The diagnosis of femoroacetabular impingement can be made on pelvis radiographs using deep learning methods

atalar, ebru; Kanatlı, Ulunay; Çiçeklidağ, Murat; Üreten, Kemal; kaya, İbrahim; vural, abdurrahman; MARAŞ, YÜKSEL

doi:10.52312/jdrs.2023.996

The diagnosis of femoroacetabular impingement can be made on pelvis radiographs using deep learning methods

Ebru ATALAR, (Ankara Şehir Hastanesi, Romatoloji Anabilim Dalı, İç Hastalıkları Anabilim Dalı, Ankara, Türkiye)

Kemal ÜRETEN, (Çankaya Üniversitesi, Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümü, Ankara, Türkiye)

Ulunay KANATLI, (Gazi Üniversitesi, Tıp Fakültesi, Ortopedi ve Travmatoloji Anabilim Dalı, Ankara, Türkiye)

Murat ÇİÇEKLİDAĞ, (Gazi Üniversitesi, Tıp Fakültesi, Ortopedi ve Travmatoloji Anabilim Dalı, Ankara, Türkiye)

İbrahim KAYA, (Doktor Abdurrahman Yurtaslan Ankara Onkoloji Eğitim ve Araştırma Hastanesi, Ortopedi ve Travmatoloji Anabilim Dalı, Ankara, Türkiye)

Abdurrahman VURAL, (Başakşehir Çam ve Sakura Şehir Hastanesi, Ortopedi ve Travmatoloji Anabilim Dalı, İstanbul, Türkiye)

Yüksel MARAŞ (Ankara Şehir Hastanesi, Romatoloji Anabilim Dalı, İç Hastalıkları Anabilim Dalı, Ankara, Türkiye)

Joint diseases and related surgery

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Yıl: 2023 Cilt: 34 Sayı: 2 Sayfa Aralığı: 298 - 304 Metin Dili: İngilizce DOI: 10.52312/jdrs.2023.996 İndeks Tarihi: 11-07-2023

The diagnosis of femoroacetabular impingement can be made on pelvis radiographs using deep learning methods

Öz:

Objectives: The aim of this study was to evaluate diagnostic ability of deep learning models, particularly convolutional neural network models used for image classification, for femoroacetabular impingement (FAI) using hip radiographs. Materials and methods: Between January 2010 and December 2020, pelvic radiographs of a total of 516 patients (270 males, 246 females; mean age: 39.1±3.8 years; range, 20 to 78 years) with hip pain were retrospectively analyzed. Based on inclusion and exclusion criteria, a total of 888 hip radiographs (308 diagnosed with FAI and 508 considered normal) were evaluated using deep learning methods. Pre-trained VGG-16, ResNet-101, MobileNetV2, and Inceptionv3 models were used for transfer learning. Results: As assessed by performance measures such as accuracy, sensitivity, specificity, precision, F-1 score, and area under the curve (AUC), the VGG-16 model outperformed other pre-trained networks in diagnosing FAI. With the pre-trained VGG-16 model, the results showed 86.6% accuracy, 82.5% sensitivity, 89.6% specificity, 85.5% precision, 83.9% F1 score, and 0.92 AUC. Conclusion: In patients with suspected FAI, pelvic radiography is the first imaging method to be applied, and deep learning methods can help in the diagnosis of this syndrome.

Anahtar Kelime:

Belge Türü: Makale Makale Türü: Araştırma Makalesi Erişim Türü: Erişime Açık

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APA	atalar e, Üreten K, Kanatlı U, Çiçeklidağ M, kaya İ, vural a, MARAŞ Y (2023). The diagnosis of femoroacetabular impingement can be made on pelvis radiographs using deep learning methods. , 298 - 304. 10.52312/jdrs.2023.996
Chicago	atalar ebru,Üreten Kemal,Kanatlı Ulunay,Çiçeklidağ Murat,kaya İbrahim,vural abdurrahman,MARAŞ YÜKSEL The diagnosis of femoroacetabular impingement can be made on pelvis radiographs using deep learning methods. (2023): 298 - 304. 10.52312/jdrs.2023.996
MLA	atalar ebru,Üreten Kemal,Kanatlı Ulunay,Çiçeklidağ Murat,kaya İbrahim,vural abdurrahman,MARAŞ YÜKSEL The diagnosis of femoroacetabular impingement can be made on pelvis radiographs using deep learning methods. , 2023, ss.298 - 304. 10.52312/jdrs.2023.996
AMA	atalar e,Üreten K,Kanatlı U,Çiçeklidağ M,kaya İ,vural a,MARAŞ Y The diagnosis of femoroacetabular impingement can be made on pelvis radiographs using deep learning methods. . 2023; 298 - 304. 10.52312/jdrs.2023.996
Vancouver	atalar e,Üreten K,Kanatlı U,Çiçeklidağ M,kaya İ,vural a,MARAŞ Y The diagnosis of femoroacetabular impingement can be made on pelvis radiographs using deep learning methods. . 2023; 298 - 304. 10.52312/jdrs.2023.996
IEEE	atalar e,Üreten K,Kanatlı U,Çiçeklidağ M,kaya İ,vural a,MARAŞ Y "The diagnosis of femoroacetabular impingement can be made on pelvis radiographs using deep learning methods." , ss.298 - 304, 2023. 10.52312/jdrs.2023.996
ISNAD	atalar, ebru vd. "The diagnosis of femoroacetabular impingement can be made on pelvis radiographs using deep learning methods". (2023), 298-304. https://doi.org/10.52312/jdrs.2023.996

APA	atalar e, Üreten K, Kanatlı U, Çiçeklidağ M, kaya İ, vural a, MARAŞ Y (2023). The diagnosis of femoroacetabular impingement can be made on pelvis radiographs using deep learning methods. Joint diseases and related surgery, 34(2), 298 - 304. 10.52312/jdrs.2023.996
Chicago	atalar ebru,Üreten Kemal,Kanatlı Ulunay,Çiçeklidağ Murat,kaya İbrahim,vural abdurrahman,MARAŞ YÜKSEL The diagnosis of femoroacetabular impingement can be made on pelvis radiographs using deep learning methods. Joint diseases and related surgery 34, no.2 (2023): 298 - 304. 10.52312/jdrs.2023.996
MLA	atalar ebru,Üreten Kemal,Kanatlı Ulunay,Çiçeklidağ Murat,kaya İbrahim,vural abdurrahman,MARAŞ YÜKSEL The diagnosis of femoroacetabular impingement can be made on pelvis radiographs using deep learning methods. Joint diseases and related surgery, vol.34, no.2, 2023, ss.298 - 304. 10.52312/jdrs.2023.996
AMA	atalar e,Üreten K,Kanatlı U,Çiçeklidağ M,kaya İ,vural a,MARAŞ Y The diagnosis of femoroacetabular impingement can be made on pelvis radiographs using deep learning methods. Joint diseases and related surgery. 2023; 34(2): 298 - 304. 10.52312/jdrs.2023.996
Vancouver	atalar e,Üreten K,Kanatlı U,Çiçeklidağ M,kaya İ,vural a,MARAŞ Y The diagnosis of femoroacetabular impingement can be made on pelvis radiographs using deep learning methods. Joint diseases and related surgery. 2023; 34(2): 298 - 304. 10.52312/jdrs.2023.996
IEEE	atalar e,Üreten K,Kanatlı U,Çiçeklidağ M,kaya İ,vural a,MARAŞ Y "The diagnosis of femoroacetabular impingement can be made on pelvis radiographs using deep learning methods." Joint diseases and related surgery, 34, ss.298 - 304, 2023. 10.52312/jdrs.2023.996
ISNAD	atalar, ebru vd. "The diagnosis of femoroacetabular impingement can be made on pelvis radiographs using deep learning methods". Joint diseases and related surgery 34/2 (2023), 298-304. https://doi.org/10.52312/jdrs.2023.996