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Introduction: In the realm of computational pathology, the scarcity and restricted diversity of genitourinary (GU) tissue datasets pose significant challenges for training robust diagnostic models. This study explores the potential of Generative Adversarial Networks (GANs) to mitigate these limitations by generating high-quality synthetic images of rare or underrepresented GU tissues. We hypothesized that augmenting the training data of computational pathology models with these GAN-generated images, validated through pathologist evaluation and quantitative similarity measures, would significantly enhance model performance in tasks such as tissue classification, segmentation, and disease detection., Methods: To test this hypothesis, we employed a GAN model to produce synthetic images of eight different GU tissues. The quality of these images was rigorously assessed using a Relative Inception Score (RIS) of 1.27 ± 0.15 and a Fréchet Inception Distance (FID) that stabilized at 120, metrics that reflect the visual and statistical fidelity of the generated images to real histopathological images. Additionally, the synthetic images received an 80% approval rating from board-certified pathologists, further validating their realism and diagnostic utility. We used an alternative Spatial Heterogeneous Recurrence Quantification Analysis (SHRQA) to assess the quality of prostate tissue. This allowed us to make a comparison between original and synthetic data in the context of features, which were further validated by the pathologist's evaluation. Future work will focus on implementing a deep learning model to evaluate the performance of the augmented datasets in tasks such as tissue classification, segmentation, and disease detection. This will provide a more comprehensive understanding of the utility of GAN-generated synthetic images in enhancing computational pathology workflows., Results: This study not only confirms the feasibility of using GANs for data augmentation in medical image analysis but also highlights the critical role of synthetic data in addressing the challenges of dataset scarcity and imbalance., Conclusions: Future work will focus on refining the generative models to produce even more diverse and complex tissue representations, potentially transforming the landscape of medical diagnostics with AI-driven solutions.

Lung cancer is the leading cause of cancer-associated mortality, with a 5-year survival of 19% for all types of lung cancer. Lymphoid malignancies of the lung have a significantly better prognosis, with 5-year survival approaching 90%, making it very important to identify these patients. As the signs and symptoms, laboratory investigations, and radiological features are non-specific and vague and the histological confirmation is invasive, they are usually either not diagnosed or diagnosed very late. We present a case of an elderly male who was treated for months with antituberculosis treatment (ATT) before being properly evaluated and diagnosed with primary pulmonary marginal cell lymphoma. This case was unique for having gross pleural effusion as a presenting feature and having been diagnosed with the help of radial endobronchial ultrasound (EBUS).

Background: CanAssist Breast (CAB) is a prognostic test for early stage hormone receptor-positive (HR+), human epidermal growth factor receptor 2 negative (HER2-) breast cancer patients, validated on Indian and Caucasian patients. The 21-gene signature Oncotype DX (ODX) is the most widely used commercially available breast cancer prognostic test. In the current study, risk stratification of CAB is compared with that done with ODX along with the respective outcomes of these patients., Methods: A cohort of 109 early stage breast cancer patients who had previously taken the ODX test were retested with CAB, and the results respectively compared with old cut-offs of ODX as well as cut-offs suggested by TAILORx, a prospective randomized trial of ODX. Distant metastasis-free survival after 5 years was taken as the end point., Results: CanAssist Breast stratified 83.5% of the cohort into low-risk and 16.5% into high-risk. With the TAILORx cut-offs, ODX stratified the cohort into 89.9% low-risk and 10.1% into high-risk. The low, intermediate, and high-risk groups with ODX old cut-offs were 62.4%, 31.2%, and 6.4%, respectively. The overall concordance of CAB with ODX using both cut-offs is 75%-76%, with ~82%-83% concordance in the low-risk category of these tests. The NPV of the low-risk category of CAB was 93.4%, and of ODX with TAILORx cut-offs was 91.8% and 89.7% with old cut-offs., Conclusions: Compared to the concordance reported for other tests, CAB shows high concordance with ODX, and in addition shows comparable performance in the patient outcomes in this cohort. CAB is thus an excellent and cost-effective alternative to ODX., (© 2020 OncoStem Diagnostics. Cancer Medicine published by John Wiley & Sons Ltd.)

Fine-needle aspiration cytology (FNAC) is a preliminary test for the diagnosis of thyroid lesions. We hereby report a rare case of medullary thyroid carcinoma (MTC) co-existing with Hashimoto's thyroiditis (HT). This case was substantiated with ancillary tests on cytology material to give a novel insight. A 60-year-old female presented clinically with diffuse enlargement of the thyroid, and right-side nodule on ultrasonography. FNAC of the isthmic area showed features of HT, while cytology of right-side nodule displayed sheets of plasmacytoid cells and frequent scattered large bizarre and pleomorphic cells, lymphoglandular bodies and pale eosinophilic material. The differential diagnosis of MTC with co-existent HT or high-grade lymphoma was considered. To establish the diagnosis, serum calcitonin and ancillary studies on aspirated material were carried out. High serum calcitonin (7251 pg/mL), Congophilia on smears, and CD 45-ve; CD56+ve expression of tumor cells on flowcytometric analysis established the diagnosis of MTC over lymphoma. This diagnosis was further confirmed upon histopathology. Ancillary studies on aspirated material established the diagnosis of MTC and excluded the diagnosis of lymphoma. Establishing the correct diagnosis was cardinal in such a scenario as these diseases have extremely diverse management., (© 2019 Wiley Periodicals, Inc.)

Use of proteomic strategies to identify a risk classifier that estimates probability of distant recurrence in early-stage hormone receptor (HR)-positive breast cancer is relevant to physiological cellular function and therefore to intrinsic tumor biology. We used a 298-sample retrospective training set to develop an immunohistochemistry-based novel risk classifier called CanAssist-Breast (CAB) which combines 5 prognostically relevant biomarkers and 3 clinico-pathological parameters to arrive at probability of distant recurrence within 5 years from diagnosis. Five selected biomarkers, namely, CD44, ABCC4, ABCC11, N-cadherin, and pan-cadherin, were chosen based on their role in tumor metastasis. The chosen biomarkers represent the hallmarks of cancer and are distinct from other proliferation and gene expression-based prognostic signatures. The 3 clinico-pathological parameters integrated into the machine learning-based CAB algorithm are tumor size, tumor grade, and node status. These features are used to calculate a "CAB risk score" that classifies patients into low- or high-risk groups and predicts probability of distant recurrence in 5 years. Independent clinical validation of CAB in a retrospective study comprising 196 patients indicated that distant metastasis-free survival (DMFS) was significantly different in the 2 risk groups. The difference in DMFS between the low- and high-risk categories was 19% in the validation cohort ( P  = .0002). In multivariate analysis, CAB risk score was the most significant independent predictor of distant recurrence with a hazard ratio of 4.3 ( P  = .0003). CanAssist-Breast is a precise and unique machine learning-based proteomic risk-classifier that can assist in risk stratification of patients with early-stage HR+ breast cancer., Competing Interests: Declaration of conflicting interests:The author(s) declared the following potential conflicts of interest with respect to the research, authorship, and/or publication of this article: All authors except D.C.D. and A.M. are current or former employees/consultants at OncoStem Diagnostics Private Limited which has developed the CanAssist-Breast risk classifier. M.M.B. and C.R. are co-inventors on a patent application related to this article. All other authors have no other competing interests to declare.

Decidualization alters multiple molecular pathways in endometrium to permit successful embryo implantation. We have reported that paracrine factors, including retinoids, secreted from progesterone-treated endometrial stromal cells, act on nearby epithelial cells to induce the estradiol metabolizing enzyme HSD17B2. This same induction is not seen in endometriotic stromal cells. We have also shown significant differences in retinoid uptake, metabolism and action in endometriotic tissue and stromal cells compared to normal endometrium. Here, we characterize retinoid signaling during decidualization in these cells. Endometrial and endometriotic cells were isolated, cultured and incubated and decidualized. Genes involved in retinoid metabolism and trafficking were examined using RT-PCR and Western blotting. Prolactin, a decidualization marker, was also examined. We found that both endometrial and endometriotic stromal cells express all intracellular proteins involved in retinoid uptake and metabolism. Decidualization significantly reduced the expression of the genes responsible for retinoid uptake and shuttling to the nucleus. However, expression of CRBP1, an intracellular carrier protein for retinol, increased, as did RBP4, a carrier protein for retinol in the blood, which can function in a paracrine manner. Secreted RBP4 was detected in the media from decidualized endometrial cells but not from endometriotic cells. We believe that retinoid trafficking in endometrial stromal cells during decidualization may shift to favor paracrine rather than intracrine signaling, which may enhance signaling to the adjacent epithelium. There is blunting of this signaling in endometriotic cells. These alterations in retinoid signaling may help explain the decidualization defects and deficient estradiol inactivation (via HSD17B2) seen in endometriosis., (© 2017 Society for Reproduction and Fertility.)

Introduction: Child abuse and neglect (CAN) is a significant global problem with a serious impact on the victims throughout their lives. Dentists have the unique opportunity to address this problem. However, reporting such cases has become a sensitive issue due to the uncertainty of the diagnosis. The authors are testing the knowledge of the dentists toward CAN and also trying to question the efforts of the educational institutions to improve this knowledge for the better future of the younger generation., Materials and Methods: Questionnaire data were distributed to 1,106 members regarding their knowledge, professional responsibilities, and behavior concerning child abuse., Results: There were 762 responses to the questionnaire, yielding a response rate of 68.9%. Although dentists consider themselves able to identify suspicious cases, only a small percentage of the participants correctly identified all signs of abuse and 76.8% knew the indicators of child abuse. Most of them were willing to get involved in detecting a case and about 90% believed that it is their ethical duty to report child abuse. Only 7.2% suspected an abuse case in the past. The numbers indicate a lack of awareness about CAN in these participants. No differences were observed between sexes, year of graduation, types of license, frequency at which children were treated, and formal training already received., Conclusion: A large proportion of child physical abuse cases go undocumented and unreported. The data showed that not all dental care providers and students were prepared to fulfill their legal and professional responsibilities in these situations., Clinical Significance: There should be modifications in the dental school curriculum focusing on educational experiences regarding child abuse to strengthen their capability to care and protect children.

Background: Sensitive and specific detection of malarial parasites is crucial in controlling the significant malaria burden in the developing world. Also important is being able to identify life threatening Plasmodium falciparum malaria quickly and accurately to reduce malaria related mortality. Existing methods such as microscopy and rapid diagnostic tests (RDTs) have major shortcomings. Here, we describe a new real-time PCR-based diagnostic test device at point-of-care service for resource-limited settings., Methods: Truenat® Malaria, a chip-based microPCR test, was developed by bigtec Labs, Bangalore, India, for differential identification of Plasmodium falciparum and Plasmodium vivax parasites. The Truenat Malaria tests runs on bigtec's Truelab Uno® microPCR device, a handheld, battery operated, and easy-to-use real-time microPCR device. The performance of Truenat® Malaria was evaluated versus the WHO nested PCR protocol. The Truenat® Malaria was further evaluated in a triple-blinded study design using a sample panel of 281 specimens created from the clinical samples characterized by expert microscopy and a rapid diagnostic test kit by the National Institute of Malaria Research (NIMR). A comparative evaluation was done on the Truelab Uno® and a commercial real-time PCR system., Results: The limit of detection of the Truenat Malaria assay was found to be <5 parasites/μl for both P. falciparum and P. vivax. The Truenat® Malaria test was found to have sensitivity and specificity of 100% each, compared to the WHO nested PCR protocol based on the evaluation of 100 samples. The sensitivity using expert microscopy as the reference standard was determined to be around 99.3% (95% CI: 95.5-99.9) at the species level. Mixed infections were identified more accurately by Truenat Malaria (32 samples identified as mixed) versus expert microscopy and RDTs which detected 4 and 5 mixed samples, respectively., Conclusion: The Truenat® Malaria microPCR test is a valuable diagnostic tool and implementation should be considered not only for malaria diagnosis but also for active surveillance and epidemiological intervention.

Resistance to progestin treatment is a major hurdle in the treatment of advanced and reoccurring endometrial cancer. Fenretinide is a synthetic retinoid that has been evaluated in clinical trials as a cancer therapeutic and chemo-preventive agent. Fenretinide has been established to be cytotoxic to many kinds of cancer cells. In the present study, we demonstrate that fenretinide decreased cell viability and induced apoptosis in Ishikawa cells, which are an endometrial cancer cell line, in dose dependent manner in-vitro. This effect was found to be independent of retinoic acid nuclear receptor signaling pathway. Further, we have shown that this induction of apoptosis by fenretinide may be caused by increased retinol uptake via STRA6. Silencing of STRA6 was shown to decrease apoptosis which was inhibited by knockdown of STRA6 expression in Ishikawa cells. Results of an in-vivo study demonstrated that intraperitoneal injections of fenretinide in endometrial cancer tumors (created using Ishikawa cells) in mice inhibited tumor growth effectively. Immunohistochemistry of mice tumors showed a decrease in Ki67 expression and an increase in cleaved caspase-3 staining after fenretinide treatment when compared to vehicle treated mice. Collectively, our results are the first to establish the efficacy of fenretinide as an antitumor agent for endometrial cancer both in-vitro and in-vivo, providing a valuable rationale for initiating more preclinical studies and clinical trials using fenretinide for the treatment of endometrial cancer.

Background and Objectives: Some educators have expressed concern about the quality of inpatient training received by family practice residents in community-based residency programs because of insufficient patient numbers and resources in those programs. This study compared the number, diagnoses, and lengths of stay of patients seen by first-year family practice residents in a large inner-city, university-based medical center's internal medicine service versus those in a family practice teaching service in a smaller, community-based suburban regional hospital., Methods: The adult inpatient training services of the two training sites were compared for 6 months to determine if any differences existed between the sites in patients'age, gender, primary and secondary diagnoses, average length of hospital stay, or in the number of monthly admissions., Results: A total of 247 patients were admitted to the teaching service of the suburban community hospital, while 317 patients were admitted to the teaching service at the university hospital. The average length of stay for the suburban hospital was 6.1 days and 5.7 days at the university hospital. A total of 107 different diagnoses were made on admission at Kenner Regional Medical Center, while 90 were made at University Hospital. Chest pain/angina was the most frequent diagnosis encountered at admission at both hospitals., Conclusions: Based on the two inpatient services studied, a broad variety of diagnoses and patient demographics are encountered at community-based hospitals, with similar numbers of patients, lengths of stay, and variation in diagnoses in comparison to an urban-based university hospital. The results indicate that there can be adequate numbers of patients and diagnostic variability to permit effective inpatient teaching at community-based hospitals.

Background: Upper respiratory infections (URIs) are mainly viral in nature, rendering antibiotics ineffective. Little is known about what college students believe concerning the effectiveness of antibiotics as a treatment for URIs., Methods: Students (n=425) on 3 college campuses were surveyed using a survey describing 3 variations in presentation of an uncomplicated URI. Participants were questioned about their likelihood of using a variety of treatments for the URI and about their likelihood of seeking a physician's care., Results: The percentage of students endorsing antibiotic use differed significantly by symptom complex. Likelihood of seeking medical care also differed significantly across symptom groups, with greater endorsement in the discolored nasal discharge and low-grade fever scenarios. Stepwise multiple regression analysis revealed that belief in antibiotic effectiveness for cold symptoms decreased with tic and Therapeutic increasing years of higher education. Likelihood of antibiotic use across different scenarios increased with age. Likelihood of seeking care across different scenarios was related to type of health insurance and belief in antibiotic effectiveness., Conclusions: Undergraduate college students show poor recognition of typical presentations of the common cold and have misconceptions about effective treatment. Although increasing years of college correlated with decreasing belief in antibiotics' effectiveness for a cold, more health education at the college level is recommended.

A study of clinical profile of acrochordons was carried out in 100 patients. Their association with diabetes mellitus and other disorders was studied. Acrochordons were found to be closely associated with pseudo-acanthosis nigricans, seborrhoeic keratosis, obesity and non-insulin dependent diabetes mellitus.

The efficacy of ciprofloxacin was evaluated in 25 patients with chronic folliculitis of legs in a double-blind cross over study. Though ciprofloxacin was found to be far more effective than the placebo the average remission time was only 44.5 days.