Current Medical Imaging - Volume 16, Issue 9, 2020

Background: The spectrum of autism encompasses High Functioning Autism (HFA) and Low Functioning Autism (LFA). Brain mapping studies have revealed that autism individuals have overlaps in brain behavioural characteristics. Generally, high functioning individuals are known to exhibit higher intelligence and better language processing abilities. However, specific mechanisms associated with their functional capabilities are still under research. Objective: This work addresses the overlapping phenomenon present in autism spectrum through functional connectivity patterns along with brain connectivity parameters and distinguishes the classes using deep belief networks. Methods: The task-based functional Magnetic Resonance Images (fMRI) of both high and low functioning autistic groups were acquired from ABIDE database, for 58 low functioning against 43 high functioning individuals while they were involved in a defined language processing task. The language processing regions of the brain, along with Default Mode Network (DMN) have been considered for the analysis. The functional connectivity maps have been plotted through graph theory procedures. Brain connectivity parameters such as Granger Causality (GC) and Phase Slope Index (PSI) have been calculated for the individual groups. These parameters have been fed to Deep Belief Networks (DBN) to classify the subjects under consideration as either LFA or HFA. Results: Results showed increased functional connectivity in high functioning subjects. It was found that the additional interaction of the Primary Auditory Cortex lying in the temporal lobe, with other regions of interest complimented their enhanced connectivity. Results were validated using DBN measuring the classification accuracy of 85.85% for high functioning and 81.71% for the low functioning group. Conclusion: Since it is known that autism involves enhanced, but imbalanced components of intelligence, the reason behind the supremacy of high functioning group in language processing and region responsible for enhanced connectivity has been recognized. Therefore, this work that suggests the effect of Primary Auditory Cortex in characterizing the dominance of language processing in high functioning young adults seems to be highly significant in discriminating different groups in autism spectrum.

Wireless Capsule Endoscopy (WCE) is a highly promising technology for gastrointestinal (GI) tract abnormality diagnosis. However, low image resolution and low frame rates are challenging issues in WCE. In addition, the relevant frames containing the features of interest for accurate diagnosis only constitute 1% of the complete video information. For these reasons, analyzing the WCE videos is still a time consuming and laborious examination for the gastroenterologists, which reduces WCE system usability. This leads to the emergent need to speed-up and automates the WCE video process for GI tract examinations. Consequently, the present work introduced the concept of WCE technology, including the structure of WCE systems, with a focus on the medical endoscopy video capturing process using image sensors. It discussed also the significant characteristics of the different GI tract for effective feature extraction. Furthermore, video approaches for bleeding and lesion detection in the WCE video were reported with computer-aided diagnosis systems in different applications to support the gastroenterologist in the WCE video analysis. In image enhancement, WCE video review time reduction is also discussed, while reporting the challenges and future perspectives, including the new trend to employ the deep learning models for feature Learning, polyp recognition, and classification, as a new opportunity for researchers to develop future WCE video analysis techniques.

Background: Low dose CT has become a promising examination method for the diagnosis of Congenital heart disease (CHD) in children because it has a low radiation dose, but it has not been widely accepted as an alternative to standard-dose CT in clinical applications due to concerns about image quality. Therefore, we suggest that the diagnostic accuracy, image quality, and radiation dose of low-dose CT for CHD in children should be fully explored through a metaanalysis of existing studies. Methods: A comprehensive search was performed to identify relevant English and Chinese articles (from inception to May 2019). All selected studies concerned the diagnosis of CHD in children using low-dose CT. The accuracy of low-dose CT was determined by calculating pooled estimates of sensitivity, specificity, diagnostic odds ratio, and likelihood ratio. Pooling was conducted using a bivariate generalized linear mixed model. Forest plots and summary receiver operating characteristic (SROC) curves were generated. Results: Ten studies, accounting for 577 patients, met the eligibility criteria. The pooled sensitivity and specificity were 0.95 (95% confidence interval (CI) 0.92-0.97) and 1.00 (95% CI 1.00- 1.00), respectively. The pooled diagnostic odds ratio, positive likelihood ratio, and negative likelihood ratio of low-dose CT were 12705.53 (95% CI 5065.00-31871.73), 671.29 (95% CI 264.77- 1701.97), and 0.05 (95% CI 0.03-0.08), respectively. Additionally, the area under the SROC curve was 1.00 (95% CI 0.99-1.00), suggesting that low-dose CT is an excellent diagnostic tool for CHD in children. Conclusion: Low-dose CT, especially with a prospective ECG-triggering mode, provides excellent imaging quality and high diagnostic accuracy for CHD in children.

Objective: Mesial temporal lobe epilepsy with hippocampal sclerosis (MTLE-HS) is the most common intractable seizure type of pediatric epilepsy, with alterations in the cortex across the whole brain. The aim of this study is to investigate the abnormalities of cortical thickness in pediatric MTLE-HS. Methods: Subjects were recruited from Shenzhen Children’s Hospital between September 2015 and December 2016. MTLE was confirmed by the experienced neurological physician based on International League Against Epilepsy (ILAE) diagnosis criteria, and structural magnetic resonance imaging (MRI) was performed at 3T for quantitative assessment of cortical thickness. A general linear model with age and gender as covariates was used to examine the vertex-wise differences in cortical thickness between 1) left MTLE-HS (LMTLE-HS) and healthy controls (HC), and 2) right MTLE-HS (RMTLE-HS) and HC. The family-wise error corrected significance threshold was set at P < 0.05. Through a combination of probability and cluster-size thresholding, cluster-wise P values were obtained for the resulting clusters. Results: 13 LMTLE-HS, 6 RMTLE-HS, and 20 age-matched HC were finally enrolled in the study. No significant difference in the mean age (LMTLE-HS vs. HC, p=0.57; RMTLE-HS vs. HC, p=0.39) and gender ratio (LMTLE-HS vs. HC, p=0.24; RMTLE-HS vs. HC, p=0.72) was found between MTLE-HS and HC. In LMTLE-HS, cortical thickness was found significantly decreased in the ipsilateral caudal middle frontal gyrus (p=0.012) and increased in the contralateral inferior temporal gyrus (p=0.020). In RMTLE-HS, cortical thickness significantly decreased in the ipsilateral posterior parietal lobe (superior, p<0.001 and inferior parietal gyrus, p=0.03), the anterior parietal lobe (postcentral gyrus, p=0.006), the posterior frontal lobe (precentral gyrus, p=0.04 and the lateral occipital gyrus, p<0.001), and the contralateral lateral occipital gyrus, middle frontal (p<0.0001) and superior frontal gyrus (p<0.001), and pericalcarine cortex (p=0.020). Conclusion: We detected significant cortical abnormalities in pediatric MTLE-HS patients compared with HC. These cortical abnormalities could be explained by specific pathogenesis in MTLE-HS, and may finally contribute to understanding the intrinsic mechanism of MTLE-HS.

Objectives: To evaluate impacted mandibular third molar tooth region and obtain linear measurements using CBCT images and to assess the relationship between the impacted third molar and the mandibular canal. Methods: CBCT scans of 351 patients (208 females, 143 males) were assessed. Age, gender, and impaction site were recorded for each patient. The relationship of third molars with the vertical axis of second molars, 2nd molar resorption and the relationship between third molar apices and the mandibular canal were assessed. In addition, the distance between ramus and second molar, mesiodistal width of the third molar, the angle between third molar and second molar, and width of the third molar capsule were measured. Binary Logistic Regression, Chi-Square Test, and General Linear Model were used for statistical analysis. Results: The highest percentage of impaction was found for mesioangular followed by transversal and vertical. The transversal impacted third molars revealed a significant association with adjacent second molar root resorption (p<0.001). There was a statistical significance between the second molar resorption and distance between ramus and second molar (p<0.001). The mesioangular impacted third molars revealed significant relation with the mandibular canal (p<0.05). The most frequent variation found was the dental canal followed by the retromolar canal. In general, higher measurement values were obtained for men when compared to women (p<0.05). Conclusion: CBCT assessment of the third molar region provided useful information regarding impacted mandibular third molar surgery operations.

Background: Graves’ Disease is an autoimmune disorder characterized by increased levels of thyroid hormones correlated with increased thyroid blood flow. Thyroid scintigraphy is an important and conventional method. However, it has limited accessibility, has ionizing radiation, and is expensive. Objectives: To investigate the thyroid blood flow in patients with Graves’ Disease by color Doppler Ultrasonography and a newly developed software Color Quantification. Methods: Forty-one consecutive subjects with GD and 41 healthy controls were enrolled. Color Doppler ultrasonography parameters of the thyroid arteries and Color Quantification values of the gland were measured by a radiologist. The correlations between thyroid blood flow parameters, levels of ^99m Technetium pertechnetate uptake, thyrotropin, and free thyroxine were evaluated. The diagnostic performances of these parameters were investigated. Results: The peak systolic-end diastolic velocities of thyroid arteries and Color Quantification values were increased in the study group (p < 0.05 for all). We observed negative correlations between thyrotropin levels and peak-systolic and end-diastolic velocities of superior thyroid arteries and Color Quantification values. There were positive correlations between ^99m Technetium uptake levels and thyroid blood flow parameters (p < 0.05 for all). In the diagnostic performance of thyroid blood flow parameters, we observed utilities significantly in peak-systolic and end-diastolic velocities of thyroid arteries and Color Quantification values (p < 0.05 for all). Conclusion: The increased peak-systolic and end-diastolic velocities of thyroid arteries, and increased Color Quantification values might be helpful in the diagnosis of Graves’ Disease.

Background: Crimean Congo Hemorrhagic Fever (CCHF) is an acute and fatal disease with various clinical and paraclinical characteristics. Introduction: In this article, we report data on confirmed CCHF cases from Iran and describe the association between studying factors and outcomes of the disease. Methods: In the study design, we evaluated demographic characteristics, clinical, laboratory and sonographic findings of 160 CCHF confirmed cases during 2003 and 2012 in Zabol (A city in Sistan and Baluchestan province of Iran). The association between these factors and the fatal outcome were evaluated by regression analysis. Results: The disease had a fatal outcome in 7 (4.4%) patients. Females had more severe symptoms and higher odds for death (odds ratio11.57, p=0.005). Leukocytosis (p<0.001), PT (p<0.001) and PTT (p=0.008) elongation, AST (p=0.010) and ALT (p>0.001) elevation were significantly associated with fatal outcome. CNS related symptoms (odds ratio 5.9, p=0.027) in clinical examination and ascites (odds ratio 38.4, p=0.012) and liquid in the pelvic cavity (odds ratio 24.2, p=0.004) were also identified as risk factors of death in this study. Conclusion: Our data suggest that in addition to clinical and laboratory findings practitioners consider sonography for CCHF prognosis.

Background: Non-traditional image markers can improve the traditional cardiovascular risk estimation, is untested in Kerala based participants. Objective: To identify the relationship between the ‘Modified CV risk’ categories with traditional and non-traditional image-based risk markers. The correlation and improvement in reclassification, achieved by pooling atherosclerotic non-traditional markers with Intermediate (≥7.5% and <20%) and High (≥20%) 10-year participants is evaluated. Methods: The cross-sectional study with 594 participants has the ultrasound measurements recorded from the medical archives of clinical locations at Ernakulum district, Kerala. With carotid Intima-Media Thickness (cIMT) measurement, the Plaque (cP) complexity was computed using selected plaque characteristics to compute the carotid Total Plaque Risk Score (cTPRS) for superior risk tagging. Statistical analysis was done using RStudio, the classification accuracy was verified using the decision tree algorithm. Results: The mean age of the participants was (58.14±10.05) years. The mean cIMT was (0.956±0.302) mm, with 65.6% plaque incidence. With 94.90% variability around its mean, the Multinomial Logistic Regression model identifies cIMT and cTPRS, age, diabetics, Familial Hypercholesterolemia (FH), Hypertension treatment, the presence of Rheumatoid Arthritis (RA), Chronic Kidney Disease (CKD) as significant (p<0.05). cIMT and cP were found significant for ‘Intermediate High’, ‘High’ and ‘Very High’ ‘Modified CV risk’ categories. However, age, diabetes, gender and use of hypertension treatment are significant for the ‘Intermediate’ ‘Modified CV risk’ category. The overall performance of the MLR model was 80.5%. The classification accuracy verified using the decision tree algorithm has 78.7% accuracy. Conclusion: The use of atherosclerotic markers shows a significant correlation suitable for a nextlevel reclassification of the traditional CV risk.

Background: When undergoing magnetic resonance (MR) exams, patients need to lie still in a noisy and enclosed environment for a long time. This condition, together with the anxiety burden related to the possible implications of the scan results, can entail a diagnostic outcome of poor quality. Objective: The aim of the study was to evaluate the personal perception and experience of adult patients undergoing unenhanced musculoskeletal MR. Methods: Consecutive outpatients undergoing unenhanced MR of spine, knee or shoulder were asked to respond to a 10-item questionnaire at the end of the exam. Results: 263 patients (54% males, mean age 50.6 ±15.8 years, range 18-83 years) completed the questionnaire. Patients declared that the most disturbing elements of the exam were forced immobility and noise (30% in both cases). Females perceived significantly higher degree of anxiety than males (56% vs. 21%, p<0.001). Exam duration was correctly perceived by 83% of the population. Patients' satisfaction was generally high (mean above 9 over 10). Conclusion: Explanations and clarifications given before the exam were considered satisfactory by the patients. Despite some negative aspects such as noise, immobility and anxiety especially in females, patients' satisfaction with our service was high, as well as the willingness to return.

Background: Breast cancer uncommonly occurs in young women, but, tends to be diagnosed at a later stage and have a poorer prognosis than in older women. Standard screening guidelines for this age group are not established and the radiologic features of breast cancer in young women are not fully studied yet, because of the low incidence. Objectives: To investigate the imaging findings for breast cancer in women aged 30 years or younger and to correlate them with clinicopathologic features and immunohistochemical subtypes. Methods: The study included 52 women with surgically confirmed breast cancer. The medical records of the patients were retrospectively reviewed and the mammographic and ultrasonographic findings were evaluated according to the fifth edition of the ACR BI-RADS lexicon. Results: Most of the tumors in this study were presented as a self-detected mass (42/52, 80.8%) and were of histologic grade III (31/43 invasive carcinoma, 72.1%) and the estrogen receptorpositive subtype (32/52, 61.5%). The most common mammographic finding was an irregular (19/24, 79.2%), indistinct (16/24, 66.7%), and hyperdense (20/24, 83.3%) mass. The ultrasonographic findings were of an irregular (32/47, 68.1%), indistinct (19/47, 40.4%), and hypoechoic/ heterogeneous (40/47, 85.1%) mass with no posterior features (34/47, 72.3%). An oval/round-shaped mass on ultrasonography was also correlated with triple-negative cancer (p=0.011). Conclusion: On mammography and ultrasonography, breast cancer in young women usually presents as a mass with irregular shape and indistinct margin. Some radiologic findings could be used to predict the molecular phenotype of the tumor.

Background: In some medical applications (e.g., virtual surgery), standard human organ models are very important and useful. Now that real human body slice image sets have been collected by several countries, it is possible to obtain real standard organ models. Introduction: Understanding how to abandon the traditional model construction method of Photoshop sketching slice by slice and directly extracting 3D models from volume images has been an interesting and challenging issue. In this paper, a 3D color volume image matting method has been proposed to segment human body organ models. Methods: First, the scope of the known area will be expanded by means of propagation. Next, neighborhood sampling to find the best sampling for voxels in an unknown region will be performed and then the preliminary opacity using the sampling results will be calculated. Results: The final result will be obtained by applying local smoothing to the image. Conclusion: From the experimental results, it has been observed that our method is effective for real standard organ model extraction.

Hemangiomas are benign tumours that commonly develop in the skin, mucosal surfaces, and soft tissues. However, intranodal hemangiomas are extremely rare and are among the benign primary vascular abnormalities of the lymph nodes that include lymphangioma, hemangioendothelioma, angiomyomatous hamartoma and hemangiomas. The hemangioma in the pelvic lymph node has never been reported in the English literature. Herein, we described an extremely rare case of hemangioma in the pelvic lymph node, simulating a benign metastasizing leiomyoma.