Diagnostic Magnetic Resonance Imaging Research Articles

AI tool for predicting MGMT methylation in glioblastoma for clinical decision support in resource limited settings.

Glioblastoma is an aggressive brain cancer with a poor prognosis. The O6-methylguanine-DNA methyltransferase (MGMT) gene methylation status is crucial for treatment stratification, yet economic constraints often limit access. This study aims to develop an artificial intelligence (AI) framework for predicting MGMT methylation. Diagnostic magnetic resonance (MR) images in public repositories were used for training. The algorithm created was validated in data from a single institution. All images were segmented according to widely used guidelines for radiotherapy planning and combined with clinical evaluations from neuroradiology experts. Radiomic features and clinical impressions were extracted, tabulated, and used for modeling. Feature selection methods were used to identify relevant phenotypes. A total of 100 patients were used for training and 46 for validation. A total of 343 features were extracted. Eight feature selection methods produced seven independent predictive frameworks. The top-performing ML model was a model post-Least Absolute Shrinkage and Selection Operator (LASSO) feature selection reaching accuracy (ACC) of 0.82, an area under the curve (AUC) of 0.81, a recall of 0.75, and a precision of 0.75. This study demonstrates that integrating clinical and radiotherapy-derived AI-driven phenotypes can predict MGMT methylation. The framework addresses constraints that limit molecular diagnosis access.

Challenges in the diagnosis and management of soft tissue tumors of the oral cavity.

Soft tissue lesions are among the most prevalent forms of tumors or tumor-like alterations within the oral cavity. They exhibit a wide spectrum of characteristics, ranging from benign, noninvasive lesions to malignant tumors, which collectively present a diagnostic challenge. A 67-year-old patient presented with an incidental finding of induration on the right cheek during dental hygiene. The intraoral examination revealed a soft, non-tender swelling measuring 20 mm in diameter. The sensitivity and percussion tests for the teeth in the fourth quadrant yielded unremarkable results. Panoramic radiography (OPG) revealed tip-ping of the premolars and an unclear apical finding in region 44. Cone-beam computed tomography (CBCT) revealed a sharply defined, lobulated hypodense lesion in the right buccal area. To clarify the diagnosis and optimize perioperative management, a 3 Tesla dental magnetic resonance imaging (MRI) scan was performed. This identified a 23×6×23 mm lipoma along the right mandibular ramus, causing detachment of the buccinator and de-pressor anguli oris muscles. A cinematic rendering reconstruction derived from the MRI data facilitated enhanced visualization for preoperative planning. The surgical excision was performed under local anesthesia, resulting in the successful removal of the neoplasm while preserving the mental nerve and submandibular gland. Histo-pathology confirmed the presence of a lobulated mature cell lipoma. The patient exhibited no complications during the removal of the sutures, with complete wound healing and no recurrence observed. This article highlights the efficacy of advanced MRI diagnostics and post-processing techniques in the management of ambiguous soft tissue neoplasms.

Successfully intravenous thrombolytic therapy in systemic lupus erythematosus-related ischemic stroke: A case report.

Stroke is a relatively frequent complication occurring in patients with systemic lupus erythematosus (SLE). The increasing number of patients with Ischemic Stroke secondary to SLE aroused the clinician's concern. SLE thrombosis markers, diagnostic high-resolution magnetic resonance image (HR-MRI), and therapeutic interventions for acute ischemic stroke were recently coming into focus perspectives from the field. A 42-year-old female with slurred speech and numbness in her left limb was admitted to our hospital. Magnetic resonance imaging (MRI) revealed right thalamic infarction with diffusion-weighted lesions. Prior to admission, the patient had a National Institute of Health Stroke Scale (NIHSS) score of 3. In light of the clinical manifestation, the American Heart Association/American Stroke Association (AHA/ASA) Guidelines for Intravenous Thrombolysis in Acute Ischemic Stroke (2019) should be referred to. The patient was treated with thrombolytic alteplase (rt-PA). The patient was hospitalized for 2 weeks and discharged after his symptoms improved. After thrombolysis, the NIHSS score of the patient decreased to zero. The computed tomography scan was reexamined 24 hours later, and no acute changes or hemorrhage were identified in the infarcted area. Subsequent imaging and serological analyses indicated that HR-MRI of the responsible vessel was negative, but the infarction in this patient was still regarded as being caused by vasculitis of the right posterior cerebral artery in the region supplying the thalamus. This is the first case of successful intravenous thrombolytic therapy with rt-PA in a patient with SLE secondary to stroke with an NIHSS score of 3. This provides further evidence for expanding the reference of indications with rt-PA intravenous thrombolysis.

Diagnostic Efficacy of Five Different Imaging Modalities in the Assessment of Women Recalled at Breast Screening-A Systematic Review and Meta-Analysis.

There are variations in the assessment pathways for women recalled at screening, and the imaging assessment pathway with the best diagnostic outcome is poorly understood. This paper examines the efficacy of five imaging modalities for the assessment of screen-recalled breast lesions. Methods: The Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) strategy was employed to identify studies that assessed the efficacy of imaging modalities in the assessment of lesions recalled at screening from the following eight databases: Medline, Web of Science, Embase, Scopus, Science Direct, PubMed, CINAHL, and Global Health. Search terms included "Breast assessment" AND "Diagnostic Workup" OR "Mammography" AND "Digital Breast tomosynthesis" AND "contrast enhanced mammography and Magnetic Resonance imaging" AND "breast ultrasound". Studies that examined the performance of digital mammography (DM), digital breast tomosynthesis (DBT), handheld ultrasound (HHUS), contrast-enhanced mammography (CEM), and magnetic resonance imaging (MRI) in screen-recalled lesions were reviewed. Meta-analyses of these studies were conducted using the MetaDisc 2.0 software package. Results: Fifty-four studies met the inclusion criteria and examined between one and three imaging modalities. Pooled results of each imaging modality demonstrated that CEM has the highest sensitivity (95; 95% CI: 90-97) followed by MRI (93; 95% CI: 88-96), DBT (91; 95% CI: 87-94), HHUS (90; 95% CI: 86-93), and DM (85; 95% CI: 78-90). The DBT demonstrated the highest specificity (85; 95% CI: 75-91) followed by DM (77; 95% CI: 66-85), CEM (73; 95% CI: 63-81), MRI (69; 95% CI: 55-81), and HHUS (65; 95% CI: 46-80). Conclusions: The CEM, MRI, DBT, and HHUS demonstrate excellent performance in correctly identifying and classifying cancer lesions referred for diagnostic work-up, but HHUS, MRI, and CEM have a more limited ability to discriminate benign lesions than DBT and DM.

Utility of MRI in the Outpatient Evaluation of Patients With Chronic Continuous or Recurrent Dizziness.

This study aimed to assess the utility of magnetic resonance imaging (MRI) in outpatient evaluation of patients with chronic continuous or recurrent dizziness (CCRD) and determine whether certain patient characteristics, symptoms, or examination findings are associated with diagnostic MRI findings. Retrospective cohort study. Ambulatory center. 304 patients who received an MRI for CCRD. Diagnostic utility of MRI in patients with CCRD. MRI diagnostic findings in patients with CCRD and associated patient characteristics, symptoms, or examination findings. In this retrospective analysis, 304 patients who visited an outpatient clinic between 1998 and 2023 and underwent MRI for CCRD, without previously diagnosed neurological abnormalities, were examined. The study investigated the relationship between demographic characteristics, comorbidities, clinical symptoms, and examination findings with diagnostic MRI findings. Univariate analysis was used to identify factors predictive of diagnostic MRI findings. Out of 304 patients, 11 (3.6%; 95% confidence interval [CI], 1.5-5.72%) had diagnostic MRI findings. The most common diagnostic finding (36.4%) was brain metastasis, seen only in patients with previously diagnosed metastatic cancer. Univariate analysis revealed that hypertension (p = 0.004, likelihood ratio [LR] = 2.51), hyperlipidemia (p = 0.004, LR = 2.91), and cancer (p = 0.021, LR = 2.96) were significantly associated with diagnostic MRI findings. Incidental findings were observed in 73 patients (24%; 95% CI, 19.2-28.8%). Outside of cancer patients, six (2.3%; 95% CI, 1.1-5.0%) had diagnostic MRI findings. In our study, MRI rarely displayed diagnostic findings in patients with CCRD and normal neurologic examination. However, individuals with hypertension, hyperlipidemia, or cancer were significantly more likely to display positive MRI findings. It is essential to carefully consider the need for MRI when assessing patients with CCRD.

Revisiting Peripartum Cardiomyopathy: A Case Report and Review

Peripartum cardiomyopathy (PPCM) is a rare and idiopathic disease characterized by left ventricular dilation and systolic dysfunction, that occurs late in pregnancy or during the postpartum period. Diagnosis is typically achieved through transthoracic echocardiography and cardiac magnetic resonance imaging (MRI). Management includes standard heart failure therapies such as beta-blockers, ACE inhibitors, and diuretics, with the addition of bromocriptine to target the prolactin pathway involved in PPCM pathophysiology. This report presents a case of a 31-year-old female with a history of acute lymphoblastic leukemia who, following an uncomplicated pregnancy, presented with acute heart failure symptoms. Initial evaluations suggested pulmonary embolism, but further diagnostic workup, including echocardiography and cardiac MRI, confirmed PPCM. The patient was treated with diuretics, ACE inhibitors, and beta blockers. Significant improvement was observed, with complete resolution and normal cardiac function at the 6-month follow-up.

Adult Thornwalt Cyst: A Rare Case Report.

Nasopharyngeal cysts are rare benign entity, smaller in size and usually asymptomatic. They are mostly diagnosed incidentally on MRI. Larger cysts commonly presents with spasmodic and obstructive symptoms. Thornwaldt cysts are congenital cysts originating from the mid- line of the nasopharynx just above the upper border of the superior constrictor muscle. They represent primitive communication between notochord remnants and the pharyngeal endoderm. We report this case because of its unique presentation in a 35year old male. Patient presented with nasal blockage, nasal discharge, snoring, ear pain and aural fullness, intermittent neck pain and neck stiffness. Preoperative evaluation included diagnostic nasal endoscopy (DNE) and Magnetic resonance imaging (MRI-scan). A large cystic mass of size 2.8cm × 3cm was diagnosed on DNE and MRI. Transnasal Marsupialisation and excision of the cyst was planned using powered instruments. Post operatively, patient noticed marked improvement in the obstructive symptoms. Regular follow up was done 6 monthly for 2years. No recurrence was noted on DNE. Although a rare pathology in adulthood, it should be kept as a differential diagnosis for cervical pain and neck stiffness.

Typical and Emerging Diagnostic MRI Features in Multiple Sclerosis.

Magnetic resonance imaging (MRI) stands as the most sensitive paraclinical technique for detecting the demyelinating lesions characteristic of multiple sclerosis (MS). Consequently, MRI plays a pivotal role in establishing an accurate and timely diagnosis of the disease, ultimately based on the application of the McDonald criteria. Early diagnosis is particularly important as it facilitates the prompt initiation of disease-modifying treatments, deemed most effective during the initial phases of MS. This review article examines the recommended standardized MRI protocol, as well as the classic imaging features of MS in the brain, optic nerve, and spinal cord, capable of discriminating, in most cases, MS from other disorders that can mimic this disease. Additionally, novel MR imaging findings, such as the central vein sign and paramagnetic rim lesion, which have been proposed as new imaging biomarkers to enhance diagnostic specificity for MS, are also discussed. These emerging features are likely to be incorporated in the future iterations of the McDonald criteria, and therefore, radiologists should be familiar with their appearance and with the optimal MRI protocols required for their detection.

Magnetic Resonance Imaging Signs of Idiopathic Intracranial Hypertension

The magnetic resonance imaging (MRI) criteria currently used to diagnose idiopathic intracranial hypertension (IIH) are based on expert opinion and have limited accuracy. Additional neuroimaging signs have been proposed and used with contradictory results; thus, prospective evidence is needed to improve diagnostic accuracy. To provide evidence-based, accurate MRI signs for IIH diagnosis. This prospective cohort study was conducted from January 2018 to May 2021 with 3 validation cohorts at 2 Danish headache centers and with 3 independent international cohorts. Consecutive patients with suspected IIH were enrolled. Eligibility required the clinical suspicion of IIH, age 18 years or older, and written informed consent. The validation cohorts comprised patients with confirmed IIH from Austria and the US, and patients without IIH from the US. Data analysis was performed from December 2021 to August 2023. Standardized diagnostic workup was performed to classify cases according to current criteria, and blinded evaluation of cerebral radiological diagnostics and papilledema was performed. The primary outcomes were MRI signs associated with IIH as assessed by univariate analyses. An MRI score estimating papilledema was calculated using machine learning. Internal validation of associations with lumbar puncture opening pressure and outcome and external validation of accuracy were performed in 3 cohorts. Of 192 eligible patients (185 women [96.4%]; median [IQR] age, 28.0 [23.0-35.0] years), 110 were classified as having IIH, 4 as having probable IIH, and 1 as having suspected IIH without papilledema; 77 did not have IIH and served as controls, with corresponding age, sex, and weight. Papilledema at diagnosis was associated with perioptic subarachnoid space distension (56 patients [68.3%] vs 21 patients [41.2%]), posterior globe flattening (53 patients [66.3%] vs 10 patients [21.3%]), optic nerve disc protrusion (35 patients [30.4%] vs 2 patients [2.3%]), and transverse sinus venous stenosis (75 patients [79.8%] vs 29 patients [46.8%]). The papilledema-estimating MRI score showed optimal balance between sensitivity (49%) and specificity (87%) when 2 of the 3 latter signs were present and was associated with the lumbar puncture opening pressure and ophthalmological outcome. The score showed strong diagnostic accuracy in the external validation cohorts (587 patients; area under the receiver operating characteristic curve, 0.86) and outperformed the current (2013) diagnostic MRI criteria. The findings of this cohort study of patients with IIH and controls suggest that an evidence-based MRI score including posterior globe flattening, optic nerve disc protrusion, and transverse sinus stenosis can estimate the presence of papilledema more accurately than the current diagnostic criteria.

An Observational Study of Various Risk Factors and Etiological Profile in Patients with Lower Back Pain at Tertiary Care Center.

The study aimed to analyze the risk factors and etiological profile of lower back pain (LBP) among patients attending a neurology outpatient department at a tertiary care center. A cross-sectional observational study was conducted, involving 170 patients, aged over 18, presenting with LBP between March and August 2023. Sociodemographic and lifestyle data were collected, and diagnostic investigations, including X-ray and magnetic resonance imaging (MRI), were performed. Patients were categorized into acute and chronic LBP groups for analysis. Age-acute LBP was more prevalent in younger patients (<35 years), while chronic LBP was predominant in older age-groups (≥55 years). Gender-females showed a higher prevalence of LBP compared to males, with chronic LBP more common among females. Triggering events-heavy weightlifting was a significant trigger for chronic LBP, while coughing/sneezing was common in acute LBP. Occupation-patients with physically exerting jobs were more prone to acute LBP, while chronic LBP was prevalent among homemakers and those with no work. Body mass index (BMI)-obesity and overweight were associated with chronic LBP. Medication-chronic LBP patients were more likely to be on medication compared to acute LBP patients. MRI findings-prolapsed intervertebral disk (PIVD) was the most prevalent etiology, more common in chronic LBP patients. Other etiologies included vertebral fracture, tumor, tuberculosis, and various spinal conditions. Lower back pain is a multifaceted condition influenced by age, gender, BMI, and lifestyle factors. Effective management and prevention strategies should consider these risk factors to improve patients' quality of life. A comprehensive approach is essential to address the complex etiology of LBP.

Research into super-resolution in medical imaging from 2000 to 2023: bibliometric analysis and visualization.

Super-resolution (SR) refers to the use of hardware or software methods to enhance the resolution of low-resolution (LR) images and produce high-resolution (HR) images. SR is applied frequently across a variety of medical imaging contexts, particularly in the enhancement of neuroimaging, with specific techniques including SR microscopy-used for diagnostic biomarkers-and functional magnetic resonance imaging (fMRI)-a neuroimaging method for the measurement and mapping of brain activity. This bibliometric analysis of the literature related to SR in medical imaging was conducted to identify the global trends in this field, and visualization via graphs was completed to offer insights into future research prospects. In order to perform a bibliometric analysis of the SR literature, this study sourced all publications from the Web of Science Core Collection (WoSCC) database published from January 1, 2000, to October 11, 2023. A total of 3,262 articles on SR in medical imaging were evaluated. VOSviewer was used to perform co-occurrence and co-authorship analysis, and network visualization of the literature data, including author, journal, publication year, institution, and keywords, was completed. From 2000 to 2023, the annual publication volume surged from 13 to 366. The top three journals in this field in terms of publication volume were as follows: (I) Scientific Reports (86 publications), (II) IEEE Transactions on Medical Imaging (74 publications), and (III) IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control (56 publications). The most prolific country, institution, and author were the United States (1,017 publications; 31,301 citations), the Chinese Academy of Sciences (124 publications; 2,758 citations), and Dinggang Shen (20 publications; 671 citations), respectively. A cluster analysis of the top 100 keywords was conducted, which revealed the presence of five co-occurrence clusters: (I) SR and artificial intelligence (AI) for medical image enhancement, (II) SR and inverse problem processing concepts for positron emission tomography (PET) image processing, (III) SR ultrasound through microbubbles, (IV) SR microscopy for Alzheimer and Parkinson diseases, and (V) SR in brain fMRI: rapid acquisition and precise imaging. The most recent high-frequency keywords were deep learning (DL), magnetic resonance imaging (MRI), and convolutional neural networks (CNNs). Over the past two decades, the output of publications by countries, institutions, and authors in the field of SR in medical imaging has steadily increased. Based on bibliometric analysis of international trends, the resurgence of SR in medical imaging has been facilitated by advancements in AI. The increasing need for multi-center and multi-modal medical images has further incentivized global collaboration, leading to the diverse research paths in SR medical imaging among prominent scientists.

Optimizing Advanced Imaging of the Pediatric Patient in the Emergency Department: Technical Report.

Advanced diagnostic imaging modalities, including ultrasonography, computed tomography, and magnetic resonance imaging, are key components in the evaluation and management of pediatric patients presenting to the emergency department. Advances in imaging technology have led to the availability of faster and more accurate tools to improve patient care. Notwithstanding these advances, it is important for physicians, physician assistants, and nurse practitioners to understand the risks and limitations associated with advanced imaging in children and to limit imaging studies that are considered low value, when possible. This technical report provides a summary of imaging strategies for specific conditions where advanced imaging is commonly considered in the emergency department. As an accompaniment to the policy statement, this document provides resources and strategies to optimize advanced imaging, including clinical decision support mechanisms, teleradiology, shared decision-making, and rationale for deferred imaging for patients who will be transferred for definitive care.

Optimizing Advanced Imaging of the Pediatric Patient in the Emergency Department: Technical Report

Advanced diagnostic imaging modalities, including ultrasonography, computed tomography, and magnetic resonance imaging (MRI), are key components in the evaluation and management of pediatric patients presenting to the emergency department. Advances in imaging technology have led to the availability of faster and more accurate tools to improve patient care. Notwithstanding these advances, it is important for physicians, physician assistants, and nurse practitioners to understand the risks and limitations associated with advanced imaging in children and to limit imaging studies that are considered low value, when possible. This technical report provides a summary of imaging strategies for specific conditions where advanced imaging is commonly considered in the emergency department. As an accompaniment to the policy statement, this document provides resources and strategies to optimize advanced imaging, including clinical decision support mechanisms, teleradiology, shared decision-making, and rationale for deferred imaging for patients who will be transferred for definitive care.

IMG-02. USING MRI RADIOMICS AND MACHINE LEARNING TO PREDICT OVERALL SURVIVAL FOR PEDIATRIC DIFFUSE MIDLINE GLIOMAS

Abstract BACKGROUND Pediatric diffuse midline gliomas (DMG) are aggressive central nervous system tumors with a median overall survival (OS) of less than one year from diagnosis. There is no curative therapy for DMG, and radiation therapy (RT) is the standard treatment. Magnetic resonance imaging (MRI) is the common noninvasive tool for DMG diagnosis and monitoring of tumor response to therapy. We developed an automatic pipeline to segment subregions of DMG and select MRI features that predict patient OS. METHODS We acquired diagnostic and post-RT multisequence MRI (T1, T1ce, T2, T2 FLAIR) and manual segmentations of pediatric DMG patients from two centers: 53 from Children’s National Hospital (internal) and 16 from Children’s Hospital of Philadelphia (external). We pretrained a deep learning model on a public adult brain tumor dataset, and finetuned the model to segment tumor core (TC) and whole tumor (WT) of DMG. We used PyRadiomics and sequential feature selection to select discriminative features based on the segmented volumes. Two machine learning models were trained on our internal cohort to predict patient 1-year survival from diagnosis. One model used only diagnostic tumor features and the other used both diagnostic and post-RT features. RESULTS For segmentation, Dice score (mean [median]±SD) was 0.91 (0.94)±0.12 and 0.74 (0.83)±0.32 for TC, and 0.88 (0.91)±0.07 and 0.86 (0.89)±0.06 for WT for internal and external cohorts, respectively. For OS prediction, accuracy was 77% and 81% at time of diagnosis, and 85% and 78% post-RT for internal and external cohorts, respectively. Heterogeneous WT intensity in baseline T2 FLAIR and smaller post-RT TC/WT volume ratio indicate longer OS. CONCLUSIONS Our method accurately predict OS for DMG patients and can be extended to other rare pediatric brain tumors. With automated and standardized analysis, early prognostication of OS can guide patient risk stratification and clinical decisions.

Comparison of Magnetic Resonance Imaging with Electrodiagnosis in the Evaluation of Clinical Suspicion of Lumbosacral Radiculopathy.

(1) Background: The diagnosis of lumbosacral radiculopathy involves anamnesis, an assessment of sensitivity and strength, diagnostic imaging-usually magnetic resonance imaging (MRI)-and electrodiagnostic testing (EDX), typically electromyography (EMG), and electroneurography (ENG). MRI evaluates the structures supporting the spinal cord, while EDX evaluates root functionality. The present study aimed to analyze the concordance of MRI and EDX findings in patients with clinically suspected radiculopathy. Additionally, we investigated the comparison between these two reference tests and various clinical variables and questionnaires. (2) Methods: We designed a prospective epidemiological study of consecutive cases with an observational, descriptive, cross-sectional, and double-blind nature following the STROBE guidelines, encompassing 142 patients with clinical suspicion of lumbosacral radiculopathy. (3) Results: Of the sample, 58.5% tested positive for radiculopathy using EDX as the reference test, while 45.8% tested positive using MRI. The comparison between MRI and EDX in the diagnosis of radiculopathy in patients with clinical suspicion was not significant; the overall agreement was 40.8%. Only the years with symptoms were comparatively significant between the positive and negative radiculopathy groups as determined by EDX. (4) Conclusion: The comparison between lumbar radiculopathy diagnoses in patients with clinically suspected pathology using MRI and EDX as diagnostic modalities did not yield statistically significant findings. MRI and EDX are complementary tests assessing different aspects in patients with suspected radiculopathy; degeneration of the structures supporting the spinal cord does not necessarily imply root dysfunction.

Diagnostic pathway and management of first seizures in infants with Sturge-Weber syndrome.

Sturge-Weber syndrome (SWS) is a rare neurocutaneous syndrome, frequently associated with pharmaco-resistant, early-onset epilepsy. Optimal seizure control is paramount to maximize neurodevelopment. A single-centre case series of 49 infants explored early SWS care. Ninety-two per cent of children developed seizures aged 0 to 3 years; 55% of cases were before diagnostic magnetic resonance imaging (MRI) or tertiary referral. Delay in SWS diagnosis affected 31% of infants because of a lack of gadolinium enhancement for initial MRI. First seizures were frequently prolonged, with phenytoin administration necessary in 46%. Presymptomatic antiseizure medication prophylaxis (n = 8/49) decreased seizure burden. No patients on antiseizure medication prophylaxis suffered status epilepticus for longer than 30 minutes, and half of them (n = 4) had not developed seizures at last follow-up (aged 2-10 years). A parental survey enabled further service evaluation. Eighty-three per cent of parents considered local clinicians' understanding of SWS inadequate: 61% felt insufficiently informed about SWS and 81% received no epilepsy education before seizures. To overcome the identified shortfalls, guidelines towards improving and standardizing SWS management are proposed.

Comparative study of two diagnostic methods, ultrasound and Magnetic Resonance Imaging in measurement of the angle and depth of trochlear groove

Comparative study of two diagnostic methods, ultrasound and Magnetic Resonance Imaging in measurement of the angle and depth of trochlear groove

CYSTIC INGUINAL LYNFHANGIOMA IN ADULT FEMALE

Abstract Background To present a clinical case of cystic inguinal lymphangioma in an adult female, an atypical site and age of presentation. Method A 42-year-old woman was referred for consultation due to persistent pain and swelling in the right inguinal region, with initial suspicion of inguinal hernia. A mobile, irreducible mass without protrusion during the Valsalva maneuver was identified. Faced with diagnostic uncertainty, inguinal ultrasound and magnetic resonance imaging were requested, revealing a cystic lesion indicative of cystic inguinal lymphangioma. Results Elective surgery was decided. A right inguinal incision revealed a cystic tumor extending along the inguinal canal from the labium majus to the preperitoneal space. Complete excision was performed, requiring section of the round ligament. Subsequently, closure of the deep inguinal ring was conducted, with the conjoint tendon approximated to the inguinal ligament using a continuous suture of slowly absorbable monofilament. Hernioplasty with self-adhesive polypropylene mesh was employed to repair the inguinal defect. The procedure was carried out in the ambulatory major surgery program. At the one-month post-surgery follow-up, the patient exhibited satisfactory recovery with no signs of clinical recurrence. Histopathological examination of the surgical specimen confirmed the diagnosis of cystic inguinal lymphangioma, with no additional pathological findings. Conclusion Cystic lymphangioma is a benign and uncommon malformation of the lymphatic system. It should be considered in cases of inguinal masses with progressive growth whose examination is not consistent with an inguinal hernia. Ultrasound is the imaging test of choice, with definitive diagnosis confirmed by histopathology. Surgery with complete resection is recommended due to the risk of recurrence.

Applying the German S2k-Guideline for Diagnosis and Treatment of Spondylodiscitis-A 5-Year Retrospective Evaluation of Patients without Neurological Symptoms.

Spondylodiscitis is a rather rare condition with an annual incidence of 1-7 per 100,000. Thus, empirical data on the treatment of this disease are limited. In 2020, the first German guideline for the diagnosis and treatment of spondylodiscitis was published. In a 5-year retrospective analysis, we examined the patient collective, the current diagnosis and treatment strategy, and the effect of Magnetic Resonance Imaging (MRI) diagnostics on therapeutic decisions of a consecutive monocentric cohort of 66 patients without neurological symptoms. The majority of the patients were male (55%) with a mean age of 74 years. Non-operative therapy was found to be associated with short-term treatment success in 54 (82%) of the patients. In 12 patients, who underwent surgical therapy, MRI diagnostics and clinical findings were equally important for the decision to perform a surgery. Patients treated operatively stayed for an average of 33.6 (±12.9) days in the hospital and thus significantly longer than non-operatively treated patients with 22.2 (±8.0) days. The in-house standard of care did not essentially deviate from the guideline's recommendations. Future research should address early detection of the need for surgical therapy, and immediate anti-infective treatment appropriate to the detected pathogen.

Stretchable Sensor Materials Applicable to Radiofrequency Coil Design in Magnetic Resonance Imaging: A Review.

Wearable sensors are rapidly gaining influence in the diagnostics, monitoring, and treatment of disease, thereby improving patient outcomes. In this review, we aim to explore how these advances can be applied to magnetic resonance imaging (MRI). We begin by (i) introducing limitations in current flexible/stretchable RF coils and then move to the broader field of flexible sensor technology to identify translatable technologies. To this goal, we discuss (ii) emerging materials currently used for sensor substrates, (iii) stretchable conductive materials, (iv) pairing and matching of conductors with substrates, and (v) implementation of lumped elements such as capacitors. Applicable (vi) fabrication methods are presented, and the review concludes with a brief commentary on (vii) the implementation of the discussed sensor technologies in MRI coil applications. The main takeaway of our research is that a large body of work has led to exciting new sensor innovations allowing for stretchable wearables, but further exploration of materials and manufacturing techniques remains necessary, especially when applied to MRI diagnostics.