目的

基于计划-执行-研究-改进（PDSA）循环管理模型，系统评估卵巢附件影像报告与数据系统（O-RADS）在卵巢肿瘤超声诊断中的应用效果及其对质量控制核心指标的优化作用。

方法

回顾性分析2021 年1 月至2024 年12 月重庆市妇幼保健院收治的1790 例卵巢肿瘤患者，按O-RADS 分类实施时间分为基线组（2021 年1 月至2022 年12 月，n=858）与优化组（2023 年1月至2024 年12 月，n=932）。PDSA 循环模型实施：（1）计划，通过基线组数据分析显示传统诊断存在描述性术语差异（28.79%）、关键切面缺失（27.04%）及诊断模糊性（13.98%）三大问题，设定报告标准率、图像完整率及诊断确定性均＞95%为质量改进目标；（2）执行：根据O-RADS 分类标准化术语体系制定图像采集规范及结构化报告模板；（3）研究：对比2 组间报告标准率、图像完整率和诊断确定性等核心指标；（4）改进：通过随访反馈及流程优化持续调整方案。采用χ² 检验分析2 组质量控制指标的差异。

结果

卵巢肿瘤超声诊断规范化及质量控制指标改善明显：优化组卵巢肿瘤超声报告标准率、图像完整率和诊断确定性分别为95.06%，97.5%，95.17%，均达到质量改进目标，相对基线组分别提升23.85%、24.54%和9.15%，差异均具有统计学意义（χ²=185.66、220.79、44.77，P 均＜0.001）。

结论

PDSA 循环管理联合O-RADS 分类的系统性应用显著提升了卵巢肿瘤超声诊断的规范性，验证了该模式在单病种超声质量控制中的标准化价值。

Objective

To assess the clinical utility of the Ovarian-Adnexal Reporting and Data System (O-RADS) in ultrasound diagnosis of ovarian tumors and its impact on core quality metrics using the Plan-Do-Study-Act (PDSA) cycle framework.

Methods

We retrospectively analyzed 1790 ovarian tumor cases from Chongqing Maternal and Child Health Hospital (2021-2024), comparing pre-implementation(2021-2022, n=858) and post-implementation (2023-2024, n=932) cohorts following O-RADS adoption.The PDSA intervention addressed three baseline deficiencies: inconsistent terminology (28.79%),missing key imaging planes (27.04%), and diagnostic uncertainty (13.98%), with targets set for ＞95%achievement in standardization, completeness, and diagnostic clarity.Implementation involved O-RADSaligned terminology, standardized imaging protocols, and structured reporting templates.Post-intervention quality metrics were statistically compared using χ² tests.

Results

Standardized ultrasound diagnosis for ovarian tumors significantly improved quality control metrics, with reporting rates, image completeness,and diagnostic certainty reaching 95.06%, 97.5%, and 95.17%, respectively—all exceeding improvement targets.These values represent statistically significant increases of 23.85%, 24.54%, and 9.15% compared to baseline measurements (χ²=185.66, 220.79, and 44.77, respectively, P＜0.001 for all comparisons).

Conclusion

The systematic application of PDSA cycle management combined with O-RADS classification significantly improves the standardization of ultrasound diagnosis for ovarian tumors, validating the model’s efficacy in single-disease ultrasound quality control.