Park Sun-Young, Yoon Min A, Lee Min Hee, Lee Sang Hoon, Chung Hye Won
Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, 88 Olympic-ro 43-gil, Songpa-gu, Seoul 05505, Republic of Korea.
Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, 88 Olympic-ro 43-gil, Songpa-gu, Seoul 05505, Republic of Korea.
Eur J Radiol. 2025 Feb;183:111861. doi: 10.1016/j.ejrad.2024.111861. Epub 2024 Nov 28.
To evaluate the diagnostic performance of the American College of Radiology(ACR) Bone Reporting and Data System (Bone-RADS) in diagnosis of malignant tumors of the appendicular bone on conventional radiographs.
Primary and secondary tumors of appendicular bone in patients who underwent radiographic and MRI examinations were classified into benign, intermediate, and malignant using a reference standard of histopathology, imaging follow-up, or clinical-radiologic consensus. Two radiologists assessed five radiographic features (margin, periosteal reaction, endosteal erosion, pathologic fracture, and extra-osseous mass), scored point total (points from radiographic features and a history of cancer), and assigned Bone-RADS categories. The diagnostic performance of Bone-RADS and interreader agreements were calculated.
A total of 778 patients (507 benign, 45 intermediate, and 226 malignant tumors) were included. Bone-RADS showed high discrimination performance, with areas under the receiver-operating characteristics curve of 0.940-0.957 for point total and 0.895-0.900 for categorization. Bone-RADS had high sensitivity (95.2 %-99.1 %) and negative predictive value (NPV) (96.4 %-99.5 %), but relatively low specificity (65.0 %-68.6 %) and positive predictive value (PPV) (53.7 %-61.9 %). Interreader agreements were good to excellent for Bone-RADS point total (ICC = 0.850), categorization (k = 0.739), and most of the radiographic features (k = 0.621-0.822), except for endosteal erosion (k = 0.537) and extra-osseous mass (k = 0.234).
In diagnosis of malignant bone tumors, ACR Bone-RADS showed high discrimination performance, with high sensitivity and NPV, but relatively low specificity and PPV. Nevertheless, relatively low interobserver agreement in some radiographic features and the consensus-based points system in Bone-RADS warrant further research and possible updates.
评估美国放射学会(ACR)骨报告与数据系统(Bone-RADS)在传统X线片上诊断四肢骨恶性肿瘤的诊断性能。
对接受X线和MRI检查的患者的四肢骨原发性和继发性肿瘤,采用组织病理学、影像随访或临床-放射学共识的参考标准,分为良性、中间型和恶性。两名放射科医生评估了五个X线特征(边缘、骨膜反应、骨内膜侵蚀、病理性骨折和骨外肿块)、总评分(来自X线特征和癌症病史的分数),并指定Bone-RADS类别。计算了Bone-RADS的诊断性能和阅片者间的一致性。
共纳入778例患者(507例良性、45例中间型和226例恶性肿瘤)。Bone-RADS显示出较高的鉴别性能,总评分的受试者操作特征曲线下面积为0.940-0.957,分类的曲线下面积为0.895-0.900。Bone-RADS具有较高的敏感性(95.2%-99.1%)和阴性预测值(NPV)(96.4%-99.5%),但特异性(65.0%-68.6%)和阳性预测值(PPV)(53.7%-61.9%)相对较低。阅片者间对Bone-RADS总评分(ICC=0.850)、分类(k=0.739)和大多数X线特征(k=0.621-0.822)的一致性良好至优秀,除了骨内膜侵蚀(k=0.537)和骨外肿块(k=0.234)。
在恶性骨肿瘤的诊断中,ACR Bone-RADS显示出较高的鉴别性能,具有较高的敏感性和NPV,但特异性和PPV相对较低。然而,一些X线特征的观察者间一致性相对较低以及Bone-RADS中基于共识的评分系统值得进一步研究和可能的更新。