The criteria for lymph node metastatic disease in uterine cervix cancer patients based on MRI findings

Автор: Zhuk E.G., Kosenko I.A.

Журнал: Сибирский онкологический журнал @siboncoj

Рубрика: Клинические исследования

Статья в выпуске: 1 т.16, 2017 года.

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Introduction. The state of pelvic and retroperitoneal lymph nodes is an important prognostic factor for cervical cancer. Lymph node size is the most widely used CT and MR criteria for assessing lymph node status. Lymph nodes measuring more than 1cm in the short axis diameter are considered malignant. However this criterion (nodal size) is not foolproof because of a high percentage of diagnostic errors. The purpose of the study was to develop objective MRI criteria for assessing lymph node metastasis in patients with cervical cancer by measuring the short- and the long-axis diameters of lymph nodes, short axis/long axis ratio (configuration index) and to evaluate their diagnostic value. Materials and methods. The prospective study included 31 patients with histologically confirmed cervical cancer, who underwent radical surgery with standard lymph node dissection. Sixty removed lymph nodes were evaluated. MRI examinations were performed using a 1.5 T scanner in T2- weighted images (T2-WI), T1-WI and T2 weighted sequences with fatty tissue signal suppressing and diffusionweighted MRI. Results. Lymph nodes measuring ≥0.8 cm in the short axis diameter were considered suspicious for metastatic disease. The sensitivity and specificity with a cutoff of ≥0.8cm were 68 % [CI 48.3-82.9] and 80 % [CI 63.8-90.3], respectively; the positive and negative predictive values were 71 % and 78 %, respectively; and the accuracy was 75 % [CI 62.7-84.3]. The short axis/long axis ratio (configuration index) of function show_eabstract() { $('#eabstract1').hide(); $('#eabstract2').show(); $('#eabstract_expand').hide(); }

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Cervical cancer, lymph nodes, magnetic resonance imaging

Короткий адрес: https://sciup.org/140254088

IDR: 140254088   |   DOI: 10.21294/1814-4861-2017-16-1-14-22

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