Literature DB >> 29261826

Communication About the Probability of Cancer in Indeterminate Pulmonary Nodules.

Amelia W Maiga1,2, Stephen A Deppen1,2, Pierre P Massion3,4, Carol Callaway-Lane3, Rhonda Pinkerman5, Robert S Dittus1, Eric S Lambright5,2, Jonathan C Nesbitt5,2, Eric L Grogan5,2.   

Abstract

Importance: Clinical guidelines recommend that clinicians estimate the probability of malignancy for patients with indeterminate pulmonary nodules (IPNs) larger than 8 mm. Adherence to these guidelines is unknown.
Objectives: To determine whether clinicians document the probability of malignancy in high-risk IPNs and to compare these quantitative or qualitative predictions with the validated Mayo Clinic Model. Design, Setting, and Participants: Single-institution, retrospective cohort study of patients from a tertiary care Department of Veterans Affairs hospital from January 1, 2003, through December 31, 2015. Cohort 1 included 291 veterans undergoing surgical resection of known or suspected lung cancer from January 1, 2003, through December 31, 2015. Cohort 2 included a random sample of 239 veterans undergoing inpatient or outpatient pulmonary evaluation of IPNs at the hospital from January 1, 2003, through December 31, 2012. Exposures: Clinician documentation of the quantitative or qualitative probability of malignancy. Main Outcomes and Measures: Documentation from pulmonary and/or thoracic surgery clinicians as well as information from multidisciplinary tumor board presentations was reviewed. Any documented quantitative or qualitative predictions of malignancy were extracted and summarized using descriptive statistics. Clinicians' predictions were compared with risk estimates from the Mayo Clinic Model.
Results: Of 291 patients in cohort 1, 282 (96.9%) were men; mean (SD) age was 64.6 (9.0) years. Of 239 patients in cohort 2, 233 (97.5%) were men; mean (SD) age was 65.5 (10.8) years. Cancer prevalence was 258 of 291 cases (88.7%) in cohort 1 and 110 of 225 patients with a definitive diagnosis (48.9%) in cohort 2. Only 13 patients (4.5%) in cohort 1 and 3 (1.3%) in cohort 2 had a documented quantitative prediction of malignancy prior to tissue diagnosis. Of the remaining patients, 217 of 278 (78.1%) in cohort 1 and 149 of 236 (63.1%) in cohort 2 had qualitative statements of cancer risk. In cohort 2, 23 of 79 patients (29.1%) without any documented malignancy risk statements had a final diagnosis of cancer. Qualitative risk statements were distributed among 32 broad categories. The most frequently used statements aligned well with Mayo Clinic Model predictions for cohort 1 compared with cohort 2. The median Mayo Clinic Model-predicted probability of cancer was 68.7% (range, 2.4%-100.0%). Qualitative risk statements roughly aligned with Mayo predictions. Conclusions and Relevance: Clinicians rarely provide quantitative documentation of cancer probability for high-risk IPNs, even among patients drawn from a broad range of cancer probabilities. Qualitative statements of cancer risk in current practice are imprecise and highly variable. A standard scale that correlates with predicted cancer risk for IPNs should be used to communicate with patients and other clinicians.

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Year:  2018        PMID: 29261826      PMCID: PMC5910256          DOI: 10.1001/jamasurg.2017.4878

Source DB:  PubMed          Journal:  JAMA Surg        ISSN: 2168-6254            Impact factor:   14.766


  22 in total

1.  Recent Trends in the Identification of Incidental Pulmonary Nodules.

Authors:  Michael K Gould; Tania Tang; In-Lu Amy Liu; Janet Lee; Chengyi Zheng; Kim N Danforth; Anne E Kosco; Jamie L Di Fiore; David E Suh
Journal:  Am J Respir Crit Care Med       Date:  2015-11-15       Impact factor: 21.405

2.  Offering a prognosis in lung cancer: when is a team of experts an expert team?

Authors:  F Kee; T Owen; R Leathem
Journal:  J Epidemiol Community Health       Date:  2007-04       Impact factor: 3.710

3.  Decision making among Veterans with incidental pulmonary nodules: a qualitative analysis.

Authors:  Christopher G Slatore; David H Au; Nancy Press; Renda Soylemez Wiener; Sara E Golden; Linda Ganzini
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4.  Association of patient-provider communication domains with lung cancer treatment.

Authors:  Jenny J Lin; Jessica Lake; Melanie M Wall; Andrew R Berman; John Salazar-Schicchi; Charles Powell; Steven M Keller; Ethan A Halm; Howard Leventhal; Juan P Wisnivesky
Journal:  J Thorac Oncol       Date:  2014-09       Impact factor: 15.609

5.  A qualitative analysis of lung cancer screening practices by primary care physicians.

Authors:  Susan Henderson; Amy DeGroff; Thomas B Richards; Julia Kish-Doto; Cindy Soloe; Christina Heminger; Elizabeth Rohan
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Review 6.  Using Clinical Risk Models for Lung Nodule Classification.

Authors:  Stephen A Deppen; Eric L Grogan
Journal:  Semin Thorac Cardiovasc Surg       Date:  2015-04-07

7.  The probability of malignancy in solitary pulmonary nodules. Application to small radiologically indeterminate nodules.

Authors:  S J Swensen; M D Silverstein; D M Ilstrup; C D Schleck; E S Edell
Journal:  Arch Intern Med       Date:  1997-04-28

8.  Incidentally detected lung nodules: clinical predictors of adherence to Fleischner Society surveillance guidelines.

Authors:  Carole A Ridge; Brian D Hobbs; Bolanle A Bukoye; Mark D Aronson; Phillip M Boiselle; Daniel A Leffler; Scot B Sternberg; David H Roberts
Journal:  J Comput Assist Tomogr       Date:  2014 Jan-Feb       Impact factor: 1.826

9.  Primary Care Provider and Patient Perspectives on Lung Cancer Screening. A Qualitative Study.

Authors:  Neeti M Kanodra; Charlene Pope; Chanita H Halbert; Gerard A Silvestri; LaShanta J Rice; Nichole T Tanner
Journal:  Ann Am Thorac Soc       Date:  2016-11

10.  Prevalence and variables associated with solitary pulmonary nodules in a routine clinic-based population: a cross-sectional study.

Authors:  N Gómez-Sáez; I González-Álvarez; J Vilar; I Hernández-Aguado; M L Domingo; M F Lorente; M Pastor-Valero; L A Parker; N Picazo; J Calbo; B Lumbreras
Journal:  Eur Radiol       Date:  2014-06-25       Impact factor: 5.315

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  4 in total

1.  Post-imaging pulmonary nodule mathematical prediction models: are they clinically relevant?

Authors:  Johanna Uthoff; Nicholas Koehn; Jared Larson; Samantha K N Dilger; Emily Hammond; Ann Schwartz; Brian Mullan; Rolando Sanchez; Richard M Hoffman; Jessica C Sieren
Journal:  Eur Radiol       Date:  2019-04-01       Impact factor: 5.315

2.  The Intervention Probability Curve: Modeling the Practical Application of Threshold-Guided Decision-Making, Evaluated in Lung, Prostate, and Ovarian Cancers.

Authors:  Michael N Kammer; Dianna J Rowe; Stephen A Deppen; Eric L Grogan; Alexander M Kaizer; Anna E Barón; Fabien Maldonado
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2022-09-02       Impact factor: 4.090

3.  Integrated Biomarkers for the Management of Indeterminate Pulmonary Nodules.

Authors:  Michael N Kammer; Dhairya A Lakhani; Aneri B Balar; Sanja L Antic; Amanda K Kussrow; Rebekah L Webster; Shayan Mahapatra; Udaykamal Barad; Chirayu Shah; Thomas Atwater; Brenda Diergaarde; Jun Qian; Alexander Kaizer; Melissa New; Erin Hirsch; William J Feser; Jolene Strong; Matthew Rioth; York E Miller; Yoganand Balagurunathan; Dianna J Rowe; Sherif Helmey; Sheau-Chiann Chen; Joseph Bauza; Stephen A Deppen; Kim Sandler; Fabien Maldonado; Avrum Spira; Ehab Billatos; Matthew B Schabath; Robert J Gillies; David O Wilson; Ronald C Walker; Bennett Landman; Heidi Chen; Eric L Grogan; Anna E Barón; Darryl J Bornhop; Pierre P Massion
Journal:  Am J Respir Crit Care Med       Date:  2021-12-01       Impact factor: 30.528

4.  Assessing the Accuracy of a Deep Learning Method to Risk Stratify Indeterminate Pulmonary Nodules.

Authors:  Pierre P Massion; Sanja Antic; Sarim Ather; Carlos Arteta; Jan Brabec; Heidi Chen; Jerome Declerck; David Dufek; William Hickes; Timor Kadir; Jonas Kunst; Bennett A Landman; Reginald F Munden; Petr Novotny; Heiko Peschl; Lyndsey C Pickup; Catarina Santos; Gary T Smith; Ambika Talwar; Fergus Gleeson
Journal:  Am J Respir Crit Care Med       Date:  2020-07-15       Impact factor: 21.405

  4 in total

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