Publications by authors named "Parya Valizadeh"

Background: Thyroid cancer, a common endocrine malignancy, has seen increasing incidence, making lymph node metastasis (LNM) a critical factor for recurrence and survival. Radiomics and deep learning (DL) advancements offer the potential for improved LNM prediction using CT and MRI, though challenges in diagnostic accuracy remain.

Methods: A systematic review and meta-analysis were conducted per established guidelines, with searches across PubMed, Scopus, Web of Science, and Embase up to February 15, 2024.

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Background: Blunt abdominal trauma (BAT) is a significant contributor to pediatric mortality, often causing liver and spleen injuries. Contrast-enhanced computed tomography (CT), the gold standard for diagnosing solid organ injury, poses radiation risks to children. Contrast-enhanced ultrasound (CEUS) may be a promising alternative imaging modality.

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  • * A meta-analysis of five studies involving 191 patients found DECT to have a sensitivity of 88.1% and specificity of 82% for diagnosing ACL ruptures, showing strong accuracy, particularly for complete ruptures.
  • * The results indicate that DECT can be a reliable option for diagnosing ACL injuries in acute or subacute settings, supporting its use when MRI is not available or appropriate.
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  • - Head and neck cancers rank as the seventh most common worldwide, and lymph node metastasis (LNM) is a key factor that negatively impacts survival; traditional imaging methods struggle with accurate detection of LNM.
  • - This study systematically searched various databases for research on AI models diagnosing LNM in head and neck cancers, finding 23 relevant articles that primarily focused on internal validation due to a lack of external validation.
  • - The analysis showed high diagnostic accuracy for AI models, with pooled AUC scores of 91% for CT-based, 84% for MRI-based, and 92% for PET/CT-based radiomics; further, deep learning models performed similarly well, indicating a need for more extensive multicenter research for
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  • Esophageal cancer is challenging to diagnose and treat, with lymph node metastasis (LNM) being vital for prognosis; integrating advanced imaging techniques like radiomics and deep learning (DL) could enhance diagnosis.
  • A systematic review analyzed multiple studies on CT-based models for preoperative LNM detection in esophageal cancer, assessing their methodological quality and diagnostic accuracy.
  • The results showed that DL models generally outperformed traditional radiomics in accuracy, and incorporating clinical data improved sensitivity; further multicenter studies are needed for validation and adoption in clinical practice.
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Objectives: Splenic lesions might exhibit overlapping imaging features, varying from benign entities like cysts and hemangiomas to malignancies such as lymphoma and angiosarcoma. This meta-analysis aims to delineate imaging characteristics that distinguish malignant from benign splenic lesions.

Methods: Adhering to PRISMA guidelines, we searched PubMed, Scopus, and Web of Science for studies on imaging features differentiating malignant from benign splenic lesions.

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Purpose: To compare the demographic characteristics of active physicians, trainees, medical school clinical sciences faculty, and department chairs in radiology with those in other medical specialties.

Methods: An analysis was conducted using publicly available deidentified aggregate data from the Association of American Medical Colleges (AAMC). Our data collection included information from the 2022 AAMC Physician Specialty Data Report, the 2022 AAMC Report on Residents, and the 2022 AAMC Faculty Roster.

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Background: Intracranial dissecting aneurysms present a challenging subset linked to considerable morbidity and mortality, necessitating effective therapeutic strategies to prevent complications. Traditional treatments face technical limitations, while emerging endovascular modalities like stent-assisted coiling, multiple stenting, and flow-diverting devices (FDDs) offer promise in reducing periprocedural risks and enhancing patient outcomes. The aim of this study is to compare the safety and efficacy outcomes of endovascular treatment for intracranial dissecting aneurysms using FDDs versus stents (with or without coiling).

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Background And Objective: Neoadjuvant chemotherapy is a standard treatment approach for locally advanced breast cancer. Conventional imaging modalities, such as magnetic resonance imaging (MRI), computed tomography (CT), and ultrasound, have been used for axillary lymph node evaluation which is crucial for treatment planning and prognostication. This systematic review aims to comprehensively examine the current research on applying machine learning algorithms for predicting positive axillary lymph nodes following neoadjuvant chemotherapy utilizing imaging modalities, including MRI, CT, and ultrasound.

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Background And Objectives: The spleen hosts both benign and malignant lesions. Despite multiple imaging modalities, the distinction between these lesions poses a diagnostic challenge, marked by varying diagnostic accuracy levels across methods. In this study, we aimed to evaluate and compare the diagnostic performance of various imaging techniques for detecting malignant splenic lesions.

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Ultrasonography, a radiation-free and cost-effective modality, stands out as a promising tool for evaluating nasal bone fractures. Despite limited literature on its pediatric application, there is an increasing recognition of its potential to enhance diagnostic precision. To evaluate the diagnostic efficacy of ultrasound in detecting pediatric nasal bone fractures.

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Background: Recent studies have shown that gut microbiota can affect the development of Alzheimer's disease (AD) through various mechanisms. Bile acids (BAs), which are the final byproducts of cholesterol metabolism created through both the human body and gut microbiome, appear to be influenced by gut microbiota and may impact AD pathological characteristics such as the accumulation of tau and amyloid-β. We aimed to investigate the associations between various serum BAs and CSF biomarkers (including Aβ, total tau, and p-tau).

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Pediatric distal forearm fractures, comprising 30% of musculoskeletal injuries in children, are conventionally diagnosed using radiography. Ultrasound has emerged as a safer diagnostic tool, eliminating ionizing radiation, enabling bedside examinations with real-time imaging, and proving effective in non-hospital settings. The objective of this study is to evaluate the diagnostic efficacy of ultrasound for detecting distal forearm fractures in the pediatric population.

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Objective: To assess the role of net water uptake (NWU) in predicting outcomes in acute ischemic stroke (AIS) patients.

Methods: A systematic review and meta-analysis were performed, adhering to established guidelines. The search covered PubMed, Scopus, Web of Science, and Embase databases until July 1, 2023.

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Background: Several different endovascular and non-invasive treatment methods are suggested for the various types of intracranial aneurysms including simple, balloon-assisted, and stent-assisted coiling (SAC). Previous studies investigated the safety and efficacy of SAC versus non-stent-assisted coiling (non-SAC) but the results were controversial. We aim to perform a systematic review and meta-analysis to compare the efficacy and safety of SAC with non-SAC technique in stratifying by the ruptured and unruptured aneurysms.

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Background: Intracranial dissecting aneurysms present clinical challenges, demanding immediate intervention due to their high bleeding risk. While traditional treatments have limitations, the potential of flow diverters shows promise but remains a subject of ongoing debate for optimal management. The aim of this study was assess the safety and efficacy of flow diverters in the treatment of intracranial dissecting aneurysms.

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Background And Purpose: In-hospital onset stroke (IHOS) accounts for a significant proportion of large vessel occlusion acute ischemic strokes, leading to worse outcomes due to delays in evaluation and treatment. Limited data is available on the effectiveness of mechanical thrombectomy in IHOS patients. This study aims to assess the safety and efficacy of mechanical thrombectomy for patients with IHOS and compare the outcomes with those of community-onset strokes (COS).

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Background: Narcolepsy type 1 (NT1) is a chronic disorder characterized by pathological daytime sleepiness and cataplexy due to the disappearance of orexin immunoreactive neurons in the hypothalamus. Genetic and environmental factors point towards a potential role for inflammation and autoimmunity in the pathogenesis of the disease. This study aims to comprehensively review the latest evidence on the autoinflammatory mechanisms and immunomodulatory treatments aimed at suspected autoimmune pathways in NT1.

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Lymphoma is known as the third most common malignancy in children, and its prevalence and mortality are increasing. Common treatments, including chemotherapy, radiotherapy, and also surgery, despite their efficacy, have many side effects and, have a high chance of disease relapse. Immune Checkpoint Inhibitors (ICIs) offer a promising alternative with potentially fewer risks of relapse and toxicity.

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Rationale And Objectives: Burnout, stemming from chronic work stress, is a significant issue in the medical field, especially among radiologists. It leads to compromised patient care and reduced job satisfaction. Addressing burnout in radiology is essential for the well-being of radiologists and, in turn, for improving patient care.

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Article Synopsis
  • * A systematic review and meta-analysis of nine studies involving 294 patients revealed MDCT's pooled sensitivity at 74% and specificity at 92%, indicating decent diagnostic performance but significant variability in results.
  • * The findings suggest that while MDCT can be a reliable tool for detecting these injuries, further research with larger and more diverse patient groups is necessary to improve diagnostic accuracy and consistency.
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