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Validity Of Grayscale Ultrasound And Resistive Index In The Detection Of Nature Of Ovarian Neoplasms By Taking Histopathology As A Gold Standard.
Akram, Faiza; Ali, Azmat; Kiani, Sumaira; Asma, Bibi; Bibi, Saima; Zafar, Danish.
Afiliação
  • Akram F; Department of Radiology, Ayub Medical College, Abbottabad, Pakistan.
  • Ali A; Department of Radiology, Ayub Medical College, Abbottabad, Pakistan.
  • Kiani S; Department of Radiology, Ayub Medical College, Abbottabad, Pakistan.
  • Asma B; Department of Paediatrics, Bacha Khan Medical Complex Swabi, Pakistan.
  • Bibi S; Department of Paediatrics.
  • Zafar D; Department of Ophthalmology, Ayub Medical College, Abbottabad, Pakistan.
J Ayub Med Coll Abbottabad ; 32(3): 378-381, 2020.
Article em En | MEDLINE | ID: mdl-32829555
ABSTRACT

BACKGROUND:

The utility of ultrasound has long been established in the diagnosis of benign and malignant ovarian neoplasms. Ultrasound is a safe and non-invasive imaging modality that has a high sensitivity and specificity. The objective was to determine the validity of grayscale ultrasound and resistive index in the detection of nature of ovarian neoplasms by taking histopathology as a gold standard.

METHODS:

It was Cross-sectional study conducted in department of Radiology, Ayub Teaching Hospital Abbottabad from May 16 to November 30, 2014. Twohundred- twenty-one female patients in whom an adnexal mass was noted on pelvic ultrasound were included in the study.

RESULTS:

Out of these 221 patients, malignant ovarian masses were present in 50 (22.62%) patients on grayscale ultrasound. While a resistive index ≤0.6 was found in 56 (25.34%) patients. Over all the sensitivity of grayscale ultrasound was 95% and the specificity was 93.37%. Likewise, the sensitivity and specificity of resistive index were 95% and 90.06% respectively.

CONCLUSIONS:

This study showed the grayscale ultrasound is a sensitive imaging modality for differentiation of benign and malignant ovarian masses.
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Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias Ovarianas / Interpretação de Imagem Assistida por Computador / Ultrassonografia Tipo de estudo: Diagnostic_studies / Observational_studies / Prevalence_studies / Risk_factors_studies Limite: Female / Humans Idioma: En Ano de publicação: 2020 Tipo de documento: Article
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Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias Ovarianas / Interpretação de Imagem Assistida por Computador / Ultrassonografia Tipo de estudo: Diagnostic_studies / Observational_studies / Prevalence_studies / Risk_factors_studies Limite: Female / Humans Idioma: En Ano de publicação: 2020 Tipo de documento: Article