Histopathological findings in laparoscopic sleeve gastrectomy specimens.

Objective: To study the demographic data and histopathological specimen findings of patients who have undergone laparoscopic sleeve gastrectomy. Design: A retrospective descriptive study. Setting: Pathology and Laboratory Medicine Department, Al-Ahli Hospital, Doha, Qatar. Methods: Data of patients who underwent laparoscopic sleeve gastrectomy between January 1, 2009 and December 31, 2016 were retrospectively collected from the laboratory information system of Al-Ahli Hospital. Results: A total of 342 patients underwent laparoscopic sleeve gastrectomy. Among these patients, 294 (86%) were Qatari and 241 (70%) were female. The patient age ranged from 13 to 72 years, and most patients were in the 31-40-year age group. Histological examination of specimens showed that lymphocytic aggregates in the lamina propria were the most frequent histopathological finding (171, 50%), followed by no remarkable pathological finding (98, 28.6%). The other pathological findings were follicular gastritis, fundic gland polyps, and acute and chronic gastritis. Conclusion: Our findings clearly indicate the need for routinely performing histopathological examination of laparoscopic sleeve gastrectomy specimens. The study also highlights lymphocytic aggregates as the most common histopathological finding.

What Matters Most: Determinants Associated with the Selection of Medical Residencies in Qatar.

Purpose: There have been several studies into medical student career decision making in occidental countries (eg US, UK), but medical career selection in a Middle Eastern context has not been as well studied. This study aims to explore determinants underpinning medical students' residency choice in Qatar. Patients and methods: During the Fall semester of the 2022-2023 academic year, all (n=358) medical students from the College of Medicine at Qatar University were invited to participate in an online explorative questionnaire about students' career choices and the factors determining their selection. Results: Of the 358 students, 184 responded (51%). Respondents had a mean age of 20 years; the majority were female (73.9%), Qatari (54.3%), unmarried (97.3%), and enrolled in a pre-clerkship year (55.0%). The most important career determinant was specialty-specific factors. The relative importance of other determinants differed by gender and stage of training. Among our respondents, male students were more likely to rate role models and influencers as being important to their choice, while female students and Qatari students overall were more likely to cite societal obligation. Medical students in Qatar seemed to have career preferences in mind upon entry into medical education. Later-year students were more likely to identify the importance of work-life balance and place of practice, but were less likely to rank prestige and income as an important determinant. Conclusion: The results of this baseline study suggest that socioeconomic and cultural context influence medical student career decisions.

The Role of Apolipoproteins in the Commonest Cancers: A Review.

Apolipoproteins (APOs) are vital structural components of plasma lipoproteins that are involved in lipid metabolism and transport. Recent studies have reported an association between apolipoprotein dysregulation and the onset of a variety of human cancers; however, the role of certain APOs in cancer development remains unknown. Based on recent work, we hypothesize that APOs might be involved in the onset of cancer, with a focus on the most common cancers, including breast, lung, gynecological, colorectal, thyroid, gastric, pancreatic, hepatic, and prostate cancers. This review will focus on the evidence supporting this hypothesis, the mechanisms linking APOs to the onset of cancer, and the potential clinical relevance of its various inhibitors.

Large expanding splenic pseudocyst: A case report and review of literature.

INTRODUCTION AND IMPORTANCE: Splenic pseudocysts are extremely uncommon. Most of these cysts are asymptomatic and may result from previous blunt abdominal trauma. We report an interesting uncommon case of large splenic pseudocyst without history of previous abdominal trauma. CASE PRESENTATION: A 56 year old male patient, presented with symptoms of pain in the left side of middle back and discomfort in the left hypochondrium for few months. His physical examination was unremarkable. The abdominal Ultrasound and contrast-enhanced Computed tomography showed a large splenic cyst occupying most of the splenic parenchyma. Echinococcus multilocularis antibody test was negative. The differential diagnosis of this case included non-parasitic splenic cysts. The patient underwent elective exploratory laparoscopy which was converted to laparotomy with total splenectomy. Histopathological examination of the specimen revealed a splenic pseudocyst. CLINICAL DISCUSSION: The splenic cyst in this case was symptomatic due to its large size. It was hard to elicit an etiology as there was no history of abdominal trauma, infection, or degenerative disease. The main factors in selecting either conservative or radical surgical approach for such cases are the cyst location, cyst size, and the residual splenic parenchyma. CONCLUSION: The goal of splenic pseudocysts treatment is to relieve symptoms and avoid complications. Partial splenectomy is the recommended procedure when the size and location of the cyst allow preservation of at least 25% of splenic parenchyma. Otherwise, Total splenectomy is unavoidable.

An Innovative Platform Merging Elemental Analysis and Ftir Imaging for Breast Tissue Analysis.

Histopathology and immunohistology remain the gold standard for breast cancer diagnostic. Yet, these approaches do not usually provide a sufficiently detailed characterization of the pathology. The purpose of this work is to demonstrate for the first time that elemental analysis and Fourier transform infrared spectroscopy microscopic examination of breast tissue sections can be merged into one dataset to provide a single set of markers based on both organic molecules and inorganic trace elements. For illustrating the method, 6 mammary tissue sections were used. Fourier transform infrared (FTIR) spectroscopy images reported a fingerprint of the organic molecules present in the tissue section and laser ablation elemental analysis (LA-ICP-MS) images brought inorganic element profiles. The 6 tissue sections provided 31 106 and 150,000 spectra for FTIR and LA-ICP-MS spectra respectively. The results bring the proof of concept that breast tissue can be analyzed simultaneously by FTIR spectroscopy and laser ablation elemental analysis (LA-ICP-MS) to provide in both case reasonably high resolution images. We show how to bring the images obtained by the two methods to a same spatial resolution and how to use image registration to analyze the data originating from both techniques as one block of data. We finally demonstrates the elemental analysis is orthogonal to all FTIR markers as no significant correlation is found between FTIR and LA-ICP-MS data. Combining FTIR and LA-ICP-MS imaging becomes possible, providing two orthogonal methods which can bring an unprecedented diversity of information on the tissue. This opens a new avenue of tissue section analyses providing unprecedented diagnostic potential.

Discrimination of breast cancer from benign tumours using Raman spectroscopy.

Breast cancer is the most common cancer among women worldwide, with an estimated 1.7 million cases and 522,000 deaths in 2012. Breast cancer is diagnosed by histopathological examination of breast biopsy material but this is subjective and relies on morphological changes in the tissue. Raman spectroscopy uses incident radiation to induce vibrations in the molecules of a sample and the scattered radiation can be used to characterise the sample. This technique is rapid and non-destructive and is sensitive to subtle biochemical changes occurring at the molecular level. This allows spectral variations corresponding to disease onset to be detected. The aim of this work was to use Raman spectroscopy to discriminate between benign lesions (fibrocystic, fibroadenoma, intraductal papilloma) and cancer (invasive ductal carcinoma and lobular carcinoma) using formalin fixed paraffin preserved (FFPP) tissue. Haematoxylin and Eosin stained sections from the patient biopsies were marked by a pathologist. Raman maps were recorded from parallel unstained tissue sections. Immunohistochemical staining for estrogen receptor (ER) and human epidermal growth factor receptor 2 (HER2/neu) was performed on a further set of parallel sections. Both benign and cancer cases were positive for ER while only the cancer cases were positive for HER2. Significant spectral differences were observed between the benign and cancer cases and the benign cases could be differentiated from the cancer cases with good sensitivity and specificity. This study has shown the potential of Raman spectroscopy as an aid to histopathological diagnosis of breast cancer, in particular in the discrimination between benign and malignant tumours.

Correction: Discrimination of breast cancer from benign tumours using Raman spectroscopy.

[This corrects the article DOI: 10.1371/journal.pone.0212376.].

Using spectral imaging for the analysis of abnormalities for colorectal cancer: When is it helpful?

The spectral imaging technique has been shown to provide more discriminative information than the RGB images and has been proposed for a range of problems. There are many studies demonstrating its potential for the analysis of histopathology images for abnormality detection but there have been discrepancies among previous studies as well. Many multispectral based methods have been proposed for histopathology images but the significance of the use of whole multispectral cube versus a subset of bands or a single band is still arguable. We performed comprehensive analysis using individual bands and different subsets of bands to determine the effectiveness of spectral information for determining the anomaly in colorectal images. Our multispectral colorectal dataset consists of four classes, each represented by infra-red spectrum bands in addition to the visual spectrum bands. We performed our analysis of spectral imaging by stratifying the abnormalities using both spatial and spectral information. For our experiments, we used a combination of texture descriptors with an ensemble classification approach that performed best on our dataset. We applied our method to another dataset and got comparable results with those obtained using the state-of-the-art method and convolutional neural network based method. Moreover, we explored the relationship of the number of bands with the problem complexity and found that higher number of bands is required for a complex task to achieve improved performance. Our results demonstrate a synergy between infra-red and visual spectrum by improving the classification accuracy (by 6%) on incorporating the infra-red representation. We also highlight the importance of how the dataset should be divided into training and testing set for evaluating the histopathology image-based approaches, which has not been considered in previous studies on multispectral histopathology images.