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Colorectal cancers in ulcerative colitis from a low-prevalence area for colon cancer

World Journal of Gastroenterology 2015年第12期21卷 3644-3649页

作者： Devendra Desai Sudeep Shah Abhijit Deshmukh Philip Abraham Anand Joshi Tarun Gupta ramesh deshpande Varun Khandagale Siji George Division of Gastroenterology P.D Hinduja Hospital Division of Gastrointestinal surgery Department of Surgery P.D Hinduja Hospital Division of Pathology Department of Pathology P.D Hinduja Hospital

AIM: To determine the incidence and risk factors for colorectal cancer(CRC) in patients with ulcerative colitis from a low prevalence region for ***: Our prospective database yielded a cohort of 430 patients [age: 44 ± 14.6 years; 248 men(57.7%)] with ulcerative colitis(median disease duration 6, range: 1-39 years) for analysis. Of these, 131(30.5%) had left-sided colitis and 159(37%) extensive colitis. Patients with histologically confirmed CRC within the segment with colitis were compared with those without CRC, to determine the risk factors for the development of ***: Twelve patients(2.8%) developed CRC. The overall incidence density was 3.56/1000 patient-years of disease- 3/1000 in the first 10 years, 3.3/1000 at 10 to 20 years, and 7/1000 at > 20 years. Three of our 12 patients developed CRC within 8 years of disease onset. On univariate analysis, extensive colitis, longer duration of disease, and poor control of disease were associated with development of CRC. On multivariate analysis, duration of disease and extent of colitis remained ***: CRC occurred in 2.8% of patients with ulcerative colitis in our population- an incidence density similar to that in Western countries in spite of a low overall prevalence of colon cancer in our *** risk increased with extent and duration of disease.

关键词： Colon cancer Dysplasia Epidemiology Inflammatory b

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Predictive value of multi-detector computed tomography for accurate diagnosis of serous cystadenoma:Radiologic-pathologic correlation

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World Journal of Gastroenterology 2009年第22期15卷 2739-2747页

作者： Anjuli A Shah Nisha I Sainani Avinash Kambadakone ramesh Zarine K Shah Vikram deshpande Peter F Hahn Dushyant V Sahani Department of Radiology Division of Abdominal Imaging and Interventional RadiologyWhite Bldg.270Massachusetts General Hospital Department of Pathology Massachusetts General Hospital

AIM： To identify multi-detector computed tomography （MDCT） features most predictive of serous cystadenomas （SCAs）, correlating with histopathology, and to study the impact of cyst size and MDCT technique on reader performance. METHODS： The MDCT scans of 164 patients with surgically verified pancreatic cystic lesions were reviewed by two readers to study the predictive value of various morphological features for establishing a diagnosis of SCAs. Accuracy in lesion characterization and reader confidence were correlated with lesion size （≤3 cm or 〉≥3 cm） and scanning protocols （dedicated vs routine）. RESULTS： 28/164 cysts （mean size, 39 mm; range, 8-92 mm） were diagnosed as SCA on pathology. The MDCT features predictive of diagnosis of SCA were microcystic appearance （22/28, 78.6%）, surface Iobulations （25/28, 89.3%） and central scar （9/28, 32.4%）. Stepwise logistic regression analysis showed that only microcystic appearance was significant for CT diagnosis of SCA （P = 0.0001）. The sensitivity, specificity and PPV of central scar and of combined microcystic appearance and Iobulations were 32.4%/100%/100% and 68%/100%/100%, respectively. The reader confidence was higher for lesions 〉 3 cm （P = 0.02） and for MDCT scans performed using thin collimation （1.25-2.5 mm） compared to routine 5 mm collimation exams （P 〉 0.05）. CONCLUSION： Central scar on MDCT is diagnostic of SCA but is seen in only one third of SCAs. Microcystic morphology is the most significant CT feature in diagnosis of SCA. A combination of microcystic appearance and surface Iobulations offers accuracy comparable to central scar with higher sensitivity.

关键词： Pancreas Serous cystadenoma Multidetector computed tomography Central scar Lobulations Microcystic

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Adaptive Cloud Refinement(ACR)-Adaptation in Meshless Framework

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Communications in Computational Physics 2012年第4期11卷 1372-1385页

作者： M.Somasekhar S.Vivek Keshav.S.Malagi V.ramesh S.M.deshpande CTFD CSIR–National Aerospace LaboratoriesBangaloreIndia Dept.of Mechanical Engineering Indian Institute of Technology MadrasChennaiIndia Engineering Mechanics Unit JNCASRBangaloreIndia

In the present work adaptation in meshless framework is *** grid adaptation or mesh adaptation is quite well developed area in case of conventional grid based solvers and is popularly known asAdaptivemesh refinement(AMR).In such cases the adaptation is done by subdividing the cells or elements into finer cells or *** case ofmeshlessmethods there are no cells or elements but only a cloud of *** this work we propose to achieve the meshless adaptation by locally refining the point density in the regions demanding higher *** results into an adaptive enriched cloud of *** call this method as Adaptive Cloud Refinement(ACR).Themeshless solvers need connectivity information,which is a set of neighboring *** is crucial part of meshless *** because of refining point density,the connectivity of nodes in such regions gets modified and hence has to be *** efficient connectivity update must exploit the fact that the node distribution would be largely unaffected except the region of *** connectivity updating needs to be done locally,only in these *** this paper we also present an extremely fast algorithm to update connectivity over adapted cloud called as ACU(Automatic Connectivity Update).

关键词： KFVS LSKUM meshless methods adaptation ACR ACU

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