Literature DB >> 26036189

Doppler Ultrasound Flow Evaluation of the Uterine Arteries Significantly Correlates with Tumor Size in Cervical Cancer Patients.

Daniele Bolla1, Sarah In-Albon1, Andrea Papadia2, Edoardo Di Naro3, Maria Luisa Gasparri4, Michael M Mueller1, Luigi Raio1.   

Abstract

PURPOSE: The aim of this present study was to evaluate the sonographic correlation between Doppler flow characteristics of the uterine arteries and tumor size in patients with cervical cancer, in order to establish a new potential marker to monitor treatment response.
METHODS: This was a retrospective cohort study of 25 patients who underwent a sonographic evaluation of Doppler flow characteristics of the uterine arteries before surgery or radiochemotherapy for early and locally advanced/advanced cervical cancer, respectively, was analyzed. The primary outcome was the correlation between Doppler flow characteristics of the uterine arteries and tumor size in patients with cervical cancer.
RESULTS: Median age was 49 (range 26-85) years, and mean tumor size was 40.8 ± 17 mm. A significant positive correlation was found between tumor diameter and the uterine artery end-diastolic velocity (r = 0.47, p < 0.05) as well as the peak systolic velocity (r = 0.41, p < 0.05). No correlation was found between tumor size and the pulsatility index or resistance index.
CONCLUSIONS: In cervical cancer, uterine artery velocity parameters are associated with tumor size. This finding could become particularly useful in the follow-up of locally advanced cervical cancer patients undergoing radiochemotherapy or in corroborating the selection of women with more possibility of a high response rate during neoadjuvant chemotherapy before surgery.

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Year:  2015        PMID: 26036189     DOI: 10.1245/s10434-015-4655-4

Source DB:  PubMed          Journal:  Ann Surg Oncol        ISSN: 1068-9265            Impact factor:   5.344


  1 in total

1.  A Preliminary Study on Exploring a potential Ultrasound Method for Predicting Cervical Cancer.

Authors:  Qiuqing Zheng; Chunyi Lin; Dong Xu; Huicheng Zhao; Mei Song; Di Ou; Le Shi
Journal:  J Cancer       Date:  2022-01-01       Impact factor: 4.207

  1 in total

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