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计算机辅助检测无定形钙化。

Computer-aided detection of amorphous calcifications.

作者信息

Soo Mary Scott, Rosen Eric L, Xia Jessie Q, Ghate Sujata, Baker Jay A

机构信息

Department of Radiology, Duke University Medical Center, Box 3808, DUMC, 2nd Fl., Red Zone, South Hospital, Durham, NC 27710, USA.

出版信息

AJR Am J Roentgenol. 2005 Mar;184(3):887-92. doi: 10.2214/ajr.184.3.01840887.

Abstract

OBJECTIVE

Computer-aided detection (CAD) systems have been used successfully to detect malignant calcifications on mammography, with sensitivities ranging from 86% to 99%. Amorphous calcifications are a subset of small indistinct calcifications of intermediate concern that have a 20% likelihood of being malignant and that are frequently overlooked on mammography. The purpose of our study was to determine the sensitivity of one commercially available CAD system for detecting amorphous calcifications.

MATERIALS AND METHODS

A commercially available CAD system evaluated mammograms of 82 patients with 85 mammographically detected and histologically sampled groups of amorphous calcifications (21 malignant, 14 high risk, and 50 benign). The sensitivity of the system for detecting the calcifications on at least one image of the two-view mammographic examination (case sensitivity) and on each individual mammographic image (image sensitivity) was determined. Findings were correlated with results from large core needle biopsy or surgical excision in each case.

RESULTS

The CAD system detected amorphous calcifications in 43 of 85 cases (case sensitivity, 51%) and in 59 of 146 mammographic images (image sensitivity, 40%). The case sensitivities by histologic outcome were 57% for malignant calcifications, 29% for high-risk calcifications, and 54% for benign calcifications. An average of 2.0 false-positive marks were displayed per case.

CONCLUSION

The CAD sensitivity for malignant amorphous calcifications is markedly lower than previously reported for all malignant calcifications. Breast imaging radiologists who use CAD systems should continue to search diligently for these difficult-to-detect lesions.

摘要

目的

计算机辅助检测(CAD)系统已成功用于在乳腺钼靶检查中检测恶性钙化,其灵敏度范围为86%至99%。无定形钙化是一类中等可疑程度的小而模糊的钙化,有20%的可能性为恶性,在乳腺钼靶检查中常被忽视。我们研究的目的是确定一种市售CAD系统检测无定形钙化的灵敏度。

材料与方法

一种市售CAD系统对82例患者的乳腺钼靶图像进行了评估,这些患者有85组经乳腺钼靶检测并经组织学取样的无定形钙化(21例恶性、14例高危和50例良性)。确定该系统在双视图乳腺钼靶检查的至少一幅图像上检测钙化的灵敏度(病例灵敏度)以及在每幅乳腺钼靶图像上检测钙化的灵敏度(图像灵敏度)。将结果与每例患者的粗针穿刺活检或手术切除结果进行关联。

结果

CAD系统在85例中的43例检测到了无定形钙化(病例灵敏度为51%),在146幅乳腺钼靶图像中的59幅检测到了无定形钙化(图像灵敏度为40%)。按组织学结果分类的病例灵敏度为:恶性钙化为57%,高危钙化为29%,良性钙化为54%。每例平均显示2.0个假阳性标记。

结论

CAD对恶性无定形钙化的灵敏度明显低于先前报道的所有恶性钙化的灵敏度。使用CAD系统的乳腺影像放射科医生应继续勤勉地寻找这些难以检测的病变。

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