属北京友谊医院行手术治疗的50例骶管囊肿患者的临床资料,其中男性11例、女性39例,年龄(46.5±12.4)岁。通过整合CT、MRI(三维稳态构成干扰序列)及三维Slicer等多模态影像技术,对骶管囊肿患者进行术前精准分型,根据骶管囊肿内是否包含神经根,分为神经根型囊肿和无神经根型囊肿。以术中所见验证分型的准确率,对比多模态影像融合重建技术与传统影像学检查的准确率差异。准确率的比较采用Fisher确切概率法。
    结果 50例患者中,神经根型囊肿患者36例(72.0%),无神经根型囊肿患者14例(28.0%);其中合并骶前囊肿为5例(10.0%)。14例无神经根型囊肿患者共有21个囊肿,囊肿体积为(20.66±9.46) cm3;36例神经根型囊肿患者共有94个囊肿,每例患者的囊肿数为(2.61±2.06)个,75.5%(71/94)的囊肿包含神经根,共累及神经根80条,每例患者囊肿包含的神经根为(2.22±1.59)条,单个囊肿累及的神经根为(0.86±0.23)条。多模态影像融合重建技术对骶管囊肿神经根的诊断准确率(98.0%,49/50)显著高于传统影像学技术的70.0%(35/50)(Fisher确切概率法,P<0.001)。
    结论  基于 3D Slicer 的多模态影像融合重建技术可实现骶管囊肿的精准分型与术前评估,显著提升诊断准确率,为个体化手术方案制定提供可靠依据。

     

    Abstract:
    Objective  To explore the application value of multimodal imaging reconstruction technology in the diagnosis and treatment of sacral cysts.
    Methods  This study included 50 patients with sacral cysts who were treated surgically between June 2023 and December 2023 at the Department of Neurosurgery, Beijing Friendship Hospital, Capital Medical University. These patients consisted of 11 males and 39 females, with an average age of (46.5±12.4) years. Prior to operation, multimodal imaging technologies, such as CT, MRI (3D-CISS sequence), and 3D Slicer, were used to accurately classify the patients depending on whether their sacral canal cyst contains nerve roots as follows: nerve and nonnerve root type cysts. The accuracy of these classifications was verified intraoperatively. The statistical method used was Fisher′s exact probability method.
    Results Among the patients, 36(72.0%) had nerve root cysts, 14(28.0%) had nonnerve root cysts, and 5(10.0%) showed presacral cysts. Among the 14 patients with nonnerve root cysts, 21 cysts with an average volume of (20.66±9.46) cm3 were found. Among the 36 patients with nerve root cysts, 94 cysts (average of 2.61±2.06 cysts per patient) were recorded. Among these nerve root cysts, 71(75.5%) involved the nerve root, affecting 80 nerve roots. Averages of 2.22±1.59 nerve roots involved per patient and 0.86±0.23 nerve roots involved per cyst were recorded. The accuracy of nerve root assessment for sacral cysts using multimodal imaging technology (98.0%, 45/50) was significantly higher than that using traditional imaging technology (70.0%, 35/50) (Fisher's exact probability method, P<0.001).
    Conclusions Multimodal imaging reconstruction technology based on 3D Slicer can achieve the precise classification and preoperative evaluation of sacral cysts, substantially improving diagnostic accuracy and providing reliable basis for individualized surgical planning.

     

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