Zarna Shah
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Zarna Shah has a total of 7 co-authors. Here are the top co-authors by number of shared publications:
- Sahil Shah
MD Radiologist Department of Radiodiagnosis Smt. NHL Municipal Medical College Ahmedabad India
2 shared publications - Vismit Gami
Smt. NHL Municipal Medical College
2 shared publications - Dev Desai
Department of Psychiatry, Dr . D. Y. Patil Medical College Hospital And Research Centre, Dr. D. Y. Patil Vidyapeeth(Deemed to be University), Pimpri
1 shared publication - Saloni N. Shah1 shared publication
- Spruha Jhuvar1 shared publication
- Tushar Teraiya
MD Radiology Senior Resident Doctor Department of Radiodiagnosis Smt. NHL Municipal Medical College Ahmedabad India
1 shared publication
Latest Publications
- Open Access
- 8 September 2025
- Published by Green Publication
- Vol. 32 (8) , 246-254
CLINICAL UTILITY OF ULTRASONOGRAPHY BI-RADS IN THE EVALUATION OF BREAST CANCER IN PATIENTS WITH PALPABLE BREAST MASSES
Introduction: Diagnosing and stage breast cancer with an easy and widely useable method that can be employed worldwide in the poorest and wealthiest settings is important. Mammography is a technique that might not be available in faraway clinics and it is technically challenging whereas USG can be available in most remote areas and small hospitals far from tertiary care hospitals. Even a trainee Radiology resident can use USG BIRADS and can be used diagnostically for that, it is important to define its, diagnostic accuracy with Sensitivity, Specificity and other diagnostic parameters. Aims: - To determine the Diagnostic accuracy of USG BIRADS compared to the gold standard Histopathology report Methodology A Retrospective cohort study was conducted at a tertiary care hospital. a total of 84 female patients presenting to Surgical OPD with complaints of a breast lump or pain were enrolled from their records. Their Breast USG results were analysed to correctly identify their BIRADS stage and then their corresponding Histopathology report was taken into account as the gold standard to compare the USG results against. Excel, SPSS and Revman were used to conduct analysis and create results. Results: - 36 of these 84 patients belonged to BIRADS 1, 2, and 5 where Sensitivity, Specificity and PPV were calculated at 100%. No one was diagnosed with BIRADS III from USG reports. For USG BIRADS 4, in total 48 patients Sensitivity was 0.667, specificity was 0.883, and PPV was 0.364. Conclusion: - Patients whose USG show Benign growth or can be diagnosed in BIRADS 1, 2, 3, and 5 can be counted as accurate and precise. When the USG diagnosis describes the patient to be in BIRADS 4, the sensitivity and PPV show poor results showing a very low probability of the patient being truly positive when the diagnosis gives a positive result.
- 8 September 2025
- Published by Green Publication
- Vol. 32 (8) , 246-254
Open AccessCLINICAL UTILITY OF ULTRASONOGRAPHY BI-RADS IN THE EVALUATION OF BREAST CANCER IN PATIENTS WITH PALPABLE BREAST MASSES
Introduction: Diagnosing and stage breast cancer with an easy and widely useable method that can be employed worldwide in the poorest and wealthiest settings is important. Mammography is a technique that might not be available in faraway clinics and it is technically challenging whereas USG can be available in most remote areas and small hospitals far from tertiary care hospitals. Even a trainee Radiology resident can use USG BIRADS and can be used diagnostically for that, it is important to define its, diagnostic accuracy with Sensitivity, Specificity and other diagnostic parameters. Aims: - To determine the Diagnostic accuracy of USG BIRADS compared to the gold standard Histopathology report Methodology A Retrospective cohort study was conducted at a tertiary care hospital. a total of 84 female patients presenting to Surgical OPD with complaints of a breast lump or pain were enrolled from their records. Their Breast USG results were analysed to correctly identify their BIRADS stage and then their corresponding Histopathology report was taken into account as the gold standard to compare the USG results against. Excel, SPSS and Revman were used to conduct analysis and create results. Results: - 36 of these 84 patients belonged to BIRADS 1, 2, and 5 where Sensitivity, Specificity and PPV were calculated at 100%. No one was diagnosed with BIRADS III from USG reports. For USG BIRADS 4, in total 48 patients Sensitivity was 0.667, specificity was 0.883, and PPV was 0.364. Conclusion: - Patients whose USG show Benign growth or can be diagnosed in BIRADS 1, 2, 3, and 5 can be counted as accurate and precise. When the USG diagnosis describes the patient to be in BIRADS 4, the sensitivity and PPV show poor results showing a very low probability of the patient being truly positive when the diagnosis gives a positive result.
- Open Access
- 11 September 2015
- Published by Green Publication
- Vol. 32 (9) , 1-10
CLINICAL ANALYSIS OF STROKE PATIENTS: UNVEILING ASPECT SCORING IN A CASE SERIES
Introduction: ASPECTS (Alberta Stroke Program Early CT Score) help in detecting early ischemic changes in stroke patients. This scoring system helps in predicting the stroke outcome, treatment options like thrombolysis and prognosis. It is a 10-point scaling system based on anatomical regions supplied by the middle cerebral artery and each point is subtracted for areas with ischemic changes. Aims and objectives: To study the effectiveness of the ASPECTS scoring in the assessment of the anterior and posterior cerebral circulation stroke. Materials and methods: A retrospective study was performed on stroke patients referred to our institute for an NCCT scan. 40 stroke patients with a mean age of 59+/-3 years were selected and patients with intracranial hemorrhage or hemorrhagic transformation of infarct were excluded. Scans were performed on a 128-slice multidetector CT PHILIPS Perspective scanner. The ASPECTS score was determined using standardised axial CT cuts. Result: In this case series study of 40 patients, a total of 28 patients (70%) had a score of 7 or more and these patients had better prognoses with proper treatment and follow-up. The remaining 12 patients (30%) had a score of less than 7 and even with treatment and sequential follow-up, they had no neurological recovery. Conclusion: Thus, it can be concluded that the ASPECTS can be used as a tool for predicting treatment outcomes in stroke patients. A score of 7 or more is associated with a good prognosis.
- 11 September 2015
- Published by Green Publication
- Vol. 32 (9) , 1-10
Open AccessCLINICAL ANALYSIS OF STROKE PATIENTS: UNVEILING ASPECT SCORING IN A CASE SERIES
Introduction: ASPECTS (Alberta Stroke Program Early CT Score) help in detecting early ischemic changes in stroke patients. This scoring system helps in predicting the stroke outcome, treatment options like thrombolysis and prognosis. It is a 10-point scaling system based on anatomical regions supplied by the middle cerebral artery and each point is subtracted for areas with ischemic changes. Aims and objectives: To study the effectiveness of the ASPECTS scoring in the assessment of the anterior and posterior cerebral circulation stroke. Materials and methods: A retrospective study was performed on stroke patients referred to our institute for an NCCT scan. 40 stroke patients with a mean age of 59+/-3 years were selected and patients with intracranial hemorrhage or hemorrhagic transformation of infarct were excluded. Scans were performed on a 128-slice multidetector CT PHILIPS Perspective scanner. The ASPECTS score was determined using standardised axial CT cuts. Result: In this case series study of 40 patients, a total of 28 patients (70%) had a score of 7 or more and these patients had better prognoses with proper treatment and follow-up. The remaining 12 patients (30%) had a score of less than 7 and even with treatment and sequential follow-up, they had no neurological recovery. Conclusion: Thus, it can be concluded that the ASPECTS can be used as a tool for predicting treatment outcomes in stroke patients. A score of 7 or more is associated with a good prognosis.