MKMohammed Khalaf

Mohammed Khalaf

*This is an algorithmically generated author record based on publicly available information.

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Mohammed Khalaf has a total of 16 co-authors. Here are the top co-authors by number of shared publications:


Latest Publications

  • Deep Learning–Based Distortion Correction for Brain Diffusion-weighted Imaging

    by Mohammed Khalaf, Sebastian Altmann, Andrea Kronfeld, Roman Paul, Vanessa Ines Schöffling, Marc A. Brockmann, Thorsten Feiweier, Shihan Qiu, Ahmed E. Othman, Haidara Almansour

    Background: Single-shot echo-planar imaging DWI (ss-EPI DWI) is susceptible to geometric distortions near air–tissue interfaces, limiting diagnostic accuracy. Multishot readout-segmented DWI (RESOLVE DWI) mitigates these artifacts but requires longer acquisition times. This study evaluated whether ss-EPI DWI with a deep learning–enabled correction of static field inhomogeneities (DL DWI) can achieve effective distortion correction while preserving diagnostic reliability and reducing scan time. Objectives: To compare image quality, geometric distortion, lesion detectability, and diagnostic confidence of ss-EPI DWI with DL-enabled correction of static field inhomogeneities (DL DWI) against conventional ss-EPI DWI (without correction) and RESOLVE DWI. Materials and Methods: In this prospective single-center study (April 2025 to August 2025), 100 patients undergoing clinically indicated brain MRI were enrolled following written informed consent. All patients underwent DL ss-EPI DWI with DL correction (1 min 29 s) and RESOLVE DWI (3 min 17 s); ss-EPI DWI was reconstructed by disabling DL correction for all patients. Qualitative and quantitative analyses were performed. Three board-certified radiologists rated image quality, lesion detectability, distortion, and diagnostic confidence on a 5-point Likert Scale. Two quantitative measures of distortion were applied: geometric conformity with anatomic 3D T1-weighted data through coregistration methods and gray-value distributions within volumes of interest in susceptibility-affected regions (temporal lobe, cerebellum, and brainstem). Results: DL DWI significantly outperformed ss-EPI DWI across all qualitative parameters, including diagnostic confidence (median, 4.0 vs. 3.0; P < 0.001), overall image quality (median, 4.0 vs. 3.0; P < 0.001), and geometric distortion (median, 4.0 vs. 3.0; P < 0.001). RESOLVE DWI achieved the highest ratings overall (median, 5.0). Lesion detectability was comparable between DL DWI and RESOLVE DWI (median, 4.0 for both; P > 0.08), while both significantly outperformed ss-EPI DWI ( P < 0.001). Quantitative analysis confirmed superior geometric accuracy of DL DWI over ss-EPI DWI, with lower coregistration cost-function values and normalization of gray-value distributions in susceptibility-affected regions. Conclusion: DL DWI improved image quality and geometric accuracy compared with uncorrected ss-EPI DWI. Subjective lesion-detectability ratings were similar between DL DWI and RESOLVE DWI, while DL DWI required less than half the acquisition time. These findings support DL-based distortion correction as a promising, time-efficient approach for brain diffusion-weighted imaging that warrants confirmation in a predefined noninferiority design.

  • Open Access

    Reducing Lung Biopsy Complications with Saline Injection: Evidence from a CT-Guided Cohort Study

    by Mohammed Khalaf, Yaroslava Von Rymon Lipinski, Sascha Herber

    Purpose: In this study, our aim is to assess the efficacy of saline-assisted needle withdrawal in minimizing pneumothorax and bleeding complications during CT-guided lung biopsies. Methods: In this retrospective study, 400 patients who underwent CT-guided lung biopsy were divided into two groups: 200 patients underwent conventional needle withdrawal (control group), and the other 200 patients underwent saline-assisted needle withdrawal (NaCl group). Needle angle, patient positioning, demographic data, and other procedural variables were collected. The primary outcome was the incidence of pneumothorax; secondary outcomes included bleeding rates and the impact of procedural factors on complication risk. Statistical analyses included Chi-square tests, logistic regression, and multinomial modeling. Results: The NaCl group demonstrated a significantly lower incidence of clinically significant pneumothorax (13.5%) compared to the control group (22.0%) (p = 0.007), while bleeding complications occurred in 26.5% of patients in the former versus 45.0% in the latter (p < 0.001). Multivariate analysis suggested a non-significant trend toward a higher pneumothorax risk with shallow needle angles (p = 0.502). Saline injection was especially advantageous in patients with underlying lung disease, reducing pneumothorax severity even when overall incidence rates were similar. No adverse events were attributed to the use of saline. Conclusions: Saline-assisted tract sealing is a safe and cost-effective technique that significantly reduces the risk of clinically significant pneumothorax and bleeding in CT-guided lung biopsies. Due to its simplicity and favorable safety profile, this approach holds considerable promise for widespread clinical implementation.

  • Open Access

    Aneurysm of the sciatic artery: A rare case report

    by Mohammed Khalaf, Yaroslava von Rymon Lipinski, Azar Vagifsoy, Peter Wack, Dimitri Schari, Sascha Herber