• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

基于超声的卵巢癌诊断简易规则。

Simple ultrasound-based rules for the diagnosis of ovarian cancer.

作者信息

Timmerman D, Testa A C, Bourne T, Ameye L, Jurkovic D, Van Holsbeke C, Paladini D, Van Calster B, Vergote I, Van Huffel S, Valentin L

机构信息

Department of Obstetrics and Gynecology, University Hospitals KU Leuven, Leuven, Belgium.

出版信息

Ultrasound Obstet Gynecol. 2008 Jun;31(6):681-90. doi: 10.1002/uog.5365.

DOI:10.1002/uog.5365
PMID:18504770
Abstract

OBJECTIVE

To derive simple and clinically useful ultrasound-based rules for discriminating between benign and malignant adnexal masses.

METHODS

In a multicenter study involving nine centers consecutive patients with persistent adnexal tumors underwent transvaginal gray-scale and Doppler ultrasound examination using a standardized examination technique and standardized terms and definitions. Information on 42 gray-scale ultrasound variables and six Doppler variables was collected and entered into a research protocol. When developing simple ultrasound-based rules to predict malignancy (M-rules) we chose the ultrasound variable or the combination of ultrasound variables that had the highest positive predictive value (PPV) with regard to malignancy; when developing simple rules to predict a benign tumor (B-rules) we chose the ultrasound variable or the combination of ultrasound variables that had the lowest PPV with regard to malignancy. We selected ten rules that were in agreement with our clinical experience and were applicable to at least 30 tumors and then tested them prospectively on 507 tumors examined in three of the nine centers.

RESULTS

1066 patients with 1233 adnexal tumors were included. There were 903 benign tumors (73%) and 330 malignant tumors (27%). In 167 patients the tumors were bilateral. We selected five simple rules to predict malignancy (M-rules): (1) irregular solid tumor; (2) ascites; (3) at least four papillary structures; (4) irregular multilocular-solid tumor with a largest diameter of at least 100 mm; and (5) very high color content on color Doppler examination. We chose five simple rules to suggest a benign tumor (B-rules): (1) unilocular cyst; (2) presence of solid components where the largest solid component is < 7 mm in largest diameter; (3) acoustic shadows; (4) smooth multilocular tumor less than 100 mm in largest diameter; and (5) no detectable blood flow on Doppler examination. These ten rules were applicable to 76% of all tumors, where they resulted in a sensitivity of 93%, specificity of 90%, positive likelihood ratio (LR+) of 9.45 and negative likelihood ratio (LR-) of 0.08. When prospectively tested the rules were applicable in 76% (386/507) of the tumors, where they had a sensitivity of 95% (106/112), a specificity of 91% (249/274), LR+ of 10.37, and LR- of 0.06.

CONCLUSION

Most adnexal tumors in an ordinary tumor population can be correctly classified as benign or malignant using simple ultrasound-based rules. For tumors that cannot be classified using simple rules, ultrasound examination by an expert examiner might be useful.

摘要

目的

推导基于超声的简单且具有临床实用性的规则,以鉴别附件包块的良恶性。

方法

在一项多中心研究中,九个中心的连续患者患有持续性附件肿瘤,采用标准化检查技术及标准化术语和定义,接受经阴道灰阶和多普勒超声检查。收集了42个灰阶超声变量和6个多普勒变量的信息,并录入研究方案。在制定基于超声的预测恶性肿瘤的简单规则(M规则)时,我们选择了对恶性肿瘤具有最高阳性预测值(PPV)的超声变量或超声变量组合;在制定预测良性肿瘤的简单规则(B规则)时,我们选择了对恶性肿瘤具有最低PPV的超声变量或超声变量组合。我们选择了十条符合临床经验且适用于至少30个肿瘤的规则,然后在九个中心中的三个中心对507个肿瘤进行前瞻性测试。

结果

纳入1066例患者,共1233个附件肿瘤。其中良性肿瘤903个(73%),恶性肿瘤330个(27%)。167例患者为双侧肿瘤。我们选择了五条预测恶性肿瘤的简单规则(M规则):(1)不规则实性肿瘤;(2)腹水;(3)至少四个乳头状结构;(4)最大直径至少100mm的不规则多房实性肿瘤;(5)彩色多普勒检查时彩色含量极高。我们选择了五条提示良性肿瘤的简单规则(B规则):(1)单房囊肿;(2)存在实性成分,最大实性成分最大直径<7mm;(3)声影;(4)最大直径小于100mm的光滑多房肿瘤;(5)多普勒检查未检测到血流。这十条规则适用于所有肿瘤的76%,其敏感性为93%,特异性为90%,阳性似然比(LR+)为9.45,阴性似然比(LR-)为0.08。前瞻性测试时,这些规则适用于76%(386/507)的肿瘤,其敏感性为95%(106/112),特异性为91%(249/274),LR+为10.37,LR-为0.06。

结论

使用基于超声的简单规则,普通肿瘤人群中的大多数附件肿瘤可正确分类为良性或恶性。对于无法用简单规则分类的肿瘤,由专家进行超声检查可能会有帮助。

相似文献

1
Simple ultrasound-based rules for the diagnosis of ovarian cancer.基于超声的卵巢癌诊断简易规则。
Ultrasound Obstet Gynecol. 2008 Jun;31(6):681-90. doi: 10.1002/uog.5365.
2
Adnexal masses difficult to classify as benign or malignant using subjective assessment of gray-scale and Doppler ultrasound findings: logistic regression models do not help.附件肿块使用灰阶和多普勒超声检查结果的主观评估难以明确良恶性:逻辑回归模型无助于诊断。
Ultrasound Obstet Gynecol. 2011 Oct;38(4):456-65. doi: 10.1002/uog.9030. Epub 2011 Sep 13.
3
Predicting the risk of malignancy in adnexal masses based on the Simple Rules from the International Ovarian Tumor Analysis group.基于国际卵巢肿瘤分析小组的简单规则预测附件包块的恶性风险。
Am J Obstet Gynecol. 2016 Apr;214(4):424-437. doi: 10.1016/j.ajog.2016.01.007. Epub 2016 Jan 19.
4
Clinical and ultrasound characteristics of surgically removed adnexal lesions with largest diameter ≤ 2.5 cm: a pictorial essay.最大直径≤2.5cm 附件病变的临床和超声特征:图像研究。
Ultrasound Obstet Gynecol. 2017 Nov;50(5):648-656. doi: 10.1002/uog.17392.
5
Gray scale sonography, subjective evaluation of the color Doppler image and measurement of blood flow velocity for distinguishing benign and malignant tumors of suspected adnexal origin.灰阶超声检查、彩色多普勒图像的主观评估以及血流速度测量,用于鉴别疑似附件来源的良恶性肿瘤。
Eur J Obstet Gynecol Reprod Biol. 1997 Mar;72(1):63-72. doi: 10.1016/s0301-2115(96)02661-9.
6
Intravenous contrast ultrasound examination using contrast-tuned imaging (CnTI) and the contrast medium SonoVue for discrimination between benign and malignant adnexal masses with solid components.采用对比调制显像(CnTI)技术和超声造影剂声诺维对附件区实性肿块进行静脉造影超声检查,以鉴别良恶性。
Ultrasound Obstet Gynecol. 2009 Dec;34(6):699-710. doi: 10.1002/uog.7464.
7
Which extrauterine pelvic masses are difficult to correctly classify as benign or malignant on the basis of ultrasound findings and is there a way of making a correct diagnosis?哪些宫外盆腔肿块难以根据超声检查结果正确分类为良性或恶性,是否有做出正确诊断的方法?
Ultrasound Obstet Gynecol. 2006 Apr;27(4):438-44. doi: 10.1002/uog.2707.
8
Differences in ultrasound features of papillations in unilocular-solid adnexal cysts: a retrospective international multicenter study.单侧囊实性附件囊肿乳头状突起的超声特征差异:一项回顾性国际多中心研究。
Ultrasound Obstet Gynecol. 2018 Aug;52(2):269-278. doi: 10.1002/uog.18951.
9
Lesion size affects diagnostic performance of IOTA logistic regression models, IOTA simple rules and risk of malignancy index in discriminating between benign and malignant adnexal masses.病灶大小影响 IOTA 逻辑回归模型、IOTA 简单规则和恶性风险指数在鉴别附件包块良恶性方面的诊断性能。
Ultrasound Obstet Gynecol. 2012 Sep;40(3):345-54. doi: 10.1002/uog.11167. Epub 2012 Aug 7.
10
Diagnostic accuracy of transvaginal ultrasound examination for assigning a specific diagnosis to adnexal masses.经阴道超声检查对附件包块进行特定诊断的诊断准确性。
Ultrasound Obstet Gynecol. 2009 Oct;34(4):462-70. doi: 10.1002/uog.6444.

引用本文的文献

1
Development and Validation of KN-DIOC: A Novel Preoperative Diagnostic Index Using Ultrasound, Complete Blood Count, and Cancer Antigen 125 for Ovarian Cancer.KN-DIOC的开发与验证:一种使用超声、全血细胞计数和癌抗原125诊断卵巢癌的新型术前诊断指标
World J Oncol. 2025 Jul 8;16(4):365-374. doi: 10.14740/wjon2595. eCollection 2025 Aug.
2
Unilateral hyperreactio luteinalis of the ovary during pregnancy mimics ovarian malignancy: A case report.妊娠期卵巢单侧黄素化囊肿过度反应酷似卵巢恶性肿瘤:一例报告
Medicine (Baltimore). 2025 Jul 25;104(30):e43590. doi: 10.1097/MD.0000000000043590.
3
O-RADS US versus IOTA simple rules in the diagnosis of benign and malignant adnexal masses: a prospective study.
O-RADS超声与IOTA简单规则在附件肿块良恶性诊断中的应用:一项前瞻性研究
BMC Med Imaging. 2025 Jul 28;25(1):297. doi: 10.1186/s12880-025-01845-4.
4
Giant ovarian cyst in pregnancy: a rare clinical encounter and its implications: a case report.妊娠合并巨大卵巢囊肿:罕见的临床病例及其影响:一例报告
J Surg Case Rep. 2025 Jul 22;2025(7):rjaf557. doi: 10.1093/jscr/rjaf557. eCollection 2025 Jul.
5
Multimodal Deep Learning Based on Ultrasound Images and Clinical Data for Better Ovarian Cancer Diagnosis.基于超声图像和临床数据的多模态深度学习用于更好地诊断卵巢癌。
J Imaging Inform Med. 2025 Jun 24. doi: 10.1007/s10278-025-01566-8.
6
Accurate prediction of benign and malignant adnexal tumors in surgical resection and conservative treatment: construction and external validation of a diagnostic model based on CEUS, HE4, and O-RADS US v2022 evaluation.手术切除和保守治疗中附件良恶性肿瘤的准确预测:基于超声造影、人附睾蛋白4(HE4)和O-RADS US v2022评估的诊断模型构建及外部验证
J Ovarian Res. 2025 Jun 6;18(1):123. doi: 10.1186/s13048-025-01707-1.
7
Comparison of the Diagnostic Performance of Ovarian Adnexal Reporting Data System (O-RADS) With IOTA Simple Rules and ADNEX Model for Classifying Adnexal Masses: A Head-To-Head Meta-Analysis.卵巢附件报告数据系统(O-RADS)与IOTA简单规则及ADNEX模型对附件包块进行分类的诊断性能比较:一项直接对比的Meta分析
J Clin Ultrasound. 2025 Apr 29. doi: 10.1002/jcu.24048.
8
Diagnostic Performance of ADNEX Model and IOTA Simple Rules in Differentiating Malignant from Benign Adnexal Masses When Assessed by Non-Expert Examiners.非专业检查者评估时,ADNEX模型和IOTA简单规则在鉴别附件包块良恶性中的诊断性能
J Clin Med. 2025 Apr 17;14(8):2776. doi: 10.3390/jcm14082776.
9
Laparoscopic treatment of a rare primary peritoneal serous borderline tumor: Case report and narrative review of the literature.腹腔镜治疗罕见的原发性腹膜浆液性交界性肿瘤:病例报告及文献综述
Gynecol Oncol Rep. 2025 Apr 9;59:101742. doi: 10.1016/j.gore.2025.101742. eCollection 2025 Jun.
10
Integrative deep learning and radiomics analysis for ovarian tumor classification and diagnosis: a multicenter large-sample comparative study.用于卵巢肿瘤分类和诊断的整合深度学习与放射组学分析:一项多中心大样本比较研究
Radiol Med. 2025 Apr 1. doi: 10.1007/s11547-025-02006-x.