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PubMed2026

Diagnostic criteria and severity assessment for syndesmosis injury using magnetic resonance imaging: A systematic review.

High ankle sprains involving syndesmosis injury present challenges in both diagnosis and severity assessment. Magnetic resonance imaging is widely regarded as the preferred modality for evaluating syndesmosis injury and related structural damage. This systematic review primarily examined the diagnostic utility of magnetic resonance imaging. Secondarily, it explores grading and prognostics of syndesmosis injuries with magnetic resonance imaging and identified possible imaging parameters predictive of injury severity. A comprehensive search of MEDLINE, Embase, CINAHL Complete, and Scopus was performed through February 12, 2025, following Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. Peer-reviewed human studies in English that used magnetic resonance imaging to assess syndesmosis injury were included. Excluded were review articles, case reports, abstract-only studies, and biomechanical or cadaveric investigations. Twenty-seven studies comprising 1931 ankles met inclusion criteria. Magnetic resonance imaging demonstrated high diagnostic accuracy for complete tears of the anterior and posterior inferior tibiofibular ligaments. Ancillary signs such as the ring-of-fire edema pattern, distal tibiofibular joint effusion, and widening of the distal joint space exhibited high specificity with variable sensitivity and may assist in grading injury severity. Magnetic resonance imaging in chronic syndesmosis injury primarily detects fibrotic scarring and post-injury changes. Evidence gaps remain regarding the parameters that best determine injury severity and indicate early surgical intervention in competitive athletes. Consolidating multiple magnetic resonance imaging findings into standardized diagnostic criteria may improve reliability and clinical decision-making.

Humans↗

PubMed2026

Human-AI Interaction With AI-Assisted Tumor Overlays in Pediatric Whole-Body Magnetic Resonance Imaging: Exploratory Reader Study.

BACKGROUND: AI tools have the potential to enhance personalized clinical care, particularly in radiology. However, their integration into clinical workflows remains complex, especially in pediatric oncology, where early cancer detection is critical. Children with Li-Fraumeni syndrome (LFS), a rare cancer predisposition disorder, undergo regular surveillance whole-body magnetic resonance imaging (wbMRI), which presents an opportunity for AI-assisted tumor detection. OBJECTIVE: We evaluated the feasibility of an AI-assisted overlay for highlighting tumor-like regions in pediatric surveillance wbMRI and explored how access to the overlay influenced radiologist workflow, candidate-lesion marking behavior, follow-up recommendations, and perceived workload. METHODS: We developed a patch-based AI segmentation model trained on augmented 2D slices from 675 surveillance wbMRI volumes of pediatric patients with LFS. The model was designed to highlight regions with high tumor probability. A reader study was conducted with 2 radiologists who independently reviewed wbMRI cases both with and without AI assistance. We measured evaluation time, number and location of reader-marked candidate lesions, type of follow-up recommendation, and subjective feedback using structured questionnaires. RESULTS: AI assistance altered interpretation workflows for both radiologists, with mixed effects. On average, the time required to evaluate each case increased when using the AI tool for both radiologists. However, one radiologist had an increase in the number of candidate lesion locations selected with the tool, and one had a decrease in the number of candidate lesion locations selected with the tool. Subjective feedback indicated that one of the radiologists reported lower mental demand with the AI tool, while both radiologists reported lower stress with the AI tool. Interrater variability was evident, underscoring the need for personalized calibration of AI tools. CONCLUSIONS: AI-assisted wbMRI interpretation can improve tumor detection in pediatric cancer surveillance by reducing false negatives. However, its influence on workflow efficiency and interradiologist variability highlights the importance of careful implementation. Successful integration requires addressing challenges such as improving the predictive precision of AI models, offering intuitive end-user designs and instructions, and building trust in AI outputs. AI outputs can influence workflow and behavior in reader-specific ways. Clinical translation will require larger, randomized, multireader studies and model refinement to reduce false positives and quantify lesion-level reader performance. This can help ensure better patient outcomes in addition to reduced clinician burnout.

Humans↗

PubMed2026

Understanding specificity in immune-brain pathways: A systematic review of differential associations between individual cytokines and brain structure and function measured through magnetic resonance imaging in humans.

Research shows that cytokines are associated with psychiatric disorders, including major depression, and multiple aspects of brain structure and function. Accumulating data suggest that different cytokines may have unique profiles of biological activity, particularly in their neuromodulatory roles, but it is currently unclear whether they have unique associations with specific neural circuits in humans. In this paper, we systematically review magnetic resonance imaging studies conducted with depressed or healthy control human participants under age 65 that examine associations between peripheral cytokines and brain structure and function, with the goal of evaluating evidence for the specificity of these cytokine-brain associations. We find that across multiple measures of brain structure and function, the majority of studies reviewed reported unique associations between individual cytokines and brain outcomes. A synthesis of findings across studies also suggests a preliminary hypothesis of specific associations of interleukin-6 levels in circulation with the default mode network and tumor necrosis factor-alpha with the salience network, which could be tested in future research. We conclude the review with future directions for research that can strengthen understanding of these associations.

Humans↗

PubMed2026

Optimizing prostate biopsy decision making - (MUSIC-screen): A 1:1 randomized controlled trial comparing micro-ultrasound versus multiparametric magnetic resonance imaging for prostate cancer diagnosis.

BACKGROUND: Micro-ultrasound (microUS) represents a potential alternative to multiparametric magnetic resonance (mpMRI) in guiding prostate biopsy, with level 1 evidence demonstrating non-inferiority to detect Grade Group ≥2 (GG ≥ 2) prostate cancer in biopsy-naïve men. However, a critical gap remains in the screening pathway, in which imaging is needed to identify men at risk and determine whether biopsy is warranted. METHODS: MUSIC-Screen is a phase 3, open-label, noninferiority 1:1 randomized controlled trial evaluating microUS as an alternative imaging compared to mpMRI for determining the need for prostate biopsy in biopsy- and imaging- naïve men at risk for GG ≥ 2. A total of 1284 men will be randomized to undergo either microUS or mpMRI. Men with PRI-MUS 3-5 or PI-RADS 3-5 lesion will undergo targeted and systematic biopsy. Men with negative imaging and PSA density ≥ 0.15 will undergo systematic biopsy, while those with PSA density < 0.15 will defer biopsy. RESULTS: The primary outcome is GG ≥ 2 detection in each study arm. The primary hypothesis is that microUS is non-inferior to mpMRI for screening and detection of GG ≥ 2. Secondary objectives include comparison of GG ≥ 2 detection rates in targeted cores among patients with PRI-MUS or PI-RADS scores of 3-5, proportion of men who defer biopsy but are diagnosed with GG ≥ 2 within 8 years, assessment of the negative predictive value of each imaging modality, and health economic analyses. CONCLUSION: MUSIC-Screen will determine whether microUS can be used as an imaging modality to inform biopsy decision making that is non-inferior to mpMRI for GG ≥ 2 prostate cancer detection. TRIAL REGISTRATION: ClinicalTrials.gov Identifier: NCT06626022.

Humans↗

PubMed1978

Display of cross sectional anatomy by nuclear magnetic resonance imaging.

High definition cross-sectional images produced by a new nuclear magnetic resonance (NMR) technique are shown. The images are a series of thin section scans in the coronal plane of the head of a rabbit. The NMR images are derived from the distribution of the density of mobile hydrogen atoms. Various tissue types can be distinguished and a clear registration of gross anatomy is demonstrated. No known hazards are associated with the technique.

Animals↗

PubMed2026

Examining the Relationship Between Physical Neglect, Inflammation and Anterior Cingulate Activation During Facial Emotion Recognition in Patients With Schizophrenia and Healthy Controls: A Functional Magnetic Resonance Imaging Study.

Physical neglect is associated with poorer cognitive functioning in patients with schizophrenia, including deficits in facial emotion recognition. Recent research by our group showed the relationship between physical neglect and facial emotion recognition is mediated by inflammation. While this mediation effect was observed at the level of behaviour, examining the relationship between physical neglect, inflammation and neural activation during facial emotion recognition would help confirm brain regions impacted and support behavioural findings, but these relationships are unclear. Two hundred twelve participants (52 patients with schizophrenia and 160 healthy controls) underwent functional magnetic resonance imaging while performing an established facial emotion recognition task and a subset completed the Childhood Trauma Questionnaire and provided blood samples outside of the scanner. Inflammation was measured using a latent variable that combined basal plasma levels of interleukin-6, tumour necrosis factor-alpha and C-reactive protein. The relationships between physical neglect, inflammation and neural activation were examined using multiple regression. Neither physical neglect nor inflammation predicted altered neural response during facial emotion recognition at p < 0.05, family-wise error corrected for multiple comparisons within an anterior cingulate region of interest, across the whole brain, in the whole sample or separately in patients or controls. Future research should examine relationships between physical neglect, inflammation and brain activation in larger samples, which may have sensitivity to detect smaller effects, and use tasks that require active recognition of emotions, in addition to passive viewing of faces, which might be associated with additional neural responses.

Humans↗

PubMed1979

Detection of breast tumors by nuclear magnetic resonance imaging.

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Breast Neoplasms↗

PubMed1979

In vivo tumor discrimination in a rat by proton nuclear magnetic resonance imaging.

Transverse cross-sectional images which represent the spatial distribution of the proton nuclear magnetic resonance signal in a live Wistar rat have been produced by the multiple-sensitive-point method. The images form a chronological series demonstrating the detection and development of a D23 hepatoma in the abdomen. Discrimination of the tumor is by contrast with the surrounding tissue and is attributed to the elevated water content and relaxation times of the former.

Abdominal Neoplasms↗

PubMed2026

Prenatal exome sequencing of fetuses with central nervous system anomalies based on prenatal ultrasound and magnetic resonance imaging diagnosis: A retrospective cohort study with a systematic review and meta-analysis.

INTRODUCTION: Fetal central nervous system (CNS) abnormalities have diverse etiologies, with genetic factors as a major contributor. Prenatal exome sequencing (ES) is a powerful tool for precise molecular diagnosis of CNS anomalies, but its diagnostic yield varies among studies. This study aimed to evaluate the additional diagnostic yield of prenatal ES compared with chromosomal microarray analysis (CMA) in fetuses with CNS anomalies detected by prenatal imaging. MATERIAL AND METHODS: We collected ES results from fetuses diagnosed with CNS anomalies by prenatal imaging (2019-2024) who had negative results. Subgroup analyses assessed phenotype-specific ES diagnostic yield for associated genes and variants. A systematic review and meta-analysis incorporating our data and published studies further explored the association between phenotype and diagnostic yield. RESULTS: In the cohort study of 219 cases, ES identified pathogenic/likely pathogenic single nucleotide variations in 36 cases (16%). The highest diagnostic yield of ES was in cases with multisystem malformations (25%, 14/55), followed by multiple CNS anomalies (15%, 2/13) and isolated CNS anomalies (13%, 20/151). The most commonly identified isolated CNS anomaly was agenesis of the corpus callosum (31%, 5/16). Neural tube defects with urogenital anomalies were associated with a positive ES finding in 57% (4/7) of cases. The meta-analysis of 989 cases from 22 studies showed a pooled diagnostic yield of ES of 27% (95% CI, 21%-34%). The highest diagnostic yield of ES was in cases of corpus callosum anomalies with facial abnormalities (75%, 8/11) and neural tube defects with urogenital malformations (80%, 12/15). The diagnostic yield of ES for three or more CNS abnormalities was 43% (95% CI, 31%-58%), significantly higher than that for only two abnormalities (10%, 95% CI, 4%-18%). No significant difference in diagnostic yield was found between cases identified by prenatal MRI combined with ultrasound (27%, 95% CI, 20%-36%) and those identified by ultrasound alone (25%, 95% CI, 17%-35%). CONCLUSIONS: ES provided a significantly higher diagnostic yield than CMA for fetal CNS abnormalities, with diagnostic yields varying by phenotype. The systematic review and meta-analysis confirmed that the complexity and combination of malformations are key factors associated with differences in ES diagnostic yield.

Humans↗

PubMed2025

Study Protocol for HeartMagic: A Prospective Observational Cohort Characterizing Subtypes of Heart Failure With Preserved Ejection Fraction.

BACKGROUND: Heart failure (HF) is a life-threatening syndrome with significant morbidity and mortality. Although evidence-based drug treatments have effectively reduced morbidity and mortality in HF with reduced ejection fraction (EF), few therapies have been demonstrated to improve outcomes in HF with preserved EF. This may be caused by the existence of several HF with preserved EF subtypes that each need different treatments. There is therefore an unmet need for a comprehensive approach to subtype patients with HF with preserved EF. This protocol details the approach employed in the HeartMagic (Heart Failure Studied With a Machine Learning, Genomics, and Imaging Combination) study to address this gap. METHODS: This prospective multicenter observational cohort study will include 500 consecutive patients with HF with preserved EF at 2 Swiss university hospitals, along with 50 age-matched patients with HF with reduced EF and 50 healthy controls. In addition to routine clinical workup, participants undergo genomic, transcriptomic, and metabolomic analyses, and the anatomy, composition, and function of the heart are quantified by comprehensive echocardiography and magnetic resonance imaging. Quantitative magnetic resonance imaging is also applied to characterize the kidney. The primary outcome is a composite of 1-year cardiovascular mortality or rehospitalization. Machine learning-based multimodal clustering will be employed to identify distinct HF with preserved EF subtypes. Statistical analysis will include group comparisons, survival analysis, and integrative multimodal clustering combining clinical, imaging, ECG, genomic, transcriptomic, and metabolomic data to identify and validate HF with preserved EF subtypes. CONCLUSIONS: The integration of comprehensive magnetic resonance imaging with extensive genomic and metabolomic profiling in this study will result in an unprecedented panoramic view of HF with preserved EF and help distinguish functional subgroups, which may provide a basis for personalized therapies.

Aged↗

PubMed2024

Histopathologic Features and Transcriptomic Signatures Do Not Solve the Issue of Magnetic Resonance Imaging-Invisible Prostate Cancers: A Matched-Pair Analysis.

BACKGROUND: Multiparametric magnetic resonance imaging (mpMRI) is pivotal in prostate cancer (PCa) diagnosis, but some clinically significant (cs) PCa remain undetected. This study aims to understand the pathological and molecular basis for csPCa visibility at mpMRI. METHODS: We performed a retrospective matched-pair cohort study, including patients undergoing radical prostatectomy (RP) for csPCa (i.e., ISUP grade group ≥ 2) from 2015 to 2020, in our tertiary-referral center. We screened for inclusion in the "mpMRI-invisible" cohort all consecutive men (N = 45) having a negative preoperative mpMRI. The "mpMRI-visible" cohort was matched based on age, PSA, prostate volume, ISUP grade group. Included patients underwent radiological and pathological open-label revisions and characterization of the tumor mRNA expression profile (analyzing 780 gene transcripts, signaling pathways, and cell-type profiling). We compared the clinical-pathological variables and the gene expression profile between matched pairs. The analysis was stratified according to histological characteristics and lesion diameter. RESULTS: We included 34 patients (17 per cohort); mean age at RP and PSA were 70.5 years (standard deviation [SD] = 7.7), 7.1 ng/mL (SD = 3.3), respectively; 65% of men were ISUP 2. Overall, no significant differences in histopathological features, tumor diameter and location, mRNA profile, pathways, and cell-type scores emerged between cohorts. In the stratified analysis, an upregulation of cell adhesion and motility, of extracellular matrix remodeling and of metastatic process pathways was present in specific subgroups of mpMRI-invisible cancers. CONCLUSIONS: No PCa pathological or gene-expression hallmarks explaining mp-MRI invisibility were identified. Aggressive features can be present both in mpMRI-invisible and -visible tumors.

Humans↗

PubMed2026

Brainstem Disconnection Syndrome in a Patient With Respiratory Failure and Failed Weaning From Oxygen: A Case Report.

BACKGROUND: Brainstem disconnection syndrome (BDS) is an exceedingly rare congenital malformation of the hindbrain characterized by disconnection of the brainstem, often presenting with severe neurological deficits and early neonatal mortality. Whereas previous cases have documented isolated neurological anomalies, this report delineates a distinctive presentation of BDS associated with a specific constellation of multisystem vascular and extracerebral skeletal malformations. CASE PRESENTATION: A 4-month-old female infant, born from a discordant twin pregnancy, exhibited persistent neonatal respiratory failure, failure to wean from oxygen therapy, global tonic-clonic seizures, and severe hypotonia. Magnetic resonance imaging (MRI) and magnetic resonance angiography (MRA) of the brain demonstrated a complete absence of the pons, a slender tissue cord connecting the midbrain and medulla oblongata, extensive cerebellar hypoplasia, and nonopacification or aplasia of the basilar and distal vertebral arteries. Whole exome sequencing did not reveal any standard inherited neurodevelopmental mutations; however, genomic analysis identified carrier status for a biologically plausible frameshift variant in TMEM67, a gene heavily implicated in ciliary hindbrain morphogenesis. The implementation of targeted supportive care allowed the patient to survive beyond the typical early neonatal period, with the patient remaining alive at a 12-month follow-up. CONCLUSION: This case broadens the known phenotypic and radiological range of BDS by reporting new multilevel skeletal and vascular co-occurring conditions. The notable phenotypic differences seen in this twin pregnancy support the theory of early embryonic vascular disruption. Additionally, the detection of the TMEM67 variant indicates that ciliary gene mutations could be important genetic factors or modifiers in BDS.

MRI neonate↗

PubMed2026

Recent Advances in Surveillance Strategies for Nasopharyngeal Carcinoma.

PURPOSE OF REVIEW: Nasopharyngeal carcinoma (NPC) is a malignant tumor characterized by a distinct geographical distribution. Effective surveillance is crucial for the early detection of recurrence or metastasis and for improving patient prognosis.This review systematically examines current NPC follow-up protocols and recent developments to inform individualized precision surveillance. RECENT FINDINGS: This review focuses on two main aspects. 1) We compare and analyze current major NPC follow-up guidelines, with key discussions covering follow-up frequency, imaging modalities (including magnetic resonance imaging [MRI] and positron emission tomography [PET]), plasma Epstein-Barr virus DNA (EBV-DNA) monitoring, and functional assessments. 2)We elaborate on the application prospects and research progress of genomics, radiomics, and artificial intelligence in NPC surveillance. Studies suggest that risk-stratified, individualized follow-up strategies, such as those based on conditional survival models, can enhance the cost-effectiveness of surveillance. Additionally, emerging technologies, including radiomics and artificial intelligence, show promise for improving recurrence risk assessment, prognostic stratification, and individualized surveillance in NPC. Concurrently, advances in genomics and radiomics offer new opportunities for predicting complications and guiding treatment adjustments. Future efforts should focus on integrating multidisciplinary expertise to develop dynamic monitoring systems that enable precise follow-up and ultimately improve patient survival outcomes.

Humans↗

PubMed2026

The 'Prostate Cancer Screening for People at Genetic Risk of Aggressive Disease' (PATROL) study.

BACKGROUND: Inherited (germline) pathogenic and likely pathogenic variants (gPVs) in key genes associated with increased risk of prostate cancer (PCa) now warrant more attentive PCa screening per National Comprehensive Cancer Network (NCCN) guidelines-e.g., BRCA2, HOXB13, ATM, BRCA1, MSH2, MSH6, CHEK2 and TP53. However, the optimal early detection strategy for gPV carriers, including use of age-adjusted PSA thresholds and prostate imaging may be refined. and as a means to investigate novel biomarkers. STUDY DESIGN: 'Prostate Cancer Screening for People at Genetic Risk of Aggressive Disease' (PATROL) is a multicentre, prospective early detection study for individuals at increased risk for PCa due to carrying a gPV in a PCa risk gene. ENDPOINTS: The primary endpoint is to determine the positive predictive value of pre-defined age-directed prostate-specific antigen (PSA) level thresholds and prostate-specific imaging, e.g., multiparametric magnetic resonance imaging (MRI) for clinically significant PCa on biopsy for individuals at risk of PCa due to a gPV. Exploratory endpoints include characterising clinicopathological characteristics of PCa and patient-reported outcomes. Biospecimens will be collected to evaluate emerging clinical and research biomarkers. PATIENTS AND METHODS: Key eligibility includes: individuals aged ≥40 years who carry a gPV in an eligible gene, who have no prior diagnosis of PCa, do not have another active malignancy, and provide informed consent. Study procedures include annual physical examination and PSA. Imaging with MRI is optional at baseline and recommended if the PSA level is above the protocol-recommended PSA level threshold. Participants will be offered prostate biopsy for any clinical concern, PSA level >1.0 ng/mL if aged <50 years; PSA level >1.5 ng/mL if aged 50-59 years; PSA level >2.0 ng/mL if aged ≥60 years. If PCa is diagnosed, clinical care is determined by the participant and treating physician. If opting for active surveillance, study procedures will be collected annually for 10 years or until definitive treatment. If definitive treatment, study procedures will be collected for an additional 1 year. Long-term clinical outcomes will be collected annually until the study closes.

Humans↗

PubMed2026

Plasma von Willebrand Factor and ADAMTS13 Interact With APOE-ε4 in Predicting Longitudinal Brain Atrophy and Cognitive Decline Over a 9-Year Follow-Up.

BACKGROUND: Von Willebrand factor (VWF) and ADAMTS13 (a disintegrin and metalloproteinase with thrombospondin type 1 motif, 13) are linked to dementia risk, and limited evidence suggests apolipoprotein E (APOE)-ε4 alters VWF release. This study assessed whether baseline VWF and ADAMTS13 levels predict neurodegeneration and cognitive decline and evaluated effect modification by APOE-ε4 carriership. METHODS: Vanderbilt Memory and Aging Project cohort participants (n=332, 73±7 years, 59% male) completed serial blood draw, neuropsychological assessment, and brain magnetic resonance imaging over 6.4 years (range 1.4-9.7 years). Baseline plasma VWF and ADAMTS13 levels were quantified using mass spectrometry and Olink. Fully adjusted linear mixed-effects models related protein×time and protein×APOE-ε4×time interaction terms to longitudinal brain magnetic resonance imaging and neuropsychological outcomes. RESULTS: Lower baseline ADAMTS13 predicted faster declines in language (β=0.11, P=0.01), information processing speed (β=0.27, P=0.001), executive function (β=0.01, P=0.03), episodic memory (β=0.01, P=0.03), and visuospatial ability (β=0.11, P=0.001) and faster increases in global (β=-0.29, P=0.01) and frontal (β=-0.17, P=0.01) white matter hyperintensity volumes. Associations between ADAMTS13 and faster rates of cognitive decline and white matter injury were driven by APOE-ε4 carriers. Models relating VWF to longitudinal outcomes were null. APOE-ε4 interacted with VWF on longitudinal gray matter volumetric outcomes, such that faster rates of global gray matter atrophy were observed with higher baseline VWF levels among APOE-ε4 noncarriers only (β=-1530.5, P<0.001). CONCLUSIONS: ADAMTS13 shows promise as a potential plasma biomarker for brain aging outcomes, but additional research is warranted to understand the performance of VWF in the presence versus absence of an APOE-ε4 allele.

Humans↗

PubMed2025

Heterozygous loss-of-function variants in SPTAN1 cause an early childhood onset distal myopathy.

PURPOSE: Heterozygous pathogenic variants in SPTAN1 cause a diverse spectrum of neurogenetic disorders ranging from peripheral and central nervous system involvement to complex syndromic presentations. We set out to investigate the role of SPTAN1 in genetically unsolved hereditary myopathies. METHODS: Through international collaboration we identified 14 families with distal weakness and heterozygous SPTAN1 loss-of-function variants. Clinical data, electrophysiology, muscle computed tomography or magnetic resonance imaging, and muscle biopsy findings were collected and standardized. SPTAN1 protein, messenger RNA expression analysis and copy DNA sequencing was performed on muscle tissue from 2 participants. RESULTS: Five families showed autosomal dominant mode of inheritance, whereas in 9 patients the variant was shown to be de novo, including 2 pairs of monozygotic twins. In 2 families, further segregation analysis was not possible. All affected participants presented with early childhood-onset distal weakness and foot abnormalities. Muscle magnetic resonance imaging or computed tomography in 10 patients showed fatty infiltration of the distal lower limb anterior compartment and/or selective involvement of the extensor hallucis longus muscle. Muscle biopsy revealed myopathic changes in 7 patients. Finally, we provide proof for nonsense-mediated decay in muscle tissue derived from 2 patients. CONCLUSION: We present evidence linking heterozygous SPTAN1 loss-of-function variants to childhood-onset distal myopathy in 14 unrelated families.

Humans↗

PubMed2026

Changes in ACL T2* Metrics Over the Course of the Female Menstrual Cycle: A New Biomarker for the ACL Injury Risk?

BACKGROUND: Sex-based disparities in the anterior cruciate ligament (ACL) injury risk may be partly explained by cyclic variations in sex hormones that drive systemic shifts in tissue osmoregulation. Ultrashort echo time (UTE) T2* magnetic resonance imaging provides a noninvasive, quantitative means of evaluating the water content and collagen orientation in tissue. HYPOTHESIS: Eumenorrheic female participants will exhibit significant ACL T2* changes across the cycle, while anovulatory control participants will demonstrate no significant changes over time. STUDY DESIGN: Cohort study; Level of evidence, 2. METHODS: A total of 25 women with no prior knee injuries were enrolled: 10 premenopausal, eumenorrheic participants and 15 anovulatory control participants (6 postmenopausal and 9 premenopausal using oral contraceptives). Bilateral knee magnetic resonance imaging was performed at 4 time points evenly spaced over 1 month, with the first visit within 24 hours of menses onset. Ovulation status was confirmed using commercially available ovulation predictor kits. Three-dimensional UTE sequences (11 echoes; 0.03-25 ms) were acquired to evaluate bicomponent ACL T2* metrics. Linear mixed-effects models assessed temporal differences in long and short T2* values, and the Cohen d quantified effect size. RESULTS: Eumenorrheic participants demonstrated significantly shorter preovulatory long T2* values compared with postovulatory values (mean difference, 1.0 ms [95% CI, 0.2-1.9 ms]; P = .015; Cohen d = 0.51). No significant temporal differences were observed for any T2* metric in anovulatory controls. CONCLUSION: Eumenorrheic female participants exhibited significant preovulatory to postovulatory changes in ACL T2* metrics, while anovulatory controls demonstrated no significant changes over time. These findings suggest that ACL T2* metrics are sensitive to cyclic fluctuations in female sex hormones across the menstrual cycle.

Humans↗

PubMed2026

Imaging‑based models for predicting cerebrovascular complications of carotid stenosis.

This is a protocol for a Cochrane review (prognosis). The objectives are as follows: Primary objective To systematically review and critically appraise multivariable prognostic models developed for adults (≥ 18 years) with carotid stenosis in which imaging biomarkers (e.g. plaque characteristics derived from magnetic resonance imaging (MRI), computed tomography (CT), or ultrasound) constitute the core predictors. The primary focus is to evaluate the predictive performance of these models for cerebrovascular complications - specifically ipsilateral ischaemic stroke and transient ischaemic attack (TIA) - which are the clinical outcomes to be predicted. Where feasible, we will summarise and compare the models' discrimination (C‑statistic/area under the curve (AUC)) and calibration (calibration‑in‑the‑large, calibration slope, observed‑to‑expected ratio) across studies, and assess their potential for clinical application and external validation. For the purpose of defining symptomatic carotid stenosis as an eligibility criterion and subgroup variable, we will include studies that also considered retinal ischaemia (e.g. retinal embolism, amaurosis fugax) as a qualifying event. Secondary objectives To describe the combinations of imaging markers, modelling techniques, sample sizes, and variable‑selection strategies used in the development of the included models To evaluate the performance of these models for additional secondary clinical outcomes: plaque progression or regression, incident high‑risk imaging features, and the transition from asymptomatic to symptomatic disease To explore whether predictive performance differs according to imaging modality (MRI versus CT versus contrast‑enhanced ultrasound (CEUS)) or technical protocol (e.g. 3 T versus 1.5 T, spectral CT versus conventional CT) For studies that report both cerebrovascular and broader cardiovascular outcomes (major adverse cardiovascular events, myocardial infarction, etc.), we will only extract the performance metrics relating to cerebrovascular events for the primary analysis. Performance metrics for cardiovascular outcomes will be considered exploratory and will not form part of the main synthesis.

Humans↗