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计算机辅助诊断系统对前列腺癌患者新发骨转移骨闪烁显像的诊断性能:寻找低敏感性亚组

Diagnostic performance of a computer-assisted diagnosis system for bone scintigraphy of newly developed skeletal metastasis in prostate cancer patients: search for low-sensitivity subgroups.

作者信息

Koizumi Mitsuru, Motegi Kazuki, Koyama Masamichi, Terauchi Takashi, Yuasa Takeshi, Yonese Junji

机构信息

Department of Nuclear Medicine, Cancer Institute Hospital, 3-8-31 Ariake, Koto-ku, Tokyo, 135-8550, Japan.

Department of Urology, Cancer Institute Hospital, Tokyo, Japan.

出版信息

Ann Nucl Med. 2017 Aug;31(7):521-528. doi: 10.1007/s12149-017-1175-2. Epub 2017 Apr 29.

DOI:10.1007/s12149-017-1175-2
PMID:28456877
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5517559/
Abstract

PURPOSE

The computer-assisted diagnostic system for bone scintigraphy (BS) BONENAVI is used to evaluate skeletal metastasis. We investigated its diagnostic performance in prostate cancer patients with and without skeletal metastasis and searched for the problems.

METHODS

An artificial neural network (ANN) value was calculated in 226 prostate cancer patients (124 with skeletal metastasis and 101 without) using BS. Receiver operating characteristic curve analysis was performed and the sensitivity and specificity determined (cutoff ANN = 0.5). Patient's situation at the time of diagnosis of skeletal metastasis, computed tomography (CT) type, extent of disease (EOD), and BS uptake grade were analyzed. False-negative and false-positive results were recorded.

RESULTS

BONENAVI showed 82% (102/124) of sensitivity and 83% (84/101) specificity for metastasis detection. There were no significant differences among CT types, although low EOD and faint BS uptake were associated with low ANN values and low sensitivity. Patients showed lower sensitivity during the follow-up period than staging work-up. False-negative lesions were often located in the pelvis or adjacent to it. They comprised not only solitary, faint BS lesions but also overlaying to urinary excretion.

CONCLUSIONS

BONENAVI with BS has good sensitivity and specificity for detecting prostate cancer's osseous metastasis. Low EOD and faint BS uptake are associated with low sensitivity but not the CT type. Prostate cancer patients likely to have false-negative results during the follow-up period had a solitary lesion in the pelvis with faint BS uptake or lesions overlaying to urinary excretion.

摘要

目的

骨闪烁扫描(BS)计算机辅助诊断系统BONENAVI用于评估骨转移。我们研究了其在有或无骨转移的前列腺癌患者中的诊断性能,并寻找存在的问题。

方法

对226例前列腺癌患者(124例有骨转移,101例无骨转移)进行BS检查,计算人工神经网络(ANN)值。绘制受试者工作特征曲线并分析,确定敏感性和特异性(截断ANN = 0.5)。分析骨转移诊断时患者的情况、计算机断层扫描(CT)类型、疾病范围(EOD)和BS摄取等级。记录假阴性和假阳性结果。

结果

BONENAVI检测转移的敏感性为82%(102/124),特异性为83%(84/101)。CT类型之间无显著差异,尽管低EOD和微弱的BS摄取与低ANN值和低敏感性相关。患者在随访期间的敏感性低于分期检查。假阴性病变常位于骨盆或其附近。它们不仅包括孤立的、微弱的BS病变,还包括叠加在尿液排泄上的病变。

结论

BONENAVI联合BS对检测前列腺癌骨转移具有良好的敏感性和特异性。低EOD和微弱的BS摄取与低敏感性相关,但与CT类型无关。随访期间可能出现假阴性结果的前列腺癌患者在骨盆有孤立性病变,BS摄取微弱或病变叠加在尿液排泄上。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/de44/5517559/df118a1a8c6c/12149_2017_1175_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/de44/5517559/1073e457ee30/12149_2017_1175_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/de44/5517559/6b059092f713/12149_2017_1175_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/de44/5517559/df118a1a8c6c/12149_2017_1175_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/de44/5517559/1073e457ee30/12149_2017_1175_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/de44/5517559/6b059092f713/12149_2017_1175_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/de44/5517559/df118a1a8c6c/12149_2017_1175_Fig3_HTML.jpg

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本文引用的文献

1
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2
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Ann Nucl Med. 2015 Oct;29(8):659-65. doi: 10.1007/s12149-015-0988-0. Epub 2015 Jun 2.
3
Cancer statistics, 2015.
人工智能在医学放射成像中检测肿瘤转移的性能:一项系统综述和荟萃分析。
EClinicalMedicine. 2020 Dec 25;31:100669. doi: 10.1016/j.eclinm.2020.100669. eCollection 2021 Jan.
4
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5
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Eur J Nucl Med Mol Imaging. 2019 Jul;46(8):1672-1677. doi: 10.1007/s00259-019-04329-0. Epub 2019 May 1.
6
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Ann Nucl Med. 2019 Jul;33(7):502-511. doi: 10.1007/s12149-019-01359-4. Epub 2019 Apr 13.
7
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Eur J Nucl Med Mol Imaging. 2019 Jan;46(1):217-223. doi: 10.1007/s00259-018-4169-y. Epub 2018 Sep 28.
8
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J Int Med Res. 2018 Aug;46(8):3262-3267. doi: 10.1177/0300060518770958. Epub 2018 Apr 24.
9
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Ann Nucl Med. 2018 Feb;32(2):105-113. doi: 10.1007/s12149-017-1224-x. Epub 2017 Dec 14.
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CA Cancer J Clin. 2015 Jan-Feb;65(1):5-29. doi: 10.3322/caac.21254. Epub 2015 Jan 5.
4
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Ann Nucl Med. 2015 Feb;29(2):138-48. doi: 10.1007/s12149-014-0921-y. Epub 2014 Oct 19.
5
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EJNMMI Res. 2013 Dec 26;3(1):83. doi: 10.1186/2191-219X-3-83.
6
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BJU Int. 2012 Dec;110(11 Pt B):E628-34. doi: 10.1111/j.1464-410X.2012.11355.x. Epub 2012 Jul 12.
7
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Ann Nucl Med. 2012 Oct;26(8):622-6. doi: 10.1007/s12149-012-0620-5. Epub 2012 Jun 24.
8
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J Clin Oncol. 2012 Feb 10;30(5):519-24. doi: 10.1200/JCO.2011.36.5791. Epub 2012 Jan 9.
9
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Lancet. 2011 Mar 5;377(9768):813-22. doi: 10.1016/S0140-6736(10)62344-6. Epub 2011 Feb 25.
10
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J Nucl Med. 2008 Dec;49(12):1958-65. doi: 10.2967/jnumed.108.055061. Epub 2008 Nov 7.