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  1. Article ; Online: Insights Into MRI Neuroimaging Patterns of COVID-19 in Children: A Retrospective Comprehensive Analysis.

    Nada, Mohamad Gamal / Almalki, Yassir Edrees / Basha, Mohammad Abd Alkhalik / Metwally, Maha Ibrahim / Dessouky, Riham / Radwan, Mohamed Hesham Saleh Saleh / Zaitoun, Mohamed M A / Abdalla, Ahmed A El-Hamid M / Bessar, Ahmed A A / Tantwy, Engy Fathy / Assy, Mostafa Mohamad / Dawoud, Bassant Mahmoud / Hanna, Diana / Gohary, Mahmoud M / Alduraibi, Sharifa Khalid / Lduraibi, Alaa K / Eldib, Diaa Bakry / Khater, Hamada M / Sarhan, Noha T /
    Hamed, Dina Esmat / Saadawy, Sara F / Huneif, Mohammed A / Abdelkhalik Basha, Ahmed M / Libda, Yasmin Ibrahim

    Academic radiology

    2024  

    Abstract: Rationale and objectives: Neurological complications associated with coronavirus disease (COVID-19) have been reported in children; however, data on neuroimaging findings remain limited. This study aimed to comprehensively examine neuroimaging patterns ... ...

    Abstract Rationale and objectives: Neurological complications associated with coronavirus disease (COVID-19) have been reported in children; however, data on neuroimaging findings remain limited. This study aimed to comprehensively examine neuroimaging patterns of COVID-19 in children and their relationship with clinical outcomes.
    Materials and methods: This retrospective cross-sectional study involved reviewing the medical records and MRI scans of 95 children who developed new neurological symptoms within 2-4 weeks of clinical and laboratory confirmation of COVID-19. Patients were categorized into four groups based on guidelines approved by the Centers for Disease Control and Prevention (CDC). Initial brain/spinal MRI was performed. Images were reviewed by three blinded radiologists, and the findings were analyzed and categorized based on the observed patterns in the brain and spinal cord. Follow-up MRI was performed and analyzed to track lesion progression.
    Results: Encephalopathy was the most common neurological symptom (50.5%). The most common initial MRI involvement patterns were non-confluent multifocal hyperintense white matter (WM) lesions (36.8%) and ischemia (18.9%). Most patients who underwent follow-up MRI (n = 56) showed complete resolution (69.9%); however, some patients developed encephalomalacia and myelomalacia (23.2% and 7.1%, respectively). Non-confluent hyperintense WM lesions were associated with good outcomes (45.9%, P = 0.014), whereas ischemia and hemorrhage were associated with poor outcomes (44.1%, P < 0.001).
    Conclusion: This study revealed diverse neuroimaging patterns in pediatric COVID-19 patients. Non-confluent WM lesions were associated with good outcomes, whereas ischemia and hemorrhage were associated with poorer prognoses. Understanding these patterns is crucial for their early detection, accurate diagnosis, and appropriate management.
    Language English
    Publishing date 2024-04-12
    Publishing country United States
    Document type Journal Article
    ZDB-ID 1355509-1
    ISSN 1878-4046 ; 1076-6332
    ISSN (online) 1878-4046
    ISSN 1076-6332
    DOI 10.1016/j.acra.2024.03.018
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article: Comparison of the CO-RADS and the RSNA chest CT classification system concerning sensitivity and reliability for the diagnosis of COVID-19 pneumonia.

    Abdel-Tawab, Mohamed / Basha, Mohammad Abd Alkhalik / Mohamed, Ibrahim A I / Ibrahim, Hamdy M / Zaitoun, Mohamed M A / Elsayed, Saeed Bakry / Mahmoud, Nader E M / El Sammak, Ahmed A / Yousef, Hala Y / Aly, Sameh Abdelaziz / Khater, Hamada M / Mosallam, Walid / Abo Shanab, Waleed S / Hendi, Ali M / Hassan, Sayed

    Insights into imaging

    2021  Volume 12, Issue 1, Page(s) 55

    Abstract: Background: The Radiological Society of North America (RSNA) recently published a chest CT classification system and Dutch Association for Radiology has announced Coronavirus disease 2019 (COVID-19) reporting and data system (CO-RADS) to provide ... ...

    Abstract Background: The Radiological Society of North America (RSNA) recently published a chest CT classification system and Dutch Association for Radiology has announced Coronavirus disease 2019 (COVID-19) reporting and data system (CO-RADS) to provide guidelines to radiologists who interpret chest CT images of patients with suspected COVID-19 pneumonia. This study aimed to compare CO-RADS and RSNA classification with respect to their sensitivity and reliability for diagnosis of COVID-19 pneumonia.
    Results: A retrospective study assessed consecutive CT chest imaging of 359 COVID-19-positive patients. Three experienced radiologists who were aware of the final diagnosis of all patients, independently categorized each patient according to CO-RADS and RSNA classification. RT-PCR test performed within one week of chest CT scan was used as a reference standard for calculating sensitivity of each system. Kappa statistics and intraclass correlation coefficient were used to assess reliability of each system. The study group included 359 patients (180 men, 179 women; mean age, 45 ± 16.9 years). Considering combination of CO-RADS 3, 4 and 5 and combination of typical and indeterminate RSNA categories as positive predictors for COVID-19 diagnosis, the overall sensitivity was the same for both classification systems (72.7%). Applying both systems in moderate and severe/critically ill patients resulted in a significant increase in sensitivity (94.7% and 97.8%, respectively). The overall inter-reviewer agreement was excellent for CO-RADS (κ = 0.801), and good for RSNA classification (κ = 0.781).
    Conclusion: CO-RADS and RSNA chest CT classification systems are comparable in diagnosis of COVID-19 pneumonia with similar sensitivity and reliability.
    Language English
    Publishing date 2021-04-28
    Publishing country Germany
    Document type Journal Article
    ZDB-ID 2543323-4
    ISSN 1869-4101
    ISSN 1869-4101
    DOI 10.1186/s13244-021-00998-4
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  3. Article ; Online: MRI-Based Classification for Tibial Spine Fracture: Detection Efficacy, Classification Accuracy, and Reliability.

    Almolla, Rania Mostafa / Almalki, Yassir Edrees / Basha, Mohammad Abd Alkhalik / Mohamed Farag, Mohamed Abd El-Aziz / Metwally, Maha Ibrahim / Nada, Mohamad Gamal / Libda, Yasmin Ibrahim / Zaitoun, Mohamed M A / Abdalla, Ahmed A El-Hamid M / Yousef, Hala Y / Abd Elhamed, Marwa E / Elsheikh, Amgad M / Alduraibi, Sharifa Khalid / Eldib, Diaa Bakry / Khater, Hamada M / Mahmoud, Hossam Fathi / Elkayal, Engy S / Alshehri, Shaker Hassan S / Aldhilan, Asim S /
    Basha, Ahmed M A / Hassan, Hanan A

    Academic radiology

    2023  Volume 31, Issue 4, Page(s) 1480–1490

    Abstract: Rationale and objectives: Recently, a new MRI-based classification for evaluating tibial spine fractures (TSFs) was developed to aid in treating these injuries. Our objective was to assess the detection efficacy, classification accuracy, and reliability ...

    Abstract Rationale and objectives: Recently, a new MRI-based classification for evaluating tibial spine fractures (TSFs) was developed to aid in treating these injuries. Our objective was to assess the detection efficacy, classification accuracy, and reliability of this classification in detecting and grading TSFs, as well as its impact on treatment strategy, compared to the Meyers and McKeever (MM) classification.
    Materials and methods: A retrospective study included 68 patients with arthroscopically confirmed TSFs. All patients had plain radiography and conventional MRI of the affected knee before arthroscopy. Three experienced radiologists independently reviewed all plain radiographs and MRI data and graded each patient according to MM and MRI-based classifications. The detection efficacy, classification accuracy, and inter-rater agreement of both classifications were evaluated and compared, using arthroscopic findings as the gold standard.
    Results: The final analysis included 68 affected knees. Compared to the MM classification, the MRI-based classification produced 22.0% upgrade of TSFs and 11.8% downgrade of TSFs. According to the reviewers, the fracture classification accuracy of the MRI-based classification (91.2-95.6%) was significantly higher than that of the MM classification (73.5-76.5%, p = 0.002-0.01). The fracture detection rate of MRI-based classification (94.1-98.5%) was non-significantly higher than that of the MM classification (83.8-89.7%, p = 0.07-0.4). The soft tissue injury detection accuracy for MRI-based classification was 91.2-94.1%. The inter-rater reliability for grading TSFs was substantial for both the MM classification (κ = 0.69) and MRI-based classification (κ = 0.79).
    Conclusion: MRI-based classification demonstrates greater accuracy and reliability compared to MM classification for detecting and grading TSFs and associated soft tissue injuries.
    MeSH term(s) Humans ; Retrospective Studies ; Reproducibility of Results ; Magnetic Resonance Imaging ; Tibial Fractures/diagnostic imaging ; Tibial Fractures/surgery ; Knee Fractures
    Language English
    Publishing date 2023-10-31
    Publishing country United States
    Document type Journal Article
    ZDB-ID 1355509-1
    ISSN 1878-4046 ; 1076-6332
    ISSN (online) 1878-4046
    ISSN 1076-6332
    DOI 10.1016/j.acra.2023.10.007
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

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  4. Article ; Online: Comparison of O-RADS, GI-RADS, and IOTA simple rules regarding malignancy rate, validity, and reliability for diagnosis of adnexal masses.

    Basha, Mohammad Abd Alkhalik / Metwally, Maha Ibrahime / Gamil, Shrif A / Khater, Hamada M / Aly, Sameh Abdelaziz / El Sammak, Ahmed A / Zaitoun, Mohamed M A / Khattab, Enass M / Azmy, Taghreed M / Alayouty, Nader Ali / Mohey, Nesreen / Almassry, Hosam Nabil / Yousef, Hala Y / Ibrahim, Safaa A / Mohamed, Ekramy A / Mohamed, Abd El Motaleb / Afifi, Amira Hamed Mohamed / Harb, Ola A / Algazzar, Hesham Youssef

    European radiology

    2020  Volume 31, Issue 2, Page(s) 674–684

    Abstract: Objective: The American College of Radiology (ACR) recently published the ovarian-adnexal reporting and data system (O-RADS) to provide guidelines to physicians who interpret ultrasound (US) examinations of adnexal masses (AM). This study aimed to ... ...

    Abstract Objective: The American College of Radiology (ACR) recently published the ovarian-adnexal reporting and data system (O-RADS) to provide guidelines to physicians who interpret ultrasound (US) examinations of adnexal masses (AM). This study aimed to compare the O-RADS with two other well-established US classification systems for diagnosis of AM.
    Methods: This retrospective multicenter study between May 2016 and December 2019 assessed consecutive women with AM detected by the US. Five experienced consultant radiologists independently categorized each AM according to O-RADS, gynecologic imaging reporting and data system (GI-RADS), and international ovarian tumor analysis (IOTA) simple rules. Pathology and adequate follow-up were used as reference standards for calculating the validity of three US classification systems for diagnosis of AM. Kappa statistics were used to assess the inter-reviewer agreement (IRA).
    Results: A total of 609 women (mean age, 48 ± 13.7 years; range, 18-72 years) with 647 AM were included. Of the 647 AM, 178 were malignant and 469 were benign. Malignancy rates were comparable to recommended rates by previous literature in O-RADS and IOTA, but higher in GI-RADS. O-RADS had significantly higher sensitivity for malignancy than GI-RAD and IOTA (p = 0.003 and 0.0007, respectively), but non-significant slightly lower specificity (p > 0.05). O-RADS, GI-RADS, and IOTA showed similar overall IRA (κ = 0.77, 0.69, and 0.63, respectively) with a tendency toward higher IRA with O-RADS than with GI-RADS and IOTA.
    Conclusions: O-RADS compares favorably with GI-RADS and IOTA. O-RADS had higher sensitivity than GI-RADS and IOTA simple rules with relatively similar specificity and reliability.
    Key points: • The malignancy rates were comparable to recommended rates by previous literature in O-RADS and IOTA, but higher in GI-RADS. • The O-RADS had significantly higher sensitivity for malignancy than GI-RADS and IOTA (96.8% vs 92.7% and 92.1%; p = 0.003 and 0.0007, respectively), but non-significant slightly lower specificity (92.8% vs 93.6% and 93.2%, respectively; p > 0.05). • The O-RADS, GI-RADS, and IOTA showed similar overall inter-reviewer agreement (IRA) (κ = 0.77, 0.69, and 0.63, respectively), with a tendency toward higher IRA with O-RADS than with GI-RADS and IOTA.
    MeSH term(s) Adnexal Diseases/diagnostic imaging ; Adult ; Data Systems ; Female ; Humans ; Middle Aged ; Ovarian Neoplasms/diagnostic imaging ; Reproducibility of Results ; Retrospective Studies ; Sensitivity and Specificity ; Ultrasonography
    Language English
    Publishing date 2020-08-18
    Publishing country Germany
    Document type Journal Article ; Multicenter Study
    ZDB-ID 1085366-2
    ISSN 1432-1084 ; 0938-7994 ; 1613-3749
    ISSN (online) 1432-1084
    ISSN 0938-7994 ; 1613-3749
    DOI 10.1007/s00330-020-07143-7
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