The diagnosis of tuberculosis (TB) is challenging to make due to the non-specific signs and symptoms that patients usually present with. Furthermore, the endoscopic appearance of colonic TB is not specific and can mimic other more common pathologies such as Crohn's disease and colonic malignancy. We report the case of a 66-year-old female who presented for a routine screening colonoscopy and was diagnosed with disseminated TB after histopathological examination of the discovered polyps.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7946609PMC
http://dx.doi.org/10.7759/cureus.13216DOI Listing

Publication Analysis

Top Keywords

diagnosis tuberculosis
8
screening colonoscopy
8
polyp diagnosis
4
tuberculosis screening
4
colonoscopy diagnosis
4
tuberculosis tb is
4
tb is challenging
4
challenging non-specific
4
non-specific signs
4
signs symptoms
4

Similar Publications

Background: When Behçet's disease is complicated with gastrointestinal ulcers, it is referred to as intestinal Behçet's disease (BD). Clinically uncommon, this condition can involve the entire gastrointestinal tract, often presenting diagnostic challenges in differentiation from Crohn's disease.

Methods: In this case, atypical BD was diagnosed through endoscopic examination, whereas latent tuberculosis infection (LBTI) was confirmed via T-SPOT and PPD tests.

View Article and Find Full Text PDF

Purpose: In the setting of an established childhood pneumococcal vaccination programme with immediate initiation and treatment of antiretroviral therapy (ART) for people living with HIV (PLWH), the risk of adult pneumococcal community-acquired pneumonia (CAP) is not recently described. We aimed to investigate CAP incidence, recurrence, mortality, risk factors and microbiology before and during the COVID-19 pandemic.

Participants: Adults aged ≥18 years were enrolled in three South African provinces from March 2019 to October 2021, with a brief halt during the initial COVID-19 lockdown.

View Article and Find Full Text PDF

%diag_test: a generic SAS macro for evaluating diagnostic accuracy measures for multiple diagnostic tests.

BMC Med Inform Decis Mak

January 2025

Institute of Mathematical Sciences Centre for Health Analytics and Modelling (CHaM), Strathmore University, Nairobi, Kenya.

Background: Measures of diagnostic test accuracy provide evidence of how well a test correctly identifies or rules-out disease. Commonly used diagnostic accuracy measures (DAMs) include sensitivity and specificity, predictive values, likelihood ratios, area under the receiver operator characteristic curve (AUROC), area under precision-recall curves (AUPRC), diagnostic effectiveness (accuracy), disease prevalence, and diagnostic odds ratio (DOR) etc. Most available analysis tools perform accuracy testing for a single diagnostic test using summarized data.

View Article and Find Full Text PDF

Primary ciliary dyskinesia (PCD, OMIM 244400) is a rare genetic disorder that affects motile cilia and is characterised by impaired mucociliary clearance of the airway epithelium, which results in chronic upper and lower airway infections. While short-read next-generation sequencing technology has been used for the genetic testing of PCD, its effectiveness is limited in identifying variants in the gene because of the nearly identical pseudogene As we confirmed that the gene was not expressed in airway cells, we obtained nasal mucosa biopsy specimens for total RNA sequencing (RNA-seq) with library enrichment using exome oligos. Among the 34 nasal samples from patients suspected of having PCD, three aberrant splicing patterns in were identified in two samples.

View Article and Find Full Text PDF

Comparative Diagnostic Accuracy of ChatGPT-4 and Machine Learning in Differentiating Spinal Tuberculosis and Spinal Tumors.

Spine J

January 2025

Department of Spine Surgery and Orthopaedics, Xiangya Hospital, Central South University, Xiangya Road 87, Changsha 410008, China; National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Xiangya Road 87, Changsha 410008, China. Electronic address:

Background: In clinical practice, distinguishing between spinal tuberculosis (STB) and spinal tumors (ST) poses a significant diagnostic challenge. The application of AI-driven large language models (LLMs) shows great potential for improving the accuracy of this differential diagnosis.

Purpose: To evaluate the performance of various machine learning models and ChatGPT-4 in distinguishing between STB and ST.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!