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Syphilis should be considered in the differential diagnosis for lytic osseous lesions. The diagnosis of syphilitic osteitis can be made based on clinical, radiographic, and serologic findings, and radiographic resolution of lesions can lag behind clinical and serologic improvement after treatment. Management of syphilitic osteitis and osteomyelitis is not well established in the existing literature, and should be based on clinical, serologic, and radiographic response to treatment. Coinfection with other sexually transmitted infections (STIs) is common, and diagnosis of any STI should prompt further discussion about STI screening and prevention.

Purpose T2-FLAIR mismatch serves as a highly specific but insensitive marker for IDH-mutant (IDHm) astrocytoma with potential limitations in real-world application. We aimed to assess the utility of a broader definition of T2-FLAIR discordance across a cohort of adult-type diffuse lower-grade gliomas (LrGG) to see if specific patterns emerge and additionally examine factors determining deviation from the classic T2-FLAIR mismatch sign. Methods Preoperative MRIs of non-enhancing adult-type diffuse LrGGs were reviewed. Relevant demographic, molecular, and MRI data were compared across tumor subgroups. Results Eighty cases satisfied the inclusion criteria. Highest discordance prevalence and > 50% T2-FLAIR discordance volume were noted with IDHm astrocytomas ( P  < 0.001), while < 25% discordance volume was associated with oligodendrogliomas ( P  = 0.03) and IDH-wildtype (IDHw) LrGG ( P  = 0.004). “T2-FLAIR matched pattern” was associated with IDHw LrGG ( P  < 0.001) and small or minimal areas of discordance with oligodendrogliomas ( P  = 0.03). Sensitivity and specificity of classic mismatch sign for IDHm astrocytoma were 25.7% and 100%, respectively ( P  = 0.06). Retained ATRX expression and/or non-canonical IDH mutation ( n  = 10) emerged as a significant factor associated with absence of classic T2-FLAIR mismatch sign in IDHm astrocytomas (100%, P  = 0.02) and instead had minimal discordance or matched pattern (40%, P  = 0.04). Conclusion T2-FLAIR discordance patterns in adult-type diffuse LrGGs exist on a diverging but distinct spectrum of classic mismatch to T2-FLAIR matched patterns. Specific molecular markers may play a role in deviations from classic mismatch sign.

Background Cardiac involvement is common and is the leading cause of mortality in Fabry disease (FD). We explored the association between cardiovascular magnetic resonance (CMR) myocardial strain, T1 mapping, late gadolinium enhancement (LGE) and left ventricular hypertrophy (LVH) in patients with FD. Methods In this prospective study, 38 FD patients (45.0 ± 14.5 years, 37% male) and 8 healthy controls (40.1 ± 13.7 years, 63% male) underwent 3 T CMR including cine balanced steady-state free precession (bSSFP), LGE and modified Look-Locker Inversion recovery (MOLLI) T1 mapping. Global longitudinal (GLS) and circumferential (GCS) strain and base-to-apex longitudinal strain (LS) and circumferential strain (CS) gradients were derived from cine bSSFP images using feature tracking analysis. Results Among FD patients, 8 had LVH (FD LVH+, 21%) and 17 had LGE (FD LGE+, 45%). Nineteen FD patients (50%) had neither LVH nor LGE (FD LVH- LGE-). None of the healthy controls had LVH or LGE. FD patients and healthy controls did not differ significantly with respect to GLS (− 15.3 ± 3.5% vs. − 16.3 ± 1.5%, p  = 0.45), GCS (− 19.4 ± 3.0% vs. -19.5 ± 2.9%, p  = 0.84) or base-to-apex LS gradient (7.5 ± 3.8% vs. 9.3 ± 3.5%, p  = 0.24). FD patients had significantly lower base-to-apex CS gradient (2.1 ± 3.7% vs. 6.5 ± 2.2%, p  = 0.002) and native T1 (1170.2 ± 37.5 ms vs. 1239.0 ± 18.0 ms, p  < 0.001). Base-to-apex CS gradient differentiated FD LVH- LGE- patients from healthy controls (OR 0.42, 95% CI: 0.20 to 0.86, p  = 0.019), even after controlling for native T1 (OR 0.24, 95% CI: 0.06 to 0.99, p  = 0.049). In a nested logistic regression model with native T1, model fit was significantly improved by the addition of base-to-apex CS gradient (χ 2 (df = 1) = 11.04, p  < 0.001). Intra- and inter-observer agreement were moderate to good for myocardial strain parameters: GLS (ICC 0.849 and 0.774, respectively), GCS (ICC 0.831 and 0.833, respectively), and base-to-apex CS gradient (ICC 0.737 and 0.613, respectively). Conclusions CMR reproducibly identifies myocardial strain abnormalities in FD. Loss of base-to-apex CS gradient may be an early marker of cardiac involvement in FD, with independent and incremental value beyond native T1.

Background Investigation of the myocardial strain characteristics of the left ventricular non-compaction (LVNC) phenotype with cardiovascular magnetic resonance (CMR) feature tracking. Methods CMR cine balanced steady-state free precession data sets of 59 retrospectively identified LVNC phenotype patients (40 years, IQR: 28–50 years; 51% male) and 36 healthy subjects (39 years, IQR: 30–47 years; 44% male) were evaluated for LV volumes, systolic function and mass. Hypertrabeculation in patients and healthy subjects was evaluated against established CMR diagnostic criteria. Global circumferential strain (GCS), global radial strain (GRS) and global longitudinal strain (GLS) were evaluated with feature-tracking software. Subgroup analyses were performed in patients ( n  = 25) and healthy subjects ( n  = 34) with normal LV volumetrics, and with healthy subjects ( n  = 18) meeting at least one LVNC diagnostic criteria. Results All LVNC phenotype patients, as well as a significant proportion of healthy subjects, met morphology-based CMR diagnostic criteria: non-compacted (NC): compacted myocardial diameter ratio > 2.3 (100% vs. 19.4%), NC mass > 20% (100% vs. 44.4%) and > 25% (100% vs. 13.9%), and NC mass indexed to body surface area > 15 g/m 2 (100% vs. 41.7%). LVNC phenotype patients demonstrated reduced GRS (26.4% vs. 37.1%; p  < 0.001), GCS (− 16.5% vs. -20.5%; p  < 0.001) and GLS (− 14.6% vs. -17.1%; p  < 0.001) compared to healthy subjects, with statistically significant differences persisting on subgroup comparisons of LVNC phenotype patients with healthy subjects meeting diagnostic criteria. GCS also demonstrated independent and incremental diagnostic value beyond each of the morphology-based CMR diagnostic criteria. Conclusions LVNC phenotype patients demonstrate impaired strain by CMR feature tracking, also present on comparison of subjects with normal LV volumetrics meeting diagnostic criteria. The high proportion of healthy subjects meeting morphology-based CMR diagnostic criteria emphasizes the important potential complementary diagnostic value of strain in differentiating LVNC from physiologic hypertrabeculation.

Background Emphysematous cystitis is a well-described life threatening complication of urinary tract infection, most commonly seen in patients with diabetes and typically caused by gas forming bacterial or fungal pathogens. Pneumorrhachis is the rare finding of gas within the spinal canal, most commonly reported in the context of cerebrospinal fluid leakage secondary to trauma or spinal instrumentation. To our knowledge there is only one other reported case of pneumorrhachis in the setting of emphysematous cystitis. Case presentation This is a single case report of pneumorrhachis in the setting of emphysematous cystitis. An 82-year-old Asian female patient originally from East Asia, with no prior medical history besides hypertension, presented to hospital with a chief complaint of acute on chronic neck pain and functional decline. Examination revealed nonspecific neurosensory deficits and suprapubic tenderness. Laboratory investigations demonstrated leukocytosis and extended-spectrum beta-lactamase containing Escherichia coli bacteremia and bacteriuria. Computed tomography showed emphysematous cystitis with widespread gas within the cervical and lumbar spinal canal, as well as multiple gas-containing soft tissue collections in the bilateral psoas muscles and paraspinal soft tissues. Despite prompt antimicrobial therapy the patient passed away within 48 hours from septic shock. Conclusions Our case adds to a growing body of literature showing that the spread of air to distant sites, including the spine, may be a poor prognostic indicator in patients with gangrenous intraabdominal infections. This report highlights the importance of recognizing the causes and presentation of pneumorrhachis to facilitate early diagnosis and treatment of potentially life threatening and treatable causes.

Due to a combination of increasing indications for MR imaging, increased MRI accessibility, and extensive global armed conflict over the last few decades, an increasing number of patients now and in the future will present with retained metallic ballistic debris of unknown composition. To date, there are no guidelines on how to safely image these patients which may result in patients who would benefit from MRI not receiving it. In this article, we review the current literature pertaining to the MRI safety of retained ballistic materials and present the process we use to safely image these patients.

This study proposes a semi-weakly supervised learning approach for pulmonary embolism (PE) detection on CT pulmonary angiography (CTPA) to alleviate the resource-intensive burden of exhaustive medical image annotation. Attention-based CNN-RNN models were trained on the RSNA pulmonary embolism CT dataset and externally validated on a pooled dataset (Aida and FUMPE). Three configurations included weak (examination-level labels only), strong (all examination and slice-level labels), and semi-weak (examination-level labels plus a limited subset of slice-level labels). The proportion of slice-level labels varying from 0 to 100%. Notably, semi-weakly supervised models using approximately one-quarter of the total slice-level labels achieved an AUC of 0.928, closely matching the strongly supervised model’s AUC of 0.932. External validation yielded AUCs of 0.999 for the semi-weak and 1.000 for the strong model. By reducing labeling requirements without sacrificing diagnostic accuracy, this method streamlines model development, accelerates the integration of models into clinical practice, and enhances patient care.

Unfortunately the article was published with a spell error in the co-author name “Hassan Maan”. The correct co-author name should be “Hassaan Maan”.