Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where S. Muzaffar is active.

Publication


Featured researches published by S. Muzaffar.


Journal of Neuroimaging | 2003

Brain CT and MRI Findings in 100 Consecutive Patients with Intracranial Tuberculoma

Mohammad Wasay; Bhojo A. Kheleani; Mahesh K. Moolani; Jazia Zaheer; Margaret Pui; Sheema H Hasan; S. Muzaffar; Rohit Bakshi; Arif R. Sarawari

Objective. The characteristics of intracranial tuberculoma on computed tomography (CT) and magnetic resonance imaging (MRI) are not well known. The authors reviewed the features of tuberculoma on CT scans and MRI. The authors also correlated the MRI characteristics on various pulse sequences with neuropathological findings. Methods. The charts of patients with intracranial tuberculoma were consecutively reviewed during the period from 1988 to 1999. The diagnosis of tuberculoma was based on pathology (n = 19), clinical or neuroimaging response to tuberculous chemotherapy (n = 57), or evidence of systemic tuberculosis (n=24). Neuropathological specimens of tuberculoma were graded for the amount of fibrosis, gliosis, necrosis, and cell types (lymphocytes, macrophages, plasma cells). Results. One hundred patients (43 men) were identified. The age range was 1 to 75 years (mean = 30 y). The number of lesions ranged from 1 to > 100 (mean = 4.5 lesions/patient). Thirty‐one patients had solitary lesions, whereas 69 had multiple lesions. Thirty‐seven patients had hydrocephalus. After contrast administration, >450 lesions were seen on CT and MRI images in all 100 scans. The diameter of these enhancing lesions ranged from 1 mm to 5 cm. Lesions > 1 cm showed varied enhancement, including irregular shapes, ringlike shapes, open rings, and lobular patterns. Targetlike lesions were seen in only 2 patients. Other features included cortical and subcortical infarcts (12 patients), calcification (10% of lesions), edema (33 patients), meningeal enhancement (12 patients), mass effect, and/or midline shift (18 patients). A hypointense core with a hyperintense rim was the most common signal characteristic on T2‐weighted MRI. The central hypointensity on T2‐weighted and fluid‐attenuated inversion recovery (FLAIR) images reflected extensive necrosis and hypercellularity. Conclusion. Multiple tuberculomas and infratentorial locations were more common in the authorspatient population than in previous reports. The MRI signal characteristics of intracranial tuberculoma are extremely diverse. An isointense or hypointense core with a hyperintense rim on T2‐weighted and FLAIR images is the most common presentation. Core hypointensity of lesions on these images is related to necrosis and the large number of cells.


Pathology & Oncology Research | 2002

Large-Scale pathology-based cancer data - a reflection of population-based cancer data

Yasmin Bhurgri; Sheema H Hasan; Shahid Pervez; Naila Kayani; Hussainy As; S. Muzaffar; Mohammad Khurshid

Pathology-based cancer data is a high quality reflection of the patterns of cancer in the population it represents, provided the demographic details of the patients are carefully recorded. Relative frequency data is neither a replacement for population-based data nor a suggested alternative; it simply enhances the quality of population data and in very large data sets reflects the cancer patterns observed in the representative populations. Aware of the standard shortfalls of pathology-based data, the department of pathology, ‘The Aga Khan University Hospital’ (AKUH) standardized its data, representing 53.4% of the cancer data of Karachi Division (Pakistan) and also reflecting the cancer pattern of other provinces of Pakistan. This data was compared with 4 different population and institutional-based data sets. The findings substantiate the observation that “despite the problems of interpretation of data from pathology laboratories, they are an invaluable source of information on cancer patterns in much of the world where incidence data are unavailable”. If developing countries, unable to organize National Population-Based Registry should as an alternate develop National Pathology-based Registers a well targeted and monitored, a Cancer Control Program would be possible. A good quality, large-scale pathology data with demographic details of the patient recorded can also be extended to give coverage to the population.


Journal of Pakistan Medical Association | 2004

Cancer Esophagus Karachi 1995-2002:Epidemiology, Risk Factors and Trends

Yasmin Bhurgri; Naveen Faridi; L. A.G. Kazi; Saqib Ali; Hadi Bhurgri; Ahmed Usman; Jawaid Malik; Asif Bhurgri; Rashida Ahmed; S. Muzaffar; Naila Kayani; Shahid Pervez; S. H. Hasan


Journal of Pakistan Medical Association | 1999

Morphological pattern and frequency of thyroid tumors.

Shah Sh; S. Muzaffar; Irshad N. Soomro; Sheema H Hasan


Journal of Pakistan Medical Association | 2003

Renal Teratoma: a Rare Entity

Nausheen Yaqoob; Zubair Ahmed; N. Jafri; S. Muzaffar; S. H. Hasan


Journal of Pakistan Medical Association | 2003

Breast Diseases: a histopathological analysis of 3279 Cases at a Tertiary Care Center in Pakistan

M. S. Siddiqui; Naila Kayani; Shahid Pervez; Syed Abdul Aziz; S. Muzaffar; Z. Setna; M. Israr; S. H. Hasan; M. S. Gill


Journal of Pakistan Medical Association | 2004

Diagnostic Surgical Pathology: the importance of Second Opinion in a Developing Country

Zubair Ahmed; Nausheen Yaqoob; S. Muzaffar; Naila Kayani; Shahid Pervez; S. H. Hasan


Journal of Pakistan Medical Association | 2003

Spectrum of Cutaneous Appendage Tumors at Aga Khan University Hospital

Nausheen Yaqoob; Zubair Ahmad; S. Muzaffar; M. S. Gill; Irshad N. Soomro; S. H. Hasan


Journal of Pakistan Medical Association | 2001

Morphological pattern of salivary gland tumours

M. S. Gill; S. Muzaffar; Irshad N. Soomro; Naila Kayani; Hussainy As; Shahid Pervez; S. H. Hasan


Journal of Pakistan Medical Association | 2004

Pleomorphic liposarcoma in a ten year old child.

Zubair Ahmed; Shah Hu; Nausheen Yaqoob; S. Muzaffar

Collaboration


Dive into the S. Muzaffar's collaboration.

Top Co-Authors

Avatar
Top Co-Authors

Avatar

S. H. Hasan

Aga Khan University Hospital

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Zubair Ahmed

Aga Khan University Hospital

View shared research outputs
Top Co-Authors

Avatar

Irshad N. Soomro

The Aga Khan University Hospital

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Researchain Logo
Decentralizing Knowledge