Development of a CT image analysis-based scoring system to differentiate gastric schwannomas from gastrointestinal stromal tumors.

Purpose: To develop a point-based scoring system (PSS) based on contrast-enhanced computed tomography (CT) qualitative and quantitative features to differentiate gastric schwannomas (GSs) from gastrointestinal stromal tumors (GISTs). Methods: This retrospective study included 51 consecutive GS patients and 147 GIST patients. Clinical and CT features of the tumors were collected and compared. Univariate and multivariate logistic regression analyses using the stepwise forward method were used to determine the risk factors for GSs and create a PSS. Area under the receiver operating characteristic curve (AUC) analysis was performed to evaluate the diagnostic efficiency of PSS. Results: The CT attenuation value of tumors in venous phase images, tumor-to-spleen ratio in venous phase images, tumor location, growth pattern, and tumor surface ulceration were identified as predictors for GSs and were assigned scores based on the PSS. Within the PSS, GS prediction probability ranged from 0.60% to 100% and increased as the total risk scores increased. The AUC of PSS in differentiating GSs from GISTs was 0.915 (95% CI: 0.874-0.957) with a total cutoff score of 3.0, accuracy of 0.848, sensitivity of 0.843, and specificity of 0.850. Conclusions: The PSS of both qualitative and quantitative CT features can provide an easy tool for radiologists to successfully differentiate GS from GIST prior to surgery.

Giant subcutaneous bronchogenic cyst in the intergluteal cleft region of an adult: a case report and literature review.

BACKGROUND: Bronchogenic cysts (BCs) are generally detected in the mediastinum, along the tracheobronchial tree, or in the lung parenchyma. Subcutaneous BCs are rare, but, when found, are usually small (< 3 cm) and detected in children. CASE PRESENTATION: In an unusual adult case, we treated a 52-year-old woman who presented with a mass in the left intergluteal cleft region. Ultrasonography showed a well-circumscribed hypoechoic lesion with posterior enhancement and internal echogenic foci within the mass. Color Doppler images showed no signals. Computed tomography showed the mass as a homogeneous, 6.8- × 6.3- × 5.1-cm soft tissue-attenuation lesion lodged in subcutaneous fatty tissue. Magnetic resonance imaging revealed a cystic lesion of similar dimensions with heterogeneous hyperintensity on both T1- and T2-weighted images. No contrast enhancement, solid components, or restricted diffusion foci were apparent. The cyst was completely excised, and histopathological evaluation indicated it was a BC. The patient's recovery was uneventful. CONCLUSIONS: BCs should be considered in the differential diagnosis of all subcutaneous cystic masses, regardless of their location and size and the patient's age.

T2 mapping and fat quantification of lumbar paraspinal muscle in ankylosing spondylitis: a case control study.

BACKGROUND: To compare changes in the composition of paraspinal muscles of patients with ankylosing spondylitis (AS) and matched healthy controls using T2 mapping and T2 IDEAL and correlate the quantitative magnetic resonance imaging (qMRI) results with clinical assessments of AS patients. METHOD: In total, 37 AS patients and 37 healthy controls were enrolled in the case control study. T2 mapping with and without fat saturation and IDEAL imaging were used to assess the multifidus (MF) and erector spinae (ES) at the levels of L3/L4 and L4/L5 for all subjects. Mean T2non-fatsat, T2fat, T2fatsat, cross-sectional area (CSA), and fat fraction (FF) were compared between AS and healthy controls. Correlations of qMRI results with clinical assessments were analyzed in AS. RESULTS: Significantly elevated mean T2non-fatsat values and the FF of the MF and ES at both levels were observed in AS and compared to the controls (p < 0.05). The mean T2fatsat values of ES and MF were significantly higher only at the level of L3/L4 in AS compared to healthy controls (p < 0.05). A loss of muscle CSA compatible with atrophy was present in MF and ES at both levels in AS compared to the controls (p < 0.05). Weak to moderate positive correlations were found between FF and age and disease duration in AS (r = 0.318-0.415, p < 0.05). However, such positive correlation was not observed between FF and disease duration after adjusting for age (p > 0.05). CONCLUSIONS: Our findings indicate that using a combination of IDEAL and T2 mapping may provide deeper insights into the pathophysiological degeneration of paraspinal muscles in AS.

Neuroradiologic Findings and Clinical Features of Meningiomas With Spontaneous Hemorrhagic Onset: A Single-center 10-year Experience.

OBJECTIVE: This study aimed to elucidate the clinicoradiologic features of spontaneous hemorrhagic meningiomas (HMs) and examine risk factors associated with meningioma hemorrhage. METHODS: We retrospectively reviewed 651 consecutive meningioma patients who underwent surgical resection in our hospital between January 2011 and January 2021. After exclusions, 169 patients were included for analysis. Patients were grouped according to presence of hemorrhage in the meningioma: the HM group (n = 19) and non-HM group (n = 150). Clinicoradiologic patient data were examined and compared using univariate and multivariate analysis. RESULTS: HMs accounted for 2.9% of the entire series of meningiomas. HMs were mainly located at the convexity (63.2%). Mean diameter of HMs was 4.8 cm. On computed tomography, most HMs appeared as mixed isodensity and hyperdensity (84.2%). On magnetic resonance imaging, most appeared as mixed isointensity and hyperintensity on T1-weighted imaging and mixed hypointesity and hyperintensity on T2-weighted imaging (52.6%). Seventeen tumors exhibited heterogeneous enhancement, a dural tail, and peritumoral brain edema. Thirteen showed intratumoral cystic change. The misdiagnosis rate was significantly higher in HMs than non-HMs (31.6% vs. 7.3%; P = 0.005). Intratumoral cystic change was the only independent predictor of meningioma hemorrhage in multivariate analysis (odds ratio 4.116; 95% confidence interval 1.138-14.894; P = 0.031). CONCLUSIONS: Mixed isodensity/intensity and hyperdensity/intensity on computed tomography/magnetic resonance imaging in conjunction with heterogenous enhancement, a dural tail, and varying degrees of peritumoral brain edema suggest a high possibility of HM. Presence of intratumoral cystic change was an independent risk factor associated with meningioma hemorrhage.

Misdiagnosis and Delay of Diagnosis in Hemorrhagic Meningioma: A Case Series and Review of the Literature.

OBJECTIVE: To evaluate the clinicoradiologic characteristics of hemorrhagic meningiomas (HMs) that are missed or misdiagnosed on radiologic imaging studies. METHODS: Clinical and radiologic data from 6 patients with HM who were initially misdiagnosed were collected and recorded respectively. In addition, we performed a literature review for misdiagnosed HM and summarized the results. RESULTS: Five of the 6 patients with misdiagnosed HM were female, and 1 was male. Both computed tomography (CT) and magnetic resonance imaging were performed in 4 patients, and CT alone was performed in 2. On CT, the HM was heterogeneously hyperdense in 5 patients and isodense in 1 patient. In all 4 patients who underwent magnetic resonance imaging, the HM was mixed iso- and hypointense on T1-weighted imaging and heterogeneously hyperintense on T2-weighted imaging. Marked heterogeneous contrast enhancement was observed in 2 patients, strong rim enhancement in 1, and peripheral enhancement in 1. The dural tail sign was seen in only 1 patient. The initial radiologic misdiagnoses were subdural hematoma (n = 1), malignant glioma (n = 1), ruptured arterial aneurysm (n = 1), metastasis (n = 2), and uncertain (n = 1). In the literature review, 22 cases of HM diagnostic error were collected. The main misdiagnoses were subdural hematoma (27.3%), traumatic hematoma (13.6%), vascular anomaly (13.6%), malignant glioma (4.5%), and metastasis (4.5%). CONCLUSIONS: Our study showed that in patients with HM with inadequate imaging evaluation, a small tumor associated with massive hematoma and atypical imaging features was more likely to be misdiagnosed.