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Current Medical Imaging - Current Issue
Volume 20, Issue 1, 2024
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Magnetic Resonance Imaging Findings of Foetal Congenital Toxoplasma Encephalitis: A Case Report
Authors: Min-Jie Lin, Jian Lin and Ke ZhengBackgroundToxoplasma gondii (T. gondii) infection is not uncommon in daily life, primary infection with T. gondii acquired during gestation may lead to a series of fetal complications. Prenatal ultrasound and postpartum neonatal T. gondii encephalitis have been reported previously, but fetal MRI findings of T. gondii encephalitis are quite rare. It is important to identify the severity of cerebral damage and assess fetal prognosis.
ObjectiveThe purpose of this report is to emphasize that MRI can provide more excellent anatomic information on abnormalities in cerebral parenchyma than ultrasound, which is helpful for the diagnosis of prenatal infectious encephalitis.
Case PresentationA 38-year-old woman presented to our hospital at a gestation age of 29 weeks due to an ultrasound that showed fetal ventriculomegaly. The fetus demonstrated ventriculomegaly, intrauterine growth restriction, and multiple cystic lesions close to the corticomedullary junction of the frontal, temporal and parietal lobes on both sides. The woman chose to terminate the pregnancy, and pathological examination confirmed the diagnosis of congenital toxoplasma encephalitis.
ConclusionThis is a rare report of MRI manifestations of fetal congenital toxoplasma encephalitis. Detailed knowledge of MRI findings in fetal congenital toxoplasma encephalitis is helpful for prenatal consultation and pregnancy management.
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Evaluation of the Frequency of Tentorial Hypoplasia and Accompanying Gyral Herniation using MRI
Authors: Aynur Turan, Hatice Kaplanoğlu, Tuba Akdağ, Ferhat Yıldırım, Selda Güven and Baki HekimoğluPurposeThe cerebellar tentorium, the second-largest dural reflection in the brain, separates supratentorial and infratentorial structures. This study aimed to determine the frequency of tentorial hypoplasia (TH) and gyral herniation and their relationship with clinical findings.
MethodsThe standard brain MRIs were examined retrospectively. The presence of TH and laterality were investigated. If hypoplasia was accompanied by a gyrus extending inferior to the line where the tentorium should be located, this was recorded as tentorial hypoplasia-herniated gyrus (TH-HG), while the cases with hypoplasia alone were noted as isolated TH. It was also determined which gyrus or gyri were herniated. The clinical findings of the patients were obtained, and the correlation between HG was explored.
ResultsStandard brain MRIs of the 2051 patients were evaluated. Two hundred ten patients were excluded from the study due to different intracranial disorders, and 1841 patients, 739 (40.1%) males, and 1102 (59.9%) females, were included. Isolated TH or TH-HG was present in 56 patients, resulting in a prevalence of 3.04%. Of the patients with TH or TH-HG, 15 were men, and 41 were women. TH and TH-HG were significantly more common in women (p=0.038). TH-HG was unilateral in 22 (39.2%) patients and bilateral in 21 (37.5%). Left TH was found in 11 (19.6%) patients, left TH-HG in 29 (51.7%), right TH in eight (14.2%), and left TH-HG in 35 (62.5%).
ConclusionHypoplasia of the tentorium is a rare and unknown anomaly that can be easily diagnosed using MRI, and different gyral herniations may accompany TH.
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The Treatment of Congenital Recto-vestibular Fistula and Recto-perineal Fistula, and the Effects of the Megarectum on Defecation
Authors: Jian Li, Jinyu Dai, Xiaoxia Wu and Xiaobing SunObjectiveThis study aims to discuss the treatment of congenital recto-vestibular fistula and recto-perineal fistula, and the effect of the megarectum on defecation.
BackgroundCongenital recto-vestibular fistula or recto-perineal fistula is the most common type of anorectal malformation, and surgical methods include posterior sagittal anorectoplasty, anterior sagittal anorectoplasty, and mid-sagittal anorectoplasty, which can be performed at stage one or stage two after the ostomy. In the later stages of a recto-vestibular fistula, constipation is a common complication. Rectal dilatation is frequently associated with constipation, and the effect of rectal dilatation on defecation should be discussed for patients with congenital recto-vestibular or recto-perineal fistula who had rectal dilatation prior to surgery. Rectal dilatation may be one of the causes of constipation for congenital recto-vestibular fistula and recto-perineal fistula.
MethodsThe patients in this study were 67 children with congenital recto-vestibular fistula or recto-perineal fistula treated in our hospital from March 2013 to February 2017. All patients underwent an MRI of the spine and a barium enema. Six patients with myelodysplasia and sacral agenesis were excluded from this study. There were 18 patients with rectal dilatation (ages: 4-month-old to 1 year old, male: 3, female: 15). Seven of them had anterior sagittal anorectoplasty (group A), and 11 had anorectoplasty with dilated rectum resection (group B). Forty-three patients (ages: 3- to 10 months old, male: 6; female: 37) without a dilated rectum underwent anterior sagittal anorectoplasty (group C).
ResultsAll patients were followed up for 1 year to 5 years. Among the 50 patients who had undergone an anoplasty, 5 out of 7 patients with rectal dilatation developed post-operative constipation, and 3 of them had normal defecation after the second resection of the dilated rectum. Only two out of 43 patients without rectal dilatation developed post-operative constipation. One out of 11 patients with rectal dilatation who underwent anoplasty and resection of the dilated rectum developed post-operative constipation.
ConclusionPatients with congenital recto-vestibular fistula or recto-perineal fistula complicated by rectal dilatation are more susceptible to post-operative constipation. Resection of the dilated rectum at the same time can reduce the incidence rate of constipation. A barium enema should be performed pre-operatively for patients with congenital recto-vestibular fistula or recto-perineal fistula. If the dilated rectum is found, it can be resected at the same time.
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Coronary Cameral Fistula Disclosed by Echocardiography: A Case Report of Typical Findings and Literature Review
Authors: Wan Khey Chan, Yi Yao Chang and Ai Hsien LiBackgroundCoronary cameral fistula is a rare cardiovascular anomaly, and usually needs advanced image modalities, such as computerized tomography and/or angiography, to confirm its existence. A few reports in the literature have addressed the role of medical ultrasound in the diagnosis of this disease, without a comprehensive summary of all the valuable echocardiographic features in its diagnosis.
Case PresentationHereby, we presented an 80-year-old lady with exertional dyspnea and angina. We diagnosed coronary cameral fistula from the left anterior descending artery into the left ventricle by echocardiography with “intramyocardial vascular channel and the diastolic flow”, and “multiple diastolic flow jets into heart chamber from heart wall”. We confirmed the diagnosis with coronary angiography later. In the discussion, we make a comprehensive summary to conclude all the echocardiographic findings of this disease into 3 categories.
ConclusionWe believe the identification of those findings will prompt the early diagnosis of this rare anomaly.
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Atypical Radiological Findings of Capillary Hemangioma in Right Atrium: A Case Report
Authors: An Na Seo, Byunggeon Park, Jae-Kwang Lim, Jungsup Byun, Ji Eun Park, Jung Guen Cha, Jihoon Hong, Seo Young Park and Jongmin ParkBackgroundCardiac hemangiomas account for only 2.8% of primary cardiac tumors and are caused by the abnormal proliferation of endothelial cells and excess blood vessels. Typical radiological findings of cardiac hemangioma demonstrate intense contrast enhancement.
Case PresentationHere we report the case of a 69-year-old man who presented with a right atrial mass found incidentally with multimodal imaging findings, including echocardiography, computed tomography (CT), and magnetic resonance imaging (MRI). This case presented with poor enhancement within right atrial mass on dynamic contrast-enhanced CT scan and gadolinium-enhanced first-pass perfusion image of cardiac MRI. After surgical resection, the pathologic diagnosis of cardiac capillary hemangioma was made.
ConclusionCardiac hemangioma could be included in the differential diagnosis for cardiac neoplasms demonstrating poor enhancements on CT and MRI scans.
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Application of Computed Tomography Perfusion Imaging-guided Mechanical Thrombectomy in Ischemic Stroke Patients with Large Vessel Occlusion beyond the Therapeutic Time Window
Authors: Shifeng Xiang, Ya Su, Shuyuan Li, Sujun Yang and Yiping WuIntroductionTo explore the feasibility of applying computed tomography perfusion (CTP) imaging-guided mechanical thrombectomy in acute ischemic stroke patients with large vessel occlusion beyond the therapeutic time window.
MethodsThe clinical data of acute cerebral infarction patients with large vessel occlusion who were beyond the therapeutic time window and admitted to Handan Central Hospital from January 2021 to March 2022 were retrospectively analyzed. All patients were assessed by the National Institutes of Health Stroke Scale (NIHSS) and were examined by one-stop CTP imaging. The preoperative onset time of the disease was more than 6 h. Fourteen patients underwent magnetic resonance imaging examination at the same time. Fifty-four patients were retrospectively divided into two groups based on the treatment methods: the mechanical thrombectomy group had 21 patients and the conservative treatment group had 33 patients. NIHSS scoring and computed tomography scan were performed before treatment, 6 h, 24 h, 7 days, and 30 days after treatment.
ResultsThe NIHSS scores of the patients with acute cerebral large vessel occlusion who underwent CTP imaging-guided mechanical thrombectomy at 6 h, 24 h, 7 days, and 30 days after treatment were compared with those of the conventional treatment group. The NIHSS score of the mechanical thrombectomy group was significantly better, and the difference was statistically significant (P < 0.05). In terms of the prognosis rate and expansion rate of infarct core volume, the patients of the mechanical thrombectomy group had a better prognosis, and the difference was statistically significant (P < 0.05). Artificial intelligence-assisted CTP diagnosis can facilitate the automatic evaluation of diseases and enable quick judgments that are independent of radiologists’ evaluation, but it may pose a problem in the determination of infarct core volume (either being too high or too low).
ConclusionIt is of great significance to apply CTP imaging in guiding the mechanical thrombectomy procedure in acute stroke patients with large vessel occlusion who are beyond the therapeutic time window.
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Standardization of Breast Dynamic Contrast-enhanced MRI Signal with Application to the Assessment of Background Parenchymal Enhancement Rate
Authors: Milica Medved, Keiko Tsuchiya, Xiaobing Fan, Gregory S. Karczmar and Hiroyuki AbeBackgroundThere is currently no clinically accepted method for quantifying background parenchymal enhancement (BPE), though a sensitive method might allow individualized risk management based on the response to cancer-preventative hormonal therapy.
ObjectiveThe objective of this pilot study is to demonstrate the utility of linear modeling of standardized dynamic contrast-enhanced MRI (DCEMRI) signal for quantifying changes in BPE rates.
MethodsOn a retrospective database search, 14 women with DCEMRI examinations pre- and post-treatment with tamoxifen were identified. DCEMRI signal was averaged over the parenchymal ROIs to obtain time-dependent signal curves S(t). The gradient echo signal equation was used to standardize scale S(t) to values of FA = 10° and TR = 5.5 ms, and obtain the standardized DCE-MRI signal Sp(t). Relative signal enhancement was calculated from Sp, and the reference tissue method for T1 calculation was used to standardize to gadodiamide as the contrast agent, obtaining . in the first 6 minutes post-contrast administration was fit to a linear model with the slope α denoting the standardized rate relative BPE.
ResultsChanges in α were not found to be significantly correlated with the average duration of tamoxifen treatment, age at the initiation of preventative treatment, or pre-treatment BIRADS breast density category. The average change in α showed a large effect size of -1.12, significantly higher than -0.86 observed without signal standardization (p < 0.01).
ConclusionLinear modeling of BPE in standardized DCEMRI can provide quantitative measurements of BPE rates, improving sensitivity to changes due to tamoxifen treatment.
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A Survey on the Machine Learning Techniques for Automated Diagnosis from Ultrasound Images
Authors: Kumar Mohit, Rajeev Gupta and Basant KumarMedical diagnostic systems has recently been very popular and reliable because of possible automatic detections. The machine learning algorithm is evolved as a core tool of computer-aided diagnosis (CAD) for automatic early and accurate disease detections. The algorithm follows region of interest (ROI) selection followed by specific feature extractions and selection from medical images. The selected features are then fed to suitable classifiers for disease identification. The machine learning algorithm's performance depends on the features selected and the classifiers employed for the job. This paper reviews different feature extraction selection and classification techniques for CAD from ultrasound images. Ultrasonography (USG), due to its portability and its non-invasive nature, is the prime choice of doctors for prescribing as an imaging test. A survey on the USG imaging based on four major diseases is performed in this paper, whose diagnosis followed by automatic detection. Various techniques applied for feature extraction, selection, and classification by different authors to achieve improved accuracy are tabulated. For medical images, we found texture based gray-level extracted features and SVM (support vector machine) classifiers to be more significant in improving classification accuracy, even achieving 100% accuracy in many research articles. However, many research articles also suggest the importance of student’s t-test in improving classification accuracy by selecting significant features from extracted features. The proposed algorithm's accuracy also depends on the quality of medical images, which are frequently degraded by the introduction of noise and artifacts while imaging acquisition. So, challenges in denoising are added in this paper as a separate topic to highlight the role of the machine learning algorithm in removing noise and artifacts from the USG images.
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Infiltrating Metastatic Ductal Carcinoma Initially Presenting as Axillary Lymph Node Metastases Diagnosed with PET/CT and MRI: Case Report and Brief Review of Occult Breast Carcinoma
IntroductionThe concept of occult breast carcinoma (OBC) was first described in 1907 by Halsted, who described this type of breast cancer to arise from small, undetectable tumours in the breast that had already metastasized to the lymph nodes. Although the breast is the most likely site for the primary tumour, non-palpable breast cancer presenting as an axillary metastasis has been reported, but with a low frequency of less than 0.5% of all breast cancers. OBC represents a complex diagnostic and therapeutic dilemma. Considering its rarity, clinicopathological information is still limited.
Case ReportA 44-year-old patient presented to the emergency room with an extensive axillary mass as the first manifestation. Conventional evaluation of the breast with mammography and ultrasound was unremarkable. However, a breast MRI confirmed the presence of conglomerate axillary nodes. A supplementary whole-body PET-CT established the axillary conglomerate with a malignant behaviour with SUVmax of 19.3. The primary tumour was not detected in the breast tissue of the patient, confirming the diagnosis of OBC. Immunohistochemical results showed positive receptors for estrogen and progesterone.
ConclusionAlthough OBC is a rare diagnosis, its existence is a possibility in a patient with breast cancer. Mammography and breast ultrasound with unremarkable findings but with high clinical suspicion should be supplemented with additional imaging methods, such as MRI and PET-CT, emphasizing the appropriate pre-treatment evaluation.
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18F-Fluorodeoxyglucose PET/CT and MRI Imaging Characteristics of Monomorphic Epitheliotropic Intestinal T-cell Lymphoma: A Case Report
Authors: Xiaoying Zhang, Simin Liu, Ying Liu, Zhongwei Lv and Jianshe YangBackgroundMonomorphic epitheliotropic intestinal T-cell lymphoma (MEITL) is a rare, rapidly progressive, primary intestinal T-cell lymphoma. The most common site of occurrence is on the small intestine. The prognosis of MEITL is extremely poor due to delayed diagnosis and lack of targeted therapy.
Case SummaryA case of MEITL involving the entire small bowel, part of the colon, rectum, mesenteric lymph nodes, and liver is herein reported. We are presenting the 18F-FDG PET/CT features of MEITL, which showed all involved lesions with increased FDG activity. The MRI and pathological characteristics of MEITL were also described. Furthermore, some malignant diseases and benign diseases should be considered in the differential diagnosis.
ConclusionBased on the lesions with a high accumulation of FDG, our case shows the involved extent of MEITL, which is helpful for biopsy and treatment option decisions. We expect more could know about this disease and make an early diagnosis to improve the outcomes of MEITL.
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Disease Quantification of Liver Lymphoma in CT Images without Lesion Segmentation
Authors: Kexin Li, Xinwang Huang, Chunxue Sun, Qiancheng Xie and Shijie CongAimThis study aimed to automatically implement liver disease quantification (DQ) in lymphoma using CT images without lesion segmentation.
BackgroundComputed Tomography (CT) imaging manifestations of liver lymphoma include diffuse infiltration, blurred boundaries, vascular drift signs, and multiple lesions, making liver lymphoma segmentation extremely challenging.
MethodsThe method includes two steps: liver recognition and liver disease quantification. We use the transfer learning technique to recognize the diseased livers automatically and delineate the livers manually using the CAVASS software. When the liver is recognized, liver disease quantification is performed using the disease map model. We test our method in 10 patients with liver lymphoma. A random grouping cross-validation strategy is used to evaluate the quantification accuracy of the manual and automatic methods, with reference to the ground truth.
ResultsWe split the 10 subjects into two groups based on lesion size. The average accuracy for the total lesion burden (TLB) quantification is 91.76% ± 0.093 for the group with large lesions and 95.57% ± 0.032 for the group with small lesions using the manual organ (MO) method. An accuracy of 85.44% ± 0.146 for the group with larger lesions and 81.94% ± 0.206 for the small lesion group is obtained using the automatic organ (AO) method, with reference to the ground truth.
ConclusionOur DQ-MO and DQ-AO methods show good performance for varied lymphoma morphologies, from homogeneous to heterogeneous, and from single to multiple lesions in one subject. Our method can also be extended to CT images of other organs in the abdomen for disease quantification, such as Kidney, Spleen and Gallbladder.
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Feasibility Study of Combining Wall Shear Stress and Elastography to Assess the Vascular Status of Carotid Artery
Authors: Wenjing Gao, Yinghui Dong, Shaofu Hong, Di Song, Mengmeng Liu, Zhanghong Wei, Yigang Du, Shuangshuang Li, Jinfeng Xu and Fajin DongIntroductionAt present, early detection of the potential risk of atherosclerosis and prevention is of great significance to reduce the occurrence of stroke.
AimThis study aims to explore the value of combining the wall shear stress measured by ultrasound vector flow imaging technique and sound touch elastography of common carotid artery in normal adults using the Mindray Resona 7 ultrasound system.
MethodsForty volunteers (mean age 39.5 y, 23 females, 17 males) were divided into four groups according to their age. All volunteers underwent ultrasound carotid artery examination, and the values of wall shear stress and elasticity on the posterior wall of the common carotid artery were measured using advanced imaging functions, vector flow imaging technique, and sound touch elastography.
ResultsDifferent cut-off values of wall shear stress were used to investigate the significance between two groups with corresponding sound touch elastography values. It can be seen that the statistical difference could be found when the mean wall shear stress was larger than 1.5 Pa approximately (statistical significance was defined when P < 0.05), and the sound touch elastography value was positively correlated with the wall shear stress value.
ConclusionThis study reveals that the combination of wall shear stress and sound touch elastography is an effective and feasible method for assessing carotid artery health. When the mean wall shear stress value is over 1.5 Pa, the corresponding sound touch elastography value increases significantly. The risk of atherosclerosis increases with the stiffness of blood vessel walls.
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Effectiveness of the Neuroimaging Techniques in the Recognition of Psychiatric Disorders: A Systematic Review and Meta-analysis of RCTs
More LessBackgroundNeuroimaging has helped us learn about the stages of brain development from infancy to maturity. Neuroimaging helps physicians diagnose mental illnesses and find novel treatments for them. It can distinguish depression from neurodegenerative diseases or brain tumors, and it can reveal structural defects that cause psychosis. Psychosis has been linked to lesions in the frontal or temporal lobes of the brain, as well as the thalamus and hypothalamus, which can be detected using a brain scan for mental illnesses. Neuroimaging uses quantitative and computational methods to explore the central nervous system. It can detect brain injuries and psychological illnesses. Thus, a systematic review and meta-analysis of randomized controlled trials using neuroimaging to detect psychiatric disorders assessed their efficacy and benefits.
Materials and MethodsAppropriate articles were searched from PubMed, MEDLINE, and CENTRAL databases using the appropriate keywords as per the PRISMA guidelines. Randomized controlled trials and open-label studies were included as per the predefined PICOS criteria. Meta-analysis was performed using the RevMan software, and statistical parameters like odds ratio and risk difference were calculated.
ResultsTwelve randomized controlled clinical trials with a total of 655 psychiatric patients were included following the criteria from the year 2000 to 2022. We included studies that use different neuroimaging techniques for the detection of organic brain lesions that would help diagnose psychiatric disorders. The primary outcome was detecting brain abnormalities in diverse psychiatric illnesses with neuroimaging versus conventional methods. We found the odds ratio value of 2.29 (95% CI 1.49-3.51). The results were heterogeneous with a Tau2 value of 0.38, chi2 value of 35.48, df value of 11, I2 value of 69%, the z value of 3.78, and p-value less than 0.05. The risk difference is 0.20 (95% CI 0.09 -0.31) with heterogeneity of Tau2 value of 0.03, chi2 value of 50, df value of 11, I2 value of 78%, the z value of 3.49, and p-value less than 0.05.
ConclusionThe present meta-analysis strongly recommends the use of neuroimaging techniques for the detection of psychiatric disorders.
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Non-functional Adrenocortical Carcinoma in the Wall of the Small Bowel
Authors: Shu-juan Lin, Yan Gao and Chun-juan SunBackgroundExtra-adrenal non-functional adrenocortical carcinoma (ACC)is an extremely rare tumor with only eight cases having been reported at different localizations.
Case PresentationA 60-year-old woman was presented to our hospital with abdominal pain. Magnetic resonance imaging revealed a solitary mass abutting the wall of the small bowel. She underwent resection of the mass, and the results of histopathology and immunohistochemistry were consistent with ACC.
ConclusionWe report the first occurrence of non-functional adrenocortical carcinoma in the wall of the small bowel in the literature. Magnetic resonance examination is sensitive enough to indicate the accurate location of the tumor and is of great help to clinical operation.
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Three Different Faces of Schwannoma in Pediatric Patients
Authors: Merve Yazol, Betul Emine Derinkuyu and Oznur BoyunağaBackgroundSchwannomas arise from nerve sheaths of cranial, peripheral, and spinal nerve or nerve roots. Most intracranial schwannomas arise from the cranial nerves, predominantly the vestibulocochlear nerve. In addition to cranial nerve schwannomas, intraparenchymal schwannomas of the brain and intramedullary schwannomas of the spinal cord are extremely rare.
Case ReportIn our case we describe the imaging findings of three diverse cases of schwannoma at different locations and unique presentations with acute neurological symptoms in the pediatric age group.
ConclusionSchwannomas should be included in the differential diagnosis of intracranial or intraspinal intramedullary space-occupying lesions in pediatric patients.
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Atypical Cytotoxic Lesion and Hemorrhagic Involvement of the Corpus Callosum in Severe COVID-19 Infection
Introduction/BackgroundThe COVID-19 pandemic has resulted in a large number of deaths and has caused a significant increase in population morbidity. This viral infection has been associated with different neurological symptoms and complications that do not have a clear pathophysiological mechanism and exact implications for these patients.
Case PresentationA 40-year-old man with COVID-19 and co-infection with Klebsiella pneumoniae KPC presented extensive pulmonary involvement and required comprehensive management in the intensive care unit (ICU). During his hospitalization, he developed neurological symptoms with evidence of involvement of the corpus callosum, which was attributed to the cytotoxic lesion of the corpus callosum (CLOCC). After several months of interdisciplinary management in the ICU, there was a progressive improvement in his general condition, with discharge from the hospital without significant sequelae, with follow-up images showing complete involvement of the corpus callosum due to what was considered an atypical cytotoxic lesion of the corpus callosum.
ConclusionImaging features of CLOCCs are known to be temporary, but in the setting of COVID-19, it has not yet been determined if this is true and further studies are needed. Nonetheless, the one-year follow-up of our patient makes us believe that this atypical involvement of the corpus callosum described in severe SARS-CoV-2 infections is not transitory, even if there are no neurologic sequelae.
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A Lightweight AMResNet Architecture with an Attention Mechanism for Diagnosing COVID-19
Authors: Qi Zhou, Jamal Alzobair Hammad Kowah, Huijun Li, Mingqing Yuan, Lihe Jiang and Xu LiuAimsCOVID-19 has become a worldwide epidemic disease and a new challenge for all mankind. The potential advantages of chest X-ray images on COVID-19 were discovered. We proposed a lightweight and effective Convolution Neural Network framework based on chest X-ray images for the diagnosis of COVID-19, named AMResNet.
BackgroundCOVID-19 has become a worldwide epidemic disease and a new challenge for all mankind. The potential advantages of chest X-ray images on COVID-19 were discovered.
ObjectiveA lightweight and effective Convolution Neural Network framework based on chest X-ray images for the diagnosis of COVID-19.
MethodsBy introducing the channel attention mechanism and image spatial information attention mechanism, a better level can be achieved without increasing the number of model parameters.
ResultsIn the collected data sets, we achieved an average accuracy rate of more than 92%, and the sensitivity and specificity of specific disease categories were also above 90%.
ConclusionThe convolution neural network framework can be used as a novel method for artificial intelligence to diagnose COVID-19 or other diseases based on medical images.
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Recent Applications of Deconvolution Microscopy in Medicine
By Kazuo KatohDeconvolution microscopy is a computational image-processing technique used in conjunction with fluorescence microscopy to increase the resolution and contrast of three-dimensional images. Fluorescence microscopy is a widely used technique in biology and medicine that involves labeling specific molecules or structures within a sample with fluorescent dyes and then electronically photographing the sample through a microscope. However, the resolution of conventional fluorescence microscopy is limited by diffraction within the microscope’s optical path, which causes blurring of the image and reduces the ability to resolve structures in close proximity with one another. Deconvolution microscopy overcomes this limitation by means of computer-based image processing whereby mathematical algorithms are used to eliminate the blurring caused by the microscope’s optics and thus obtain a higher-resolution image that reveals the fine details of the sample with greater accuracy. Deconvolution microscopy, which can be applied to a range of image acquisition modalities, including widefield, confocal, and super-resolution microscopy, has become an essential tool for studying the structure and function of biological systems at the cellular and molecular levels. In this perspective, the latest deconvolution techniques have been introduced and image-processing methods for medical purposes have been presented.
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Image Quality Improvement of Low-dose Abdominal CT using Deep Learning Image Reconstruction Compared with the Second Generation Iterative Reconstruction
Authors: Hyo-Jin Kang, Jeong Min Lee, Sae Jin Park, Sang Min Lee, Ijin Joo and Jeong Hee YoonBackgroundWhether deep learning-based CT reconstruction could improve lesion conspicuity on abdominal CT when the radiation dose is reduced is controversial.
ObjectivesTo determine whether DLIR can provide better image quality and reduce radiation dose in contrast-enhanced abdominal CT compared with the second generation of adaptive statistical iterative reconstruction (ASiR-V).
AimsThis study aims to determine whether deep-learning image reconstruction (DLIR) can improve image quality.
MethodsIn this retrospective study, a total of 102 patients were included, who underwent abdominal CT using a DLIR-equipped 256-row scanner and routine CT of the same protocol on the same vendor's 64-row scanner within four months. The CT data from the 256-row scanner were reconstructed into ASiR-V with three blending levels (AV30, AV60, and AV100), and DLIR images with three strength levels (DLIR-L, DLIR-M, and DLIR-H). The routine CT data were reconstructed into AV30, AV60, and AV100. The contrast-to-noise ratio (CNR) of the liver, overall image quality, subjective noise, lesion conspicuity, and plasticity in the portal venous phase (PVP) of ASiR-V from both scanners and DLIR were compared.
ResultsThe mean effective radiation dose of PVP of the 256-row scanner was significantly lower than that of the routine CT (6.3±2.0 mSv vs. 2.4±0.6 mSv; p< 0.001). The mean CNR, image quality, subjective noise, and lesion conspicuity of ASiR-V images of the 256-row scanner were significantly lower than those of ASiR-V images at the same blending factor of routine CT, but significantly improved with DLIR algorithms. DLIR-H showed higher CNR, better image quality, and subjective noise than AV30 from routine CT, whereas plasticity was significantly better for AV30.
ConclusionDLIR can be used for improving image quality and reducing radiation dose in abdominal CT, compared with ASIR-V.
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Ultrasonographic Evaluation of Normal Liver, Spleen, and Kidney Dimensions in a Healthy Turkish Community of Over 18 Years Old
Authors: Şaban Tiryaki and Yusuf AksuBackground/AimsThe dimensions of the liver, spleen, and kidneys either change in primary diseases related to these organs or in secondary diseases that indirectly affect them, such as diseases of the cardiovascular system. Therefore, we aimed to investigate the normal dimensions of the liver, kidneys, and spleen and their correlations with body mass index in healthy Turkish adults.
Materials and MethodsA total of 1,918 adults older than 18 years of age underwent ultrasonographic (USG) examinations. Participants’ age, sex, height, weight, BMI, liver, spleen, and kidney dimensions, biochemistry and haemogram results were recorded. The relationships between organ measurements and these parameters were examined.
ResultsA total of 1,918 patients participated in the study. Of these, 987 (51.5%) were female and 931 (48.5%) were male. The mean age of the patients was 40.74± 15.95 years. The liver length (LL) for men was found to be greater than that for women. The effect of the sex factor on the LL value was statistically significant (p = 0.000). The difference between men and women in terms of liver depth (LD) was statistically significant (p=0.004). The difference between BMI groups in terms of splenic length (SL) was not statistically significant (p=0.583). The difference between BMI groups in terms of splenic thickness (ST) was statistically significant (p=0.016).
ConclusionWe obtained the mean normal standard values of the liver, spleen, and kidneys in a healthy Turkish adult population. Consequently, values exceeding those in our findings will guide clinicians in the diagnosis of organomegaly and will contribute to filling the gap in this regard.
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Volumes & issues
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Volume 20 (2024)
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Volume 19 (2023)
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Volume 18 (2022)
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Volume 17 (2021)
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Volume 16 (2020)
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Volume 15 (2019)
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Volume 14 (2018)
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Volume 13 (2017)
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Volume 12 (2016)
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Volume 11 (2015)
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Volume 10 (2014)
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Volume 9 (2013)
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Volume 8 (2012)
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Volume 7 (2011)
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Volume 6 (2010)
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Volume 5 (2009)
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Volume 4 (2008)
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Volume 3 (2007)
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Volume 2 (2006)
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Volume 1 (2005)