Brain CT Research Articles

Criteria for neurosurgical treatment of children and adolescents with traumatic brain injury in a Brazilian level 1 trauma center.

Considering Glasgow Coma Scale (GCS) scores and brain CT scans in a group of children and adolescents with traumatic brain injury (TBI), the scope of this study was to identify the criteria established for the indication of emergency neurosurgical treatment in a level 1 trauma center. This was a cross-sectional study with consecutive review of medical records of children and adolescents < 17 years with TBI who were hospitalized and underwent neurosurgical treatment between January 2016 and December 2023. Two groups were formed for analysis: patients with GCS scores ≤ 8 versus patients with GCS scores > 8. Based on the GCS score and brain CT scan of each patient, the authors investigated the criteria established for the surgical indications in this group. In the period considered for the study, 376 children and adolescents with TBI were hospitalized and 31% required neurosurgical treatment. The median age was 5 years (interquartile range 1-11 years) and there was a predominance of males (68%). Home accidents predominated in 77% of children < 5 years of age, whereas road accidents predominated among those older than 5 (47%). Diffuse brain lesions on CT scans predominated in patients with GCS scores ≤ 8 when compared to the group with GCS scores > 8 (89% vs 19%; p < 0.0001). Regarding neurosurgical access, decompressive craniectomies (70%) and invasive intracranial pressure monitoring (44%) prevailed among patients with GCS scores ≤ 8, whereas craniotomies for drainage of intracranial hematomas (70%) and surgical correction of depressed skull fracture (21%) prevailed among those with GCS scores > 8. Based on the GCS scores and CT scans, the authors were able to define the criteria used for neurosurgical indications in a Brazilian level 1 trauma center. They found a high prevalence of decompressive craniectomy in patients with severe TBI in their department due to the irregular supply of disposable catheters necessary for intracranial pressure monitoring.

Co-Occurrence Relationship Driven Hierarchical Attention Network for Brain CT Report Generation

Co-Occurrence Relationship Driven Hierarchical Attention Network for Brain CT Report Generation

328 - Evaluation of the usefulness of the MV3D RECON technique with Bone Removal in CT Brain Angiography

328 - Evaluation of the usefulness of the MV3D RECON technique with Bone Removal in CT Brain Angiography

Un caso de exoftalmos progresivo en una niña de 5 años

Introduction: spindle cell sarcoma is a rare tumor, with little presentation in the literature. Soft tissue tumors constitute a heterogeneous group, requiring a multidisciplinary approach. Clinical case: 5-year-old schoolboy who goes to his pediatrician for exophthalmos. His mother refers a progressive proptosis in the left eye of 6 months of evolution. No loss of visual acuity, in the last weeks intermittent pain with eye movements. On examination proptosis of the left eye with intermittent tearing and vascular lesion in the temporal portion of the same eye, he presented restriction of left eye movements. He was referred to the hospital emergency department where a head CT scan (Figure 1,2) was performed, revealing a unilateral left retroorbital lesion measuring 28 x 14 mm, causing proptosis, mass effect on retroocular structures and loss of ocular sphericity. Given the findings in the imaging tests, it was decided surgical intervention by means of frontotemporal craniotomy, subsequently receiving complementary treatment with local radiotherapy. Due to negative molecular pathology studies, the result was finally interpreted as undifferentiated 'adult-type' spindle cell sarcoma. Conclusion: although undifferentiated spindle cell sarcoma is a rare pathology, it should be included in the differential diagnosis of retro-orbital pathologies. The objective of this case is to review the main characteristics of spindle cell sarcoma, given its rapid and aggressive form of presentation, in a rare tumor.

An Audit Of Post Fall Medical Reviews In Older Hospital Inpatients

Abstract Background After an older person falls in hospital, the post-fall medical review is critical to assess injury and to put a plan in place to prevent further falls. We performed an audit to assess the post fall medical review and management of patients ≥65 years in a large university teaching hospital compared to national standard “Service User Falls: A Practical Guide for Review” and NICE Guidelines. Methods In a consecutive cohort of patients with falls, the post-fall medical review note was examined for crucial details from the history (mechanism, head/hip strike, loss of consciousness, pain) and examination (confusion, vital signs, joint assessment). In addition, we audited if there was an indication for CT Brain and compared to NICE criteria. Results 49 post fall medical review notes were audited (Mean age 79 years, range 66-96). 27% of patients who fell had a CT Brain. 6% (3/49) of patients who fell met NICE criteria for CT Brain, but it was not performed. Conclusion A significant proportion of post fall medical reviews omit important details that could help diagnostically and to inform a plan to prevent further falls. There is limited guidance for clinicians as to when to order a CT Brain for inpatient falls. We plan to introduce a post fall medical review pro forma/checklist and to standardise a CT Brain decision tool. We will then re-audit post introduction of these to assess for quality improvement.

An Evaluation of The Older Persons Presentation To The Emergency Department (ED) Following A Fall/Syncope/Presyncope

Abstract Background Falls events are a leading reason for presentations to the ED, particularly in older adults. Often these events are unwitnessed and unexplained. Therefore, there is strong consensus that the management of unexplained falls should be evaluated in a similar fashion to syncope as outlined by the World Falls and European Society of Cardiology guidelines. Methods The aim of this study was to evaluate adherence with current falls/syncope guidelines. Consecutive patients over the age of 75 who presented with a fall or syncope to a university teaching hospital in October 2023 were included. Data was collected on diagnostics completed (ECG, CT Brain, Carotid Doppler Ultrasound, EEG, pro BNP, Troponin, Echocardiogram, and External loop recorder), whether specialist falls review was performed, and readmission within 6 months. Completion of diagnostic tests were compared between those who were and were not reviewed by a specialist service using the Chi squared test. Results Falls/syncope/presyncope comprised 17.5% (160/913) of presentations of older people to the ED. Overall, 43% (n=68) had an ECG completed, 15% (n=23) had a pro BNP, and 24% (n=38) had a troponin level measured, 11% (n=17) had an Echo performed, and 10% (n=16) had prolonged cardiac monitoring (R test), 47% (n=74) had a CT Brain performed. Among those who were reviewed by a specialist falls service, (39% n= 62) completion of recommended investigations was significantly higher; ECG (69% v 26%, p&amp;lt;0.01), pro BNP (24% v 8.3%, p&amp;lt;0.01), echocardiogram (21% v 4.2%, p&amp;lt;0.01), cardiac monitoring (18% v 5.2%, p&amp;lt;0.01). Conclusion Falls and syncope are common presentations to the ED among older adults. Patients who were seen by a specialist falls team were more likely to have the appropriate diagnostics complete. Therefore, a specialist falls/syncope pathway led by a specialist falls service in the ED could result in better outcomes for patients.

Time of Brain Imaging In Patients With An Acute Traumatic Intracranial Haemorrhage

Abstract Background We observed variation in timing of CT brain imaging in patients presenting with a history of trauma. The objective of this audit was to determine adherence to local ED CT Head Criteria in patients with a confirmed traumatic ICH. Methods Retrospective point prevalence audit of patients with a confirmed intracranial haemorrhage over a five-month period using our neurotrauma work-stream data. Exploration of CT timing between Criteria A (within 60 minutes) and Criteria B (within 8 hours). Characteristics reviewed included Gender, Age, Time of presentation to ED, Day of Arrival, GCS on presentation, Mechanism of Injury and Time of CT completion. Results 68 patients over the five-month period had a confirmed ICH: 48 male, 20 female. The median age was 62 years (range 17-97). Falls of less than 2 metres were the most frequent cause of injury (n=44, 65%), with 60% of these occurring in patients aged over 65 years of age. 67% (n=31) of patients meeting Criteria A did not have a CT Brain completed within 60 minutes. 14% (n=3) of patients meeting Criteria B did not have a CT Brain completed within 8 hours. Of patients meeting criteria who did not have a timely CT, 11 patients presented out of hours. Patients aged less than 65 years of age were less likely to meet target CT timing; 71% (n=24). Conclusion This audit highlights that only 33% of patients meeting Criteria A had brain imaging within one hour. Older adults were more likely to meet target CT timing than younger adults. Lack of ED access to radiology out of hours was deemed to be the main barrier to meeting target CT timing. We are working alongside our radiology department to secure no discussion trauma CT scans in ED out of hours. We plan to re-audit following the implementation of this change.

Factors influencing hematoma expansion in delayed brain CT scans of patients with traumatic Epidural Hematoma.

Epidural hematoma (EDH) is a type of intracranial hematoma commonly observed in trauma patients. This research aims to evaluate the factors contributing to the expansion of traumatic epidural hematoma (EDH). This retrospective cohort study examined traumatic patients with EDH admitted to Taleqani Hospital, a prominent Western Trauma Center in Iran, from 2018 to 2023. Patients underwent an initial CT scan, and non-surgical patients received a delayed CT scan approximately 5 hours after the initial scan. Data analysis was performed using SPSS version 25 software. The study included 274 brain trauma patients with epidural hematoma. Among these patients, 142 (51.8%) did not undergo surgery, and 121 (85.2%) of the non-surgical patients were male. Motor vehicle accidents (MVAs) were the primary cause of EDH in 127 (46.4%) patients. The mean (±standard deviation) initial hematoma size was 8.86 (±9.71), and the mean (±standard deviation) delayed CT scan size was 8.12 (±8.10). In crude linear regression Two variables, namely Hematoma volume in the initial CT scan (P less than 0.001) and Mixed Density (P=0.007), were found to significantly impact the increase in hematoma size in delayed CT scans of non-surgical patients. But in the adjusted linear regression model, only the Hematoma volume in primary CT scan, was significant (P less 0.001). The R Square values were 0.72. The identification of key variables influencing hematoma volume in delayed CT scans has the potential to guide more effective interventions, thereby improving patient outcomes and reducing trauma-related mortality.

Symptomatic Cerebellar Thrombosed Developmental Venous Anomaly: A Case Report

Abstract Background With the rising prevalence of advanced neuroradiological imaging, detection of incidental developmental venous anomalies (DVAs) is more commonplace. DVAs are rarely symptomatic (&amp;lt;2%). Typically, symptoms arise due to flow-related complications or mechanical effects. Of particular concern is venous thrombosis, a frequent flow-related complication, which can cause venous ischemia or haemorrhage. Thus, early recognition and intervention is important. Methods We describe a case of a 54-year-old male, with background of hypertension, presenting three days after sudden onset headache, ataxia, and diplopia. Initial clinical examination revealed bidirectional horizontal gaze-evoked nystagmus, skew deviation, and decreased temperature sensation of the left face. Ophthalmological examination identified left inferior rectus limitation. Results Initial non-contrast CT brain identified hypoattenuation in the right pons, suggestive of sub-acute infarction. Secondary prevention was initiated. Subsequent MRI performed 5 days later revealed hyperattenuation on T2 and FLAIR in the pons, right middle cerebellar peduncle, and right cerebellar hemisphere without restricted diffusion. SWI sequences identified an abnormal venous structure in the right cerebellum, with increased signal within it, suggestive of thrombus. The patient was diagnosed with a thrombosed DVA with associated venous oedema. Symptoms had resolved on dual antiplatelet therapy, without anticoagulation. Conclusion This case highlights the potential for DVAs, generally considered a benign entity, to become symptomatic with associated parenchymal damage and a rare, but important, stroke mimic. Moreover, it underscores the pivotal role of MRI imaging; while a CT scan might have led to the assumption of a subacute infarct, MR imaging led to a complete re-evaluation of the diagnosis in this case.

Unusual Presentation of Confusion: Hyperammonaemic Hepatic Encephalopathy Due To Intrahepatic Portosystemic Venous Shunt In An Older Patient

Abstract Background Delirium is an acute, usually reversible neuropsychiatric syndrome and often presents as confusion, especially in the older population. Early detection and management of causes is vital to reduce mortality, morbidity, and long-term cognitive status decline. Intrahepatic portosystemic venous shunts are rare vascular malformations. These malformations can be congenital or acquired and may manifest as heart failure, hepatic encephalopathy, or pulmonary hypertension. Methods A 75-year-old man presented to the emergency department with a 5-week history of confusion, daytime somnolence, and fatigue. His physical examination was unremarkable. His symptoms were initially thought to be due to sub-optimally controlled Obstructive Sleep Apnoea. Nevertheless, his confusion progressed further during admission and required admission to the intensive care unit and intubation. Investigations initially showed deranged Liver function tests. Extensive investigations were done, including CT brain, MRI brain, septic screen, Arterial blood gas, and Lumbar puncture, which were all inconclusive. An Electroencephalogram was suggestive of Encephalopathy. His Ammonia level was high (123). Further investigations, Triphasic CT liver, revealed Intrahepatic portosystemic venous shunt and was diagnosed with hyperammonaemic hepatic encephalopathy due to Intrahepatic portosystemic venous shunt. Results Management included the commencement of lactulose, rifaximin, and L-ornithine L-aspartate (LOLA). An IR-guided embolisation of the porto-venous shunt was performed. At two-months review, the patient reported no further episodes of confusion. Conclusion Intrahepatic portosystemic venous shunts should be considered in the differential diagnosis of patients presenting with confusion or other unexplained neurological symptoms, especially in the presence of liver dysfunction. Early diagnosis and appropriate management are crucial for favourable outcomes.

Impact of a deep learning-based brain CT interpretation algorithm on clinical decision-making for intracranial hemorrhage in the emergency department

Intracranial hemorrhage is a critical emergency that requires prompt and accurate diagnosis in the emergency department (ED). Deep learning technology can assist in interpreting non-enhanced brain CT scans, but its real-world impact on clinical decision-making is uncertain. This study assessed a deep learning-based intracranial hemorrhage detection algorithm (DLHD) in a simulated clinical environment with ten emergency medical professionals from a tertiary hospital’s ED. The participants reviewed CT scans with clinical information in two steps: without and with DLHD. Diagnostic performance was measured, including sensitivity, specificity, accuracy, and the area under the receiver operating characteristic curve. Consistency in clinical decision-making was evaluated using the kappa statistic. The results demonstrated that DLHD minimally affected experienced participants’ diagnostic performance and decision-making. In contrast, inexperienced participants exhibited significantly increased sensitivity (59.33–72.67%, p < 0.001) and decreased specificity (65.49–53.73%, p < 0.001) with the algorithm. Clinical decision-making consistency was moderate among inexperienced professionals (k = 0.425) and higher among experienced ones (k = 0.738). Inexperienced participants changed their decisions more frequently, mainly due to the algorithm’s false positives. The study highlights the need for thorough evaluation and careful integration of deep learning tools into clinical workflows, especially for less experienced professionals.

Implementing multiple imputations for addressing missing data in multireader multicase design studies

BackgroundIn computer-aided diagnosis (CAD) studies utilizing multireader multicase (MRMC) designs, missing data might occur when there are instances of misinterpretation or oversight by the reader or problems with measurement techniques. Improper handling of these missing data can lead to bias. However, little research has been conducted on addressing the missing data issue within the MRMC framework.MethodsWe introduced a novel approach that integrates multiple imputation with MRMC analysis (MI-MRMC). An elaborate simulation study was conducted to compare the efficacy of our proposed approach with that of the traditional complete case analysis strategy within the MRMC design. Furthermore, we applied these approaches to a real MRMC design CAD study on aneurysm detection via head and neck CT angiograms to further validate their practicality.ResultsCompared with traditional complete case analysis, the simulation study demonstrated the MI-MRMC approach provides an almost unbiased estimate of diagnostic capability, alongside satisfactory performance in terms of statistical power and the type I error rate within the MRMC framework, even in small sample scenarios. In the real CAD study, the proposed MI-MRMC method further demonstrated strong performance in terms of both point estimates and confidence intervals compared with traditional complete case analysis.ConclusionWithin MRMC design settings, the adoption of an MI-MRMC approach in the face of missing data can facilitate the attainment of unbiased and robust estimates of diagnostic capability.

Identification of Bipolar Disorder and Schizophrenia Based on Brain CT and Deep Learning Methods.

With the increasing prevalence of mental illness, accurate clinical diagnosis of mental illness is crucial. Compared with MRI, CT has the advantages of wide application, low price, short scanning time, and high patient cooperation. This study aims to construct a deep learning (DL) model based on CT images to make identification of bipolar disorder (BD) and schizophrenia (SZ). A total of 506 patients (BD = 227, SZ = 279) and 179 healthy controls (HC) was collected from January 2022 to May 2023 at two hospitals, and divided into an internal training set and an internal validation set according to a ratio of 4:1. An additional 65 patients (BD = 35, SZ = 30) and 40 HC were recruited from different hospitals, and served as an external test set. All subjects accepted the conventional brain CT examination. The DenseMD model for identify BD and SZ using multiple instance learning was developed and compared with other classical DL models. The results showed that DenseMD performed excellently with an accuracy of 0.745 in the internal validation set, whereas the accuracy of the ResNet-18, ResNeXt-50, and DenseNet-121model was 0.672, 0.664, and 0.679, respectively. For the external test set, DenseMD again outperformed other models with an accuracy of 0.724; however, the accuracy of the ResNet-18, ResNeXt-50, and DenseNet-121model was 0.657, 0.638, and 0.676, respectively. Therefore, the potential of DL models for identification of BD and SZ based on brain CT images was established, and identification ability of the DenseMD model was better than other classical DL models.

Primary Pre-Extensively Drug-Resistant (Pre-XDR) Tuberculosis with Meningoencephalitis in Nineteen Years Old Young Woman : A Case Report

Introduction. Mycobacterium tuberculosis (MTB) is continually evolving in order to resist treatment. This has resulted in drug-resistant tuberculosis, which has a greater rate of therapy failure and mortality, as well as the necessity for other ways of disease transmission prevention. Pre-extensively drug-resistant tuberculosis (Pre-XDR TB) is caused by MTB strains that are resistant to isoniazid, rifampicin, and any fluoroquinolone medicines. Case Report. A 19-year-old HIV-negative immunocompetent female presented to our emergency department with dyspnea and severe headache. She also complained of a cough, a low-grade temperature, and weight loss. She has no relevant medical history and has never been exposed to tuberculosis. A chest X-ray revealed infiltrates with cavities and fibrosis in both lungs, while a brain CT suggested meningoencephalitis. We performed a sputum drug sensitivity test and discovered that this patient was resistant to rifampin, isoniazid, levofloxacin, and moxifloxacin. She was later diagnosed with Pre-XDR TB and was given a tailored lengthier regimen that included Bedaquiline, Cycloserin, Linezolide, Clofazimine, and Etambutol. Her symptoms improved significantly as a result of this program. Discussion. Primary pre-XDR TB in an immunocompetent patient is uncommon, and our case is even more unusual due to meningoencephalitis involvement. The treatment of pre-XDR TB requires a personalized regimen that is tailored to the patient's clinical status and comorbidities. The possibility of transmission via a positive contact was raised in this patient, prompting us to conduct a more thorough contact inquiry to prevent future spread. Conclusion. In our region, there is a risk of'silent' drug resistant tuberculosis. Early detection and treatment of such patients are critical to preventing uncontrollable pan-resistant TB. Successful management with cautious contact investigation will minimize the mortality rate and spread rate of drug-resistant TB. Keywords. Drug-Resistant Lung Tuberculosis, Drug-Resistant Meningoencephalitis Tuberculosis

Management of neonatal head injuries: A retrospective cohort study

AbstractAimThe aim of this study is to describe circumstances, management and short‐term outcomes of neonatal head trauma, and adherence to the Paediatric Emergency Care Applied Research Network (PECARN) head trauma prediction rule for children under 2 years.MethodsMulticentre retrospective cohort study of neonates (&lt;29 days) with head trauma across 25 emergency departments (ED) from January 2017 to June 2021.ResultsA total of 492 neonates (median age 17 days, range 0–28 days) with non‐trivial head trauma were enrolled. Falls were the most common injury mechanism (375/492, 76.2%). Imaging was performed in 150/492 (30.5%) neonates.Clinically important traumatic brain injury (ciTBI), defined as death, neurosurgery, prolonged intubation, or extended hospitalisation from injury, occurred in 7/492 (1.4%) cases. Notably, 286/492 (58.1%) neonates were managed by short‐term observation (&lt;48 h), and 126/492 (25.6%) were admitted.Among high‐risk neonates per PECARN criteria, 17/21 (80.9%) did not undergo recommended head CT scans but were observed within ED short observation units or underwent alternative imaging, with no ciTBI diagnoses among those discharged without CT.ConclusionSevere neonatal head injuries are rare, and most neonatal head injuries have a favourable outcome, making observation a suitable approach, while remaining vigilant for signs of non‐accidental injuries.

Deep Learning-Based Fine-Tuning Approach of Coarse Registration for Ear-Nose-Throat (ENT) Surgical Navigation Systems.

Accurate registration between medical images and patient anatomy is crucial for surgical navigation systems in minimally invasive surgeries. This study introduces a novel deep learning-based refinement step to enhance the accuracy of surface registration without disrupting established workflows. The proposed method integrates a machine learning model between conventional coarse registration and ICP fine registration. A deep-learning model was trained using simulated anatomical landmarks with introduced localization errors. The model architecture features global feature-based learning, an iterative prediction structure, and independent processing of rotational and translational components. Validation with silicon-masked head phantoms and CT imaging compared the proposed method to both conventional registration and a recent deep-learning approach. The results demonstrated significant improvements in target registration error (TRE) across different facial regions and depths. The average TRE for the proposed method (1.58 ± 0.52 mm) was significantly lower than that of the conventional (2.37 ± 1.14 mm) and previous deep-learning (2.29 ± 0.95 mm) approaches (p < 0.01). The method showed a consistent performance across various facial regions and enhanced registration accuracy for deeper areas. This advancement could significantly enhance precision and safety in minimally invasive surgical procedures.

A Review on Stroke’s Pathophysiology, Associated Risk Factors, and Management

Background: Stroke is a medical disorder defined by focal neurological deficits caused by vascular impairment (hemorrhage or infarction) in the CNS (Central Nervous System). Currently the second biggest cause of morbidity worldwide, strokes continue to be a deadly disease. Objective: This review aimed to elucidate the stroke’s pathophysiology, both changeable and unchangeable risk factors associated with stroke, including prevention of stroke, its diagnosis, as well as treatment. Methods: The articles were collected involving the research on stroke with the help of different sources, like PubMed, Science Direct, and Google. Many manuscripts were collected and analyzed, and the relevant ones were considered for the present manuscript. Results: A brain CT scan has been found to be the first step in the management of Cerebrovascular Accident (CVA) in order to distinguish between ischemic and hemorrhagic stroke types. Beyond stroke classification, imaging has been observed to serve as a powerful tool for ruling out alternative diagnoses, predicting stroke outcomes, and facilitating appropriate treatment planning. Conclusion: Stroke is the second foremost cause of death as well as disability worldwide, leading to substantial economic losses. Therefore, better treatment and improved management after stroke are a global health priority. Modifying risk factors can decrease the chances of occurrence of stroke. Also, correct diagnosis should be done to diagnose the presence of stroke and its type. Proper treatment should be provided, like perfusion, glucose management, antiplatelet therapy, antihypertensive therapy, stem cell therapy, neural response and rehabilitation, increased awareness, lifestyle changes, stress management, etc. Exercise can also help positively to reduce the chances of stroke.

Benefits of Brain Dual-Energy CT Imaging in Detecting Intracranial Hemorrhage in Non-Contrast Brain CT Scans

Benefits of Brain Dual-Energy CT Imaging in Detecting Intracranial Hemorrhage in Non-Contrast Brain CT Scans

A Study of Skeletal Survey Disparity in Pediatric Head Injury in the Emergency Department.

The objective of this study was to evaluate disparities in skeletal survey (SS) use for pediatric. head injury patients in the emergency department (ED). This was a multi-site retrospective. cohort study of children <24months with concern for head injury and injury on head CT from. 7/1/12 - 1/1/22. We determined adjusted associations between SS completion and race, ethnicity, language for care, insurance type, and income, with sub-analysis of children <6months and with complex injury. We evaluated occult fracture prevalence. Two-hundred seventy children met criteria and 88 had SS. No statistical association was found between skeletal survey completion and race or ethnicity, language for care, private insurance, median census tract income, or in sub-analyses. Two of 88 (2.3%) patients had occult fracture; both had risk factors for NAT. In conclusion, no statistical association was found between SS completion and demographics. Occult fracture was uncommon. SS use can likely be decreased in lower risk patients.

Global traumatic brain injury intracranial pressure: from monitoring to surgical decision.

Traumatic brain injury (TBI) is a significant global public health issue, heavily impacting human health, especially in low-and middle-income areas. Despite numerous guidelines and consensus statements, TBI fatality rates remain high. The pathogenesis of severe TBI is closely linked to rising intracranial pressure (ICP). Elevated intracranial pressure can lead to cerebral herniation, resulting in respiratory and circulatory collapse, and ultimately, death. Managing intracranial pressure (ICP) is crucial in neuro-intensive care. Timely diagnosis and precise treatment of elevated ICP are essential. ICP monitoring provides real-time insights into a patient's condition, offering invaluable guidance for comprehensive management. ICP monitoring and standardization can effectively reduce secondary nerve damage, lowering morbidity and mortality rates. Accurately assessing and using true ICP values to manage TBI patients still depends on doctors' clinical experience. This review discusses: (a) Epidemiological disparities of traumatic brain injuries across countries with different income levels worldwide; (b) The significance and function of ICP monitoring; (c) Current status and challenges of ICP monitoring; (d) The impact of decompressive craniectomy on reducing intracranial pressure; and (e) Management of TBI in diverse income countries. We suggest a thorough evaluation of ICP monitoring, head CT findings, and GCS scores before deciding on decompressive craniectomy. Personalized treatment should be emphasized to assess the need for surgical decompression in TBI patients, offering crucial insights for clinical decision-making.