Donald School Journal of Ultrasound in Obstetrics and Gynecology

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VOLUME 13 , ISSUE 3 ( July-September, 2019 ) > List of Articles

ORIGINAL RESEARCH

HDlive Flow Silhouette Mode for Assessment of Tumor Vascularity in Advanced Cervical Cancer

Tamaki Tanaka, Tomoya Yamashita, Nobuhiro Mori

Keywords : Advanced cervical cancer, Gastric-type mucinous carcinoma, HDlive flow silhouette mode, Squamous cell carcinoma, Tumor vascularity

Citation Information : Tanaka T, Yamashita T, Mori N. HDlive Flow Silhouette Mode for Assessment of Tumor Vascularity in Advanced Cervical Cancer. Donald School J Ultrasound Obstet Gynecol 2019; 13 (3):110-112.

DOI: 10.5005/jp-journals-10009-1597

License: CC BY-NC 4.0

Published Online: 01-12-2018

Copyright Statement:  Copyright © 2019; The Author(s).


Abstract

Objective: To present our experience in assessing tumor vascularity in advanced cervical cancer using the HDlive flow silhouette mode. Materials and methods: Thirteen advanced cervical cancer patients (11 squamous cell carcinoma (SCC) patients and 2 gastric-type mucinous carcinoma (GAS) patients) were studied using the HDlive flow silhouette mode. Tumor vascularity was assessed using the subjective grading system (grade I, minimal blood flow pattern; grade II, moderate blood flow pattern; and grade III, abundant blood flow pattern). Results: The number of patients with grade I was 0, that of grade II was 4 (36.4%), and that of grade III was 7 (63.6%) in the SCC group, whereas that of grade I was 2 (100%) in the GAS group (p = 0.0128). Conclusion: Tumor vascularity may differ between SCC and GAS advanced cervical cancers. A grading system using the HDlive flow silhouette mode may provide useful, additional information on the assessment of tumor vascularity in the treatment effect on advanced cervical cancers. Further studies involving a larger sample size are needed to confirm the validity of this grading system using the HDlive flow silhouette mode for the assessment of tumor vascularity in advanced cervical cancer patients.


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