Clinical management of incidental findings on pelvic adnexal masses

Dias, D.S.; Bueloni-Dias, Flávia Neves; Delmanto, Armando; Tonon, Ângela Favorito Santarém; Tayfour, Najla Mohamad; Traiman, Paulo; Dias, Rogério

doi:10.1590/1806-9282.61.05.469

Cited by 5 publications

(5 citation statements)

References 29 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Some cystic formations may be complex cysts with exfoliation, hemorrhage, or thick walls. Differential diagnosis between tumor-like, benign, and malignant ovarian lesions is quite difficult and transvaginal, and transabdominal ultrasonography becomes a tool of primary imaging [ 8 , 9 ]. According to the classification of the International Ovarian Tumor Analysis group, multilocular cysts with a solid component have the highest risk of malignancy [ 8 ].…”

Section: Introductionmentioning

confidence: 99%

“…Despite the frequent use of magnetic resonance imaging and computed tomography to characterize ovarian pathology, qualitative images of ovarian masses can be obtained using multiparametric ultrasonography, which is based on the use of standard B-mode, color Doppler mapping, energy and spectral Doppler mode and thus simplifying the process of diagnosing this pathology [ 8 , 9 ].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Multiparametric Ultrasound Examination in Tumor-Like Formations of the Ovaries

et al. 2020

View full text Add to dashboard Cite

Properly diagnosed tumor-like formations of the ovaries facilitate the correct selection of patients who may not require surgery, or choose surgery with minimal access if such intervention is required. Subjective assessment of the features of tumor-like formations with the help of ultrasound diagnostics, including compression elastography, proved to be highly effective in the differential diagnosis of bulky ovarian formations. All tumor-like formations have their sonographic features that allow making a reliable diagnosis of a particular formation. The article reveals data on the diagnostic significance of multiparametric ultrasound imaging in the detection of ovarian tumor-like formations. A detailed sonographic picture of tumor-like formations in B-mode, color, and pulse Doppler mode and compression sonoelastography mode was analyzed. This examination was especially relevant for women of reproductive age, as it depended on the further tactics of treatment of each patient. For all types of tumor-like formations ovaries, a qualitative feature was determined - elastotype on the Ueno scale and the index of stiffness (Strain Ratio) - a quantitative indicator. Follicular cysts, endometrioid and periovarian cysts were found to belong to the 0 elastotype. Cysts of the corpus luteum belonged to the II elastotype on the Ueno scale. The lowest values of the stiffness index were seen in follicular and periovarian cysts, and the highest value was observed in endometrioid cysts. Our results have shown that ultrasound examination of ovarian tumors is an accurate and highly informative method.

show abstract

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Multiparametric Ultrasound Examination in Tumor-Like Formations of the Ovaries

et al. 2020

View full text Add to dashboard Cite

show abstract

“…Ovarian Cancer is the second most common gynecologic cancer worldwide and the sixth most common cancer in women (3) with approximately 255,000 new cases diagnosed each year (5). It has the highest mortality rate among gynecologic cancers with a general survival rate of less than 50% (8).…”

Section: Introductionmentioning

confidence: 99%

Comparison of SASSONE Scoring and ADNEX Model in Differentiating Benign and Malignant Ovarian Neoplasm in a University Hospital

Mallari¹,

Coloma²

2018

jmust

View full text Add to dashboard Cite

Background Ovarian cancer is the second most common gynecologic cancer worldwide and are usually diagnosed in advanced stages where prognosis is very poor. Ultrasound has been widely used to screen and differentiate benign and malignant ovarian neoplasm. There are several ultrasound scoring system designed to aid in the diagnosis, however, there is still no standard method accepted for screening of ovarian cancer. Objective To compare the accuracy of SASSONE Scoring and ADNEX Model in differentiating benign and malignant ovarian neoplasm in the University of Santo Tomas Hospital. Methodology Sixty-eight women who presented with an ovarian neoplasm by history and physical examination were recruited from January to October 2017. Ultrasound was requested to further characterize the mass. Sassone scoring and ADNEX Model were applied and computed based on the sonologic fi ndings to differentiate whether the ovarian neoplasm was benign or malignant. The gold standard was the histopathologic examination of the mass after surgery. Results There was no signifi cant difference in the accuracy of Sassone Scoring and ADNEX model in pre-operatively differentiating benign and malignant ovarian neoplasm with 88% and 89% accuracy rate, respectively. Sassone scoring has a sensitivity of 62.5% and specifi city of 91.67% while ADNEX has a sensitivity and specifi city of 37.5% and 96.67%, respectively. Conclusion There is no signifi cant difference in using SASSONE and ADNEX model in differentiating benign and malignant ovarian neoplasm prior to surgery. Both may be used as an ultrasound scoring system for predicting ovarian malignancy. However, in cases of suspicious tumors, ADNEX model is more useful in discriminating the type and stage of malignancy.

show abstract

“…First-line imaging tool is ultrasonography, either transabdominal or transvaginal. 1,2 According to the classification of the International Ovarian Tumour Analysis Group, solid lesions or multilocular cysts with solid component have the highest risk of malignancy. 2 Imaging with conventional greyscale ultrasonography, Doppler ultrasonography and/or MRI is important for diagnosis before deciding about surgery.…”

Section: Introductionmentioning

confidence: 99%

“…1,2 According to the classification of the International Ovarian Tumour Analysis Group, solid lesions or multilocular cysts with solid component have the highest risk of malignancy. 2 Imaging with conventional greyscale ultrasonography, Doppler ultrasonography and/or MRI is important for diagnosis before deciding about surgery. 1 It is reported that subjective evaluation of greyscale ultrasonography characteristics, colour and power Doppler imaging and three-dimensional Doppler imaging characteristics of the ovarian malignant and benign lesions might differ, and each modality has some advantages over the other.…”

Section: Introductionmentioning

confidence: 99%