Baseline and annual repeat rounds of screening: implications for optimal regimens of screening.

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Title: Baseline and annual repeat rounds of screening: implications for optimal regimens of screening.
Authors: Henschke, Claudia I.1 Claudia.Henschke@mountsinai.org, Salvatore, Mary1, Cham, Matthew1, Powell, Charles A.2, DiFabrizio, Larry2, Flores, Raja3, Kaufman, Andrew3, Eber, Corey1, Yip, Rowena1, Yankelevitz, David F.1, International Early Lung Cancer Action Program Investigators
Source: European Radiology. Mar2018, Vol. 28 Issue 3, p1085-1094. 10p. 4 Charts, 1 Graph.
Subjects: Computed tomography, Lung cancer, Cancer cells, Cancer treatment, Medical screening
Abstract: Objectives: Differences in results of baseline and subsequent annual repeat rounds provide important information for optimising the regimen of screening.Methods: A prospective cohort study of 65,374 was reviewed to examine the frequency/percentages of the largest noncalcified nodule (NCN), lung cancer cell types and Kaplan-Meier (K-M) survival rates, separately for baseline and annual rounds.Results: Of 65,374 baseline screenings, NCNs were identified in 28,279 (43.3%); lung cancer in 737 (1.1%). Of 74,482 annual repeat screenings, new NCNs were identified in 4959 (7%); lung cancer in 179 (0.24%). Only adenocarcinoma was diagnosed in subsolid NCNs. Percentages of lung cancers by cell type were significantly different (p < 0.0001) in the baseline round compared with annual rounds, reflecting length bias, as were the ratios, reflecting lead times. Long-term K-M survival rate was 100% for typical carcinoids and for adenocarcinomas manifesting as subsolid NCNs; 85% (95% CI 81-89%) for adenocarcinoma, 74% (95% CI 63-85%) for squamous cell, 48% (95% CI 34-62%) for small cell. The rank ordering by lead time was the same as the rank ordering by survival rates.Conclusions: The significant differences in the frequency of NCNs and frequency and aggressiveness of diagnosed cancers in baseline and annual repeat need to be recognised for an optimal regimen of screening.Key Points: • Lung cancer aggressiveness varies considerably by cell type and nodule consistency. • Kaplan-Meier survival rates varied by cell type between 100% and 48%. • The percentages of lung cancers by cell type in screening rounds reflect screening biases. • Rank ordering by cell type survival is consistent with that by lead times. • Empirical evidence provides critical information for the regimen of screening. [ABSTRACT FROM AUTHOR]
Copyright of European Radiology is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: Baseline and annual repeat rounds of screening: implications for optimal regimens of screening.
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  Data: &lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Henschke%2C+Claudia+I%2E%22&quot;&gt;Henschke, Claudia I.&lt;/searchLink&gt;&lt;relatesTo&gt;1&lt;/relatesTo&gt;&lt;i&gt; Claudia.Henschke@mountsinai.org&lt;/i&gt;&lt;br /&gt;&lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Salvatore%2C+Mary%22&quot;&gt;Salvatore, Mary&lt;/searchLink&gt;&lt;relatesTo&gt;1&lt;/relatesTo&gt;&lt;br /&gt;&lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Cham%2C+Matthew%22&quot;&gt;Cham, Matthew&lt;/searchLink&gt;&lt;relatesTo&gt;1&lt;/relatesTo&gt;&lt;br /&gt;&lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Powell%2C+Charles+A%2E%22&quot;&gt;Powell, Charles A.&lt;/searchLink&gt;&lt;relatesTo&gt;2&lt;/relatesTo&gt;&lt;br /&gt;&lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22DiFabrizio%2C+Larry%22&quot;&gt;DiFabrizio, Larry&lt;/searchLink&gt;&lt;relatesTo&gt;2&lt;/relatesTo&gt;&lt;br /&gt;&lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Flores%2C+Raja%22&quot;&gt;Flores, Raja&lt;/searchLink&gt;&lt;relatesTo&gt;3&lt;/relatesTo&gt;&lt;br /&gt;&lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Kaufman%2C+Andrew%22&quot;&gt;Kaufman, Andrew&lt;/searchLink&gt;&lt;relatesTo&gt;3&lt;/relatesTo&gt;&lt;br /&gt;&lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Eber%2C+Corey%22&quot;&gt;Eber, Corey&lt;/searchLink&gt;&lt;relatesTo&gt;1&lt;/relatesTo&gt;&lt;br /&gt;&lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Yip%2C+Rowena%22&quot;&gt;Yip, Rowena&lt;/searchLink&gt;&lt;relatesTo&gt;1&lt;/relatesTo&gt;&lt;br /&gt;&lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Yankelevitz%2C+David+F%2E%22&quot;&gt;Yankelevitz, David F.&lt;/searchLink&gt;&lt;relatesTo&gt;1&lt;/relatesTo&gt;&lt;br /&gt;&lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22International+Early+Lung+Cancer+Action+Program+Investigators%22&quot;&gt;International Early Lung Cancer Action Program Investigators&lt;/searchLink&gt;
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  Data: &lt;searchLink fieldCode=&quot;JN&quot; term=&quot;%22European+Radiology%22&quot;&gt;European Radiology&lt;/searchLink&gt;. Mar2018, Vol. 28 Issue 3, p1085-1094. 10p. 4 Charts, 1 Graph.
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  Data: &lt;searchLink fieldCode=&quot;DE&quot; term=&quot;%22Computed+tomography%22&quot;&gt;Computed tomography&lt;/searchLink&gt;&lt;br /&gt;&lt;searchLink fieldCode=&quot;DE&quot; term=&quot;%22Lung+cancer%22&quot;&gt;Lung cancer&lt;/searchLink&gt;&lt;br /&gt;&lt;searchLink fieldCode=&quot;DE&quot; term=&quot;%22Cancer+cells%22&quot;&gt;Cancer cells&lt;/searchLink&gt;&lt;br /&gt;&lt;searchLink fieldCode=&quot;DE&quot; term=&quot;%22Cancer+treatment%22&quot;&gt;Cancer treatment&lt;/searchLink&gt;&lt;br /&gt;&lt;searchLink fieldCode=&quot;DE&quot; term=&quot;%22Medical+screening%22&quot;&gt;Medical screening&lt;/searchLink&gt;
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  Data: &lt;bold&gt;Objectives: &lt;/bold&gt;Differences in results of baseline and subsequent annual repeat rounds provide important information for optimising the regimen of screening.&lt;bold&gt;Methods: &lt;/bold&gt;A prospective cohort study of 65,374 was reviewed to examine the frequency/percentages of the largest noncalcified nodule (NCN), lung cancer cell types and Kaplan-Meier (K-M) survival rates, separately for baseline and annual rounds.&lt;bold&gt;Results: &lt;/bold&gt;Of 65,374 baseline screenings, NCNs were identified in 28,279 (43.3%); lung cancer in 737 (1.1%). Of 74,482 annual repeat screenings, new NCNs were identified in 4959 (7%); lung cancer in 179 (0.24%). Only adenocarcinoma was diagnosed in subsolid NCNs. Percentages of lung cancers by cell type were significantly different (p &lt; 0.0001) in the baseline round compared with annual rounds, reflecting length bias, as were the ratios, reflecting lead times. Long-term K-M survival rate was 100% for typical carcinoids and for adenocarcinomas manifesting as subsolid NCNs; 85% (95% CI 81-89%) for adenocarcinoma, 74% (95% CI 63-85%) for squamous cell, 48% (95% CI 34-62%) for small cell. The rank ordering by lead time was the same as the rank ordering by survival rates.&lt;bold&gt;Conclusions: &lt;/bold&gt;The significant differences in the frequency of NCNs and frequency and aggressiveness of diagnosed cancers in baseline and annual repeat need to be recognised for an optimal regimen of screening.&lt;bold&gt;Key Points: &lt;/bold&gt;• Lung cancer aggressiveness varies considerably by cell type and nodule consistency. • Kaplan-Meier survival rates varied by cell type between 100% and 48%. • The percentages of lung cancers by cell type in screening rounds reflect screening biases. • Rank ordering by cell type survival is consistent with that by lead times. • Empirical evidence provides critical information for the regimen of screening. [ABSTRACT FROM AUTHOR]
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  Data: &lt;i&gt;Copyright of European Radiology is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder&#39;s express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.&lt;/i&gt; (Copyright applies to all Abstracts.)
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        Value: 10.1007/s00330-017-5029-z
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        Type: general
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