Jcpsp-Journal of the College of Physicians and Surgeons Pakistan最新文献

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Objective: To evaluate T1 mapping values in different concentrations of iodine and mixed blood and to simulate the application of T1 mapping in differentiating iodine contrast extravasation and haemorrhage transformation after revascularisation in acute ischemic stroke.

Study design: A phantom-based experimental study. Place and Duration of the Study: Department of Radiology, the Second Affiliated Hospital of Soochow University, China, from October 2020 to December 2021.

Methodology: Fresh blood, pure iodine, blood-iodine mixtures (75/25, 50/50, and 25/75 ratios), and diluted iodine (at a concentration of 2.1 mmol I/L) were scanned in a phantom on 3-T MR T1 mapping imaging. A total of 10 layers in the middle section of tubes were scanned. The mean value of T1 mapping and 95% confidence interval for the investigated sample compositions were calculated and compared by ANOVA.

Results: The mean values (95% CI) for fresh blood, [2/3] blood +[1/3] iodine, [1/2] blood +[1/2] iodine, [1/3] blood +[2/3] iodine, and pure iodine were 2108.69 ± 1966.68-2250.71(ms), 1991.72 ± 1763.22-2220.21(ms), 1811.62 ± 1614.79-2008.45(ms), 1624.39 ± 1442.41-1806.37(ms), 1294.68 ± 1172.92-1416.44(ms), respectively. The differences between the T1 mapping values of all compositions were significant (p <0.01), except for fresh blood and the sample consisting of 67% blood. The mean value on T1 mapping (95% CI) was 1294.68 ± 1172.92-1416.44 (ms) in the samples only with diluted iodine, which was significantly different from other investigated samples (p <0.01). The intra-class correlation coefficient between the two times drawing of radiologist A was excellent (ICC=0.913, p<0.01), and between radiologists A and B was 0.99.

Conclusion: Iodine contrast extravasation in a phantom setting might be distinguished from haemorrhagic transformation using T1 mapping.

Key words: Acute ischemic stroke, Haemorrhage transformation, Contrast extravasation, Magnetic resonance imaging, T1 mapping, 3T MRI.

Objective: To analyse the predictive value of immature platelet fraction (IPF) as an independent diagnostic marker to differentiate between hyperdestructive and hypoproductive thrombocytopenia.

Study design: Cross-sectional observational study. Place and Duration of the Study: Armed Forces Institute of Pathology Rawalpindi, from February to July 2022.

Methodology: A total of 164 samples were included in the study by non-probability consecutive sampling. Among these, 80 were obtained from normal individuals serving as control; 43 were obtained from patients having hyperdestructive thrombocytopenia (idiopathic thrombocytopenia, thrombotic thrombocytopenic purpura, disseminated intravascular coagulation); and 41 were obtained from those hypoproductive thrombocytopenia (acute leukaemia, aplastic anaemia, chemotherapy). Sysmex automated haematology analyzer, XN-3000 was used to determine the immature platelet fraction (IPF) of the patients. ROC curves analysis was done to ascertain area under curve.

Results: Immature platelet fraction (IPF %) was significantly higher in consumptive / hyperdestructive thrombocytopenia group i.e. median (IQR), 21% (14.4-26.2) as compared to 6.5% (4.6-8.9) in hypoproductive thrombocytopenia, and 2.6% (1.3-4.1) in normal control group (p <0.001). Cut-off value with the highest sensitivity and specificity for IPF vs. normal population was 7.95% with sensitivity of 97.7% and specificity of 86%.

Conclusion: Immature platelet fraction (IPF of 7.95%) possesses high diagnostic accuracy, sensitivity and specificity for differentiation between hyperdestructive vs. hypoproductive thrombocytopenia. It can be used as a reliable marker to differentiate between the two entities.

Key words: Immature platelet fraction, Thrombocytopenia, Bone marrow failure, Peripheral destruction.