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Despite important innovations in the treatment of pancreatic ductal adenocarcinoma (PDAC), PDAC remains a disease with poor prognosis and high mortality. A key area for potential improvement in the management of PDAC, aside from earlier detection in patients with treatable disease, is the improved ability of imaging techniques to differentiate treatment response after neoadjuvant therapy (NAT) from worsening disease. It is well established that current imaging techniques cannot reliably make this distinction. This narrative review provides an update on the imaging assessment of pancreatic cancer resectability after NAT. Current definitions of borderline resectable PDAC, as well as implications for determining likely patient benefit from NAT, are described. Challenges associated with PDAC pathologic evaluation and surgical decision making that are of relevance to radiologists are discussed. Also explored are the specific limitations of imaging in differentiating the response after NAT from stable or worsening disease, including issues relating to protocol optimization, tumor size assessment, vascular assessment, and liver metastasis detection. The roles of MRI as well as PET and/or hybrid imaging are considered. Finally, a short PDAC reporting template is provided for use after NAT. The highlighted methods seek to improve radiologists' assessment of PDAC treatment response after NAT.
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http://dx.doi.org/10.2214/AJR.21.26931 | DOI Listing |
J Appl Clin Med Phys
September 2025
Department of Radiation Oncology, Virginia Commonwealth University, Richmond, Virginia, USA.
Purpose: Real‑time magnetic resonance-guided radiation therapy (MRgRT) integrates MRI with a linear accelerator (Linac) for gating and adaptive radiotherapy, which requires robust image‑quality assurance over a large field of view (FOV). Specialized phantoms capable of accommodating this extensive FOV are therefore essential. This study compares the performance of four commercial MRI phantoms on a 0.
View Article and Find Full Text PDFBMC Oral Health
September 2025
Oral and Maxillofacial Radiology Department, Cairo university, Cairo, Egypt.
Aim: The purpose of this study was to assess the accuracy of a customized deep learning model based on CNN and U-Net for detecting and segmenting the second mesiobuccal canal (MB2) of maxillary first molar teeth on cone beam computed tomography (CBCT) scans.
Methodology: CBCT scans of 37 patients were imported into 3D slicer software to crop and segment the canals of the mesiobuccal (MB) root of the maxillary first molar. The annotated data were divided into two groups: 80% for training and validation and 20% for testing.
Lipids Health Dis
September 2025
Epidemiology, Medical Faculty, University of Augsburg, Stenglingstr. 2, Augsburg, 86156, Germany.
Background: This study aimed to investigate the gender-specific associations of skeletal muscle mass and fat mass with non-alcoholic fatty liver disease (NAFLD) and NAFLD-related liver fibrosis in two population-based studies.
Methods: Analyses were based on data from the MEGA (n = 238) and the MEIA study (n = 594) conducted between 2018 and 2023 in Augsburg, Germany. Bioelectrical impedance analysis was used to evaluate relative skeletal muscle mass (rSM) and SM index (SMI) as well as relative fat mass (rFM) and FM index (FMI); furthermore, the fat-to-muscle ratio was built.
BMC Pediatr
September 2025
Department of Pediatrics, Faculty of Medicine, Tanta University, Tanta, Egypt.
Background: This study aimed to evaluate the impact of asthma severity on biventricular cardiac functions using tissue Doppler imaging (TDI), two-dimensional speckle tracking echocardiography (2D-STE), and three-dimensional speckle tracking echocardiography (3D-STE).
Methods: Sixty-three children with asthma, aged between 5 and 16 years, were enrolled in the study along with 63 matched controls. All participants underwent cardiac assessments, including TDI, 2D-STE, 3D-STE, conventional echocardiography, and pulmonary function testing with spirometry.
BMC Endocr Disord
September 2025
Internal Medicine Department, Faculty of Medicine, Beni-Suef University, Beni-Suef City, 62514, Egypt.
Background: Thyroid nodules (TNs) are frequent and often benign. Accurately differentiating between benign and malignant nodules is crucial for proper management. This research aims to use ultrasonography to examine TNs and identify possible risk factors in order to improve patient outcomes and diagnostic accuracy.
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