MRI Examination Research Articles

Clinical-functional correlation with brain volumetry in severe perinatal asphyxia: a case report

BackgroundHypoxic-ischemic encephalopathy (HIE) appears in neurological conditions where some brain areas are likely to be injured, such as deep grey matter, basal ganglia area, and white matter subcortical periventricular áreas. Moreover, modeling these brain areas in a newborn is challenging due to significant variability in the intensities associated with HIE conditions. This paper aims to evaluate functional measurements and 3D machine learning models of a given HIE case by correlating the affected brain areas with the pathophysiology and clinical neurodevelopmental.Case presentationA comprehensive analysis of a term infant with perinatal asphyxia using longitudinal 3D brain information from Machine Learning Models is presented. The clinical analysis revealed the perinatal asphyxia diagnosis with APGAR <5 at 5 and 10 minutes, umbilical arterial pH of 7.0 BE of -21.2 mmol / L), neonatal seizures, and invasive ventilation mechanics. Therapeutic interventions: physical, occupational, and language neurodevelopmental therapies. Epilepsy treatment: vagus nerve stimulation, levetiracetam, and phenobarbital. Furthermore, the 3D analysis showed how the volume decreases due to age, exhibiting an increasing asymmetry between hemispheres. The results of the basal ganglia area showed that thalamus asymmetry, caudate, and putamen increase over time while globus pallidus decreases. Clinical outcomes: spastic cerebral palsy, microcephaly, treatment-refractory epilepsy.ConclusionsSlight changes in the basal ganglia and cerebellum require 3D volumetry for detection, as standard MRI examinations cannot fully reveal their complex shape variations. Quantifying these subtle neurodevelopmental changes helps in understanding their clinical implications. Besides, neurophysiological evaluations can boost neuroplasticity in children with neurological sequelae by stimulating new neuronal connections.

Serial case report: Radiological images of congenital sensorineural hearing loss patients with and without hypoplasia of the vestibulocochlear nerve

Background: Congenital Sensorineural Hearing Loss (SNHL) is a hearing loss caused by damage to the inner ear (cochlea), vestibulocochlear cranial nerve (N.VIII), or the innervation pathway from the inner ear to the brain that is acquired from birth. If hearing loss occurs from birth or before the period of speech development is not detected. Thus, this case report compares two patients with congenital sensorineural hearing loss with and without vestibulocochlear nerve hypoplasia. Case Description: The first case was a 4-year-old girl with the main complaint of not hearing and responding to calls since the age of 1.5 years. Temporal CT scan and MRI results did not show existing organ and structural abnormalities, so suspected retro-cochlear auditory neuropathy. Patients undergo the installation of a cochlear implant in the left ear with good results. Case second, a 3-year-old girl with Down Syndrome who has not been able to speak since birth. CT scan results showed left and right basal cochlea 1.5 turns and bilateral jugular notch dehiscence, while MRI results showed vestibulocochlear nerve hypoplasia, narrowing of the IAC opening width 1.5 turns cochlea. If this happens, a cochlear implant cannot be done because abnormality finding is a contraindication operation. Conclusion: CT-scan and MRI examination are necessary to evaluate the structures and organs in the outer, middle and inner ear because the presence or absence of structural abnormalities found in the patient will significantly impact further management.

Dural Sac Cross-sectional area change from preoperatively and up to 2 years after decompressive surgery for central lumbar spinal stenosis: investigation of operated levels, data from the NORDSTEN study.

The aim of the present study was to investigate how canal area size changed from before surgery and up to 2 years after decompressive lumbar surgery lumbar spinal stenosis. Further, to investigate if an area change postoperatively (between 3 months to 2 years) was associated with any preoperative demographic, clinical or MRI variables or surgical method used. The present study is analysis of data from the NORDSTEN- SST trial where 437 patients were randomized to one of three mini-invasive surgical methods for lumbar spinal stenosis. The patients underwent MRI examination of the lumbar spine before surgery, and 3 and 24 months after surgery. For all operated segments the dural sac cross-sectional area (DSCA) was measured in mm2. Baseline factors collected included age, gender, BMI and smoking habits. Furthermore, surgical method, index level, number of levels operated, all levels operated on and baseline Schizas grade were also included in the analysis. 437 patients were enrolled in the NORDSTEN-SST trial, whereof 310 (71%) had MRI at 3 months and 2 years. Mean DSCA at index level was 52.0mm2 (SD 21.2) at baseline, at 3 months it increased to 117.2mm2 (SD 43.0) and after 2 years the area was 127.7mm2 (SD 52.5). Surgical method, level operated on or Schizas did not influence change in DSCA from 3 to 24 months follow-up. The spinal canal area after lumbar decompressive surgery for lumbar spinal stenosis increased from baseline to 3 months after surgery and remained thereafter unchanged 2 years postoperatively.

Non-contrast MRI and post-mastectomy silicone breast implant rupture: preventing false positive diagnoses.

Breast implants are not lifelong, with implant rupture being the third leading cause of revisional surgery in augmented women. Noncontrast MRI is a reliable tool to assess implant integrity; however, false positive and false negative diagnoses have been reported due to an incorrect interpretation of MRI signs. This study aims to investigate the incidence of these misleading results, comparing MRI findings with intraoperative surgical observations and exploring signs of nonunivocal interpretation. Between March 2019 and October 2022, our hospital, a referral center for breast cancer care, conducted 139 breast MRI examinations to evaluate implant integrity. Surgical intervention was deemed necessary for patients diagnosed with suspected or confirmed implant rupture at MRI. Those patients who did not undergo any surgical procedure (63 cases) or had surgery at different institutes (11 cases) were excluded. Among the 65 patients who underwent preoperative MRI and subsequent surgery at our institute, surgical findings confirmed the preoperative MRI diagnosis in 48 women. Notably, 17 women exhibited a discordance between MRI and surgical findings: three false negatives, 11 false positives and three possible ruptures not confirmed. Signs of nonunivocal or misleading interpretation were assessed on a patient-by-patient basis. The importance of obtaining detailed information about a patient's breast implant, including fill materials, number of lumens, manufacturer and shape, proved immensely beneficial for interpreting MRI signs accurately. Pre-MRI knowledge of implant details and a meticulous evaluation of non-univocal signs can aid radiologists in accurately assessing implant integrity, reducing the risk of unnecessary revisional surgeries, and potentially averting allegations of medical malpractice.

Clinical characteristics, diagnosis and treatment of nasal cartilage mesenchymal hamartoma in infants

Objective: To explore the clinical characteristics, pathological features, and diagnosis and treatment strategies of nasal chondromesenchymal hamartoma (NCMH) in infants and young children. Methods: A retrospective analysis was conducted on seven cases of NCMH infants and young children admitted to Beijing Children's Hospital, Capital Medical University from April 2015 to January 2022. The cohort included 5 males and 2 females, aged from 6 days to 2 years and 3 months. General information, clinical symptoms, imaging findings, treatment plans, postoperative complications, recurrence and follow-up time were collected, summarized and analyzed. Additionally, immunohistochemical characteristics of the lesion were examined. Results: The clinical symptoms of 7 children included nasal congestion, runny nose, open mouth breathing, snoring during sleep, difficulty feeding, and strabismus. All patients underwent electronic nasopharyngoscopy examination, with 5 cases of tumors located in the right nasal cavity and 2 cases in the left nasal cavity. No case of bilateral nasal cavity disease was found. All 7 patients underwent complete imaging examinations, with 5 patients underwent MRI and CT examinations, 1 patient underwent CT examination only, and 1 patient underwent MRI examination only. The CT results showed that all tumors were broad-based, with uneven density, multiple calcifications and bone remodeling, and some exhibited multiple cystic components. The MRI results showed that the tumor showed low signal on T1 weighted imaging and high or slightly high signal on T2 weighted imaging. All patients were diagnosed through histopathological examination and immunohistochemistry, including 7 cases of Ki-67 and SMA (+), 5 cases of S-100 and Vimentin (+), and all EMA and GFAP were negative. All patients underwent endoscopic resection surgery through the nasal approach, with 3 cases using navigation technology. Five cases of tumors were completely removed, and two cases of tumors were mostly removed. No nasal packing was performed after surgery, and no postoperative nasal, ocular, or intracranial complication occurred in all patients. Follow up assessments conducted 6 to 84 months post-surgery revealed no instances of tumor recurrence in any of the patients. Conclusions: The clinical symptoms of children with NCHM mainly depend on the size and location of the tumor. Nasal endoscopic surgery is the main treatment method. In cases where critical structures like the skull base or orbit are implicated, staged surgical interventions may be warranted. Long-term follow-up is strongly advised to monitor for any potential recurrence or complications.

Assessment of a multivariable model using MRI-radiomics, age and sex for the classification of hepatocellular adenoma subtypes

ObjectivesNon-invasive subtyping of hepatocellular adenomas (HCA) remains challenging for several subtypes, thus carrying different levels of risks and management. The goal of this study is to devise a multivariable diagnostic model based on basic clinical features (age and sex) combined with MRI-radiomics and to evaluate its diagnostic performance. MethodsThis single-center retrospective case-control study included all consecutive patients with HCA identified within the pathological database from our institution from January 2003 to April 2018 with MRI examination (T2, T1-no injection/injection-arterial-portal); volumes of interest were manually delineated in adenomas and 38 textural features were extracted (LIFEx, v5.10). Qualitative (i.e., visual on MRI) and automatic (computer-assisted) analysis were compared. The prognostic scores of a multivariable diagnostic model based on basic clinical features (age and sex) combined with MRI-radiomics (tumor volume and texture features) were assessed using a cross-validated Random Forest algorithm. ResultsVia visual MR-analysis, HCA subgroups could be classified with balanced accuracies of 80.8 % (I-HCA or ß-I-HCA, the two being indistinguishable), 81.8 % (H-HCA) and 74.4 % (sh-HCA or ß-HCA also indistinguishable). Using a model including age, sex, volume and texture variables, HCA subgroups were predicted (multivariate classification) with an averaged balanced accuracy of 58.6 %, best=73.8 % (sh-HCA) and 71.9 % (ß-HCA). I-HCA and ß-I-HCA could be also distinguished (binary classification) with a balanced accuracy of 73 %. ConclusionMultiple HCA subtyping could be improved using machine-learning algorithms including two clinical features, i.e., age and sex, combined with MRI-radiomics. Future HCA studies enrolling more patients will further test the validity of the model.

Patellar osteochondritis dissecans:maturation-dependent patellofemoral joint characteristics.

The likelihood of healing of osteochondritis dissecans decreases with skeletal maturity and there are theories that abnormal biomechanical forces contribute to the development and progression of these lesions. To characterize, according to regional skeletal maturity, the morphology and alignment indices of the patellofemoral joint on MRI in patients with patellar osteochondritis dissecans. MRI examinations of patients with patellar osteochondritis dissecans obtained between January 2008 and May 2023 were retrospectively reviewed to determine regional skeletal maturity, osteochondritis dissecans lesion size and location, patellar and trochlear morphology (Wiberg/Dejour classifications), and to calculate trochlear sulcus angles, trochlear depth index, lateral trochlear inclination, Insall-Salvati index, Caton-Deschamps index, patellar tendon-lateral trochlear ridge, and tibial tubercle-trochlear groove distances. Values were compared between skeletally immature and mature groups. Sixty-eight children (22 girls, 46 boys, age: 14.0 ± 1.7 years) yielded 74 knees with patellar osteochondritis dissecans lesions, 14 (19%) of which were skeletally mature. The most common anatomic location was over the central patella [median ridge (34/74 - 46%) on the axial images and over the middle third (45/74 - 61%) on the sagittal images]. Overall, mean trochlear sulcus angle (high, 151 ± 11°), trochlear depth index (low, 2.8 ± 1.4mm), and Insall-Salvati index (borderline, 1.3 ± 0.1) were abnormal for the entire sample. Skeletally mature knees were significantly more likely to have higher (more dysplastic) Dejour types whencompared to skeletally immature knees (p < 0.01). Knees in the mature group, compared to immature, had significantly more abnormal mean lateral trochlear inclination (15 ± 8° vs. 19 ± 6°, p = 0.03) and patellar tendon-lateral trochlear ridge distance (5.55 ± 4.31mm vs. 2.89 ± 4.69mm, p = 0.04). Half of the knees had ≥ 4 abnormal features that predispose to patellofemoral maltracking; mature knees weresignificantly (p = 0.02) more likely to have a higher number of abnormal features (> 6 features, 7/14, 50.0%) versus immature knees (0-3 features, 33/60, 55.0%). In children with patellar osteochondritis dissecans, abnormal patellofemoral morphology and alignment indices were common in all patients and more severe in mature knees.

Body composition analysis by radiological imaging - methods, applications, and prospects.

This review discusses the quantitative assessment of tissue composition in the human body (body composition, BC) using radiological methods. Such analyses are gaining importance, in particular, for oncological and metabolic problems. The aim is to present the different methods and definitions in this field to a radiological readership in order to facilitate application and dissemination of BC methods. The main focus is on radiological cross-sectional imaging. The review is based on a recent literature search in the US National Library of Medicine catalog (pubmed.gov) using appropriate search terms (body composition, obesity, sarcopenia, osteopenia in conjunction with imaging and radiology, respectively), as well as our own work and experience, particularly with MRI- and CT-based analyses of abdominal fat compartments and muscle groups. Key post-processing methods such as segmentation of tomographic datasets are now well established and used in numerous clinical disciplines, including bariatric surgery. Validated reference values are required for a reliable assessment of radiological measures, such as fatty liver or muscle. Artificial intelligence approaches (deep learning) already enable the automated segmentation of different tissues and compartments so that the extensive datasets can be processed in a time-efficient manner - in the case of so-called opportunistic screening, even retrospectively from diagnostic examinations. The availability of analysis tools and suitable datasets for AI training is considered a limitation. · Radiological imaging methods are increasingly used to determine body composition (BC).. · BC parameters are usually quantitative and well reproducible.. · CT image data from routine clinical examinations can be used retrospectively for BC analysis.. · Prospectively, MRI examinations can be used to determine organ-specific BC parameters.. · Automated and in-depth analysis methods (deep learning or radiomics) appear to become important in the future.. · Linder N, Denecke T, Busse H. Body composition analysis by radiological imaging - methods, applications, and prospects. Fortschr Röntgenstr 2024; 196: 1046 - 1054.

Brain and cognitive changes in patients with long COVID compared with infection-recovered control subjects.

Between 2.5% and 28% of people infected with SARS-CoV-2 suffer long COVID or persistence of symptoms for months after acute illness. Many symptoms are neurological, but the brain changes underlying the neuropsychological impairments remain unclear. This study aimed to provide a detailed description of the cognitive profile, the pattern of brain alterations in long COVID and the potential association between them. To address these objectives, 83 patients with persistent neurological symptoms after COVID-19 were recruited, and 22 now healthy control subjects chosen because they had suffered COVID-19 but did not experience persistent neurological symptoms. Patients and controls were matched for age, sex and educational level. All participants were assessed by clinical interview, comprehensive standardized neuropsychological tests and structural MRI. The mean global cognitive function of patients with long COVID assessed by Addenbrooke's Cognitive Examination-III screening test [overall cognitive level (OCLz) = -0.39 ± 0.12] was significantly below the infection recovered-controls (OCLz = +0.32 ± 0.16, P < 0.01). We observed that 48% of patients with long COVID had episodic memory deficit, with 27% also with impaired overall cognitive function, especially attention, working memory, processing speed and verbal fluency. The MRI examination included grey matter morphometry and whole brain structural connectivity analysis. Compared to infection recovered controls, patients had thinner cortex in a specific cluster centred on the left posterior superior temporal gyrus. In addition, lower fractional anisotropy and higher radial diffusivity were observed in widespread areas of the patients' cerebral white matter relative to these controls. Correlations between cognitive status and brain abnormalities revealed a relationship between altered connectivity of white matter regions and impairments of episodic memory, overall cognitive function, attention and verbal fluency. This study shows that patients with neurological long COVID suffer brain changes, especially in several white matter areas, and these are associated with impairments of specific cognitive functions.

Convolutional neural network denoising technique on MRI examination using parallel imaging grappa (Generalized autocalibrating partial parallel acquisition): A study on axial brain MRI T2 fat saturation flair

Convolutional neural network denoising technique on MRI examination using parallel imaging grappa (Generalized autocalibrating partial parallel acquisition): A study on axial brain MRI T2 fat saturation flair

T1 Pre- and Post-contrast Delta Histogram Parameters in Predicting the Grade of Meningioma and Their Relationship to Ki-67 Proliferation Index

ObjectiveTo explore the feasibility of delta histogram parameters (including absolute delta histogram parameters (AdHP) and relative delta histogram parameters (RdHP)) in predicting the grade of meningioma and to further investigate whether delta histogram parameters correlate with the Ki-67 proliferation index. MethodsNinety-two patients with meningioma who underwent MRI examination (including T1-weighted (T1) and contrast-enhanced T1-weighted images (T1C)) were enrolled in this retrospective study. A total of 46 low-grade cases formed the low-grade group (grade 1, LGM), and a total of 46 high-grade cases formed the high-grade group (38 grade 2, 8 grade 3, HGM). Histogram parameters (HP) of T1 and T1C were extracted. Subsequently, morphological MRI features, AdHP (AdHP=T1CHP-T1HP), and RdHP (RdHP=(T1CHP-T1HP)/T1HP) were recorded and compared, respectively. Binary logistic regression analysis was used to obtain combined performance of the significant parameters. Diagnostic performance was identified by ROC. Spearman’s correlation coefficients were taken to assess the relationship between delta histogram parameters and the Ki-67 proliferation index. ResultsIn morphological MRI features, HGM is more prone to lobulation and necrosis/cystic changes (all p<0.05). In delta histogram parameters, HGM exhibits higher mean, Perc.01, Perc.25, Perc.50, Perc.75, Perc.99, SD, and variance of AdHP, maximum, mean, Perc.25, Perc.50, Perc.75, and Perc.99 of RdHP, compared with LGM (all p<0.00357). The optimal predictive performance was obtained by combining morphological MRI features and delta histogram parameters with an AUC of 0.945. Significant correlations were observed between significant delta histogram parameters and the Ki-67 proliferation index (all p<0.05). ConclusionDelta histogram parameter is a promising potential biomarker, which may be helpful in noninvasive predicting the grade and proliferative activity of meningioma.

Improved optic nerve visualization and treatment planning through a dedicated optic nerve MRI protocol.

This study describes an innovative optic nerve MRI protocol for better delineating optic nerve anatomy from neighboring pathology. Twenty-two patients undergoing MRI examination of the optic nerve with the dedicated protocol were identified and included for analysis of imaging, surgical strategy, and outcomes. T2-weighted and fat-suppressed T1-weighted gadolinium-enhanced images were acquired perpendicular and parallel to the long axis of the optic nerve to achieve en face and in-line views along the course of the nerve. Dedicated optic nerve MRI sequences provided enhanced visualization of the nerve, CSF within the nerve sheath, and local pathology. Optic nerve sequences leveraged the "CSF ring" within the optic nerve sheath to create contrast between pathology and normal tissue, highlighting areas of compression. Tumor was readily tracked along the longitudinal axis of the nerve by images obtained parallel to the nerve. The findings augmented treatment planning. The authors present a dedicated optic nerve MRI protocol that is simple to use and affords improved cross-sectional and longitudinal visualization of the nerve, surrounding CSF, and pathology. This improved visualization enhances radiological evaluation and treatment planning for optic nerve lesions.

Radiological and clinical biomarkers in patients with central post stroke pain

Background. Central post-stroke pain (CPSP) occurs following cerebrovascular accidents and is a neuropathic pain syndrome that is characterized by stimulation-independent pain; shooting, burning, or electric shock-like sensation and paresthesia. Multiple pathogenetic theories have been proposed for the CPSP including disinhibition, central sensitization, thalamic changes, and altered function of spinothalamic tract (STT). Investigations such as MRI DTI can help to understand the pathogenesis of CPSP. Objective. To determine the radiological and clinical biomarkers in cases with CPSP. Methods. This case-control study was retrospectively conducted upon 60 persons divided into 20 CPSP cases (group 1), 20 cases with no CPSP (group 2) and 20 healthy controls (group 3). All subjects had Routine MRI and complete neurological examination including “Sensory testing but stroke patients were evaluated by quantitative assessment of neuropathic pain, the National Institutes of Health Stroke Scale (NIHSS), Ashworth scale, Modified Rankin Scale (MRS) and Hamilton depression rating scale (HAM-D scale). Results. Significant differences existed among studied groups as regard motor examination, sensory examination, NIHSS score and Hamilton depression score. A non-significant difference was detected among the groups regarding MRS findings. A significant difference existed between groups 1 and 2, between groups 1 and 3 while no significant difference was detected between groups 2 and 3 for all FA readings and all ADC readings in ipsilateral affected side assessed at internal capsule, midbrain, and pons. No significant difference existed between groups 1 and 2, between groups 1 and 3 and between groups 2 and 3 as regard FA readings and ADC readings in contralateral side assessed at internal capsule, midbrain, and pons. Conclusion. Our study highlighted the significance of white matter tracts (WMT) other than the conventional pain pathways in CPSP and can thus serve as a predictive marker for CPSP onset or a prognostic marker after any drug therapy or neuromodulatory treatment.

Small vessel disease and cognitive reserve oppositely modulate global network redundancy and cognitive function: A study in middle-to-old aged community participants.

Cerebral small vessel disease (SVD) can disrupt the global brain network and lead to cognitive impairment. Conversely, cognitive reserve (CR) can improve one's cognitive ability to handle damaging effects like SVD, partly by optimizing the brain network's organization. Understanding how SVD and CR collectively influence brain networks could be instrumental in preventing cognitive impairment. Recently, brain redundancy has emerged as a critical network protective metric, providing a nuanced perspective of changes in network organization. However, it remains unclear how SVD and CR affect global redundancy and subsequently cognitive function. Here, we included 121 community-dwelling participants who underwent neuropsychological assessments and a multimodal MRI examination. We visually examined common SVD imaging markers and assessed lifespan CR using the Cognitive Reserve Index Questionnaire. We quantified the global redundancy index (RI) based on the dynamic functional connectome. We then conducted multiple linear regressions to explore the specific cognitive domains related to RI and the associations of RI with SVD and CR. We also conducted mediation analyses to explore whether RI mediated the relationships between SVD, CR, and cognition. We found negative correlations of RI with the presence of microbleeds (MBs) and the SVD total score, and a positive correlation of RI with leisure activity-related CR (CRI-leisure). RI was positively correlated with memory and fully mediated the relationships between the MBs, CRI-leisure, and memory. Our study highlights the potential benefits of promoting leisure activities and keeping brain redundancy for memory preservation in older adults, especially those with SVD.

THE ROLE OF DIFFUSION-WEIGHTED IMAGING IN THE DIFFERENTIAL DIAGNOSIS OF LIVER LESIONS

Introduction: Diffusion-weighted imaging [DWI] plays a significant role in distinguishing liver lesions. This study focuses on the significance of apparent diffusion coefficient [ADC] values in distinguishing between benign and malignant liver lesions.&#x0D; Methods: A retrospective evaluation was conducted on patients who underwent liver MRI examinations at our clinic, and 378 liver lesions were found. The study comprised 141 women, 80 men, and 221 patients with liver lesions. The measured ADC values between benign and malignant lesions were compared. In addition, the lesion ADC value/CSF ADC value ratio was measured, and the relative ADC value was named.&#x0D; Results: 118 hemangiomas, 59 simple cysts, 67 hydatid cysts, 3 focal nodular hyperplasias, 9 abscesses, 28 hepatocellular carcinomas, 88 metastases, and 6 lymphomas were evaluated. Simple cysts and hemangiomas had the most elevated ADC values compared to all other liver lesions. The ADC values for liver lesions classified as benign had a mean of 2.10 x 10-3 mm2/s, while malignant ones had a lower mean of 0.75 x 10-3 mm2/s. The ADC values of malignant liver lesions were lower compared to the benign lesions.&#x0D; Conclusion: Using DWI combined with ADC values could be valuable in discerning between benign and malignant liver lesions. Besides, relative ADC values may also contribute to more objective results.

Supervised contrastive learning enhances graph convolutional networks for predicting neurodevelopmental deficits in very preterm infants using brain structural connectome

Very preterm (VPT) infants (born at less than 32 weeks gestational age) are at high risk for various adverse neurodevelopmental deficits. Unfortunately, most of these deficits cannot be accurately diagnosed until the age of 2-5 years old. Given the benefits of early interventions, accurate diagnosis and prediction soon after birth are urgently needed for VPT infants. Previous studies have applied deep learning models to learn the brain structural connectome (SC) to predict neurodevelopmental deficits in the preterm population. However, none of these models are specifically designed for graph-structured data, and thus may potentially miss certain topological information conveyed in the brain SC. In this study, we aim to develop deep learning models to learn the SC acquired at term-equivalent age for early prediction of neurodevelopmental deficits at 2 years corrected age in VPT infants. We directly treated the brain SC as a graph, and applied graph convolutional network (GCN) models to capture complex topological information of the SC. In addition, we applied the supervised contrastive learning (SCL) technique to mitigate the effects of the data scarcity problem, and enable robust training of GCN models. We hypothesize that SCL will enhance GCN models for early prediction of neurodevelopmental deficits in VPT infants using the SC. We used a regional prospective cohort of ∼280 VPT infants who underwent MRI examinations at term-equivalent age from the Cincinnati Infant Neurodevelopment Early Prediction Study (CINEPS). These VPT infants completed neurodevelopmental assessment at 2 years corrected age to evaluate cognition, language, and motor skills. Using the SCL technique, the GCN model achieved mean areas under the receiver operating characteristic curve (AUCs) in the range of 0.72∼0.75 for predicting three neurodevelopmental deficits, outperforming several competing models. Our results support our hypothesis that the SCL technique is able to enhance the GCN model in our prediction tasks.

Development and in vivo biomechanics of goat mobile artificial lumbar spine complex

Mobile artificial lumbar complex (MALC) which suitable for reconstruction after subtotal lumbar resection in goats was developed,and to test stability of the complex and postoperative lumbar segmental motor function. Eighteen male boer goats aged from 1 to 2 years old (weighted from 35 to 45 kg) were selected and divided into control group,fusion group and non-fusion group,with 6 goats in each group. According to preoperative CT scans and MRI examinations of lumbar,the goat MALC was designed and performed by 3D printed for non-fusion group. Operation was performed on three groups respectively,and only vertebral body and disc were exposed in control group. In fusion group,L4 part of vertebral body and the upper and lower complete disc tissues were removed,and the lumbar spine bone plate fixation was performed with titanium mesh bone grafting. In non-fusion group,vertebral body and disc were removed in the same way,and MALC was implanted. AP and lateral X-rays of lumbar vertebrae in goat were taken at 6 months after surgery,in order to understand whether the plant was dislocated,displaced and fractured. Biomechanical tests were performed on the specimens by mechanical instrument to measure range of motion (ROM) of L2,3,L3,4,L4,5 intervertebral space and the overall ROM of L2-5 lumbar vertebrae. MALC of lumbar vertebra was designed by 3D printing,and its component artificial vertebrae and upper and lower artificial end plates were manufactured. The semi-spherical structure was fabricated by precision lathe using high-crosslinked polyethylene material,and the prosthesis was assembled. Postoperative AP and lateral X-rays of lumbar vertebra at 6 months showed the implant position of implant and MALC were good without displacement and dislocation. In vitro biomechanical test of lumbar vertebrae specimens:(1) There were no statistical significance in ROM of lumbar intervertebral space flexion and extension,lateral flexion and rotation on L3,4 and L4,5,between non-fusion group and control group (P>0.05),while ROM of fusion group was significantly reduced compared with the other two groups (P<0.05). There were no significant difference in ROM of L2,3 intervertebral flexion and extension,lateral flexion and rotation between non-fusion group and control group (P>0.05),while fusion group was significantly increased compared with the other two groups (P<0.001). (2) There was no significant difference in overall lumbar ROM of L2-5 (P> 0.05). The individual MALC could restore intervertebral height of lumbar vertebra while maintaining the stability of lumbar vertebra and re-establishing motor function of lumbar space.

Clinical manifestation and imaging diagnostic analysis of fat embolism syndrome

To explore characteristics of clinical and imaging findings in patients with fat embolism syndrome. From January 2021 to October 2022,clinical manifestations of 13 patients with fat embolism due to fracture or orthopaedic surgery were retrospectively analyzed,including 11 males and 2 females,aged from 17 to 60 years old. Mental and respiratory abnormalities and changes in vital signs occurred after admission or after surgery,and patient's chest and brain imaging results were abnormal. The patient's mental and respiratory abnormalities,vital signs,chest and brain imaging results were continuously monitored. The main clinical manifestations of fat embolism syndrome were abnormal pulmonary respiration in 13 patients,abnormal central nervous function in 7 patients,and spotted rash in 2 patients. Chest CT showed diffuse distribution of ground glass shadows in 13 patients,and severe symptoms were "snowstorm". Nine patients with ground glass fusion consolidation,5 patients with multiple nodules and 4 patients accompanied by bilateral pleural effusion. Head CT findings of 5 patients were negative,and head MRI findings of 1 patient showed multiple T1WI low signal,T2WI high signal shadow,DWI high signal shadow,and "starry sky sign" in basal ganglia,radiative crown,hemioval center,thalamus,frontal parietal cortex and subcortex. Fat embolism syndrome has a high mortality rate. Clinical manifestations of respiratory system and nervous system are not specific,and the skin spot rash has a characteristic manifestation. The "blizzard" sign is the specific manifestation of chest X-ray and CT examination of fat embolism,and the "starry sky" sign is the typical manifestation of diffusion-weighted sequence of brain MRI examination of fat embolism.

Abstract 7387: Fully automated segmentation and volumetric measurement of intracranial meningioma using deep learning

Abstract Most intracranial meningiomas are small, asymptomatic, and incidentally found tumors. Since the growth of meningioma is the principal indication of treatment, accurate and rapid measurement of the volume of intracranial meningiomas is essential in clinical practice to determine the growth rate of the tumor. It could be useful for the management of meningiomas given their increasing incidence and the wait-and-see policy currently in use for asymptomatic meningiomas. The aim of this study was to develop and validate a computational model for fully automated meningioma segmentation and volume measurement on contrast-enhanced MR scans using deep learning. The retrospectively collected axial contrast-enhanced T1-weighted section images from patients diagnosed with meningioma were manually segmented and used to construct automatic segmentation models with six U-Net- and nnU-Net-based architectures. The performance of each model was evaluated with the Sørensen-Dice similarity coefficient (DSC) with internal (IVS) and external validation sets (EVS), each consisting of 100 independent MRI examinations. A total of 12,909 section images from 459 patients were applied for the training (median age 58 [52-66] [IQR]; 385 women [83.9%]). The median tumor volume of the training set was 2.36 cm3. A 2D nnU-Net showed the highest median DSCs of 0.922 and 0.893 for the IVS and EVS, respectively. The nnU-Nets achieved superior performance in meningioma segmentation than the U-Nets. The DSCs of the 2D nnU-Net for small meningiomas less than 1 cm3 were 0.769 and 0.780 with the IVS and EVS, respectively. We successfully developed a fully automated and accurate volumetric measurement tool for meningioma using nnU-Net. The volumetry performance for small meningioma was significantly better than that achieved in previous studies. The results of this study are clinically applicable and are expected to be of great use in the management of monitored meningioma patients. Citation Format: Ho Kang, Joseph N. Witanto, Kevin Pratama, Doohee Lee, Kyu Sung Choi, Seung Hong Choi, Min-Sung Kim, Jin Wook Kim, Yong Hwy Kim, Sang Joon Park, Chul-Kee Park. Fully automated segmentation and volumetric measurement of intracranial meningioma using deep learning [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 7387.

Locoregional staging of breast cancer: contrast-enhanced mammography versus breast magnetic resonance imaging

PurposeBreast cancer diagnosis often involves assessing the locoregional spread of the disease through MRI, as multicentricity, multifocality and/or bilaterality are increasingly common. Contrast-enhanced mammography (CEM) is emerging as a potential alternative method. This study compares the performance of CEM and MRI in preoperative staging of women with confirmed breast carcinoma. Patients were also asked to fill in a satisfaction questionnaire to rate their comfort level with each investigation.MethodsFrom May 1st, 2021 to May 1st, 2022, we enrolled 70 women with confirmed breast carcinoma who were candidates for surgery. For pre-operative locoregional staging, all patients underwent CEM and MRI examination, which two radiologists evaluated blindly. We further investigated all suspicious locations for disease spread, identified by both CEM and MRI, with a second-look ultrasound (US) and eventual histological examination.ResultsIn our study cohort, MRI and CEM identified 114 and 102 areas of focal contrast enhancement, respectively. A true discrepancy between MRI and CEM occurred in 9 out of 70 patients examined. MRI reported 8 additional lesions that proved to be false positives on second-look US in 6 patients, while it identified 4 lesions that were not detected by CEM and were pathological (true positives) in 3 patients.ConclusionsCEM showed results comparable to MRI in the staging of breast cancer in our study population, with a high rate of patient acceptability.