98%
921
2 minutes
20
Purpose: To summarize the abdominal computed tomography (CT) imaging and clinicopathological data of patients with SPNs of the pancreas and analyze the accuracy of preoperative CT diagnosis and features.
Materials And Methods: Between June 2006 and June 2023, CT images of 120 histopathologically proven SPNs in the pancreas were retrospectively reviewed. Fifteen features, including age, sex, and CT-determined features, were included in a multiple stepwise regression analysis. The correlations between features and SPNs, including odds ratios (ORs) and 95% confidence intervals (CIs), were evaluated.
Results: Among the 120 patients, the diagnostic accuracy of CT was 43.3%. The baseline CT results of patients with a correct diagnosis and misdiagnosis revealed significant differences in sex (P = 0.043), age (P = 0.004), boundary (P = 0.037) and encapsulation (P = 0.002) between the two groups. The preoperative imaging diagnostic accuracy was significantly greater in females than in males (47.9% vs. 25.0%, P = 0.043). The immunohistochemical indices did not significantly differ between the two groups. The results of univariate analysis revealed significant differences in sex (P = 0.048), age (P = 0.014), tumor length (P = 0.023), tumor boundaries (P = 0.039) and capsule type (P = 0.003). The results of multivariate analysis revealed that encapsulation was closely related to the diagnostic accuracy of CT (P = 0.04).
Conclusions: The accuracy of CT in the diagnosis of SPNs is low, but a length‒diameter ratio of the tumor approaching 1.0, encapsulation and clear boundaries are important CT-determined features. The capsule is an independent CT predictor in the diagnosis of SPNs.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11348571 | PMC |
http://dx.doi.org/10.1186/s12957-024-03503-5 | DOI Listing |
JMIR Med Inform
September 2025
Department of Radiology, Air Force Medical Center, Air Force Medical University, Fucheng Road 30, Haidian District, Beijing, CN.
Background: Lateral malleolar avulsion fracture (LMAF) and subfibular ossicle (SFO) are distinct entities that both present as small bone fragments near the lateral malleolus on imaging, yet require different treatment strategies. Clinical and radiological differentiation is challenging, which can impede timely and precise management. On imaging, magnetic resonance imaging (MRI) is the diagnostic gold standard for differentiating LMAF from SFO, whereas radiological differentiation on computed tomography (CT) alone is challenging in routine practice.
View Article and Find Full Text PDFInt J Cardiovasc Imaging
September 2025
Klinikum Fürth, Friedrich-Alexander-University Erlangen- Nürnberg, Fürth, Germany.
Myocarditis is an inflammation of heart tissue. Cardiovascular magnetic resonance imaging (CMR) has emerged as an important non-invasive imaging tool for diagnosing myocarditis, however, interpretation remains a challenge for novice physicians. Advancements in machine learning (ML) models have further improved diagnostic accuracy, demonstrating good performance.
View Article and Find Full Text PDFNanomicro Lett
September 2025
Nanomaterials & System Lab, Major of Mechatronics Engineering, Faculty of Applied Energy System, Jeju National University, Jeju, 63243, Republic of Korea.
Wearable sensors integrated with deep learning techniques have the potential to revolutionize seamless human-machine interfaces for real-time health monitoring, clinical diagnosis, and robotic applications. Nevertheless, it remains a critical challenge to simultaneously achieve desirable mechanical and electrical performance along with biocompatibility, adhesion, self-healing, and environmental robustness with excellent sensing metrics. Herein, we report a multifunctional, anti-freezing, self-adhesive, and self-healable organogel pressure sensor composed of cobalt nanoparticle encapsulated nitrogen-doped carbon nanotubes (CoN CNT) embedded in a polyvinyl alcohol-gelatin (PVA/GLE) matrix.
View Article and Find Full Text PDFWorld J Urol
September 2025
Department of Clinical Laboratory, Fuzhou University Affiliated Provincial Hospital, Fuzhou, 350000, Fujian, China.
Objective: To develop and validate a prognostic nomogram for predicting the risk of proximal ureteral impacted calculi, supporting personalized clinical management.
Methods: This retrospective, multicenter study employed a continuous cohort of 391 patients with proximal ureteral stones treated between January 2021 and April 2024. Data from Longyan People's Hospital (affiliated with Xiamen Medical College) comprised the training set, while independent external validation was performed using data from The Fifth Affiliated Hospital of Fujian University of Traditional Chinese Medicine.
Pediatr Nephrol
September 2025
Pediatric Nephrology Department, Biobizkaia Health Research Institute, Cruces University Hospital, Barakaldo, Spain.
Copeptin, a stable glycopeptide derived from the precursor of arginine vasopressin (AVP), has emerged as a valuable surrogate biomarker for AVP due to its stability and ease of measurement. This narrative review explores the physiological role of copeptin, its utility as a diagnostic and prognostic biomarker in different kidney diseases, and its clinical relevance in renal tubular disorders. The clinical application of copeptin as a diagnostic biomarker is best established in the differential diagnosis of polyuria-polydipsia syndrome (PPS), distinguishing nephrogenic diabetes insipidus (NDI) from central diabetes insipidus (CDI) and primary polydipsia (PP).
View Article and Find Full Text PDF