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  • Title: [Integration of metabolism images into multimodal neuronavigation for frameless stereotaxy].
    Author: Li FY, Chen XL, He TT, Zhang JS, Song ZJ, Li JJ, Zheng G, Hu S, Zhang T, Xu BN.
    Journal: Zhonghua Wai Ke Za Zhi; 2013 Apr; 51(4):358-61. PubMed ID: 23895760.
    Abstract:
    OBJECTIVES: To evaluate the efficacy of integration of metabolism images into multimodal neuronavigation for frameless stereotactic biopsy. METHODS: From January to December 2012, 32 patients with brain lesions underwent frameless stereotactic biopsy guided by positron emission tomograph (PET) and proton magnetic resonance spectroscopy ((1)H-MRS)-based multimodal neuronavigation and intraoperative magnetic resonance imaging (iMRI). The cohort consisted of 16 male and 16 female patients, with a mean age of 45 years (range: 7 - 62 years). Biopsy targets were identified according to PET and (1)H-MRS. Biopsy was performed with Varioguide frameless biopsy system. Diagnostic yield and complications were assessed. RESULTS: Metabolism images-based multimodal neuronavigation and iMRI were successfully implemented in all cases. iMRI confirmed accuracy of biopsy targets. All the specimens obtained pathological diagnosis, the diagnostic yield was 100%. In 1 patient, iMRI found small hematoma (< 5 ml), surgical evacuation wasn't needed with intraoperative complication rate 3.1%. With the help of multimodal neuronavigation, no patients had new or worsened neurologic deficits. CONCLUSIONS: Integration of metabolism images into multimodal neuronavigation provide not only anatomical, but also metabolic and functional information for frameless stereotaxy, increasing diagnostic yield and avoiding postoperative neurologic deficits.
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