RESUMO
BACKGROUND: The study was aimed at identifying how useful Computer-Aided Detection (CAD) could be in reducing false-negative reporting in mammography and early detection of breast cancer at an early stage as the best protection is early detection. MATERIALS AND METHODS: This retrospective study was conducted in a tertiary care setup of Atomic Energy Cancer Hospital, Nuclear Medicine, Oncology and Radiotherapy Institute (AECH-NORI), where 33 patients with suspicious findings on mammography and subsequent biopsy-proven malignancy were included. The findings of mammography including the lesion type, breast parenchymal density, and sensitivity of CAD detection, as well as the final biopsy results, were recorded. A second group of 40 normal screening mammograms was also included who had no symptoms, had Breast Imaging-Reporting and Data System category I(BI-RADS I) mammograms, and had no pathology identified on correlative sonomammography as well. RESULTS: A total of 35 masses, 11 pleomorphic clusters of microcalcification, five clustered foci of macrocalcification, and nine lesions with pleomorphic clusters of microcalcification and two with pleomorphic clusters of microcalcification only were included. The CAD system was able to identify 26 masses (74%), eight lesions with pleomorphic clusters of microcalcification (72%), five foci of macrocalcification (100%), six lesions with pleomorphic clusters of microcalcification (66%), and two pleomorphic clusters of microcalcification without formed mass (100%). The overall sensitivity of the CAD system was 75.8%. CAD was able to identify 13 out of 16 masses with invasive ductal carcinoma (81.3%), eight out of nine lesions proven as invasive ductal carcinoma with ductal carcinoma in situ (DCIS) (88.9%), two out of five masses with invasive lobular carcinoma (40%), four out of four masses with invasive mammary carcinoma (100%), and zero out of one lesion identified as medullary carcinoma (0%). There was 100% detection for pleomorphic clusters of microcalcification without formed mass with CAD marking two out of two mammograms. CONCLUSION: CAD performed better with combined lesions, accurately marked pleomorphic clusters of microcalcification, and identified small lesions in predominant fibrofatty parenchymal density but was not reliable in dense breast, areas of asymmetric increased density, summation artifacts, edematous breast parenchyma, and retroareolar lesions. It also performed poorly with ill-defined lesions of invasive lobular carcinoma. Human intelligence hence beats CAD for the diagnosis of breast malignancy in mammograms as per our experience.
RESUMO
OBJECTIVE: To evaluate and compare the effectiveness of tubeless percutaneous nephrolithotomy (PCNL) and tubed PCNL by using small bore nephrostomy tube (12Fr) in children for the management of nephrolithiasis. MATERIAL AND METHODS: This study was a retrospective analysis of 35 children where tubed PCNL (Group 1) was done in 18, and tubeless PCNL (group 2) in 17 patients from January 2010 to December 2016. Charts were reviewed for age, mass, stone size, operative time, hospital stay and stone-free rates. These variables were compared between the two groups. SPSS version 21 was used for data analysis. The data were shown as mean±standard deviation for continuous variables. Categorical variables were presented in percentages. RESULTS: There is no difference in terms of age, stone sizes, operative times, hospital stays, stone-free rates and post-PCNL complications between the two groups (p>0.05). The mean drop in hemoglobin level was 0.7±0.1 g/dL and 1.3±0.2 g/dL in Groups 1 and 2, respectively (p=0.01). CONCLUSION: Tubeless PCNL in children is a safe option in well selected cases.