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End-to-End Deep Learning Prediction of Neoadjuvant Chemotherapy Response in Osteosarcoma Patients Using Routine MRI.

J Imaging Inform Med

January 2025

Department of Radiology, Peking University People's Hospital, 11 Xizhimen Nandajie, Xicheng District, Beijing, 100044, P. R. China.

This study aims to develop an end-to-end deep learning (DL) model to predict neoadjuvant chemotherapy (NACT) response in osteosarcoma (OS) patients using routine magnetic resonance imaging (MRI). We retrospectively analyzed data from 112 patients with histologically confirmed OS who underwent NACT prior to surgery. Multi-sequence MRI data (including T2-weighted and contrast-enhanced T1-weighted images) and physician annotations were utilized to construct an end-to-end DL model.

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[WHO classification of melanocytic tumours].

Dermatologie (Heidelb)

January 2025

MVZ Dermatohistopathologie Heidelberg, Mönchhofstr. 52, 69120, Heidelberg, Deutschland.

Background: The update of the World Health Organisation (WHO) classification of skin tumours has led to new aspects in the classification of melanocytic tumours.

Objectives: Presentation of the classification of melanocytic tumours in light of current clinical, histological and genetic data.

Materials And Methods: Review of the classification of melanocytic neoplasms in the fifth edition of the WHO classification of skin tumours, taking into account current disease concepts.

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Aim: The current investigation aimed to evaluate the accuracy of ultrasonography and color Doppler performed in the diagnosis of intraosseous jaw lesions.

Materials And Methods: A total of 30 patients with intraosseous jaw lesions between the ages of 12 and 60 were selected for the present study. For every jaw lesion, a preliminary diagnosis was done using preoperative conventional radiographs.

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Glioblastoma (GBM) classification involves a combination of histological and molecular signatures including IDH1/2 mutation, TERT promoter mutation, and EGFR amplification. Non-canonical mutations such as BRAF, found in 1-2% of GBMs, activate the MEK-ERK signaling pathway. This mutation can be targeted by small molecule inhibitors, offering therapeutic potential for GBM.

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[Diagnosis of pediatric melanocytic tumors].

Dermatologie (Heidelb)

January 2025

Universitäts-Hautklinik Tübingen, Liebermeisterstr. 25, 72076, Tübingen, Deutschland.

The histological diagnosis of pediatric melanocytic tumors is challenging, as benign nevi often resemble aggressive tumors. Accurate diagnosis is crucial for the early detection of rare pediatric melanomas. Recent advancements have established a classification based on genetic backgrounds.

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