Zobrazeno 1 - 10
of 226
pro vyhledávání: '"subsolid nodules"'
Publikováno v:
European Journal of Radiology Open, Vol 13, Iss , Pp 100584- (2024)
Purpose: To construct optimal models for predicting the invasiveness and pathological subtypes of subsolid nodules (SSNs) based on CT radiomics and clinical features. Materials and Methods: This study was a retrospective study involving two centers.
Externí odkaz:
https://doaj.org/article/4d060115a2444845855f3daf75df2fcd
Publikováno v:
CT Lilun yu yingyong yanjiu, Vol 33, Iss 3, Pp 343-350 (2024)
Objective: The study aimed to develop and evaluate a clinical diagnostic model that combined computer tomography (CT) radiomic features with a nomogram for predicting invasiveness in subsolid pulmonary nodules. Methods: This retrospective study analy
Externí odkaz:
https://doaj.org/article/98d8d5b7ae004080935c491d18924b96
Publikováno v:
Heliyon, Vol 10, Iss 15, Pp e34863- (2024)
Objective: This study aimed to investigate the value of artificial intelligence (AI) for distinguishing pathological subtypes of invasive pulmonary adenocarcinomas in patients with subsolid nodules (SSNs). Materials and methods: This retrospective st
Externí odkaz:
https://doaj.org/article/d24ebcc9c2364831a9a42b903ea713a3
Autor:
Hu, Xiaoqin a, Yang, Liu b, Kang, Tong a, Yu, Hanhua a, Zhao, Tingkuan c, Huang, Yuanyi d, ⁎⁎, Kong, Yuefeng a, ⁎
Publikováno v:
In Heliyon 15 August 2024 10(15)
Publikováno v:
Insights into Imaging, Vol 15, Iss 1, Pp 1-12 (2024)
Abstract Objectives To evaluate the clinical and non-contrast computed tomography (CT) features of patients with benign pulmonary subsolid nodules (SSNs) with a solid component ≤ 5 mm and their development trends via follow-up CT. Methods We retros
Externí odkaz:
https://doaj.org/article/b20bfb2684ef430a99ea45097fbce7c3
Autor:
Ana Paula Zanardo, Vicente Bohrer Brentano, Rafael Domingos Grando, Rafael Ramos Rambo, Felipe Teixeira Hertz, Luis Carlos Anflor Junior, Jonatas Favero Prietto Dos Santos, Gabriela Schneider Galvao, Cristiano Feijo Andrade
Publikováno v:
Tomography, Vol 9, Iss 4, Pp 1494-1503 (2023)
Introduction: The study was designed to evaluate the frequency of detection and the characteristics of subsolid nodules (SSNs) in outpatients’ chest computed tomography (CT) scans from a private hospital in Southern Brazil. Methods: A retrospective
Externí odkaz:
https://doaj.org/article/731e3359ac2048ea81fffb3b022cb317
Autor:
Zhedong Zhang, Lixin Zhou, Xianjun Min, Hao Li, Qingyi Qi, Chao Sun, Kunkun Sun, Fan Yang, Xiao Li
Publikováno v:
Thoracic Cancer, Vol 14, Iss 12, Pp 1059-1070 (2023)
Abstract Background Previous studies have suggested the applicability of three classifications of subsolid nodules (SSNs). However, few studies have unraveled the natural history of the three types of SSNs. Methods A retrospective study from two medi
Externí odkaz:
https://doaj.org/article/2324859f0dd546eca31c77797947fa61
Autor:
Jingchen WANG, Jun CHAI
Publikováno v:
CT Lilun yu yingyong yanjiu, Vol 32, Iss 2, Pp 241-248 (2023)
Objective: To explore the value of the artificial intelligence (AI) volumetric density method in determining the invasion of pulmonary hyposolid nodules (SSNs). Methods: A total of 108 SSNs and the pathological results of 106 patients were reviewed,
Externí odkaz:
https://doaj.org/article/a1b6ea9d8e324af8abc2155592efa87a
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