1 Ocak 2023 Dergi makalesi Açık Erişim

Bagcilar, Omer; Alis, Deniz; Alis, Ceren; Seker, Mustafa Ege; Yergin, Mert; Ustundag, Ahmet; Hikmet, Emil; Tezcan, Alperen; Polat, Gokhan; Akkus, Ahmet Tugrul; Alper, Fatih; Velioglu, Murat; Yildiz, Omer; Selcuk, Hakan Hatem; Oksuz, Ilkay; Kizilkilic, Osman; Karaarslan, Ercan

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    "creators": [
      {
        "affiliation": "Sisli Hamidiye Etfal Res & Training Hosp, Radiol Dept, Istanbul, Turkiye", 
        "name": "Bagcilar, Omer"
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      {
        "name": "Alis, Deniz"
      }, 
      {
        "affiliation": "Istanbul Istinye State Hosp, Neurol Dept, Istanbul, Turkiye", 
        "name": "Alis, Ceren"
      }, 
      {
        "affiliation": "Acibadem Mehmet Ali Aydinlar Univ, Sch Med, Istanbul, Turkiye", 
        "name": "Seker, Mustafa Ege"
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      {
        "affiliation": "Hevi Hlth, Artificial Intelligence & Informat Technol, Istanbul, Turkiye", 
        "name": "Yergin, Mert"
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      {
        "affiliation": "Istanbul Univ Cerrahpasa, Cerrahpasa Med Fac, Radiol Dept, Istanbul, Turkiye", 
        "name": "Ustundag, Ahmet"
      }, 
      {
        "affiliation": "Istanbul Univ Cerrahpasa, Cerrahpasa Med Fac, Radiol Dept, Istanbul, Turkiye", 
        "name": "Hikmet, Emil"
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      {
        "affiliation": "Erzurum Ataturk Univ, Sch Med, Radiol Dept, Istanbul, Turkiye", 
        "name": "Tezcan, Alperen"
      }, 
      {
        "affiliation": "Erzurum Ataturk Univ, Sch Med, Radiol Dept, Istanbul, Turkiye", 
        "name": "Polat, Gokhan"
      }, 
      {
        "affiliation": "Erzurum Ataturk Univ, Sch Med, Radiol Dept, Istanbul, Turkiye", 
        "name": "Akkus, Ahmet Tugrul"
      }, 
      {
        "affiliation": "Erzurum Ataturk Univ, Sch Med, Radiol Dept, Istanbul, Turkiye", 
        "name": "Alper, Fatih"
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      {
        "affiliation": "Istanbul Fatih Sultan Mehmet Training & Res Hosp, Radiol Dept, Istanbul, Turkiye", 
        "name": "Velioglu, Murat"
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      {
        "affiliation": "Istanbul Fatih Sultan Mehmet Training & Res Hosp, Radiol Dept, Istanbul, Turkiye", 
        "name": "Yildiz, Omer"
      }, 
      {
        "affiliation": "Istanbul Bakirkoy Sadi Konuk Training & Res Hosp, Radiol Dept, Istanbul, Turkiye", 
        "name": "Selcuk, Hakan Hatem"
      }, 
      {
        "affiliation": "Istanbul Tech Univ, Comp Engn Dept, Istanbul, Turkiye", 
        "name": "Oksuz, Ilkay"
      }, 
      {
        "affiliation": "Istanbul Univ Cerrahpasa, Cerrahpasa Med Fac, Radiol Dept, Istanbul, Turkiye", 
        "name": "Kizilkilic, Osman"
      }, 
      {
        "affiliation": "Acibadem Mehmet Ali Aydinlar Univ, Sch Med, Radiol Dept, Istanbul, Turkiye", 
        "name": "Karaarslan, Ercan"
      }
    ], 
    "description": "<p>The use of deep learning (DL) techniques for automated diagnosis of large vessel occlusion (LVO) and collateral scoring on computed tomography angiography (CTA) is gaining attention. In this study, a state-of-the-art self-configuring object detection network called nnDetection was used to detect LVO and assess collateralization on CTA scans using a multi-task 3D object detection approach. The model was trained on single-phase CTA scans of 2425 patients at five centers, and its performance was evaluated on an external test set of 345 patients from another center. Ground-truth labels for the presence of LVO and collateral scores were provided by three radiologists. The nnDetection model achieved a diagnostic accuracy of 98.26% (95% CI 96.25-99.36%) in identifying LVO, correctly classifying 339 out of 345 CTA scans in the external test set. The DL-based collateral scores had a kappa of 0.80, indicating good agreement with the consensus of the radiologists. These results demonstrate that the self-configuring 3D nnDetection model can accurately detect LVO on single-phase CTA scans and provide semi-quantitative collateral scores, offering a comprehensive approach for automated stroke diagnostics in patients with LVO.</p>", 
    "doi": "10.1038/s41598-023-33723-w", 
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    "journal": {
      "issue": "1", 
      "pages": "9", 
      "title": "SCIENTIFIC REPORTS", 
      "volume": "13"
    }, 
    "license": {
      "id": "cc-by"
    }, 
    "publication_date": "2023-01-01", 
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      "title": "Dergi makalesi", 
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    "science_branches": [
      "Di\u011fer"
    ], 
    "title": "Automated LVO detection and collateral scoring on CTA using a 3D self-configuring object detection network: a multi-center study"
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