Observer Performance Using Virtual Pathology Slides: Impact of LCD Color Reproduction Accuracy

Observer Performance Using Virtual Pathology Slides: Impact of LCD Color Reproduction Accuracy
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DOI:
10.1007/s10278-012-9479-1
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发表时间:
2012-12-01
影响因子:
4.4
通讯作者:
Roehrig, Hans
Roehrig, Hans
中科院分区:
工程技术2区
文献类型:
--
作者:
Krupinski, Elizabeth A.;Silverstein, Louis D.;Roehrig, Hans

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随着越来越多的临床专业使用数字图像作为诊断和治疗决策的资源,彩色LCD在医学成像中的使用正在增长。远程医学应用,如远程病理学,远程皮肤病学和远程眼科学严重依赖于彩色图像。然而,不存在用于校准、表征和剖析彩色显示器的标准方法,从而导致不一致的呈现。为了解决这个问题,我们开发了一个校准,表征和分析协议的颜色关键的医学成像应用。使用和不使用该协议校准的显示器的物理表征显示了使用该协议的高颜色再现精度。本研究评估了该方案对观察员表现的影响。一组250个乳腺活检虚拟载玻片感兴趣区域(一半恶性,一半良性)显示给6名病理学家,一次使用校准协议,一次使用相同的显示器在其“原生”现成的未校准状态。测量诊断准确性和做出决定的时间。在ROC性能方面,Az(曲线下面积)校准= 0.8570,Az未校准= 0.8488。未观察到统计学显著差异(p = 0.4112)。在判读速度方面,校准平均值= 4.895 s;未校准平均值= 6.304 s,具有统计学显著性(p = 0.0460)。早期的结果表明,正确校准和颜色管理的显示器在诊断方面具有轻微的优势,在改进工作流程方面具有显著的潜在优势。未来的工作应该使用不同类型的彩色图像进行,这些图像可能更依赖于精确的显色性和具有不同特性的更广泛的LCD。
The use of color LCDs in medical imaging is growing as more clinical specialties use digital images as a resource in diagnosis and treatment decisions. Telemedicine applications such as telepathology, teledermatology, and teleophthalmology rely heavily on color images. However, standard methods for calibrating, characterizing, and profiling color displays do not exist, resulting in inconsistent presentation. To address this, we developed a calibration, characterization, and profiling protocol for color-critical medical imaging applications. Physical characterization of displays calibrated with and without the protocol revealed high color reproduction accuracy with the protocol. The present study assessed the impact of this protocol on observer performance. A set of 250 breast biopsy virtual slide regions of interest (half malignant, half benign) were shown to six pathologists, once using the calibration protocol and once using the same display in its "native" off-the-shelf uncalibrated state. Diagnostic accuracy and time to render a decision were measured. In terms of ROC performance, Az (area under the curve) calibrated = 0.8570 and Az uncalibrated = 0.8488. No statistically significant difference (p = 0.4112) was observed. In terms of interpretation speed, mean calibrated = 4.895 s; mean uncalibrated = 6.304 s which is statistically significant (p = 0.0460). Early results suggest a slight advantage diagnostically for a properly calibrated and color-managed display and a significant potential advantage in terms of improved workflow. Future work should be conducted using different types of color images that may be more dependent on accurate color rendering and a wider range of LCDs with varying characteristics.