Minimally invasive endoscopically assisted remodelation (MEAR) of sagittal craniosynostosis: an alternative technique to open and endoscopic procedures with cranial orthosis time span reduction.

INTRODUCTION: Sagittal craniosynostosis represents the most frequent simplex skull suture pathology. There are currently several operative approaches to this defect. Minimally invasive techniques are preferred for young infants. Since July 2017, we have employed endoscopically assisted craniectomies followed by cranial orthosis. Gradually, we have developed our modified technique, the minimally invasive endoscopically assisted remodelation (MEAR). SURGICAL TECHNIQUE: MEAR is a combination of principles gained from classical cranial vault remodeling techniques and minimal invasive approaches. The long and wider lateral osteoectomies performed in the parietal and occipital bones along with loosening of the periosteum and dura adhesions at the lambdoid sutures lead to early correction of parieto-occipital dimensions. RESULTS: Thirty-one consecutive patients with scaphocephaly underwent MEAR. The median preoperative cephalic index of 67 units (P25:63.3, P75:70) was improved to a median postoperative cephalic index of 77 units (P25:75, P75: 81). Sufficient correction was achieved in all patients. Cranial orthosis was needed for a median of 1.5 months (P25:1, P75:2). We had no major surgical complications in this pilot series. CONCLUSIONS: With MEAR, we have achieved good cosmetic results. Duration of cranial orthosis was significantly shortened compared to conventional endoscopic-assisted procedures.

Sagittal craniosynostosis associated with midline cephalhematoma or vice versa, case report and a review of the literature.

INTRODUCTION: Sagittal craniosynostosis associated with midline cephalhematoma is a rare finding. Despite the controversy regarding its etiopathogenesis, this condition represents a clear indication for surgery. CASE REPORT: We present a case of a 10-week-old boy with an ossified midline vertex cephalhematoma and sagittal craniosynostosis. The child underwent a cephalhematoma excision and minimally invasive non-endoscopic narrow vertex craniectomy, with calvarial vault remodeling followed by 2 weeks use of a cranial orthosis. On 5-month follow-up, mesocephaly was achieved. CONCLUSION: Our case is well documented with native CT, 3D CT, intraoperative pictures, and 3D head scan imaging. We described our minimally invasive non-endoscopic technique that led to a rapid cranial vault remodeling with reduction of cranial orthosis need. A review of literature focused on surgical techniques is included.

IOeRT conventional and FLASH treatment planning system implementation exploiting fast GPU Monte Carlo: The case of breast cancer.

Partial breast irradiation for the treatment of early-stage breast cancer patients can be performed by means of Intra Operative electron Radiation Therapy (IOeRT). One of the main limitations of this technique is the absence of a treatment planning system (TPS) that could greatly help in ensuring a proper coverage of the target volume during irradiation. An IOeRT TPS has been developed using a fast Monte Carlo (MC) and an ultrasound imaging system to provide the best irradiation strategy (electron beam energy, applicator position and bevel angle) and to facilitate the optimisation of dose prescription and delivery to the target volume while maximising the organs at risk sparing. The study has been performed in silico, exploiting MC simulations of a breast cancer treatment. Ultrasound-based input has been used to compute the absorbed dose maps in different irradiation strategies and a quantitative comparison between the different options was carried out using Dose Volume Histograms. The system was capable of exploring different beam energies and applicator positions in few minutes, identifying the best strategy with an overall computation time that was found to be completely compatible with clinical implementation. The systematic uncertainty related to tissue deformation during treatment delivery with respect to imaging acquisition was taken into account. The potential and feasibility of a GPU based full MC TPS implementation of IOeRT breast cancer treatments has been demonstrated in-silico. This long awaited tool will greatly improve the treatment safety and efficacy, overcoming the limits identified within the clinical trials carried out so far.

Endoscopic third ventriculostomy in an infant with vein of Galen aneurysmal malformation treated by endovascular occlusion: Case report and a review of literature.

INTRODUCTION: Vein of Galen aneurysmal malformations (VGAMs) can, through multiple mechanisms, complicate with hydrocephalus (HCP). It is generally agreed that management strategies in this scenario should focus on endovascular embolizations. Treatment options for non-responders, however, have been only scarcely reported upon. CASE PRESENTATION: We present a nine-month-old boy with a mural type VGAM complicated by HCP. Despite endovascular occlusion of the sole feeder, the child exhibited hydrocephalus progression prompting an Endoscopic Third Ventriculostomy (ETV). This procedure restored a cerebrospinal fluid (CSF) circulation otherwise impaired by aqueduct obstruction. Later, a new feeder arose and a second embolization was ultimately needed in order to achieve VGAM regression. Throughout four years of follow up, the child attained all developmental marks. DISCUSSION/CONCLUSION: VGAMs are prone to hydrocephalus development as there is both an underlying venous congestion and a mechanical, obstructive component. Although there is a rationale for addressing both components, the underlying AV shunts and subsequent venous pressure elevations usually determine failure of traditional CSF shunting strategies. It is therefore challenging to manage HCP in patients who failed to improve following endovascular embolizations. For such cases, ETV stands as an elegant minimal invasive alternative with potential to provide a more physiologic drainage route and thus better allow for neurological development.

Fournier's gangrene secondary to locally advanced prostate cancer: case report and review of the Literature.

Fournier's gangrene is a rare and potentially lethal condition. Previously described as an idiopathic process, this necrotising fasciitis is secondary to infection and in 95% of cases the cause arises from ano-rectum (30-50%), uro-genitalia (20-40%) or genital skin (20%). Cancer could lead to a Fournier's gangrene thanks a Romacompromised host immunity condition. In the past the rate of death was high ranging from 20% to 80%, while currently mortality is decreasing to 10%. We report a case of a 76-years-old man with Fournier's Gangrene due to locally advanced prostate cancer. The multimodal therapeutic management included broad-spectrum antibiotic therapy, intravenous fluid resuscitation and surgical debridement that was delayed by the will of the patient. To our knowledge, this is the first case of Fournier's gangrene caused by prostate cancer without common predisposing factors. In order to improve the knowledge about this rare disease, we performed a narrative review of the literature.

A novel method and software for automatically classifying Alzheimer's disease patients by magnetic resonance imaging analysis.

BACKGROUND AND OBJECTIVE: The cause of the Alzheimer's disease is poorly understood and to date no treatment to stop or reverse its progression has been discovered. In developed countries, the Alzheimer's disease is one of the most financially costly diseases due to the requirement of continuous treatments as well as the need of assistance or supervision with the most cognitively demanding activities as time goes by. The objective of this work is to present an automated approach for classifying the Alzheimer's disease from magnetic resonance imaging (MRI) patient brain scans. The method is fast and reliable for a suitable and straightforward deploy in clinical applications for helping diagnosing and improving the efficacy of medical treatments by recognising the disease state of the patient. METHODS: Many features can be extracted from magnetic resonance images, but most are not suitable for the classification task. Therefore, we propose a new feature extraction technique from patients' MRI brain scans that is based on a recent computer vision method, called Oriented FAST and Rotated BRIEF. The extracted features are processed with the definition and the combination of two new metrics, i.e., their spatial position and their distribution around the patient's brain, and given as input to a function-based classifier (i.e., Support Vector Machines). RESULTS: We report the comparison with recent state-of-the-art approaches on two established medical data sets (ADNI and OASIS). In the case of binary classification (case vs control), our proposed approach outperforms most state-of-the-art techniques, while having comparable results with the others. Specifically, we obtain 100% (97%) of accuracy, 100% (97%) sensitivity and 99% (93%) specificity for the ADNI (OASIS) data set. When dealing with three or four classes (i.e., classification of all subjects) our method is the only one that reaches remarkable performance in terms of classification accuracy, sensitivity and specificity, outperforming the state-of-the-art approaches. In particular, in the ADNI data set we obtain a classification accuracy, sensitivity and specificity of 99% while in the OASIS data set a classification accuracy and sensitivity of 77% and specificity of 79% when dealing with four classes. CONCLUSIONS: By providing a quantitative comparison on the two established data sets with many state-of-the-art techniques, we demonstrated the effectiveness of our proposed approach in classifying the Alzheimer's disease from MRI patient brain scans.

Characterization of a microDiamond detector in high-dose-per-pulse electron beams for intra operative radiation therapy.

PURPOSE: To characterize a synthetic diamond dosimeter (PTW Freiburg microDiamond 60019) in high dose-per-pulse electron beams produced by an Intra Operative Radiation Therapy (IORT) dedicated accelerator. METHODS: The dosimetric properties of the microDiamond were assessed under 6, 8 and 9 MeV electron beams by a NOVAC11 mobile accelerator (Sordina IORT Technologies S.p.A.). The characterization was carried out with dose-per-pulse ranging from 26 to 105 mGy per pulse. The microDiamond performance was compared with an Advanced Markus ionization chamber and a PTW silicon diode E in terms of dose linearity, percentage depth dose (PDD) curves, beam profiles and output factors. RESULTS: A good linearity of the microDiamond response was verified in the dose range from 0.2 Gy to 28 Gy. A sensitivity of 1.29 nC/Gy was measured under IORT electron beams, resulting within 1% with respect to the one obtained in reference condition under (60)Co gamma irradiation. PDD measurements were found in agreement with the ones by the reference dosimeters, with differences in R50 values below 0.3 mm. Profile measurements evidenced a high spatial resolution of the microDiamond, slightly worse than the one of the silicon diode. The penumbra widths measured by the microDiamond resulted approximately 0.5 mm larger than the ones by the Silicon diode. Output factors measured by the microDiamond were found within 2% with those obtained by the Advanced Markus down to 3 cm diameter field sizes. CONCLUSIONS: The microDiamond dosimeter was demonstrated to be suitable for precise dosimetry in IORT applications under high dose-per-pulse conditions.

Application of a new logic domain method for the diagnosis of hepatocellular carcinoma.

In this paper we describe the application of a new learning tool for the diagnosis of hepatocellular carcinoma. The method adopted operates in the logic domain and presents several interesting features for the development of medical diagnostic systems. We consider a database of 128 patients, 64 of which affected by hepatocellular carcinoma, while the others affected by cirrhosis but not from hepatocellular carcinoma. Each patient is described by a number of attributes measured in non-invasive way. The system, after the training, is able to correctly separate the 64 patients affected by cirrhosis from the others 64 affected by hepatocellular carcinoma and is now ready to produce automatic diagnosis for new patients. The hepatocellular carcinoma is one of the most widely spread malignant tumors in the world. The ability to detect the tumor in its early stages in a minimally invasive way is crucial to the treatment of patients with this disease.

Monte Carlo simulation of electron beams generated by a 12 MeV dedicated mobile IORT accelerator.

The aim of this study was to investigate the dosimetric characteristics of the electron beams generated by the light intraoperative accelerator, Liac® (SORDINA, Italy), using Monte Carlo (MC) calculations. Moreover we investigated the possibility of characterizing the Liac® dosimetry with a minimal set of dosimetric data. In fact accelerator commissioning requires measurements of both percentage depth doses (PDDs) and off-axis profiles for all the possible combinations of energy, applicator diameter and bevelled angle. The Liac® geometry and water phantom were simulated in a typical measurement setup, using the MC code EGSnrc/BEAMnrc. A simulated annealing optimization algorithm was used in order to find the optimal non-monoenergetic spectrum of the initial electron beam that minimizes the differences between calculated and measured PDDs. We have concluded that, for each investigated nominal energy beam, only the PDDs of applicators with diameters of 30, 70 and 100 mm and the PDD without an applicator were needed to find the optimal spectra. Finally, the output factors of the entire set of applicator diameters/bevelled angles were calculated. The differences between calculated and experimental output factors were better than 2%, with the exception of the smallest applicator which gave differences between 3% and 4% for all energies. The code turned out to be useful for checking the experimental data from various Liac® beams and will be the basis for developing a tool based on MC simulation to support the medical physicist in the commissioning phase.