Intra-operative mapping and language protection in glioma.

ABSTRACT: The demand for acquiring different languages has increased with increasing globalization. However, knowledge of the modification of the new language in the neural language network remains insufficient. Although many details of language function have been detected based on the awake intra-operative mapping results, the language neural network of the bilingual or multilingual remains unclear, which raises difficulties in clinical practice to preserve patients' full language ability in neurosurgery. In this review, we present a summary of the current findings regarding the structure of the language network and its evolution as the number of acquired languages increased in glioma patients. We then discuss a new insight into the awake intra-operative mapping protocol to reduce surgical risks during the preservation of language function in multilingual patients with glioma.

Treatment and prognostic factors of pituicytoma: a single-center experience and comprehensive literature review.

PURPOSE: Preoperative diagnosis of pituicytomas is difficult, and management and prognostic factors remain ambiguous. The purpose of this study was to elucidate the radiological characteristics of pituicytoma, to assess the risk factors affecting tumor progression, and to propose the optimal treatment regimen based on comprehensive analysis. METHODS: We reviewed the clinical data of 22 patients with pituicytoma confirmed pathologically in our institution. In addition, 93 cases of pituicytoma in the previous literature were recruited. The individual data of 115 patients were analyzed to evaluate the adverse factors affecting pituicytoma progression. RESULTS: In the combined cohort, 3 of 61 patients who underwent gross-total resection (GTR) developed recurrence (4.9%); of the 54 patients who received non-GTR, 19 progressed (35.2%). Univariate and multivariate Cox regression analysis verified male gender (HR 2.855, 95% CI 1.008-8.089; p = 0.048), TS (transsphenoidal surgery; HR 3.559, 95% CI 1.015-12.476; p = 0.047), and non-GTR (HR 4.388, 95%CI 1.240-15.521; p = 0.022) were independent unfavorable factors for pituicytoma progression. A multivariate logistic regression model verified that tumor diameter ≥ 1.85 cm (OR 4.859, 95% CI 1.335-17.691; p = 0.016) was independent adverse factors for GTR. Compared with TS, OT (open transcranial) is more likely to have postoperative complications (OR 3.185, 95% CI 1.020-9.944; p = 0.046), especially vision deterioration (OR 37.267, 95% CI 4.486-309.595; p = 0.001). CONCLUSION: Based on our findings, GTR was advocated as an optimal treatment for pituicytomas. However, in order to avoid damage to important structures, partial resection is acceptable. After that, adjuvant radiotherapy is recommended for male patients with high Ki-67 index, and the remaining patients can be followed up closely. When the tumor recurs or progresses, it is recommended to re-operate and remove the lesion completely as far as possible. If GTR is still not possible, postoperative radiotherapy for the residual tumor is recommended.

Generalizing Mumford-Shah Model for Multiphase Piecewise Smooth Image Segmentation.

This paper concerns multiphase piecewise smooth image segmentation with intensity inhomogeneities. Traditional methods based on the Mumford-Shah (MS) model require solving complicated diffusion equations evolving in irregular subdomains, leading to significant difficulties in efficient and accurate segmentation, especially in multiphase scenarios. In this paper, we propose a general framework to modify the MS model by using smoothing operators that can avoid the complicated implementation and inaccurate segmentation of traditional approaches. A detailed analysis connecting the smoothing operators and the diffusion equations is given to justify the modification. In addition, we present an efficient algorithm based on the direct augmented Lagrangian method, which requires fewer parameters than the commonly used augmented Lagrangian method. Typically, the smoothing operator in the general model is chosen to be Gaussian kernel, the bilateral kernel, and the directional diffusion kernel, respectively. Ample numerical results are provided to demonstrate the efficiency and accuracy of the modified model and the proposed minimization algorithm through various comparisons with existing approaches.