Dual-energy CT virtual non-calcium imaging for differentiating pathologic from non-pathologic femoral fractures: a study of inexperienced non-radiologist readers.

IF 2.5 3区 医学 Q2 ORTHOPEDICS
Hee Young Lee, Ji Young Jeon
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引用次数: 0

Abstract

Objective: To assess the effect of dual-energy CT (DECT) virtual non-calcium (VNCa) imaging on the ability of inexperienced non-radiologist readers to differentiate pathologic from non-pathologic femoral fractures.

Materials and methods: In this retrospective diagnostic accuracy study, 45 eligible emergency department patients with femoral fractures who underwent DECT between January 2022 and September 2024 were included, comprising 20 patients with pathologic fractures and 25 with non-pathologic fractures. The reference standard for fracture classification was established using surgical records or histopathologic results. Two inexperienced non-radiologist readers independently evaluated conventional CT alone and conventional CT combined with color-coded DECT VNCa images in separate reading sessions. Sensitivity, specificity, accuracy, and area under the receiver operating characteristic curve (AUC) were compared between the two sessions. AUCs were compared using the paired DeLong test.

Results: The addition of DECT VNCa significantly improved sensitivity for detecting pathologic fractures in both readers. For Reader 1, sensitivity increased from 65 to 95% (p = 0.031), and accuracy increased from 77.8% to 95.6%. For Reader 2, sensitivity increased from 50 to 85% (p = 0.016), and accuracy increased from 68.9% to 91.1%. Specificity remained high without significant differences between sessions. AUC increased from 0.765 (95% CI, 0.617-0.913) to 0.955 (95% CI, 0.883-1.0) for Reader 1 and from 0.670 (95% CI, 0.506-0.834) to 0.905 (95% CI, 0.802-1.0) for Reader 2 (p = 0.0135 and < 0.01, respectively).

Conclusion: Adding color-coded DECT VNCa to conventional CT improves the diagnostic performance of inexperienced non-radiologist readers in detecting pathologic femoral fractures.

双能CT虚拟无钙成像鉴别病理性与非病理性股骨骨折:一项无经验的非放射科医师读者的研究。
目的:评价双能CT (DECT)虚拟无钙成像(VNCa)对无经验的非放射科医师读者鉴别病理性与非病理性股骨骨折能力的影响。材料和方法:在这项回顾性诊断准确性研究中,纳入了45例符合条件的急诊科股骨骨折患者,于2022年1月至2024年9月期间接受了DECT治疗,其中病理性骨折20例,非病理性骨折25例。根据手术记录或组织病理学结果建立骨折分型的参考标准。两名没有经验的非放射科医生阅读者分别在不同的阅读者中单独评估常规CT和常规CT结合彩色编码DECT VNCa图像。比较两期的灵敏度、特异度、准确度和受试者工作特征曲线下面积。auc采用配对DeLong检验进行比较。结果:DECT VNCa的加入显著提高了两种读卡器检测病理性骨折的灵敏度。对于Reader 1,灵敏度从65%提高到95% (p = 0.031),准确度从77.8%提高到95.6%。对于Reader 2,灵敏度从50%提高到85% (p = 0.016),准确度从68.9%提高到91.1%。特异性仍然很高,每次治疗之间没有显著差异。Reader 1的AUC从0.765 (95% CI, 0.617-0.913)增加到0.955 (95% CI, 0.883-1.0), Reader 2的AUC从0.670 (95% CI, 0.506-0.834)增加到0.905 (95% CI, 0.802-1.0) (p = 0.0135)。结论:在常规CT上添加彩色编码DECT VNCa提高了经验不足的非放射科Reader在检测病理性股骨骨折方面的诊断性能。
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来源期刊
Skeletal Radiology
Skeletal Radiology 医学-核医学
CiteScore
4.40
自引率
9.50%
发文量
253
审稿时长
3-8 weeks
期刊介绍: Skeletal Radiology provides a forum for the dissemination of current knowledge and information dealing with disorders of the musculoskeletal system including the spine. While emphasizing the radiological aspects of the many varied skeletal abnormalities, the journal also adopts an interdisciplinary approach, reflecting the membership of the International Skeletal Society. Thus, the anatomical, pathological, physiological, clinical, metabolic and epidemiological aspects of the many entities affecting the skeleton receive appropriate consideration. This is the Journal of the International Skeletal Society and the Official Journal of the Society of Skeletal Radiology and the Australasian Musculoskelelal Imaging Group.
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