1.Second Primary Tumors After Primary Brain Tumors and Vice Versa: A Single-Center, Retrospective Study
Meher ANGEZ ; Rabeet TARIQ ; Alveena ZAFAR ; Ali Azan AHMED ; Ayesha Nasir HAMEED ; Usama WAQAR ; Syed Ather ENAM
Brain Tumor Research and Treatment 2025;13(1):17-22
Background:
Advancements in surgery, chemotherapy, and radiotherapy have improved survivalfor brain tumor patients, increasing the risk of second primary tumors (SPTs) among long-term survivors. This study examines the types and risks of SPTs in brain tumor patients presenting at a tertiary care hospital.
Methods:
This single-center, retrospective study explored occurrences of SPTs following prima-ry brain tumors and occurrences of brain tumors as SPTs following primary extra neural tumors. A total of 41 patients were included and analyzed presenting with histologically confirmed SPTs between 1st January 2000 and 31st December 2020.
Results:
The study included 41 patients with SPTs, primarily female (65.9%). Of these, 20 pa-tients (48.7%) developed SPTs after a primary brain tumor, while 21 patients (51.2%) developed brain tumors as SPTs after extra-neural tumors. Among patients who developed SPTs after brain tumors (n=20), meningioma (n=8, 40.0%) and pituitary adenoma (n=6, 30.0%) were the most prevalent first primary tumors (FPTs) while breast tumors predominated as SPTs (n=4, 20.0%). Survival analysis indicated younger mean age (44.5 years) for patients marked alive, compared to those marked deceased (57.0 years) and those with unknown outcomes (63.0 years).
Conclusion
Based on this retrospective analysis, the median age at diagnosis was 44.5 years,with a considerable number of patients (36.6%) having uncertain outcomes at follow-up due to incomplete records. These findings highlight the need for improved follow-up data management to better assess long-term survival in patients with SPTs following brain tumors.
2.Second Primary Tumors After Primary Brain Tumors and Vice Versa: A Single-Center, Retrospective Study
Meher ANGEZ ; Rabeet TARIQ ; Alveena ZAFAR ; Ali Azan AHMED ; Ayesha Nasir HAMEED ; Usama WAQAR ; Syed Ather ENAM
Brain Tumor Research and Treatment 2025;13(1):17-22
Background:
Advancements in surgery, chemotherapy, and radiotherapy have improved survivalfor brain tumor patients, increasing the risk of second primary tumors (SPTs) among long-term survivors. This study examines the types and risks of SPTs in brain tumor patients presenting at a tertiary care hospital.
Methods:
This single-center, retrospective study explored occurrences of SPTs following prima-ry brain tumors and occurrences of brain tumors as SPTs following primary extra neural tumors. A total of 41 patients were included and analyzed presenting with histologically confirmed SPTs between 1st January 2000 and 31st December 2020.
Results:
The study included 41 patients with SPTs, primarily female (65.9%). Of these, 20 pa-tients (48.7%) developed SPTs after a primary brain tumor, while 21 patients (51.2%) developed brain tumors as SPTs after extra-neural tumors. Among patients who developed SPTs after brain tumors (n=20), meningioma (n=8, 40.0%) and pituitary adenoma (n=6, 30.0%) were the most prevalent first primary tumors (FPTs) while breast tumors predominated as SPTs (n=4, 20.0%). Survival analysis indicated younger mean age (44.5 years) for patients marked alive, compared to those marked deceased (57.0 years) and those with unknown outcomes (63.0 years).
Conclusion
Based on this retrospective analysis, the median age at diagnosis was 44.5 years,with a considerable number of patients (36.6%) having uncertain outcomes at follow-up due to incomplete records. These findings highlight the need for improved follow-up data management to better assess long-term survival in patients with SPTs following brain tumors.
3.Second Primary Tumors After Primary Brain Tumors and Vice Versa: A Single-Center, Retrospective Study
Meher ANGEZ ; Rabeet TARIQ ; Alveena ZAFAR ; Ali Azan AHMED ; Ayesha Nasir HAMEED ; Usama WAQAR ; Syed Ather ENAM
Brain Tumor Research and Treatment 2025;13(1):17-22
Background:
Advancements in surgery, chemotherapy, and radiotherapy have improved survivalfor brain tumor patients, increasing the risk of second primary tumors (SPTs) among long-term survivors. This study examines the types and risks of SPTs in brain tumor patients presenting at a tertiary care hospital.
Methods:
This single-center, retrospective study explored occurrences of SPTs following prima-ry brain tumors and occurrences of brain tumors as SPTs following primary extra neural tumors. A total of 41 patients were included and analyzed presenting with histologically confirmed SPTs between 1st January 2000 and 31st December 2020.
Results:
The study included 41 patients with SPTs, primarily female (65.9%). Of these, 20 pa-tients (48.7%) developed SPTs after a primary brain tumor, while 21 patients (51.2%) developed brain tumors as SPTs after extra-neural tumors. Among patients who developed SPTs after brain tumors (n=20), meningioma (n=8, 40.0%) and pituitary adenoma (n=6, 30.0%) were the most prevalent first primary tumors (FPTs) while breast tumors predominated as SPTs (n=4, 20.0%). Survival analysis indicated younger mean age (44.5 years) for patients marked alive, compared to those marked deceased (57.0 years) and those with unknown outcomes (63.0 years).
Conclusion
Based on this retrospective analysis, the median age at diagnosis was 44.5 years,with a considerable number of patients (36.6%) having uncertain outcomes at follow-up due to incomplete records. These findings highlight the need for improved follow-up data management to better assess long-term survival in patients with SPTs following brain tumors.
4.SARS-CoV-2: Has artificial intelligence stood the test of time.
Mir Ibrahim SAJID ; Shaheer AHMED ; Usama WAQAR ; Javeria TARIQ ; Mohsin CHUNDRIGARH ; Samira Shabbir BALOUCH ; Sajid ABAIDULLAH
Chinese Medical Journal 2022;135(15):1792-1802
Artificial intelligence (AI) has proven time and time again to be a game-changer innovation in every walk of life, including medicine. Introduced by Dr. Gunn in 1976 to accurately diagnose acute abdominal pain and list potential differentials, AI has since come a long way. In particular, AI has been aiding in radiological diagnoses with good sensitivity and specificity by using machine learning algorithms. With the coronavirus disease 2019 pandemic, AI has proven to be more than just a tool to facilitate healthcare workers in decision making and limiting physician-patient contact during the pandemic. It has guided governments and key policymakers in formulating and implementing laws, such as lockdowns and travel restrictions, to curb the spread of this viral disease. This has been made possible by the use of social media to map severe acute respiratory syndrome coronavirus 2 hotspots, laying the basis of the "smart lockdown" strategy that has been adopted globally. However, these benefits might be accompanied with concerns regarding privacy and unconsented surveillance, necessitating authorities to develop sincere and ethical government-public relations.
Artificial Intelligence
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COVID-19
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Communicable Disease Control
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Humans
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Pandemics/prevention & control*
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SARS-CoV-2