Automated Decision Support for Bone Scintigraphy

被引：0
|
作者：
Ohlsson, Mattias [1 ]
Sjostrand, Karl [2 ]
Richter, Jens [2 ]
Kaboteh, Reza [3 ]
Sadik, May [3 ]
Edenbrandt, Lars [4 ]
机构：
[1] Lund Univ, Dept Theoret Phys, Solvegatan 14A, S-22362 Lund, Sweden
[2] EXINI Diagnost AB, Lund, Sweden
[3] Sahlgrens Univ Hosp, Dept Mol & Clin Med Clin Physiol, Gothenburg, Sweden
[4] Lund Univ, Dept Clin Sci, Malmo, Sweden
来源：
2009 22ND IEEE INTERNATIONAL SYMPOSIUM ON COMPUTER-BASED MEDICAL SYSTEMS | 2009年
关键词：
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
A quantitative analysis of metastatic bone involvement can be an important prognostic indicator of survival or a tool in monitoring treatment response in patients with cancer The purpose of this study was to develop a completely automated decision support system for whole-body bone scans using image analysis and artificial neural networks. The study population consisted of 795 whole-body bone scans. The decision support system first detects and classifies individual hotspots as being metastatic or not. A second prediction model then classifies the scan regarding metastatic disease on a patient level. The test set sensitivity and specificity was 95% and 64% respectively, corresponding to 95% area under the receiver operating characteristics curve.
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页码：298 / +
页数：2
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