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Purpose@#Breast cancer brain metastases (BCBM) may involve subtypes that differ from the primary breast cancer lesion. This study aimed to develop a radiomics-based model that utilizes preoperative brain MRI for multiclass classification of BCBM subtypes and to investigate whether the model offers better prediction accuracy than the assumption that primary lesions and their BCBMs would be of the same subtype (non-conversion model) in an external validation set. @*Materials and Methods@#The training and external validation sets each comprised 51 cases (102 cases total). Four machine learning classifiers combined with three feature selection methods were trained on radiomic features and primary lesion subtypes for prediction of the following four subtypes: 1) hormone receptor (HR)+/human epidermal growth factor receptor 2 (HER2)-, 2) HR+/HER2+, 3) HR-/HER2+, and 4) triple-negative. After training, the performance of the radiomics-based model was compared to that of the non-conversion model in an external validation set using accuracy and F1-macro scores. @*Results@#The rate of discrepant subtypes between primary lesions and their respective BCBMs were 25.5% (n=13 of 51) in the training set and 23.5% (n=12 of 51) in the external validation set. In the external validation set, the accuracy and F1-macro score of the radiomics-based model were significantly higher than those of the non-conversion model (0.902 vs. 0.765, p=0.004; 0.861 vs. 0.699, p=0.002). @*Conclusion@#Our radiomics-based model represents an incremental advance in the classification of BCBM subtypes, thereby facilitating a more appropriate personalized therapy.
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We present a case of delayed migration of an open-cell design carotid stent, which is a rare complication following carotid artery stenting (CAS). A 65-year-old patient with carotid artery stenosis underwent CAS with an open-cell stent, initially achieving successful deployment. However, 4 months later, the stent migrated and resulted in restenosis. The patient underwent balloon angioplasty and received an additional stent, leading to improved blood flow. The rarity of stent migration, particularly in the absence of risk factors, highlights the need for clinicians to be vigilant and consider early imaging follow-up for patients at risk of this complication after CAS.
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Purpose@#While symptomatic basilar artery (BA) stenosis is associated with a higher risk of recurrent stroke or death, there is no consensus on the management of these patients who are refractory to antiplatelet therapy. This study retrospectively assesses the outcomes of endovascular treatment (EVT) for symptomatic BA stenosis. @*Materials and Methods@#We conducted a retrospective review of patients with symptomatic BA stenosis who underwent EVT, including angioplasty or stenting, from 2006 to 2018. A total of 15 patients, who experienced transient ischemic attacks or strokes despite dual antiplatelet therapy, were included. EVT was performed under local anesthesia after pretreatment with antiplatelet medications. Angiographic follow-up was performed at 12 and 24 months post-EVT. Clinical outcomes were evaluated using the modified Rankin Scale (mRS). @*Results@#EVT was successfully completed in all patients. Peri/post-procedural complications occurred in 33% of cases, including in-stent thrombosis, intracranial hemorrhage, and pontine infarction. At long-term follow-up (mean 98.5±80.5 months), 73.3% of patients achieved a favorable functional outcome (mRS≤2) without disability or mortality. Patients with unfavorable outcomes had previous infarcts, with 2 experiencing new pontine infarctions after stenting. @*Conclusion@#This study suggests that EVT, including angioplasty and stenting, may offer promise as a treatment option for symptomatic BA stenosis refractory to medical therapy. However, the procedure carries a notable risk of complications, especially in patients with severe stenosis and previous infarcts. Careful patient selection, based on clinical and radiological criteria, is crucial.
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Dysphagia is a common problem in children with a tracheostomy tube. Such children are at risk of malnutrition, developmental problems, increased medical complications, and pose an increased burden on their caregivers. Therefore, proper evaluation and dysphagia rehabilitation are necessary for children with a tracheostomy tube.Also, as many such children experience serious complications, it is necessary to consider decannulation as early as possible, soon after the indication for tracheostomy placement is resolved. Decannulation should be performed safely as per the appropriate protocol.
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Sarcopenic dysphagia is a complication of coronavirus disease 2019 (COVID-19). This report describes the approach to rehabilitation in a 65-year-old man with sarcopenic dysphagia who contracted severe COVID-19 and underwent awake venovenous extracorporeal membrane oxygenation (vv-ECMO). He started active rehabilitation while receiving vv-ECMO and underwent a course of comprehensive inpatient rehabilitation lasting 115 days. The sarcopenic dysphagia improved, and he regained physical functional independence without any complications at hospital discharge.
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Cerebral amyloid angiopathy-related inflammation (CAA-RI) is a rare encephalopathy characterized by the coexistence of a perivascular inflammatory reaction in patients with cerebral amyloid angiopathy. CAA-RI diagnosis is challenging as its final diagnosis requires invasive procedures such as autopsy or brain biopsy. Therefore, multimodal imaging approaches with clinical considerations are essential for the probable diagnosis of CAA-RI. In particular, in the case of CAA-RI presented with uncommon clinical symptoms, the need for imaging in diagnosis is further highlighted by difficulties of clinical approaches. Herein, we report a case of CAA-RI with unusual clinical manifestation diagnosed using multimodal imaging including magnetic resonance imaging (MRI) and amyloid positron emission tomography-computed tomography (PET-CT). Multimodal imaging approaches using adequate MRI sequences and PET-CT scans could facilitate the diagnosis of CAA-RI without requiring invasive pathological confirmation.
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The integration of artificial intelligence (AI) into medical imaging has notably expanded its significance within urology. AI applications offer a broad spectrum of utilities in this domain, ranging from precise diagnosis achieved through image segmentation and anomaly detection to improved procedural assistance in biopsies and surgical interventions. Although challenges persist concerning data security, transparency, and integration into existing clinical workflows, extensive research has been conducted on AI-assisted imaging technologies while recognizing their potential to reshape urological practices. This review paper outlines current AI techniques employed for image analysis to offer an overview of the latest technological trends and applications in the field of urology.
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Objective@#To examine (1) the location of brain lesion that would predict post-traumatic delirium and (2) the association between volume of brain lesion and occurrence of delirium in patients with traumatic brain injury (TBI). @*Methods@#A retrospective study was conducted by reviewing medical records of 68 TBI patients, categorized into two groups: the delirious group (n=38) and non-delirious group (n=30). The location and volume of TBI were investigated with the 3D Slicer software. @*Results@#The TBI region in the delirious group mainly involved the frontal or temporal lobe (p=0.038). All 36 delirious patients had brain injury on the right side (p=0.046). The volume of hemorrhage in the delirious group was larger by about 95 mL compared to the non-delirious group, but this difference was not statistically significant (p=0.382). @*Conclusion@#Patients with delirium after TBI had significantly different injury site and side, but not lesion size compared to patients without delirium.
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Objective@#We aimed to evaluate the efficacy of EmboTrap II in terms of first-pass recanalization and to determine whether it could yield favorable outcomes. @*Materials and Methods@#In this multicenter, prospective study, we consecutively enrolled patients who underwent mechanical thrombectomy using EmboTrap II as a front-line device. The primary outcome was the first pass effect (FPE) rate defined by modified Thrombolysis In Cerebral Infarction (mTICI) grade 2c or 3 by the first pass of EmboTrap II. In addition, modified FPE (mFPE; mTICI grade 2b–3 by the first pass of EmboTrap II), successful recanalization (final mTICI grade 2b–3), and clinical outcomes were assessed. We also analyzed the effect of FPE on a modified Rankin Scale (mRS) score of 0–2 at 3 months. @*Results@#Two hundred-ten patients (mean age ± standard deviation, 73.3 ± 11.4 years; male, 55.7%) were included. Ninetynine patients (47.1%) had FPE, and mFPE was achieved in 150 (71.4%) patients. Successful recanalization was achieved in 191 (91.0%) patients. Among them, 164 (85.9%) patients underwent successful recanalization by exclusively using EmboTrap II. The time from groin puncture to FPE was 25.0 minutes (interquartile range, 17.0–35.0 minutes). Procedure-related complications were observed in seven (3.3%) patients. Symptomatic intracranial hemorrhage developed in 14 (6.7%) patients. One hundred twenty-three (58.9% of 209 completely followed) patients had an mRS score of 0–2. Sixteen (7.7% of 209) patients died during the follow-up period. Patients who had successful recanalization with FPE were four times more likely to have an mRS score of 0–2 than those who had successful recanalization without FPE (adjusted odds ratio, 4.13;95% confidence interval, 1.59–10.8; p = 0.004). @*Conclusion@#Mechanical thrombectomy using the front-line EmboTrap II is effective and safe. In particular, FPE rates were high. Achieving FPE was important for an mRS score of 0–2, even in patients with successful recanalization.
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Purpose@#To investigate the factors predicting successful selective laser trabeculoplasty (SLT) to prevent glaucoma progression to surgery in patients whose intraocular pressure (IOP) is not controlled with medications. @*Methods@#This retrospective chart review included 102 eyes of 92 glaucoma patients who underwent SLT between 2018 and 2020. Success was defined as the prevention of glaucoma surgery for at least 1 year with an IOP less than 21 mmHg or no progression of retinal nerve fiber layer thinning. Kaplan-Meier survival analysis and the Cox proportional hazard model were used for the analysis. @*Results@#A low pretreatment IOP, good visual acuity, and a smaller visual field defect were significantly correlated with success. When the other eye underwent glaucoma surgery or its SLT treatment failed, the success rate of SLT was lower. As the pretreatment IOP increased by 1 mmHg, the SLT failure rate increased by 1,376 times and when the SLT for the other eye failed, it increased by 19,577 times. When the mean deviation of the visual field increased by 1 decibel (dB), the SLT failure rate decreased by 0.928 times (p < 0.05). @*Conclusions@#SLT is more effective in early glaucoma patients with an IOP lower than 25 mmHg, smaller visual field defect, and good visual acuity to prevent glaucoma progression to surgery.
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Basilar artery (BA) perforator aneurysms are exceedingly rare causes of subarachnoid hemorrhage. Therefore, the natural history and optimal treatment have not been established, and surgical, endovascular, and conservative management have been used. However, there is no consensus on the optimal treatment strategy. Herein, we report the case of a 52-year-old man presenting with a ruptured BA perforator aneurysm. First, we deployed an Enterprise stent from the left P1 segment to the BA because the microcatheter could not enter the aneurysm. Then, we deployed a helical coil on the orifice of the BA perforator. Finally, we deployed another Enterprise stent, sandwiching the helical coil between the two Enterprise stents. The aneurysm was completely obliterated without recurrence on the follow-up angiography. Our technique of sandwiching the small helical coil between two Enterprise stents might help other surgeons by offering another feasible treatment option for ruptured BA perforator aneurysms.
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Purpose@#To analyze trends in mortality rates from hemorrhagic stroke (HS) according to HS subtypes, using nationwide data from January 2012 to December 2020. @*Materials and Methods@#We used data from the National Health Claims Database provided by the National Health Insurance Service for 2012–2020 using the International Classification of Disease. The age-adjusted mortality rates of HS, which included subarachnoid hemorrhage (SAH) and intracerebral hemorrhage (ICH), were calculated, and additional analyses were conducted according to age and sex. @*Results@#The age-adjusted mortality rates for HS, SAH, and ICH decreased substantially in both sexes between 2012 and 2020. During the study period, mortality rates for HS decreased from 8.87 deaths per 100,000 inhabitants to 6.27 deaths per 100,000 inhabitants. Regarding SAH, mortality rates decreased from 3.72 deaths per 100,000 inhabitants to 2.57 deaths per 100,000 inhabitants. Concerning ICH, mortality rates decreased from 6.91 deaths per 100,000 inhabitants to 4.75 deaths per 100,000 inhabitants. The average annual percentage change for HS, SAH, and ICH was –0.04, –0.04, and –0.05, respectively. Mortality rates from HS, SAH, and ICH in both sexes decreased from 2012 to 2020 in all age groups. @*Conclusion@#In Korea, the age-adjusted mortality rate of HS, SAH, and ICH demonstrated a declining trend in both sexes and across all age groups. These results may aid in the design and improvement of preventive strategies.
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Objective@#To evaluate the completeness of the reporting of systematic reviews and meta-analyses published in a general radiology journal using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) 2020 guidelines. @*Materials and Methods@#Twenty-four articles (systematic review and meta-analysis, n = 18; systematic review only, n = 6) published between August 2009 and September 2021 in the Korean Journal of Radiology were analyzed. Completeness of the reporting of main texts and abstracts were evaluated using the PRISMA 2020 statement. For each item in the statement, the proportion of studies that met the guidelines’ recommendation was calculated and items that were satisfied by fewer than 80% of the studies were identified. The review process was conducted by two independent reviewers. @*Results@#Of the 42 items (including sub-items) in the PRISMA 2020 statement for main text, 24 were satisfied by fewer than 80% of the included articles. The 24 items were grouped into eight domains: 1) assessment of the eligibility of potential articles, 2) assessment of the risk of bias, 3) synthesis of results, 4) additional analysis of study heterogeneity, 5) assessment of non-reporting bias, 6) assessment of the certainty of evidence, 7) provision of limitations of the study, and 8) additional information, such as protocol registration. Of the 12 items in the abstract checklists, eight were incorporated in fewer than 80% of the included publications. @*Conclusion@#Several items included in the PRISMA 2020 checklist were overlooked in systematic review and meta-analysis articles published in the Korean Journal of Radiology. Based on these results, we suggest a double-check list for improving the quality of systematic reviews and meta-analyses. Authors and reviewers should familiarize themselves with the PRISMA 2020 statement and check whether the recommended items are fully satisfied prior to publication.
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and reliable assessment and precise detection are important for the early diagnosis of neurodegenerative diseases. Artificial intelligence (AI) using brain MRI applied to the study of neurodegenerative diseases could promote early diagnosis and optimal decisions for treatment plans. MRI-based AI software have been developed and studied worldwide. Representatively, there are MRI-based volumetry and segmentation software. In this review, we present the development process of brain volumetry analysis software in neurodegenerative diseases, currently used and developed AI software for neurodegenerative disease in the Republic of Korea, probable uses of AI in the future, and AI software limitations.
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In aging societies, incidences of neurodegenerative diseases such as Alzheimer’s disease and Parkinson’s disease are increasing. Neurodegenerative diseases are bringing main challenges to the healthcare system in today’s world. Analyzing characteristic imaging patterns of patients with neurodegenerative diseases is important. Since objective and reliable imaging assessments and precise analyses can lead to early diagnosis of neurodegenerative diseases, imaging patterns are being increasingly investigated. Artificial intelligence (AI) analyzing brain MRI has been applied to neurodegenerative diseases, providing added value in early diagnosis. MRI-based AI software has been developed and studied worldwide, with some AI-based software already being used in actual clinical care. Currently, there are MRI-based volumetry and segmentation software available. There is also an unmet demand for the application of AI in neurodegenerative diseases. Here, we review current status and unmet needs for application of AI in neurodegenerative diseases. We also discuss current limitations of AI, suggestion for AI-based software, and how it can be clinically applied in the future.
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Dynamic contrast-enhanced MRI (DCE-MRI) is a noninvasive imaging technique used to evaluate tissue vascularity/permeability features through consecutive imaging acquisitions after gadolinium-based contrast agent administration. Over the past several decades, techniques and protocols for DCE-MRI have evolved, leading to growing applications of DCE-MRI for different neurological disorders. Although most established applications of DCE-MRI are for studying tumors, an increasing number of studies have been evaluating the use of this technique for neurodegenerative and other miscellaneous diseases. The purpose of this article was to provide an overview of DCE-MRI and its clinical applications in various neurological diseases.
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Purpose@#The purpose of this study was to evaluate the prevalence and risk factors of unruptured intracranial aneurysms (UIAs), which can help establish guidelines of treatment for asymptomatic Korean adults using 3T magnetic resonance angiography (MRA). @*Materials and Methods@#Our Institutional Review Board approved this retrospective study, and informed consent was waived. All patients consisted of healthy individuals who underwent brain MRA using 3T magnetic resonance imaging between January 2011 and December 2012 as part of a routine health examination. Patient data and follow-up results were obtained from medical records. @*Results@#A total of 2,118 individuals (mean age=53.9±9.6 years, male:female=1,188:930) who had undergone brain MRA were enrolled in the study. UIAs were found in 80 patients with 105 UIAs (3.77%). Female predominance (55% in UIA vs. 43.47% in non-UIA, P=0.0416) and hypertension were more common in the UIA group (43.75% vs. 28.8%, P=0.004, respectively). The mean size of the aneurysms was 3.10±1.62 mm, and they were all saccular in shape and asymptomatic. The UIAs were most common in the internal carotid artery (59.1%), internal carotid-posterior communicating artery (15.2%), middle cerebral artery (9.5%), anterior communicating artery (8.6%), anterior cerebral artery (4.8%), and vertebral artery (2.9%). Twenty-eight of 80 patients (35%) had multiple aneurysms. The incidence of UIAs increased significantly with age (P=0.014). @*Conclusion@#In single center experience, we demonstrated the characteristics and prevalence of UIAs in asymptomatic adults, which may help establish guidelines or therapeutic standards for UIAs.
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Objective@#To investigate the diagnostic yield of diffusion-weighted imaging (DWI) in patients with transient global amnesia (TGA) and identify significant parameters affecting diagnostic yield. @*Materials and Methods@#A systematic literature search of the MEDLINE and EMBASE databases was conducted to identify studies that assessed the diagnostic yield of DWI in patients with TGA. The pooled diagnostic yield of DWI in patients with TGA was calculated using the DerSimonian-Laird random-effects model. Subgroup analyses were also performed of slice thickness, magnetic field strength, and interval between symptom onset and DWI. @*Results@#Twenty-two original articles (1732 patients) were included. The pooled incidence of right, left, and bilateral hippocampal lesions was 37% (95% confidence interval [CI], 30–44%), 42% (95% CI, 39–46%), and 25% (95% CI, 20–30%) of all lesions, respectively. The pooled diagnostic yield of DWI in patients with TGA was 39% (95% CI, 27–52%). The Higgins I2 statistic showed significant heterogeneity (I2 = 95%). DWI with a slice thickness ≤ 3 mm showed a higher diagnostic yield than DWI with a slice thickness > 3 mm (pooled diagnostic yield: 63% [95% CI, 53–72%] vs. 26% [95% CI, 16–40%], p 24 to 96 hours could increase the diagnostic yield.
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Objective@#Preoperative differentiation between inverted papilloma (IP) and its malignant transformation to squamous cell carcinoma (IP-SCC) is critical for patient management. We aimed to determine the diagnostic accuracy of conventional imaging features and histogram parameters obtained from whole tumor apparent diffusion coefficient (ADC) values to predict IP-SCC in patients with IP, using decision tree analysis. @*Materials and Methods@#In this retrospective study, we analyzed data generated from the records of 180 consecutive patients with histopathologically diagnosed IP or IP-SCC who underwent head and neck magnetic resonance imaging, including diffusion-weighted imaging and 62 patients were included in the study. To obtain whole tumor ADC values, the region of interest was placed to cover the entire volume of the tumor. Classification and regression tree analyses were performed to determine the most significant predictors of IP-SCC among multiple covariates. The final tree was selected by cross-validation pruning based on minimal error. @*Results@#Of 62 patients with IP, 21 (34%) had IP-SCC. The decision tree analysis revealed that the loss of convoluted cerebriform pattern and the 20th percentile cutoff of ADC were the most significant predictors of IP-SCC. With these decision trees, the sensitivity, specificity, accuracy, and C-statistics were 86% (18 out of 21; 95% confidence interval [CI], 65–95%), 100% (41 out of 41; 95% CI, 91–100%), 95% (59 out of 61; 95% CI, 87–98%), and 0.966 (95% CI, 0.912–1.000), respectively. @*Conclusion@#Decision tree analysis using conventional imaging features and histogram analysis of whole volume ADC could predict IP-SCC in patients with IP with high diagnostic accuracy.
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Objective@#Immune checkpoint inhibitor (ICI) therapy has shown activity against melanoma brain metastases. Recently, promising results have also been reported for ICI combination therapy and ICI combined with radiotherapy. We aimed to evaluate radiologic response and adverse event rates of these therapeutic options by a systematic review and meta-analysis. @*Materials and Methods@#A systematic literature search of Ovid-MEDLINE and EMBASE was performed up to October 12, 2019 and included studies evaluating the intracranial objective response rates (ORRs) and/or disease control rates (DCRs) of ICI with or without radiotherapy for treating melanoma brain metastases. We also evaluated safety-associated outcomes. @*Results@#Eleven studies with 14 cohorts (3 with ICI combination therapy; 5 with ICI combined with radiotherapy; 6 with ICI monotherapy) were included. ICI combination therapy {pooled ORR, 53% (95% confidence interval [CI], 44–61%); DCR, 57% (95% CI, 49–66%)} and ICI combined with radiotherapy (pooled ORR, 42% [95% CI, 31–54%]; DCR, 85% [95% CI, 63–95%]) showed higher local efficacy compared to ICI monotherapy (pooled ORR, 15% [95% CI, 11–20%]; DCR, 26% [95% CI, 21– 32%]). The grade 3 or 4 adverse event rate was significantly higher with ICI combination therapy (60%; 95% CI, 52–67%) compared to ICI monotherapy (11%; 95% CI, 8–17%) and ICI combined with radiotherapy (4%; 95% CI, 1–19%). Grade 3 or 4 central nervous system (CNS)-related adverse event rates were not different (9% in ICI combination therapy; 8% in ICI combined with radiotherapy; 5% in ICI monotherapy). @*Conclusion@#ICI combination therapy or ICI combined with radiotherapy showed better local efficacy than ICI monotherapy for treating melanoma brain metastasis. The grade 3 or 4 adverse event rate was highest with ICI combination therapy, and the CNS-related grade 3 or 4 event rate was similar. Prospective trials will be necessary to compare the efficacy of ICI combination therapy and ICI combined with radiotherapy.