{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,31]],"date-time":"2026-07-31T16:43:57Z","timestamp":1785516237314,"version":"3.56.0"},"reference-count":23,"publisher":"SAGE Publications","issue":"6","license":[{"start":{"date-parts":[[2024,6,1]],"date-time":"2024-06-01T00:00:00Z","timestamp":1717200000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"},{"start":{"date-parts":[[2024,6,1]],"date-time":"2024-06-01T00:00:00Z","timestamp":1717200000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Telemedicine and e-Health"],"published-print":{"date-parts":[[2024,6]]},"abstract":"<jats:sec>\n                    <jats:title>Introduction:<\/jats:title>\n                    <jats:p>\n                      <jats:italic toggle=\"yes\">Lung cancer is a leading cause of cancer deaths globally. Despite favorable recommendations, low-dose computed tomography (LDCT) lung screening adoption remains low in China. Barriers such as limited infrastructure, costs, distance, and personnel shortages restrict screening access in disadvantaged regions. We initiated a telemedicine-enabled lung cancer screening (LCS) program in a medical consortium to serve people at risk in underserved communities. The objective of this study was to describe the implementation and initial results of the program.<\/jats:italic>\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods:<\/jats:title>\n                    <jats:p>\n                      <jats:italic toggle=\"yes\">From 2020 to 2021, individuals aged 40\u201380 years were invited to take LCS by mobile computed tomography (CT) units in three underserved areas in Western China. Numerous CT scans were remotely reported by radiologists aided by artificial intelligence (AI) diagnostic systems. Abnormal cases were tracked through an integrated hospital network for follow-up. A retrospective cohort study documented participant demographics, health history, LDCT results, and outcomes. Descriptive analysis was conducted to report baseline characteristics and first-year follow-up results.<\/jats:italic>\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results:<\/jats:title>\n                    <jats:p>\n                      <jats:italic toggle=\"yes\">Of the 28,728 individuals registered in the program, 19,517 (67.94%) participated in the screening. The study identified 2.68% of participants with high-risk pulmonary nodules and diagnosed 0.55% with lung cancer after a 1-year follow-up. The majority of high-risk participants received timely treatment in hospitals.<\/jats:italic>\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions:<\/jats:title>\n                    <jats:p>\n                      <jats:italic toggle=\"yes\">This study demonstrated mobile CT units with remote AI assistance improved access to LCS in underserved areas, with high participation and early detection rates. Our implementation supports the feasibility of deploying telemedicine-enabled LCS to increase access to a large scale of basic radiology and diagnostic services in resource-limited settings.<\/jats:italic>\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Clinical Trial Registration Number: ChiCTR1900024623<\/jats:title>\n                    <jats:p>.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1089\/tmj.2023.0648","type":"journal-article","created":{"date-parts":[[2024,3,4]],"date-time":"2024-03-04T08:45:43Z","timestamp":1709541943000},"update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":17,"title":["Telemedicine-Enhanced Lung Cancer Screening Using Mobile Computed Tomography Unit with Remote Artificial Intelligence Assistance in Underserved Communities: Initial Results of a Population Cohort Study in Western China"],"prefix":"10.1177","volume":"30","author":[{"given":"Wenjuan","family":"Tao","sequence":"first","affiliation":[{"name":"Institute of Hospital Management, West China Hospital, Sichuan University, Chengdu, China."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0005-2355-4668","authenticated-orcid":false,"given":"Xiru","family":"Yu","sequence":"additional","affiliation":[{"name":"Institute for Hospital Management, Tsinghua University, Shenzhen, China."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jun","family":"Shao","sequence":"additional","affiliation":[{"name":"Department of Pulmonary and Critical Care Medicine, West China Hospital, Sichuan University, Chengdu, China."},{"name":"State Key Laboratory of Respiratory Health and Multimorbidity, West China Hospital, Sichuan University, Chengdu, China."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ruicen","family":"Li","sequence":"additional","affiliation":[{"name":"Health Management Center, General Practice Medical Center, West China Hospital, Sichuan University, Chengdu, China."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Weimin","family":"Li","sequence":"additional","affiliation":[{"name":"Department of Pulmonary and Critical Care Medicine, West China Hospital, Sichuan University, Chengdu, China."},{"name":"State Key Laboratory of Respiratory Health and Multimorbidity, West China Hospital, Sichuan University, Chengdu, China."},{"name":"Institute of Respiratory Health, Frontiers Science Center for Disease-related Molecular Network, West China Hospital, Sichuan University, Chengdu, China."},{"name":"Precision Medicine Center, Precision Medicine Key Laboratory of Sichuan Province, West China Hospital, Sichuan University, Chengdu, China."}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"179","published-online":{"date-parts":[[2024,6,21]]},"reference":[{"key":"e_1_3_5_2_2","doi-asserted-by":"publisher","DOI":"10.3322\/caac.21660"},{"key":"e_1_3_5_3_2","doi-asserted-by":"publisher","DOI":"10.1038\/s43018-020-00142-z"},{"key":"e_1_3_5_4_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.jncc.2022.07.004"},{"key":"e_1_3_5_5_2","doi-asserted-by":"publisher","DOI":"10.1001\/jama.2021.0377"},{"key":"e_1_3_5_6_2","doi-asserted-by":"publisher","DOI":"10.2147\/LCTT.S192643"},{"key":"e_1_3_5_7_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.jacr.2018.12.018"},{"key":"e_1_3_5_8_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.eclinm.2022.101594"},{"key":"e_1_3_5_9_2","doi-asserted-by":"publisher","DOI":"10.1016\/S1470-2045(14)70029-4"},{"key":"e_1_3_5_10_2","doi-asserted-by":"publisher","DOI":"10.1158\/1055-9965.EPI-17-0454"},{"key":"e_1_3_5_11_2","unstructured":"Screening in Underserved Communities: A Mobile Unit Brings Lung Cancer Screening to Remote Areas of West Virginia. 2022. Available from: https:\/\/www.acr.org\/Practice-Management-Quality-Informatics\/Imaging-3\/Case-Studies\/Lung-Cancer-Screening\/Screening-in-Underserved-Communities [Last accessed: November1 2023]."},{"key":"e_1_3_5_12_2","doi-asserted-by":"publisher","DOI":"10.1634\/theoncologist.2019-0802"},{"key":"e_1_3_5_13_2","doi-asserted-by":"publisher","DOI":"10.1177\/10732748221121385"},{"key":"e_1_3_5_14_2","doi-asserted-by":"publisher","DOI":"10.1007\/s11596-022-2654-9"},{"key":"e_1_3_5_15_2","doi-asserted-by":"publisher","DOI":"10.3389\/fpubh.2022.996169"},{"key":"e_1_3_5_16_2","doi-asserted-by":"publisher","DOI":"10.1186\/s13690-023-01046-x"},{"key":"e_1_3_5_17_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.canep.2020.101801"},{"key":"e_1_3_5_18_2","unstructured":"Commission SPH. Sichuan Health Statistical Yearbook (2021). 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