Incidental Pulmonary Nodules - What Do We Know in 2022

Lung cancer (LC) is the leading cause of cancer-related mortality worldwide, and early LC diagnosis can significantly improve outcomes and survival rates in affected patients. Implementation of LC screening programs using low-dose computed tomography CT in high-risk subjects aims to detect LC as early as possible, but so far, adoption of screening programs into routine clinical care has been very slow. In recent years, the use of CT has significantly increased the rate of incidentally detected pulmonary nodules. Although most of those incidental pulmonary nodules (IPNs) are benign, some of them represent early-stage LC. Given the large number of IPNs detected in the range of several millions each year, this represents an additional, maybe even larger, opportunity to drive stage shift in LC diagnosis, next to LC screening programs. Comprehensive evaluation and targeted work-up of IPNs are mandatory to identify the malignant nodules from the crowd, and several guidelines provide radiologists and physicians’ guidance on IPN assessment and management. However, IPNs still seem to be inadequately processed due to various reasons including insufficient reporting in the radiological report, missing communication between stakeholders, absence of patient tracking systems, and uncertainty regarding responsibilities for the IPN management. In recent years, several approaches such as lung nodule programs, patient tracking software, artificial intelligence, and communication software were introduced into clinical practice to address those shortcomings. This review evaluates the current situation of IPN management and highlights recent developments in process improvement to achieve first steps toward stage shift in LC diagnosis.

[1]  R. Osarogiagbon,et al.  Lung Cancer Diagnosed Through Screening, Lung Nodule, and Neither Program: A Prospective Observational Study of the Detecting Early Lung Cancer (DELUGE) in the Mississippi Delta Cohort , 2022, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.

[2]  J. Ko,et al.  Incidental Lung Nodules on Cross-sectional Imaging: Current Reporting and Management. , 2021, Radiologic clinics of North America.

[3]  P. Massion,et al.  Prediction of adenocarcinoma among other subtypes of lung cancer from CT using deep learning. , 2021 .

[4]  R. Osarogiagbon,et al.  Early detection of lung cancer with an incidental lung nodule program (ILNP). , 2021 .

[5]  R. Munden,et al.  An Artificial Intelligence Lung Cancer Prediction Tool Improves Clinicians' Risk Assessment of Indeterminate Pulmonary Nodules , 2021 .

[6]  P. Zelarney,et al.  Improvement in Follow-up Imaging With a Patient Tracking System and Computerized Registry for Lung Nodule Management. , 2021, Journal of the American College of Radiology : JACR.

[7]  A. Jemal,et al.  Global Cancer Statistics 2020: GLOBOCAN Estimates of Incidence and Mortality Worldwide for 36 Cancers in 185 Countries , 2021, CA: a cancer journal for clinicians.

[8]  H. Kauczor,et al.  Lung cancer prediction by Deep Learning to identify benign lung nodules. , 2021, Lung cancer.

[9]  E. Kazerooni,et al.  Lung-RADS Version 1.1: Challenges and a Look Ahead, From the AJR Special Series on Radiology Reporting and Data Systems. , 2021, AJR. American journal of roentgenology.

[10]  R. Van Gerpen How I Do It: Creating an Incidental Pulmonary Nodule Safety-Net Program. , 2021, Chest.

[11]  A. Jemal,et al.  Cancer Statistics, 2021 , 2021, CA: a cancer journal for clinicians.

[12]  R. Khorasani,et al.  RADAR: A Closed-Loop Quality Improvement Initiative Leveraging A Safety Net Model for Incidental Pulmonary Nodule Management. , 2020, Joint Commission journal on quality and patient safety.

[13]  Christopher Joy Mathew,et al.  Artificial Intelligence and its future potential in lung cancer screening , 2020, EXCLI journal.

[14]  R. Razzaghi,et al.  A low-dose chest CT protocol for the diagnosis of COVID-19 pneumonia: a prospective study , 2020, Emergency Radiology.

[15]  H. Wang,et al.  Development and clinical application of deep learning model for lung nodules screening on CT images , 2020, Scientific Reports.

[16]  Harry J de Koning,et al.  Reduced Lung-Cancer Mortality with Volume CT Screening in a Randomized Trial. , 2020, The New England journal of medicine.

[17]  Alexis B. Paulson,et al.  Education Level Predicts Appropriate Follow-Up of Incidental Findings From Lung Cancer Screening. , 2020, Journal of the American College of Radiology : JACR.

[18]  G. LeMense,et al.  Development and outcomes of a comprehensive multidisciplinary incidental lung nodule and lung cancer screening program , 2019, BMC Pulmonary Medicine.

[19]  H. Kauczor,et al.  Lung cancer mortality reduction by LDCT screening—Results from the randomized German LUSI trial , 2019, International journal of cancer.

[20]  L. Sequist,et al.  Integrated, Multidisciplinary Management of Pulmonary Nodules Can Streamline Care and Improve Adherence to Recommendations. , 2019, The oncologist.

[21]  A. Melzer,et al.  Implementation of a Standardized Template for Reporting of Incidental Pulmonary Nodules: Feasibility, Acceptability, and Outcomes. , 2019, Journal of the American College of Radiology : JACR.

[22]  B. Zheng,et al.  A deep residual learning network for predicting lung adenocarcinoma manifesting as ground-glass nodule on CT images , 2019, European Radiology.

[23]  M. Gaga,et al.  Lung nodules: A comprehensive review on current approach and management , 2019, Annals of thoracic medicine.

[24]  G. Kloecker,et al.  Lung Cancer Screening Registry Reveals Low-dose CT Screening Remains Heavily Underutilized. , 2019, Clinical lung cancer.

[25]  James R Duncan,et al.  Trends in Use of Medical Imaging in US Health Care Systems and in Ontario, Canada, 2000-2016. , 2019, JAMA.

[26]  G. Corrado,et al.  End-to-end lung cancer screening with three-dimensional deep learning on low-dose chest computed tomography , 2019, Nature Medicine.

[27]  J. Zulueta,et al.  No Apparent Workup for most new Indeterminate Pulmonary Nodules in US Commercially-Insured Patients , 2019, Journal of health economics and outcomes research.

[28]  G. Corrao,et al.  Prolonged lung cancer screening reduced 10-year mortality in the MILD trial: new confirmation of lung cancer screening efficacy , 2019, Annals of oncology : official journal of the European Society for Medical Oncology.

[29]  N. Sverzellati,et al.  Management of incidental pulmonary nodule in CT: a survey by the Italian College of Chest Radiology , 2019, La radiologia medica.

[30]  T. Cook,et al.  National Survey of Hospitalists' Experiences with Incidental Pulmonary Nodules. , 2019, Journal of hospital medicine.

[31]  Ramin Khorasani,et al.  Adoption of a closed loop communication tool to establish and execute a collaborative follow up plan for incidental pulmonary nodules , 2019, AJR. American journal of roentgenology.

[32]  T. Cook,et al.  Patient Factor Disparities in Imaging Follow-Up Rates After Incidental Abdominal Findings. , 2019, AJR. American journal of roentgenology.

[33]  Matthew P. Goetz,et al.  NCCN CLINICAL PRACTICE GUIDELINES IN ONCOLOGY , 2019 .

[34]  A. Davis,et al.  Incidental Pulmonary Nodules Detected on CT Images. , 2018, JAMA.

[35]  B. Hamm,et al.  Extracardiac findings on coronary computed tomography angiography in patients without significant coronary artery disease , 2018, European Radiology.

[36]  D. Ettinger,et al.  Lung Cancer Screening, Version 3.2018, NCCN Clinical Practice Guidelines in Oncology. , 2018, Journal of the National Comprehensive Cancer Network : JNCCN.

[37]  M. Reznek,et al.  System-Level Process Change Improves Communication and Follow-Up for Emergency Department Patients With Incidental Radiology Findings. , 2018, Journal of the American College of Radiology : JACR.

[38]  Ramin Khorasani,et al.  Impact of a Health Information Technology Intervention on the Follow-up Management of Pulmonary Nodules , 2018, Journal of Digital Imaging.

[39]  Lorenzo Bonomo,et al.  Lung nodules: size still matters , 2017, European Respiratory Review.

[40]  C. Schaefer-Prokop Management des pulmonalen Rundherdes , 2017, Radiologie up2date.

[41]  Ahmedin Jemal,et al.  Lung Cancer Screening With Low-Dose Computed Tomography in the United States—2010 to 2015 , 2017, JAMA oncology.

[42]  Caroline Dive,et al.  Progress and prospects of early detection in lung cancer , 2017, Open Biology.

[43]  Ben Wandtke,et al.  Reducing Delay in Diagnosis: Multistage Recommendation Tracking. , 2017, AJR. American journal of roentgenology.

[44]  Jin Mo Goo,et al.  Recommendations for Measuring Pulmonary Nodules at CT: A Statement from the Fleischner Society. , 2017, Radiology.

[45]  T. Rector,et al.  Effect of an Automated Tracking Registry on the Rate of Tracking Failure in Incidental Pulmonary Nodules. , 2017, Journal of the American College of Radiology : JACR.

[46]  Eugenio Paci,et al.  Mortality, survival and incidence rates in the ITALUNG randomised lung cancer screening trial , 2017, Thorax.

[47]  Chi Wan Koo,et al.  Addition of the Fleischner Society Guidelines to Chest CT Examination Interpretive Reports Improves Adherence to Recommended Follow-up Care for Incidental Pulmonary Nodules. , 2017, Academic radiology.

[48]  A. Bankier,et al.  Guidelines for Management of Incidental Pulmonary Nodules Detected on CT Images: From the Fleischner Society 2017. , 2017, Radiology.

[49]  C. Lejeune,et al.  Incidence of solitary pulmonary nodules in Northeastern France: a population-based study in five regions , 2017, BMC Cancer.

[50]  Asger Dirksen,et al.  Results of the Randomized Danish Lung Cancer Screening Trial with Focus on High-Risk Profiling. , 2016, American journal of respiratory and critical care medicine.

[51]  M. Gould,et al.  Recent Trends in the Identification of Incidental Pulmonary Nodules. , 2015, American journal of respiratory and critical care medicine.

[52]  T. Aoki Growth of pure ground-glass lung nodule detected at computed tomography. , 2015, Journal of thoracic disease.

[53]  Sen Jiang,et al.  Analysis of pre‐invasive lung adenocarcinoma lesions on thin‐section computerized tomography , 2015, The clinical respiratory journal.

[54]  M. Prokop,et al.  British Thoracic Society guidelines for the investigation and management of pulmonary nodules: accredited by NICE , 2015, Thorax.

[55]  M. Kusumoto,et al.  Solitary Pure Ground-Glass Nodules 5 mm or Smaller: Frequency of Growth. , 2015, Radiology.

[56]  M. Oudkerk,et al.  Contributions of the European Trials (European Randomized Screening Group) in Computed Tomography Lung Cancer Screening , 2015, Journal of thoracic imaging.

[57]  Mitchell D Schnall,et al.  Assessment of follow-up completeness and notification preferences for imaging findings of possible cancer: what happens after radiologists submit their reports? , 2014, Academic radiology.

[58]  Harry J de Koning,et al.  Lung cancer probability in patients with CT-detected pulmonary nodules: a prespecified analysis of data from the NELSON trial of low-dose CT screening. , 2014, The Lancet. Oncology.

[59]  Katherine P Andriole,et al.  Automated critical test result notification system: architecture, design, and assessment of provider satisfaction. , 2014, AJR. American journal of roentgenology.

[60]  Katherine P Andriole,et al.  Four-year impact of an alert notification system on closed-loop communication of critical test results. , 2014, AJR. American journal of roentgenology.

[61]  Justin Dickerson,et al.  Follow-up of incidental pulmonary nodules and the radiology report. , 2014, Journal of the American College of Radiology : JACR.

[62]  Nilay D Shah,et al.  Trends in Computed Tomography Utilization Rates: A Longitudinal Practice-Based Study , 2014, Journal of patient safety.

[63]  Lisa M. Schwartz,et al.  Using radiology reports to encourage evidence-based practice in the evaluation of small, incidentally detected pulmonary nodules. A preliminary study. , 2014, Annals of the American Thoracic Society.

[64]  Sang Min Lee,et al.  Pulmonary subsolid nodules: what radiologists need to know about the imaging features and management strategy. , 2013, Diagnostic and interventional radiology.

[65]  B. Kramer,et al.  The National Lung Screening Trial: Results stratified by demographics, smoking history, and lung cancer histology , 2013, Cancer.

[66]  T. Mitsudomi,et al.  Management of ground-glass opacities: should all pulmonary lesions with ground-glass opacity be surgically resected? , 2013, Translational lung cancer research.

[67]  S. Lam,et al.  Probability of cancer in pulmonary nodules detected on first screening CT. , 2013, The New England journal of medicine.

[68]  H. D. de Koning,et al.  Volumetric computed tomography screening for lung cancer: three rounds of the NELSON trial , 2013, European Respiratory Journal.

[69]  Ronald L Eisenberg,et al.  Ways to improve radiologists' adherence to Fleischner Society guidelines for management of pulmonary nodules. , 2013, Journal of the American College of Radiology : JACR.

[70]  D. Naidich,et al.  Evaluation of individuals with pulmonary nodules: when is it lung cancer? Diagnosis and management of lung cancer, 3rd ed: American College of Chest Physicians evidence-based clinical practice guidelines. , 2013, Chest.

[71]  B. van Ginneken,et al.  Pulmonary perifissural nodules on CT scans: rapid growth is not a predictor of malignancy. , 2012, Radiology.

[72]  D. Naidich,et al.  Overview and Strategic Management of Subsolid Pulmonary Nodules , 2012, Journal of thoracic imaging.

[73]  Sheila Weinmann,et al.  Use of diagnostic imaging studies and associated radiation exposure for patients enrolled in large integrated health care systems, 1996-2010. , 2012, JAMA.

[74]  D. Berry,et al.  Benefits and harms of CT screening for lung cancer: a systematic review. , 2012, JAMA.

[75]  P. Marcus,et al.  Use of Lung Cancer Screening Tests in the United States: Results from the 2010 National Health Interview Survey , 2012, Cancer Epidemiology, Biomarkers & Prevention.

[76]  Mark Masciocchi,et al.  Quality review: Fleischner criteria adherence by radiologists in a large community hospital. , 2012, Journal of the American College of Radiology : JACR.

[77]  B. van Ginneken,et al.  Computer-aided diagnosis: how to move from the laboratory to the clinic. , 2011, Radiology.

[78]  C. Gatsonis,et al.  Reduced Lung-Cancer Mortality with Low-Dose Computed Tomographic Screening , 2012 .

[79]  A. Sykes,et al.  Impact of A Standardized Recommendation and Electronic Prompts on Follow-Up of Indeterminate Pulmonary Nodules Found on Computed Tomography , 2011, ATS 2011.

[80]  J. Goo A Computer-Aided Diagnosis for Evaluating Lung Nodules on Chest CT: the Current Status and Perspective , 2011, Korean journal of radiology.

[81]  R. Munden,et al.  Small Pulmonary Nodule Management: A Survey of the Members of the Society of Thoracic Radiology With Comparison to the Fleischner Society Guidelines , 2011, Journal of thoracic imaging.

[82]  Ronald L Eisenberg,et al.  Compliance with Fleischner Society guidelines for management of small lung nodules: a survey of 834 radiologists. , 2010, Radiology.

[83]  Erika Avila-Tang,et al.  Lung Cancer in Never Smokers: Clinical Epidemiology and Environmental Risk Factors , 2009, Clinical Cancer Research.

[84]  A. Soubani,et al.  The evaluation and management of the solitary pulmonary nodule , 2008, Postgraduate Medical Journal.

[85]  N. Müller,et al.  Fleischner Society: glossary of terms for thoracic imaging. , 2008, Radiology.

[86]  M. Wahidi,et al.  Evidence for the treatment of patients with pulmonary nodules: when is it lung cancer?: ACCP evidence-based clinical practice guidelines (2nd edition). , 2007, Chest.

[87]  Amit Mehta,et al.  PACS: A Guide to the Digital Revolution , 2005 .

[88]  R. H. Albert,et al.  Evaluation of the solitary pulmonary nodule. , 2009, American family physician.

[89]  S. Swensen,et al.  Lung cancer screening with CT: Mayo Clinic experience. , 2003, Radiology.

[90]  D. Ost,et al.  Clinical practice. The solitary pulmonary nodule. , 2003, The New England journal of medicine.

[91]  O. Miettinen,et al.  CT screening for lung cancer: frequency and significance of part-solid and nonsolid nodules. , 2002, AJR. American journal of roentgenology.

[92]  D. Allison,et al.  Grainger's and Allison's diagnostic radiology , 2001 .

[93]  S. Swensen,et al.  The probability of malignancy in solitary pulmonary nodules. Application to small radiologically indeterminate nodules. , 1997, Archives of internal medicine.

[94]  J. Higginson,et al.  International Agency for Research on Cancer. , 1968, WHO chronicle.

[95]  Lung Cancer Incidence and Mortality with Extended Follow-up in the National Lung Screening Trial , 2022 .