Purpose To evaluate the role of non-contrast multidetector CT (MDCT) reliability in localizing CSF leaks and skull base defects in correlation to operative findings. Materials and methods Twenty patients clinically diagnosed to have CSF rhinorrhea; 8 spontaneous and 12 post-traumatic patients were evaluated using 64-rows MDCT with slice section 0.6 mm. CT is considered accurate if correctly determine the site and size of bony defect as matched with operative findings. Results MDCT accurately detected the site of presumed CSF leak in 19 out of 20 cases with sensitivity 95%. Cribriform plate defect is the most common site of defect in 40% of cases with 75% of cases categorized as Keros type II. The consensus image with fair agreement (K = 0.38) shows that coronal reformat has the highest diagnostic performance in 75% of cases while the least diagnostic value is encountered with the axial plane in 15% of cases …

Background: Substantial evidence has supported the association between adipocytokines and many types of cancers. However, the results in the setting of colorectal cancer (CRC) remains conflicting. Aim: This study aimed to evaluate the predictive power of adipocytokines (leptin and Rrsistin) levels and abdominal fat distribution in the diagnosis of colorectal cancer. Methods: Eighty participants were recruited then divided into three groups based on the endoscopic and histopathological investigation. The recruited individuals included 30 patients with colon cancer, 25 with colonic adenoma, and 25 controls. Serum adipocytokines (leptin and resistin) levels were measured, and the quantitative fat analysis was calculated based on an abdominal CT scan. Results: Multivariable logistic regression revealed that two predictors (leptin and resistin) of CRC development could be used. Visceral/superficial fat rate was the most significant predictor among the parameters of quantitative fat analysis. Also, psoas muscle and visceral fat volume showed significant differences among the study groups. Conclusion: Leptin and resistin can be used as a valuable independent predictor for the diagnosis of colorectal cancer. Also, the visceral/superficial fat rate was the most predictor.

Background: Substantial evidence has supported the association between adipocytokines and many types of cancers. However, the results in the setting of colorectal cancer (CRC) remains conflicting. Aim: This study aimed to evaluate the predictive power of adipocytokines (leptin and Rrsistin) levels and abdominal fat distribution in the diagnosis of colorectal cancer. Methods: Eighty participants were recruited then divided into three groups based on the endoscopic and histopathological investigation. The recruited individuals included 30 patients with colon cancer, 25 with colonic adenoma, and 25 controls. Serum adipocytokines (leptin and resistin) levels were measured, and the quantitative fat analysis was calculated based on an abdominal CT scan. Results: Multivariable logistic regression revealed that two predictors (leptin and resistin) of CRC development could be used. Visceral/superficial fat rate was the most significant predictor among the parameters of quantitative fat analysis. Also, psoas muscle and visceral fat volume showed significant differences among the study groups. Conclusion: Leptin and resistin can be used as a valuable independent predictor for the diagnosis of colorectal cancer. Also, the visceral/superficial fat rate was the most predictor.

Background: Substantial evidence has supported the association between adipocytokines and many types of cancers. However, the results in the setting of colorectal cancer (CRC) remains conflicting. Aim: This study aimed to evaluate the predictive power of adipocytokines (leptin and Rrsistin) levels and abdominal fat distribution in the diagnosis of colorectal cancer. Methods: Eighty participants were recruited then divided into three groups based on the endoscopic and histopathological investigation. The recruited individuals included 30 patients with colon cancer, 25 with colonic adenoma, and 25 controls. Serum adipocytokines (leptin and resistin) levels were measured, and the quantitative fat analysis was calculated based on an abdominal CT scan. Results: Multivariable logistic regression revealed that two predictors (leptin and resistin) of CRC development could be used. Visceral/superficial fat rate was the most significant predictor among the parameters of quantitative fat analysis. Also, psoas muscle and visceral fat volume showed significant differences among the study groups. Conclusion: Leptin and resistin can be used as a valuable independent predictor for the diagnosis of colorectal cancer. Also, the visceral/superficial fat rate was the most predictor.

Background: Substantial evidence has supported the association between adipocytokines and many types of cancers. However, the results in the setting of colorectal cancer (CRC) remains conflicting. Aim: This study aimed to evaluate the predictive power of adipocytokines (leptin and Rrsistin) levels and abdominal fat distribution in the diagnosis of colorectal cancer. Methods: Eighty participants were recruited then divided into three groups based on the endoscopic and histopathological investigation. The recruited individuals included 30 patients with colon cancer, 25 with colonic adenoma, and 25 controls. Serum adipocytokines (leptin and resistin) levels were measured, and the quantitative fat analysis was calculated based on an abdominal CT scan. Results: Multivariable logistic regression revealed that two predictors (leptin and resistin) of CRC development could be used. Visceral/superficial fat rate was the most significant predictor among the parameters of quantitative fat analysis. Also, psoas muscle and visceral fat volume showed significant differences among the study groups. Conclusion: Leptin and resistin can be used as a valuable independent predictor for the diagnosis of colorectal cancer. Also, the visceral/superficial fat rate was the most predictor.

Background: Substantial evidence has supported the association between adipocytokines and many types of cancers. However, the results in the setting of colorectal cancer (CRC) remains conflicting. Aim: This study aimed to evaluate the predictive power of adipocytokines (leptin and Rrsistin) levels and abdominal fat distribution in the diagnosis of colorectal cancer. Methods: Eighty participants were recruited then divided into three groups based on the endoscopic and histopathological investigation. The recruited individuals included 30 patients with colon cancer, 25 with colonic adenoma, and 25 controls. Serum adipocytokines (leptin and resistin) levels were measured, and the quantitative fat analysis was calculated based on an abdominal CT scan. Results: Multivariable logistic regression revealed that two predictors (leptin and resistin) of CRC development could be used. Visceral/superficial fat rate was the most significant predictor among the parameters of quantitative fat analysis. Also, psoas muscle and visceral fat volume showed significant differences among the study groups. Conclusion: Leptin and resistin can be used as a valuable independent predictor for the diagnosis of colorectal cancer. Also, the visceral/superficial fat rate was the most predictor.

Background: Substantial evidence has supported the association between adipocytokines and many types of cancers. However, the results in the setting of colorectal cancer (CRC) remains conflicting. Aim: This study aimed to evaluate the predictive power of adipocytokines (leptin and Rrsistin) levels and abdominal fat distribution in the diagnosis of colorectal cancer. Methods: Eighty participants were recruited then divided into three groups based on the endoscopic and histopathological investigation. The recruited individuals included 30 patients with colon cancer, 25 with colonic adenoma, and 25 controls. Serum adipocytokines (leptin and resistin) levels were measured, and the quantitative fat analysis was calculated based on an abdominal CT scan. Results: Multivariable logistic regression revealed that two predictors (leptin and resistin) of CRC development could be used. Visceral/superficial fat rate was the most significant predictor among the parameters of quantitative fat analysis. Also, psoas muscle and visceral fat volume showed significant differences among the study groups. Conclusion: Leptin and resistin can be used as a valuable independent predictor for the diagnosis of colorectal cancer. Also, the visceral/superficial fat rate was the most predictor.

Background: Substantial evidence has supported the association between adipocytokines and many types of cancers. However, the results in the setting of colorectal cancer (CRC) remains conflicting. Aim: This study aimed to evaluate the predictive power of adipocytokines (leptin and Rrsistin) levels and abdominal fat distribution in the diagnosis of colorectal cancer. Methods: Eighty participants were recruited then divided into three groups based on the endoscopic and histopathological investigation. The recruited individuals included 30 patients with colon cancer, 25 with colonic adenoma, and 25 controls. Serum adipocytokines (leptin and resistin) levels were measured, and the quantitative fat analysis was calculated based on an abdominal CT scan. Results: Multivariable logistic regression revealed that two predictors (leptin and resistin) of CRC development could be used. Visceral/superficial fat rate was the most significant predictor among the parameters of quantitative fat analysis. Also, psoas muscle and visceral fat volume showed significant differences among the study groups. Conclusion: Leptin and resistin can be used as a valuable independent predictor for the diagnosis of colorectal cancer. Also, the visceral/superficial fat rate was the most predictor.

Background: Substantial evidence has supported the association between adipocytokines and many types of cancers. However, the results in the setting of colorectal cancer (CRC) remains conflicting. Aim: This study aimed to evaluate the predictive power of adipocytokines (leptin and Rrsistin) levels and abdominal fat distribution in the diagnosis of colorectal cancer. Methods: Eighty participants were recruited then divided into three groups based on the endoscopic and histopathological investigation. The recruited individuals included 30 patients with colon cancer, 25 with colonic adenoma, and 25 controls. Serum adipocytokines (leptin and resistin) levels were measured, and the quantitative fat analysis was calculated based on an abdominal CT scan. Results: Multivariable logistic regression revealed that two predictors (leptin and resistin) of CRC development could be used. Visceral/superficial fat rate was the most significant predictor among the parameters of quantitative fat analysis. Also, psoas muscle and visceral fat volume showed significant differences among the study groups. Conclusion: Leptin and resistin can be used as a valuable independent predictor for the diagnosis of colorectal cancer. Also, the visceral/superficial fat rate was the most predictor.

Purpose To assess the value of secondary signs in helping to diagnose ligamentum teres (LT) injuries. Materials and methods Seventy-nine patients enrolled in a prospective case-control study performed MRI examination of the hip joints. Two groups identified according to their clinical presentation. Group I [54 patients] with clinically suspicious LT injury, Group II [25 patients] with no clinical suspicion of such diagnosis considered as control group examining both hip joints [total 50 examined joints]. Patients of the 1st group performed sonar-guided MR arthrography. Secondary MR signs are correlated with the occurrence of LT injuries. Consensus Diagnosis employs a 5 point confidence score. Results Thirty-one cases show LT injuries in which Bone marrow edema, joint effusion, and coincidental intra-articular pathology was found in 77%, 29% and 19% of cases respectively with (p-value ≤0.001). The combined secondary signs are present in 83% of cases with LT injuries (p ≤ 0.001). The significant alteration in dimensions is in width with mean cut off 4.9 mm of injured LT with 87% specificity. Almost perfect agreement (K = 0.91, p ≤ 0.001) recorded in the consensus interpretation between the two radiologists. Conclusion The presence of the secondary signs of LT injury raises the suspicion for such diagnosis.