Diagnostik und Therapie primärer Knochentumoren

Lenze, Ulrich; Knebel, Carolin; Rechl, H.; Eisenhart-Rothe, Rüdiger von

doi:10.1055/s-0043-120311

Cited by 5 publications

(2 citation statements)

References 14 publications

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“…One challenge in children with bone tumors is the early detection of the disease [5]. Even patients with highly malignant sarcomas often present initially with non-specific pain [6] which might be misinterpreted as growing pain [7]. However, if symptoms persist over time, the first diagnostic tool are usually conventional X-rays.…”

Section: Introductionmentioning

confidence: 99%

Deep Learning-Based Detection of Bone Tumors around the Knee in X-rays of Children

Breden,

Hinterwimmer,

Consalvo

et al. 2023

JCM

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Even though tumors in children are rare, they cause the second most deaths under the age of 18 years. More often than in other age groups, underage patients suffer from malignancies of the bones, and these mostly occur in the area around the knee. One problem in the treatment is the early detection of bone tumors, especially on X-rays. The rarity and non-specific clinical symptoms further prolong the time to diagnosis. Nevertheless, an early diagnosis is crucial and can facilitate the treatment and therefore improve the prognosis of affected children. A new approach to evaluating X-ray images using artificial intelligence may facilitate the detection of suspicious lesions and, hence, accelerate the referral to a specialized center. We implemented a Vision Transformer model for image classification of healthy and pathological X-rays. To tackle the limited amount of data, we used a pretrained model and implemented extensive data augmentation. Discrete parameters were described by incidence and percentage ratio and continuous parameters by median, standard deviation and variance. For the evaluation of the model accuracy, sensitivity and specificity were computed. The two-entity classification of the healthy control group and the pathological group resulted in a cross-validated accuracy of 89.1%, a sensitivity of 82.2% and a specificity of 93.2% for test groups. Grad-CAMs were created to ensure the plausibility of the predictions. The proposed approach, using state-of-the-art deep learning methodology to detect bone tumors on knee X-rays of children has achieved very good results. With further improvement of the algorithm, enlargement of the dataset and removal of potential biases, this could become a useful additional tool, especially to support general practitioners for early, accurate and specific diagnosis of bone lesions in young patients.

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Section: Introductionmentioning

confidence: 99%

Deep Learning-Based Detection of Bone Tumors around the Knee in X-rays of Children

Breden,

Hinterwimmer,

Consalvo

et al. 2023

JCM

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“…Maligne Tumore des Knochens machen etwa 0,2 % aller Malignome aus und finden sich häufig im Bereich des Femurs. Manche Autor*innen meinen sogar, dass dies die häufigste Lokalisation ist 1 – 3 . Tumore, die einen Großteil des Femurs oder seiner umgebenden Weichteile involvieren, sind schwer zu therapieren.…”

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Megaprothesen als Femurersatz – Versorgung nach Osteosarkom

Märdian¹,

Morgenstern²

2022

physiopraxis

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Gelingt ein Totalersatz des Femurs, ermöglicht dies, die Beinfunktion von Menschen mit Sarkomen zu erhalten. Bei der Operation gilt es das tumoröse Gewebe zu entfernen und die Muskelansätze so zu rekonstruieren, dass die Funktion des künstlichen Hüft- und Kniegelenks gewährleistet ist. Um das Operationsergebnis nicht zu gefährden, ist auch bei der physiotherapeutischen Nachbehandlung Fingerspitzengefühl gefragt.

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