The Ovarian-Adnexal Reporting and Data System (O-RADS) US Score Effect on Surgical Resection Rate.

IF 12.1 1区 医学 Q1 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING
Radiology Pub Date : 2024-10-01 DOI:10.1148/radiol.240044
Luyao Shen,Elizabeth A Sadowski,Akshya Gupta,Katherine E Maturen,Krupa K Patel-Lippmann,Hanna M Zafar,Aya Kamaya,Neha Antil,Yang Guo,Lisa M Barroilhet,Priyanka Jha
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引用次数: 0

Abstract

Background The Ovarian-Adnexal Imaging Reporting and Data System (O-RADS) US risk score can be used to accurately stratify ovarian lesions based on morphologic characteristics. However, there are no large multicenter studies assessing the potential impact of using O-RADS US version 2022 risk score in patients referred for surgery for an ovarian or adnexal lesion. Purpose To retrospectively determine the proportion of patients with ovarian or adnexal lesions without acute symptoms who may have been managed conservatively by using the O-RADS US version 2022 risk score. Materials and Methods This multicenter retrospective study included patients with ovarian cystic lesions and nonacute symptoms who underwent surgical resection after US before the introduction of O-RADS US between January 2011 and December 2014. Investigators blinded to the final diagnoses recorded lesion imaging features and O-RADS US risk scores. The frequency of malignancy and the diagnostic performance of the risk score were calculated. The Mann-Whitney test and Fisher exact test were performed, with P < .05 indicating a statistically significant difference. Results A total of 377 patients with surgically resected lesions were included. Among the resected lesions, 42% (157 of 377) were assigned an O-RADS US risk score of 2. Of the O-RADS US 2 lesions, 54% (86 of 157) were nonneoplastic, 45% (70 of 157) were dermoids or other benign tumors, and less than 1% (one of 157) were malignant. Using O-RADS US 4 as the optimal threshold for malignancy prediction yielded a 94% (68 of 72) sensitivity, 64% (195 of 305) specificity, 38% (68 of 178) positive predictive value, and 98% (195 of 199) negative predictive value. Conclusion In patients without acute symptoms who underwent surgery for ovarian and adnexal lesions before the O-RADS US risk score was published, nearly half (42%) of surgically resected lesions retrospectively met the O-RADS US 2 version 2022 criteria. In these patients, imaging follow-up or conservative management could have been offered. © RSNA, 2024 Supplemental material is available for this article. See also the editorial by Fournier in this issue.
卵巢-附件报告和数据系统 (O-RADS) US 评分对手术切除率的影响。
背景 卵巢-附件成像报告和数据系统(O-RADS)US 风险评分可用于根据形态学特征对卵巢病变进行准确分层。然而,目前还没有大型多中心研究评估在因卵巢或附件病变转诊手术的患者中使用 O-RADS US 版本 2022 风险评分的潜在影响。目的 回顾性确定无急性症状的卵巢或附件病变患者中使用 O-RADS US 版本 2022 风险评分进行保守治疗的比例。材料与方法 这项多中心回顾性研究纳入了 2011 年 1 月至 2014 年 12 月期间,在 O-RADS US 推出之前接受 US 手术切除的卵巢囊肿病变且无急性症状的患者。对最终诊断结果保密的研究人员记录了病变成像特征和 O-RADS US 风险评分。计算了恶性肿瘤的发生频率和风险评分的诊断性能。采用曼-惠特尼检验和费雪精确检验,P < .05 表示差异有统计学意义。结果 共纳入 377 例手术切除病灶的患者。在切除的病灶中,42%(377 例中的 157 例)的 O-RADS US 风险评分为 2 分。在 O-RADS US 2 分的病灶中,54%(157 例中的 86 例)为非肿瘤,45%(157 例中的 70 例)为皮赘或其他良性肿瘤,不到 1%(157 例中的 1 例)为恶性肿瘤。以 O-RADS US 4 作为恶性肿瘤预测的最佳阈值,敏感性为 94%(72 例中的 68 例),特异性为 64%(305 例中的 195 例),阳性预测值为 38%(178 例中的 68 例),阴性预测值为 98%(199 例中的 195 例)。结论 在 O-RADS US 风险评分公布前接受卵巢和附件病变手术的无急性症状患者中,近一半(42%)的手术切除病灶回顾性符合 O-RADS US 2 2022 版标准。对于这些患者,可以进行影像学随访或保守治疗。©RSNA,2024 这篇文章有补充材料。另请参阅本期 Fournier 的社论。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Radiology
Radiology 医学-核医学
CiteScore
35.20
自引率
3.00%
发文量
596
审稿时长
3.6 months
期刊介绍: Published regularly since 1923 by the Radiological Society of North America (RSNA), Radiology has long been recognized as the authoritative reference for the most current, clinically relevant and highest quality research in the field of radiology. Each month the journal publishes approximately 240 pages of peer-reviewed original research, authoritative reviews, well-balanced commentary on significant articles, and expert opinion on new techniques and technologies. Radiology publishes cutting edge and impactful imaging research articles in radiology and medical imaging in order to help improve human health.
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