ACCURACY OF PATIENTS AGE ASSESSMENT FROM FRONTAL CHEST RADIOGRAPHS

M. Hameed, S.Mahar, B.Das, A.R.Khumaini, A.Ullah, M.Jamil
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Abstract

Background: Chest radiograph interpretation can be aided by knowing the patient'sage. Patients’ age is often assessed by radiologists from costal cartilage calcification assessment ofchest radiographs with anteroposterior views. Objectives: Therefore, we performed this research todetermine the precision of these radiologists in age estimation from CXRs. Methods: Ten radiologyexperts were selected to evaluate 3500 chest digital radiography with posterior-anterior images, inNational Institute of Child Health Karachi/JSMU from January 2022 to 2023. The most importantinclusion criteria were selecting normal or nearly normal radiographs in the study. Radiologists wereblind to patients actual age and were requested to determine patient’s age to closest decade from CXR.The respondents entered their responses in separate Excel spreadsheets. Results: A sum of 3,500CXRs was interpreted by radiologists, out of which 32.14% CXRs were correctly interpreteddetermining age at SD + 3 years, whereas 2375 CXRs were either overrated or underestimated(p<0.05) and misinterpreted the age of patients (2375/3500; 67.85%). Conclusion: Overall ageassessment from a frontal CXR was only 32.14% in our study; considerable disparities were identifiedin age estimation using CXRs. Yet, it would be fascinating to expand this academic endeavor throughartificial intelligence tools and possibly improving the precision of patient age prediction from CXR.This approach for determining the age will be useful for screening tests in the prospect.
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胸部正位片对患者年龄评估的准确性
背景:胸片的解释可以通过了解病人的情况来辅助。放射科医生通常通过胸片正位肋软骨钙化评估来评估患者的年龄。目的:因此,我们进行了这项研究,以确定这些放射科医生从cxr中估计年龄的准确性。方法:选择10名放射学专家对2022年1月至2023年1月在卡拉奇国立儿童健康研究所/JSMU进行的3500例胸部前后位数字x线片进行评估。最重要的入选标准是在研究中选择正常或接近正常的x线片。放射科医生对患者的实际年龄一无所知,并被要求确定患者的年龄,从CXR到最近十年。受访者在单独的Excel电子表格中输入他们的回答。结果:放射科医师共解读了3500份cxr,其中32.14%的cxr被正确解读,确定了SD + 3岁的年龄,而2375份cxr被高估或低估(p<0.05),并误解了患者的年龄(2375/3500;67.85%)。结论:在我们的研究中,正面CXR的总体年龄评估率仅为32.14%;在使用cxr进行年龄估计时发现了相当大的差异。然而,通过人工智能工具扩展这一学术努力,并可能提高CXR对患者年龄预测的准确性,将是一件令人着迷的事情。这种确定年龄的方法将对未来的筛查试验有用。
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