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MPBD-LSTM: A Predictive Model for Colorectal Liver Metastases Using Time Series Multi-phase Contrast-Enhanced CT Scans

Autor: Li, Xueyang, Xiao, Han, Weng, Weixiang, Xu, Xiaowei, Shi, Yiyu

Publikováno v: MICCAI 2023; vol 14225; page 379-388

Colorectal cancer is a prevalent form of cancer, and many patients develop colorectal cancer liver metastasis (CRLM) as a result. Early detection of CRLM is critical for improving survival rates. Radiologists usually rely on a series of multi-phase c

Externí odkaz: http://arxiv.org/abs/2412.01973

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Akademický článek

Prediction of iodine-125 seed implantation efficacy in lung cancer using an enhanced CT-based nomogram model.

Autor: Guibin, Deng¹ (AUTHOR), Xiaolan, Shen¹ (AUTHOR), Wei, Zhang² (AUTHOR), Xiaoli, Lan³ (AUTHOR), Liu, Dehui¹ (AUTHOR) liudehui8000@163.com

Publikováno v: PLoS ONE. 11/15/2024, Vol. 19 Issue 11, p1-12. 12p.

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LIDIA: Precise Liver Tumor Diagnosis on Multi-Phase Contrast-Enhanced CT via Iterative Fusion and Asymmetric Contrastive Learning

Autor: Huang, Wei, Liu, Wei, Zhang, Xiaoming, Yin, Xiaoli, Han, Xu, Li, Chunli, Gao, Yuan, Shi, Yu, Lu, Le, Zhang, Ling, Zhang, Lei, Yan, Ke

The early detection and precise diagnosis of liver tumors are tasks of critical clinical value, yet they pose significant challenges due to the high heterogeneity and variability of liver tumors. In this work, a precise LIver tumor DIAgnosis network

Externí odkaz: http://arxiv.org/abs/2407.13217

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Akademický článek

A comparative study of tumor markers and dynamic contrast-enhanced CT and their combined evaluation in the diagnosis of renal cancer patients

Autor: Xiaofeng Wang, Peipei He, Minghui Yan

Publikováno v: Journal of Men's Health, Vol 20, Iss 9, Pp 111-117 (2024)

The objectives of this study were to investigate the diagnostic efficacy of dynamic contrast-enhanced Computed Tomography (CT) and tumor markers and their combined evaluation in renal cancer patients. A total of eighty male patients with solid renal

Externí odkaz: https://doaj.org/article/8395ffe47d4145378d76a47ee40ed9d4

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Akademický článek

The study of plain CT combined with contrast-enhanced CT-based models in predicting malignancy of solitary solid pulmonary nodules

Autor: Wenjia Zhang, Xiaonan Cui, Jing Wang, Sha Cui, Jianghua Yang, Junjie Meng, Weijie Zhu, Zhiqi Li, Jinliang Niu

Publikováno v: Scientific Reports, Vol 14, Iss 1, Pp 1-9 (2024)

Abstract To compare the diagnostic performance between plain CT-based model and plain plus contrast CT-based modelin the classification of malignancy for solitary solid pulmonary nodules. Between January 2012 and July 2021, 527 patients with patholog

Externí odkaz: https://doaj.org/article/d8467c993764403fa573a04f40de3168

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Predicting angiogenesis in adrenal pheochromocytoma: the role of modified parameters from contrast-enhanced CT

Autor: Xing Xing, Shao-ping Cheng, Jin-bai Huang

Publikováno v: Discover Oncology, Vol 15, Iss 1, Pp 1-10 (2024)

Abstract Objective The aim of this study is to investigate the value of modified parameters derived from dual-phase contrast-enhanced computed tomography (CT) in predicting angiogenesis within pheochromocytoma. Method A total of 31 patients with path

Externí odkaz: https://doaj.org/article/865abd4489454c8d8cb9372e05294fe6

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S-CycleGAN: Semantic Segmentation Enhanced CT-Ultrasound Image-to-Image Translation for Robotic Ultrasonography

Autor: Song, Yuhan, Chong, Nak Young

Ultrasound imaging is pivotal in various medical diagnoses due to its non-invasive nature and safety. In clinical practice, the accuracy and precision of ultrasound image analysis are critical. Recent advancements in deep learning are showing great c

Externí odkaz: http://arxiv.org/abs/2406.01191

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