Department of Radiology, Jinan Central Hospital, Shandong First Medical University, Jinan, China.
Department of Oncology, Jinan Central Hospital, Shandong First Medical University, Jinan, China.
BMC Med Imaging. 2024 Oct 18;24(1):280. doi: 10.1186/s12880-024-01460-9.
The objective of this study was to evaluate the feasibility of using Artificial Intelligence (AI) to measure the long-diameter of tumors for evaluating treatment response.
Our study included 48 patients with lung-specific target lesions and conducted 277 measurements. The radiologists recorded the long-diameter in axial imaging plane of the target lesions for each measurement. Meanwhile, AI software was utilized to measure the long-diameter in both the axial imaging plane and in three dimensions (3D). Statistical analyses including the Bland-Altman plot, Spearman correlation analysis, and paired t-test to ascertain the accuracy and reliability of our findings.
The Bland-Altman plot showed that the AI measurements had a bias of -0.28 mm and had limits of agreement ranging from - 13.78 to 13.22 mm (P = 0.497), indicating agreement with the manual measurements. However, there was no agreement between the 3D measurements and the manual measurements, with P < 0.001. The paired t-test revealed no statistically significant difference between the manual measurements and AI measurements (P = 0.497), whereas a statistically significant difference was observed between the manual measurements and 3D measurements (P < 0.001).
The application of AI in measuring the long-diameter of tumors had significantly improved efficiency and reduced the incidence of subjective measurement errors. This advancement facilitated more convenient and accurate tumor response evaluation.
本研究旨在评估人工智能（AI）测量肿瘤长径以评估治疗反应的可行性。
我们的研究纳入了 48 例具有肺部靶病灶的患者，共进行了 277 次测量。放射科医生记录了每个靶病灶轴向成像平面上的长径。同时，使用 AI 软件测量了目标病灶的轴向成像平面和三维（3D）长径。采用 Bland-Altman 图、Spearman 相关分析和配对 t 检验进行统计分析，以确定我们研究结果的准确性和可靠性。
Bland-Altman 图显示，AI 测量存在 -0.28mm 的偏差，其一致性界限范围为 -13.78 至 13.22mm（P=0.497），表明与手动测量具有一致性。然而，3D 测量与手动测量之间没有一致性，P<0.001。配对 t 检验显示，手动测量与 AI 测量之间无统计学差异（P=0.497），而手动测量与 3D 测量之间存在统计学差异（P<0.001）。
AI 在测量肿瘤长径方面的应用显著提高了效率，减少了主观测量误差的发生。这一进步使得肿瘤反应评估更加方便和准确。
