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PURPOSE: The traditional imaging findings reported in Sturge-Weber syndrome (SWS) include endpoints of cortical injury-cortical atrophy and cortical calcifications-but also what has been termed a "leptomeningeal angiomatosis," the latter recognized and reported as a leptomeningeal enhancement on magnetic resonance imaging (MRI). The objective of this study is to demonstrate through neuropathological correlation that the "leptomeningeal angiomatosis" in patients with Sturge-Weber syndrome (SWS), represents a re-opened primitive venous network in the subarachnoid space that likely acts as an alternative venous drainage pathway, seen separately to abnormal pial enhancement. MATERIALS AND METHODS: Retrospective review of MR imaging and surgical pathology of patients that underwent surgery for epilepsy at a tertiary, children's hospital. A pediatric radiologist with more than 20 years of experience reviewed the MR imaging. Surgically resected brain specimens that had been sectioned and fixed in 10% paraformaldehyde for histologic processing, following processing and paraffin embedding, were cut into 5-µm unstained slides which were subsequently stained with hematoxylin and eosin (H&E). Slides were re-examined by a board-certified pediatric neuropathologist, and histologic features specifically relating to cerebral surface and vascularity were documented for correlation with MR imaging of the resected region performed prior to resection. RESULTS: Five patients were reviewed (3 boys and 2 girls; the median age at the onset of seizures was 12 months (IQR, 7 to 45 months); the median age at surgery was 33 months (IQR, 23.5 to 56.5 months)). Surgical procedures included the following: 4, hemispherotomy (right: 2, left: 2) and 1, hemispherectomy (right). A subarachnoid space varicose network was present on both MRI and histology in 4 patients. Calcifications were seen on both MRI and histology in 3 patients. Abnormal leptomeningeal enhancement was present in 5 patients and seen separately from the subarachnoid vascular network in 4 patients. CONCLUSION: Histopathology confirmed the MRI findings of a subarachnoid space varicose network seen separately from leptomeningeal enhancement and presumed to represent an alternative venous drainage pathway to compensate for maldevelopment of cortical veins, the primary abnormality in SWS. No pial-based angioma was identified.
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Imagen por Resonancia Magnética , Síndrome de Sturge-Weber , Humanos , Síndrome de Sturge-Weber/diagnóstico por imagen , Síndrome de Sturge-Weber/cirugía , Síndrome de Sturge-Weber/patología , Masculino , Femenino , Estudios Retrospectivos , Preescolar , Imagen por Resonancia Magnética/métodos , Niño , Lactante , Piamadre/diagnóstico por imagen , Piamadre/patología , Espacio Subaracnoideo/diagnóstico por imagen , Espacio Subaracnoideo/patología , Espacio Subaracnoideo/cirugía , Adolescente , Angiomatosis/cirugía , Angiomatosis/diagnóstico por imagen , Angiomatosis/patología , Várices/diagnóstico por imagen , Várices/cirugía , Várices/patologíaRESUMEN
PURPOSE: Sturge-Weber syndrome (SWS) is a developmental disorder with venous hypertension and associated tissue responses including pial angiomatosis, cortical calcifications, and cerebral atrophy. Arterial spin-labeled (ASL) perfusion is an advanced MR sequence which can assess perfusion, without the need for contrast. We systematically evaluated the potential benefits of using ASL in Sturge-Weber syndrome, to determine the extent of intracranial perfusion abnormality and stage of disease, relevant for prognostication and surgical planning. METHODS: Two pediatric neuroradiologists retrospectively evaluated ASL perfusion imaging of 31 children with confirmed SWS and recorded the presence of hyper-perfusion, hypo-perfusion, or normal perfusion. The presence and distribution of ASL abnormality were compared against the presence and side of atrophy/calcification and pial angiomatosis on standard MR sequences. RESULTS: Thirty-one children (52% female, median age 16.7 months) with SWS had ASL imaging. Seven (23%) had hyper-perfusion, 15 (48%) had hypo-perfusion, and 9 (29%) had no perfusion abnormalities. ASL perfusion abnormality matched the location of SWS findings on conventional imaging in 86% (19/22). ASL demonstrated statistically significant increased perfusion in the early stage of the disease and decreased perfusion when there was atrophy. The parietal lobe was involved in 86% of cases. CONCLUSION: ASL perfusion imaging is an advanced technique which may contribute to earlier diagnosis and more accurate prognostication of Sturge-Weber syndrome, helping guide management and potential surgical planning.
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Angiomatosis , Síndrome de Sturge-Weber , Niño , Humanos , Femenino , Lactante , Masculino , Síndrome de Sturge-Weber/diagnóstico por imagen , Estudios Retrospectivos , Estudios Transversales , Imagen por Resonancia Magnética/métodos , Perfusión , AtrofiaRESUMEN
OBJECTIVE: There has been a large amount of research in the field of artificial intelligence (AI) as applied to clinical radiology. However, these studies vary in design and quality and systematic reviews of the entire field are lacking.This systematic review aimed to identify all papers that used deep learning in radiology to survey the literature and to evaluate their methods. We aimed to identify the key questions being addressed in the literature and to identify the most effective methods employed. METHODS: We followed the PRISMA guidelines and performed a systematic review of studies of AI in radiology published from 2015 to 2019. Our published protocol was prospectively registered. RESULTS: Our search yielded 11,083 results. Seven hundred sixty-seven full texts were reviewed, and 535 articles were included. Ninety-eight percent were retrospective cohort studies. The median number of patients included was 460. Most studies involved MRI (37%). Neuroradiology was the most common subspecialty. Eighty-eight percent used supervised learning. The majority of studies undertook a segmentation task (39%). Performance comparison was with a state-of-the-art model in 37%. The most used established architecture was UNet (14%). The median performance for the most utilised evaluation metrics was Dice of 0.89 (range .49-.99), AUC of 0.903 (range 1.00-0.61) and Accuracy of 89.4 (range 70.2-100). Of the 77 studies that externally validated their results and allowed for direct comparison, performance on average decreased by 6% at external validation (range increase of 4% to decrease 44%). CONCLUSION: This systematic review has surveyed the major advances in AI as applied to clinical radiology. KEY POINTS: ⢠While there are many papers reporting expert-level results by using deep learning in radiology, most apply only a narrow range of techniques to a narrow selection of use cases. ⢠The literature is dominated by retrospective cohort studies with limited external validation with high potential for bias. ⢠The recent advent of AI extensions to systematic reporting guidelines and prospective trial registration along with a focus on external validation and explanations show potential for translation of the hype surrounding AI from code to clinic.
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Inteligencia Artificial , Radiología , Humanos , Estudios Retrospectivos , Estudios Prospectivos , RadiografíaRESUMEN
BACKGROUND AND PURPOSE: Sturge-Weber syndrome is a rare congenital disorder characterized by cortical atrophy and calcifications on late-stage imaging. Understanding the evolution of brain lesions is crucial for effective early interventions, yet the timeline remains unclear. We aimed to evaluate early brain MRI findings and their progression longitudinally on follow up MRI in children diagnosed with Sturge-Weber syndrome. MATERIALS AND METHODS: We retrospectively included all children with a confirmed diagnosis of Sturge-Weber syndrome between 2009 and 2023 that had at least 2 available MRIs performed before the age of 2 years. A pediatric radiologist and a pediatric neuroradiologist evaluated all the MRI scans for pial enhancement, choroid plexus enlargement, atrophy, calcifications, a prominent subarachnoid varicose network, trans medullary veins, subependymal veins, and deep extra ventricular veins. Descriptive analysis was used for demographic data and brain lesion prevalence. Cumulative incidence curves were used to show the timeline of emerging lesions. K-means clustering was used to categorize the lesions based on their prevalence at 1, 2, 3, 6, 12, 18, and 24 months after birth. RESULTS: Nine patients met the inclusion criteria. Median ages at the first and last MRIs were 35 days (IQR: 11-123) and 294 days (IQR: 208-465), respectively. The most prevalent lesions at the first MRI were subarachnoid varicose network (88.9%) and trans medullary veins (77.8%), while prevalence of atrophy and calcifications differed most between the first and last MRIs. The results of the elbow method and K-means clustering showed that we can divide Sturge-Weber syndrome lesions into 3 groups based on their timeline of emergence. The first cluster contained subarachnoid varicose network, trans medullary veins, subependymal veins, and choroid plexus enlargement. The second cluster contained deep extra ventricular veins, pial enhancement, accelerated myelination, and atrophy. The last cluster contained calcifications. CONCLUSIONS: Our findings suggest that dilated venous channels emerge early as a compensatory mechanism, preceding atrophy and calcification. Additionally, these dilated channels precede the appearance of abnormal contrast enhancement of the pia, often termed leptomeningeal angioma. This underscores the importance of early recognition and monitoring of these initial imaging indicators in clinical practice. ABBREVIATIONS: ASL = Arterial Spin Labelled; MinIP = Minimum intensity projection; SWS = Sturge-Weber Syndrome.
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INTRODUCTION: There has been a recent explosion of research into the field of artificial intelligence as applied to clinical radiology with the advent of highly accurate computer vision technology. These studies, however, vary significantly in design and quality. While recent guidelines have been established to advise on ethics, data management and the potential directions of future research, systematic reviews of the entire field are lacking. We aim to investigate the use of artificial intelligence as applied to radiology, to identify the clinical questions being asked, which methodological approaches are applied to these questions and trends in use over time. METHODS AND ANALYSIS: We will follow the Preferred Reporting Items for Systematic Review and Meta-Analysis (PRISMA) guidelines and by the Cochrane Collaboration Handbook. We will perform a literature search through MEDLINE (Pubmed), and EMBASE, a detailed data extraction of trial characteristics and a narrative synthesis of the data. There will be no language restrictions. We will take a task-centred approach rather than focusing on modality or clinical subspecialty. Sub-group analysis will be performed by segmentation tasks, identification tasks, classification tasks, pegression/prediction tasks as well as a sub-analysis for paediatric patients. ETHICS AND DISSEMINATION: Ethical approval will not be required for this study, as data will be obtained from publicly available clinical trials. We will disseminate our results in a peer-reviewed publication. Registration number PROSPERO: CRD42020154790.
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BACKGROUND: Differentiating combined pulmonary fibrosis with emphysema (CPFE) from pure emphysema can be challenging on high-resolution computed tomography (HRCT). This has antifibrotic therapy implications. METHODS: Twenty patients with suspected CPFE underwent late gadolinium-enhanced (LGE) thoracic magnetic resonance imaging (LGE-MRI) and HRCT. Data from twelve healthy control subjects from a previous study who underwent thoracic LGE-MRI were included for comparison. Quantitative LGE signal intensity (SI) was retrospectively compared in regions of fibrosis and emphysema in CPFE patients to similar lung regions in controls. Qualitative comparisons for the presence/extent of reticulation, honeycombing, and traction bronchiectasis between LGE-MRI and HRCT were assessed by two readers in consensus. RESULTS: There were significant quantitative differences in fibrosis SI compared to emphysema SI in CPFE patients (25.8, IQR 18.4-31.0 versus 5.3, IQR 5.0-8.1, p < 0.001). Significant differences were found between LGE-MRI and HRCT in the extent of reticulation (12.5, IQR 5.0-20.0 versus 25.0, IQR 15.0-26.3, p = 0.038) and honeycombing (5.0, IQR 0.0-10.0 versus 20.0, IQR 10.6-20.0, p = 0.001) but not traction bronchiectasis (10.0, IQR 5-15 versus 15.0, IQR 5-15, p = 0.878). Receiver operator curve analysis of fibrosis SI compared to similarly located regions in control subjects showed an area under the curve of 0.82 (p = 0.002). A SI cutoff of 19 yielded a sensitivity of 75% and specificity of 86% in differentiating fibrosis from similarly located regions in control subjects. CONCLUSION: LGE-MRI can differentiate CPFE from pure emphysema and may be a useful adjunct test to HRCT in patients with suspected CPFE.