Arrest diagnoses before 6 cm in women undergoing induction should be made cautiously. (Obstet Gynecol 2012;119:1113-8) DOI: 10.1097/AOG.0b013e318253d7aa”
“Background:

Quantitative assessment of myocardial blood flow (MBF) from cardiovascular magnetic resonance (CMR) perfusion images appears to offer advantages selleck over qualitative assessment. Currently however, clinical translation is lacking, at least in part due to considerable disparity in quantification methodology. The aim of this study was to evaluate the effect of common methodological differences in CMR voxel-wise measurement of MBF, using position emission tomography (PET) as external validation.

Methods: Eighteen subjects, including 9 with significant coronary artery disease (CAD) and 9 healthy volunteers prospectively underwent perfusion CMR. Comparison was made between MBF quantified using: 1. Calculated contrast agent concentration curves (to correct for signal saturation) Cyclosporin A supplier versus raw signal intensity curves; 2. Midventricular versus basal-ventricular short-axis arterial input function (AIF) extraction; 3. Three different deconvolution approaches; Fermi function parameterization, truncated singular value decomposition (TSVD) and first-order Tikhonov

regularization with b-splines. CAD patients also prospectively underwent rubidium-82 PET (median interval 7 days).

Results: MBF was significantly higher when calculated using signal intensity compared to contrast agent concentration curves, and when the AIF was extracted from mid-compared to basal-ventricular images. MBF did not differ significantly between Fermi and Tikhonov, or between Fermi and TVSD deconvolution methods although there was a 5-Fluoracil small difference between TSVD and Tikhonov (0.06 mL/min/g). Agreement between all

deconvolution methods was high. MBF derived using each CMR deconvolution method showed a significant linear relationship (p < 0.001) with PET-derived MBF however each method underestimated MBF compared to PET (by 0.19 to 0.35 mL/min/g).

Conclusions: Variations in more complex methodological factors such as deconvolution method have no greater effect on estimated MBF than simple factors such as AIF location and observer variability. Standardization of the quantification process will aid comparison between studies and may help CMR MBF quantification enter clinical use.”
“Background: Active inflammatory bowel disease, anaemia, iron deficiency and depression, alone or in combination, are known contributing factors of fatigue in inflammatory bowel disease. However, in some patients, fatigue cannot be attributed to known causes. Thiopurines are not a recognized cause.

AIM: To describe the clinical scenario of a series of patients where thiopurines were the likely cause of fatigue.