Literature DB >> 33907469

Effectiveness of Image-Guided Radiotherapy in Adjuvant Radiotherapy on Survival for Localized Breast Cancer: A Population-Based Analysis.

Ji-An Liang1,2, Po-Chang Lee3, Chun-Ping Ku3, William Tzu-Liang Chen2,3, Chih-Yuan Chung4, Yu-Cheng Kuo1,2, Szu-Hsien Chou5, Chia-Chin Li6, Chun-Ru Chien1,2,6.   

Abstract

PURPOSE: Image-guided radiotherapy (IGRT) is an advanced radiotherapy technique to improve the radiotherapy delivery. We aimed to compare the overall survival (OS) for localized breast cancer (LBC) patient treated with adjuvant conventional fractionated radiotherapy (CFRT) using IGRT vs those without IGRT via a population-based analysis. PATIENTS AND METHODS: Eligible LBC patients diagnosed between 2011 and 2013 were identified via the Taiwan Cancer Registry. We used propensity score (PS) weighting to balance observable potential confounders between groups. The hazard ratio (HR) of death and other outcomes were compared between IGRT and non-IGRT. We also evaluated OS in various supplementary analyses.
RESULTS: Our primary analysis included 6490 patients in whom covariates were well balanced after PS weighing. The HR for death when IGRT was compared with non-IGRT was 1.02 (95% confidence interval 0.80-1.31, P = 0.86). There were also no significant differences in the supplementary analyses.
CONCLUSION: We found that OS of LBC patients treated with adjuvant CFRT was not statistically different between those treated with IGRT versus without IGRT. This was the first study in this regard to our knowledge but randomized controlled trials were needed to confirm our finding.
© 2021 Liang et al.

Entities:  

Keywords:  breast cancer; effectiveness; image-guided radiotherapy

Year:  2021        PMID: 33907469      PMCID: PMC8069678          DOI: 10.2147/CMAR.S299975

Source DB:  PubMed          Journal:  Cancer Manag Res        ISSN: 1179-1322            Impact factor:   3.989


Introduction

Breast cancer is one of the leading causes of cancer mortality around the world including Taiwan.1 Adjuvant radiotherapy (RT) is commonly used for localized breast cancer after breast-conserving surgery (BCS) or mastectomy2 and can improve local control as well as overall survival.3 Image-guided radiotherapy (IGRT) is a strategy using various devices to improve the quality of treatment execution with the potential to improve outcomes.4–6 In general, IGRT was recommended in the textbook6 or radiotherapy guideline7 although its role in breast cancer radiotherapy was less clear and stated as “routine use of daily imaging is not recommended” in the national comprehensive cancer network (NCCN) guideline.2 IGRT was also usually highly preferred in the setting of radiosurgery or hypofractionated regimens.5 However, a randomized controlled trial (RCT) of conventional fractionated radiotherapy (CFRT) for definitive prostate radiotherapy was published in 2018 and reported significantly worse overall survival (OS) for those treated with IGRT.8 Theoretically, the extra-radiotherapy dose due to xray-IGRT may have contributed to the increased risk of other cancer (10% vs 5%) or cardiovascular mortality (6/236 vs 1/234) observed in this study and led to the impaired overall survival.8 It raised the concern regarding the effectiveness of IGRT in other cancers such as in breast cancer. However, there was no published RCT regarding IGRT’s impact on OS for breast cancer to our knowledge.9 Therefore, the aim of this comparativeness effectiveness research is to investigate the effectiveness of Image-guided radiotherapy in adjuvant conventional fractionated radiotherapy for localized breast cancer patients via a population-based analysis.

Patients and Methods

Data Source

In this retrospective cohort study, the analyzed data with personal identifiers removed were obtained from Health and Welfare Data Science Center (HWDC) database, which included the Taiwan cancer registry (TCR), death registration, and reimbursement data for the whole Taiwan population provided by the Bureau of National Health Insurance (NHI). The TCR is a high-quality database10 that provides comprehensive information such as patient, disease, and treatment characteristics, and prognostic factor details. This study was approved by the research ethics committee at our institute (CRREC-108-080 by Central Regional Research Ethics Committee China Medical University which waived the requirement to obtain consent from the study participants prior to study commencement).

Study Population and Study Design

The study flowchart as suggested in the STROBE statement11 was depicted in Figure 1. Our study population consisted of female localized breast cancer patients diagnosed within 2011–2013 who received adjuvant radiotherapy after R0 resection, with external beam radiotherapy using conventional fractionation via image-guided radiotherapy (IGRT) or non-IGRT. We selected this time frame to ensure at least 5 years window for survival measurement. We limited to CFRT instead of hypofractionated radiotherapy (HFRT) because CFRT was recommend for all three scenarios in our study whereas HFRT was not recommended for post-mastectomy chest wall radiotherapy or nodal irradiation.2 In addition, IGRT was recommended for extreme HFRT in a previous study.12 The three treatment scenarios included in our study were (A) BCS followed by RT; (B) mastectomy followed by RT; (C) neoadjuvant systemic therapy followed by surgery (BCS or mastectomy) followed by RT. We only included those age within 18−70 years old and excluded those with bilateral breast cancer or previous other cancer. These inclusion/exclusion criteria were based on the clinical trial, treatment guideline, and our clinical experiences.2,12
Figure 1

STROBE study flowchart and the number of individuals at each stage of the study.

STROBE study flowchart and the number of individuals at each stage of the study. The explanatory variable of interest [IGRT vs non-IGRT], the primary outcome of interest [overall survival (OS)] and other supplementary outcomes [incidence of breast cancer mortality (IBCM), other cancer mortality (IOCM) and cardiovascular mortality (ICVM)] were determined via the recordings in TCR or the death registry. We adopted OS as the primary outcome of interest because OS was obviously the most important outcome and the negative OS reported in the previous IGRT RCT.8 We defined the date of diagnosis as the index date and calculated the OS or other endpoints from the index date to the date of death or Dec 31, 2018 [the censoring date of death registry]. We also collected covariates from TCR and reimbursement data to adjust for potential nonrandomized treatment selection [see section “Other explanatory covariates” in ]. The covariates were modified from the literature12 as well as our experiences in clinical care13 and TCR studies.14,15

Statistical and Supplementary Analyses

In the primary analysis (PA), we adopted the propensity-score (PS) method with a logistic regression model based on the above covariates to balance the measured potential confounders.16–18 We evaluated the probability of receiving IGRT (vs non-IGRT) and then assessed the balance of covariates between groups (IGRT vs non-IGRT) with the standardized difference.13,19 During the entire follow-up period, we used the overlap weights20,21 via a PS weighting approach to compare the hazard ratio (HR) of death between IGRT and non-IGRT groups. The cox proportional hazards model in the weighted sample was used for point estimation, and the bootstrap method was used to estimate the 95% confidence interval (95% CI).20,22,23 We also compare IBCM, IOCM, and ICVM between groups using the competing risk approach.24 In the first to fourth supplementary analyses (SA), we adopted PS matching to construct 1:1 PS matched cohort for four subgroups separately and compared the HR of death between IGRT and non-IGRT groups via a robust variance estimator.20 In the first supplementary analysis (SA-1), we performed PS matching among the study population of the primary analysis. We also did additional SA (SA-2 – SA-4) for those received BCS & breast RT (SA-2), BCS & breast plus nodal RT (SA-3), and mastectomy and chest wall plus nodal RT (SA-4). We selected these three SA (SA-2 – SA-4) because these were the three common volumes used for breast cancer radiotherapy.25–27 In the 5th SA, we used alternative covariate classification [T1, T2, T3, T4 for T-stage and N0, N1, N2, N3 for N-stage] in the PS weighting analyses as suggested during revision. The statistical analyses were performed using the software SAS 9.4 (SAS Institute, Cary, NC).

Results

Study Population in the Primary Analysis

Among 6490 eligible localized breast cancer females received IGRT or non-IGRT between 2011 and 2013 were identified, 1013 patients were treated with IGRT whereas 5477 were treated without IGRT (Figure 1). The patient characteristics are described in Table 1. One covariate [residency] was not balanced before weighting analysis, but all covariates were balanced (standardized differences <0.25) after PS weighting via overlap weights.
Table 1

Patient Characteristics of the Study Population in the Primary Analysis

IGRT (n=1013)Non-IGRT (n=5477)Standardized Differencea
Number or Mean (sd)a(%)aNumber or Mean (sd)a(%)aBefore PSWAfter PSW
Age (years)50.17 (9.11)50.77 (9.35)0.065≈0
ResidencyNon-north762752485450.641≈0
North25125299255
Social economic statusNo more than minimum wage215211224220.027≈0
Higher79879425378
ComorbidityWithout730723940720.003≈0
Withb28328153728
BMI24.19 (4.10)24.41 (4.24)0.0520
SmokingNo964955195950.014≈0
Yes4952825
DrinkingNo979975091930.167≈0
Yes3433867
LateralityLeft508502804510.0210
Right50550267349
Tumor size (mm)24.20 (16.66)24.32 (16.95)0.0070
HistologyIDC886874763870.0150
Others1271371413
pT1–2951945178950.0280
3–46262995
pN0–1816814329790.0380
2–319719114821
GradeLow701693675670.045≈0
High31231180233
ERNo184181051190.0260
Yes82982442681
PRNo268261463270.0060
Yes74574401473
Her2No767764159760.0050
Yes24624131824
SurgeryMastectomy280281751320.0950
BCS73372372668
LND extent (number)10.82 (9.21)12.34 (10.43)0.155≈0
RT volumeWithout499492659490.014≈0
With nodal RT51451281851
RT prolongation≤ 1 week943935224950.0980
> 1 week7072535
RT boostNo274271393250.037≈0
Yes73973408475
Neoadjuvant STNo907904866890.022≈0
Yes1061061111
Adjuvant STNo21212920.0190
Yes99298534898

Notes: aRounded. bModified Carlson comorbidity score ≥1.

Abbreviations: BCS, breast-conserving surgery; BMI, body mass index; ER, estrogen receptor; IDC, infiltrating ductal carcinoma; Her2, human epidermal growth factor receptor 2; IGRT, image-guided radiotherapy; LND, lymph node dissection; PSW, propensity-score weighting; PR, progesterone receptor; RT, radiotherapy; sd, standard deviation; ST, systemic treatment.

Patient Characteristics of the Study Population in the Primary Analysis Notes: aRounded. bModified Carlson comorbidity score ≥1. Abbreviations: BCS, breast-conserving surgery; BMI, body mass index; ER, estrogen receptor; IDC, infiltrating ductal carcinoma; Her2, human epidermal growth factor receptor 2; IGRT, image-guided radiotherapy; LND, lymph node dissection; PSW, propensity-score weighting; PR, progesterone receptor; RT, radiotherapy; sd, standard deviation; ST, systemic treatment.

Primary Analysis

After a median follow-up of 76 months [range 5–96 months], death was observed for 74 patients in the IGRT group and 401 patients in the non-IGRT group. The overlap weights adjusted OS curve was shown in Figure 2. The 5-year OS rates for two groups were 94.35% [IGRT] and 94.64% [non-IGRT]. The PS weighting adjusted HR of death when IGRT was compared to non-IGRT was 1.02 [95% confidence interval (95% CI) 0.80–1.31, P = 0.86]. The results were also not significantly different for IBCM [HR = 1.02, P = 0.94], IOCM [HR = 1.43, P = 0.51] and ICVM [HR = 0.65, P = 0.66].
Figure 2

The overlap weights adjusted overall survival curve (in years) in the primary analysis.

The overlap weights adjusted overall survival curve (in years) in the primary analysis.

Supplementary Analyses (SA)

In the SA-1 to SA-4, covariates were also balanced after PS matching []. There were also no statistically significant difference for OS when IGRT was compared to non-IGRT [SA-1: HR = 1.08, P = 0.64; SA-2: HR = 0.57, P = 0.09; SA-3: HR = 1.04, P = 0.91; SA-4: HR = 1.07, P = 0.77]. In SA-5 when alternative covariate classification was used, covariates were balanced after PS weighting [] and similar results were seen [HR = 1.01, P = 0.95].

Discussion

In this population-based analysis, we found that the use of image-guided radiotherapy in adjuvant conventional fractionated radiotherapy for localized breast cancer patients did not lead to worse overall survival or other outcomes. This was the first study in this regard to our knowledge. As we mentioned in the above introduction section, IGRT was advocated in the field of breast radiation oncology in general4,28,29 but not recommended by the current NCCN guideline.2 One study for 174 breast cancer patients treated with adjuvant whole breast CFRT after BCS had stated “Extensive set-up errors were found in more than half patients undergoing conventional fractionated radiotherapy and IGRT was advocated for these patients”.30 However, when we searched in Pubmed using “((IGRT) OR (Image-guided Radiation Therapy) OR ((image*) AND (guid*) AND ((radiotherapy) OR (radiation therapy)))) AND survival AND (breast cancer)” in Dec 2020, we did not found studies comparing survival outcomes of breast adjuvant CFRT via IGRT vs non-IGRT, although IGRT was advocated in some HFRT studies.31,32 The motivation of our study was the negative survival impact of IGRT on prostate cancer radiotherapy along with the higher risk of secondary cancer and cardiovascular mortality reported in the recent RCT.8 Our results revealed that IGRT in adjuvant CFRT for localized breast cancer patients did not lead to worse overall survival or other outcomes. So it might be safe to use IGRT (usually via x-ray) regardless of the theoretical concern in cardiovascular disease or secondary cancer,33,34 at least for selected patients with significant setup errors. However, it should be noted the radiotherapy setting and technique in prostate cancer radiotherapy in that RCT8 was different vs the one for breast cancer in the current study [curative/definitive vs preventive/adjuvant]. Furthermore, our results should also be interpreted with caution given its non-randomized nature. However, there was no published RCT to our knowledge.9 We further searched in clinical trials registry [] in Dec 2020 using keywords “(image-guided radiation therapy) OR (image-guided radiotherapy) OR (IGRT) | breast cancer” but did not find ongoing RCT as well. Therefore, our study would be a reasonable tentative evidence to guide the use of IGRT for breast cancer patients treated with adjuvant CFRT, whereas the role of IGRT in HFRT deserves further study. There were some limitations of our study to be addressed below. Firstly, the treatment [IGRT] was not randomly given so the impact of potentially unobserved confounders could not be eliminated although we had used PS methods to adjust for observable ones. Furthermore, the treatment [IGRT] in our study was not homogeneous but the detail could not be clarified with certain due to data limitation in HWDC. Secondly, the minimal potential follow-up in our study [5 year] may not be long enough to capture some long term effects which had been reported in some HFRT studies.35 Thirdly, other potential covariables [such as systemic therapy details] or outcomes [such as patient reported outcome or quality of life] might also be relevant but were not investigated in our study due to data limitation.

Conclusion

Our non-randomized population-based study found that the overall survival of localized breast cancer patients treated with adjuvant CFRT was not statistically different between those treated with IGRT versus without IGRT. This was the first study in this regard to our knowledge but randomized controlled trials were needed to confirm our finding.
  30 in total

1.  Adjusted survival curves with inverse probability weights.

Authors:  Stephen R Cole; Miguel A Hernán
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Review 3.  Reporting of covariate selection and balance assessment in propensity score analysis is suboptimal: a systematic review.

Authors:  M Sanni Ali; Rolf H H Groenwold; Svetlana V Belitser; Wiebe R Pestman; Arno W Hoes; Kit C B Roes; Anthonius de Boer; Olaf H Klungel
Journal:  J Clin Epidemiol       Date:  2014-11-26       Impact factor: 6.437

4.  From technological advances to biological understanding: The main steps toward high-precision RT in breast cancer.

Authors:  Maria Cristina Leonardi; Rosalinda Ricotti; Samantha Dicuonzo; Federica Cattani; Anna Morra; Veronica Dell'Acqua; Roberto Orecchia; Barbara Alicja Jereczek-Fossa
Journal:  Breast       Date:  2016-08-16       Impact factor: 4.380

5.  Implementation of image-guided intensity-modulated accelerated partial breast irradiation : Three-year results of a phase II clinical study.

Authors:  Norbert Mészáros; Tibor Major; Gábor Stelczer; Zoltán Zaka; Emőke Mózsa; Dávid Pukancsik; Zoltán Takácsi-Nagy; János Fodor; Csaba Polgár
Journal:  Strahlenther Onkol       Date:  2016-11-21       Impact factor: 3.621

Review 6.  Comparison of Nodal Target Volume Definition in Breast Cancer Radiation Therapy According to RTOG Versus ESTRO Atlases: A Practical Review From the TransAtlantic Radiation Oncology Network (TRONE).

Authors:  Gokoulakrichenane Loganadane; Pauline T Truong; Alphonse G Taghian; Dušanka Tešanović; Mawei Jiang; Fady Geara; Meena S Moran; Yazid Belkacemi
Journal:  Int J Radiat Oncol Biol Phys       Date:  2020-04-22       Impact factor: 7.038

Review 7.  Image-guided radiotherapy: has it influenced patient outcomes?

Authors:  Alexis Bujold; Tim Craig; David Jaffray; Laura A Dawson
Journal:  Semin Radiat Oncol       Date:  2012-01       Impact factor: 5.934

8.  Methods for constructing and assessing propensity scores.

Authors:  Melissa M Garrido; Amy S Kelley; Julia Paris; Katherine Roza; Diane E Meier; R Sean Morrison; Melissa D Aldridge
Journal:  Health Serv Res       Date:  2014-04-30       Impact factor: 3.402

9.  A phase I/II study piloting accelerated partial breast irradiation using CT-guided intensity modulated radiation therapy in the prone position.

Authors:  Carmen Bergom; Phillip Prior; Kristofer Kainz; Natalya V Morrow; Ergun E Ahunbay; Alonzo Walker; X Allen Li; Julia White
Journal:  Radiother Oncol       Date:  2013-08-07       Impact factor: 6.280

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Authors:  Sophia M Edwards-Bennett; Candace R Correa; Eleanor E Harris
Journal:  Int J Breast Cancer       Date:  2011-10-05
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