The present study aimed to investigate the potential use of T2-weighted sequences with diffusion weighted imaging (DWI) in magnetic resonance (MR) enterography instead of conventional contrast-enhanced MR imaging (MRI) sequences for the evaluation of active inflammation in Crohn disease.
Two-hundred thirteen intestinal segments of 43 patients, who underwent colonoscopy within 2 weeks before or after MR enterography were evaluated in this retrospective study. DWI sequences, T2-weighted sequences, and contrast-enhanced T1-weighted sequences were acquired in the MR enterography scan after cleaning of the bowel and using an oral contrast agent. First, the intestinal segments that had active inflammation in MR enterography were qualitatively evaluated in T2-weighted and contrast-enhanced T1-weighted sequences and then MR activity index (MRAI 1) and MRAI 2 were formed with and without contrast-enhanced sequences in 2 separate sessions.
The correlation coefficient between contrast enhanced and DWI MR enterography scores (MRAI 1 and MRAI 2) of intestinal inflammation was 0.97 for all segments. In addition, separate correlation coefficients were calculated for terminal ileum, right colon, transverse colon, left colon, and rectum, and there was a strong correlation between the MRAI 1 and MRAI 2 scores of each segment (r = 0.86–0.97, P < .001). On the other hand, MR enterography had 88.7% sensitivity, 97.9% specificity, 95.5% positive predictive value, 94.6% negative predictive value, and 94.8% accuracy for detection of active inflammation in all intestinal segments in Crohn disease.
DWI and T2-weighted sequences acquired with cleaning of the bowel can be used instead of contrast-enhanced MRI sequences for the evaluation of active inflammation in Crohn disease.
Objective
This study aimed to evaluate the diagnostic efficacy of T2 dark spot, T2 dark rim, and T2 shading signs on magnetic resonance imaging in the differentiation of endometriomas from hemorrhagic cysts.
Methods
Seventy-two hemorrhagic lesions were included in this retrospective study. The presence of T2 dark spot, T2 dark rim, and T2 shading signs in the lesions and the presence of complete or incomplete rim in lesions exhibiting T2 dark rim signs were evaluated.
Results
Of 72 lesions, 50 were diagnosed with endometrioma and 22 were diagnosed with hemorrhagic cyst. Twenty-six of 50 endometriomas and none of the hemorrhagic cysts showed T2 dark spot sign. T2 shading was observed in 90% of endometriomas and 18% of hemorrhagic cysts. Incomplete T2 dark rim was detected in 67% of endometriomas and 21% of hemorrhagic cysts.
Conclusions
T2 dark spot and T2 dark rim signs could be useful for distinguishing endometriomas from hemorrhagic cysts.
Sarcopenia is accepted as an indicator of subclinical atherosclerosis. However, its effects on clinical coronary atherosclerotic burden and lesion complexity and major adverse cardiovascular events (MACE) in elderly patients with non-ST elevation myocardial infarction (NSTEMI) are unknown. Therefore, we evaluated these possible effects. Coronary artery disease (CAD) burden and complexity were assessed using the Gensini and TAXus and cardiac surgery (SYNTAX) score, respectively. MACE involving nonfatal myocardial infarction, rehospitalization, ischemic stroke, and total mortality were evaluated after 1 year of the index NSTEMI event. The study included 240 elderly patients; of these, 60 (25%) patients had sarcopenia. The SYNTAX score and Gensini score were similar in both groups (16.8 ± 8.7 vs 17.3 ± 9.2, P = .63 and 67.7 ± 43.9 vs 73.9 ± 45.5, P = .31, respectively). The total MACE rate was significantly higher in patients with sarcopenia than in those without sarcopenia (31.7 vs 14.4%, P = .003). In the multivariate model, age [odds ratio (OR) 1.112, 95% CI: 1.006–1.228, P = .04)], ejection fraction (OR: .923, 95% CI: .897–.951, P < .001), and sarcopenia (OR: 2.262, 95% CI: 1.039–4.924, P = .04) were independently associated with MACE. Sarcopenia was independently associated with MACE but not with CAD burden or complexity in elderly patients with NSTEMI.
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