Development and validation of a model predicting adrenal lipid-poor adenoma based on the minimum attenuation value from non-contrast CT: a dual-center retrospective study

对比度(视觉) 中心(范畴论) 衰减 对偶(语法数字) 价值(数学) 肾上腺腺瘤 计算机科学 回顾性队列研究 医学物理学 腺瘤 医学 放射科 人工智能 内科学 光学 物理 化学 机器学习 艺术 文学类 结晶学
作者
Hanlin Zhu,Mengwei Wu,Bo Feng,Shouxin Zhang,Chunfeng Hu,Shouxin Zhang,Zhijiang Han
出处
期刊:BMC Medical Imaging [Springer Nature]
卷期号:24 (1)
标识
DOI:10.1186/s12880-024-01392-4
摘要

The early differentiation of adrenal lipid-poor adenomas from non-adenomas is a crucial step in reducing excessive examinations and treatments. This study seeks to construct an eXtreme Gradient Boosting (XGBoost) predictive model utilizing the minimum attenuation values (minAVs) from non-contrast CT (NCCT) scans to identify lipid-poor adenomas. Retrospective analysis encompassed clinical data, minAVs, CT histogram (CTh), mean attenuation values (meanAVs), and lesion diameter from patients with pathologically or clinically confirmed adrenal lipid-poor adenomas across two medical institutions, juxtaposed with non-adenomas. Variable selection transpired in Institution A (training set), with XGBoost models established based on minAVs and CTh separately. Institution B (validation set) corroborated the diagnostic efficacy of the two models. Receiver operator characteristic (ROC) curve analysis, calibration curves, and Brier scores assessed the diagnostic performance and calibration of the models, with the Delong test gauging differences in the area under the curve (AUC) between models. SHapley Additive exPlanations (SHAP) values elucidated and visualized the models. The training set comprised 136 adrenal lipid-poor adenomas and 126 non-adenomas, while the validation set included 46 and 40 instances, respectively. In the training set, there were substantial inter-group differences in minAVs, CTh, meanAVs, diameter, and body mass index (BMI) (p < 0.05 for all). The AUC for the minAV and CTh models were 0.912 (95% confidence interval [CI]: 0.866–0.957) and 0.916 (95% CI: 0.873–0.958), respectively. Both models exhibited good calibration, with Brier scores of 0.141 and 0.136. In the validation set, the AUCs were 0.871 (95% CI: 0.792–0.951) and 0.878 (95% CI: 0.794–0.962), with Brier scores of 0.156 and 0.165, respectively. The Delong test revealed no statistically significant differences in AUC between the models (p > 0.05 for both). SHAP value analysis for the minAV model suggested that minAVs had the highest absolute weight (AW) and negative contribution. The XGBoost predictive model based on minAVs demonstrates effective discrimination between adrenal lipid-poor adenomas and non-adenomas. The minAV variable is easily obtainable, and its diagnostic performance is comparable to that of the CTh model. This provides a basis for patient diagnosis and treatment plan selection.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
大幅提高文件上传限制,最高150M (2024-4-1)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
gishisei完成签到,获得积分10
2秒前
2秒前
小秋发布了新的文献求助10
2秒前
gan发布了新的文献求助10
3秒前
6秒前
7秒前
9秒前
tt发布了新的文献求助10
9秒前
12秒前
炙热晓露发布了新的文献求助10
12秒前
小秋完成签到,获得积分10
13秒前
iWatchTheMoon应助菇菇吃不吃采纳,获得10
13秒前
iWatchTheMoon应助菇菇吃不吃采纳,获得10
13秒前
iWatchTheMoon应助菇菇吃不吃采纳,获得10
13秒前
vanshaw.vs发布了新的文献求助10
14秒前
Hello应助poker采纳,获得10
14秒前
留胡子的霖应助yuxin采纳,获得10
14秒前
wangjing应助阳光火车采纳,获得10
15秒前
阳子发布了新的文献求助10
16秒前
自由的自中完成签到 ,获得积分10
16秒前
18秒前
19秒前
快乐的迷勒完成签到,获得积分10
20秒前
summer发布了新的文献求助10
22秒前
22秒前
moninaaaaa发布了新的文献求助10
23秒前
徐rl完成签到 ,获得积分10
24秒前
郝宝真发布了新的文献求助10
24秒前
24秒前
27秒前
阳子完成签到,获得积分10
27秒前
万幸鹿发布了新的文献求助10
27秒前
poker发布了新的文献求助10
28秒前
tt完成签到,获得积分10
30秒前
共享精神应助summer采纳,获得10
32秒前
cy发布了新的文献求助10
33秒前
岁岁完成签到 ,获得积分10
33秒前
34秒前
秋刀鱼的滋味完成签到,获得积分10
35秒前
cc小木屋应助万幸鹿采纳,获得10
36秒前
高分求助中
Becoming: An Introduction to Jung's Concept of Individuation 600
Ore genesis in the Zambian Copperbelt with particular reference to the northern sector of the Chambishi basin 500
A new species of Coccus (Homoptera: Coccoidea) from Malawi 500
A new species of Velataspis (Hemiptera Coccoidea Diaspididae) from tea in Assam 500
PraxisRatgeber: Mantiden: Faszinierende Lauerjäger 500
Mantiden: Faszinierende Lauerjäger Faszinierende Lauerjäger 400
Blattodea, Mantodea, Isoptera, Grylloblattodea, Phasmatodea, Dermaptera and Embioptera, Volume 3, Part 2 400
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 基因 遗传学 催化作用 物理化学 免疫学 量子力学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 3165510
求助须知:如何正确求助?哪些是违规求助? 2816611
关于积分的说明 7913235
捐赠科研通 2476117
什么是DOI,文献DOI怎么找? 1318699
科研通“疑难数据库(出版商)”最低求助积分说明 632179
版权声明 602388