Radiologia最新文献

Meningiomas are tumors that originate in the arachnoid villi and are the most common non-glial neoplasm in the central nervous system. The clinical manifestations associated with meningioma depend, fundamentally, on its location. The location in the cerebral convexity is the most frequent, especially in the frontal lobes, manifesting with headache, motor disturbances, seizures and even neurocognitive disorders. There are 15 histologic subtypes of meningioma and three histologic grades. Within these, grades two and three have a worse prognosis and a higher rate of recurrence, as well as a radiological behavior that is generally more aggressive. Although there are some imaging features that can suggest a specific subtype, the definitive diagnosis will always require histological/molecular confirmation.

Introduction

Various clinical and radiologic variables impact the neurologic prognosis of patients with ischemic cerebrovascular accidents. About 30% of ischemic cerebrovascular accidents are caused by proximal obstruction of the anterior circulation; in these cases, systemic thrombolysis is of limited usefulness. CT angiography is indicated in candidates for endovascular treatment. Various radiologic factors, including the grade of leptomeningeal collateral circulation, as well as the length, density, and extension of the thrombus, have been identified as predictors of neurologic prognosis after anterior ischemic cerebrovascular accidents due to proximal vascular obstruction. Final infarct volume correlations with mortality and long-term functional outcome in these patients. This study aimed to determine the best predictors of final infarct volume on CT angiography in patients with ischemic cerebral accidents due to proximal occlusion.

Materials and methods

This retrospective observational study included adults with ischemic cerebrovascular accidents due to obstruction of the anterior circulation diagnosed by CT angiography in the period comprising June 2009 through December 2019. We measured the length and density of the thrombus in unenhanced CT images, and we used the clot burden score to record the grade of leptomeningeal collateral circulation and the extension of the thrombus. Then we measured the final infarct volume on follow-up CT and analyzed the correlations among these radiologic factors in the infarct volume.

Results

We included 54 patients [mean age, 82 y; 41 (75%) women] with ischemic cerebrovascular accidents due to proximal occlusion. About 60% of the cerebrovascular accidents affected the right cerebral hemisphere, and the most commonly affected vessel was the M1 segment of the medial cerebral artery (40.7%). Final infarct volume correlated with the grade of leptomeningeal collateral circulation (p = 0.03) and with the clot burden score (p = 0.01). Neither the length nor the density of the thrombus correlated with final infarct volume.

Conclusion

The final infarct volume can be estimated on the initial CT angiogram. Nevertheless, we found no useful predictive factors in unenhanced CT images. The best independent radiologic predictors of the final infarct volume are the grade of collateral circulation and the clot burden score, especially in patients who did not undergo mechanical thrombectomy, because mechanical thrombectomy improves outcomes. These factors are important for decision making in the management of patients with ischemic cerebrovascular accidents due to proximal occlusion.

Objective

To describe the epidemiology and CT findings for nontuberculous mycobacterial lung infections and outcomes depending on the treatment.

Material and methods

We retrospectively studied 131 consecutive patients with positive cultures for nontuberculous mycobacteria between 2005 and 2016. We selected those who met the criteria for nontuberculous mycobacterial lung infection. We analysed the epidemiologic data; clinical, microbiological, and radiological findings; treatment; and outcome according to treatment.

Results

We included 34 patients (mean age, 55 y; 67.6% men); 50% were immunodepressed (58.8% of these were HIV+), 20.6% had COPD, 5.9% had known tumors, 5.9% had cystic fibrosis, and 29.4% had no comorbidities. We found that 20.6% had a history of tuberculosis and 20.6% were also infected with other microorganisms. Mycobacterium avium complex was the most frequently isolated germ (52.9%); 7 (20.6%) were also infected with other organisms. The most common CT findings were nodules (64.7%), tree-in-bud pattern (61.8%), centrilobular nodules (44.1 %), consolidations (41.2%), bronchiectasis (35.3%), and cavities (32.4%). We compared findings between men and women and between immunodepressed and immunocompetent patients. Treatment was antituberculosis drugs in 67.6% of patients (72% of whom showed improvement) and conventional antibiotics in 20.6% (all of whom showed radiologic improvement).

Conclusion

The diagnosis of nontuberculous mycobacterial lung infections is complex. The clinical and radiologic findings are nonspecific and a significant percentage of pateints can have other, concomitant infections.

Objective

To evaluate the behavior of adrenal adenomas and metastases with dual-energy CT, analyzing the attenuation coefficient in monochromatic images at three different levels of energy (45, 70, and 140 keV) and the tissue concentrations of fat, water, and iodine in material density maps, with the aim of establishing optimal cutoffs for differentiating between these lesions and comparing our results against published evidence.

Materials and methods

This retrospective case-control study included oncologic patients diagnosed with adrenal metastases in the 6–12 months prior to the study who were followed up in our hospital between January and June 2020. For each case (patient with metastases) included in the study, we selected a control (patient with an adrenal adenoma) with a nodule of similar size. All patients were studied with a rapid-kilovoltage-switching dual-energy CT scanner, using a biphasic acquisition protocol. We analyzed the concentration of iodine in paired water−iodine images, the concentration of fat in the paired water–fat images, and the concentration of water in the paired iodine–water and fat–water images, in both the arterial and portal phases. We also analyzed the attenuation coefficient in monochromatic images (at 55, 70, and 140 keV) in the arterial and portal phases.

Results

In the monochromatic images, in both the arterial and portal phases, the attenuation coefficient at all energy levels was significantly higher in the group of patients with metastases than in the group of patients with adenomas. This enabled us to calculate the optimal cutoffs for classifying lesions as adenomas or metastases, except for the arterial phase at 55 KeV, where the area under the receiver operating characteristic curve (AUC) for the estimated threshold (0.68) was not considered accurate enough to classify the lesions. For the arterial phase at 70 keV, the AUC was 0.76 (95% CI: 0.663‒0.899); the optimal cutoff (42.4 HU) yielded 92% sensitivity and 60% specificity. For the arterial phase at 140 keV, the AUC was 0.94 (95% CI: 0.894‒0.999); the optimal cutoff (18.9 HU) yielded 88% sensitivity and 94% specificity). For the portal phase at 55 keV, the AUC was 0.76 (95% CI: 0.663‒0.899); the optimal cutoff (95.4 HU) yielded 68% sensitivity and 84% specificity. For the portal phase at 70 keV, the AUC was 0.82 (95% CI: 0.757‒0.955); the optimal cutoff (58.4 HU) yielded 80% sensitivity and 84% specificity. For the portal phase at 140 keV, the AUC was 0.9 (95% CI: 0.834‒0.987); the optimal cutoff (16.35 HU) yielded 96% sensitivity and 84% specificity. In the material density maps, in the arterial phase, significant differences were found only for the iodine–water pair, where the concentration of water was higher in the group with metastases (1018.8 ± 7.6 mg/cm³ vs. 998.6 ± 8.0 mg/cm³ for the group with adenomas, p < 0.001). The AUC was