Xing Yue, Ding Defang, Dai Shun, Hu Yangfan, Liu Xianwei, Lyu Liangjing, Zhang Guangcheng, Mao Shiqi, Yin Qian, Lu Junjie, Yang Jiarui, Song Yang, Zhang Huan, Li Chengzhou, Yao Weiwu, Zhong Jingyu
Department of Imaging, Tongren Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Shanghai Key Laboratory of Flexible Medical Robotics, Tongren Hospital, Institute of Medical Robotics, Shanghai Jiao Tong University, Shanghai, China.
Insights Imaging. 2025 Aug 12;16(1):174. doi: 10.1186/s13244-025-02057-8.
To evaluate the reproducibility and effectiveness of the bone reporting and data system on CT (Bone-RADS-CT) for incidental solitary bone lesions in adults.
We retrospectively included 328 CT cases from three local and two public databases, respectively. All the cases were histopathologically or clinically confirmed bone lesions, "do not touch" lesions with typical appearance, and remained stable for at least 2 years. Each lesion with gender, age, and clinical history was categorized according to the Bone-RADS algorithm by two musculoskeletal radiologists and two non-musculoskeletal radiologists. The Bone-RADS categories were as follows: Bone-RADS-1, likely benign, leave alone; Bone-RADS-2, incomplete assessed on imaging, perform different imaging modality; Bone-RADS-3, intermediate, perform follow-up imaging; Bone-RADS-4, suspicious for malignancy or need for treatment, biopsy and/or oncologic referral. Inter-reader agreement was evaluated. The diagnostic performance of the Bone-RADS-CT for distinguishing positive cases (intermediate or malignant lesions or osteomyelitis) from negative cases (benign lesions), were measured, using histopathology results, clinical diagnosis, or follow-up as a standard reference.
There were 223 positive cases and 105 negative cases, respectively. The overall inter-reader agreement between two musculoskeletal and two non-musculoskeletal radiologists were both moderate (weighted kappa 0.553 and 0.403). The diagnostic performance for identifying intermediate or malignant lesions or osteomyelitis ranged according to radiologists with sensitivities of 88.8% to 94.6%, specificities of 42.9% to 71.1%, and accuracies of 78.0% to 86.6%.
Bone-RADS-CT is effective for identifying bone lesions that need further treatment, but is only moderately reliable for readers of different specialties and experience.
Bone-RADS-CT has been demonstrated to be a reliable algorithm for non-musculoskeletal radiologists and an effective tool for identifying the "need for treatment" incidental solitary bone lesions in adults, but still needs improvement in the rating method and category definition.
Bone-RADS-CT has been demonstrated to be reliable and accurate when rated by musculoskeletal radiologists. Bone-RADS-CT achieved moderate agreement for musculoskeletal and non-musculoskeletal radiologists. Bone-RADS-CT presented high sensitivities but low specificities for identifying "need for treatment" bone lesions.
评估成人偶然发现的孤立性骨病变的CT骨报告和数据系统(Bone-RADS-CT)的可重复性和有效性。
我们分别从三个本地数据库和两个公共数据库中回顾性纳入了328例CT病例。所有病例均经组织病理学或临床确诊为骨病变,具有典型外观的“无需处理”病变,且至少2年保持稳定。由两名肌肉骨骼放射科医生和两名非肌肉骨骼放射科医生根据Bone-RADS算法对每个具有性别、年龄和临床病史的病变进行分类。Bone-RADS分类如下:Bone-RADS-1,可能为良性,无需处理;Bone-RADS-2,影像学评估不完整,进行不同的成像检查;Bone-RADS-3,中等程度,进行随访成像;Bone-RADS-4,怀疑恶性或需要治疗,进行活检和/或肿瘤学转诊。评估了阅片者之间的一致性。以组织病理学结果、临床诊断或随访作为标准参考,测量Bone-RADS-CT区分阳性病例(中等程度或恶性病变或骨髓炎)和阴性病例(良性病变)的诊断性能。
分别有223例阳性病例和105例阴性病例。两名肌肉骨骼放射科医生和两名非肌肉骨骼放射科医生之间的总体阅片者一致性均为中等(加权kappa分别为0.553和0.403)。根据放射科医生的不同,识别中等程度或恶性病变或骨髓炎的诊断性能范围为:敏感性为88.8%至94.6%,特异性为42.9%至71.1%,准确性为78.0%至86.6%。
Bone-RADS-CT对于识别需要进一步治疗的骨病变有效,但对于不同专业和经验的阅片者而言,可靠性仅为中等。
Bone-RADS-CT已被证明是一种对非肌肉骨骼放射科医生可靠的算法,是识别成人偶然发现的孤立性骨病变“治疗需求”的有效工具,但在评级方法和类别定义方面仍需改进。
由肌肉骨骼放射科医生进行评级时,Bone-RADS-CT已被证明是可靠且准确的。Bone-RADS-CT在肌肉骨骼和非肌肉骨骼放射科医生之间达成了中等程度的一致性。Bone-RADS-CT在识别“需要治疗”的骨病变方面具有高敏感性但低特异性。