A Novel Method to Detect Lymphangioleiomyomatosis (LAM) Using CNNLSTM on Computed Tomography
Article Sidebar
Main Article Content
Abstract
Lymphangioleiomyomatosis
Downloads
Article Details
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
How to Cite
References
Alexa. E,Chloe Steveson,”Ultra low dose CT with Silver filter and deep learning reconstruction significantly reduces radiation and retain quantitative information in the investigation and monitoring of Lymphangioleiomyomatosis” European Radiology [2024]. DOI: https://doi.org/10.1007/s00330-024-10649-z
Anushka K palipana, Emra Gecili,” Predicting Indualized lung disease progression in treatment naïve patient with Lymphangioleiomyomatosis(LAM)” Epub [2023]. DOI: https://doi.org/10.1016/j.chest.2022.12.027
Eileen Wang-koheler ,Adina.R “Complications of lymphangioleiomyomatosis(LAM) in pregnancy” Elsevier [2024]. DOI: https://doi.org/10.1016/j.xagr.2024.100309
Xiang jia,Chen Qiantong , ”Study on diffuse cystic lung disease based on deep learning.”Journal of Science direct[2024]. https://openurl.ebsco.com/EPDB%3Agcd%3A14%3A2656526/detailv2?sid=ebsco%3Aplink%3Ascholar&id=ebsco%3Agcd%3A180445423&crl=c&link_origin=scholar.google.co.in
Eun Min lee, Ju hee kim”Uterine lymphangioleiomyomatosis (LAM) in a premenopausal woman with tuberous sclerosis”Elsevier[2024]. DOI: https://doi.org/10.1016/j.crwh.2024.e00650
Claire.E, Lawrence .A “Unsupervised Exercise in Interstital Lung Disease”CHEST journal [2024]. https://journal.chestnet.org/action/showPdf?pii=S0012-3692%2824%2904613-0
David rudilla, Maria Molina,”A study on the Psychological profile and coping with the disease in patients with Lymphangioleiomyomatosis(LAM)”, Elsevier[2024]. DOI: https://doi.org/10.1016/j.opresp.2024.100327
Kundu .N, Holz MK ”Lymphangioleiomyomatosis (LAM): a metastanic lung disease”AM J physiol cell [2023]. DOI: https://doi.org/10.1152/ajpcell.00202.2022
McCormack FX, Inoue Y ”Efcacy and safety of sirolimus LAM”[2011]. DOI: https://doi.org/10.1056/NEJMoa1100391
Rudilla D, Beceiro MJ, Alonso T, Oliver A, Soriano J, Valenzuela C, et al. Psychological profile of patients diagnosed with idiopathic pulmonary fibrosis. Arch Bronconeumol. 2022;58:191– 3, http://dx.doi.org/10.1016/j.arbres.2021.04.025
Yeom JA, Kim KU, Hwang M et al (2022) Emphysema quantifcation using ultra-low-dose chest CT: efcacy of deep learning-based image recon- struction. Medicina (Kaunas) 58:939. DOI: https://doi.org/10.3390/medicina58070939
Pouw T, de Man-van Ginkel J, Hardeman JA, Mager JJ, Trapman L, Jaarsma T, et al. The association of resilience with self-care and quality of life in people with chronic obstructive pulmonary disease: a cross- sectional study. Nurs Open. 2023;10:7738–48, http://dx.doi.org/10.1002/nop2.2015
Pollok J, van Agteren JE, Esterman AJ, Carson- Chahhoud KV. Psychological therapies for the treatment of depression in chronic obstructive pulmonary disease. Cochrane Database Syst Rev. 2019;3:CD012347, http://dx.doi.org/10.1002/14651858.CD012347.pub2
Araujo MS, Baldi BG, Freitas CS, Albuquerque AL, Marques da Silva CC, Kairalla RA, et al. Pulmonary rehabilitation in lymphangioleiomyomatosis: a controlled clinical trial. Eur Respir J. 2016. DOI: https://doi.org/10.1183/13993003.01683-2015
Cottin V, Archer F, Leroux C, Mornex JF, Cordier JF. Milestones in lymphangioleiomyomatosis research. Eur Respir Rev. 2011;20:3–6, http://dx.doi.org/10.1183/09059180.00000311