Background: Hodgkin's Lymphoma (HL) is a rare malignancy characterised histologically by the presence of Reed-Sternberg cells. Diagnosis of lymphomas can be difficult due to broad, non-specific presentations of disease, which can be similar to several other conditions ranging from infective, inflammatory or malignant causes, with one of the most common differentials being tuberculosis (TB). We aim to highlight the diagnostic dilemma of TB versus lymphoma with an atypical presentation of HL and explored areas for further research and improvement with a non-systematic literature review using MEDLINE database and Google Scholar. Written consent was obtained from the patient in compliance with ethical guidelines.
Case Presentation: A 23-year-old Asian female initially presented to rheumatology with over a one-year history of neuropathic pain, alongside abnormal white cell count and inflammatory markers. This was investigated with magnetic resonance imaging resulting in an incidental finding of mediastinal mass and pulmonary infiltrates. An initial diagnosis of TB was made despite testing negative for acid-fast bacilli and anti-tubercular treatment was commenced. Four months later, following clinical deterioration and further investigations, a mediastinal biopsy assisted in diagnosing Stage IV HL.
Conclusions: Lymphoma is often misdiagnosed as TB, prolonging time to treatment and may adversely impact patient prognosis due to disease progression. Existing TB guidelines for smear-negative cases are not clear when to consider alternative diagnoses. In smear-negative TB, lymphoma should be considered as a differential and definitive diagnostic tests such as molecular testing and histological examination of biopsies should be considered earlier in the diagnostic work-up to prevent diagnostic delay.
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http://dx.doi.org/10.1186/s13256-021-02927-x | DOI Listing |
Biomedicines
December 2024
Department of Pediatric Anesthesiology and Intensive Therapy, Medical University of Warsaw, 02-091 Warsaw, Poland.
Epstein-Barr virus (EBV) usually causes mild, self-limiting, or asymptomatic infection in children, typically infectious mononucleosis. The severe course is more common in immunocompromised patients. Neurological complications of primary infection, reactivation of the latent infection, or immune-mediated are well-documented.
View Article and Find Full Text PDFChilds Nerv Syst
January 2025
Department of Neuropathology, All India Institute of Medical Sciences, New Delhi, 110029, India.
Cerebral hydatid disease, caused by Echinococcus granulosus, is uncommon in children but presents significant diagnostic challenges due to its potential to mimic malignancy. Only a handful of cases with such a dilemma have been reported yet in the literature. We report a case of a 12-year-old female presenting with progressive headache and seizures, initially suspected to be a pilocytic astrocytoma.
View Article and Find Full Text PDFRheumatol Adv Pract
January 2025
[This corrects the article DOI: 10.1093/rap/rkae117.020.
View Article and Find Full Text PDFCurr Drug Saf
January 2025
Hull and East Yorkshire Hospitals NHS Trust, Department of Elderly/ Frailty Medicine, United Kingdom.
Background: Mycophenolate mofetil (MMF) is an immunosuppressant commonly used for treating autoimmune diseases.
Case Presentation: We report a diagnostically challenging case of MMF-induced colitis in a patient after 3 years of initiation of MMF therapy. A 76-year-old Caucasian female with a history of Chronic inflammatory demyelinating polyneuropathy receiving MMF presented to the hospital with a 7-weeks history of watery diarrhoea and crampy abdominal pains.
Mod Pathol
January 2025
Department of Pathology, University of Pittsburgh Medical Center, PA, USA; Computational Pathology and AI Center of Excellence (CPACE), University of Pittsburgh School of Medicine, Pittsburgh, PA, USA. Electronic address:
This manuscript serves as an introduction to a comprehensive seven-part review article series on artificial intelligence (AI) and machine learning (ML) and their current and future influence within pathology and medicine. This introductory review provides a comprehensive grasp of this fast-expanding realm and its potential to transform medical diagnosis, workflow, research, and education. Fundamental terminology employed in AI-ML is covered using an extensive dictionary.
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