RESUMEN
BACKGROUND: Aortic coarctation (CoA) is usually confused with interrupted aortic arch (IAA), especially adult type A interrupted aortic arch, due to their similar anatomical location. Although the main difference between them is whether arterial lumen exhibits continuity or not, the clinical manifestations are similar and connection exists between them. Adult type A IAA is considered as an extreme form of CoA, which is complete discontinuity of aortic function and lumen caused by degenerative arterial coarctation. This paper reports two cases (interrupted aortic arch and severe aortic coarctation) to analyze the difference and similarity between them. CASE SUMMARY: The two cases of patients presented with hypertension for many years. Computed tomography angiography showed that the aortic arch and descending aorta were discontinuous or significantly narrowed with extensive collateral flow. The IAA patient refused surgical treatment and blood pressure could be controlled with drugs. While the CoA patient underwent stent implantation because of uncontrollable hypertension, the blood flow recovered smoothly and the blood pressures at both ends of the stenosis returned to normal after surgery. CONCLUSION: Adult type A IAA and CoA have difference and similarity, and type A IAA is associated with CoA to a certain extent. The treatment method should be chosen based on the patient's clinical symptoms rather than the severity of the lesion.
RESUMEN
BACKGROUND: Peliosis hepatis (PH) is a rare benign lesion of vascular origin with a pathological characteristic of multiple blood-filled cavities in the liver parenchyma. It is commonly misdiagnosed due to its lack of specificity in clinical presentation and laboratory test results. Herein, a case of a patient with PH who was misdiagnosed with hepatic echinococcosis before operation to remove the lesions was analyzed, with an emphasis on the computed tomography and magnetic resonance imaging characteristics of PH. CASE SUMMARY: We outline the case of a 40-year-old Chinese female who was admitted with aggravated abdominal pain with fever for 1 wk. Ultrasound examination at the local hospital indicated hepatic echinococcosis. However, discordance between imaging diagnosis, clinical history and laboratory examinations in our hospital. Subsequently, the patient was pathologically confirmed as having PH-like changes, which recurred 1 year after operation removal of the lesion. CONCLUSION: Our objective is to highlight the imaging diagnostic value of PH.
RESUMEN
OBJECTIVE: To investigate the value of histogram analysis of diffusion kurtosis imaging (DKI) maps in the evaluation of glioma grading. METHODS: A total of 39 glioma patients who underwent preoperative magnetic resonance imaging (MRI) were classified into low-grade (13 cases) and high-grade (26 cases) glioma groups. Parametric DKI maps were derived, and histogram metrics between low- and high-grade gliomas were analysed. The optimum diagnostic thresholds of the parameters, area under the receiver operating characteristic curve (AUC), sensitivity, and specificity were achieved using a receiver operating characteristic (ROC). RESULT: Significant differences were observed not only in 12 metrics of histogram DKI parameters (P<0.05), but also in mean diffusivity (MD) and mean kurtosis (MK) values, including age as a covariate (F=19.127, P<0.001 and F=20.894, P<0.001, respectively), between low- and high-grade gliomas. Mean MK was the best independent predictor of differentiating glioma grades (B=18.934, 22.237 adjusted for age, P<0.05). The partial correlation coefficient between fractional anisotropy (FA) and kurtosis fractional anisotropy (KFA) was 0.675 (P<0.001). The AUC of the mean MK, sensitivity, and specificity were 0.925, 88.5% and 84.6%, respectively. CONCLUSIONS: DKI parameters can effectively distinguish between low- and high-grade gliomas. Mean MK is the best independent predictor of differentiating glioma grades. KEY POINTS: ⢠DKI is a new and important method. ⢠DKI can provide additional information on microstructural architecture. ⢠Histogram analysis of DKI may be more effective in glioma grading.
