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Characteristics of renal cystic and solid lesions based on contrast-enhanced computed tomography of potential kidney donors.

ABSTRACT: The presence of a few renal cysts is considered of little relevance in healthy adults, although acquired renal cystic disease occurs in advanced kidney failure. The objective of this study was to detail renal cystic and solid lesions and identify any association with clinical characteristics.Clinical-pathologic correlation.Potential kidney donors undergoing a standardized evaluation at the Mayo Clinic in 2000-2008.Age, kidney function, and chronic kidney disease risk factors.Renal cystic and solid lesions by contrast-enhanced computed tomographic images.Cyst number, diameter, and location.After excluding 8 with cystic disease, 7 of whom had autosomal dominant polycystic kidney disease, there were 1,948 potential kidney donors (42% men; mean age, 43 years). A cortical, medullary, or parapelvic cyst ?5 mm was present in 12%, 14%, or 2.8%. For ages 19-49 years, 39%, 22%, 7.9%, and 1.6% had a cortical or medullary cyst ?2, ?5, ?10, and ?20 mm in diameter. For ages 50-75 years, 63%, 43%, 22%, and 7.8% had a cortical or medullary cyst ?2, ?5, ?10, and ?20 mm in diameter. The 97.5th percentile for number of cortical and medullary cysts ?5 mm increased with age (10 for men and 4 for women in the 60- to 69-year group). After age and sex adjustment, cortical and medullary cysts ?5 mm were associated with higher 24-hour urine albumin excretion, as well as increased body surface area, hypertension, and higher glomerular filtration rate in some analyses. Angiomyolipomas, hyperdense cysts, and enhancing masses or cysts with concerning features for malignancy occurred in 2.2%, 1.2%, and 0.6% and were associated with older age (P ? 0.05 for each).Persons with known chronic kidney disease were excluded.Renal cysts are common, particularly in older men, and may be a marker of early kidney injury because they associate with albuminuria, hypertension, and hyperfiltration.

SUBMITTER: Rule AD

PROVIDER: S-EPMC3328591 | biostudies-literature | 2012 May

REPOSITORIES: biostudies-literature

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Characteristics of renal cystic and solid lesions based on contrast-enhanced computed tomography of potential kidney donors.

Rule Andrew D AD Sasiwimonphan Kewalee K Lieske John C JC Keddis Mira T MT Torres Vicente E VE Vrtiska Terri J TJ

American journal of kidney diseases : the official journal of the National Kidney Foundation 20120306 5

<h4>Background</h4>The presence of a few renal cysts is considered of little relevance in healthy adults, although acquired renal cystic disease occurs in advanced kidney failure. The objective of this study was to detail renal cystic and solid lesions and identify any association with clinical characteristics.<h4>Study design</h4>Clinical-pathologic correlation.<h4>Setting & participants</h4>Potential kidney donors undergoing a standardized evaluation at the Mayo Clinic in 2000-2008.<h4>Predict ...[more]

PMID: 22398108

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Project description:Background:Characterisation of pancreatic cystic lesions has a direct role in their management and computed tomography is the mainstay of investigation for diagnosing and characterising them. Objectives:The aim of this study was to prospectively assess the diagnostic accuracy of contrast-enhanced computed tomography (CECT) in preoperative characterisation of pancreatic cystic lesions with histopathology as the reference standard. Method:A total of 38 patients with cystic pancreatic lesions diagnosed after clinical, laboratory and sonographic evaluation, irrespective of age, were preoperatively evaluated with CECT. Images were reviewed for the general characteristics of the lesions on pre-contrast and portal venous phase images and overall diagnostic accuracy calculated. Imaging findings were compared with histopathology, or cytology and/or intra-operative findings. Results:Serous cystadenoma (SCA) was the most common cystic pancreatic lesion found in 31.6% of patients followed by mucinous cystadenoma (MCA) (26.3%), solid pseudo-papillary tumour (SPT) (21.1%) and intra-ductal papillary mucinous neoplasm (IPMN) (10.5%). Three patients (7.9%) had simple cysts and one patient (2.6%) had a lymphangioma. The diagnostic accuracy of CECT for pancreatic cystic lesions was found to be 72.5. Conclusion:The diagnostic accuracy of computed tomography (CT) was high for SCA, IPMN and pancreatic cysts, and low for MCA and SPT. Combination of a multiloculated cystic lesion with locule size of less than 20 mm, septal enhancement with relative lack of wall enhancement, central scar and lobulated outline are highly specific for SCA. Unilocular or macro-cystic pattern with locule size of more than 20 mm, female gender and wall enhancement with smooth external contour are pointers towards MCA. Solid cystic pancreatic head lesions in young females may be suggestive of SPT. A dilated main pancreatic duct in a cystic lesion with internal septations may point towards IPMN. Fluid attenuation lesions with imperceptible non-enhancing wall indicate pancreatic cysts. Lastly, pseudocysts and neuroendocrine tumours with cystic components are great mimickers of pancreatic cystic lesions, and a history of pancreatitis and hormonal profile of patients should always be sought.

Project description:Background: Serous cystadenoma (SCA), mucinous cystadenoma (MCN), and intraductal papillary mucinous neoplasm (IPMN) are three subtypes of pancreatic cystic neoplasm (PCN). Due to the potential of malignant-transforming, patients with MCN and IPMN require radical surgery while patients with SCA need periodic surveillance. However, accurate pre-surgery diagnosis between SCA, MCN, and IPMN remains challenging in the clinic. Methods: This study enrolled 164 patients including 76 with SCA, 40 with MCN and 48 with IPMN. Patients were randomly split into a training cohort (n = 115) and validation cohort (n = 41). We performed statistical analysis and Boruta method to screen significantly distinct clinical factors and radiomics features extracted on pre-surgery contrast-enhanced computed tomography (CECT) images among three subtypes. Three reliable machine-learning algorithms, support vector machine (SVM), random forest (RF) and artificial neural network (ANN), were utilized to construct classifiers based on important radiomics features and clinical parameters. Precision, recall, and F1-score were calculated to assess the performance of the constructed classifiers. Results: Nine of 547 radiomics features and eight clinical factors showed a significant difference among SCA, MCN, and IPMN. Five radiomics features (Histogram_Entropy, Histogram_Skeweness, LLL_GLSZM_GLV, Histogram_Uniformity, HHL_Histogram_Kurtosis), and four clinical factors, including serum carbohydrate antigen 19-9, sex, age, and serum carcinoembryonic antigen, were identified important by Boruta method. The SVM classifier achieved an overall accuracy of 73.04% in training cohort and 71.43% in validation cohort, respectively. The RF classifier achieved overall accuracy of 84.35 and 79.59%, respectively. The constructed ANN model showed an overall accuracy of 77.39% in the training dataset and 71.43% in the validation dataset. All the three classifiers showed high F1 score for differentiation among the three subtypes. Conclusion: Our study proved the feasibility and translational value of CECT-based radiomics classifiers for differentiation among SCA, MCN, and IPMN.

Dataset Information

Characteristics of renal cystic and solid lesions based on contrast-enhanced computed tomography of potential kidney donors.

Publications

Characteristics of renal cystic and solid lesions based on contrast-enhanced computed tomography of potential kidney donors.

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