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Deafferentiation pain following brachial plexus root avulsion has been documented to be severe enough to affect activities of daily living in patients. Microsurgical DREZotomy is known to alleviate the symptoms by decreasing the afferent signals transmitted from the spinal cord to sensory cortex. To document and analyse the effectiveness of DREZotomy and to evaluate the role of 'sensory cortex' in the cause and relief of dysesthetic pain, using fMRI. This was a prospective study conducted between 2010 and 2016 and included all patients who underwent DREZotomy for dysesthetic pain following traumatic brachial plexus injury (TBPI). Patients were evaluated both preoperatively and postoperatively with Visual Analogue Scale(VAS), Hospital Anxiety and Depression score (HADS) and SF36 questionnaire and effectiveness of surgery was assessed. Functional magnetic resonance imaging (fMRI) of the brain in resting state was performed before and after surgery and was also compared with controls. Patients underwent standard microsurgical DREZotomy from C5 to D1. Postoperative assessment was done at 6 weeks and 6 months following surgery. Our series had 18 patients aged between 22 and 63 years. RTA was the most common cause of injury. There was significant decrease in pain at 6 months follow up compared to pre-operative values as assessed by VAS, HADS, SF36 questionnaire. fMRI analysis revealed cluster activations in the sensory, motor cortex and in the right cingulate gyrus in the preoperative group which was higher than in normal controls. In the postoperative group, the size of the resting state activation was significantly reduced. DREZotomy is an effective procedure for TBPI patients. We hypothesize that these fMRI findings reflect the cortical reorganization that occurs not only after injury but also following successful surgery which explains the cause and relief of dyesthetic pain. [ABSTRACT FROM AUTHOR]

Chaotic lipomas are an extremely rare variant of spinal lipomas. This entity was first defined in 2009 by Pang and colleagues. Not much has been written about this variant. Its characteristic is the haphazard distribution of DREZ (Dorsal root entry zone), nerve roots and placode-lipoma interface. Thus complete/near-total excision of this lesion is quite difficult. We describe a case of chaotic spinal lipoma and elucidate the challenges faced in the management of this entity and review the literature. We performed a thorough systematic review with the keyword 'chaotic', 'Lipomyelomeningocele', 'Complex Lipomyelomeningocele', 'LMMC', 'Lumbar lipoma', 'spinal lipoma' in the google scholar and PUBMED data system for indexed literature on the above topic with no particular time frame. The studies quoted range earliest from 1970 till currently. Additional potential relevant articles were further retrieved through a manual search of references from original reports. Out of 42 studies, a total of 21 publications were selected which could have encountered a chaotic variant, but due to the term introduced only recently in 2009, may have been described differently. Studies encompassing true lipomeningomyelocele were excluded from our review. What we found out? Chaotic lipoma may not be a new entity. The scarce description in literature may be in part due to non-introduction and unclear description of this term earlier. The management of this variant is particularly challenging with basic principles remaining the same. Meticulous near-total excision and placode-lipoma construct are the major obstacles. [ABSTRACT FROM AUTHOR]

Introduction: Syndromic craniosynostosis (SC) is a rare entity compared to the non-syndromic variant. Treatment involves a multidisciplinary approach towards a multitude of problems. Early intervention is known to be better for optimum results. We reviewed outcomes of children with SC who underwent reconstructive cranio-facial surgery. Materials and Methods: A retrospective study was conducted using data from hospital case files and the picture archival communication system. Objective data like the cephalic index (CI), both preoperatively and post-operatively, were compared. Subjective data for the cosmesis outcome – "Sloan and Whitaker outcome class" – following surgery were assessed. Also, parent-reported outcome measurement (PROM) was performed with various parameters to assess quality of life (QOL). Results: We had 21 operated cases of SC, with 19 needing cranio-facial remodelling. The male to female ratio was 11:10. Crouzon's syndrome was the most common syndromic association followed by Apert's syndrome. Nineteen patients underwent cranio-facial remodelling surgeries and 2 underwent the ventriculo-peritoneal shunt only – for raised intracranial pressure (ICP). Nine patients underwent cranial remodelling with fronto-orbital advancements, and 3 of these patients also received le-fort's type 3 osteotomy and advancement later. Ten patients underwent fronto-orbital advancement with parieto-occipital barrel-stave osteotomies. Outcomes: Improvement in the CI was maximum at the 6-month follow-up. Six (37.5%) cases had Sloan class 1 outcome, 9 (56.25%) had class 2 outcomes, and 1 patient had a class 6 outcome. Whitaker cosmesis outcomes – 14 out of 16 cases (87.5%) had Category 1 outcomes. PROM was assessed. All parents reported at least a moderate improvement in cosmesis following surgery. Out of 15 cases, 10 (66%) reported significant improvement, while 4 (26.6%) cases reported moderate improvement with respect to eye and visual problems. Four parents reported snoring as a significant problem even after surgery. Most parents felt that the children were doing well, attending regular school, and social well-being was normal and had an overall good QOL. Conclusions: SC cases may have a multitude of other problems like raised ICP, ophthalmological problems, poor intelligence, and cognition apart from cosmetic concerns. PROMs revealed good outcomes in terms of cosmesis, cognition, and ophthalmological and oral cavity-related problems. Significant improvement in overall QOL was seen in most patients following cranio-facial remodelling surgery. [ABSTRACT FROM AUTHOR]

Objective: Shunt malfunction is a complication that can have devastating implications. In this study, the authors aimed to evaluate the rate of shunt revision in a single institution over 5 years and to determine the factors associated with shunt revision in the pediatric population., Methods: This retrospective report assimilated data from all patients ≤ 18 years old who underwent shunt surgery between January 2015 and April 2021 at the authors' institute with a minimum of 3 months of follow-up. Patient data regarding demographic characteristics, indications, clinical status, point of entry, operative and CSF findings, revision interval, and cause of failure were collected., Results: Between January 2015 and April 2021, 1112 pediatric patients underwent initial shunt surgery at the authors' institute, among whom 934 patients met the inclusion criteria. Ninety-five patients underwent revision (shunt revision rate 10.2%). The cohort comprised 562 male and 368 female patients (no sex was recorded in 4 cases), with infratentorial tumors (37.8%) being the most common indication for the shunt. Multivariate analyses revealed that younger patient age, right-sided shunt, single surgeon, and shunt placement done in the evening and night were significantly associated with shunt failure. Among all the factors analyzed, female sex had the greatest risk of early shunt failure (OR 2.90 [95% CI 1.09-8.16], p = 0.037). The presence of prior external ventricular drainage was associated with an increased risk of multiple revisions (OR 6.67 [95% CI 1.60-32.52], p = 0.012). The most common cause of failure was obstruction, usually at the cranial end. The most common cause of distal failure was malposition of the abdominal end., Conclusions: This study identifies various factors associated with shunt failure. Various goal-directed strategies toward modifiable risk factors can significantly improve shunt survival.

Checklist based routine evaluation of surgical skills in any medical school demands quality time and effort from the supervising expert and is highly influenced by assessor bias. Alternatively, automated video based surgical skill assessment is a simple and viable method to analyse surgical dexterity offline without the need for acute presence of an expert surgeon throughout the surgery. In this paper, a novel approach and results for the automated segmentation of microsurgical instruments from the real-world neurosurgical video dataset was presented. The proposed tool segmentation model showcased mean average precision of 96.7% in detecting, and localizing five surgical instruments from the real-world neurosurgical videos. Accurate detection and characterization of motion features of the microsurgical tool from the novel annotated neurosurgical video dataset forms the key step towards automated surgical skill evaluation. Clinical Relevance- Tool segmentation, localization, and characterization in neurosurgical video, has several applications including assessing surgeons skills, training novice surgeons, understanding critical operating procedures post surgery, characterizing any critical anatomical response to the tool that leads to the success or failure of the surgery, and building models for conducting autonomous robotic surgery. Semantic segmentation, and characterization of the microsurgical tools forms the basis of the modern neurosurgery.

Brain surgery is complex and has evolved as a separate surgical specialty. Surgical procedures on the brain are performed using dedicated micro-instruments which are designed specifically for the requirements of operating with finesse in a confined space. The usage of these microsurgical tools in an operating environment defines the surgical skill of a surgeon. Video recordings of micro-surgical procedures are a rich source of information to develop automated surgical assessment tools that can offer continuous feedback for surgeons to improve their skills, effectively increase the outcome of the surgery, and make a positive impact on their patients. This work presents a novel deep learning system based on the Yolov5 algorithm to automatically detect, localize and characterize microsurgical tools from recorded intra-operative neurosurgical videos. The tool detection achieves a high 93.2% mean average precision. The detected tools are then characterized by their on-off time, motion trajectory and usage time. Tool characterization from neurosurgical videos offers useful insight into the surgical methods employed by a surgeon and can aid in their improvement. Additionally, a new dataset of annotated neurosurgical videos is used to develop the robust model and is made available for the research community.Clinical relevance- Tool detection and characterization in neurosurgery has several online and offline applications including skill assessment and outcome of the surgery. The development of automated tool characterization systems for intra-operative neurosurgery is expected to not only improve the surgical skills of the surgeon, but also leverage in training the neurosurgical workforce. Additionally, dedicated neurosurgical video based datasets will, in general, aid the research community to explore more automation in this field.