在常规临床环境中，对用于癌症患者骨闪烁扫描的计算机辅助诊断系统BONENAVI版本2进行评估。
Evaluation of a computer-assisted diagnosis system, BONENAVI version 2, for bone scintigraphy in cancer patients in a routine clinical setting.
作者信息
Koizumi Mitsuru, Wagatsuma Kei, Miyaji Noriaki, Murata Taisuke, Miwa Kenta, Takiguchi Tomohiro, Makino Tomoko, Koyama Masamichi
机构信息
Department of Nuclear Medicine, Cancer Institute Hospital, 3-8-31 Ariake, Koto-ku, Tokyo, 135-8550, Japan,
出版信息
Ann Nucl Med. 2015 Feb;29(2):138-48. doi: 10.1007/s12149-014-0921-y. Epub 2014 Oct 19.
OBJECTIVE
To evaluate a computer-assisted diagnosis system, BONEVAVI version 2 for bone scintigraphy, this study examined the performance of the software in patients with and without skeletal metastasis.
METHODS
Bone scans of various patients were analyzed by BONENAVI version 2. Patients with skeletal metastasis from prostate cancer, lung cancer, breast cancer, and other cancers were included in the study as true positive cases. Patients with normal bone scans, consecutive patients with several days of no skeletal metastasis (regardless of hot spots), and patients with abnormal bone scans but no skeletal metastasis were included as negative cases. Patient artificial neural network (ANN) values equal to or above 0.5 were regarded as positive, and those below 0.5 as negative. This study also analyzed cases according to primary cancer factors, osseous metastasis type, and bone tumor burden.
RESULTS
The sensitivity of patient ANN values was 121/142 (85 %) for all cancers, 25/29 (86 %) for prostate cancer, 35/40 (88 %) for lung cancer, 37/45 (82 %) for breast cancer, and 24/28 (86 %) for other cancers. The specificity of ANN values was 40/49 (82 %) for normal bone scans, 99/122 (81 %) for consecutive patients with several days of no skeletal metastasis, and 44/81 (54 %) for patients with abnormal bone scans but no skeletal metastasis. Patients showing false negatives included: 10 patients with small lesions (6 of whom showed positive lesion ANN values), 4 patients with osteolytic lesions, 5 patients with intertrabecular osseous metastasis, and 1 patient with a metastatic lesion adjacent to the urinary bladder. The correlation between manually counted lesion numbers and Bone Scan Index was excellent for prostate cancer, and was good for lung cancer, breast cancer, and other cancers.
CONCLUSION
BONENAVI version 2 is an effective computer-assisted diagnosis system for bone scanning, but the drawbacks of bone scanning remain unresolved.
目的
为评估骨闪烁扫描的计算机辅助诊断系统BONEVAVI版本2，本研究检测了该软件在有和无骨转移患者中的性能。
方法
使用BONENAVI版本2分析不同患者的骨扫描。前列腺癌、肺癌、乳腺癌及其他癌症的骨转移患者被纳入研究作为真阳性病例。骨扫描正常的患者、连续数天无骨转移（无论有无热点）的患者以及骨扫描异常但无骨转移的患者被纳入作为阴性病例。患者人工神经网络（ANN）值等于或高于0.5被视为阳性，低于0.5被视为阴性。本研究还根据原发癌因素、骨转移类型和骨肿瘤负荷分析病例。
结果
所有癌症患者ANN值的敏感性为121/142（85%），前列腺癌为25/29（86%），肺癌为35/40（88%），乳腺癌为37/45（82%），其他癌症为24/28（86%）。ANN值的特异性在骨扫描正常的患者中为40/49（82%），连续数天无骨转移的患者中为99/122（81%），骨扫描异常但无骨转移的患者中为44/81（54%）。出现假阴性的患者包括：10例小病灶患者（其中6例病灶ANN值为阳性）、4例溶骨性病灶患者、5例骨小梁间骨转移患者和1例膀胱旁转移病灶患者。手动计数的病灶数量与骨扫描指数之间的相关性在前列腺癌中极佳，在肺癌、乳腺癌和其他癌症中良好。
结论
BONENAVI版本2是一种有效的骨扫描计算机辅助诊断系统，但骨扫描的缺点仍未解决。
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