Trans-sulcal versus trans-parenchymal approach in supratentorial cavernomas. A multicentric experience.

OBJECTIVES: Cavernous malformations (CM) are low-flow vascular lesions that can cause significant symptoms and neurological deficits. Different intraoperative surgical approaches have been developed. Aim of the present investigation is the comparison between the trans-sulcal approach (TS) and the trans-parenchymal neuronavigation-assisted approach (TPN) in a surgical series from two neurosurgical centers. The technique and clinical outcomes are discussed, with a specific focus on seizure outcome. PATIENTS AND METHODS: Clinical and radiological data from two neurosurgical centers ("A. Gemelli" Hospital in Rome and A.O.U. Città della Salute e della Scienza in Turin) were retrospectively reviewed in order to evaluate the different outcome of TS and TPN approach for cavernous malformation treatment. RESULTS: A total of 177 patients underwent surgical intervention for supratentorial CM, 130 patients with TPN approach and 47 with TS approach. TS approach was associated with higher rate of seizure in early post-operative period both in epileptic patients (p < 0,001) and in patients without history of seizures before surgery (p = 0,002). Moreover, length of incision (p < 0,001), area of craniotomy (p < 0,001) and corticectomy (p < 0,001) were bigger in TS than in TPN approach. Brain contusion (p < 0,001) and fluid collection (p < 0,001) were more likely to be discovered after TS approach. CONCLUSIONS: TPN is a valuable approach for resection of CM. Minor complications are significantly lower in TPN approach when compared with TS approach. In addition, it is associated with lower rate of early post-operative seizure and shorter length of stay.

Characterization of drying paint coatings by dynamic speckle and holographic interferometry measurements.

In this work we implemented dynamic speckle and holographic interferometry techniques to characterize the drying process of solvent-based paint coatings. We propose a simple way to estimate drying time by measuring speckle activity and incrementally fitting experimental data through standard regression algorithms. This allowed us to predict drying time after about 20-30 min of paint application, which is fast compared to usual times required to reach the so-called tack-free state (≈2 h). In turn, we used holographic interferometry to map small thickness variations in the coating surface during drying. We also demonstrate that results obtained from both techniques correlate with each other, which allows us to improve the accuracy of the drying time estimation.