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1.
Oper Neurosurg (Hagerstown) ; 22(2): 35-43, 2022 02 01.
Article in English | MEDLINE | ID: mdl-35007241

ABSTRACT

BACKGROUND: The temporal bone is difficult to comprehend in three-dimensional (3D) space. We provide a novel 3D mental model of the temporal bone which helps clinicians and surgeons dealing with it in teaching, diagnosing, conservative managements, and preoperative and intraoperative orientation. This study is part of the scientific project Brainatomy. OBJECTIVE: To analyze and simplify the temporal bone anatomy to enhance its comprehension and long-term retention. METHODS: The study was conducted at the Neurosurgical Department of the University Hospital of Bochum, Germany. We retrospectively analyzed data sets of 221 adult patients who underwent computed tomography (CT) of the skull (n = 167) and magnetic resonance imaging (MRI) of the brain (n = 54). A total of 142 patients with their respective imaging scans remained in our pool of interest after excluding 79 scans. The raw digital imaging and communications in medicine scans were transformed into 3D objects. Spatial analyses were then conducted, and all collected data were used to create our own 3D model of the temporal bone. RESULTS: We define the temporal bone as a prism-shaped model and divide it into 6 compartments: apex, neurovascular, mastoid, blank, tympanic, and temporomandibular compartments. The division into compartments has been achieved with the "Rule of 3-2-1." Finally, the 3D model has been used to record a video (Video), using a novel and "easy-to-follow" didactic approach. CONCLUSION: This simplified 3D model along with the corresponding video (Video) potentially enhances the efficiency of studying temporal none anatomy with a novel "easy-to-follow" approach.


Subject(s)
Temporal Bone , Tomography, X-Ray Computed , Adult , Humans , Magnetic Resonance Imaging , Mastoid , Retrospective Studies , Temporal Bone/anatomy & histology
2.
Neurosurgery ; 88(4): E323-E329, 2021 03 15.
Article in English | MEDLINE | ID: mdl-33432978

ABSTRACT

BACKGROUND: The importance of the O6-methylguanine-DNA methyltransferase (MGMT) promoter methylation status as a predictive factor for the response to chemotherapy with temozolomide is well established. Its significance though at stratifying glioblastoma (GBM) patients in regard to their prognostic factors and the impact of surgical approach on them has not been identified. OBJECTIVE: To reveal possible differences in the prognostic factors and the impact of surgery between GBM patients stratified according to their MGMT status. METHODS: The authors retrospectively analyzed 186 patients with a newly diagnosed primary supratentorial GBM treated with surgical resection followed by standard radiation and chemotherapy. A prospective quantitative volumetric analysis of tumor characteristics identified on magnetic resonance imaging was performed. RESULTS: For the 109 patients with unmethylated MGMT promoter, extent of resection (EOR) represented independent predictor of survival, whereas residual tumor volume (RTV), Karnofsky Performance Score, and age were found to be independent prognostic factors of survival for the 77 patients with methylated MGMT promoter. For the group of patients with unmethylated and the group with methylated MGMT promoter, an EOR threshold of 70% and 98% and an RTV threshold of 1.5 and 1 cm3 were identified, respectively. CONCLUSION: The selection of patients according to the MGMT promoter methylation status resulted in different prognostic factors and different resection thresholds for each patient population. A survival benefit seen from 70% EOR threshold in patients with MGMT unmethylated GBM supports the doctrine of maximum safe resection rather than the "all-or-nothing" approach.


Subject(s)
Brain Neoplasms/genetics , Brain Neoplasms/surgery , DNA Modification Methylases/genetics , DNA Repair Enzymes/genetics , Glioblastoma/genetics , Glioblastoma/surgery , Tumor Suppressor Proteins/genetics , Adult , Aged , Brain Neoplasms/diagnostic imaging , DNA Methylation , Female , Glioblastoma/diagnostic imaging , Humans , Male , Middle Aged , Prognosis , Promoter Regions, Genetic/genetics , Prospective Studies , Retrospective Studies
3.
World Neurosurg ; 135: e50-e70, 2020 Mar.
Article in English | MEDLINE | ID: mdl-31678451

ABSTRACT

BACKGROUND: The diagnosis and treatment of diseases at and around the sphenoid bone demands throughout understanding of its anatomy in 3-dimensional (3-D) space. However, despite the complex anatomic nature of the sphenoid bone, the current educational resources for its 3-D anatomy are insufficient for fast and long-term retention of the anatomic relationships. OBJECTIVE: To provide a simplified 3-D model of the sphenoid bone that anyone can easily learn and recall as an internal mental model. METHODS: Various studies on the anatomy of the sphenoid bone were analyzed. The collected data included the shape, foramina, canals, fissures, and minute details of the sphenoid bone. The gained detailed knowledge was subsequently used to create a 3-D model of the sphenoid bone with the help of 3-D computer software. A live lecture was given with this same software and simultaneously recorded with a microphone and a computer-screen recorder. A novel approach in lecturing, building the sphenoid bone from the scratch in a piecemeal fashion, was utilized. RESULTS: The sphenoid bone was recreated as an horizontally elongated box without a superior and posterior wall. All its foramina, canals, and fissures are visually easy to follow. Understanding its neuroanatomic terminologies based on their anatomic nature and relationships is enhanced. CONCLUSIONS: This simplified 3-D model, along with the video lecture, will enhance the efficiency of studying sphenoid bone anatomy. The educational resources of this study can be obtained by medical students, radiologists, neurologists, neurosurgeons, neuroscientists, or anyone else seeking for fundamental understanding of sphenoid bone anatomy.


Subject(s)
Imaging, Three-Dimensional , Neuroanatomy , Sphenoid Bone/anatomy & histology , Teaching , Humans , Learning , Models, Anatomic , Neuroanatomy/education , Software , Students, Medical , Tomography, X-Ray Computed/methods
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