Neuroimaging and calvarial findings in achondroplasia

Achondroplasia is the most common hereditary form of dwarfism and is characterized by short stature, macrocephaly and various skeletal abnormalities. The phenotypic changes are mainly related to the inhibition of endochondral bone growth. Besides the several commonly known physical features that are characteristic of this syndrome, achondroplasia can affect the central nervous system. The impact on the central nervous system can cause some important clinical conditions. Thus, awareness of detailed neuroimaging features is helpful for the follow-up and management of complications. Although the neuroimaging findings in children with achondroplasia have been noted recently, no literature has specifically reviewed these findings extensively. Radiologists should be familiar of these findings because they have an important role in the diagnosis of achondroplasia and the recognition of complications. The aim of this pictorial essay is to review and systematize the distinctive characteristics and abnormalities of the central nervous system and the calvarium in children with achondroplasia

Evaluation of the relationship between cranial magnetic resonance imaging findings and clinical status in children with cerebral palsy

Background/aim: The objective of this study was to evaluate the relationship between cranial magnetic resonance imaging (MRI) findings and clinical features in cerebral palsy (CP). Materials and methods: Children aged 3 to 18 years, who were followed with the diagnosis of CP between January 2012 and September 2015, were included. The type of CP was classified using the European Cerebral Palsy Monitoring Group's classification system and then, patients were divided into two groups as spastic or nonspastic groups. The Gross Motor Function Classification System (GMFCS) was used to determine the level of mobility. According to the GMFCS, levels 1, 2, and 3 were grouped as mobile, and levels 4 and 5 were grouped as immobile. Cranial MRI findings were reevaluated by a voluntarily radiologist and grouped as periventricular leukomalacia (PVL) (grades 1, 2, and 3), cerebral atrophy, migration anomaly, cerebellar involvement, basal ganglion involvement, and normal MRI findings. Results: Sixty-two patients were enrolled. The rate of mobile patients did not differ between the spastic and nonspastic groups. The incidence of PVL was significantly higher in cases of prematurity and spastic CP (p < 0.05). The rate of mobilization was significantly lower and the rate of epilepsy was significantly higher in patients with PVL. Immobile patients were more common among cases of grade 3 PVL (p < 0.05). Conclusion: The most common cranial MRI pathology was PVL, and the presence of PVL and its grade might help clinically assess the patient's CP type and level of mobilization. While pathology was observed mostly in cranial MRI in cases of CP with similar clinical features, the fact that cranial MRI was completely normal for 14.5% of the cases suggests that there may be some pathologies that we could not identify with today's imaging technology

MRI-based texture analysis for differentiating pediatric craniofacial rhabdomyosarcoma from infantile hemangioma

Objectives To evaluate the diagnostic performance of MRI texture analysis (TA) for differentiation of pediatric craniofacial rhabdomyosarcoma (RMS) from infantile hemangioma (IH). Methods This study included 15 patients with RMS and 42 patients with IH who underwent MRI before an invasive procedure. All patients had a solitary lesion. T2-weighted and fat-suppressed contrast-enhanced T1-weighted axial images were used for TA. Two readers delineated the tumor borders for TA independently and evaluated the qualitative MRI characteristics in consensus. The differences of the texture features' values between the groups were assessed and ROC curves were calculated. Logistic regression analysis was used to analyze the value of TA with and without the combination of the qualitative MRI characteristics. A p value < 0.05 was considered statistically significant. Results Thirty-eight texture features were calculated for each tumor. Eighteen features on T2-weighted images and 25 features on contrast-enhanced T1-weighted images were significantly different between the RMSs and IHs. On contrast-enhanced T1-weighted images, the short-zone emphasis (SZE), which was a gray-level zone length matrix (GLZLM) parameter, had the largest area under the curve: 0.899 (sensitivity 93%, specificity 87%). The independent predictor for the RMS among the qualitative MRI characteristics was heterogeneous contrast enhancement (p < 0.001). Using only a GLZLM_SZE value of lower than 0.72 was found to be the best diagnostic parameter in predicting RMS (p < 0.001; 95% CI, 8.770-992.4). Conclusion MRI-based TA may contribute to differentiate RMS from IH without invasive procedures

The role of MRI- based texture analysis to predict the severity of brain injury in neonates with perinatal asphyxia

Objective: To evaluate the efficacy of the MRI- based texture analysis (TA) of the basal ganglia and thalami encephalopathy (HIE) from mild HIE in neonates. Methods: This study included 68 neonates (15 with mild, 20 with moderate- to- severe HIE, and 33 control) were born at 37 gestational weeks or later and underwent MRI in first 10 days after birth. The basal ganglia and thalami were delineated for TA on the apparent diffusion coefficient (ADC) maps, T1-, and T2 weighted images. The basal ganglia, thalami, and the posterior limb of the internal capsule (PLIC) were also evaluated visually on diffusion- weighted imaging and T1 weighted sequence. Receiver operating characteristic curve and logistic regression analyses were used. Results: Totally, 56 texture features for the basal ganglia and 46 features for the thalami were significantly different between the HIE groups on the ADC maps, T2-, and T2 weighted sequences. Using a Histogram_ entropy log 10 value as >1.8 from the basal ganglia on the ADC maps (p < 0.001; OR, 266) and the absence of hyperintensity of the PLIC on T1 weighted images (p = 0.012; OR, 17.11) were found as independent predictors for moderateto-severe HIE. Using only a Histogram_ entropy log 10 value had an equal diagnostic yield when compared to its combination with other texture features and imaging findings. Conclusion: The Histogram_entropy log 10 value can be used as an indicator to differentiate from moderate to severe to mild HIE. Advances in knowledge: MRI- based TA may provide quantitative findings to indicate different stages in neonates with perinatal asphyxia

The role of CT texture analysis in predicting the clinical outcomes of acute ischemic stroke patients undergoing mechanical thrombectomy

Objectives To evaluate the performance of CT-based texture analysis (TA) for predicting clinical outcomes of mechanical thrombectomy (MT) in acute ischemic stroke (AIS). Methods This single-center, retrospective study contained 64 consecutive patients with AIS who underwent MT for large anterior circulation occlusion between December 2016 and January 2020. Patients were divided into 2 groups according to the modified Rankin scale (mRS) scores at 3 months as good outcome (mRS 2). Two observers examined the early ischemic changes for TA on baseline non-contrast CT images independently. Demographic, clinical, periprocedural, and texture variables were compared between the groups and ROC curves were made. Logistic regression analysis was used and a model was created to determine the independent predictors of a bad outcome. Results Sixty-four patients (32 female, 32 male; mean age 63.03 +/- 14.42) were included in the study. Fourteen texture parameters were significantly different between patients with good and bad outcomes. The long-run high gray-level emphasis (LRHGE), which is a gray-level run-length matrix (GLRLM) feature, showed the highest sensitivity (80%) and specificity (70%) rates to predict disability. The GLRLM_LRHGE value of > 4885.0 and the time from onset to puncture of > 237.5 mi were found as independent predictors of the bad outcome. The diagnostic rate was 80.0% when using the combination of the GLRLM_LRHGE and the time from onset to puncture cutoff values. Conclusion CT-based TA might be a promising modality to predict clinical outcome after MT in patients with AIS

Differentiation of simple renal parenchymal cyst and calyceal diverticulum

Background Calyceal diverticulum is the cystic eventration of the upper urinary tract within the renal parenchyma, which gives the first impression of a simple renal cyst and therefore can easily be misdiagnosed. We conducted a study to assess the role of static-fluid magnetic resonance (MR) urography in the differentiation of renal parenchymal cysts and calyceal diverticulum in comparison with focused renal ultrasonography (US)

Differentiation of simple renal parenchymal cyst and calyceal diverticulum

Background Calyceal diverticulum is the cystic eventration of the upper urinary tract within the renal parenchyma, which gives the first impression of a simple renal cyst and therefore can easily be misdiagnosed. We conducted a study to assess the role of static-fluid magnetic resonance (MR) urography in the differentiation of renal parenchymal cysts and calyceal diverticulum in comparison with focused renal ultrasonography (US)

Primary paraspinal lumbar hydatid disease: A known diagnosis in an unusual localization

Hydatid disease is a parasitic infection caused by Echinococcus granulosus. Although the liver and lung are the most common sites of hydatid disease, it can also be seen in other organs due to migration via systemic circulation, Paraspinal lumbar hydatid disease without the involvement of other organs is extremely rare, We aimed to present the imaging and histopathological findings of a case with painful lumbar swelling that was later diagnosed as primary lumbar paraspinal hydatid disease. Hydatid disease should be considered as the differential diagnosis in patients with a lumbar paraspinal mass, particularly that containing multiple well-defined, round, small cysts, and in patients living in or traveling to endemic regions

Variations of the vascular canals in the cochlear implant candidates

Objective: To evaluate the incidence of vascular canal variations in the pediatric cochlear implant (CI) candidates