Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Haidi Lu"'
Autor:
Haidi Lu, Yuan Yuan, Minglu Liu, Zhihui Li, Xiaolu Ma, Yuwei Xia, Feng Shi, Yong Lu, Jianping Lu, Fu Shen
Publikováno v:
BMC Medical Imaging, Vol 24, Iss 1, Pp 1-10 (2024)
Abstract Background To construct and compare merged models integrating clinical factors, MRI-based radiomics features and deep learning (DL) models for predicting pathological complete response (pCR) to neoadjuvant chemoradiotherapy (nCRT) in patient
Externí odkaz:
https://doaj.org/article/fc51b0d02748467fb1904478f7c59080
Autor:
Shiyu Ma, Haidi Lu, Guodong Jing, Zhihui Li, Qianwen Zhang, Xiaolu Ma, Fangying Chen, Chengwei Shao, Yong Lu, Hao Wang, Fu Shen
Publikováno v:
Frontiers in Medicine, Vol 10 (2023)
BackgroundPrecise preoperative evaluation of lymph node metastasis (LNM) is crucial for ensuring effective treatment for rectal cancer (RC). This research aims to develop a clinical-radiomics nomogram based on deep learning techniques, preoperative m
Externí odkaz:
https://doaj.org/article/243651c5366e4fc4b07d9bab4ef79260
Publikováno v:
Frontiers in Medicine, Vol 10 (2023)
BackgroundThe objective of this study was twofold: firstly, to develop a convolutional neural network (CNN) for automatic segmentation of rectal cancer (RC) lesions, and secondly, to construct classification models to differentiate between different
Externí odkaz:
https://doaj.org/article/3f95d5503aff43cabc0c9272efaa03e0
Publikováno v:
Frontiers in Oncology, Vol 12 (2022)
ObjectiveThe current work aimed to develop a nomogram comprised of MRI-based pelvimetry and clinical factors for predicting the difficulty of rectal surgery for middle and low rectal cancer (RC).MethodsConsecutive mid to low RC cases who underwent tr
Externí odkaz:
https://doaj.org/article/2dd4c6ea93214fcc8e8b37229048be88
Autor:
Guodong Jing, Pengyi Xing, Zhihui Li, Xiaolu Ma, Haidi Lu, Chengwei Shao, Yong Lu, Jianping Lu, Fu Shen
Publikováno v:
Frontiers in Oncology, Vol 12 (2022)
ObjectiveTo develop and validate a multimodal MRI-based radiomics nomogram for predicting clinically significant prostate cancer (CS-PCa).MethodsPatients who underwent radical prostatectomy with pre-biopsy prostate MRI in three different centers were
Externí odkaz:
https://doaj.org/article/b4fda2308ab04c38b5f2c8a44733d7ca
Publikováno v:
BMC Medical Imaging, Vol 21, Iss 1, Pp 1-10 (2021)
Abstract Background To validate and compare various MRI-based radiomics models to evaluate treatment response to neoadjuvant chemoradiotherapy (nCRT) of rectal cancer. Methods A total of 80 patients with locally advanced rectal cancer (LARC) who unde
Externí odkaz:
https://doaj.org/article/bd461002fd7a4ee6b6ec111d75fb9b16
Publikováno v:
Cancer Imaging, Vol 18, Iss 1, Pp 1-9 (2018)
Abstract Background To explore the effect of b-value distributions on the repeatability and diagnostic performance of the ADC value in rectal cancer patients using multiple b-values and mono-exponential model diffusion-weighted imaging (DWI). Methods
Externí odkaz:
https://doaj.org/article/8b9d3ee6f8094c62b97b5c3093bb6d74
Autor:
Yuan Yuan, Kuo Zheng, Lu Zhou, Fangying Chen, Shaoting Zhang, Haidi Lu, Jianping Lu, Chengwei Shao, Ronggui Meng, Wei Zhang, Xianhua Gao, Fu Shen
Publikováno v:
International Journal of Colorectal Disease. 38
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a4dfde9cea22fa7d7444ea41358602a0
https://doi.org/10.1007/s00384-023-04330-y
https://doi.org/10.1007/s00384-023-04330-y
Publikováno v:
BioMed Research International
BioMed Research International, Vol 2021 (2021)
BioMed Research International, Vol 2021 (2021)
The manual delineation of the lesion is mainly used as a conventional segmentation method, but it is subjective and has poor stability and repeatability. The purpose of this study is to validate the effect of a radiomics model based on MRI derived fr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0b34d36f6ba71fc8cd95913960ab38cf
https://doi.org/10.1155/2021/5566885
https://doi.org/10.1155/2021/5566885
Publikováno v:
BMC Medical Imaging, Vol 21, Iss 1, Pp 1-10 (2021)
BMC Medical Imaging
BMC Medical Imaging
Background To validate and compare various MRI-based radiomics models to evaluate treatment response to neoadjuvant chemoradiotherapy (nCRT) of rectal cancer. Methods A total of 80 patients with locally advanced rectal cancer (LARC) who underwent sur
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::320f1c30ed3318e571c035892b540feb
https://doaj.org/article/bd461002fd7a4ee6b6ec111d75fb9b16
https://doaj.org/article/bd461002fd7a4ee6b6ec111d75fb9b16