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University of Groningen

New Fissure-Attached Nodules in Lung Cancer Screening

Han, Daiwei; Heuvelmans, Marjolein A; van der Aalst, Carlijn M; van Smoorenburg, Lisa H;

Dorrius, Monique D; Rook, Mieneke; Nackaerts, Kristiaan; Walter, Joan E; Groen, Harry J M;

Vliegenthart, Rozemarijn

Published in:

Journal of Thoracic Oncology

DOI:

10.1016/j.jtho.2019.09.193

IMPORTANT NOTE: You are advised to consult the publisher's version (publisher's PDF) if you wish to cite from

it. Please check the document version below.

Document Version

Final author's version (accepted by publisher, after peer review)

Publication date:

2020

Link to publication in University of Groningen/UMCG research database

Citation for published version (APA):

Han, D., Heuvelmans, M. A., van der Aalst, C. M., van Smoorenburg, L. H., Dorrius, M. D., Rook, M.,

Nackaerts, K., Walter, J. E., Groen, H. J. M., Vliegenthart, R., de Koning, H. J., & Oudkerke, M. (2020).

New Fissure-Attached Nodules in Lung Cancer Screening: A Brief Report From The NELSON Study.

Journal of Thoracic Oncology, 15(1), 125-129. https://doi.org/10.1016/j.jtho.2019.09.193

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Downloaded from the University of Groningen/UMCG research database (Pure): http://www.rug.nl/research/portal. For technical reasons the number of authors shown on this cover page is limited to 10 maximum.

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New Fissure-attached Nodules in Lung Cancer Screening: A Brief Report from The 1 NELSON Study 2 3 4 Daiwei Hana 5 Marjolein A Heuvelmansb,c 6

Carlijn M van der Aalstd

7

Lisa H van Smoorenburge

8 Monique D Dorriusa 9 Mieneke Rooka, f 10 Kristiaan Nackaertsg 11 Joan E Walterb 12 Harry J M Groenh 13 Rozemarijn Vliegentharta 14 Harry J de Koningd 15

Matthijs Oudkerkee,i

16 17 18 19 20

a University of Groningen, University Medical Center Groningen, Department of

21

Radiology, Groningen, The Netherlands 22

23

b University of Groningen, University Medical Center Groningen, Department of

24

Epidemiology, Groningen, The Netherlands 25

26

c Medisch Spectrum Twente, Department of Pulmonology, Enschede, The Netherlands

27 28

d Erasmus MC - University Medical Center Rotterdam, Department of Public Health,

29

Rotterdam, The Netherlands 30

31

e University of Groningen, Faculty of Medical Sciences, Groningen the Netherlands

32 33

f Martini Hospital, Department of Radiology, Groningen, The Netherlands

34 35

g KU Leuven, University Hospitals Leuven, Department of Pulmonary Medicine,

36

Leuven, Belgium 37

38

h University of Groningen, University Medical Center Groningen, Department of

39

Pulmonology, Groningen, The Netherlands 40

41

i iDNA B.V., Groningen, the Netherlands

(3)

43

Disclosures: 44

45

Prof. Oudkerk discloses that he holds a financial interest in iDNA B.V.. 46

47 48

(4)

Abstract 49

Introduction 50

In incidence lung cancer screening rounds, new pulmonary nodules are regular findings. They 51

have a higher lung cancer probability than baseline nodules. Previous studies showed that 52

baseline perifissural nodules (PFNs) represent benign lesions. Whether this is also the case for 53

incident PFNs is unknown. This study evaluated newly detected nodules in the Dutch-Belgian 54

randomized-controlled NELSON study with respect to incidence of fissure-attached nodules, 55

their classification, and lung cancer probability. 56

Method 57

Within the NELSON trial, 7,557 participants underwent baseline screening between April 58

2004 and December 2006. Participants with new nodules detected after baseline were 59

included. Nodules were classified based on location and attachment. Fissure-attached nodules 60

were re-evaluated to be classified as typical, atypical or non-PFN by two radiologists without 61

knowledge of participant lung cancer status. 62

Result 63

1,484 new nodules were detected in 949 participants (77.4% male, median age 59 64

[interquartile range: 55-63]) in the second, third and final NELSON screening round. Based 65

on 2-year follow-up or pathology, 1,393 nodules (93.8%) were benign. In total, 97 (6.5%) 66

were fissure-attached, including 10 malignant nodules. None of the new fissure-attached 67

malignant nodules was classified as a typical or atypical PFN. 68

Conclusion 69

In the NELSON study, 6.5% of incident lung nodules were fissure-attached. None of the lung 70

cancers that originated from a new fissure-attached nodule in the incidence lung cancer 71

screening rounds was classified as a typical or atypical PFN. Our results suggest that also in 72

the case of a new PFN, it is highly unlikely that these PFNs will be diagnosed as lung cancer. 73

(5)

74

INTRODUCTION (max 200 words) 75

Pulmonary nodules are common findings in lung cancer screening and in clinical settings (1– 76

3). To increase the efficiency of lung cancer screening, it is key to timely and adequately 77

identify high-risk nodules while preventing overdiagnosis and overtreatment. Nodule follow-78

up and management are mainly determined based on nodule size and growth rate (4-6). 79

Recently, it was shown that new solid pulmonary nodules detected in incidence lung cancer 80

screening rounds comprise a higher lung cancer probability compared with baseline nodules , 81

and require more stringent follow-up of smaller nodules (4). 82

83

Twenty to thirty percent of screen-detected nodules from baseline is classified as perifissural 84

nodule (PFN) (5–7). Previous studies showed that baseline PFNs and PFNs in clinical settings 85

represent non-malignant lesions such as intrapulmonary lymph nodes (8–10). Whether this 86

also applies for new incident PFNs is unknown. To investigate this, we evaluated newly 87

detected nodules in the Dutch-Belgian randomized-controlled NELSON study with respect to 88

incidence of perifissural nodules, their classification and lung cancer probability. 89

(6)

MATERIAL AND METHODS (max 350 words) 91

The NELSON trial (trial registration number, ISRCTN63545820) was authorized by the 92

Dutch Health Care Committee and approved by Ethics Committees of all participating centers 93

in the Netherlands and Belgium. Written informed consent was obtained from all participants. 94

The study protocol has been published before (11,12). In brief, 15,792 participants between 95

50 and 75 years of age, who had daily smoked >15 cigarettes for >25 years or >10 cigarettes 96

for >30 years, and were still smoking or had stopped smoking less than 10 years previously 97

were randomized (1:1). The ‘screen’ group (N=7,900) received low-dose CT scans in year 1 98

(baseline), 2, 4 and 6.5. 99

100

For the current analyses, all participants with a new nodule ≥ 15mm3 in one of the three

101

incidence screening rounds were included. Confirmation of malignancy was based on 102

histology. In case it was not possible to obtain histology, but a nodule was highly 103

suspicious for malignancy because of the combination of suspicious CT appearance, fast 104

growth rate, and positive PET-CT result, the nodule was considered malignant and was 105

treated with stereotactic radiotherapy. Details regarding imaging acquisition/analysis and

106

nodule measurements are provided in the Supplementary Methods section, and 107

Supplementary References. 108

109

Based on attachment, nodules were classified as vessel-attached, fissure-attached or 110

intraparenchymal by the NELSON radiologists. All screening CT scans of participants with 111

newly detected lung cancer were re-evaluated in retrospect by two radiologists (4 and 6 years 112

of experience) to assess fissural attachment. Furthermore, benign and malignant fissure-113

attached nodules were re-evaluated by classifying them as typical, atypical or non-PFN., The 114

definition of these nodule classifications were previously given by de Hoop et al. Typical 115

(7)

PFNs were defined as fissure-attached, homogeneous, solid nodules with smooth margins and 116

lentiform triangular shape. Atypical PFNs were nodules that either met all features but were 117

not attached to a visible fissure or were fissure-attached nodules that were convex on one side 118

and round on the other side. All other fissure-attached nodules with a shape that did not 119

appear to be influenced by the fissure were defined as non-PFN (13). During the evaluation, 120

the radiologists were blinded with regards to outcome of the nodules (either based on 121

histology, or stability in nodule size during two-year follow-up). In case of disagreement, a 122

third radiologist (13 years of experience) arbitrated. 123

124

Statistical analysis 125

Normally distributed variables are described as mean and standard deviation. Otherwise, the 126

median and interquartile range are presented. Mann-Whitney U test was used to analyze 127

continuous, non-parametric independent data. Chi-Square test was used for the analysis of 128

categorical data. Statistical significance was considered for p < 0.05 and all tests were 2-129

tailed. For the statistical analysis, SPSS version 25 was used. 130

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RESULTS (max 350 words) 132

In the three NELSON incidence screening rounds, 1,484 new solid nodules were detected in 133

949 participants. Of these, 107 (7%) nodules in 104 participants were registered as fissure-134

attached by the NELSON radiologists, and these were selected for re-evaluation. Because CT 135

images from four participants were not retrievable, and six nodules were rated as not fissure-136

attached in the re-evaluation, the final number of re-evaluated fissure-attached nodules was 137

97, from 95 participants (Figure 1). 138

139

140

Figure 1. Flowchart of new fissure-attached nodules in the NELSON trial 141

142

Median age of the participants with new fissure-attached nodules was 58 years (IQR, 63-55) 143

and 67 (71%) were male. Overall, 55 (58%) participants were current smoker with a median 144

of 38 pack-years (IQR: 49-28). Of the new fissure-attached nodules, 32 (33%) were detected 145

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in the second screening round, 44 (45%) were detected in the third screening round and 21 146

(22%) nodules were detected in the final screening round. No significant difference was found 147

in age (p = 0.45), gender (p = 0.08), and pack years (p = 0.44) between the study cohort and 148

the larger study population of screenees with new solid lung nodules at incidence screening 149

rounds (949 participants). 150

151

Table 1. Size, location, and appearance of fissure-attached nodules 152

PFNs (all benign) Benign non-PFNs Malignant non-PFNs

P value a

Total (n) 58 (60%) 29 (30%) 10 (10%)

Nodule size b

Volume (IQR) 19 mm3 (14) 51 mm3 (250) 108 mm3 (1128) < 0.03

Mean diameter (IQR) 4 mm (1) 5 mm (5) 6 mm (9) < 0.01

Location (n) Right oblique 16 (28%) 11 (38%) 5 (50%) 0.423 Horizontal 13 (22%) 6 (21%) 1 (10%) Left oblique 26 (45%) 10 (34%) 3 (30%) Accessory 3 (5%) 2 (7%) 1 (10%) Appearance (n) Lentiform 12 (21%) 0 0 < 0.01 Triangular 30 (52%) 0 0 Other 16 (27%) 29 (100%) 10 (100%)

n, number of nodules; IQR, interquartile range; PFN, perifissural nodule (including both 153

typical and atypical perifissural nodules). 154

a Comparison between PFNs and Malignant non-PFNs

155

b Missing values were excluded from the analysis

156 157 158

In the 97 fissure-attached nodules that were re-evaluated, 42 (43%) were typical PFNs and 16 159

(17%) were atypical PFNs. Thirty-nine (40%) nodules were classified as non-PFN. Among 160

(10)

the non-PFNs, 10 (10%) were malignant (Table 1). Malignant non-PFNs were significantly 161

larger than PFNs and benign non-PFNs (p < 0.03), while location did not differ (p = 0.423). In 162

contrast to malignant and benign non-PFNs, PFNs were lentiform or triangular in appearance. 163

There was no malignant nodule classified as PFN (Figure 2). 164

165

Of the 10 malignant fissure-attached nodules, seven were located in the right lung. Four 166

malignant nodules were located in the upper lobe, one in the middle lobe, and five were 167

located in the lower lobe. The median volume was 108 mm3 (IQR, 1183-55; range, 37-2793)

168

and median diameter was 6 mm (IQR, 14-5; range, 5-20). Two of the malignant nodules were 169

large cell carcinomas, four were adenocarcinomas and one was small cell carcinoma, the 170

malignancy of the other three nodules did not have histological diagnosis, but were regarded 171

malignant based on their suspicious appearance, fast growth and positive PET-CT. 172

173

174

Figure 2. Transverse images of new malignant fissure-attached nodules. Nodule (a) and (g) 175

were large cell carcinomas. Nodule (d), (f), (i), and (j) were adenocarcinomas. Nodule (e) was 176

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a small cell carcinoma. (b), (c), and (h) were treated as lung cancers (without histological 177

diagnosis) with stereotactic radiotherapy because of suspicious appearance, fast growth and 178

positive PET-CT. 179

180

DISCUSSION (max 450 words) 181

To the best of our knowledge, this is the first study focusing on new perifissural nodules 182

detected in CT lung cancer screening. A total of 97 new solid fissure-attached nodules were 183

identified, 6.5% of all incident screen-detected lung nodules. Sixty percent of all new fissure-184

attached nodules met the criteria of PFN. None of the malignant nodules were classified as 185

PFN. This suggests that PFNs, even in the case of newly developed nodules, are benign 186

findings. 187

188

The prevalence of PFN nodules from the total number of new solid nodules in the NELSON 189

study was 4% (58/1484). This percentage is considerably lower compared to the previously

190

reported prevalence of baseline PFNs detected in a lung cancer screening setting. De Hoop et 191

al. reported that 20% of all baseline nodules were typical PFNs and 3% were atypical, Ahn et 192

al. reported that 28% of non-calcified nodules (NCN) were PFNs (5), and more recently Mets 193

et al. reported that outside a lung cancer screening setting, PFNs represent 21% of the non-194

calcified nodules (7). All these studies showed a 0% risk of malignancy in PFNs. Since PFNs 195

are likely to be intrapulmonary lymph nodes, they may appear less frequently as new nodule 196

in incidence screening rounds than in the baseline round. 197

198

Although in our study none of the nodules classified as PFNs turned out to be lung cancer, 199

Scheurder et al. have reported that 0.9% of nodules (five of 533) classified as typical PFNs 200

were lung cancers. Moreover, 4.8% of atypical PFNs (16 of 332) were lung cancers (14). The 201

difference with our result may be explained by the fact that their dataset from the NLST was 202

(12)

enriched with malignant nodules (70 cancers and 246 benign nodules) therefore the true 203

misclassification rate could be far lower than the reported values. Moreover, the difference in 204

the study designs, as they did not limit their study to only fissure attached nodules, could have 205

further contributed to the misclassification of malignant nodules as PFN. Finally, in the 206

NELSON study, the first MDCT systems with isotropic volume reconstruction were used, 207

which could also explain the superior display of nodule morphology and location. 208

209

A limitation of our study is the relatively small number of new fissure-attached nodules 210

detected, although our study represents one of the largest lung cancer screening trials 211

worldwide. Furthermore, although all malignant new nodules have been re-evaluated, a small 212

number of benign perifissural nodules could not be re-classified into typical, atypical or non-213

PFN since the CT scans were not retrievable. 214

215

In conclusion, in the NELSON study, none of the lung cancers originating from a new nodule 216

was classified as a typical or atypical PFN. Our results suggest that also in the case of a new 217

PFN, it is highly unlikely that it will be diagnosed as lung cancer. This implies that short-term 218

follow-up for these nodules might be superfluous. 219

220 221

Acknowledgements 222

The NELSON study is funded by the Dutch Organisation for Health Research and 223

Development (ZonMw); Dutch Cancer Society Koningin Wilhemina Fonds (KWF); Stichting 224

Centraal Fonds Reserves van Voormalig Vrijwillige Ziekenfondsverzekeringen (RvvZ); 225

Siemens Germany; Rotterdam Oncologic Thoracic Steering committee (ROTS); 226

G.Ph.Verhagen Trust, Flemish League Against Cancer, Foundation Against Cancer, and the 227

(13)

Erasmus Trust Fund. The funders had no role in study design, data collection and analysis, 228

decision to publish, or preparation of the manuscript. 229

230

References 231

232

1. National Lung Screening Trial Research Team, Aberle DR, Adams AM, Berg CD, Black 233

WC, Clapp JD, et al. Reduced lung-cancer mortality with low-dose computed 234

tomographic screening. N Engl J Med. 2011 Aug 4;365(5):395–409. 235

2. Horeweg N, van Rosmalen J, Heuvelmans MA, van der Aalst CM, Vliegenthart R, 236

Scholten ET, et al. Lung cancer probability in patients with CT-detected pulmonary 237

nodules: a prespecified analysis of data from the NELSON trial of low-dose CT 238

screening. Lancet Oncol. 2014 Nov;15(12):1332–41. 239

3. Zhao YR, Xie X, de Koning HJ, Mali WP, Vliegenthart R, Oudkerk M. NELSON lung 240

cancer screening study. Cancer Imaging. 2011 Oct 3;11(1A):S79–84. 241

4. Walter JE, Heuvelmans MA, Jong PA de, Vliegenthart R, Ooijen PMA van, Peters RB, 242

et al. Occurrence and lung cancer probability of new solid nodules at incidence 243

screening with low-dose CT: analysis of data from the randomised, controlled NELSON 244

trial. The Lancet Oncology. 2016 Jul 1;17(7):907–16. 245

5. Ahn MI, Gleeson TG, Chan IH, McWilliams AM, MacDonald SL, Lam S, et al. 246

Perifissural Nodules Seen at CT Screening for Lung Cancer. Radiology. 2010 Feb 247

8;254(3):949–56. 248

6. de Hoop B, van Ginneken B, Gietema H, Prokop M. Pulmonary Perifissural Nodules on 249

CT Scans: Rapid Growth Is Not a Predictor of Malignancy. Radiology. 2012 Nov 250

1;265(2):611–6. 251

7. Mets OM, Chung K, Scholten ETh, Veldhuis WB, Prokop M, van Ginneken B, et al. 252

Incidental perifissural nodules on routine chest computed tomography: lung cancer or 253

not? Eur Radiol. 2018 Mar 1;28(3):1095–101. 254

8. Ishikawa H, Koizumi N, Morita T, Tsuchida M, Umezu H, Sasai K. Ultrasmall 255

Intrapulmonary Lymph Node: Usual High-resolution Computed Tomographic Findings 256

With Histopathologic Correlation. Journal of Computer Assisted Tomography. 2007 257

May 1;31(3):409–13. 258

9. Honma K, Nelson G, Murray J. Intrapulmonary lymph nodes in South African miners— 259

an autopsy survey. American Journal of Industrial Medicine. 2007 Apr 1;50(4):261–4. 260

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lymph nodes: computed tomography findings with histopathologic correlations. Clinical 262

Imaging. 2013 May 1;37(3):487–92. 263

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11. van Klaveren RJ, Oudkerk M, Prokop M, Scholten ET, Nackaerts K, Vernhout R, et al. 264

Management of Lung Nodules Detected by Volume CT Scanning. New England Journal 265

of Medicine. 2009 Dec 3;361(23):2221–9. 266

12. Iersel CA van, Koning HJ de, Draisma G, Mali WPTM, Scholten ET, Nackaerts K, et al. 267

Risk-based selection from the general population in a screening trial: Selection criteria, 268

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screening trial (NELSON). International Journal of Cancer. 2007;120(4):868–74. 270

13. de Hoop B, van Ginneken B, Gietema H, Prokop M. Pulmonary Perifissural Nodules on 271

CT Scans: Rapid Growth Is Not a Predictor of Malignancy. Radiology. 2012 Nov 272

1;265(2):611–6. 273

14. Schreuder A, van Ginneken B, Scholten ET, Jacobs C, Prokop M, Sverzellati N, et al. 274

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