Modified Lung-RADS Improves Performance of Screening LDCT in a Population with High Prevalence of Non-smoking-related Lung Cancer
We proposed a modification of the ACR Lung Imaging Reporting and Data System (Lung-RADS) to clarify the characteristics of subsolid nodules with categories 1-11, and to compare the diagnostic accuracy with Lung-RADS and National Lung Screening Trial criteria in an Asian population with high prevalen...
Saved in:
Published in | Academic radiology Vol. 25; no. 10; p. 1240 |
---|---|
Main Authors | , , , , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
United States
01.10.2018
|
Subjects | |
Online Access | Get more information |
ISSN | 1878-4046 |
DOI | 10.1016/j.acra.2018.01.012 |
Cover
Loading…
Abstract | We proposed a modification of the ACR Lung Imaging Reporting and Data System (Lung-RADS) to clarify the characteristics of subsolid nodules with categories 1-11, and to compare the diagnostic accuracy with Lung-RADS and National Lung Screening Trial criteria in an Asian population with high prevalence of adenocarcinoma.
We analyzed a retrospective cohort of 1978 consecutive healthy subjects (72.8% nonsmoker) who underwent low-dose computed tomography from August 2013 to October 2014 (1084 men, 894 women). Lung-RADS categories 2 and 3 were modified to include subcategories of 2A/2B/2C and 3A/3B/3C, respectively. Clinical information and nodule characteristics were recorded. Receiver operating characteristic curves were used to compare diagnostic accuracy at different cutoffs.
Thirty-two subjects (30 nonsmokers) had pathology-proven adenocarcinoma spectrum lesions in the follow-up period (1.6 ± 0.5 years). Modified Lung-RADS, using modified Lung-RADS category 2C as cutoff, had an area under the curve (AUC) of 0.973 in predicting adenocarcinoma spectrum lesions (sensitivity of 100%, specificity of 89.3%), which was significantly higher than that of Lung-RADS (AUC = 0.815, P < .001) and National Lung Screening Trial (AUC = 0.906, P < .001). Furthermore, modified Lung-RADS showed an AUC of 0.992 in predicting invasive adenocarcinoma (sensitivity of 95%, specificity of 97.8%) when category 3B was used as cutoff.
Modified Lung-RADS may substantially improve sensitivity while maintaining specificity for detection of adenocarcinoma spectrum lesions in an Asian population. Compared to Lung-RADS, it has enhanced ability to differentiate invasive from indolent adenocarcinoma by more refined subclassification of subsolid nodules using two cutoff values of category 2C and 3B. The effect of using modified Lung-RADS in clinical practice must be carefully studied in prospective large cohort studies. |
---|---|
AbstractList | We proposed a modification of the ACR Lung Imaging Reporting and Data System (Lung-RADS) to clarify the characteristics of subsolid nodules with categories 1-11, and to compare the diagnostic accuracy with Lung-RADS and National Lung Screening Trial criteria in an Asian population with high prevalence of adenocarcinoma.
We analyzed a retrospective cohort of 1978 consecutive healthy subjects (72.8% nonsmoker) who underwent low-dose computed tomography from August 2013 to October 2014 (1084 men, 894 women). Lung-RADS categories 2 and 3 were modified to include subcategories of 2A/2B/2C and 3A/3B/3C, respectively. Clinical information and nodule characteristics were recorded. Receiver operating characteristic curves were used to compare diagnostic accuracy at different cutoffs.
Thirty-two subjects (30 nonsmokers) had pathology-proven adenocarcinoma spectrum lesions in the follow-up period (1.6 ± 0.5 years). Modified Lung-RADS, using modified Lung-RADS category 2C as cutoff, had an area under the curve (AUC) of 0.973 in predicting adenocarcinoma spectrum lesions (sensitivity of 100%, specificity of 89.3%), which was significantly higher than that of Lung-RADS (AUC = 0.815, P < .001) and National Lung Screening Trial (AUC = 0.906, P < .001). Furthermore, modified Lung-RADS showed an AUC of 0.992 in predicting invasive adenocarcinoma (sensitivity of 95%, specificity of 97.8%) when category 3B was used as cutoff.
Modified Lung-RADS may substantially improve sensitivity while maintaining specificity for detection of adenocarcinoma spectrum lesions in an Asian population. Compared to Lung-RADS, it has enhanced ability to differentiate invasive from indolent adenocarcinoma by more refined subclassification of subsolid nodules using two cutoff values of category 2C and 3B. The effect of using modified Lung-RADS in clinical practice must be carefully studied in prospective large cohort studies. |
Author | Tang, En-Kuei Liang, Chia-Hao Mar, Guang-Yuan Huang, Yi-Luan Wu, Ming-Ting Wu, Carol C Wu, Chuan-Ling Wu, Fu-Zong Lai, Ruay-Sheng Chen, Chi-Shen Hsu, Hui-Ting Wang, Jo-Ching |
Author_xml | – sequence: 1 givenname: Hui-Ting surname: Hsu fullname: Hsu, Hui-Ting organization: Department of Radiology, Kaohsiung Veterans General Hospital, No. 386, Ta-Chung 1st Road, Kaohsiung, 81362, Taiwan; Faculty of Medicine, School of Medicine, National Yang Ming University, Taipei, Taiwan; Institute of Clinical Medicine, National Yang Ming University, Taipei, Taiwan; School of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan – sequence: 2 givenname: En-Kuei surname: Tang fullname: Tang, En-Kuei organization: Division of Thoracic Surgery, Department of Surgery, Kaohsiung Veterans General Hospital, Kaohsiung, Taiwan; Department of Nursing, Shu-Zen Junior College of Medicine and Management, Kaohsiung, Taiwan – sequence: 3 givenname: Ming-Ting surname: Wu fullname: Wu, Ming-Ting organization: Department of Radiology, Kaohsiung Veterans General Hospital, No. 386, Ta-Chung 1st Road, Kaohsiung, 81362, Taiwan; Faculty of Medicine, School of Medicine, National Yang Ming University, Taipei, Taiwan; Institute of Clinical Medicine, National Yang Ming University, Taipei, Taiwan – sequence: 4 givenname: Carol C surname: Wu fullname: Wu, Carol C organization: Department of Radiology, University of Texas MD Anderson Cancer Center, Houston, Texas – sequence: 5 givenname: Chia-Hao surname: Liang fullname: Liang, Chia-Hao organization: Department of Biomedical Imaging and Radiological Sciences, National Yang Ming University, Taipei, Taiwan – sequence: 6 givenname: Chi-Shen surname: Chen fullname: Chen, Chi-Shen organization: Department of Internal Medicine, Kaohsiung Veterans General Hospital, Kaohsiung, Taiwan – sequence: 7 givenname: Guang-Yuan surname: Mar fullname: Mar, Guang-Yuan organization: Department of Internal Medicine, Kaohsiung Veterans General Hospital, Kaohsiung, Taiwan – sequence: 8 givenname: Ruay-Sheng surname: Lai fullname: Lai, Ruay-Sheng organization: Department of Internal Medicine, Kaohsiung Veterans General Hospital, Kaohsiung, Taiwan – sequence: 9 givenname: Jo-Ching surname: Wang fullname: Wang, Jo-Ching organization: Department of Radiology, Kaohsiung Veterans General Hospital, No. 386, Ta-Chung 1st Road, Kaohsiung, 81362, Taiwan; Faculty of Medicine, School of Medicine, National Yang Ming University, Taipei, Taiwan; Institute of Clinical Medicine, National Yang Ming University, Taipei, Taiwan – sequence: 10 givenname: Chuan-Ling surname: Wu fullname: Wu, Chuan-Ling organization: Department of Radiology, Kaohsiung Veterans General Hospital, No. 386, Ta-Chung 1st Road, Kaohsiung, 81362, Taiwan; Faculty of Medicine, School of Medicine, National Yang Ming University, Taipei, Taiwan; Institute of Clinical Medicine, National Yang Ming University, Taipei, Taiwan – sequence: 11 givenname: Yi-Luan surname: Huang fullname: Huang, Yi-Luan organization: Department of Radiology, Kaohsiung Veterans General Hospital, No. 386, Ta-Chung 1st Road, Kaohsiung, 81362, Taiwan; Faculty of Medicine, School of Medicine, National Yang Ming University, Taipei, Taiwan; Institute of Clinical Medicine, National Yang Ming University, Taipei, Taiwan – sequence: 12 givenname: Fu-Zong surname: Wu fullname: Wu, Fu-Zong email: cmvwu1029@gmail.com organization: Department of Radiology, Kaohsiung Veterans General Hospital, No. 386, Ta-Chung 1st Road, Kaohsiung, 81362, Taiwan; Faculty of Medicine, School of Medicine, National Yang Ming University, Taipei, Taiwan; Institute of Clinical Medicine, National Yang Ming University, Taipei, Taiwan; School of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan. Electronic address: cmvwu1029@gmail.com |
BackLink | https://www.ncbi.nlm.nih.gov/pubmed/29530488$$D View this record in MEDLINE/PubMed |
BookMark | eNo1kN1OwjAcxRujkQ99AS9MX2Cz7ba2uyRDhGQqEbwmXfsfFFm7dIDx0jcXIyYnOTfnd05yBujSeQcI3VESU0L5wzZWOqiYESpjQk9iF6hPpZBRSlLeQ4Ou2xJCMy6Ta9RjeZaQVMo--n72xtYWDC4Pbh29jcYLPGva4I_Q4TmE2odGOQ3Y13ihA4Czbo3LcbHE1mGF57497NTeeoc_7X6Dp3a9wfMAR7WDM_biXdQ1_uMERgFO4fMYLn6Lww26qtWug9uzD9H75HFZTKPy9WlWjMpIp0TsI80pA1kZIitIVKIrTXKhTJZqzYWhlFSGihyUyDOWKM6EzlWS5YYk3AhhMjZE93-97aFqwKzaYBsVvlb_X7Af0bVimA |
CitedBy_id | crossref_primary_10_1016_j_jacr_2022_10_010 crossref_primary_10_1136_bmjopen_2023_079080 crossref_primary_10_1016_j_crad_2019_08_005 crossref_primary_10_1111_crj_13597 crossref_primary_10_1016_j_acra_2023_02_033 crossref_primary_10_1016_j_ejrad_2021_109988 crossref_primary_10_3390_biomedicines13010130 crossref_primary_10_1016_j_yacr_2019_04_003 crossref_primary_10_1186_s40644_024_00716_5 crossref_primary_10_2147_CMAR_S357385 crossref_primary_10_3389_fonc_2022_1011712 crossref_primary_10_1016_j_jncc_2022_09_004 crossref_primary_10_1016_j_hlc_2018_08_015 crossref_primary_10_1007_s00330_023_10049_9 crossref_primary_10_1038_s41598_020_74082_0 crossref_primary_10_3389_fonc_2024_1334504 crossref_primary_10_1097_CM9_0000000000002353 crossref_primary_10_1186_s12885_020_07465_1 crossref_primary_10_1016_j_jtho_2023_01_094 crossref_primary_10_3390_diagnostics13162674 crossref_primary_10_1016_j_jtho_2020_03_001 crossref_primary_10_1097_MD_0000000000026901 crossref_primary_10_1148_rycan_2020190058 crossref_primary_10_1016_j_acra_2020_01_019 crossref_primary_10_1016_j_jtho_2023_06_014 crossref_primary_10_1097_CEJ_0000000000000569 crossref_primary_10_2147_CMAR_S327646 crossref_primary_10_1016_j_acra_2018_06_002 crossref_primary_10_3390_diagnostics12051064 crossref_primary_10_3390_jpm12010026 crossref_primary_10_1038_s41598_019_56025_6 crossref_primary_10_1016_j_acra_2019_05_005 crossref_primary_10_1080_07853890_2025_2478321 crossref_primary_10_2147_CMAR_S246609 crossref_primary_10_1038_s41598_020_79690_4 |
ContentType | Journal Article |
Copyright | Copyright © 2018 The Association of University Radiologists. Published by Elsevier Inc. All rights reserved. |
Copyright_xml | – notice: Copyright © 2018 The Association of University Radiologists. Published by Elsevier Inc. All rights reserved. |
DBID | CGR CUY CVF ECM EIF NPM |
DOI | 10.1016/j.acra.2018.01.012 |
DatabaseName | Medline MEDLINE MEDLINE (Ovid) MEDLINE MEDLINE PubMed |
DatabaseTitle | MEDLINE Medline Complete MEDLINE with Full Text PubMed MEDLINE (Ovid) |
DatabaseTitleList | MEDLINE |
Database_xml | – sequence: 1 dbid: NPM name: PubMed url: https://proxy.k.utb.cz/login?url=http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed sourceTypes: Index Database – sequence: 2 dbid: EIF name: MEDLINE url: https://proxy.k.utb.cz/login?url=https://www.webofscience.com/wos/medline/basic-search sourceTypes: Index Database |
DeliveryMethod | no_fulltext_linktorsrc |
Discipline | Medicine |
EISSN | 1878-4046 |
ExternalDocumentID | 29530488 |
Genre | Research Support, Non-U.S. Gov't Journal Article |
GeographicLocations | Taiwan |
GeographicLocations_xml | – name: Taiwan |
GroupedDBID | --- --K .1- .FO .GJ 0R~ 1B1 1P~ 23M 4.4 457 53G 5GY 5RE 5VS AAEDT AAEDW AALRI AAQFI AAQXK AAWTL AAXUO ABJNI ABMAC ABWVN ACGFS ACRPL ADBBV ADMUD ADNMO AENEX AEVXI AFCTW AFFNX AFJKZ AFRHN AFTJW AITUG AJUYK ALMA_UNASSIGNED_HOLDINGS AMRAJ ASPBG AVWKF AZFZN BELOY C5W CGR CS3 CUY CVF EBS ECM EFJIC EIF EJD F5P FDB FEDTE FGOYB G-Q HVGLF HZ~ IHE J1W KOM M41 MO0 NPM NQ- O9- OI~ OU0 P2P R2- ROL RPZ SEL SES SEW SJN SSZ UHS XH2 Z5R ZGI ZXP |
ID | FETCH-LOGICAL-c407t-c612e8bd08be3a3cbc097ad54cc67d110bd179ea79523a627c9a359d036d77d52 |
IngestDate | Thu Apr 03 07:00:06 EDT 2025 |
IsPeerReviewed | true |
IsScholarly | true |
Issue | 10 |
Keywords | Screening diagnosis low-dose CT (LDCT) sensitivity and specificity lung adenocarcinoma |
Language | English |
License | Copyright © 2018 The Association of University Radiologists. Published by Elsevier Inc. All rights reserved. |
LinkModel | OpenURL |
MergedId | FETCHMERGED-LOGICAL-c407t-c612e8bd08be3a3cbc097ad54cc67d110bd179ea79523a627c9a359d036d77d52 |
PMID | 29530488 |
ParticipantIDs | pubmed_primary_29530488 |
PublicationCentury | 2000 |
PublicationDate | 2018-10-00 |
PublicationDateYYYYMMDD | 2018-10-01 |
PublicationDate_xml | – month: 10 year: 2018 text: 2018-10-00 |
PublicationDecade | 2010 |
PublicationPlace | United States |
PublicationPlace_xml | – name: United States |
PublicationTitle | Academic radiology |
PublicationTitleAlternate | Acad Radiol |
PublicationYear | 2018 |
References | 30017500 - Acad Radiol. 2018 Oct;25(10):1237-1239 |
References_xml | – reference: 30017500 - Acad Radiol. 2018 Oct;25(10):1237-1239 |
SSID | ssj0015683 |
Score | 2.4059746 |
Snippet | We proposed a modification of the ACR Lung Imaging Reporting and Data System (Lung-RADS) to clarify the characteristics of subsolid nodules with categories... |
SourceID | pubmed |
SourceType | Index Database |
StartPage | 1240 |
SubjectTerms | Adenocarcinoma - diagnostic imaging Adenocarcinoma - epidemiology Adenocarcinoma - pathology Adult Aged Aged, 80 and over Asian Continental Ancestry Group Cohort Studies Data Systems Early Detection of Cancer Female Humans Lung Neoplasms - diagnostic imaging Lung Neoplasms - epidemiology Lung Neoplasms - pathology Male Middle Aged Prevalence Radiology Information Systems Retrospective Studies Sensitivity and Specificity Taiwan Tomography, X-Ray Computed |
Title | Modified Lung-RADS Improves Performance of Screening LDCT in a Population with High Prevalence of Non-smoking-related Lung Cancer |
URI | https://www.ncbi.nlm.nih.gov/pubmed/29530488 |
Volume | 25 |
hasFullText | |
inHoldings | 1 |
isFullTextHit | |
isPrint | |
link | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV3Pb9MwFLa6ISEuaGzAgIF84FZ5ShM7cY5Tt6mCdULQSbtNju1IQVoytc2FG_8Ifyvv2U4aqiJ-XKLITuwo78vz85fv2YS8VzrOeco107FQjHOYpxRga2aLkktwmIAZTBSeX6ezG_7hVtyORj8GqqV2XZzqbzvzSv7HqlAGdsUs2X-wbN8oFMA52BeOYGE4_pWN542pSowhr-CTZZ_Pzr-MPUlgVyht7zMCMDFFo8DGpTSdTxfIcqjxp37zLk_HouYDNRnwiDbcdt3UbHXfIJ_OXNpL6Gw8xYaXw9C2V9ovlal-Ietnq9aNcG3FFt1I6cgC72cuavaxtVU_PLRezg89Dq_2xU6fEpjdwFVMZK96g6HG-1cJYOBRYB2DA_aZzx3QooE7heAj2unnPeXwFTC3xMWjJtKtveoF2QPDP9w7y8e5SNBT_bl2a-3trmqP7MEsBLdVRS4o_KMSqUxCGpZXDG4_DC40HRrYmrS44GVxQJ6GWQc98xB6Rka2PiSP50FXcUS-d0iiPZJohyQ6QBJtStojiSKSaFVTRTdIoogkikiiGyThbTuQ5DqjHknPyc3lxWI6Y2FzDqZ5lK2ZhtDYysJEsrCJSnShozxTRnCt08xAUFkY8PVWZbmIE5XGmc5VInIDEZPJMiPiF2S_bmp7TOjE8iiHQFNLCM6tmag0FTpWRqYJTH_z8hV56V_e3YNfgeWue62vf1vzhjzZAPCEPCrhk7dvIX5cF--cGX8C-lxuRQ |
linkProvider | National Library of Medicine |
openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Modified+Lung-RADS+Improves+Performance+of+Screening+LDCT+in+a+Population+with+High+Prevalence+of+Non-smoking-related+Lung+Cancer&rft.jtitle=Academic+radiology&rft.au=Hsu%2C+Hui-Ting&rft.au=Tang%2C+En-Kuei&rft.au=Wu%2C+Ming-Ting&rft.au=Wu%2C+Carol+C&rft.date=2018-10-01&rft.eissn=1878-4046&rft.volume=25&rft.issue=10&rft.spage=1240&rft_id=info:doi/10.1016%2Fj.acra.2018.01.012&rft_id=info%3Apmid%2F29530488&rft_id=info%3Apmid%2F29530488&rft.externalDocID=29530488 |