Bolla, Daniele Maik; In-Albon, Sarah; Papadia, Andrea; Di Naro, Edoardo; Gasparri, Maria Luisa; Mueller, Michael; Raio, Luigi (2015). Doppler Ultrasound Flow Evaluation of the Uterine Arteries Significantly Correlates with Tumor Size in Cervical Cancer Patients. Annals of surgical oncology, 22(Suppl3), pp. 959-963. Springer 10.1245/s10434-015-4655-4
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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.
Item Type: |
Journal Article (Original Article) |
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Division/Institute: |
04 Faculty of Medicine > Department of Gynaecology, Paediatrics and Endocrinology (DFKE) > Clinic of Gynaecology |
UniBE Contributor: |
Bolla, Daniele Maik, In-Albon, Sarah, Papadia, Andrea, Mueller, Michael, Raio, Luigi |
Subjects: |
600 Technology > 610 Medicine & health |
ISSN: |
1068-9265 |
Publisher: |
Springer |
Language: |
English |
Submitter: |
Monika Zehr |
Date Deposited: |
25 Feb 2016 10:51 |
Last Modified: |
05 Dec 2022 14:53 |
Publisher DOI: |
10.1245/s10434-015-4655-4 |
PubMed ID: |
26036189 |
BORIS DOI: |
10.7892/boris.77818 |
URI: |
https://boris.unibe.ch/id/eprint/77818 |