Rink, Maximilian and Kuenzel, Julian and Stroszczynski, Christian and Jung, Friedrich and Jung, Ernst Michael (2025) Smart scanning: automatic detection of superficially located lymph nodes using ultrasound - initial results. ROFO-FORTSCHRITTE AUF DEM GEBIET DER RONTGENSTRAHLEN UND DER BILDGEBENDEN VERFAHREN, 197 (03). pp. 310-316. ISSN 1438-9029, 1438-9010
Full text not available from this repository. (Request a copy)Abstract
Purpose Over the last few years, there has been an increasing focus on integrating artificial intelligence (AI) into existing imaging systems. This also applies to ultrasound. There are already applications for thyroid and breast lesions that enable AI-assisted sonography directly on the device. However, this is not yet the case for lymph nodes. Materials and Methods The aim was to test whether already established programs for AI-assisted sonography of breast lesions and thyroid nodules are also suitable for identifying and measuring superficial lymph nodes. For this purpose, the two programs were used as a supplement to routine ultrasound examinations of superficial lymph nodes. The accuracy of detection by AI was then evaluated using a previously defined score. If available, a comparison was made with cross-sectional imaging. Results The programs that were used are able to adequately detect lymph nodes in the majority of cases (78.6%). Problems were caused in particular by a high proportion of echo-rich fat, blurred differentiation from the surrounding tissues and the occurrence of lymph node conglomerates. The available cross-sectional images did not contradict the classification of the lesion as a lymph node in any case. Conclusion In the majority of cases, the tested programs are already able to detect and measure superficial lymph nodes. Further improvement can be expected through specific training of the software. Further developments and studies are required to assess risk of malignancy.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | STRAIN ELASTOGRAPHY; BREAST; CANCER; artificial intelligence; ultrasound; multimodal ultrasound; lymphatic; lymph node ultrasound; technical aspects |
| Subjects: | 600 Technology > 610 Medical sciences Medicine |
| Divisions: | Medicine > Lehrstuhl für Hals-Nasen-Ohren-Heilkunde Medicine > Lehrstuhl für Röntgendiagnostik |
| Depositing User: | Dr. Gernot Deinzer |
| Date Deposited: | 03 Mar 2026 08:16 |
| Last Modified: | 03 Mar 2026 08:16 |
| URI: | https://pred.uni-regensburg.de/id/eprint/63495 |
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