Incidental detection of ground glass nodules and primary lung cancer in patients with breast cancer: prevalence and long-term follow-up on chest computed tomography
Original Article

Incidental detection of ground glass nodules and primary lung cancer in patients with breast cancer: prevalence and long-term follow-up on chest computed tomography

Hye Sun Ryu1 ORCID logo, Han Na Lee2 ORCID logo, Jung Im Kim1 ORCID logo, Jung Kyu Ryu1 ORCID logo, Yu Jin Lim3 ORCID logo

1Department of Radiology, Kyung Hee University Hospital at Gangdong, Kyung Hee University College of Medicine, Seoul, Republic of Korea; 2Department of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea; 3Department of Radiation Oncology, Kyung Hee University Medical Center, Kyung Hee University College of Medicine, Seoul, Republic of Korea

Contributions: (I) Conception and design: HN Lee; (II) Administrative support: JI Kim, JK Ryu; (III) Provision of study materials or patients: HN Lee; (IV) Collection and assembly of data: HS Ryu, HN Lee; (V) Data analysis and interpretation: HS Ryu, HN Lee, YJ Lim; (VI) Manuscript writing: All authors; (VII) Final approval of manuscript: All authors.

Correspondence to: Han Na Lee, MD. Department of Radiology, Asan Medical Center, University of Ulsan College of Medicine, 88, Olympic-ro 43-gil, Songpa-gu, Seoul 05505, Republic of Korea. Email: lhnangel@gmail.com.

Background: Patients with breast cancer have a higher risk of developing lung cancer than the general population. The study aimed to evaluate the prevalence of ground glass nodule (GGN) and risk factors for GGN growth in patients with breast cancer and to evaluate the prevalence and pathologic features of lung cancer.

Methods: We retrospectively reviewed the clinical data and chest computed tomography (CT) of 1,384 patients diagnosed with breast cancer who underwent chest CT between January 2008 and December 2022. We evaluated the prevalence of GGNs and their size changes on follow-up chest CT with volume doubling time (VDT) and identified independent risk factors associated with the growth of GGN using multivariable logistic regression analyses. Furthermore, the prevalence and pathologic features of lung cancer were also evaluated.

Results: We detected persistent GGNs in 69 of 1,384 (5.0%) patients. The initial diameter of GGNs was 6.3±3.6 mm on average, with primarily (85.5%) pure GGNs. Among them, 27 (39.1%) exhibited interval growth with a median VDT of 1,006.0 days (interquartile range, 622.0–1,528.0 days) during the median 959.0 days (interquartile range, 612.0–1,645.0 days) follow-up period. Older age (P=0.026), part-solid nodules (P=0.006), and total number of GGNs (≥2) (P=0.007) were significant factors for GGN growth. Lung cancer was confirmed in 13 of 1,384 patients (0.9%), all with adenocarcinoma, including one case of minimally invasive adenocarcinoma. The cancers demonstrated a high rate of epidermal growth factor receptor (EGFR) mutation (69.2%).

Conclusions: Persistent GGNs in breast cancer patients with high-risk factors should be adequately monitored for early detection and treatment of lung cancer.

Keywords: Breast cancer; ground glass nodule (GGN); lung cancer; chest computed tomography (chest CT); adenocarcinoma


Submitted Oct 17, 2023. Accepted for publication Jan 24, 2024. Published online Mar 14, 2024.

doi: 10.21037/jtd-23-1605


Highlight box

Key findings

• Incidental ground glass nodules (GGNs) were found in 5.0% of patients with breast cancer who underwent chest computed tomography.

• Older age, part-solid nodules and total number of GGNs (≥2) were risk factors for growth of GGNs.

• Lung cancer was confirmed in 0.9% of patients, all adenocarcinoma with high prevalence of epidermal growth factor receptor mutation (69.2%).

What is known and what is new?

• Incidence of lung cancer is higher in patients with breast cancer than general population.

• In this study, prevalence of GGNs and lung cancer was 5.0% and 0.9% in patients with breast cancer.

• Older age and total number of GGNs (≥2) were risk factors for growth of GGNs.

What is the implication, and what should change now?

• Persistent GGNs in older individuals, part-solid nodules, and multiple GGNs (≥2) be adequately monitored for the early detection of GGN growth and the treatment of lung cancer.


Introduction

Breast cancer is the most commonly diagnosed malignant tumor and it was the 4th leading cause of death worldwide in 2020, according to the International Agency for Research on Cancer (1). Based on the 2020 Korean Central Cancer Registry database, breast cancer is the most frequently occurring cancer among women in Korea, accounting for 21.1% of all cancers, and ranks 5th overall at 10.1% (2). Breast cancer patients have a high survival rate, attributed to advances in treatment and surgical techniques. Additionally, the incidence of early stage of breast cancer is increasing, which is expected to further improve the survival rate (3). However, with prolonged survival, approximately 10% of breast cancer patients are diagnosed with a second malignancy within 10 years after their initial diagnosis of cancer, of which lung cancer is the most common (4-13).

For breast cancer patients, contrast-enhanced chest computed tomography (CT) is recommended to monitor for lung metastasis during treatment (14). Incidental detection of ground glass nodules (GGNs) or lung cancer may occur during this process. If persistent GGNs are identified on chest CT, these are a cause for concern, due to the possibility of pre-invasive (atypical adenomatous hyperplasia, adenocarcinoma in situ) or invasive adenocarcinoma, unlike transient GGNs (15,16). A previous study established that 14.8% of breast cancer patients had persistent GGNs and 4.3% of these were confirmed as pre-invasive or invasive adenocarcinoma (17). Additionally, lung cancer was diagnosed in approximately 0.8% of breast cancer patients who underwent chest CT and lung cancer demonstrated a high rate (78.5%) of epidermal growth factor receptor (EGFR) mutation (18). Only two studies have been conducted on Chinese patients to evaluate the incidental findings of GGNs or lung cancer after breast cancer diagnosis (17,18). Therefore, in the study, we evaluated the prevalence of persistent GGNs and the clinical and radiological characteristics of GGNs showing interval growth. We also examined the clinicopathologic features of lung cancer, including EGFR mutation in patients with breast cancer. We present this article in accordance with the STROBE reporting checklist (available at https://jtd.amegroups.com/article/view/10.21037/jtd-23-1605/rc).


Methods

Study population

The study was conducted in accordance with the Declaration of Helsinki (as revised in 2013). The retrospective study was approved by the Institutional Review Board of Kyung Hee University Hospital at Gangdong (approval No. 2023-02-016) and informed consent was waived owing to the retrospective nature of the study. We examined the medical records of 2,077 patients with pathologically confirmed breast cancer between January 2008 and December 2022. Since, January 2008, chest CT have been performed in patients with breast cancer to evaluate asymptomatic lung metastasis. A preoperative chest CT was recommended for tumor, node, metastasis (TNM) staging to all patients. Subsequently, chest CT scans were performed at 6-month intervals within the first 12 months after operation. Afterward, annual follow chest CT scans were recommended. All data were anonymized after collecting from the medical records. Among them, 1,409 patients (surgical: 1,309, nonsurgical: 100) underwent chest CT. A total of 25 cases were excluded from the study based on the following criteria: male patients (n=9), patients with GGN who were either not followed up after CT or had a follow-up period of fewer than 90 days (n=8), patients with no thin-section chest CT (≤3 mm slice thickness) (n=5), and patients with diffuse lung metastasis (n=3) due to limited evaluation for detection of GGN. Finally, 1,384 patients were included to calculate the prevalence of GGN and lung cancer detected on chest CT. To evaluate GGN growth, we only included GGNs that met two specific criteria: (I) persistence for at least 3 months after the initial CT scan, which defined them as persistent GGNs; and (II) the largest diameter of less than 3 cm on the initial CT scan.

Evaluation of clinical and radiological characteristics

In the study, clinical information including age, history of malignancy other than breast or lung cancer, TNM stage of breast cancer, and history of radiation therapy was evaluated. We primarily examined formal chest CT reports to identify GGNs and one thoracic radiologist (H.N.L.) with 9 years of experience in chest radiology reviewed the initial chest CT images to find persistent GGNs. Following that, radiologic features of GGNs were assessed, including nodule type (pure or part-solid), location, total number, presence of air-bronchogram, and follow-up duration post-CT. Two thoracic radiologists (H.N.L. with 9 and J.I.K. with 13 years of experience in thoracic CT imaging, respectively) independently measured the long diameter of GGNs on initial and follow-up chest CT on lung windows on Picture Archiving and Communication Systems (PACS); in case of measurement discrepancies, GGN growth categorization was reached by discussion. GGN growth was defined as an interval increase in long diameter greater than 2 mm on follow-up chest CT (19,20). If a patient had multiple GGNs, we selected one representative GGN with the largest diameter or solid component. In addition, we also calculated volume doubling time (VDT) for GGNs with growth group using a semi-automatic software program (AVIEW, version 1.1.42.7, Coreline Soft, Seoul, Republic of Korea) (Figure 1). VDT was calculated using the Schwartz formula (ln2×ΔT)/[ln(V2/V1)], where ln is the natural logarithm, V1 and V2 are initial and final tumor volumes, and ΔT is the time elapsed between initial and final scans.

Figure 1 GGN with an interval growth in a 74-year-old woman with a history of breast cancer. A 11.8 mm GGN in left lingular segment is noted on axial chest CT image (A) and 3D volume rendering image (B). CT image acquired 4 years later at a routine follow-up exhibits interval growth of the GGN with a diameter of 19.3 mm (C,D). The VDT was 668 days and the nodule was confirmed as adenocarcinoma after surgical resection. GGN, ground glass nodule; CT, computed tomography; 3D, three-dimensional; VDT, volume doubling time.

Pathologic and molecular analysis

For patients diagnosed with lung cancer, the results of pathology and pathologic TNM stage were investigated. The pathologic stage of lung cancer was determined using the 8th edition TNM classification by the Union Internationale Contre le Cancer and American Joint Committee on Cancer (AJCC) (21). Molecular analysis, including EGFR mutation, anaplastic lymphoma kinase gene (ALK) mutation, and c-ros oncogene 1 (ROS1) mutation, was performed using a commercially available polymerase chain reaction-based kit. In addition, programmed death-ligand 1 (PD-L1) expression was examined using the PD-L1 immunohistochemical (IHC) 22C3 pharmDx assay (Agilent Technologies, Santa Clara, CA, USA) that uses tumor proportion score (TPS), which is the percentage of viable tumor cells showing partial or complete membrane staining, to determine PD-L1 protein expression. A TPS of ≥1% is considered positive, while a TPS of <1% is considered negative. In the positive group, TPS scores of 1% to 49% are classified as low PD-L1 expression, and TPS scores of ≥50% are classified as high PD-L1 expression (22,23).

The pathological staging of breast cancer was based on the AJCC staging system 8th edition (24). We evaluated standard IHC markers, including estrogen receptor (ER), progesterone receptor (PR), and human epidermal growth factor receptor (HER2). Subsequently, we classified breast cancer into luminal A, luminal B, HER2-positive, and triple-negative subtypes based on surrogate definitions of intrinsic subtypes of breast cancer (25).

Chest CT scan

Chest CT was performed using 16- or 64-row multi-detector CT (MDCT) (Brilliance 16- and 64-row CT scanners; Philips Medical Systems, Cleveland, OH, USA), and 256-row MDCT (Revolution CT; GE Healthcare, Milwaukee, WI, USA). The CT parameters for 16-/64-row MDCT were as follows: detector collimation =0.75/0.625 mm; pitch =1.188/1.014; gantry rotation time =0.75/0.5 s; matrix size =512×512 pixels; tube voltage =120 kVp; tube current time product =30–200 mAs; slice thickness =3 mm. For 256-row MDCT, the parameters were: collimation =0.625 mm; pitch =0.992; gantry rotation time =0.5 s; matrix size =512×512; tube voltage =120 kVp; tube current time product =50–175 mAs; slice thickness =2.5 mm. In clinical practice, when GGNs are detected in chest CT images, thin section images of 1 or 1.25 mm are examined on another workstation and then it was sent to the PACS.

Statistical analyses

Statistical analysis was performed using SPSS version 29 (IBM Corporation, Armonk, NY, USA). Measurement data are expressed as mean ± standard deviation or median with an interquartile range.

To compare the clinical and radiologic features of GGNs with or without growth, we used Pearson’s chi-squared and Fisher’s exact tests for categorical variables and the independent samples t-test or Mann-Whitney U test for continuous data. Multivariable logistic regression analyses were used to identify independent factors for GGN growth. All covariates with P<0.05 in univariate analysis were included in multivariate analysis.


Results

Prevalence and long-term follow-up of GGNs in patients with breast cancer

Among 1,384 patients who underwent chest CT for breast cancer, 69 (5.0%) had at least one persistent GGN and the remaining 1,315 patients including 20 patients with transient GGNs, had no persistent GGNs. Among 69 persistent GGNs, 27 (39.1%) exhibited interval growth and 42 (60.9%) were stable in size on follow-up chest CT. For 27 GGNs with growth group, the median VDT was 1,006.0 days (interquartile range, 622.0–1,528.0 days) during the median 959.0 follow-up days (interquartile range, 612.0–1,645.0 days). The clinicopathologic characteristics of patients with breast cancer with GGNs are summarized in Table 1.

Table 1

Clinicopathologic characteristics of breast cancer patients with pulmonary GGNs

Characteristics Total patients (n=69) Patients with GGN growth (n=27) Patients with GGN stable (n=42) P value
Age (years) 58.1±10.6 63.3±11.5 54.7±8.4 0.002
History of malignancy 0.299
   Yes 9 (13.0) 5 (18.5) 4 (9.5)
   None 60 (87.0) 22 (81.5) 38 (90.5)
Smoking history 0.391
   None 68 (98.6) 26 (96.3) 42 (100.0)
   Ex smoker 0 (0.0) 0 (0.0) 0 (0.0)
   Current smoker 1 (1.4) 1 (3.7) 0 (0.0)
Family history of lung cancer 0.663
   None 66 (95.7) 26 (96.3) 40 (95.2)
   Yes 3 (4.3) 1 (3.7) 2 (4.8)
T stage n=66 n=26 n=40 0.107
   Tis 4 (6.1) 0 (0.0) 4 (10.0)
   T1, T2 56 (84.8) 22 (84.6) 34 (85.0)
   T3, T4 6 (9.1) 4 (15.4) 2 (5.0)
N stage n=58 n=22 n=36 0.529
   N0 45 (77.6) 16 (72.7) 29 (80.6)
   N1–3 13 (22.4) 6 (27.3) 7 (19.4)
Intrinsic subtype§ n=66 n=26 n=40 0.504
   Luminal A 27 (40.9) 11 (42.3) 16 (40.0)
   Luminal B 24 (36.4) 7 (26.9) 17 (42.5)
   HER2 overexpression 6 (9.1) 3 (11.5) 3 (7.5)
   Triple negative 9 (13.6) 5 (19.2) 4 (10.0)
Radiation therapy n=66 n=26 n=40 0.607
   Yes 48 (72.7) 18 (69.2) 30 (75.0)
   No 18 (27.3) 8 (30.8) 10 (25.0)

Data are presented as mean ± standard deviation or n (%). , history of malignancy: papillary thyroid cancer (n=5), carcinoma of cervix (n=2), squamous cell carcinoma of bladder cancer (n=2); , Fisher’s exact test; §, surrogate definitions of intrinsic subtypes of breast cancer classification. GGN, ground glass nodule; HER2, human epidermal growth factor receptor 2.

The mean age of patients with persistent GGNs was 58.1±10.6 years and 68 of 69 patients were non-smoker. When comparing the two groups, the mean age of patients with GGN growth was older than those with stable GGN (63.3±11.5 vs. 54.7±8.4 years, P=0.002). Breast cancer stage and its pathologic characteristics were not significantly different between the two groups (P>0.05). Furthermore, there was no significant difference in the proportion of prior radiation therapy between the two groups (P=0.607). The characteristics of total patients are present in Table S1. The mean age of patients with persistent GGNs or lung cancer was older than the other group (64.5±10.4 vs. 60.3±11.7 years, P=0.001).

Radiological characteristics of persistent GGNs

The radiological characteristics of GGNs in patients with breast cancer are presented in Table 2. The initial GGN diameter was 6.3±3.6 mm, and the majority (85.5%, n=59) were pure GGNs. When the radiological findings between the two groups were compared, the GGN growth group had a larger nodule size (7.6±5.3 vs. 5.5±1.6 mm, P=0.046), a higher ratio of the solid component (33.3% vs. 2.4%, P=0.001), and were more likely to have more than two GGNs than the stable GGN group (37.0% vs. 11.9%, P=0.014). Additionally, the GGN growth group was more likely to show an air-bronchogram (44.4% vs. 16.7%, P=0.012).

Table 2

Radiological findings of GGNs in patients with breast cancer

Characteristics Total patients (n=69) Patients with GGN growth (n=27) Patients with GGN stable (n=42) P value
Initial diameter (mm) 6.3±3.6 7.6±5.3 5.5±1.6 0.046
Initial nodule size (mm) 0.017
   Size <5 28 (40.6) 10 (37.0) 18 (42.9)
   5≤ size <10 36 (52.2) 12 (44.4) 24 (57.1)
   10≤ size <30 5 (7.2) 5 (18.5) 0 (0.0)
Initial nodule type 0.001
   Pure ground-glass 59 (85.5) 18 (66.7) 41 (97.6)
   Part-solid 10 (14.5) 9 (33.3) 1 (2.4)
Location of GGN 0.674
   Upper, middle lobe (RUL, LUL, RML) 43 (62.3) 16 (59.3) 27 (64.3)
   Lower lobe (RLL, LLL) 26 (37.7) 11 (40.7) 15 (35.7)
Numbers of GGN 0.014
   1 54 (78.3) 17 (63.0) 37 (88.1)
   ≥2 15 (21.7) 10 (37.0) 5 (11.9)
Air-bronchogram 0.012
   Yes 19 (27.5) 12 (44.4) 7 (16.7)
   No 50 (72.5) 15 (55.6) 35 (83.3)
Interval time (years) 0.336
   Time <1 7 (10.1) 4 (14.8) 3 (7.1)
   1≤ time <3 22 (31.9) 10 (37.0) 12 (28.6)
   Time ≥3 40 (58.0) 13 (48.1) 27 (64.3)
Location of GGO related with RT n=48 n=18 n=30 0.881
   Ipsilateral 22 (45.8) 8 (44.4) 14 (46.7)
   Contralateral 26 (54.2) 10 (55.6) 16 (53.3)
GGN detection before RT n=48 n=18 n=30 0.282
   Yes 38 (79.2) 16 (88.9) 22 (73.3)
   None/unknown 10 (20.8) 2 (11.1) 8 (26.7)

Data are presented as mean ± standard deviation or n (%). , Fisher’s exact test. GGN, ground glass nodule; RUL, right upper lobe; LUL, left upper lobe; RML, right middle lobe; RLL, right lower lobe; LLL, left lower lobe; RT, radiotherapy.

Regarding radiation therapy, we observed no significant correlation between the direction of the radiation therapy field and the detected GGNs (P=0.881). Moreover, in the majority of patients (79.2%, 38/48), the GGN was detected on CT before undergoing radiation therapy.

Clinical and radiologic factors associated with GGN growth

In multivariate logistic regression analysis, older age [odds ratio (OR), 1.081; 95% confidence interval (CI): 1.009–1.157; P=0.026], part-solid GGN (OR, 29.642; 95% CI: 2.681–327.775; P=0.006) and total number of GGNs (≥2) (OR, 7.361; 95% CI: 1.729–31.338; P=0.007) were significant independent factors for GGN growth.

Prevalence and clinicopathologic characteristics of lung cancer

In our study of 1,384 patients, lung cancer was confirmed in 13 patients (0.9%). Moreover, eight of the 13 patients were diagnosed with lung cancer during follow-up after detection of GGN. Among these, six patients were in the group with GGN growth and two were in the group with stable GGN size. The remaining five patients were diagnosed with lung cancer after the initial detection of a solid nodule or mass during the evaluation of breast cancer. All 13 patients were diagnosed with adenocarcinoma, with one case being minimally invasive adenocarcinoma (Table 3).

Table 3

Histopathological features of lung cancer patients

Characteristics Total patients (n=13)
Confirmation method
   PCNB 3 (23.1)
   Wedge resection 4 (30.8)
   Segmentectomy 1 (7.7)
   Lobectomy 4 (30.8)
   Pneumonectomy 1 (7.7)
Histology (n=10)
   MIA (n=1) 1 (10.0)
    Predominant lepidic pattern 1 (100.0)
   IAC (n=9) 9 (90.0)
    Acinar/papillary pattern 7 (77.8)
    Acinar pattern 1 (11.1)
    Papillary dominant pattern 1 (11.1)
TNM staging (n=10)
   pT1a(mi)N0M0 1 (10.0)
   pT1bN0M0 4 (40.0)
   pT1bNxM0 2 (20.0)
   pT2bN0M0 1 (10.0)
   pT3N0M0 1 (10.0)
   cT3aN1M0 1 (10.0)
EGFR mutation detection
   Negative 4 (30.8)
   Positive 9 (69.2)
    Exon 19 mutation (E19del) 4 (44.4)
    Exon 21 mutation (L858R) 5 (55.6)
ALK mutation detection (n=11)
   Negative 11 (100.0)
   Positive 0 (0.0)
ROS1 mutation detection (n=7)
   Negative 6 (85.7)
   Positive 1 (14.3)
PD-L1 expression (n=10)
   Negative (TPS <1%) 4 (40.0)
   Positive 6 (60.0)
    Low PD-L1 expression (1%≤ TPS ≤49%) 5 (83.3)
    High PD-L1 expression (TPS ≥50%) 1 (16.7)

Data are presented as n (%). , for patients who were confirmed with PCNB, indeterminate results were obtained. PCNB, percutaneous needle biopsy; MIA, minimally invasive adenocarcinoma; IAC, invasive adenocarcinoma; TNM, tumor, node, metastasis; pT, pathologic T; cT, clinical T; EGFR, epidermal growth factor receptor; ALK, anaplastic lymphoma kinase; ROS1, c-ros oncogene 1; PD-L1, programmed death-ligand 1; TPS, tumor proportion score.

All patients were tested for EGFR gene mutation, and 9 of 13 patients (69.2%) demonstrated EGFR mutation including exon 19 mutation (E19del) (n=4) and exon 21 mutation (L858R) (n=5). All 11 patients who were tested for ALK mutation were negative. Furthermore, 6 of 10 patients (60.0%) were positive for PD-L1 expression.


Discussion

In the study, we evaluated the prevalence of GGN and the risk factors for its growth in patients with breast cancer. Incidental GGN was identified in 5% of patients with breast cancer. Older age, part-solid nodules, and more than two GGNs were significant risk factors for its growth.

Two previous studies from China stated that the prevalence of GGN was 14.8% and 18.4% in patients with breast cancer, respectively. However, the prevalence of GGN was relatively low in our study compared with previous studies (17,18). This may be because our study excluded chest CT scans with follow-up of fewer than 3 months, only if GGN was detected, whereas one study excluded all chest CT scans with follow-up of fewer than 3 months regardless of GGN detection, with a smaller estimation of denominator (17). Additionally, another study included GGNs including transient opacity (18). While primary lung cancer rates are modestly higher in breast cancer patients than in the general female population (12), to date, no definitive evidence has been reported regarding whether the detection rates of GGNs in breast cancer patients are higher than those in the general women population. Previous studies have reported that the incidental detection rate of GGNs in females ranges from 5.2% to 10.2% (26,27). However, this value may include transient GGNs or ground-glass opacities (GGOs) for calculation, making a challenge for direct comparisons. Further investigations are necessary to elucidate the potential relationship between GGN detection rates and the prevalence of primary lung cancer in breast cancer patients.

Multiple or synchronous GGOs are defined as more than two GGOs simultaneously observed in one patient (28). According to the Fleischner Society, if there is a GGO at least measuring 6 mm or larger that persists on follow-up CT, multiple primary adenocarcinoma should be considered, and follow-up for 2 to 4 years is recommended to confirm stability (29). In our study, we observed that 15 of 69 (21.7%) patients presented with multiple GGNs, and among these, 11 patients had nodules larger than 6 mm in size. The presence of multiple GGNs suggests a higher malignant potential and analyzing only the representative nodule may have influenced the results. This study is the first report suggesting a correlation between the presence of multiple GGNs and GGN growth.

Lung cancer was detected in 0.9% of patients with breast cancer. Moreover, all diagnosed cases of lung cancer were adenocarcinoma. Lung adenocarcinoma in females who are non-smokers has been recognized as a distinct entity due to its unique epidemiologic, clinical and biological features. In these patients, EGFR mutations are identified as driver mutations (30). Consistent with this finding, our study reveals that nearly all patients, except for one, were non-smokers and demonstrated a notable 69.2% frequency of EGFR mutations.

There are limited studies on EGFR mutations of lung cancer in patients with breast cancer. Although our study has limitations due to the small sample size of confirmed lung cancer cases and the lack of a comparison with lung cancer patients without breast cancer, regarding the EGFR mutation rate, we observed a high incidence of EGFR mutations of 69.2% compared with previous study which reported the highest EGFR mutation frequency of 47% in Asia-Pacific patients with non-small cell lung cancer/adenocarcinoma subgroup (31). A study conducted in China, similar to our research, demonstrated a high EGFR mutation rate of 78.5% in breast cancer patients with secondary lung cancer (18). Other studies have provided evidence of frequent EGFR overexpression in breast cancer patients (32), the involvement of EGFR/HER1 activation in ER signaling, and consequently, a correlation between ER expression and EGFR mutation. The aforementioned findings imply that EGFR signaling might have a significant role in the concurrent development of lung and breast cancers (18,33,34).

We observed that 79.2% (38/48) of GGNs were present before radiation therapy and there was no correlation between a history of radiation therapy and the occurrence of GGN growth. Many studies have investigated the association between radiation therapy and the risk of developing lung cancer. Previous studies demonstrated a substantially increased risk of developing lung cancer in the ipsilateral lung, with smoking being an important risk factor in those receiving radiotherapy (35,36). However, there is currently no definite evidence of an elevated risk of lung cancer associated with advanced radiotherapy techniques (12).

Our study had several limitations. First, it was a retrospective study conducted at a single medical center with a small sample size, which may limit the generalizability of our findings. Second, manual measurement of GGNs can be subject to measurement errors. However, it is a method used in clinical practice and we performed discussion between two experienced radiologists to minimize measurement errors. Third, while our cases of GGNs lacked pathological confirmation, the pure GGNs with stable size have a higher possibility of preinvasive or invasive lung cancer (37). Lastly, chest CT was not dedicated to automated volume measurement, as it was obtained from various vendors and protocols.

In our study, the majority of the incidentally detected GGNs exhibited a pure density and small size. Tumors of pure GGNs have excellent survival after surgical resection (38). Therefore, presence of pure GGNs with small size is not expected to impact long-term survival in most cases. While, there are no definite guidelines for surgical indication for pure GGN, surgery may be considered if the nodule grows in size or if a solid component area forms (37). According to a previous study, among GGNs smaller than 6 mm and stable for 5 years, 13% exhibited growth during follow-up. In our study, 39.1% of patients showed interval growth (19). Hence, given the increasing incidence of breast cancer in young patients, it is advisable to conduct thorough follow-up until the growth of any nodules is confirmed, especially when GGNs risk factors are identified.


Conclusions

We observed incidental findings of GGNs and lung cancer in 5% and 0.9% of patients with breast cancer, respectively. Furthermore, confirmed cases of lung cancer were adenocarcinoma with a high prevalence of EGFR mutation. It is recommended that persistent GGNs in older individuals, part-solid nodules, and multiple GGNs be continuously monitored for the early detection of GGN growth and the treatment of lung cancer.


Acknowledgments

We would like to thank Editage for editing and reviewing this manuscript for English language.

Funding: None.


Footnote

Reporting Checklist: The authors have completed the STROBE reporting checklist. Available at https://jtd.amegroups.com/article/view/10.21037/jtd-23-1605/rc

Data Sharing Statement: Available at https://jtd.amegroups.com/article/view/10.21037/jtd-23-1605/dss

Peer Review File: Available at https://jtd.amegroups.com/article/view/10.21037/jtd-23-1605/prf

Conflicts of Interest: All authors have completed the ICMJE uniform disclosure form (available at https://jtd.amegroups.com/article/view/10.21037/jtd-23-1605/coif). The authors have no conflicts of interest to declare.

Ethical Statement: The authors are accountable for all aspects of the work in ensuring that questions related to the accuracy or integrity of any part of the work are appropriately investigated and resolved. The study was conducted in accordance with the Declaration of Helsinki (as revised in 2013). The retrospective study was approved by the Institutional Review Board of Kyung Hee University Hospital at Gangdong (approval No. 2023-02-016) and informed consent was waived owing to the retrospective nature of the study.

Open Access Statement: This is an Open Access article distributed in accordance with the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License (CC BY-NC-ND 4.0), which permits the non-commercial replication and distribution of the article with the strict proviso that no changes or edits are made and the original work is properly cited (including links to both the formal publication through the relevant DOI and the license). See: https://creativecommons.org/licenses/by-nc-nd/4.0/.


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Cite this article as: Ryu HS, Lee HN, Kim JI, Ryu JK, Lim YJ. Incidental detection of ground glass nodules and primary lung cancer in patients with breast cancer: prevalence and long-term follow-up on chest computed tomography. J Thorac Dis 2024;16(3):1804-1814. doi: 10.21037/jtd-23-1605

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