Open Access. Powered by Scholars. Published by Universities.®

Pathology Commons

Open Access. Powered by Scholars. Published by Universities.®

Articles 1 - 2 of 2

Full-Text Articles in Pathology

Metallic Implant-Related Osteosarcoma, Frawa Mohsin, Mustafa Bin Ali Zubairi, Kulsoom Fatima, Muhammad Asad Diwan Mar 2023

Metallic Implant-Related Osteosarcoma, Frawa Mohsin, Mustafa Bin Ali Zubairi, Kulsoom Fatima, Muhammad Asad Diwan

Department of Radiology

Orthopedic metallic prostheses are commonly used in the current practice of orthopedic surgery. Although, biomaterials used in these implants are generally considered to be biologically inert, there have been consequences of foreign body reactions and potential carcinogenesis. Majority of implant-related malignancies are high grade, and develop in bone or soft tissue around the implant site. No clear association has been identified between the biomaterial implanted and the type of sarcoma. We report the case of a 36-year-old male who underwent intramedullary nailing of femur for mid-shaft fracture secondary to trauma and presented with osteogenic sarcoma of femur 14 months later.


Diagnostic Accuracy Of Different Cut-Off Values Of Adenosine Deaminase Levels In Tuberculous Pleural Effusion, Kiran Iqbal Masood, Shayan Shahid, Kauser Jabeen, Joveria Farooqi, Sabeika Raza Kerawala, Muhammad Irfan Jan 2023

Diagnostic Accuracy Of Different Cut-Off Values Of Adenosine Deaminase Levels In Tuberculous Pleural Effusion, Kiran Iqbal Masood, Shayan Shahid, Kauser Jabeen, Joveria Farooqi, Sabeika Raza Kerawala, Muhammad Irfan

Department of Pathology and Laboratory Medicine

Objective: To assess the diagnostic accuracy of different cut-off values of pleural fluid adenosine deaminase levels as a diagnostic method for tuberculous pleural effusion.
Method: The prospective study was conducted from 2014 to 2016 at the Aga Khan University Hospital, Karachi, and comprised pleural fluid samples of adult patients with and without tuberculosis which were tested for adenosine deaminase levels, and divided into tuberculosis group A and non-tuberculosis group B. Sensitivity, specificity, negative predictive value and positive predictive value were calculated using different cut-offs. Data was analysed using IBM SPSS (Statistical Package for Social Sciences) version 21.0 (IBM Corp., Armonk, …