Literature DB >> 30050767

Lung cancer screening: nodule identification and characterization.

Ioannis Vlahos1, Konstantinos Stefanidis2, Sarah Sheard3, Arjun Nair4, Charles Sayer5, Joanne Moser1.   

Abstract

The accurate identification and characterization of small pulmonary nodules at low-dose CT is an essential requirement for the implementation of effective lung cancer screening. Individual reader detection performance is influenced by nodule characteristics and technical CT parameters but can be improved by training, the application of CT techniques, and by computer-aided techniques. However, the evaluation of nodule detection in lung cancer screening trials differs from the assessment of individual readers as it incorporates multiple readers, their inter-observer variability, reporting thresholds, and reflects the program accuracy in identifying lung cancer. Understanding detection and interpretation errors in screening trials aids in the implementation of lung cancer screening in clinical practice. Indeed, as CT screening moves to ever lower radiation doses, radiologists must be cognisant of new technical challenges in nodule assessment. Screen detected lung cancers demonstrate distinct morphological features from incidentally or symptomatically detected lung cancers. Hence characterization of screen detected nodules requires an awareness of emerging concepts in early lung cancer appearances and their impact on radiological assessment and malignancy prediction models. Ultimately many nodules remain indeterminate, but further imaging evaluation can be appropriate with judicious utilization of contrast enhanced CT or MRI techniques or functional evaluation by PET-CT.

Entities:  

Keywords:  Positron emission tomography-computed tomography (PET-CT); computer-aided detection (CAD); dynamic contrast CT; dynamic contrast magnetic resonance imaging (MRI); early lung cancer; lung cancer screening; maximum intensity projections (MIPs); missed nodules; nodule characterization; nodule detection; nodule enhancement study; reader sensitivity; risk models; screening sensitivity

Year:  2018        PMID: 30050767      PMCID: PMC6037968          DOI: 10.21037/tlcr.2018.05.02

Source DB:  PubMed          Journal:  Transl Lung Cancer Res        ISSN: 2218-6751


  90 in total

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Review 4.  Small pulmonary nodules in baseline and incidence screening rounds of low-dose CT lung cancer screening.

Authors:  Joan E Walter; Marjolein A Heuvelmans; Matthijs Oudkerk
Journal:  Transl Lung Cancer Res       Date:  2017-02

5.  Diagnostic performance of low-dose computed tomography screening for lung cancer over five years.

Authors:  Giulia Veronesi; Patrick Maisonneuve; Lorenzo Spaggiari; Cristiano Rampinelli; Alessandro Pardolesi; Raffaella Bertolotti; Niccolò Filippi; Massimo Bellomi
Journal:  J Thorac Oncol       Date:  2014-07       Impact factor: 15.609

6.  Lung cancer associated with cystic airspaces.

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Journal:  J Comput Assist Tomogr       Date:  2015 Jan-Feb       Impact factor: 1.826

Review 7.  Lung nodule and cancer detection in computed tomography screening.

Authors:  Geoffrey D Rubin
Journal:  J Thorac Imaging       Date:  2015-03       Impact factor: 3.000

8.  Characteristics of lung cancers detected by computer tomography screening in the randomized NELSON trial.

Authors:  Nanda Horeweg; Carlijn M van der Aalst; Erik Thunnissen; Kristiaan Nackaerts; Carla Weenink; Harry J M Groen; Jan-Willem J Lammers; Joachim G Aerts; Ernst T Scholten; Joost van Rosmalen; Willem Mali; Matthijs Oudkerk; Harry J de Koning
Journal:  Am J Respir Crit Care Med       Date:  2013-04-15       Impact factor: 21.405

9.  Projected outcomes using different nodule sizes to define a positive CT lung cancer screening examination.

Authors:  David S Gierada; Paul Pinsky; Hrudaya Nath; Caroline Chiles; Fenghai Duan; Denise R Aberle
Journal:  J Natl Cancer Inst       Date:  2014-10-18       Impact factor: 13.506

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Authors:  P Lo; S Young; H J Kim; M S Brown; M F McNitt-Gray
Journal:  Med Phys       Date:  2016-08       Impact factor: 4.071

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  11 in total

Review 1.  Lung cancer LDCT screening and mortality reduction - evidence, pitfalls and future perspectives.

Authors:  Matthijs Oudkerk; ShiYuan Liu; Marjolein A Heuvelmans; Joan E Walter; John K Field
Journal:  Nat Rev Clin Oncol       Date:  2020-10-12       Impact factor: 66.675

2.  The feasibility of navigation bronchoscopy-guided pulmonary microcoil localization of small pulmonary nodules prior to thoracoscopic surgery.

Authors:  Junxiang Chen; Xufeng Pan; Chuanjia Gu; Xiaoxuan Zheng; Haibin Yuan; Jun Yang; Jiayuan Sun
Journal:  Transl Lung Cancer Res       Date:  2020-12

Review 3.  Latest CT technologies in lung cancer screening: protocols and radiation dose reduction.

Authors:  Marleen Vonder; Monique D Dorrius; Rozemarijn Vliegenthart
Journal:  Transl Lung Cancer Res       Date:  2021-02

4.  Intravenous patient-controlled analgesia plus psychoeducational intervention for acute postoperative pain in patients with pulmonary nodules after thoracoscopic surgery: a retrospective cohort study.

Authors:  Sha Li; Xian Ding; Yong Zhao; Xiao Chen; Jianfeng Huang
Journal:  BMC Anesthesiol       Date:  2021-11-13       Impact factor: 2.217

Review 5.  Noninvasive biomarkers for lung cancer diagnosis, where do we stand?

Authors:  Michael N Kammer; Pierre P Massion
Journal:  J Thorac Dis       Date:  2020-06       Impact factor: 3.005

6.  2019 American Thoracic Society BEAR Cage Winning Proposal: Lung Imaging Using High-Performance Low-Field Magnetic Resonance Imaging.

Authors:  Adrienne E Campbell-Washburn
Journal:  Am J Respir Crit Care Med       Date:  2020-06-01       Impact factor: 21.405

7.  Comparison of the diagnostic accuracy of diffusion-weighted magnetic resonance imaging and positron emission tomography/computed tomography in pulmonary nodules: a prospective study.

Authors:  Tuba Selcuk Can; Gulfidan Uzan
Journal:  Pol J Radiol       Date:  2019-11-27

8.  Development and clinical application of deep learning model for lung nodules screening on CT images.

Authors:  Sijia Cui; Shuai Ming; Yi Lin; Fanghong Chen; Qiang Shen; Hui Li; Gen Chen; Xiangyang Gong; Haochu Wang
Journal:  Sci Rep       Date:  2020-08-12       Impact factor: 4.379

9.  EGFR-specific single-chain variable fragment antibody-conjugated Fe3O4/Au nanoparticles as an active MRI contrast agent for NSCLC.

Authors:  Yuan Lu; Jing Huang; Fakai Li; Yuan Wang; Ming Ding; Jian Zhang; Hong Yin; Rui Zhang; Xinling Ren
Journal:  MAGMA       Date:  2021-02-24       Impact factor: 2.310

10.  Lung cancer associated with cystic airspaces: CT and pathological features.

Authors:  Xinfu Pan; Huan Wang; Hang Yu; Zhijun Chen; Zhaoye Wang; Lie Wang; Jun Chen
Journal:  Transl Cancer Res       Date:  2020-06       Impact factor: 1.241

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