Background Magnetic resonance imaging (MRI) is the imaging modality of choice for evaluating perianal fistulae, due to its ability to show the relationship of perianal fistulae with anal sphincters, fistula extensions, secondary ramifications and associated complications. Aim To evaluate the role of diffusion-weighted MRI in the evaluation of perianal fistulae. Settings and Design A hospital-based cross-sectional study. Materials and Methods The study group composed of 47 patients of perianal fistula. MRI with diffusion-weighted imaging (DWI) was performed with Philips 0.5 T Ingenia scanner. DWI with different b-values (b = 50, b = 400, and b = 800 smm2) were obtained. The MRI findings were correlated with local clinical examination and or surgical findings. Statistical Analysis Used Chi-square test, independent samples t-test, and receiver operating characteristic curve analysis. Result Fifty-nine perianal fistulas in 47 patients were included in the study sample. The visibility of perianal fistula on DWI was less than T2-weighted (T2W) and combined DWI-T2W images. Distinctly visualized (visibility score 2) perianal fistulas were observed in 47 fistulas (79.6%) on DWI, 54 (91.5%) on T2W, and 58 (98.3%) on DWI-T2W images. The mean of apparent diffusion coefficient (ADC) values of active fistula was 0.972 ± 0.127 [SD] 10−3 mm2/s and inactive was 1.232 ± 0.185 [SD] 10−3 mm2/s with a significant difference (p-value < 0.0005). A cut-off mean ADC value of 1.105 × 10−3 mm2/s was used to differentiate active from the inactive fistula with a sensitivity of 87.5% and specificity of 73.3%. Conclusion Combined DWI-T2W evaluation had a better performance in the detection of fistula than DWI or T2W alone. DWI with mean ADC calculation had a good performance in differentiating active from the inactive fistulas.

Background- Ovarian masses are a common finding in routine clinical practice. MRI shows great accuracy in the detection and discrimination of ovarian/adnexal masses, but conventional MRI sequences sometimes fail to characterize indeterminate ovarian masses. Functional MRI techniques, such as DWI and DCE-MRI provides further information based on tissue cellularity and internal architecture of ovarian tumors respectively. To Aims- evaluate the various conventional and DCE-MRI characteristics of ovarian masses, to estimate their ADC values and to assess the performance of the O-RADS MRI risk score. The study was conducted in the Department of Materials and methodsRadio-diagnosis, TMCH over a period of one year, on 50 patients diagnosed with indeterminate or suspicious ovarian mass in US examination. MRI was performed on a 1.5-T MR imaging unit. The findings were correlated with results of HPE. Results- The diagnostic accuracy of O-RADS MRI risk score was 93.2%, sensitivity 94.74%, and specificity 93.67%. Among the DCE-MR parameters, MRE% showed higher specificity (80%) and Tmax showed higher sensitivity (97.5%). Malignant masses showed higher MRE% and less time to peak compared to benign masses. ADC cut-off of <1.0x10-3 for the solid component of the masses has produced a sensitivity of 90.24%, specificity of 77.78% and accuracy of 88.5%. Conclusion- Based on the results of our study, we conclude that in cases of indeterminate ovarian masses, functional MRI should be the investigation of choice. Further, applying the O-RADS MRI risk score in clinical practice standardizes reporting and allows for a customized patient-centred strategy.

Boruah et al. This is an open access article distributed under the terms of the Creative Commons Attribution License CC-BY 4.0., which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

CT Protocol MDCT examinations were performed using a 128-slice scanner (Philips Ingenuity 128 CT scanner, Amsterdam, Netherlands). The same parameters (120 kV, 100mAs, 1 mm slice thickness, and automatic exposure control) were used in all patients. MDCT chest scans were acquired during breath hold in deep inspiration. Analysis of the MDCT image data were based on axial and reformatted images. All images were evaluated in axial plane followed by sagittal and coronal Multi Planar Reconstruction (MPR). Maximum Intensity Projection (MIP) and Surface Shaded Display (SSD) images were also evaluated. Two experienced radiologists evaluated the images with a consensus for the presence of midline sternal body foramen and various morphometry of xiphoid process.

Introduction: Detection and characterization of hepatic lesions is crucial due to the high prevalence of both benign and malignant lesions. USG is the most common initial method for evaluation, but in most cases, a definitive diagnosis cannot be made based on it. CT is superior modality because of its ability to detect vascular perfusion in the different phases. Aim: Objectives: To assess the role of Triple phase computed tomography in differentiating various focal hepatic SOLs. To evaluate the characteristics of focal hepatic lesions on a Triphasic Computed Tomography scan performed in patients with suspected focal liver disease and to correlate the CT findings with FNAC/Histopathological examination. Methodology: This prospective study was conducted for a period of one year. 90 patients were included with suspected hepatic lesions clinically or on ultrasound findings with age more than seven years from both genders. Computed tomography (CT) examinations were done and different enhancement patterns were then seen. The final report was made by the radiologist while the FNAC/HPE findings were reviewed. In present study, 56% of patient Results: s were males and 44% were females. Right lobe was involved in 60% and both lobes in 23% of patients. The most common lesion was hemangioma. Abscess was the 2nd most common benign lesion. Sensitivity, specificity, PPV and NPV for HCC detection was 85%, 95%, 81.8% and 92.7% respectively. Sensitivity, specificity, PPV and NPV for metastasis detection was 85%, 84.37%, 77.3% and 90% respectively. Triple phase CT not only diagnosed hepatic lesions wi Conclusion: th high sensitivity and specificity but also helped in planning the management. CT findings very well correlated with the final pathological diagnosis.