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. 2025 Jan 27;20(2):95–110. doi: 10.1159/000543677

Quality of Life after Alloplastic versus Autologous Breast Reconstruction: The Influence of Patient Characteristics on Outcomes

Iris L Holt-Kedde a,✉, Nadia Sadok b, Irene S Krabbe-Timmerman c, Geertruida H de Bock d, Grigory Sidorenkov d, Paul MN Werker a
PMCID: PMC12005696  PMID: 40256673

Abstract

Objective

Quality of life (QoL) following autologous breast reconstruction has been found to be higher compared to alloplastic breast reconstruction. However, evaluating QoL is complex as it is influenced by various factors, including patient characteristics and treatment types. Previous studies comparing QoL between reconstruction techniques have not sufficiently addressed baseline differences between patient groups, some of which contribute to indication bias. Using an alternative approach to identify the confounders, this study aimed to evaluate which factors affect the patient satisfaction and QoL after alloplastic or autologous reconstruction, with follow-up extending up to 3 years post-surgery.

Method

QoL and satisfaction were measured using the Breast-Q preoperatively and after breast reconstruction (post-BR) at 6 weeks, 6 months, 1 year, and 3 years. General and mental health were measured using the SF-36 and the HADS. A generalized linear mixed model was utilized to assess which factors confound the relationship between reconstruction technique and Breast-Q scores.

Results

Factors contributing to the disparity in Breast-Q scores between autologous and alloplastic breast reconstruction varied across Breast-Q subscales. Autologous breast reconstruction patients consistently reported higher “Satisfaction with Breasts” and “Physical Well-being,” while the minimal important differences in “Psychosocial” and “Sexual Well-being” were lost after adjustment for confounding factors.

Conclusion

This study confirms that even when adjusted for confounders, scores on two QoL subscales autologous breast reconstruction patients score significantly higher over time. Although autologous reconstruction remained superior regarding “Satisfaction with Breasts,” scores decreased in autologous reconstruction patients when they were depressed at baseline, underwent radiotherapy, had a history of breast cancer, or faced major complications.

Keywords: Breast reconstruction, Breast-Q, QoL, Quality of life, Autologous reconstruction, Alloplastic reconstruction

Introduction

After mastectomy, 13–69.5% of patients opt for breast reconstruction (BR) [1–4]. BR has shown to play a significant role in restoring their physical and emotional well-being [5–9]. Choosing between autologous (using the patient’s own tissue) and alloplastic (using implants) BR is a major decision for the patient. This choice depends on factors such as patient preferences, surgical suitability, health, body type, and cosmetic concerns [10].

Recent studies have consistently shown higher patient satisfaction and improved QoL following autologous BR [9–19]. However, none of these studies adjusted for differences in baseline characteristics between groups. For example, higher BMI is required for autologous reconstruction for sufficient flap volume. And in cases of required adjuvant radiotherapy, in the Netherlands this is never administrated after autologous reconstruction, whereas in the alloplastic group, radiation can take place after BR. Consequently, many factors lead to indication bias in women seeking BR, which complicates evaluating patient satisfaction and QoL between various BR techniques.

This study investigates patient satisfaction and QoL over 3 years following BR, focusing on how baseline characteristics and treatment factors influence these outcomes. By adjusting for confounding factors, we aim to determine the true effect of the reconstruction technique on satisfaction and QoL.

Materials and Methods

The current study is a follow-up study of a previously published prospective longitudinal multi-centre cohort study, adding two additional follow-up timepoints [19]. Women over the age of 18 from three hospitals in the northern part of the Netherlands completed questionnaires at 5 timepoints: preoperatively and post-operatively at 6 weeks, 6 months, 1 year, and 3 years. Indication for mastectomy could be either therapeutic or prophylactic. A resume of the surgical course of every patient was made to investigate the total duration of the BR and to place the scores into the proper perspective, using the last intervention of the reconstruction as endpoint. Written informed consent was obtained from the patients before inclusion. The study was approved by the Medical Ethics Committee (2010.191).

Outcome

Our primary outcomes were the following Breast-Q subscales: “Satisfaction with Breasts,” “Psychosocial,” “Sexual,” and “Physical Well-being” over time. The Dutch version of the Breast-Q reconstruction module is a validated, reliable, and reproducible questionnaire that assesses patient satisfaction and QoL after reconstructive surgery [20–23]. Each Breast-Q scale is scored and converted into scores ranging from 0 to 100 and the minimal important difference is reported as 4 points [21, 22].

Potential Confounders

Online supplementary Table 1 (for all online suppl. material, see https://doi.org/10.1159/000543677) lists the patients, disease and treatment baseline characteristics, which were considered as potential confounders. The age of participants was recorded in years and the BMI was calculated as kg/m2. Smoking status was noted as either “yes” or “no.” (Neo-)adjuvant therapies included radiotherapy, chemotherapy, and hormonal therapy. Comorbidities included hypertension, hypothyroidism, pulmonary disease, diabetes, and rheumatic disease. BR was either unilateral or bilateral and either performed immediately after mastectomy (immediate) or later (delayed). Complications were scored according to the Clavien-Dindo classification and were divided into 1–2 versus 3 or higher [24]. Two questionnaires were included for baseline measurement of overall well-being. The SF-36 covers eight domains of physical and emotional aspects giving a total score of physical and mental health with a minimally important difference of 5 points [25]. The HADS is specialized in detecting symptoms of anxiety and depression, categorized as normal (0–7) or abnormal (8–21) and has a minimally important difference of 1.5 points [26].

Power Calculation

The sample size was calculated for the initial study [20]. As the research question was different, a new post hoc sample size calculation was performed using the linear multiple regression model in G*Power software [27]. The standard deviation of the “Satisfaction with Breasts” was used and the assumption that autologous BR scores 11 points higher than alloplastic BR 36 months after surgery. Post hoc power calculations gave a power of 84%, given an alpha of 0.05, a sample size of 35 per group, testing 12 factors, and an effect size of 0.32.

Statistical Analysis

Using descriptive statistics, we described the demographic characteristics, and preoperative clinical data, stratified by reconstruction technique. The two groups were compared regarding baseline characteristics by using Student-t test, Mann-Whitney U test, or chi-square test, depending on type and distribution of the data. The mean Breast-Q scores per subscale were plotted stratified by reconstruction technique, showing the 5 assessments over time. The characteristics and scores of the dropouts were analysed to evaluate potential bias. When patients missed two or more assessments, they were defined as dropouts.

Linear mixed models were used to test the association between the reconstruction technique and Breast-Q scales. For each Breast-Q scale, two models were built to evaluate the differences of BR technique on QoL. “The original model” is the model used in most published studies; identification of confounders is based on literature and by assessing the AIC and log likelihood. This model is built for “Satisfaction with Breasts” and implemented to all Breast-Q subscales [20, 28]. The “adjusted model” was created for each Breast-Q scale separately. The confounders were identified by their influence on the effect size of reconstruction technique on QoL.

To create the adjusted model, our starting point included the most basic factors such as “autologous” versus “alloplastic BR,” “time,” and “preoperative baseline.” First, an additional variable was included: “BR technique x time” to evaluate if the difference in the Breast-Q subscales outcomes changes over time. Second, the analysis incorporated confounding factors making the effect size for BR technique on QoL change for ≥5% without compromising the model fit. All tested confounders are listed in online supplementary Table 1. Statistical analysis is performed using IBM SPSS Statistics for Windows (version 28.0) (IBM Corp., Armonk, NY).

Results

In the 3 years follow-up, 37 out of the 76 patients (49%) who underwent alloplastic BR still participated in this study. For the autologous BR, this figure was 38 of the 63 (60%). See Figure 1 for a flowchart and overview of the patients participating at each timepoint per BR technique. Comparing patients who participated at all timepoints to dropouts showed no differences between the groups for patients’ characteristics as well as Satisfaction with Breasts score (online suppl. Tables 2, 3).

Fig. 1.

Fig. 1.

Flowchart of filled in Breast-Q “Satisfaction of Breasts” questionnaire on different timepoints.

Surgical Trajectories

For autologous BR, 83% of the patients had additional operations such as asymmetry corrections, dogear corrections, and nipple reconstruction (either surgical and/or by tattooing). Within 2 years after the initial BR surgery, 89% of the women had completed their reconstruction, increasing to 95% 3 years after reconstruction.

Alloplastic reconstruction contained one-stage or two-stage reconstruction with secondary fine-tuning when needed (asymmetry or dogear corrections), change of the tissue expander for an implant in the two-stage group, followed by nipple reconstruction and/or tattooing when desired. In this group, 89% had more than one surgery, 90% of the patients had completed their BR after 2 years, and 97% after 3 years. Length of the surgical path was quite similar (14.3 vs. 13.7 months; online suppl. Table 4). Surgical complications grade III occurred significantly more in the autologous reconstruction group (online suppl. Table 5).

Patient and Treatment Characteristics

There were significant differences in patient and treatment characteristics between the participants in the alloplastic and autologous BR groups (Table 1). The autologous group was notably older (p = 0.029), had a higher average BMI (p < 0.001), less gene mutations (21% vs. 41%; p = 0.013), and more delayed BR (71% vs. 37%; p < 0.001). The timing of radiotherapy varied significantly between the groups (p < 0.001). Preoperative radiotherapy was more commonly given in the autologous BR group compared to the alloplastic BR group (43% vs. 9%). In contrast, no radiotherapy was administered after autologous BR, while 9% received post-surgery radiotherapy after alloplastic BR (p < 0.001). The time between chemotherapy and BR was longer in the autologous group (p = 0.009), whereas immediate pre-BR and post-BR chemotherapy was more common in the alloplastic group (p < 0.001). Furthermore, women obtained for autologous BR exhibited significant higher preoperative scores on the SF-36 (74 vs. 68) and experienced fewer symptoms of anxiety compared to those undergoing alloplastic BR (19 vs. 42) (p = 0.015, p = 0.002, respectively).

Table 1.

Patient and treatment characteristics per reconstruction group

Characteristics Alloplastic, n (%) Autologous, n (%) p value#
Participants
 Total underwent reconstruction 76 (55) 63 (45) 0.240
Age, years
 Mean (SD) 47 (11) 49 (9) 0.029
BMI, kg/m2
 Median (IQR) 26 (19–33) 27 (23–32) <0.001
Smoking
 Yes 16 (21) 1 (2) < 0.001 *
Uni-/bilateral 0.334
 Unilateral reconstruction 44 (58) 42 (67)
 Bilateral reconstruction 31 (41) 21 (33)
Reconstruction indication 0.164
 Preventive mastectomy 26 (34) 15 (24)
 Oncological mastectomy 49 (64) 48 (76)
Gene mutation
 Yes 31 (41) 13 (21) 0.013 *
  BRCA1 14 6 –
  BRCA2 15 6 –
  Othera 2 0 –
  Unknown, or tested negative 46 (61) 51 (81) –
Reconstruction timing < 0.001 *
 Immediate reconstruction 47 (62) 18 (29)
 Delayed reconstruction 28 (37) 45 (71)
Reconstruction technique
 One-stage reconstructionb 25 (33) na –
 Two-stage reconstructionc 51 (67)
Radiotherapy 0.001 * 1
 Preoperative radiotherapy 7 (9) 27 (43)
 Post-operative radiotherapy 7 (9) 0 (0)
Chemotherapy 0.009 * 2
 Chemotherapy in the past 8 (11) 28 (44)
 Preoperative chemotherapy 10 (13) 6 (10)
 Post-operative chemotherapy 14 (18) 2 (3)
Hormonal therapy
 Hormonal therapy 27 (36) 29 (46) 0.162
Comorbidities 0.728
 Yes 27 (36) 17 (27)
  Cardiovascular disease 13 7
  Hypothyroidism 4 8
  Pulmonary disease 5 2
  Diabetes 4 0
  Rheumatic disease 1 0
SF-36 total mean (SD)d
 Preoperative (n = 75 all, 63 aut) 68 (17) 74 (18) 0.015
 Six weeks (n = 53 all, 50 aut) 57 (17) 61 (16) 0.306
 Six months (n = 49 all, 49 aut) 68 (18) 77 (16) 0.021
 One year (n = 43 all, 39 aut) 76 (17) 76 (15) 0.697
 Three years (n = 37 all, 38 aut) 77 (19) 74 (19) 0.449
Anxietye
 Preoperative (n = 74 all, 63 aut) 42 (57) 19 (30) 0.002
 Six weeks (n = 53 all, 50 aut) 15 (28) 9 (18) 0.216
 Six months (n = 49 all, 48 aut) 11 (22) 11 (23) 0.956
 One year (n = 43 all, 38 aut) 7 (16) 9 (24) 0.404
 Three years (n = 35 all, 38 aut) 5 (14) 9 (24) 0.308
Depressionf
 Preoperative (n = 74 all, 63 aut) 26 (35) 20 (32) 0.675
 Six weeks (n = 53 all, 50 aut) 16 (31) 9 (18) 0.149
 Six months (n = 49 all, 48 aut) 15 (31) 5 (10) 0.014
 One year (n = 43 all, 38 aut) 5 (12) 4 (11) 0.875
 Three years (n = 35 all, 38 aut) 1 (3) 5 (13) 0.109

na, not applicable to autologous group; all, alloplastic; aut, autologous.

#Student-t tests were applied on continuous variables or in case of non-normally distributed variables the Mann-Whitney U test and chi-square tests on categorical variables.

*Autologous BR is not performed at this study hospital.

aOther: 1 patient with a BRCA1 and BRCA2 mutation, 1 patient with CHECK2 mutation.

bSix were treated with additional latissimus dorsi flap.

cOne patient was treated with additional latissimus dorsi flap.

dSF-36 total score.

eHADS anxiety score 8–21.

fHADS depression score 8–21.

*Bold/italic: significant with p < 0.05.

#Preoperative/post-operative in terms of the reconstruction not in terms of the mastectomy.

* 1Preoperative + post-operative radiotherapy compared between groups.

* 2Preoperative + post-operative chemotherapy compared between groups.

“Original Model” for All Breast-Q Subscales: Autologous versus Alloplastic BR

Patients in the autologous group scored higher on “Satisfaction with Breasts,” “Psychosocial Well-being,” “Physical Well-being,” and “Sexual Well-being” when adjusted for age, time post-surgery, baseline score, BMI, radiotherapy, immediate versus delayed BR, SF-36 scores, and anxiety (p < 0.001, p = 0.029, p = 0.090, p = 0.036, and p = 0.019, respectively) (Tables 2–5, right column).

Table 2.

Summary of the two generalized mixed models made for Breast-Q subscale “Satisfaction with Breasts”

Breast-Q subscale “Satisfaction with Breasts”
original model adjusted model
β (95% CI) p value β (95% CI) p value
Alloplastic BR 11.1 (5.0; 17.1) <0.001 14.8 (6.1; 23.5) <0.001
Autologous BR
Time 3.4 (2.0; 4.7) <0.001 3.2 (1.3; 5.0) <0.001
Auto/allo in time – – −0.1 (−2.8; 2.7) 0.966
Baseline (pre-op) 0.04 (−0.1; 0.2) 0.578 0.1 (−0.1; 0.2) 0.484
Age (years) −0.03 (−0.3; 0.3) 0.869 – –
BMI −0.6 (−1.3; 0.1) 0.111 – –
Depression pre-op – – −4.3 (−10.2; 1.2) 0.153
Radiotherapy −7.1 (−13.5; −0.7) 0.030 −5.8 (−12.8; 1.2) 0.102
Immediate BR −5.8 (−12.6; 1.1) 0.098 – –
SF-36 pre-op 0.2 (0.02; 0.4) 0.026 – –
Anxiety pre-op 0.8 (−5.5; 7.1) 0.810 – –
Preventive/BC – – 2.0 (−5.8; 9.8) 0.604
Chemo – – 0.6 (−6.3; 7.6) 0.865
Complication CD ≥3 – – −5.2 (−12.7; 2.3) 0.170

Time is the difference between the post-operative measurements. Age is measured in years at the time of reconstruction. Confounding factors in the “Satisfaction with Breasts” analysis included depression, radiotherapy, mastectomy indication, chemotherapy, and complications. After adjusting for these, women with autologous reconstruction reported higher satisfaction, which remained stable post-operatively. Time since surgery significantly influenced satisfaction.

Table 5.

Summary of the two generalized mixed models made for Breast-Q subscale “Physical Well-being”

Breast-Q subscale “Physical Well-being”
original model adjusted model
β (95% CI) p value β (95% CI) p value
Alloplastic 6.6 (0.8; 12.3) 0.026 10.1 (2.3; 17.8) 0.011
Autologous
Time 3.1 (1.9; 4.5) <0.001 3.9 (2.1; 5.6) <0.001
Auto/allo in time – – −1.7 (−4.2; 0.7) 0.168
Baseline (pre-op) 0.4 (0.2; 0.6) <0.001 0.3 (0.2; 0.4) <0.001
Age (years) 0.007 (−0.3; 0.3) 0.959 – –
BMI 0.1 (−0.6; 0.7) 0.877 – –
Radiotherapy −1.8 (−7.3; 3.7) 0.522 – –
Immediate BR −0.05 (−5.8; 5.7) 0.987 – –
SF-36 pre-op 0.03 (−0.1; 0.2) 0.766 – –
Anxiety pre-op −3.3 (−8.7; 2.1) 0.227 −4.4 (−9.3; 0.5) 0.079
Comorbidity – – 1.5 (−3.7; 6.6) 0.573

Time is the difference between the post-operative measurements. Age is measured in years at the time of reconstruction. In the “Physical Well-being” subscale, women who underwent autologous BR had significantly higher with no significant change over time (right column). Adjusting the model for this subscale did not affect the significance of the group difference, but it strengthened the correlation.

Baseline Patient Characteristics Impacting the Difference in Scores of the Breast-Q Subscales of Autologous and Alloplastic Reconstruction: “The Adjusted Model”

Confounding factors identified in the analysis of “Satisfaction with Breasts” were depression, radiotherapy, indication for mastectomy, chemotherapy, and complications (Table 2, right column). Even after accounting for these factors, women undergoing autologous reconstruction consistently reported higher satisfaction with their breasts (B = 14.8 [6.1; 23.5], p < 0.001). The difference in satisfaction remained stable post-operatively (B = −0.1 [−2.8; 2.7], p = 0.966). Time after surgery was influencing the score for all women included (R = 3.2 [1.3; 5.0], p < 0.001).

Adjusting the model for the specific confounders influenced the differences between autologous and alloplastic BR patients, increased the correlation coefficient from 11.1 to 14.8 (Table 2, left and right column), indicating that the autologous BR group scores 14.8 points higher on “Satisfaction with Breasts” than the alloplastic group. “Psychosocial Well-being” was influenced by the administration of radiotherapy (B = −8.8 [−15.7; 1.8], p = 0.015), preoperative SF-36 scores (B = 0.4 [0.2; 0.6], p < 0.001), and time after surgery (B = 3.5 [1.6; 5.6], p < 0.001) (Table 3, right column). The adjusted model diminished the earlier reported difference between autologous and alloplastic BR to a non-significant level (Table 3).

Table 3.

Summary of the two generalized mixed models made for Breast-Q subscale “Psychosocial Well-being”

Breast-Q subscale “Psychosocial Well-being”
original model adjusted model
β (95% CI) p value β (95% CI) p value
Alloplastic BR 6.7 (0.7; 12.9) 0.031 7.7 (−1.7; 17.2) 0.108
Autologous BR
Time 3.6 (2.1; 5.1) <0.001 3.5 (1.6; 5.6) <0.001
Auto/allo in time – – 0.001 (−3.0; 3.0) 0.993
Baseline (pre-op) 0.3 (0.1; 0.5) 0.007 0.3 (0.1; 0.5) 0.009
Age (years) 0.01 (−0.3; 0.3) 0.971 – –
BMI −0.5 (−1.3; 0.2) 0.158 −0.4 (−1.2; 0.3) 0.259
Radiotherapy −7.8 (−14.2; −1.4) 0.018 −8.8 (−15.7; −1.8) 0,015
Immediate BR −4.5 (−11.8; 2.8) 0.227 −5.0 (−12.3; 2.4) 0.183
SF-36 pre-op 0.4 (0.3; 0.6) <0.001 0.4 (0.2; 0.6) <0.001
Anxiety pre-op −0.6 (−7.0; 5.8) 0.851 −0.4 (−6.8; 6.0) 0.895
Bilateral – – −2.9 (−9.5; 4.4) 0.470
Chemo – – −2.5 (−9.5; 4.4) 0.470

Time is the difference between the postoperative measurements. Age is measured in years at the time of reconstruction. “Psychosocial Well-being” was influenced by radiotherapy, preoperative SF-36 scores, and time since surgery (right column). The adjusted model reduced the difference between autologous and alloplastic BR to a non-significant level.

Radiotherapy (R = −9.7 [−17.6; −1.9], p = 0.016) and the preoperative SF-36 (B = 0.2 [0.04; 0.4], p = 0.018) scores also played a role in “Sexual Well-being.” Timing and indication for surgery also played a role; women who underwent immediate BR had significantly lower sexual well-being compared to patients who underwent delayed BR (B = −17.0 [−25.4; −8.8], p < 0.001). Also, women who had prophylactic surgery scored higher on sexual well-being compared to those who had undergone a mastectomy for breast cancer (Table 4, right column). After adjusting the model for this specific subscale, no significant difference between autologous and alloplastic BR remained (Table 4).

Table 4.

Summary of the two generalized mixed models made for Breast-Q subscale “Sexual Well-being”

Breast-Q subscale “Sexual Well-being”
original model adjusted model
β (95% CI) p value β (95% CI) p value
Alloplastic BR 6.3 (−0.5; 13.1) 0.067 5.4 (−5.0; 15.8) 0.305
Autologous BR
Time 2.4 (0.8; 4.0) 0.003 2.0 (−0.2; 4.2) 0.079
Auto/allo in time – – 0.6 (−2.7; 3.9) 0.724
Baseline (pre-op) 0.5 (0.3; 0.7) <0.001 0.5 (0.3; 0.7) <0.001
Age (years) −0.3 (−0.6; 0.02) 0.067 – –
BMI 0.2 (−0.6; 1.1) 0.576 – –
Radiotherapy −12.0 (−19.2; −4.9) 0.001 −9.7 (−17.6; −1.9) 0.016
Immediate BR −17.9 (−25.6; −10.2) <0.001 −17.1 (−25.4; −8.8) <0.001
SF-36 pre-op 0.3 (0.1; 0.5) 0.008 0.2 (0.04; 0.4) 0.018
Anxiety pre-op −4.5 (−11.7; 2.8) 0.224 −3.0 (−10.3; 4.3) 0.418
Chemo – – 3.4 (−4.3; 11.1) 0.384
BC versus preventive – – 9.0 (0.1; 17.9) 0.047

Time is the difference between the post-operative measurements. Age is measured in years at the time of reconstruction. Radiotherapy and preoperative SF-36 scores influenced “Sexual Well-being.” Timing and indication for surgery also played a role: immediate BR was associated with lower sexual well-being compared to delayed BR, and prophylactic surgery patients scored higher than those with cancer-related mastectomies.

In the subscale “Physical Well-being,” scores were significantly higher for women who underwent autologous BR (B = 10.1 [2.3; 17.8], p = 0.011), and this did not significantly change over time (B = −1.7 [−4.2; 0.7], p = 0.168) (Table 5, right column). Adjusting the model for this subscale had no influence on the significance of the difference between the two groups, although it increased the correlation (Table 5).

The plotted Breast-Q scores differences over time for each BR group remained stable and comparable in the post-operative course (Fig. 2). This was confirmed in the (adjusted) model. Integrating the variable describing difference between BR during follow up did not lead to a statistically significant difference. This means that the difference between both groups stayed the same between 6 weeks and 3 years post-operatively (Tables 2–5, right column).

Fig. 2.

Fig. 2.

Breast-Q subscales scores for alloplastic (blue) and autologous (pink) BR in time. Timepoints are preoperative, 6 weeks, 6 months, 1 year, and 3 years post-operative. Breast-Q subscales: “Satisfaction with Breasts” (a), “Psychosocial Well-being” (b), “Sexual Well-being” (c), and “Physical Well-being” (d).

Increased Correlation between Reconstruction Technique and “Satisfaction with Breasts”

To get more insight in the increased correlation from the original model to the adjusted model, the role of the identified confounders on “Satisfaction with Breasts” were plotted and analysed. This shows that high depression score before surgery significantly decreases the “Satisfaction with Breasts” score after autologous reconstruction, compared to alloplastic reconstruction at timepoint 6 weeks, 6 months and 3 years after reconstruction (p = 0.002, p = 0.011, p = 0.001, and p < 0.001, respectively) (Fig. 3a; Table 6). Without radiotherapy, the satisfaction remains significantly higher after autologous BR, but this difference seems to level after 3 years (p = 0.022, p = 0.019, p = 0.002, respectively; Fig. 3b; Table 6).

Fig. 3.

Fig. 3.

“Satisfaction with Breasts” scores for alloplastic (cold colours) and autologous (warm colours) BR in time. Timepoints are preoperative, 6 weeks, 6 months, 1 year, and 3 years post-operative. Patient characteristics are specified for depression score at baseline (a), radiotherapy treatment (b), history of breast cancer (c), and complications (d).

Table 6.

Effect of identified confounders on “Satisfaction with Breasts” stratified for BR technique over time

Timepoint Mean allo Mean auto p value Mean difference 95% CI
No complications: > Clavien-Dindo 3
 Baseline 61.7 (23.4) 49.4 (16.9) 0.003 12.3 4.2; 20.4
 Six weeks 50.8 (17.6) 63.8 (12.9) <0.001 −12.9 −19.5; −6.3
 Six months 58.3 (19.5) 68.7 (18.0) 0.016 −10.4 −18.7; −2.0
 One year 62.7 (17.0) 78.5 (18.5) <0.001 −15.9 −24.2; −7.5
 Three years 64.0 (17.5) 72.6 (15.0) 0.037 −8.6 −16.7; −0.6
Complications: Clavien-Dindo 3 or higher
 Baseline 49.1 (14.6) 49.4 (15.8) 0.962 −0.3 −12.6; 12.1
 Six weeks 64.3 (20.0) 58.5 (18.1) 0.557 5.9 −15.9; 27.7
 Six months 58.0 (12.1) 59.7 (13.1) 0.843 −1.7 −26.0; 23.0
 One year 48.5 (14.8) 63.3 (20.3) 0.359 −14.8 −69.6; 39.9
 Three years 38.5 (31.8) 69.8 (19.8) 0.383 −31.3 −234.3; 171.8
Low/no depression score at baseline
 Baseline 62.3 (21.5) 49.0 (15.6) 0.001 13.3 5.4; 21.2
 Six weeks 52.4 (17.1) 64.6 (14.2) 0.002 −12.3 −19.9; −4.6
 Six months 57.9 (19.5) 70.0 (17.0) 0.012 −12.1 −21.5; −2.7
 One year 62.3 (16.3) 79.2 (19.7) <0.001 −16.8 −26.4; −7.2
 Three years 64.5 (18.7) 74.2 (16.3) 0.057 −16.8 −19.8; 0.3
High depression score at baseline
 Baseline 55.0 (24.0) 50.1 (18.7) 0.432 5.0 −7.7; 17.7
 Six weeks 49.7 (17.9) 56.6 (14.1) 0.224 −6.9 −18.3; 4.5
 Six months 59.1 (17.5) 58.8 (15.8) 0.957 0.3 −18.3; 4.5
 One year 64.4 (16.6) 66.6 (15.8) 0.756 −2.2 −16.7; 12.3
 Three years 57.7 (20.1) 67.4 (15.3) 0.221 −9.6 −25.6; 6.3
Patients who did not receive radiotherapy
 Baseline 61.6 (21.0) 53.8 (16.8) 0.063 7.8 −0.4; 15.9
 Six weeks 55.7 (13.3) 64.7 (17.1) 0.035 −9.0 −17.3; −0.7
 Six months 58.6 (18.5) 70.0 (18.2) 0.019 −11.4 −20.9; −1.9
 One year 62.9 (17.2) 79.2 (18.7) 0.004 −16.2 −26.8; −5.7
 Three years 63.6 (19.9) 74.2 (17.5) 0.060 −10.5 −21.6; 0.5
Radiotherapy given
 Baseline 53.3 (26.6) 46.0 (16.5) 0.364 7.2 −9.1; 23.6
 Six weeks 41.5 (26.6) 59.4 (12.2) 0.013 −17.9 −31.7; −4.0
 Six months 57.2 (22.4) 61.3 (15.9) 0.631 −4.1 −22.9; 14.0
 One year 58.4 (16.6) 69.6 (20.6) 0.157 −11.1 −26.9; 4.6
 Three years 59.0 (14.3) 69.6 (15.5) 0.129 −10.6 −24.7; 3.4
Prophylactic mastectomy
 Baseline 67.1 (15.9) 64.5 (15.2) 0.607 2.6 −7.7; 12.9
 Six weeks 55.3 (10.4) 64.2 (21.4) 0.218 −8.9 −23.8; 6.0
 Six months 55.2 (19.1) 66.2 (18.6) 0.118 −11.1 −25.1; 3.0
 One year 64.3 (15.6) 76.6 (19.2) 0.084 −12.3 −26.4; 1.8
 Three years 69.1 (16.3) 77.1 (13.2) 0.208 −8.0 −20.8; 4.8
Therapeutic mastectomy
 Baseline 56.7 (25.2) 44.6 (13.9) 0.004 12.1 3.9; 20.3
 Six weeks 49.7 (15.9) 61.5 (12.1) 0.006 −11.8 −20.2; −3.4
 Six months 59.6 (18.3) 66.6 (17.1) 0.137 −7.0 −16.2; 2.3
 One year 62.1 (17.2) 74.9 (20.5) 0.017 −12.7 −23.2; −2.4
 Three years 57.4 (19.0) 70.1 (17.0) 0.020 12.0 −23.2; −2.4

Former breast cancer patients score lower scores before the actual autologous BR but higher after 6 weeks, 1 year, and 3 years after autologous reconstruction (p = 0.004, p = 0.006, p = 0.017, and p = 0.020) (see Fig. 3c and Table 6). When no or mild complications (Clavien-Dindo <3) occur, autologous reconstruction patients score higher in satisfaction at all timepoints (p = 0.003, p < 0.001, p = 0.016, p < 0.001, p = 0.037) (Fig. 3d; Table 6).

Discussion

This study examines Breast-Q changes over time following BR. The most important finding of this study is that the difference in “Satisfaction with Breasts” and “Physical Well-being” is not caused by the patient characteristics. It shows that, concerning “Satisfaction with Breasts,” autologous BR is superior to alloplastic BR directly after surgery until 3 years post-operatively. This difference has been found before but was thought to be related to factors such as a higher BMI, a lower prevalence of adjuvant therapy, and no two-stage reconstruction in the autologous group [10, 11, 29, 30]. Our new approach revealed that although BMI influences the overall “Satisfaction with Breasts” scores, it does not influence the difference in satisfaction between autologous and alloplastic BR. We identified baseline depression score, radiotherapy, indication for mastectomy, and Clavien-Dindo 3 or higher complications as important confounding factors [31]. These factors are partly correlated and represent characteristics, which deserve special attention. Preoperative depression is associated with complications and more common after breast cancer [32]. Also, radiotherapy will only be given after definitive breast cancer diagnosis. As all autologous reconstruction patients received RT before reconstruction, the lower score after surgery could be a delayed effect but could also be due to fatigue, or its influence on wound healing [33]. Further research is needed to investigate a possible correlation between these factors.

Another important finding is that the differences in “Psychosocial Well-being” and “Sexual Well-being” can be explained by patient and treatment characteristics. In both subscales, the preoperative baseline, the SF-36 score, and having had radiotherapy changed the correlation coefficient but also significantly influenced the Breast-Q score. In “Sexual Well-being,” women undergoing immediate BR scored preoperatively 17 points higher than women undergoing delayed BR, an important nuance often overlooked in studies lacking preoperative measurements or adopting different research questions and statistical analyses [9, 11, 12, 34]. The studies that included preoperative measurement had a different research question and therefore choose a different statistical analysis [19, 35]. In the majority of previous studies, autologous BR scored higher on “Satisfaction with Breasts” and “Psychosocial,” “Physical,” and “Sexual Well-being” than alloplastic BR. We are the first to correct for patient and treatment characteristics per scale based on their influence on the effect size of BR technique on QoL. Our finding is consistent with a published randomized BR study where women eligible for both techniques were randomized, excluding patients only eligible for one of the two techniques [36]. The findings of this study corroborate ours and also showed that only the difference in satisfaction with breast and physical well-being remains at the end of follow-up, although we reached this conclusion by using statistical analysis method, leaving more inclusive results for the general patient population [36].

None of the Breast-Q subscales showed a meaningful change in scores between the alloplastic and autologous groups between 6 weeks and 3 years, but over time, the overall scores for “Physical,” “Psychosocial Well-being” and “Satisfaction with Breasts” increased. A previous study showed that autologous BR patients still score higher on all Breast-Q scales 9–13 years after BR [29]. For the subscale “Satisfaction with Breasts,” autologous BR is definitely superior; however, our study showed that for the other subscales the outcomes are more nuanced. The earlier found differences over time could be explained by the effect of patient characteristics that are more prevalent in one of two groups, for example, fear for implant rupture, breast implant disease, capsular contracture, or long-term effects of oncological treatment [12, 37–39]. We observed significantly lower Breast-Q scores preoperatively in most scales in the autologous group. In all Breast-Q scales, the superiority in score for alloplastic reconstruction shifts to autologous between baseline at 6 weeks after surgery. This underlines the difference in baseline characteristics. Alloplastic reconstruction patients mostly underwent immediate BR using tissue expanders and sometimes direct implants while autologous reconstruction surgery is mostly delayed. This explains the high increase in Breast-Q scores for the autologous BR group and the decrease for the alloplastic BR group at 6 weeks post-operatively. It also suggests that the intensity of autologous reconstructive surgery and the physical strain does not negatively influence QoL. Following this suggestion, we could look critically what risk of complications are affordable to choose for autologous reconstruction looking at long-term QoL.

Our study has several strengths. First, the main strength is its prospective nature including preoperative measurements; second, the addition of a 3-year follow-up is highly valuable as approximately 95% of patients have then completed their final reconstruction; third, the adjusted statistical models in which we corrected for patient characteristics; fourth, the use of the SF-36 to incorporate the general health of the patients as a confounding factor; fifth, the translation from the data to practical use [40]; and last, special attention to the inevitable risk of bias by dropouts.

There are also limitations. Due to the COVID-19 pandemic, elective surgeries, such as delayed BR and secondary corrections, were postponed, leading to long waiting lists. This may have resulted in a delayed completion of the surgical course [41, 42]. Analysing the dropouts showed that this had no effect on our results, although it decreased the power of our findings. This effected the possibilities we had in pinpointing the smaller differences. A larger cohort could also look at characteristics as type of mastectomy and degree of ptosis of the initial breasts. Lastly, an important difference between the two reconstruction techniques is the lack of a donor region in case of alloplastic reconstruction. Because the satisfaction with abdomen questionnaire was not applicable for the alloplastic group, this could not be included in the comparison.

Future prospective studies could also include no BR and other forms of BR such as the Goldilocks procedure and full BR using autologous fat transfer as these groups are growing and show different QoL patterns [42–46]. As this study shows the superiority of QoL for autologous BR despite the complication risk, a study to investigate the criteria for this form of reconstruction could be in place.

Conclusion

Autologous BR stays superior to alloplastic BR when it comes to “Satisfaction with Breasts” and “Physical Well-being,” despite the higher risk of complications and longer recovery time. Patients who suited best for autologous reconstruction are women who needed prophylactic mastectomy, were without depression preoperatively, and had minimal risk of severe complications.

Our findings contribute valuable insights to the ongoing discussion surrounding BR techniques and their implications for patients’ well-being. In the context of shared decision-making, it is crucial for the physician to consider that baseline psychosocial health and sexual well-being, along with patient characteristics, play a significant role in quality of life. Opting for autologous reconstruction does not necessarily guarantee an improvement in all aspects of QoL as we have shown that, if corrected for baseline characteristics, “Psychosocial Well-being” and “Sexual Well-being” subscales were not superior.

Acknowledgments

We wish to thank all the patients and staff for their contribution to this study.

Statement of Ethics

The study was approved by the Medical Ethics Committee University Medical Center Groningen (2010.191). Written informed consent was obtained from the patients before inclusion.

Conflict of Interest Statement

Paul M. N. Werker is a DMC member for Fidia Ltd, Milan-IT. Renumerations are used for research purposes. Iris L. Holt-Kedde, Nadia Sadok, Irene S. Krabbe-Timmerman, Geertruida H. de Bock, and Grigory Sidorenkov have nothing to disclose.

Funding Sources

There are no funding sources to be declared.

Author Contributions

I.L.H.-K., N.S., and I.S.K.-T. collected the data. G.B. and G.S. contributed to the analysis and interpretation of the results. I.L.H.-K. and N.S. took the lead in writing the manuscript. P.M.N.W. supervised the whole process. All authors provided critical feedback and helped shape the research, analysis, and manuscript.

Funding Statement

There are no funding sources to be declared.

Data Availability Statement

The data that support the findings of this study are available from the corresponding author, I.L.H.-K., upon reasonable request.

Supplementary Material.

Supplementary Material.

Supplementary Material.

Supplementary Material.

Supplementary Material.

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Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Data Availability Statement

The data that support the findings of this study are available from the corresponding author, I.L.H.-K., upon reasonable request.


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