Application of Deep Learning to IVC Filter Detection from CT Scans.
Application of Deep Learning to IVC Filter Detection from CT Scans.
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DOI：
10.3390/diagnostics12102475
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发表时间：
2022-10-13
期刊：
影响因子：
3.6
通讯作者：
Wildenberg, Joseph
中科院分区：
文献类型：
--
作者：
Gomes, Rahul;Kamrowski, Connor;Mohan, Pavithra Devy;Senor, Cameron;Langlois, Jordan;Wildenberg, Joseph
IVC过滤器（IVCF）在选择有静脉血凝块的患者中发挥重要作用。然而，它们通常是暂时的，并且移除的显著延迟可能对患者的健康产生负面影响。目前，所有介入放射学（IR）实践的任务是跟踪放置IVCF的患者。由于其尺寸小且位于腹部深处，患者通常会忘记他们有IVCF。因此，对于新的健康护理提供者来说，要意识到过滤器的存在显著的延迟。患者可能有很多原因进行腹盆CT扫描，幸运的是，IVCF在这些扫描上清晰可见。在这项研究中，开发了一种能够沿着轴向平面从CT扫描切片中分割IVCF的深度学习模型。该模型在训练372个CT扫描切片时获得了0.82的Dice评分。然后将分割模型与能够将整个CT扫描标记为具有IVCF的预测算法集成。利用分割模型的预测算法在扫描中检测IVCF时达到了92.22%的准确率。
IVC filters (IVCF) perform an important function in select patients that have venous blood clots. However, they are usually intended to be temporary, and significant delay in removal can have negative health consequences for the patient. Currently, all Interventional Radiology (IR) practices are tasked with tracking patients in whom IVCF are placed. Due to their small size and location deep within the abdomen it is common for patients to forget that they have an IVCF. Therefore, there is a significant delay for a new healthcare provider to become aware of the presence of a filter. Patients may have an abdominopelvic CT scan for many reasons and, fortunately, IVCF are clearly visible on these scans. In this research a deep learning model capable of segmenting IVCF from CT scan slices along the axial plane is developed. The model achieved a Dice score of 0.82 for training over 372 CT scan slices. The segmentation model is then integrated with a prediction algorithm capable of flagging an entire CT scan as having IVCF. The prediction algorithm utilizing the segmentation model achieved a 92.22% accuracy at detecting IVCF in the scans.
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DOI：
10.3390/diagnostics11071155
发表时间：
2021-06-24
期刊：
Diagnostics (Basel, Switzerland)
影响因子：
--
作者：
El-Rashidy N;Abdelrazik S;Abuhmed T;Amer E;Ali F;Hu JW;El-Sappagh S
通讯作者：
El-Sappagh S
影响因子：
4.6
作者：
Diamant, Andre;Chatterjee, Avishek;Seuntjens, Jan
通讯作者：
Seuntjens, Jan
DOI：
10.1053/j.tvir.2004.02.006
发表时间：
2004-06-01
影响因子：
1.7
作者：
Kaufman, John A
通讯作者：
Kaufman, John A
影响因子：
2.9
作者：
Durack, Jeremy C.;Westphalen, Antonio C.;Kerlan, Robert K.
通讯作者：
Kerlan, Robert K.
影响因子：
4.5
作者：
Dairi A;Harrou F;Zeroual A;Hittawe MM;Sun Y
通讯作者：
Sun Y