Moataz Soliman

Moataz Soliman

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

Current Organizations / Institutes

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Previous Organizations / Institutes

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Moataz Soliman has a total of 83 co-authors. Here are the top co-authors by number of shared publications:


Latest Publications

  • Open Access

    Autoimmune diseases involving the gastrointestinal tract: clinical patterns, imaging spectrum, and complications

    by Mahmoud Diab, Humaira Chaudhry, Mindy X. Wang, Mostafa A. Shehata, Mohammed Mousa, Afaf Soliman, Nada Kassem, Mohamed Badawy, Moataz Soliman, Manal Mahmoud Helal, et al.

  • Perivascular Epithelioid Cell Tumors: Pathogenesis, Clinical Features, and Radiologic Challenges

    by Douglas Rogers, Reham Ellessy, Matthew Simpson, Mark J. Hoegger, Grace G. Zhu, Ayman H. Gaballah, Cary L. Siegel, Moataz Soliman, Benjamin L. Witt, Akram Shaaban

    Perivascular epithelioid cell tumors are rare myomelanocytic mesenchymal tumors with characteristic genetic drivers, variable anatomic distribution, and imaging mimics, making the radiologist’s role crucial in recognizing imaging features and clinical scenarios suggestive of these tumors.

  • Retroperitoneum and Pelvic Extraperitoneum: Anatomic Landmarks, Imaging Features, and Patterns of Disease Spread

    by Ayman H. Gaballah, Maged Algazzar, Irfan A. Kazi, Mohamed Badawy, Muhammad Awiwi, Amr Shabana, Mindy Wang, Akram Shabaan, Moataz Soliman, Khaled M. Elsayes, et al.

    The retroperitoneum and pelvic extraperitoneum are anatomically complex spaces containing vital structures and distinct compartments that serve as key pathways for disease spread, and CT and MRI are crucial for delineating these spaces, identifying pathologic patterns, and guiding management and surgical planning.


  • Open Access

    Delta Radiomics and Tumor Size: A New Predictive Radiomics Model for Chemotherapy Response in Liver Metastases from Breast and Colorectal Cancer

    by Nicolò Gennaro, Moataz Soliman, Amir A. Borhani, Linda Kelahan, Hatice Savas, Ryan Avery, Kamal Subedi, Tugce A. Trabzonlu, Chase Krumpelman, Vahid Yaghmai, et al.

    Background/Objectives: Radiomic features exhibit a correlation with tumor size on pretreatment images. However, on post-treatment images, this association is influenced by treatment efficacy and varies between responders and non-responders. This study introduces a novel model, called baseline-referenced Delta radiomics, which integrates the association between radiomic features and tumor size into Delta radiomics to predict chemotherapy response in liver metastases from breast cancer (BC) and colorectal cancer (CRC). Materials and Methods: A retrospective study analyzed contrast-enhanced computed tomography (CT) scans of 83 BC patients and 84 CRC patients. Among these, 57 BC patients with 106 liver lesions and 37 CRC patients with 109 lesions underwent post-treatment imaging after systemic chemotherapy. Radiomic features were extracted from up to three lesions per patient following manual segmentation. Tumor response was assessed by measuring the longest diameter and classified according to RECIST 1.1 criteria as progressive disease (PD), partial response (PR), or stable disease (SD). Classification models were developed to predict chemotherapy response using pretreatment data only, Delta radiomics, and baseline-referenced Delta radiomics. Model performance was evaluated using confusion matrix metrics. Results: Baseline-referenced Delta radiomics performed comparably or better than established radiomics models in predicting tumor response in chemotherapy-treated patients with liver metastases. The sensitivity, specificity, and balanced accuracy in predicting response ranged from 0.66 to 0.97, 0.81 to 0.97, and 80% to 90%, respectively. Conclusions: By integrating the relationship between radiomic features and tumor size into Delta radiomics, baseline-referenced Delta radiomics offers a promising approach for predicting chemotherapy response in liver metastases from breast and colorectal cancer.


  • Imaging after Pancreatic Surgery: Expected Findings and Postoperative Complications

    by Ayman H. Gaballah, Irfan A. Kazi, Atif Zaheer, Peter S. Liu, Mohamed Badawy, Mariam Moshiri, Mohamed K. Ibrahim, Moataz Soliman, Eric Kimchi, Khaled M. Elsayes

    Pancreatic surgery is considered one of the most technically challenging surgical procedures, despite the evolution of modern techniques. Neoplasms remain the most common indication for pancreatic surgery, although inflammatory conditions may also prompt surgical evaluation. The choice of surgical procedure depends on the type and location of the pathologic finding because different parts of the pancreas have separate vascular supplies that may be shared by adjacent organs. The surgical approach could be conventional or minimally invasive (laparoscopic, endoscopic, or robotic assisted). Because of the anatomic complexity of the pancreatic bed, perioperative complications may be frequently encountered and commonly involve the pancreatic-biliary, vascular, lymphatic, or bowel systems, irrespective of the surgical technique used. Imaging plays an important role in the assessment of suspected postoperative complications, with CT considered the primary imaging modality, while MRI, digital subtraction angiography, and molecular imaging are considered ancillary diagnostic tools. Accurate diagnosis of postoperative complications requires a solid understanding of pancreatic anatomy, surgical indications, normal postoperative appearance, and expected postsurgical changes. The practicing radiologist should be familiar with the most common perioperative complications, such as anastomotic leak, abscess, and hemorrhage, and be able to differentiate these entities from normal anticipated postoperative changes such as seroma, edema and fat stranding at the surgical site, and perivascular soft-tissue thickening. In addition to evaluation of the primary operative fossa, imaging plays a fundamental role in assessment of the adjacent organ systems secondarily affected after pancreatic surgery, such as vascular, biliary, and enteric complications. Published under a CC BY 4.0 license. Test Your Knowledge questions are available in the supplemental material. See the invited commentary by Winslow in this issue.


  • Open Access

    The utility of [18F]Fluciclovine PET/CT in Evaluating Nonmetastatic Castrate-Resistant Prostate Cancer Patients (nmCRPCp): diagnostic performance and impact on management

    by Moataz Soliman, Kareem Elfatairy, Reham Ellessy, Yury S Velichko, Ryan Avery, Linda C Kelahan, Ashley E Ross, Hatice Savas

    Objective: To evaluate the role of [18F]Fluciclovine PET/CT scan in restaging nmCRPCp and its impact on management. Methods and materials: This retrospective study included all patients with nonmetastatic castrate-resistant prostate cancer, who underwent [18F]Fluciclovine PET/CT scans for restaging who had concern for disease progression. Two radiologists independently reviewed the PET/CT studies, assigned an overall impression, and reported the site and number of radiotracer activities in consensus and impact on management was recorded. Available tissue diagnosis and/or six-month clinical and imaging follow-up were used as reference standards. Results: Thirty-five patients were included in this study. At least one lesion was detected in 73% (26/35) of the scans. Management changed in 71% (25/35) of patients, (22 positives and three negative scans). 26.9% (7/26) of patients were found to have an oligometastatic disease. Based on the reference standards, the diagnostic performance of [18F]Fluciclovine PET/CT in detecting recurrence in nmCRCP has 86%, sensitivity, 83% specificity, 96.1% PPV, and 55.5% NPV. There was no relationship between the Gleason score and a positive PET/CT scan in our patient population. Conclusion: Detecting the source of recurrence is challenging in nmCRCP patients when conventional imaging fails. Given the high PPV, sensitivity, and specificity, [18F]Fluciclovine PET/CT can be used instead of conventional imaging as a first-line choice due to its superiority over bone scan and added value of detecting soft tissue metastasis regardless of the initial Gleason score. Advances in knowledge: The study highlights the added value of [18F]Fluciclovine PET/CT in detecting soft tissue metastasis regardless of the initial Gleason score, which is not possible with conventional imaging such as bone scans. The study highlights the potential role of [18F]Fluciclovine PET/CT guiding management change for nonmetastatic castrate-resistant prostate cancer patients, particularly those with oligometastatic disease.

  • Paraneoplastic Syndromes from Head to Toe: Pathophysiology, Imaging Features, and Workup

    by Mohamed Badawy, Margarita V. Revzin, Nikita Consul, Moataz Soliman, Dhakshina M. Ganeshan, John C. Heymann, Ayman H. Gaballah, Brinda Rao Korivi, Ajaykumar C. Morani, Sanaz Javadi, et al.

    Patients often have symptoms due to the mass effect of a neoplasm on surrounding tissues or the development of distant metastases. However, some patients may present with clinical symptoms that are not attributable to direct tumor invasion. In particular, certain tumors may release substances such as hormones or cytokines or trigger an immune cross-reactivity between malignant and normal body cells, resulting in characteristic clinical features that are broadly referred to as paraneoplastic syndromes (PNSs). Recent advances in medicine have improved the understanding of the pathogenesis of PNSs and enhanced their diagnosis and treatment. It is estimated that 8% of patients with cancer develop a PNS. Diverse organ systems may be involved, most notably the neurologic, musculoskeletal, endocrinologic, dermatologic, gastrointestinal, and cardiovascular systems. Knowledge of various PNSs is necessary, as these syndromes may precede tumor development, complicate the patient's clinical presentation, indicate tumor prognosis, or be mistaken for metastatic spread. Radiologists should be familiar with the clinical presentations of common PNSs and the selection of appropriate imaging examinations. Many of these PNSs have imaging features that can assist with arriving at the correct diagnosis. Therefore, the key radiographic findings associated with these PNSs and the diagnostic pitfalls that can be encountered during imaging are important, as their detection can facilitate early identification of the underlying tumor, reveal early recurrence, and enable monitoring of the patient's response to therapy. © RSNA, 2023 Quiz questions for this article are available in the supplemental material.


  • A Framework for Harmonization of Radiomics Data for Multicenter Studies and Clinical Trials

    by Moataz A.S. Soliman, Linda C. Kelahan, Michael Magnetta, Hatice Savas, Rishi Agrawal, Ryan J. Avery, Pascale Aouad, Benjamin Liu, Yue Xue, Young K. Chae, et al.

    PURPOSE: Variability in computed tomography images intrinsic to individual scanners limits the application of radiomics in clinical and research settings. The development of reproducible and generalizable radiomics-based models to assess lesions requires harmonization of data. The purpose of this study was to develop, test, and analyze the efficacy of a radiomics data harmonization model. MATERIALS AND METHODS: Radiomic features from biopsy-proven untreated hepatic metastasis (N = 380) acquired from 167 unique patients with pancreatic, colon, and breast cancers were analyzed. Radiomic features from volume-match 551 samples of normal liver tissue and 188 hepatic cysts were included as references. A novel linear mixed effect model was used to identify effects associated with lesion size, tissue type, and scanner model. Six separate machine learning models were then used to test the effectiveness of radiomic feature harmonization using multivariate analysis. RESULTS: Proposed model identifies and removes scanner-associated effects while preserving cancer-specific functional dependence of radiomic features on the tumor size. Data harmonization improves the performance of classification models by reducing the scanner-associated variability. For example, the multiclass logistic regression model, LogitBoost, demonstrated the improvement in sensitivity in the range from 15% to 40% for each type of liver metastasis, whereas the overall model accuracy and the kappa coefficient increased by 5% and 8% accordingly. CONCLUSION: The model removed scanner-associated effects while preserving cancer-specific functional dependence of radiomic features.


  • Nonaccidental Injury in the Elderly: What Radiologists Need to Know

    by Mohamed Badawy, Nadia Solomon, Khaled M. Elsayes, Moataz Soliman, Pedro Diaz-Marchan, Marc D. Succi, Ali Pourvaziri, Michael H. Lev, Vincent M. Mellnick, Angel Gomez-Cintron, et al.

    Elder abuse often goes unrecognized until it is too late, but radiologists can play an essential role in detecting and reporting elder abuse through recognition of injury patterns that are characte... Elder abuse may result in serious physical injuries and long-term psychological consequences and can be life threatening. Over the past decade, attention to elder abuse has increased owing to its h...


  • Open Access

    Primary splenic lymphoma on top of intrahepatic splenosis: A unique case report

    by Moataz Soliman, Hatice Savas, Yury S. Velichko, Yue Xue, Ayman H. Gaballah