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1.
Case Rep Emerg Med ; 2014: 252657, 2014.
Article in English | MEDLINE | ID: mdl-24987535

ABSTRACT

Corpus luteum cyst rupture with consequent hemoperitoneum is a common disorder in women in their reproductive age. This condition should be promptly recognized and treated because a delayed diagnosis may significantly reduce women's fertility and intra-abdominal bleeding may be life-threatening. Many imaging modalities play a key role in the diagnosis of acute pelvic pain from gynecological causes. Ultrasound study (USS) is usually the first imaging technique for initial evaluation. USS is used to confirm or to exclude the presence of intraperitoneal fluid but it has some limitations in the identification of the bleeding source. Contrast-enhanced computed tomography (CT) is the imaging modality which could be used in the acute setting in order to recognize gynecological emergencies and to establish a correct management. Magnetic resonance imaging (MRI) nowadays is the most useful technique for studying the pelvis but its low availability and the long acquisition time of the images limit its usefulness in characterization of acute gynecological complications. We report a case of a young patient with hemoperitoneum from hemorrhagic corpus luteum correctly identified by transabdominal USS and contrast-enhanced CT.

2.
Respir Med ; 108(6): 875-82, 2014 Jun.
Article in English | MEDLINE | ID: mdl-24780717

ABSTRACT

OBJECTIVES: To compare pulmonary perfusion parameters by means of dynamic perfusion magnetic resonance in patients affected by chronic obstructive pulmonary disease (COPD), during and after acute exacerbation. METHODS: Fifteen patients were successfully evaluated with perfusional MRI during an acute exacerbation of COPD and upon clinical stabilization. Inclusion criteria were a PaCO2 > 45 mmHg and respiratory acidosis (arterial blood pH < 7.35) at admittance. RESULTS: In the acute phase a reduction of pulmonary blood flow (PBF) and pulmonary blood volume (PBV), and a significant prolonging of the mean transit time (MTT) and time to peak (TTP) were observed in all patients. In the stabilization phase a significant increase of PBF and PBV and a significant reduction of MTT and TTP were observed in 6 patients; no significant variations were observed in the other 9 patients. CONCLUSION: 3D time-resolved contrast-enhanced MRI allows quantitative evaluation of pulmonary regional perfusion in patients affected by COPD, identifying patients in which perfusion defects are resolved in the clinical-stabilization phase. This technique might allow the identification of patients in whom vasospasm may be the main responsible of pulmonary hypoperfusion during acute COPD exacerbation, with potential advantages on the clinical management of these patients.


Subject(s)
Lung/blood supply , Pulmonary Disease, Chronic Obstructive/physiopathology , Acidosis, Respiratory/physiopathology , Acute Disease , Aged , Carbon Dioxide/blood , Female , Humans , Inhalation/physiology , Magnetic Resonance Imaging , Male , Partial Pressure
3.
ISRN Oncol ; 2011: 643890, 2011.
Article in English | MEDLINE | ID: mdl-22084735

ABSTRACT

Purpose. To evaluate the correlation between MRI and histopathological findings in patients with mammographically detected 3-5 BI-RAD (Breast Imaging Reporting And Data Systems) microcalcifications and to allow a better surgical planning. Materials and Method. 62 female Patients (age 50 ± 12) with screening detected 3-5 BI-RAD microcalcifications underwent dynamic 3 T contrast-enhanced breast MRI. After 30-day (range 24-36 days) period, 55 Patients underwent biopsy using stereotactic vacuum-assisted biopsy (VAB), 5 Patients underwent stereotactic mammographically guided biopsy, and 2 Patients underwent MRI-guided VAB. Results. Microhistology examination demonstrated 36 malignant lesions and 26 benign lesions. The analysis of MRI findings identified 8 cases of MRI BI-RADS 5, 23 cases of MRI BI-RADS 4, 11 cases of MRI BI-RADS 3, 4 cases type A and 7 cases type B, and 20 cases of MRI BI-RADS 1-2. MRI sensitivity, specificity, positive predictive value, and negative predictive value were 88.8%, 76.9%, 84.2%, and 83.3%, respectively.

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