Vol 29, No 4 (2024)
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Effect of patient and tumor characteristics on respiratory motion in early-stage peripheral lung cancer (Tis ~ T2bN0M0) treated with stereotactic body radiation therapy (SBRT)

Norio Mitsuhashi1, Daichi Tominaga1, Hajime Ikeda2, Fumiya Shiina1, Keiko Fukaya1, Yoshitaka Nemoto1
Rep Pract Oncol Radiother 2024;29(4):458-477.

Abstract

Background: Recent advances in stereotactic body radiation therapy (SBRT) technology for early-stage peripheral lung cancer have been remarkable and are becoming a viable alternative to surgery. However, the most important problem in performing SBRT correctly is minimizing the respiratory motion of the tumor.

Materials and methods: Thirty-eight patients treated with SBRT were evaluated to clarify factors affecting respiratory motion of early-stage peripheral lung cancer in the management of restrictive breathing technique (abdominal compression) to reduce respiratory tumor motion in SBRT. We investigated age, gender, body mass index (BMI), Brinkman index (BI), forced expiratory volume in 1 second (FEV 1.0), and type of ventilatory impairment as patient factors, and T-factor, stage, tumor-bearing lung lobe, and tumor pathology as tumor factors. Respiratory motion was assessed by volume differences between clinical target volume (CTV) and internal target volume (ITV). The degree of tumor motion due to respiration was compared using the formula of (ITV-CTV)/CTV as an index.

Results: In the results, univariate analyses showed that only age was a significant predictor of respiratory tumor motion (p = 0.048). In multi-variate analyses, only T factor was an independent significant predictor of respiratory tumor motion (p = 0.045), while there was a significant trend for age (p = 0.061), and tumor location (p = 0.067).

Conclusions: In late elderly patients or T1a tumor, respiratory motion in early-stage peripheral lung cancer was significantly large. However, it is not predictable by patient and tumor characteristics. Therefore, respiratory motion of the tumor should be measured in all patients in some way.

research paper

Reports of Practical Oncology and Radiotherapy

2024, Volume 29, Number 4, pages: 468–477

DOI: 10.5603/rpor.101531

Submitted: 06.12.2023

Accepted: 11.07.2024

© 2024 Greater Poland Cancer Centre.

Published by Via Medica.

All rights reserved.

e-ISSN 2083–4640

ISSN 1507–1367

Effect of patient and tumor characteristics on respiratory motion in early-stage peripheral lung cancer (Tis ~ T2bN0M0) treated with stereotactic body radiation therapy (SBRT)

Norio Mitsuhashi1Daichi Tominaga1Hajime Ikeda2Fumiya Shiina1Keiko Fukaya1Yoshitaka Nemoto1
1Radiation Therapy Center, Hitachinaka General Hospital, Hitachinaka, Japan
2Department of Radiotherapy, Hitachinaka General Hospital, Hitachinaka, Japan

Address for correspondence: Norio Mitsuhashi, Hitachinaka General Hospital, Radiation Therapy Center, 20-1, Ishikawa-cho, Hitachinaka-shi, Ibaraki-ken, 312-0057 Japan; e-mail: norio.mitsuhashi.dm@hitachi.com

This article is available in open access under Creative Common Attribution-Non-Commercial-No Derivatives 4.0 International (CC BY-NC-ND 4.0) license, allowing to download articles and share them with others as long as they credit the authors and the publisher, but without permission to change them in any way or use them commercially

Abstract
Background: Recent advances in stereotactic body radiation therapy (SBRT) technology for early-stage peripheral lung cancer have been remarkable and are becoming a viable alternative to surgery. However, the most important problem in performing SBRT correctly is minimizing the respiratory motion of the tumor.
Materials and methods: Thirty-eight patients treated with SBRT were evaluated to clarify factors affecting respiratory motion of early-stage peripheral lung cancer in the management of restrictive breathing technique (abdominal compression) to reduce respiratory tumor motion in SBRT. We investigated age, gender, body mass index (BMI), Brinkman index (BI), forced expiratory volume in 1 second (FEV 1.0), and type of ventilatory impairment as patient factors, and T-factor, stage, tumor-bearing lung lobe, and tumor pathology as tumor factors. Respiratory motion was assessed by volume differences between clinical target volume (CTV) and internal target volume (ITV). The degree of tumor motion due to respiration was compared using the formula of (ITV–CTV)/CTV as an index.
Results: In the results, univariate analyses showed that only age was a significant predictor of respiratory tumor motion (p = 0.048). In multi-variate analyses, only T factor was an independent significant predictor of respiratory tumor motion (p = 0.045), while there was a significant trend for age (p = 0.061), and tumor location (p = 0.067).
Conclusions: In late elderly patients or T1a tumor, respiratory motion in early-stage peripheral lung cancer was significantly large. However, it is not predictable by patient and tumor characteristics. Therefore, respiratory motion of the tumor should be measured in all patients in some way.
Key words: SBRT; respiratory motion management; early-stage lung cancer
Rep Pract Oncol Radiother 2024;29(4):468–477

Introduction

In recent years, stereotactic body radiation therapy (SBRT) for early-stage lung cancer has become very popular due to advances in safe techniques [1–5]. SBRT is becoming an alternative treatment to surgery, especially for medically inoperable patients and the elderly [6–9]. We have previously reported the results of SBRT for early-stage peripheral lung cancer in 33 patients. We conclude that SBRT can be performed in elderly patients for the treatment of early-stage peripheral lung cancer with satisfactory therapeutic outcomes [10].

In SBRT for early-stage lung cancer, tumor motion during respiration cannot be ignored [11, 12]. Various methods have been developed to reduce the volume of the normal lung that gets irradiated. Methods that deal with the patient’s respiratory motion can be broadly classified into five categories: motion-encompassing, respiratory-gating, breath-hold, forced shallow breathing with abdominal compression, and real-time tumor tracking [13].

In the absence of respiratory-gating equipment at our institution, a respiratory-gating technique with abdominal compression was adopted for SBRT in early-stage peripheral lung cancer. Therefore, we investigated the patient and tumor characteristics that influence respiratory tumor motion using the formula:

(internal target volume (ITV) – clinical target volume (CTV))/CTV

as an index.

Materials and methods

We conducted a retrospective analysis to determine the effect of patient and tumor characteristics on lung tumor respiratory motion in patients with early-stage peripheral lung cancer (Tis ~ T2bN0M0) treated with SBRT.

Patients were recruited from an institutional cohort database between September 2019 and December 2022. Thirty-eight patients underwent SBRT during the study period. All of the patients provided written informed consent to undergo SBRT. Because this was a retrospective analysis of clinical data, the Institutional Review Board was notified of the study, but approval was not required.

We evaluated age, sex, body mass index (BMI), Brinkman index (BI), forced expiratory volume in 1s (FEV1.0), and type of ventilatory impairment as patient factors, and T-factor, stage, tumor location (tumor-bearing lung lobe), and tumor pathology as tumor factors.

Respiratory tumor motion was assessed using the volume difference between the CTV and ITV. The degree of respiratory tumor motion was compared using the formula:

(ITV – CTV)/CTV

as an index.

Table 1 shows the characteristics of the patient. Twenty-three males and 15 females were enrolled in the study. The median age and the mean age ± standard deviation (SD) were 82 and 81.5 ± 5.3 years, respectively (range 70–89 years). The mean age ± SD was 80.0 ± 5.5 years for the males and 83.8 ± 4.4 years for the females, indicating that the females were older. Regarding BMI, 24/38 patients (63%) were of normal weight (18.5 < BMI < 25). Fourteen patients (37%) were non-smokers, while 18 (48%) were heavy smokers, with a BI600. Twenty patients (52%) had an FEV1.0 < 1.5 L. Regarding the type of ventilatory impairment, 21 patients (55%) had ventilatory impairment, of whom 3 had restrictive impairment, 12 had obstructive impairment and 6 had mixed impairment.

Table 1. Demographic characteristics

Variable

No. of Pts. (%)

Average age ± SD [yrs.]

Total

81.5 ± 5.3 (median: 82)

Male

80.0 ± 5.5 (median: 81)

Female

83.8 ± 4.4 (median: 85)

Sex

Male

23 (61%)

Female

15 (39%)

BMI

Underweight

6 (16%)

Normal weight

24 (63%)

Obesity

8 (21%)

BI

0

14 (37%)

1 ~ 399

2 (5%)

400 ~ 599

4 (10%)

600 ~1199

9 (24%)

1200 ~

9 (24%)

FEV1.0 (L)

~ 1

7 (18%)

1 ~ 1.5

13 (34%)

1.5 ~ 2

8 (21%)

2 ~ 2.5

4 (11%)

2.5 ~

6 (16%)

Ventilatory impairment

Normal

17 (45%)

Restrictive type

3 ( 8%)

Obstructive type

12 (31%)

Mixed type

6 (16%)

Table 2 shows the tumor characteristics. Tumors arising from the right upper and lower lobes were the most common (29% each). For T-factor, 2 patients had Tis, 3 had T1min, 2 had T1a, 13 had T1b, 10 had T1c, 7 had T2a, and 1 had T2b disease. The most common stage was stage IA2 (34%), followed by stage IA3 (26%). Only 13 (34%) patients were histopathologically diagnosed with tumors.

Table 2. Tumor characteristics

Variable

No. of Pts. (%)

Tumor location

Left lobe

Upper

8 (21%)

Lower

5 (13%)

Right lobe

Upper

11 (29%)

Middle

3 (8%)

Lower

11 (29%)

T factor

Tis

2 (5%)

Tmin

3 (9%)

T1a

2 (5%)

T1b

13 (34%)

T1c

10 (26%)

T2a

7 (18%)

T2b

1 (3%)

Stage

0

2 (5%)

IA1

5 (13%)

IA2

13 (34%)

IA3

10 (26%)

IB

7 (18%)

IIA

1 (3%)

Pathology

Adenocarcinoma

8 (21%)

Squamous cell carcinoma

3 (9%)

Non-small cell carcinoma

2 (5%)

None

25 (65%)

Patient immobilization and respiratory restriction

The respiratory restriction technique (abdominal compression) was used to reduce tumor motion during respiration. During computed tomography (CT) simulation, all patients were immobilized with a Vac-LokTM pad and HipFiXR. The cushion was placed at the level of the diaphragm to suppress respiratory motion. The pressure applied by the cushion was as high as the patient could tolerate.

Clinical target volume (CTV) and internal target volume (ITV) delineation

For treatment planning, CT without contrast enhancement during three respiratory phases (normal shallow breathing, shallow hold inspiration, and shallow hold respiration) to determine the ITV. CT was performed on 2 consecutive days to determine daily changes in the ITV.

The gross tumor volume (GTV) was delineated in the normal shallow breathing phase on the first day using the lung window. No margins were added for the microscopic extension (CTV = GTV). The ITV was determined from the remaining 5 respiratory phases using CT images acquired over the course of two days. The ITV was generated by combining the 6 phase-sorted GTVs.

To eliminate interobserver variability, the target volumes were delineated on the CT images by the same two radiation oncologists using Pinnacle version 9.10 (Koninklijke Philips N.V., Amsterdam, The Netherlands). All patients were treated with an ITV-based strategy with an additional ITV-to-PTV margin of 3 mm.

Evaluation and statistical analyses

Age, BMI, BI and FEV1.0 were analyzed as continuous variables. Gender, type of ventilatory impairment, T-factor, stage, tumor location (tumor-bearing lung lobes), and pathological diagnosis were analyzed as categorical variables.

Univariate analyses of possible variables affecting (ITV–CTV)/CTV were performed using unpaired two-tailed t-tests for categorical variables and regression analyses for continuous variables.

Multiple regression analysis was used to identify the interactions between different factors associated with tumor motion and ((ITV–CTV)/CTV). To analyze the relationship between patient and tumor values and (ITV–CTV)/CTV, we performed multilinear regression with patient and tumor values as predictor variables and (ITV–CTV)/CTV as the response variable. Age, BMI, BI and FEV1.0 were analyzed as continuous variables. Gender, type of ventilatory impairment, T-factor, and tumor location (tumor-bearing lung lobes) were analyzed as categorical variables. The values of these parameters are shown in Table 3. Histopathological type and clinical stage classification were excluded from multivariate analysis because 25/38 patients had no pathological diagnosis, and stage classification was almost the same as the T-factor, except for stage IA1.

Table 3. Factors’ values assigned in the stepwise multiple linear regression model

Variable

Value

Age

Primary value

Sex

Male = 0, Female = 1

BI

Primary value

BMI

Primary value

FEV1.0 [L]

Primary value

Ventilatory impairment

Normal = 0, Restrictive = 1, Obstructive = 2, Mixed = 3

Tumor location (lobe)

LUL = 0, LLL = 1, RUL = 2, RML = 3, RLL = 4

T factor

Tis = 0, Tmin = 1, T1a = 2, T1b = 3, T1c = 4, T2a = 5, T2b = 6

The mean age of the top 10 patients with the greatest respiratory tumor motion ((ITV–CTV)/CTV) was compared with the remaining 28 patients with less respiratory tumor motion by Welch’s t-test.

Statistical significance was set at p < 0.05. All statistical analyses were performed with MicrosoftR ExcelR for Windows (version 2305) (Microsoft Corporation, Redmond, WA, USA).

Results

Correlation between CTV and ITV

A very strong correlation was observed between the ITV and CTV (y = 1.5041x + 2.2348, R² = 0.8303, p = 1.96173E-15). The ITV also showed a very strong correlation with (ITV–CTV) (y = 0.448x + 20.1525, R² = 0.7632, p = 8.23057E-13). As shown in Figure 1A, (ITV/CTV)/CTV showed a correlation with CTV (y = –0.0583x + 1.4618, R² = 0.1709, p = 0.0.009881), but not with ITV (y = –0.0103x + 1.2119, R² = 0.0145, p = 0.471007).

154882.png
Figure 1. Scatter plots of continuous distribution of respiratory tumor motion assessed as (ITVCTV)/CTV and various categorized values. CTV clinical target volume; ITV internal target volume. A. CTV; B. Age; C. Body mass index (BMI); D. Forced expiratory volume in 1 second FEV1.0 (1 s volume); E. Brinkmann Index (BI)
Patient characteristics influencing respiratory tumor motion

Tumor respiratory motion, expressed as (ITV–CTV)/CTV, was significantly greater in elderly patients (y = 0.043x – 2.4684, R² = 0.1037, p = 0.048664) (Fig. 1B). Although the mean respiratory motion of the tumor ± SD was greater in females than in males (1.321 ± 0.757 in females and 0.940 ± 0.678 in males), there was no statistically significant difference between the genders (p = 0.115) (Fig. 2A). The (ITV–CTV)/CTV was lower in underweight patients (BMI < 18.5) than in normal weight (18.5 < BMI < 25) or obese patients (BMI > 25), but the difference was not significant (p = 0.301) (Fig. 1C). There was no significant correlation between (ITV–CTV)/CTV and FEV1.0 (p = 0.631) (Fig. 1D), or Brinkman index (p = 0.148) (Fig. 1E). Type of respiratory impairment did not affect (ITV–CTV)/CTV (Fig. 2B).

154873.png
Figure 2. Box and whisker plots of the distribution of respiratory tumor motion assessed as (ITVCTV)/CTV between different categories of values. CTV clinical target volume; ITV internal target volume. A. Sex; B. Types of ventilatory impairment; C. T-stages; D. Clinical stages; E. Tumor-bearing lung lobes; F. Histopathological types of tumors
Tumor characteristics affecting tumor respiratory motion

The mean (ITV–CTV)/CTV ratio was 2.041 for T1a tumors and 0.884 for T2a tumors. A significant trend was observed in both groups (p = 0.0537) (Fig. 2C).

There was no clear correlation between (ITV–CTV)/CTV and stage (Fig. 2D). Tumor location (lung lobe) did not affect (ITV–CTV)/CTV (Fig. 2E). No correlation was observed between the histopathological type and (ITV–CTV)/CTV (Fig. 2F).

Results of multi-regression analysis of factors affecting respiratory tumor movement.

The results of the multivariate analysis are summarized in Table 4. Only the T-factor was an independent significant predictor of (ITV–CTV)/CTV (p = 0.045), while other variables were not. However, there was a significant trend for age (p = 0.061) and tumor location (p = 0.067) to be significant predictors of (ITV–CTV)/CTV.

Table 4. Results of multivariate regression analysis of various factors affecting respiratory tumor motion

Regression statistics

Multiple R

0.591686

R Square

0.350093

Adjusted R Square

0.170808

SE

0.660129

Observations

38

df

SS

MS

F

Significance F

Regression

8

6.807489

0.850936

1.952717445

0.089656976

Residual

29

12.637337

0.435770

Total

37

19.444826

Coefficients

SE

t Sat.

p-value

Lower 95%

Upper 95%

Intercept

–1.122

2.292.

–0.489

0.628

–5.810

3.567

Age.

0.049

0.025

1.951

0.061

-0.002

0.100

Sex

–0.193

0.428.

–0.451

0.655

–1.069

0.683

BI

–0.000

0.000

–0.675

0.505

0.001

0.000.

BMI

0.019

0.033

0.567

0.575

–0.049

0.087

FEV1.0 [L]

–0.305

0.295

–1.034

0.310

–0.908

0.298

Ventilatory impairment

–0.134

0.171

–0.781

0.441

–0.484

0.217

Tumor location (lobe)

–0.144

0.075

–1.909

0.067

–0.298

0.010

T factor

–0.188

0.090

–2.098

0.045

–0.371

–0.005

Characteristics of the top 10 patients with the greatest (ITV–CTV)/CTV

Table 5 summarizes the characteristics of the top 10 patients with the greatest respiratory tumor motion. All 10 patients were late elderly (> 80 years old), and their mean age ± SD was 85.1 ± 2.8 years. They were significantly older than the remaining 28 patients with less respiratory tumor motion at 80.2 ± 5.5 years (p = 0.0012).

Table 5. Characteristics of top 10 patients with the highest (ITVCTV)/CTV among the patients enrolled in this study

Patient

Age

Sex

BMI

T factor

Stage

Tumor location

1sec rate (L)

BI

Ventilation

CTV

ITV

ITVCTV

(ITVCTV)/CTV

Histology

Complications

1

88

F

23.1

2a

IB

lt-S3

0.98

1100

Normal

3.94

11.88

7.94

2.02

Adenocarcinoma

Concurrent double cancer (cervical cancer), late elderly

2

86

F

20.3

1c

IA3

rt-S1

0.79

0

Normal

3.17

11.16

7.99

2.52

Adenocarcinoma

No surgical endurance, low respiratory function, late elderly

3

81

F

25.3

1a

IA1

lt-S5

1.06

600

Normal

1.42

5.29

3.87

2.73

Past history of malignant lymphoma, late elderly

4

84

M

22.1

1b

IA2

lt-S1/2

2.26

1280

Obstructive

1.21

4.62

3.41

2.82

COPD, late elderly

5

89

M

27.5

1c

IA3

lt-S1/2

2.75

150

Normal

6.91

20.95

14.04

2.03

Cerebral infarction, late elderly

6

82

M

24.5

1b

IA2

lt-S8

0.81

600

Mix

5.92

17.13

11.21

1.89

No surgical endurance, low respiratory function, hearing impairment, late elderly

7

85

F

21.8

1min

IA1

rt-S2

1.43

0

Normal

1.96

5.03

3.07

1.57

Late elderly

8

89

F

27.6

1b

IA2

rt-S1

1.08

1000

Obstructive

1.64

4.22

2.58

1.57

COPD, late elderly

9

83

M

23.3

1b

IA2

rt-S2

2.03

150

Normal

1.12

3.30

2.18

1.95

Renal dysfunction, late elderly

10

84

F

30.1

1b

IA2

rt-S10

1.35

0

Normal

2.06

5.88

3.52

1.71

No surgical endurance, arial fibrillation, pulmonary hypertension, late elderly

Their BMI was greater than 20. Nine of the 10 patients were not only late elderly but also had some comorbidities. No consistent trend was observed between respiratory impairment, FEV1.0 or BI, and respiratory tumor motion.

In 8 of the 10 patients, the tumor was located in the upper lobe (Lt: 4 out of 5 patients, Rt: 4 out of 5 patients). There was no clear relationship between variables associated with tumor size, such as T-factor, stage, and CTV, and respiratory motion of the tumor.

Discussion

Until recently, surgery was the first-line treatment for early stage non-small cell lung cancer (NSCLC) and SBRT was recommended for medically inoperable patients [6–9]. Lagerwaard et al.’s data indicate that SBRT should be considered the treatment of choice for patients with stage I NSCLC who are at high risk of surgical toxicity [6]. Viani et al. reported the results of a recent meta-analysis that included 29,511 patients in a trial that compared the effectiveness of SBRT versus surgery for early-stage NSCLC. They concluded that surgery generally resulted in better 3-year overall survival and cause-specific survival than SBRT; however, publication bias and heterogeneity may have influenced these results. In contrast, SBRT produced local control similar to that of surgery [14]. Whether SBRT is an appropriate treatment option for patients who are candidates for surgery remains controversial [7]. However, recent advances in SBRT technology have been remarkable, and SBRT is increasingly considered to be a well-tolerated outpatient procedure with local tumor control rates reported to exceed 90%, making it an attractive alternative to invasive surgery and a viable alternative [15]. Tandberg et al. reported a comprehensive review of surgery versus SBRT for stage I NSCLC [8]. Chi also reported that there may be situations where SBRT is a reasonable alternative to surgery [7].

The most important factor for correctly performing SBRT in early-stage NSCLC is the minimization of respiratory tumor motion. Therefore, efforts are needed to reduce respiratory tumor motion (internal margins). American Association of Physicists in Medicine (AAPM) Task Group 76 reported on the management of respiratory motion in radiation oncology. The methods developed to reduce the effects of respiratory tumor motion in radiotherapy can be broadly grouped into five main categories, as mentioned in the Introduction: Nagata et al. reported that the methods dealing with the patient’s respiratory tumor motion can be broadly divided into the breath- holding, restricted breathing (abdominal compression), and respiratory gating techniques [16]. Each method has its strengths and weaknesses, and each should be fully understood before being adopted in clinical practice.

Methods using fluoroscopy, CT, and magnetic resonance imaging (MRI) have been developed to evaluate the respiratory motion in lung tumors, and many reports have been published on the evaluation of tumor motion using each of these methods [6, 17–26].

In our study, we did not use a direct evaluation method, such as measuring the motion distance in three axial directions using images, but we considered the difference in volume between the ITV and CTV as an indirect indicator to evaluate the respiratory motion of peripheral lung tumors. Naturally, the difference will be larger in large tumors than in small ones (y = 1.5041x + 2.2348, R² = 0.8303, p = 1.96173E-15). Therefore, we hypothesized that the value obtained by dividing (ITVCTV) by CTV ((ITV–CTV)/CTV) would be an objective index for evaluating respiratory motion in peripheral lung tumors of different sizes, regardless of whether the CTV was large or small, and we compared the magnitude of respiratory motion using (ITVCTV)/CTV.

In the univariate analysis, only age was correlated with respiratory tumor motion, and the respiratory motion of peripheral lung tumors was significantly greater in the elderly than in the younger adults (p = 0.049). However, in the multivariate analysis, although the T-factor was the only factor that was significantly correlated with peripheral lung tumor respiratory motion (p = 0.045), significant trend correlations were observed between age and respiratory motion of the tumor (p = 0.061), and between tumor location (lobe) and respiratory tumor motion (p = 0.067).

Lung tumor motion is primarily driven by diaphragmatic motion [19, 27]. Therefore, many studies have already reported that unfixed tumors located in the lower lobe [19] or in the lower half of the lung [28, 29] show the greatest amount of motion, usually along the SI axis [13, 19,20]. Ross reported that tumors in the upper lobes showed minimal motion [24].

Lung tumors show remarkable mobility in all directions, but this does not correlate closely with the anatomical location [22, 23, 28, 29].

As females tend to perform thoracic breathing and males abdominal breathing, the association of sex with the type of breathing affects the respiratory motion of the tumor. In this study, although the mean respiratory motion of the tumor was greater in females than in males, there was no statistically significant difference between the sexes (p = 0.115).

Abdominal compression was used to suppress the respiratory motion of the lung tumor; however, the degree of abdominal compression is thought to depend on the patient’s body type, such as BMI. It is thought that obese patients are more likely to be able to suppress respiratory motion. However, abdominal compression suppresses respiratory motion more during inspiration more in obese patients than in lean patients. However, because respiratory motion during expiration tends to be greater in lean patients, the difference due to BMI was unclear in this study.

Qi et al. showed that abdominal compression did not reduce the motion of peripheral lung tumors, and GTV motion was not significantly reduced in any of the three measured directions or in the 3D vector, regardless of the location of the tumor in the lung [30].

In this study, there was no clear relationship between pulmonary function tests such as FEV 1.0 or the type of ventilatory impairment. Several reports have already shown that the respiratory motion of lung tumors is not associated with pulmonary function test results [22, 28, 31]. Considering these reports and our results, it cannot be said that the respiratory motion of lung tumors is greater in patients with poor respiratory function. In contrast, Herman et al. reported that tumor motion was minimal in medically inoperable patients, mainly because of severe COPD [32].

Univariate analysis showed a significantly greater respiratory motion of the tumor in the elderly, and multivariate analysis also showed a significant trend. However, the pulmonary function tests results in the elderly were not necessarily impaired, and the cause could not be determined. It is possible that the elderly patients were not properly instructed to take repeated shallow breaths in the treatment room due to poor comprehension or hearing loss.

Conclusions

Various patient and tumor characteristics were evaluated to clarify the predictor of respiratory motion in early-stage peripheral lung tumors using (ITC-CTV)/CTV in the management of the restricted breathing technique (abdominal compression) to reduce tumor motion during breathing in SBRT. The results showed that although the respiratory motion in early-stage peripheral lung cancer was significantly correlated with the T-factor and patient age, it could not be predicted by the patient and tumor characteristics evaluated in the current study. Therefore, tumor respiratory motion should be assessed in all patients treated with SBRT. (ITC-CTV)/CTV may be an effective indicator of tumor respiratory motion.

Conflict of interests

The authors declare no conflict of interests.

Fundings

The authors did not receive support from any organization for the submitted work.

References

  1. Allibhai Z, Taremi M, Bezjak A, et al. The impact of tumor size on outcomes after stereotactic body radiation therapy for medically inoperable early-stage non-small cell lung cancer. Int J Radiat Oncol Biol Phys. 2013; 87(5): 1064–1070, doi: 10.1016/j.ijrobp.2013.08.020, indexed in Pubmed: 24210082.
  2. Rodríguez De Dios N, Navarro-Martin A, Cigarral C, et al. GOECP/SEOR radiotherapy guidelines for small-cell lung cancer. World J Clin Oncol. 2021; 12(3): 115–143, doi: 10.5306/wjco.v12.i3.115, indexed in Pubmed: 33767969.
  3. Nagata Y, Hiraoka M, Shibata T, et al. Prospective Trial of Stereotactic Body Radiation Therapy for Both Operable and Inoperable T1N0M0 Non-Small Cell Lung Cancer: Japan Clinical Oncology Group Study JCOG0403. Int J Radiat Oncol Biol Phys. 2015; 93(5): 989–996, doi: 10.1016/j.ijrobp.2015.07.2278, indexed in Pubmed: 26581137.
  4. Haridass A. Developments in Stereotactic Body Radiotherapy. Cancers (Basel). 2018; 10(12), doi: 10.3390/cancers10120497, indexed in Pubmed: 30544488.
  5. Schneider BJ, Daly ME, Kennedy EB, et al. Stereotactic Body Radiotherapy for Early-Stage Non-Small-Cell Lung Cancer: American Society of Clinical Oncology Endorsement of the American Society for Radiation Oncology Evidence-Based Guideline. J Clin Oncol. 2018; 36(7): 710–719, doi: 10.1200/JCO.2017.74.9671, indexed in Pubmed: 29106810.
  6. Lagerwaard FJ, Verstegen NE, Haasbeek CJA, et al. Outcomes of risk-adapted fractionated stereotactic radiotherapy for stage I non-small-cell lung cancer. Int J Radiat Oncol Biol Phys. 2008; 70(3): 685–692, doi: 10.1016/j.ijrobp.2007.10.053, indexed in Pubmed: 18164849.
  7. Chi A, Fang W, Sun Y, et al. Comparison of Long-term Survival of Patients With Early-Stage Non-Small Cell Lung Cancer After Surgery vs Stereotactic Body Radiotherapy. JAMA Netw Open. 2019; 2(11): e1915724, doi: 10.1001/jamanetworkopen.2019.15724, indexed in Pubmed: 31747032.
  8. Tandberg DJ, Tong BC, Ackerson BG, et al. Surgery versus stereotactic body radiation therapy for stage I non-small cell lung cancer: A comprehensive review. Cancer. 2018; 124(4): 667–678, doi: 10.1002/cncr.31196, indexed in Pubmed: 29266226.
  9. Onishi H, Shirato H, Nagata Y, et al. Stereotactic Body Radiotherapy (SBRT) for Operable Stage I Non–Small-Cell Lung Cancer: Can SBRT Be Comparable to Surgery? Int J Radiat Oncol Biol Phys. 2011; 81(5): 1352–1358, doi: 10.1016/j.ijrobp.2009.07.1751, indexed in Pubmed: 20638194.
  10. Mitsuhashi N, Nemoto Y, Ikeda H, et al. [Treatment results of stereotactic body radiation therapy (SBRT) for peripheral early-stage lung cancer (T1~T2aN0M0) ]. Hitachi Med J. 2021; 55(1): 23–31.
  11. Korreman SS. Image-guided radiotherapy and motion management in lung cancer. Br J Radiol. 2015; 88(1051): 20150100, doi: 10.1259/bjr.20150100, indexed in Pubmed: 25955231.
  12. Brandner ED, Chetty IJ, Giaddui TG, et al. Motion management strategies and technical issues associated with stereotactic body radiotherapy of thoracic and upper abdominal tumors: A review from NRG oncology. Med Phys. 2017; 44(6): 2595–2612, doi: 10.1002/mp.12227, indexed in Pubmed: 28317123.
  13. Keall PJ, Mageras GS, Balter JM, et al. The management of respiratory motion in radiation oncology report of AAPM Task Group 76. Med Phys. 2006; 33(10): 3874–3900, doi: 10.1118/1.2349696, indexed in Pubmed: 17089851.
  14. Viani GA, Gouveia AG, Yari M, et al. Stereotactic body radiotherapy versus surgery for early-stage non-small cell lung cancer: an updated met-analysis involving 19, 511 patients included in comparative studies. J Bras Pneumol. 2022; 48(3): e20210390.
  15. Nagata Y, Kimura T. Stereotactic body radiotherapy (SBRT) for Stage I lung cancer. Jpn J Clin Oncol. 2018; 48(5): 405–409, doi: 10.1093/jjco/hyy034, indexed in Pubmed: 29635536.
  16. Nagata Y, Hiraoka M, Matsuo Y, et al. Stereotactic body radiation therapy (SBRT) for early-stage lung cancer. Cancer Radiother. 2007; 11(1-2): 32–35, doi: 10.1016/j.canrad.2006.11.001, indexed in Pubmed: 17158081.
  17. Uematsu M, Shioda A, Suda A, et al. Computed tomography-guided frameless stereotactic radiotherapy for stage I non-small cell lung cancer: a 5-year experience. Int J Radiat Oncol Biol Phys. 2001; 51(3): 666–670, doi: 10.1016/s0360-3016(01)01703-5, indexed in Pubmed: 11597807.
  18. Erridge SC, Seppenwoolde Y, Muller SH, et al. Portal imaging to assess set-up errors, tumor motion and tumor shrinkage during conformal radiotherapy of non-small cell lung cancer. Radiother Oncol. 2003; 66(1): 75–85, doi: 10.1016/s0167-8140(02)00287-6, indexed in Pubmed: 12559524.
  19. Liu HH, Balter P, Tutt T, et al. Assessing respiration-induced tumor motion and internal target volume using four-dimensional computed tomography for radiotherapy of lung cancer. Int J Radiat Oncol Biol Phys. 2007; 68(2): 531–540, doi: 10.1016/j.ijrobp.2006.12.066, indexed in Pubmed: 17398035.
  20. Barnes EA, Murray BR, Robinson DM, et al. Dosimetric evaluation of lung tumor immobilization using breath hold at deep inspiration. Int J Radiat Oncol Biol Phys. 2001; 50(4): 1091–1098, doi: 10.1016/s0360-3016(01)01592-9, indexed in Pubmed: 11429237.
  21. Negoro Y, Nagata Y, Aoki T, et al. The effectiveness of an immobilization device in conformal radiotherapy for lung tumor: reduction of respiratory tumor movement and evaluation of the daily setup accuracy. Int J Radiat Oncol Biol Phys. 2001; 50(4): 889–898, doi: 10.1016/s0360-3016(01)01516-4, indexed in Pubmed: 11429216.
  22. Stevens CW, Munden RF, Forster KM, et al. Respiratory-driven lung tumor motion is independent of tumor size, tumor location, and pulmonary function. Int J Radiat Oncol Biol Phys. 2001; 51(1): 62–68, doi: 10.1016/s0360-3016(01)01621-2, indexed in Pubmed: 11516852.
  23. Koste Jv, Lagerwaard F, Nijssen-Visser M, et al. Tumor location cannot predict the mobility of lung tumors: a 3D analysis of data generated from multiple CT scans. Int J Radia Oncol Biol Phys. 2003; 56(2): 348–354, doi: 10.1016/s0360-3016(02)04467-x, indexed in Pubmed: 12738308.
  24. Ross CS, Hussey DH, Pennington EC, et al. Analysis of movement of intrathoracic neoplasms using ultrafast computerized tomography. Int J Radiat Oncol Biol Phys. 1990; 18(3): 671–677, doi: 10.1016/0360-3016(90)90076-v, indexed in Pubmed: 2318701.
  25. Mageras GS, Pevsner A, Yorke ED, et al. Measurement of lung tumor motion using respiration-correlated CT. Int J Radiat Oncol Biol Phys. 2004; 60(3): 933–941, doi: 10.1016/j.ijrobp.2004.06.021, indexed in Pubmed: 15465212.
  26. Plathow C, Ley S, Fink C, et al. Analysis of intrathoracic tumor mobility during whole breathing cycle by dynamic MRI. Int J Radiat Oncol Biol Phys. 2004; 59(4): 952–959, doi: 10.1016/j.ijrobp.2003.12.035, indexed in Pubmed: 15234028.
  27. Shirato H, Seppenwoolde Y, Kitamura K, et al. Intrafractional tumor motion: lung and liver. Semin Radiat Oncol. 2004; 14(1): 10–18, doi: 10.1053/j.semradonc.2003.10.008, indexed in Pubmed: 14752729.
  28. Onimaru R, Shirato H, Fujino M, et al. The effect of tumor location and respiratory function on tumor movement estimated by real-time tracking radiotherapy (RTRT) system. Int J Radiat Oncol Biol Phys. 2005; 63(1): 164–169, doi: 10.1016/j.ijrobp.2005.01.025, indexed in Pubmed: 16111585.
  29. Seppenwoolde Y, Shirato H, Kitamura K, et al. Precise and real-time measurement of 3D tumor motion in lung due to breathing and heartbeat, measured during radiotherapy. Int J Radiat Oncol Biol Phys. 2002; 53(4): 822–834, doi: 10.1016/s0360-3016(02)02803-1, indexed in Pubmed: 12095547.
  30. Qi Y, Li J, Zhang Y, et al. Effect of abdominal compression on target movement and extension of the external boundary of peripheral lung tumours treated with stereotactic radiotherapy based on four-dimensional computed tomography. Radiat Oncol. 2021; 16(1): 173, doi: 10.1186/s13014-021-01889-0, indexed in Pubmed: 34493303.
  31. Baba F, Shibamoto Y, Tomita N, et al. Stereotactic body radiotherapy for stage I lung cancer and small lung metastasis: evaluation of an immobilization system for suppression of respiratory tumor movement and preliminary results. Radiat Oncol. 2009; 4: 15, doi: 10.1186/1748-717X-4-15, indexed in Pubmed: 19476628.
  32. De La Fuente Herman T, Vlachaki MT, Herman TS, et al. Stereotactic body radiation therapy (SBRT) and respiratory gating in lung cancer: dosimetric and radiobiological considerations. J Appl Clin Med Phys. 2010; 11(1): 3133, doi: 10.1120/jacmp.v11i1.3133, indexed in Pubmed: 20160698.