Comparison of various predictive tools in predicting risk of cerebrospinal fluid diversion post-resection of posterior fossa tumors: A systematic review
Of all the predictive models developed, till now, to predict the need for CSF diversion after PFT resection, artificial intelligence-based model shows superior accuracy for improving hydrocephalus risk prognostication. Apart from clinical, demographic, surgery-related and radiological predictors incorporated in conventional predictive models, the artificial-intelligence based model improves risk prediction by utilizing complex patterns in intraoperative and postoperative imaging of patients.
Authors
- Amna Sohail (ORCID: https://orcid.org/0009-0005-9945-4946)
- Sabino Luzzi (ORCID: https://orcid.org/0000-0002-1381-8528)
- Haseeb Mehmood Qadri (ORCID: https://orcid.org/0000-0003-0675-9934)
- Raahim Bashir (ORCID: https://orcid.org/0009-0005-8665-6207)
- Sundas Irshad (ORCID: https://orcid.org/0000-0001-7503-4676)
- Hania Fatima (ORCID: https://orcid.org/0009-0009-0601-8504)
- Asif Bashir
- Fiza Ismail (ORCID: https://orcid.org/0000-0003-3391-8726)
- S. Safdar (ORCID: https://orcid.org/0009-0006-8752-2769)
- Sarwar Mahmood (ORCID: https://orcid.org/0009-0006-4711-906X)
- Syeda Aleena Hassan (ORCID: https://orcid.org/0009-0007-9280-9972)
Institutions
- Aga Khan University (PK)
- University of Sassari (IT)
- Punjab Institute of Cardiology (PK)
- Fatima Jinnah Medical University (PK)
- Allama Iqbal Medical College (PK)
- CMH Lahore Medical College and Institute of Dentistry (PK)
- Lahore General Hospital (PK)
- Aga Khan University Hospital (PK)
- Institute of Management Sciences Lahore (PK)
- Chengde Medical University (CN)
- Continental (Canada) (CA)
- Post Graduate Medical Institute (PK)
- University of Missouri (US)
Publication Details
- Journal
- Pakistan Journal of Medical Sciences
- Published
- 2025-12-09
- DOI
- https://doi.org/10.12669/pjms.41.13(pins-nnos).13459
- Primary Topic
- Cerebrospinal fluid and hydrocephalus
- Type
- article
- Field-Weighted Citation Impact
- 0.00