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Establishment of a Diagnostic Method for Pelvic Sentinel Lymph Node Metastasis by Contrast-Enhanced Ultrasound in Uterine Cancer.

Authors :
Toki, Asami
Niikura, Hitoshi
Mori, Naoko
Shigeta, Shogo
Nagai, Tomoyuki
Tokunaga, Hideki
Shimada, Muneaki
Yaegashi, Nobuo
Source :
Ultrasound in Medicine & Biology. Aug2021, Vol. 47 Issue 8, p2107-2116. 10p.
Publication Year :
2021

Abstract

This study investigated the usefulness of conventional ultrasound (US) and contrast-enhanced ultrasound (CEUS) in distinguishing metastasis of pelvic sentinel lymph nodes (SLNs) in patients with gynecological cancer. We examined 74 SLNs of patients with endometrial cancer (n = 26) and cervical cancer (n = 11). Patients underwent US and CEUS followed by SLN biopsy; US and CEUS results were evaluated visually and quantitatively and compared between pathological metastasis-negative and -positive groups. To support CEUS results, the microvessel density of SLNs was evaluated immunohistochemically. Seventeen positive and 40 negative SLNs were evaluable. Margin and enhancement patterns by visual assessment revealed significant differences (p = 0.046 and 0.022, respectively). In quantitative time-intensity curve analyses, the weakest peak intensities (PImin), PI ratio and PI difference indicated significant differences (p = 0.045, p < 0.001 and p < 0.001, respectively). The areas under the receiver operating characteristic curves (AUCs) were 0.64, 0.82 and 0.83, respectively. The most effective PI ratio from the AUC was 1.3 (sensitivity = 82%, specificity = 70%), and the PI difference from the AUC was 20 (sensitivity = 88%, specificity = 70%). Microvessel density was significantly lower in metastatic lesions than in other areas. The quantitative analysis of CEUS seemed to be a reasonable method for distinguishing lymph node metastasis in patients with gynecological cancer. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
03015629
Volume :
47
Issue :
8
Database :
Academic Search Index
Journal :
Ultrasound in Medicine & Biology
Publication Type :
Academic Journal
Accession number :
151123971
Full Text :
https://doi.org/10.1016/j.ultrasmedbio.2021.03.040