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Combination of GI-RADS and 3D-CEUS for differential diagnosis of ovarian masses
Wang, Xiali; ShupingYang,; Lv, Guorong; Liao, Jianmei; Wu, Shufen; Zhang, Weina.
  • Wang, Xiali; Quanzhou Medical College. Department of Clinical Medicine. Quanzhou. CN
  • ShupingYang,; Fujian Medical University. Zhangzhou Affiliated Hospital. Department of Ultrasound. Zhangzhou. CN
  • Lv, Guorong; Quanzhou Medical College. Department of Clinical Medicine. Quanzhou. CN
  • Liao, Jianmei; Fujian Medical University. Zhangzhou Affiliated Hospital. Department of Ultrasound. Zhangzhou. CN
  • Wu, Shufen; Fujian Medical University. Zhangzhou Affiliated Hospital. Department of Ultrasound. Zhangzhou. CN
  • Zhang, Weina; Fujian Medical University. Zhangzhou Affiliated Hospital. Department of Ultrasound. Zhangzhou. CN
Rev. Assoc. Med. Bras. (1992) ; 65(7): 959-964, July 2019. graf
Article in English | LILACS | ID: biblio-1013021
ABSTRACT
SUMMARY OBJECTIVE The purpose of this study is to evaluate the efficacy of the combination of gynecologic imaging reporting and data system (GI-RADS) ultrasonographic stratification and three-dimensional contrast-enhanced ultrasonography (3D-CEUS) in order to distinguish malignant from benign ovarian masses. METHODS In this study, 102 patients with ovarian masses were examined by both two-dimensional ultrasound(2D-US) and 3D-CEUS. Sonographic features of ovarian masses obtained from 3D-CEUS were analyzed and compared with 2D-US. All patients with ovarian masses were confirmed by operational pathology or long-term follow-up results. RESULTS (1)The Chi-square test and multiple Logistic regression analysis confirmed that there were only eight independent predictors of malignant masses, including thick septa (≥3mm), thick papillary projections(≥7mm), solid areas, presence of ascites, central vascularization, contrast enhancement, distribution of contrast agent, and vascular characteristics of the solid part and their odds ratios which were 5.52, 5.39, 4.94, 4.34, 5.92, 7.44, 6.09, and 7.67, respectively (P<0.05). (2)These eight signs were used to combine the GI-RADS with 3D-CEUS scoring system in which the corresponding value of the area under the curve (AUC) was 0.969, which was superior to using GI-RADS lonely (Z-value=1.64, P<0.025). Using 4 points as the cut-off, the scoring system showed the performance was clearly better than using GI-RADS alone (P<0.05). (3) The Kappa value was 0.872 for two different clinicians with equal experience. CONCLUSIONS The combination of GI-RADS and 3D-CEUS scoring system would be a more effective method to distinguish malignant from benign ovarian masses.
RESUMO
RESUMO OBJETIVO O objetivo deste estudo é avaliar a eficácia da combinação da estratificação por ultrassonografia usando o Sistema de Relatórios e Dados de Imagem Ginecológica (GI-RADS) e ultrassonografia 3D com contraste (3D-CEUS) para diferenciar massas ovarianas benignas de malignas. METODOLOGIA Neste estudo, 102 pacientes com massas ovarianas foram examinadas usando ultrassonografia bidimensional (2D-US) e 3D-CEUS. As características ultrassonográficas das massas ovarianas obtidas com 3D-CEUS foram analisadas e comparadas com de 2D-US. Todos os pacientes com massas ovarianas tiveram o diagnóstico confirmado pelos resultados de patologia cirúrgica ou acompanhamento de longo prazo. RESULTADOS (1) O teste qui-quadrado e a regressão logística múltipla confirmaram a existência de apenas oito preditores independentes de massas malignas, incluindo septos espessos (≥3mm), projeções papilares espessas (≥7mm), áreas sólidas, presença de ascite, vascularização central, aumento de contraste, distribuição do agente de contraste e características vasculares da parte sólida e suas razões de possibilidades (OR), que foram 5,52, 5,39, 4,94, 4,34, 5,92, 7,44, 6,09 e 7.67, respectivamente (P< 0,05). (2) Esses oito preditores foram utilizados para combinar o GI-RADS com o sistema de escores da 3D-CEUS, para o qual o valor correspondente da área sob a curva (AUC) foi de 0,969, superior ao uso exclusivo do GI-RADS (valor de Z = 1,64, P < 0,025). Usando 4 pontos como corte, o sistema de escores mostrou que o desempenho foi muito melhor do que com o uso exclusivo do GI-RADS (P < 0,05). (3) O valor de Kappa foi 0,872, obtido por dois médicos diferentes com igual experiência. CONCLUSÃO A combinação do GI-RADS e do sistema de pontuação da 3D-CEUS é um método mais eficaz para distinguir massas ovarianas benignas de malignas.
Subject(s)


Full text: Available Index: LILACS (Americas) Main subject: Ovarian Diseases / Ovarian Neoplasms Type of study: Diagnostic study / Prognostic study / Risk factors Limits: Adolescent / Adult / Female / Humans Language: English Journal: Rev. Assoc. Med. Bras. (1992) Year: 2019 Type: Article Affiliation country: China Institution/Affiliation country: Fujian Medical University/CN / Quanzhou Medical College/CN

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Full text: Available Index: LILACS (Americas) Main subject: Ovarian Diseases / Ovarian Neoplasms Type of study: Diagnostic study / Prognostic study / Risk factors Limits: Adolescent / Adult / Female / Humans Language: English Journal: Rev. Assoc. Med. Bras. (1992) Year: 2019 Type: Article Affiliation country: China Institution/Affiliation country: Fujian Medical University/CN / Quanzhou Medical College/CN