Zobrazeno 1 - 10
of 56
pro vyhledávání: '"Fa-Jin Lv"'
Autor:
Quan-Hao He, Jia-Jun Feng, Ling-Cheng Wu, Yun Wang, Xuan Zhang, Qing Jiang, Qi-Yuan Zeng, Si-Wen Yin, Wei-Yang He, Fa-Jin Lv, Ming-Zhao Xiao
Publikováno v:
Insights into Imaging, Vol 15, Iss 1, Pp 1-11 (2024)
Abstract Objectives To develop an interactive, non-invasive artificial intelligence (AI) system for malignancy risk prediction in cystic renal lesions (CRLs). Methods In this retrospective, multicenter diagnostic study, we evaluated 715 patients. An
Externí odkaz:
https://doaj.org/article/d0609d2e7454451891ff894bf1702143
Publikováno v:
Cancer Imaging, Vol 24, Iss 1, Pp 1-11 (2024)
Abstract Purpose To investigate the computed tomography (CT) characteristics of air-containing space and its specific patterns in neoplastic and non-neoplastic ground glass nodules (GGNs) for clarifying their significance in differential diagnosis. M
Externí odkaz:
https://doaj.org/article/55bc1d6223cf47e4ae14be281bdc1391
Publikováno v:
Insights into Imaging, Vol 14, Iss 1, Pp 1-13 (2023)
Abstract Objective To investigate the dynamic changes during follow-up computed tomography (CT), histological subtypes, gene mutation status, and surgical prognosis for different morphological presentations of solitary lung adenocarcinomas (SLADC). M
Externí odkaz:
https://doaj.org/article/05093995c825427bba8c601451a1e3dc
Publikováno v:
Insights into Imaging, Vol 14, Iss 1, Pp 1-10 (2023)
Abstract Background Pulmonary solid pleura-attached nodules (SPANs) are not very commonly detected and thus not well studied and understood. This study aimed to identify the clinical and CT characteristics for differentiating benign and malignant SPA
Externí odkaz:
https://doaj.org/article/bfe376c2978c4256b14ca5e121eb549b
Publikováno v:
Insights into Imaging, Vol 14, Iss 1, Pp 1-12 (2023)
Key points 1. Blending ensemble model achieved excellent diagnostic performance in the external validation dataset. 2. Blending ensemble model exceeded the management performance based on the Bosniak classification. 3. Histopathology criterion suppor
Externí odkaz:
https://doaj.org/article/929c69c2eac5492d8c14d6c7846343f2
Publikováno v:
BMC Cancer, Vol 22, Iss 1, Pp 1-10 (2022)
Abstract Background Previous studies confirmed that ground-glass nodules (GGNs) with certain CT manifestations had a higher probability of malignancy. However, differentiating patchy ground-glass opacities (GGOs) and GGNs has not been discussed solel
Externí odkaz:
https://doaj.org/article/92d52784004a4654b24be64ff232d3f3
Autor:
Hong-wei Liang, Yang Zhou, Zhi-wei Zhang, Gao-wu Yan, Si-lin Du, Xiao-hui Zhang, Xin-you Li, Fa-jin Lv, Qiao Zheng, Yong-mei Li
Publikováno v:
Insights into Imaging, Vol 13, Iss 1, Pp 1-10 (2022)
Abstract Background Pancreatic ductal adenocarcinoma (PDAC) remains a malignancy with poor prognosis, appropriate surgical resection and neoadjuvant therapy depend on the accurate identification of pancreatic supplying arteries. We aim to evaluate th
Externí odkaz:
https://doaj.org/article/84512f14c9af43a8b3f7c5fdc33ea9dd
Publikováno v:
Frontiers in Oncology, Vol 12 (2022)
Using nephrographic phase CT images combined with pathology diagnosis, we aim to develop and validate a fusion feature-based stacking ensemble machine learning model to distinguish malignant renal neoplasms from cystic renal lesions (CRLs). This retr
Externí odkaz:
https://doaj.org/article/7c07b924dde94f1496a990d0849e6c49
Publikováno v:
Frontiers in Oncology, Vol 12 (2022)
BackgroundTo investigate the value of computed tomography (CT)-based radiomics signatures in combination with clinical and CT morphological features to identify epidermal growth factor receptor (EGFR)-mutation subtypes in lung adenocarcinoma (LADC).M
Externí odkaz:
https://doaj.org/article/2eb9175e59864e85b797c58fcdcc12a0
Publikováno v:
BMC Medical Imaging, Vol 21, Iss 1, Pp 1-9 (2021)
Abstract Background Necrotic pulmonary lesions manifest as relatively low-density internally on contrast-enhanced computed tomography (CT). However, using CT to differentiate malignant and benign necrotic pulmonary lesions is challenging, as these le
Externí odkaz:
https://doaj.org/article/edc8367769a94dccbd6229c6bcf953d7