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首页> 外文期刊>International journal of gynecological cancer: official journal of the International Gynecological Cancer Society >Differentiation of ovarian cancers from borderline ovarian tumors on the basis of evaluation of tumor vascularity in multi-row detector computed tomography - Comparison with histopathology
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Differentiation of ovarian cancers from borderline ovarian tumors on the basis of evaluation of tumor vascularity in multi-row detector computed tomography - Comparison with histopathology

机译：在多行检测器计算机断层扫描中评估肿瘤血管的基础上，将卵巢癌与交界性卵巢肿瘤区分开来-与组织病理学比较

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Objective: The aim of this study was to evaluate the feasibility of multiYdetector row computed tomography (MDCT) in the differentiation between borderline ovarian tumors and ovarian cancer on the basis of tumor morphology and specific features of tumor vascularity in correlation with the results at pathology. Methods: A triphasic MDCT protocol was used for the analysis of tumor vascularity. The following features were taken into account: (1) The number of vessels in papillary projections, solid-tissue component, and septa (2 vs >2), (2) serpentine and chaotic configuration of vessels, (3) presence of microaneurysms, and (4) presence of arteriovenous microfistulas. Masses with at least 3 of 4 features were considered ovarian cancer (group A) and masses with 2 features or less as borderline tumor (group B). Radiological findings were compared with results of postoperative pathology. Results: Pathologic vesselswere found in all 56 patients. Thirty-two patients were included in group A and 24 in group B. The results of pathology were as follows: in group A: 31 malignant tumors, including 31 ovarian carcinomas and 1 benign cystadenoma; in group B: 22 borderline ovarian tumors, 1 benign cystadenoma, and 1 ovarian cancer. Conclusions: Morphological evaluation of tumor vascularity in MDCT seems to be an efficient method of differentiating between borderline ovarian tumors and ovarian carcinomas. Because of a small number of cases in the current study, a further research seems justified to confirm our results. The presented MDCT-angiographic criteria showed high sensitivity (97%) and specificity (96%) in differentiation of borderline ovarian tumors and ovarian cancers as compared with pathology. The presented CT-angiographic criteria of malignancy showed an excellent interobserver agreement.
机译：目的：本研究的目的是根据肿瘤的形态学和肿瘤血管的具体特征，并与病理结果相关联，评估multiYdetector行计算机断层扫描（MDCT）在区分边缘性卵巢肿瘤和卵巢癌中的可行性。方法：采用三阶段MDCT方案分析肿瘤血管。考虑到以下特征：（1）乳头状突起中的血管数量，实体组织成分和隔垫（2 vs> 2），（2）蛇形和混乱的血管结构，（3）存在微动脉瘤， （4）动静脉微瘘的存在。至少有4个特征中的3个的肿块被认为是卵巢癌（A组），而具有2个特征或以下特征的肿块被认为是交界性肿瘤（B组）。将影像学检查结果与术后病理结果进行比较。结果：56例患者均发现病理性血管。 A组32例，B组24例。病理结果如下：A组：31例恶性肿瘤，包括31例卵巢癌和1例良性囊性腺瘤。 B组：22例卵巢交界性肿瘤，1例良性囊腺瘤和1例卵巢癌。结论：MDCT中肿瘤血管的形态学评估似乎是区分边缘性卵巢肿瘤和卵巢癌的有效方法。由于本研究中的病例较少，因此进一步的研究似乎有必要证实我们的结果。提出的MDCT血管造影标准与病理学相比，在分化性交界性卵巢肿瘤和卵巢癌中显示出高敏感性（97％）和特异性（96％）。提出的CT血管造影恶性标准显示了极好的观察者一致性。

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