179 research outputs found
Automatic Prostate Cancer Grading Using Deep Architectures
No full textProstate cancer is the second most aggressive type of cancer among men aged over 45, and it has a major effect on people's lives. Early diagnosis and grading of prostate cancer from tissue images is necessary. Large scale inter observer reproducibility exists in grading the prostate biopsies. This leads us to move towards a computer based model that can accurately detect and grade the cancerous prostate from non-cancerous one. The paper is focused on deep learning based models to automatically grade the prostate cancer from tissue microarray images. Deep learning models directly learn the features via convolutional layers. Two datasets have been used for implementation of our proposed model, Harvard dataset and Gleason Challenge 2019. Our proposed UNET based architecture is used for training as well as validation and testing. We used four different deep learning models, VGG19, ResNet50, Mobilenetv2 and ResNext50 for our UNET based encoder. With our proposed framework, we have achieved 0.728 and 0.732 average Cohen's kappa with F1 on both datasets respectively. The results show that our proposed UNET based deep learning model shows better performance as compared to other state of the art models
Efficacy of Chemotherapy for Locally Advanced and Metastatic Pancreatic Cancer: A real life experience and outcome from a tertiary referral centre.
Get PDFIntroduction: To report response rate, progression-free survival and overall survival in patients with advanced pancreatic cancer treated with different available chemotherapeutic regimens over ten years. Materials and Methods: This is a retrospective observational study. All patients with locally advanced and metastatic pancreatic cancer at Shaukat Khanum Memorial Cancer Hospital and Research Centre, Lahore, Pakistan, from January 2008 to December 2017 were studied. Data were collected from the hospital information system. The characteristics and outcomes of all the patients were analyzed. Progression-free survival and overall survival were also estimated. Kaplan Meier curves and Log-rank test were applied, and SPSS version 20 was used for data analysis. Results: Eighty-seven (87) subjects with a median age of 56 years (range 21-76) were included. Sixty-two (71%) subjects were male. The most common tumor location was the head of the pancreas in 46(53%) of all the subjects. Sixty-three (72%) subjects had elevated CA-19.9 values. About 47(54%) subjects had locally advanced pancreatic cancer (LAPC), and 40(46%) subjects had metastatic pancreatic cancer (MPC). Chemotherapy regimens used were FOLFIRINOX in 23(26%), gemcitabine-based 66(65%) and capecitabine-based in 8 (9%) of the subjects. One (1%) subject had a complete response (CR), 12(14%) had a partial response (PR), 10 (11%) had stable disease, and 59(68%) of the subjects had progressive disease (PD). The objective response rate (ORR) was 15%, and the disease control rate (DCR) was 26%. In MPC, the ORR was 10%, DCR was 18%, and tumor progression was seen in 72% of the patients, while in LAPC, the ORR was 19.1, DCR 34% and tumor progression was documented in 64% of the patients, respectively. The FOLFIRNOX chemotherapy regimen had better ORR, DCR and lesser number of progressions as compared to Gemcitabine and Capecitabine based chemotherapy regimens. The Median PFS of the whole group was 32-weeks, and the median OS was 54-weeks. The PFS was significantly higher for LAPC (39 weeks) as compared to the MPC group (25 weeks) (p=0.028). There was no statistically significant difference between the OS of these 2 groups (p=0.451). In addition, PFS was significantly higher with FOLFIRINOX chemotherapy as compared to the other chemotherapy regimens. Regarding OS, there was no statistically significant difference among all chemotherapy regimen groups (p=0.267). Conclusion: Based on our results, FOLFIRINOX remained the most effective chemotherapy regimen despite the dose modifications and toxicities in all groups, indicating that modified FOLFIRINOX could be considered as a first-line regimen in south East Asian population
Expression of B-cell Lymphoma 2 (BCL-2) in Breast Cancer
Get PDFIntroduction: Immunohistochemical expression of B-cell lymphoma 2 (BCL-2) is seen variably in invasive ductal carcinoma. This study was conducted to determine the frequency of BCL-2 expression in different histologic grades of invasive ductal carcinoma. Materials and Methods: A cross-sectional study was conducted in the Department of Pathology at Shaukat Khanum Memorial Cancer Hospital and Research Centre, Pakistan, on subjects with invasive ductal carcinoma of various histologic grades. Immunohistochemistry was done using the BCL-2 antibody in all cases. The frequency of BCL-2 positive cases in different histologic grades was noted. Post-stratification, the chi-square test was applied. A p-value ≤ 0.05 was considered significant. Results: All 52 subjects were females (100%) with a mean age of 47.58 ± 1.43 years. BCL-2 expression was observed in 28 (53.85 %) subjects with breast cancer. Out of 33 participants with grade III, 13 (39.39 %) participants were positive for BCL-2 expression. Among 18 subjects with grade II, 14 (77.78 %) subjects were positive for BCL-2 expression. Reduced frequency of BCL-2 expression was observed with increasing histologic grade (i.e., more in low-grade tumors and less in grade III), but the difference was statistically not significant. Conclusion: A differential expression of BCL-2 was observed across different grades of invasive ductal carcinoma. However, the difference was not statistically significant
اردو لغت بورڈ کی لغت: فہرستِ اغلاط
No full textUrdu Dictionary Board has successfully completed the editing and publishing of its 22-volume Urdu dictionary on historical principles, recording the largest number of entries ever enlisted in any Urdu dictionary. But when it was being compiled, Dr Shaukat Sabzwari (1908-1973), one of the editors, had pointed out in an article some of the discrepancies in the proposed manuscript relating to the entries beginning with the letter alif. A copy of this article was handed over by the author to Muhammad Ahsan Khan (Lahore), who was helping the board as an external scholar at that time and continued in the same capacity for about 50 years till the completion of the project in 2010. This article remained unpublished for some 30 years and is now being published through the courtesy of Muhammad Ahsan Khan. It discusses some errors that had crept into the entries given in the proposed manuscript of the dictionary's first volume, which was being in the process of compilation in those days. Some of the errors mentioned persisted in the final draft that was published in 1977, albeit some of them were amended
Women leaders in trade unions of Pakistan : stories of struggle and leadership
No full textFriedrich-Ebert-Stiftung, Pakistan Office ; author: Saba Gul Khattak ; illustrators Abdullah Shahid, Aiman Saleem, Areeban Shaukat Qureshi [und weitere
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