This article explores the clinical value of the artificial intelligence computer-aided diagnosis system in the diagnosis of superficial lymph nodes. In this study, characteristic ultrasonic parameters of 185 cases of lymph nodes (including 110 benign and 75 malignant) confirmed by pathology were quantified by the superficial lymphadenopathy computer-aided diagnosis system, including margin, appearance, medulla proportion, medulla distribution, echogenicity, echogeneity, vascular density, and vascular pattern. A nonparametric rank sum test was used between the parameters. The sensitivity, specificity, and accuracy of the artificial intelligence computer-aided diagnosis system in the diagnosis of superficial lymph nodes were 80.0%, 80.9%, and 80.5%. The characteristics of margin, appearance, medulla proportion, medulla distribution, echogenicity, echogeneity, vascular density, and vascular pattern could identify benign and malignant lymph nodes. The artificial intelligence superficial lymphadenopathy computer-aided diagnosis system can screen out the characteristic ultrasonic parameters of benign and malignant lymph nodes, which has important value in lymph node clinical diagnosis.
Background Lymphadenopathy may result from inflammation, tuberculosis, or tumors, with lymph node status being a key prognostic indicator. Early accurate differentiation of benign and malignant lesions is therefore vital for clinical management. Although imaging offers adjunctive information, histopathology and cytolog...
Cheng-Cheng Du, Chun-Hai Li, Hong Meng et al.· Frontiers in Medicine· 0 citations
The application of artificial intelligence is not limited to diagnosis and is expanding to the selection of follow-up intervals, automated detection of nodule growth, bronchoscopic navigation, surgical planning, and determination of treatment volumes in radiation therapy.
N. Nazarov· Journal of modern medicine· 0 citations
Relevance: Endometrial cancer (EC) is one of the most common malignant neoplasms of the female reproductive system in developed countries. Despite a relatively favorable prognosis when detected early, diagnosis at preclinical stages remains challenging, especially in patients with obesity, metabolic disorders, and conc...
E. Panshina, O. Yurikova, D. Toleshbayev et al.· Eurasian Journal of Oncology...· 0 citations
Assessment of lymphatic drainage areas is a critical task in ultrasound (US) examination of organs and tissues involved in various pathological processes. Superficially located lymph nodes (LNs) are more accessible for US evaluation. The numerous LN changes identified in ultrasound often are challenging for interpretat...
E. P. Fisenko, G. F. Allahverdieva, M. N. Bulanov et al.· Ultrasound & Functional...· 0 citations
Vessel-suppressed images demonstrated high sensitivity for malignant pulmonary nodules, whereas CADe performance varied by nodule type and location, whereas CADe performance varied by nodule type and location.
Ariadne K. DeSimone, Kathryn A. Schulz, S. Byrne et al.· Journal of thoracic imaging· 0 citations
Background and Objectives: Bethesda Category IV thyroid nodules present a diagnostic challenge due to their variable risk of malignancy and uncertain cytological features. Therefore, determining the risk of malignancy before surgery is important. This study aims to identify clinical, biochemical, and ultrasonographic f...
Y. Kahraman, İsmail Özer, M. Aydın et al.· Diagnostics· 0 citations
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