Literature DB >> 26087071

Management of Pulmonary Nodules by Community Pulmonologists: A Multicenter Observational Study.

Nichole T Tanner1, Jyoti Aggarwal2, Michael K Gould3, Paul Kearney4, Gregory Diette5, Anil Vachani6, Kenneth C Fang4, Gerard A Silvestri7.   

Abstract

BACKGROUND: Pulmonary nodules (PNs) are a common reason for referral to pulmonologists. The majority of data for the evaluation and management of PNs is derived from studies performed in academic medical centers. Little is known about the prevalence and diagnosis of PNs, the use of diagnostic testing, or the management of PNs by community pulmonologists.
METHODS: This multicenter observational record review evaluated 377 patients aged 40 to 89 years referred to 18 geographically diverse community pulmonary practices for intermediate PNs (8-20 mm). Study measures included the prevalence of malignancy, procedure/test use, and nodule pretest probability of malignancy as calculated by two previously validated models. The relationship between calculated pretest probability and management decisions was evaluated.
RESULTS: The prevalence of malignancy was 25% (n = 94). Nearly one-half of the patients (46%, n = 175) had surveillance alone. Biopsy was performed on 125 patients (33.2%). A total of 77 patients (20.4%) underwent surgery, of whom 35% (n = 27) had benign disease. PET scan was used in 141 patients (37%). The false-positive rate for PET scan was 39% (95% CI, 27.1%-52.1%). Pretest probability of malignancy calculations showed that 9.5% (n = 36) were at a low risk, 79.6% (n = 300) were at a moderate risk, and 10.8% (n = 41) were at a high risk of malignancy. The rate of surgical resection was similar among the three groups (17%, 21%, 17%, respectively; P = .69).
CONCLUSIONS: A substantial fraction of intermediate-sized nodules referred to pulmonologists ultimately prove to be lung cancer. Despite advances in imaging and nonsurgical biopsy techniques, invasive sampling of low-risk nodules and surgical resection of benign nodules remain common, suggesting a lack of adherence to guidelines for the management of PNs.

Entities:  

Mesh:

Year:  2015        PMID: 26087071      PMCID: PMC4665735          DOI: 10.1378/chest.15-0630

Source DB:  PubMed          Journal:  Chest        ISSN: 0012-3692            Impact factor:   9.410


A pulmonary nodule (PN) is defined as a radiographic opacity ≤ 3 cm in diameter surrounded by lung parenchyma.[1] The prevalence of PNs is unknown, with estimates ranging from 150,000 to 1 million per year in the United States.[2] The identification of PNs may increase over the next decade for several reasons. First, chest CT scans are ordered frequently for a myriad of clinical indications, including dyspnea or chest pain. Smith-Bindman et al[3] estimate the rate of chest CT scanning as 23 per 1,000, which, extrapolated to the US population, equates to approximately 7 million chest CT scans performed annually. Second, the National Lung Screening Trial found three fewer deaths from lung cancer per 1,000 in those screened annually for 3 years with low-dose chest CT scans, leading to the B recommendation by the US Preventive Services Task Force[4] to screen high-risk individuals with yearly low-dose CT scans. However, the National Lung Screening Trial also found a 25% rate of screen-detected nodules, 96% of which were benign. Currently, 8.6 million Americans meet the criteria for screening.[5] Depending on the penetration of screening, the incidence of detected PNs could increase dramatically.[6] The American College of Chest Physicians (CHEST) and the Fleischner Society have published guidelines for management based on pretest probability of malignancy (pCA).[7,8] Management decisions fall into three general categories based on the physician’s pCA. For those in whom the pCA is low, serial imaging is recommended. When the pCA is intermediate, functional imaging (PET scan), biopsy, or both is warranted. When the pCA is high, surgery is recommended.[8] Although these recommendations appear straightforward, other factors such as patient comorbidities and preferences often influence the choice of management strategy.[8] Clinical prediction models have been developed and validated to assess the pCA in PNs, which can be used to help guide decisions about selection and interpretation of additional diagnostic testing.[9‐12] Outside clinical practice guidelines, there remain significant challenges in interpretation of the literature. First, the prevalence of malignancy in a PN varies by the context within which it is studied, from a low of 2% in lung cancer screening trials to a high of 83% in surgical series.[13‐15] Unfortunately, most of these studies are from single-center academic institutions focused on a single aspect of nodule management (eg, PET scan use) and do not always combine modalities to give a cohesive picture of how nodules are managed from presentation to final outcome. We undertook this study to better understand the management patterns of physicians faced with the evaluation of intermediate-sized nodules, which most often present a diagnostic dilemma,[16] in community settings across the United States.

Materials and Methods

This was a multicenter, community-based, retrospective observational study of patients with PNs, ranging from 8 to 20 mm in diameter, presenting to 18 geographically representative outpatient pulmonary clinics across the United States. The study was approved at 15 sites by a central institutional review board and at three sites by local institutional review board approval.

Site Selection

Four hundred forty sites were identified based on investigator databases and claims data from a large insurance carrier whose coverage population was representative of the overall US population. Of these, 77 sites expressed interest in participating, and 48 sites went on to sign confidentiality agreements. Of these, 17 did not request additional information, leaving 31 sites undergoing qualification review. Eighteen outpatient pulmonary clinics were chosen to participate based on the following criteria: (1) management of patients with PNs, (2) availability of medical records, and (3) ability to perform data abstraction. In addition, investigators targeted enrollment of geographically diverse patients to limit the potential bias associated with differences in practice patterns and to account for variation in disease prevalence (eg, endemic mycoses) that could alter management decisions.

Patient Selection

Patients were identified by querying databases (eg, billing and scheduling systems) using five International Classification of Diseases, Ninth Revision, Clinical Modification codes for PN (793.1, 786.6, 518.89, 519.8, 519.9) to ensure homogeneity in patient identification and inclusion.[17] Manual chart abstraction was then used to identify those who met the criteria. To minimize selection bias, the sites were not permitted to use additional codes during database query to identify patients. To ensure a systematic sample, patient eligibility was determined by examining consecutively referred patients to the site. Inclusion criteria included age ≥ 40 years and ≤ 89 years at the time of nodule finding, presentation to a pulmonologist, nodule size 8 to 20 mm, and definitive diagnosis ascertained by tissue diagnosis or radiographic follow-up for 2 years. Exclusion criteria included chest CT scan performed > 60 days prior to the initial visit, prior diagnosis of any cancer within 2 years of nodule detection, or incomplete chart data. Patients were categorized into three groups by the most invasive procedure performed during management, as follows: surveillance (serial imaging), biopsy (CT scan-guided transthoracic needle aspiration [TTNA] or bronchoscopy), or surgery (including mediastinoscopy, video-assisted thorascopic surgery, and/or thoracotomy).

Data Collection

Clinical data were abstracted retrospectively by designated study staff into an electronic data capture system from initial consultation through establishment of a definitive diagnosis (ie, pathology results) or a minimum 2-year follow-up. Data included patient demographic and clinical characteristics, PN characteristics, imaging tests, invasive testing, and surgery. PET scan reports were reviewed and abstracted where available for a subset of patients. To adjudicate a PET scan report as positive or negative, an algorithm was developed that prioritized the following components of the report from highest to lowest: final radiology impression, description of findings, and standard uptake values (SUVs) (e-Fig 1). PET scanning was defined as negative if the report included any of the following statements: no evidence of malignancy, no 18F-fluorodeoxyglucose uptake or hypermetabolic activity, or an SUV of < 2.5. A positive PET scan was defined as a report that included any of the following statements: concern or suggestion of malignancy, findings that described increased 18F-fluorodeoxyglucose uptake or hypermetabolic activity, or an SUV ≥ 2.5. In the 27 cases in which the findings were discordant with the final impression, adjudication was performed by two independent pulmonologists and agreement was reached in all cases. Data quality was ensured through ongoing site monitoring. Programmed edit checks were built into the electronic data capture system and at the conclusion of chart abstraction, each site provided access to a random 10% sample of deidentified patient records for review.

Pretest Probability of Malignancy

Two previously developed and validated models[9,10] were used to estimate the pCA in each patient. Model accuracy was determined by comparing the pCA with the final diagnosis. Receiver operating characteristic curves and the area under the curve were generated with 95% CIs. The pCA was calculated for each patient and categorized into three groups (< 5%, 5% to < 65%, and ≥ 65%). Procedure use by group was examined.

Data Analysis

χ2 or analysis of variance tests were used to compare subgroups, and P values < .05 were considered significant. A nodule was classified as benign based on confirmed benign pathology or the absence of radiographic change as determined by the managing physician during surveillance for at least 2 years. Multivariate logistic regression was performed to identify factors associated with the use of an invasive diagnostic procedure. All statistical analyses were performed using SAS/STAT, version 9.3 (SAS Institute inc).

Results

Eighteen sites were chosen based on geographic location and ability to meet the inclusion criteria (e-Fig 2). A total of 2,579 patients were screened for eligibility. Following review, 377 patients were included in the final analysis (Fig 1). Most of the exclusions were based on nodule size (< 8 mm or > 20 mm) (n = 1,314), missing clinical information (n = 424), or insufficient follow-up time (n = 303). There was some variation at both the site level and regionally in the numbers of patients excluded because of missing data (e-Tables 1, 2).
Figure 1 –

Inclusion and exclusion. Eval = evaluation.

Inclusion and exclusion. Eval = evaluation. Of the 377 patients included, 283 (75%) had a nodule that was benign, and 94 (25%) had a malignant nodule (Table 1). The average age was 64.5 years, although patients with malignancy were slightly older (P < .02). There was an equal sex distribution. Those with cancer were more likely to be current or former smokers (P < .0001). Although the number of pack-years smoked was significantly higher in those with malignancy (45 vs 27, P < .0001), a substantial proportion of those with benign nodules smoked (67%). Malignant nodules were larger than benign nodules (P < .0001), although there did not appear to be a reliable cutoff above which malignancy could be predicted. Figure 2 demonstrates the diagnostic outcome by nodule size. Twelve percent of nodules ≤ 11 mm in size were malignant, whereas 40% of nodules between 16 and 20 mm were malignant.
TABLE 1 ] 

Characteristics of Patients and Lung Nodules

CharacteristicsAll PatientsCancerBenignP Value
Patients, No.37794283
 Age, y65 (40-88)67 (42-83)64 (40-88).0186
 Sex.9308
  Male171 (45)43 (46)128 (45)
  Female206 (55)51 (54)155 (55)
 Smoking history
  Status< .0001
   Never102 (27)8 (9)94 (33)
   Former169 (45)50 (53)119 (42)
   Current106 (28)36 (38)70 (25)
  Pack-y, mean (range)32 (0-165)45 (0-125)27 (0-165)< .0001
 Known family history of lung cancer46 (12)19 (20)27 (10).0062
 Geographic region.1087
  Midwest118 (31)25 (27)93 (33)
  Northeast88 (23)17 (18)71 (25)
  South88 (23)24 (26)64 (23)
  West83 (22)28 (30)55 (19)
Lung nodules
 Size, mm13 (8-20)15 (8-20)12 (8-20)< .0001
 Location.0262
  Left lower lobe76 (20)14 (15)62 (22)
  Left upper lobe91 (24)29 (31)62 (22)
  Right lower lobe77 (20)16 (17)61 (22)
  Right middle lobe45 (12)6 (6)39 (14)
  Right upper lobe88 (23)29 (31)59 (21)
 Spiculated118 (31)45 (48)73 (26)< .0001
Diagnosis
 Clinical benign175 (46)175 (62)
 Histopathology
  Benign diagnosis
   No malignancy21 (6)21 (7)
   Infection/inflammation22 (6)22 (8)
   Granuloma7 (2)7 (2)
   Scar1 (0)1 (0)
   Nondiagnostic biopsy/radiographically stable or resolved at 2 y57 (15)57 (20)
  Cancer diagnosis
   NSCLC (type not specified)57 (15)57 (61)
   NSCLC (bronchial alveolar carcinoma)2 (1)2 (2)
   Adenocarcinoma14 (4)14 (15)
   Squamous cell10 (3)10 (11)
   Small cell4 (1)4 (4)
   Othera7 (2)7 (7)
Procedure use
 Surgery77 (20)50 (53)27 (10)< .0001
 Biopsy144 (38)55 (59)89 (32)< .0001
 Surgery or biopsy202 (54)94 (100)108 (38)< .0001
 PET scan141 (37)56 (60)85 (30)< .0001
 CT scan/radiograph only133 (35)0 (0)133 (47)< .0001
 Procedure use category
  Most invasive = surgery77 (20)50 (53)27 (10)< .0001
  Most invasive = biopsy125 (33)44 (47)81 (29).0012
  Surveillance175 (46)0 (0)175 (62)< .0001

Data are given as No. (%) or mean (range) unless otherwise indicated. NSCLC = non-small cell lung cancer.

Other cancer diagnoses include spindle cell, mesothelioma, and metastatic cancer.

Figure 2 –

Diagnostic outcome by nodule size (N = 377).

Characteristics of Patients and Lung Nodules Data are given as No. (%) or mean (range) unless otherwise indicated. NSCLC = non-small cell lung cancer. Other cancer diagnoses include spindle cell, mesothelioma, and metastatic cancer. Diagnostic outcome by nodule size (N = 377). Current smokers (OR = 3.29; 95% CI, 1.36-7.98) and patients with larger nodules (16-20 mm) were more likely (OR = 4.77; 95% CI, 2.95-7.72) to have a procedure (biopsy or surgery) performed. There was no difference in receipt of procedure based on age, family history of cancer, or geographic location (Table 2).
TABLE 2 ] 

Factors Associated With the Decision to Pursue Invasive Procedures in the Management of PNs

Predictor VariableMultivariable Model
OR95% CI
Age
 ≤ 50 yReference
 50-64 y0.6170.196-1.941
 64-79 y0.6230.226-1.714
 ≥ 80 y0.8540.244-2.993
Smoking history
 NeverReference
 Former1.3430.627-2.875
 Current3.2901.357-7.978
Nodule size
 8-11 mmReference
 12-15 mm3.4872.338-5.200
 16-20 mm4.7732.950-7.722
Family history of lung cancer
 NoReference
 Yes2.0420.668-6.238
Region
 NortheastReference
 West1.2220.365-4.089
 South0.6200.263-1.460
 Midwest0.7140.330-1.545

PN = pulmonary nodule.

Factors Associated With the Decision to Pursue Invasive Procedures in the Management of PNs PN = pulmonary nodule. To further understand nodule management decisions, we used two prediction models to determine the pCA for each individual in the study.[9,10] These models had very good accuracy in this cohort of patients, with an area under the curve of 0.77 (95% CI, 0.72-0.81) and 0.74 (95% CI, 0.69-0.80), respectively (e-Fig 3). Because the results did not vary significantly between models, we report the results from the Veteran Affairs model here and results from the Mayo model in e-Table 3. Table 3 lists the pretest probability for cancer by three ranges as defined by the CHEST guidelines for PN management: low risk (pCA < 0.05), intermediate risk (pCA 0.05 to < 0.65), and high risk (> 0.65).[8] The average pCA for all patients as calculated by the model was 0.33, which is only slightly higher than the cancer prevalence of 25% in this population. Thirty-six patients had nodules that had a low risk of malignancy, and all were benign. Slightly more than one-half were followed by serial imaging alone (n = 20, 56%). However, despite a pCA of < 0.05, 10 (28%) underwent biopsy, and six (17%) had surgical resection. The majority of nodules (n = 300) fell into the intermediate-risk category, and 75% of these were benign. Forty-one patients (11%) had high-risk nodules, and 23 (58%) were benign. The rate of surgical resection was similar among the three groups (17%, 21%, 17%, respectively; P = .69). Alternative cut points for the low-risk category were investigated. All nodules with a pCA of < 0.10 were found to be benign, whereas 98% of those with a pCA of < 0.15 were benign (Table 4).
TABLE 3 ] 

Calculated Pretest Probability and Procedure Use

VariablesClinical Probability of CancerP Value
< 0.05 (n = 36)0.05 to < 0.65 (n = 300)≥ 0.65 (n = 41)
VA model probability, pCA0.03 ± 0.0130.32 ± 0.1620.74 ± 0.056
Outcome
 Benign36 (100)224 (75)23 (58)< .0001
 Malignant0 (0)76 (25)18 (45)< .0001
Age55.1 ± 12.7464.2 ± 10.1074.6 ± 6.66< .0001
Smoking status
 Ever11 (31)223 (74)41 (100)< .0001
 Never25 (69)77 (26)0 (0)< .0001
 Years of abstinencea27.1 ± 42.797.8 ± 13.073.9 ± 6.60< .0001
 Pack-y6.4 ± 13.9232.6 ± 32.4246.8 ± 21.44< .0001
Nodule size10.6 ± 2.9912.6 ± 3.6316.1 ± 3.32< .0001
Procedure useb
 Surgery6 (17)64 (21)7 (17).6878
 Biopsy11 (31)112 (37)21 (51).1401
 Surgery or biopsy16 (44)159 (53)27 (66).1548
 PET scan13 (36)113 (38)15 (37).9771
 CT scan/radiograph only15 (42)107 (36)11 (27).3781
Procedure use categoryb
 Most invasive = surgery6 (17)64 (21)7 (17).6878
 Most invasive = biopsy10 (28)95 (32)20 (49).0711
 Surveillance20 (56)141 (47)14 (34).1548

Data are given as No. (%) or mean ± SD. pCA = pretest probability of malignancy; VA = Veterans Affairs.

Both never smokers and current smokers are included.

Differences are not statistically significant, P > .05.

TABLE 4 ] 

Alternative Pretest Probabilities for Low-Risk Category

VariablesClinical Probability for Cancer
< 0.05 (n = 36)< 0.10 (n = 61)< 0.15 (n = 93)< 0.20 (n = 127)< 0.25 (n = 160)
VA model probability, pCA0.03 ± 0.0130.05 ± 0.0300.07 ± 0.0450.10 ± 0.0590.13 ± 0.073
Outcome
 Benign36 (100)61 (100)91 (98)121 (95)150 (94)
 Malignant0 (0)0 (0)2 (2)6 (5)10 (6)

Data are given as No. (%) or mean ± SD. See Table 3 for expansion of abbreviations.

Calculated Pretest Probability and Procedure Use Data are given as No. (%) or mean ± SD. pCA = pretest probability of malignancy; VA = Veterans Affairs. Both never smokers and current smokers are included. Differences are not statistically significant, P > .05. Alternative Pretest Probabilities for Low-Risk Category Data are given as No. (%) or mean ± SD. See Table 3 for expansion of abbreviations. Nearly one-half of all patients (46%, n = 175) were followed with serial imaging only. The median number of scans performed was three (range, one to seven). Although the majority (62%) had three to five follow-up imaging studies, 4% underwent seven repeat scans. All nodules in this group were benign by resolution or 2 years of radiographic stability. Biopsy (TTNA or bronchoscopy) was performed as the most invasive procedure in 125 patients (33%) and was positive for malignancy in 44 (35%). In more than one-half (n = 71, 57%), a specific benign diagnosis was obtained, whereas 10 (8%) were nondiagnostic and subsequently followed for 2 years. A total of 77 patients (20%) had surgery as their most invasive test. Prior to surgery, 19 patients (25%) underwent a TTNA or bronchoscopy; 11 had a nondiagnostic biopsy (seven malignant, four benign at surgery), and eight had a benign biopsy result (three malignant, five benign at surgery). Overall, malignancy was diagnosed in 65% (n = 50; 95% CI, 53.2%-75.5%) of those who received surgery, whereas 35% (n = 27; 95% CI, 24.5%-46.8%) underwent surgery for benign disease. A PET scan was performed in 141 patients (37%). Overall, PET scan use increased with the intensity of testing (surveillance 24%, biopsy 42%, surgery 60%, P < .0001). Results were available for 78% (n = 110) of those who underwent PET scanning (Fig 3). The overall accuracy of PET scanning was 74%, with a false-positive (FP) rate of 39% and a false-negative (FN) rate of 9%. In 8- to 11-mm nodules with PET scan data (n = 38), the FN rate was 10% and the FP rate was 36%. Nodules measuring > 11 to 15 mm (n = 48) had FN and FP rates of 9% and 36%, respectively. The FN rate for PET scans in nodules > 15 mm (n = 24) was 8%, and the FP rate was 55%.
Figure 3 –

PET scan use grouped based on most invasive procedure. A, Surveillance. B, Biopsy. C, Surgery.

PET scan use grouped based on most invasive procedure. A, Surveillance. B, Biopsy. C, Surgery. In the surveillance group (n = 175), 42 (24%) underwent PET scanning, for whom 31 reports were available. Seven (23%) had PET scan positive results and were followed with serial imaging. Among the 125 patients who underwent biopsy as the most invasive procedure, 53 (42%) underwent PET scan prior to the biopsy. Results were available in 42 cases. Twenty-nine (69%) were PET scan positive and 13 (31%) were negative, yet all went on to biopsy. In the 77 patients who underwent surgery, 46 (60%) underwent a preoperative PET scan, for which 37 reports were available. Thirty-one (84%) had PET scan positive results. Among the 19 patients who underwent preoperative biopsy, 16 had a PET scan, with results available in 15. The majority (n = 14) were positive.

Discussion

This study describing the management of intermediate PNs referred to community pulmonologists has several important findings. First, a quarter of patients referred for intermediate-sized PN evaluation were found to have cancer, emphasizing the importance of the diagnostic evaluation. Second, 35% of patients who underwent surgery had benign nodules. Third, despite guideline recommendations for surveillance of PNs with < 5% pCA, 44% of low-risk patients underwent one or more invasive procedures for a benign nodule. Finally, the rate of surgical resection for nodules with various pretest probabilities of malignancy was similar. This suggests that pulmonologists do not routinely consider pCA, are unaware that guidelines exist for nodule management, or do not to follow them. To our knowledge, this is the first study that documents the prevalence of cancer (25%) in patients with intermediate-sized nodules who are referred to community-based pulmonologists. This finding has implications for managing PNs in the community; because the risk of cancer is substantial, patients should be managed based on their individualized risk of malignancy. We found that a high proportion of patients who underwent surgery had benign disease without variation when stratified by the pretest probability of cancer in the nodule. The rates of resection for benign disease varied from 9% to 23% in screening trials and surgical series.[14,18] Guidelines recommend surgery if the pretest probability of cancer is high (pCA > 65%) because a negative biopsy result would not dissuade the physician from pursuing a definitive diagnosis and a positive biopsy result would lead to surgery anyway. The risk models we evaluated were very good at identifying those patients who did not have cancer (100% nodules with < 5% pCA were benign), yet surgical resection was performed at rates similar to those with a high probability of cancer. Similarly, there was no difference in the proportion of patients undergoing surveillance when stratified by pCA. This suggests that pulmonologists did not readily follow the guidelines because they were unaware of them, did not believe them useful, or overestimated the pCA. This study does not allow us to explore the reasons why pulmonologists aggressively manage some nodules that turn out to be benign. There are several possible explanations as to what may have led to biopsy or surgery, and they include being misled by PET scan results, patient preferences for diagnostic certainty, an overestimation of the pCA, or incentives for procedure referral.[19] Further research is needed to determine the exact drivers of physician decision-making in PN management. Although physicians did not appear to use pCA in making decisions about surgery or surveillance, there was a trend toward an increasing use of biopsy as the pCA increased (P = .07). This finding suggests that pulmonologists may use clinical intuition and experience to distinguish benign from malignant disease, although, admittedly, data on provider years in practice and the proportion who were board certified were not available. A significant proportion of patients in this study with benign nodules were older and had significant smoking histories and larger nodules, all which typically suggest malignancy and may have led physicians to overestimate pCA. In the setting of a positive or ambiguous PET scan interpretation, it is possible that the pulmonologists felt compelled to confirm the abnormal findings with a definitive tissue diagnosis. The FP rate for PET scans in this study was 39%, as compared with the 5% to 28% rate[20‐26] reported in the literature. Conversely, in some instances, PET scan results did not seem to be taken into account when making management decisions. For instance, in the surveillance-only group, eight patients with positive PET scans did not undergo further diagnostic procedures. Similarly, in the biopsy group, 13 patients with negative PET scan results still underwent an invasive procedure. Another consideration is that patient preferences influenced the decision toward more aggressive care. The guidelines advocate a patient-centered approach to decision-making after patients are informed of the pCA.[8] Thus, some patients may request surgery despite a low pCA because of anxiety about the unknown and an unwillingness to continue with surveillance.[27] The cornerstone of management for PNs has been calculating pCA and acting on those calculations.[8] This study provides evidence that physicians may not use pCA to guide decision-making and also suggests that an alternative low-risk-category pCA higher than the current CHEST guidelines would shift more patients into the surveillance management strategy without missing malignancy. Although the exact reason for management decisions cannot be elicited, it is clear that there is wide variation in the management of PNs by pulmonologists. The goal for nodule management is to efficiently detect lung cancer while decreasing the number of unnecessary invasive procedures. A number of radiographic improvements, novel tests, and biomarkers have been developed with the potential to help determine the likelihood of malignancy in a nodule. The use of semiautomated volumetric software to measure the diameter and volume doubling time of a nodule between scans has been used successfully in screening trials to improve the sensitivity, specificity, and negative predictive value of CT scans.[28] Similarly, volumetric measurements added to traditional nodule malignancy prediction models have also been shown to improve the classification of malignancy from 60% to 80%, with better performance than that of the traditional model.[29] Identification of aberrations in airway epithelial cell gene expression, circulating tumor antibodies, plasma proteomics, exhaled breath analysis, and microRNA are all being studied actively for use in diagnosing lung cancer.[30‐35] These novel tests have the potential to further refine nodule management and alleviate the ambiguity of current management strategies. This study has several limitations. First, the retrospective design precluded a complete understanding of the rationale for test ordering. However this design did allow for a definitive final diagnosis to be established with biopsy, surgery, or 2 years of radiographic surveillance. Second, incomplete PET scan data coupled with difficulties in scan interpretation resulted in variations in the definition of a “positive” PET scan. To overcome this limitation, we developed a hierarchical algorithm for determining a definitive PET scan result. Finally, excluding patients who had had a CT scan > 60 days prior to initial consultation may have selectively excluded some patients with low probability nodules. This study also has several strengths. The findings are generalizable because of the large sample size, geographic distribution, and multicenter design. The study also focuses on a size range of nodules (8-20 mm) that most often presents a diagnostic dilemma for physicians.[16] Nodules smaller than 8 mm are followed with surveillance because the pCA is low, PET scans do not reliably characterize small nodules, and biopsy of small nodules is difficult; by contrast, nodules > 20 mm are likely to undergo biopsy or surgery because the pCA is high. As opposed to other published series, this study allowed for all three management strategies to be studied in detail.

Conclusions

In conclusion, one in four patients referred with a nodule to a community pulmonologist has cancer, making management decisions critical to patient outcomes. To spare patients unnecessary testing, use of a higher pCA to define a nodule as low risk seems reasonable. There is a wide variation in how nodules are managed and the choice of management may be influenced by a variety of factors in addition to pretest probability. Future research should focus on what influences decision-making in PN management so that interventions may be developed to promote proper guideline adherence and avoidance of unnecessary invasive procedures. Online Supplement Click here for additional data file.
  35 in total

1.  The utility of nodule volume in the context of malignancy prediction for small pulmonary nodules.

Authors:  Hiren J Mehta; James G Ravenel; Stephanie R Shaftman; Nichole T Tanner; Luca Paoletti; Katherine K Taylor; Martin C Tammemagi; Mario Gomez; Paul J Nietert; Michael K Gould; Gerard A Silvestri
Journal:  Chest       Date:  2014-03-01       Impact factor: 9.410

Review 2.  ACR appropriateness Criteria® radiographically detected solitary pulmonary nodule.

Authors:  Jeffrey P Kanne; Leif E Jensen; Tan-Lucien H Mohammed; Jacobo Kirsch; Judith K Amorosa; Kathleen Brown; Jonathan H Chung; Debra Sue Dyer; Mark E Ginsburg; Darel E Heitkamp; Ella A Kazerooni; Loren H Ketai; J Anthony Parker; James G Ravenel; Anthony G Saleh; Rakesh D Shah
Journal:  J Thorac Imaging       Date:  2013-01       Impact factor: 3.000

3.  What do you mean, a spot?: A qualitative analysis of patients' reactions to discussions with their physicians about pulmonary nodules.

Authors:  Renda Soylemez Wiener; Michael K Gould; Steven Woloshin; Lisa M Schwartz; Jack A Clark
Journal:  Chest       Date:  2013-03       Impact factor: 9.410

4.  Management of lung nodules detected by volume CT scanning.

Authors:  Rob J van Klaveren; Matthijs Oudkerk; Mathias Prokop; Ernst T Scholten; Kristiaan Nackaerts; Rene Vernhout; Carola A van Iersel; Karien A M van den Bergh; Susan van 't Westeinde; Carlijn van der Aalst; Erik Thunnissen; Dong Ming Xu; Ying Wang; Yingru Zhao; Hester A Gietema; Bart-Jan de Hoop; Harry J M Groen; Geertruida H de Bock; Peter van Ooijen; Carla Weenink; Johny Verschakelen; Jan-Willem J Lammers; Wim Timens; Dik Willebrand; Aryan Vink; Willem Mali; Harry J de Koning
Journal:  N Engl J Med       Date:  2009-12-03       Impact factor: 91.245

5.  Accuracy of fluorodeoxyglucose-positron emission tomography within the clinical practice of the American College of Surgeons Oncology Group Z4031 trial to diagnose clinical stage I non-small cell lung cancer.

Authors:  Eric L Grogan; Stephen A Deppen; Karla V Ballman; Gabriela M Andrade; Francys C Verdial; Melinda C Aldrich; Chiu L Chen; Paul A Decker; David H Harpole; Robert J Cerfolio; Robert J Keenan; David R Jones; Thomas A D'Amico; Joseph B Shrager; Bryan F Meyers; Joe B Putnam
Journal:  Ann Thorac Surg       Date:  2014-02-25       Impact factor: 4.330

6.  Annual number of lung cancer deaths potentially avertable by screening in the United States.

Authors:  Jiemin Ma; Elizabeth M Ward; Robert Smith; Ahmedin Jemal
Journal:  Cancer       Date:  2013-02-25       Impact factor: 6.860

7.  Is diffusion-weighted magnetic resonance imaging superior to positron emission tomography with fludeoxyglucose F 18 in imaging non-small cell lung cancer?

Authors:  Yasuomi Ohba; Hiroaki Nomori; Takeshi Mori; Koei Ikeda; Hidekatsu Shibata; Hironori Kobayashi; Shinya Shiraishi; Kazuhiro Katahira
Journal:  J Thorac Cardiovasc Surg       Date:  2009-03-29       Impact factor: 5.209

Review 8.  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.

Authors:  Michael K Gould; Jessica Donington; William R Lynch; Peter J Mazzone; David E Midthun; David P Naidich; Renda Soylemez Wiener
Journal:  Chest       Date:  2013-05       Impact factor: 9.410

9.  The value of FDG-PET/CT in assessing single pulmonary nodules in patients at high risk of lung cancer.

Authors:  Olga Kagna; Anna Solomonov; Zohar Keidar; Rachel Bar-Shalom; Oren Fruchter; Mordechai Yigla; Ora Israel; Luda Guralnik
Journal:  Eur J Nucl Med Mol Imaging       Date:  2009-02-05       Impact factor: 9.236

10.  EarlyCDT®-Lung test: improved clinical utility through additional autoantibody assays.

Authors:  Caroline J Chapman; Graham F Healey; Andrea Murray; Peter Boyle; Chris Robertson; Laura J Peek; Jared Allen; Alison J Thorpe; Geoffrey Hamilton-Fairley; Celine B Parsy-Kowalska; Isabel K MacDonald; William Jewell; Paul Maddison; John F R Robertson
Journal:  Tumour Biol       Date:  2012-04-11
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  49 in total

1.  Development of Guidelines for the Management of Pulmonary Nodules: Toward Better Implementation.

Authors:  David R Baldwin
Journal:  Chest       Date:  2015-12       Impact factor: 9.410

2.  Performance of FDG-PET/CT in solitary pulmonary nodule based on pre-test likelihood of malignancy: results from the ITALIAN retrospective multicenter trial.

Authors:  Laura Evangelista; Alberto Cuocolo; Leonardo Pace; Luigi Mansi; Silvana Del Vecchio; Paolo Miletto; Silvia Sanfilippo; Sara Pellegrino; Luca Guerra; Giovanna Pepe; Giuseppina Peluso; Marco Salvatore; Rosj Galicchio; Michele Zuffante; Salvatore Annunziata; Mohsen Farsad; Agostino Chiaravalloti; Marco Spadafora
Journal:  Eur J Nucl Med Mol Imaging       Date:  2018-05-07       Impact factor: 9.236

3.  Lung Cancer Field Cancerization: Implications for Screening by Low-Dose Computed Tomography.

Authors:  Ana I Robles; Curtis C Harris
Journal:  J Natl Cancer Inst       Date:  2017-07-01       Impact factor: 13.506

4.  The many facets of diagnostic bronchoscopy for pulmonary ground glass nodules.

Authors:  Christine Chavez; Takehiro Izumo
Journal:  J Thorac Dis       Date:  2017-03       Impact factor: 2.895

Review 5.  The Pursuit of Noninvasive Diagnosis of Lung Cancer.

Authors:  Thomas Atwater; Christine M Cook; Pierre P Massion
Journal:  Semin Respir Crit Care Med       Date:  2016-10-12       Impact factor: 3.119

6.  Systems-Level Resources for Pulmonary Nodule Evaluation in the United States: A National Survey.

Authors:  James Simmons; Michael K Gould; Jonathan Iaccarino; Christopher G Slatore; Renda Soylemez Wiener
Journal:  Am J Respir Crit Care Med       Date:  2016-05-01       Impact factor: 21.405

Review 7.  Incidental nodule management-should there be a formal process?

Authors:  Sonali Sethi; Scott Parrish
Journal:  J Thorac Dis       Date:  2016-07       Impact factor: 2.895

8.  Clinical Equipoise and Shared Decision-making in Pulmonary Nodule Management. A Survey of American Thoracic Society Clinicians.

Authors:  Jonathan M Iaccarino; James Simmons; Michael K Gould; Christopher G Slatore; Steven Woloshin; Lisa M Schwartz; Renda Soylemez Wiener
Journal:  Ann Am Thorac Soc       Date:  2017-06

9.  Effect of an Automated Tracking Registry on the Rate of Tracking Failure in Incidental Pulmonary Nodules.

Authors:  Jonathan Shelver; Chris H Wendt; Melissa McClure; Brian Bell; Angela E Fabbrini; Thomas Rector; Kathryn Rice
Journal:  J Am Coll Radiol       Date:  2017-04-21       Impact factor: 5.532

10.  Integration of multiple "OMIC" biomarkers: A precision medicine strategy for lung cancer.

Authors:  Ana I Robles; Curtis C Harris
Journal:  Lung Cancer       Date:  2016-06-14       Impact factor: 5.705

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