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Vol 78, No 5 (2007)
ARTICLES
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Clinical assessment of selected vascularization attributes of adnexal masses in preoperative prediction of tumor malignancy

Kamila Witczak, Dariusz Szpurek, Rafał Moszyński, Łukasz Sroka, Stefan Sajdak
Ginekol Pol 2007;78(5).

open access

Vol 78, No 5 (2007)
ARTICLES

Abstract

Overview: Preoperative differential diagnosis of adnexal masses has been a challenge for researchers for years. Prediction of tumor malignancy is essential for selection of optimal treatment with lowest risk for patient. Assessment of various tumor vascularization attributes, using color Doppler semi-quantitative analysis, can be helpful for malignancy differentiation. Objectives: To assess value of selected vascularization attributes of adnexal masses in preoperative prediction of tumor malignancy. Materials and Methods: This study included 521 women diagnosed and treated for adnexal masses (181 malignant and 340 benign) in Obstetrics and Gynecology Hospital of University of Medical Sciences in Poznan between 1994 and 2004. All of them underwent color Doppler examination using Aloka 2000 and 5500 devices (vaginal probes 5,0-6,5 MHz, abdominal probes 3,5-5 MHz) with evaluation of such attributes as: vessels count, localization and structure; semi-quantitative scale was also constructed basing on these parameters. Results: There was a significantly higher number of vessels (cut-off value=4; p<0,0001), central vessels localization (p<0,0001) and irregular structure of vessels (p<0,0001) in patients with confirmed malignant tumor. Constructed semi-quantitative Doppler scale resulted in highest diagnostic accuracy (cut-off value=3; p<0,0001). Conclusions: Central vessels localization was the single most significant attribute in tumor malignancy differentiation. Constructed semi-quantitative Doppler scale resulted in highest diagnostic accuracy and can be a useful tool in preoperative prediction of tumormalignancy.

Abstract

Overview: Preoperative differential diagnosis of adnexal masses has been a challenge for researchers for years. Prediction of tumor malignancy is essential for selection of optimal treatment with lowest risk for patient. Assessment of various tumor vascularization attributes, using color Doppler semi-quantitative analysis, can be helpful for malignancy differentiation. Objectives: To assess value of selected vascularization attributes of adnexal masses in preoperative prediction of tumor malignancy. Materials and Methods: This study included 521 women diagnosed and treated for adnexal masses (181 malignant and 340 benign) in Obstetrics and Gynecology Hospital of University of Medical Sciences in Poznan between 1994 and 2004. All of them underwent color Doppler examination using Aloka 2000 and 5500 devices (vaginal probes 5,0-6,5 MHz, abdominal probes 3,5-5 MHz) with evaluation of such attributes as: vessels count, localization and structure; semi-quantitative scale was also constructed basing on these parameters. Results: There was a significantly higher number of vessels (cut-off value=4; p<0,0001), central vessels localization (p<0,0001) and irregular structure of vessels (p<0,0001) in patients with confirmed malignant tumor. Constructed semi-quantitative Doppler scale resulted in highest diagnostic accuracy (cut-off value=3; p<0,0001). Conclusions: Central vessels localization was the single most significant attribute in tumor malignancy differentiation. Constructed semi-quantitative Doppler scale resulted in highest diagnostic accuracy and can be a useful tool in preoperative prediction of tumormalignancy.
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Keywords

Ovarian Diseases - ultrasonography, Ovarian Neoplasms - ultrasonography, ultrasonography doppler, Diagnosis differential

About this article
Title

Clinical assessment of selected vascularization attributes of adnexal masses in preoperative prediction of tumor malignancy

Journal

Ginekologia Polska

Issue

Vol 78, No 5 (2007)

Bibliographic record

Ginekol Pol 2007;78(5).

Keywords

Ovarian Diseases - ultrasonography
Ovarian Neoplasms - ultrasonography
ultrasonography doppler
Diagnosis differential

Authors

Kamila Witczak
Dariusz Szpurek
Rafał Moszyński
Łukasz Sroka
Stefan Sajdak

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