Abdullah I. El-Falouji
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Abdullah I. El-Falouji has a total of 14 co-authors. Here are the top co-authors by number of shared publications:
- Ahmed El-Tobgy
Department of Urology, Faculty of Medicine, Suez Canal University, Ismailia 41522, Egypt
1 shared publication - Ahmed Mohamed
QIMR Berghofer Medical Research Institute, Herston, Brisbane, QLD 4006, Australia
1 shared publication - Amr Mounir Selim
Surgical Oncology Department, National Cancer Institute, Cairo University, Cairo 11796, Egypt
1 shared publication - Asmaa A. El Leithy
College of Biotechnology, Misr University for Science and Technology, Giza, Egypt
1 shared publication - Belal Hussein Mohammed Hussein
Chemistry Department, Faculty of Science, Taibah University, Madinah Al-Munawaroh 41321, Saudi Arabia
1 shared publication - Dalia M. Sabri
Institute of Biotechnology for Postgraduate Studies and Research (IBPR), Suez Canal University, Ismailia 41522, Egypt
1 shared publication
Latest Publications
- Open Access
Rapid Detection of Recurrent Non-Muscle Invasive Bladder Cancer in Urine Using ATR-FTIR Technology
Non-muscle Invasive Bladder Cancer (NMIBC) accounts for 80% of all bladder cancers. Although it is mostly low-grade tumors, its high recurrence rate necessitates three-times-monthly follow-ups and cystoscopy examinations to detect and prevent its progression. A rapid liquid biopsy-based assay is needed to improve detection and reduce complications from invasive cystoscopy. Here, we present a rapid spectroscopic method to detect the recurrence of NMIBC in urine. Urine samples from previously-diagnosed NMIBC patients (n = 62) were collected during their follow-up visits before cystoscopy examination. Cystoscopy results were recorded (41 cancer-free and 21 recurrence) and attenuated total refraction Fourier transform infrared (ATR-FTIR) spectra were acquired from urine samples using direct application. Spectral processing and normalization were optimized using parameter grid searching. We assessed their technical variability through multivariate analysis and principal component analysis (PCA). We assessed 35 machine learning models on a training set (70%), and the performance was evaluated on a held-out test set (30%). A Regularized Random Forests (RRF) model achieved a 0.92 area under the receiver operating characteristic (AUROC) with 86% sensitivity and 77% specificity. In conclusion, our spectroscopic liquid biopsy approach provides a promising technique for the early identification of NMIBC with a less invasive examination.
Open AccessRapid Detection of Recurrent Non-Muscle Invasive Bladder Cancer in Urine Using ATR-FTIR Technology
Non-muscle Invasive Bladder Cancer (NMIBC) accounts for 80% of all bladder cancers. Although it is mostly low-grade tumors, its high recurrence rate necessitates three-times-monthly follow-ups and cystoscopy examinations to detect and prevent its progression. A rapid liquid biopsy-based assay is needed to improve detection and reduce complications from invasive cystoscopy. Here, we present a rapid spectroscopic method to detect the recurrence of NMIBC in urine. Urine samples from previously-diagnosed NMIBC patients (n = 62) were collected during their follow-up visits before cystoscopy examination. Cystoscopy results were recorded (41 cancer-free and 21 recurrence) and attenuated total refraction Fourier transform infrared (ATR-FTIR) spectra were acquired from urine samples using direct application. Spectral processing and normalization were optimized using parameter grid searching. We assessed their technical variability through multivariate analysis and principal component analysis (PCA). We assessed 35 machine learning models on a training set (70%), and the performance was evaluated on a held-out test set (30%). A Regularized Random Forests (RRF) model achieved a 0.92 area under the receiver operating characteristic (AUROC) with 86% sensitivity and 77% specificity. In conclusion, our spectroscopic liquid biopsy approach provides a promising technique for the early identification of NMIBC with a less invasive examination.