Literature DB >> 35229192

Impact on Patient's Appearance Perception of Autologous and Implant Based Breast Reconstruction Following Mastectomy Using BREAST-Q.

Paolo Persichetti1,2, Mauro Barone1,3,2, Rosa Salzillo1, Annalisa Cogliandro1, Beniamino Brunetti1, Silvia Ciarrocchi1, Mario Alessandri Bonetti4, Stefania Tenna1, Michail Sorotos5,6, Fabio Santanelli Di Pompeo7.   

Abstract

INTRODUCTION: The purpose of this study is to determine if there is a better quality of life with one of the two techniques and if the results are in line with those already present in the literature. The hypothesis from which we started is to demonstrate that cancer patients who undergo a deep inferior epigastric perforator flap (DIEP) breast reconstruction surgery are more satisfied and have a higher level of quality of life compared to those subjected to an intervention of reconstruction with prosthesis.
MATERIALS AND METHODS: All patients undergoing reconstruction from January 2010 to July 2018 were eligible for inclusion. This is a retrospective cohort study carried out using the patients of two plastic surgery departments who have undergone monolateral or bilateral implant-based or DIEP flap breast reconstruction. We administered BREAST-Q questionnaire electronically almost 2 year after surgery. Patients were divided into two groups: implant-based and autologous breast reconstruction with DIEP flaps. Baseline demographics and patient characteristics were analyzed using a Students t-test (continuous variables) or Chi-square/Fisher's exact test (categorical variables). Mean standard deviation BREAST-Q scores were reported for the overall cohort and by modality for the postoperative period. The linear regression model was applied to all BREAST-Q score with all predictor factors.
RESULTS: Of the 1125 patients involved, only 325 met the inclusion criteria and were enrolled in this study; specifically, 133 (41%) DIEP and 192 (59%) prosthetic reconstructions. We summarized the results of the principal scales of BREAST-Q module: satisfaction with breast, psychosocial well-being, satisfaction with outcome, and sexual well-being in which the autologous group was always more satisfied. We reported results of all linear regression models with higher values for the DIEP group independently from predictors.
CONCLUSION: This is the first study performed on the Italian population that compares autologous surgical techniques with the implantation of breast implants. In this population, DIEP is considered the technique that leads to the highest satisfaction in all BREAST-Q scores. LEVEL OF EVIDENCE IV: This journal requires that authors assign a level of evidence to each article. For a full description of these Evidence-Based Medicine ratings, please refer to the Table of Contents or the online Instructions to Authors www.springer.com/00266 .
© 2022. The Author(s).

Entities:  

Keywords:  BREAST-Q; Breast reconstruction; Diep flap; Implant-based reconstruction; Patient satisfaction; Quality of life

Mesh:

Year:  2022        PMID: 35229192      PMCID: PMC9411234          DOI: 10.1007/s00266-022-02776-z

Source DB:  PubMed          Journal:  Aesthetic Plast Surg        ISSN: 0364-216X            Impact factor:   2.708


Introduction

The breasts represent the fulcrum of female sexuality and are one of the central and most important points for all women [1, 2]. It has been well known for decades that mastectomy involves not only a physical demolition, but also results in psychological discomfort in a woman’s social, relational, and sexual life [3, 4]. Over the decades, reconstructive surgery techniques have been increasingly refined in order to allow patients to have a high quality of life. The reconstructive technique must be chosen based on the characteristics of the patient, the therapies already performed or to be performed, and the tissue to be reconstructed [4-7]. However, we can evaluate in the long term and with the same initial condition and therapy, what is the percentage of the body of women who have undergone mastectomy and who have been reconstructed with microsurgical flaps and breast implants [8, 9]. Patient-reported outcomes following breast reconstruction are one of the most important success parameters. In this systematic review and meta-analysis, we aimed to compare the two methods using the recognized BREAST-Q questionnaire [3, 9]. In the literature, there are already comparative and prospective studies concerning this topic, all of which conclude that microsurgical reconstructions lead to the best long-term results, with fewer secondary procedures and with a better quality of life [10-13]. Many studies have been performed with generic evaluation scales, with ad hoc questionnaires, and others with specific questionnaires. BREAST-Q is currently the most complete questionnaire and is indicated as the best tool for postoperative evaluation of breast interventions [14]. Few studies have used BREAST-Q. In Italy, there is no study that compares the two long-term reconstructive techniques using the BREAST-Q. For this reason, the purpose of this study is to determine if there is a better quality of life with one of the two techniques and if the results are in line with those already present in the literature. The hypothesis from which we started is to demonstrate that cancer patients who undergo a deep inferior epigastric perforator flap (DIEP) breast reconstruction surgery are more satisfied and have a higher level of quality of life compared to those subjected to an intervention of reconstruction with prosthesis.

Materials and Methods

An institutional review board approved this study, which was performed to evaluate PROs (patients reported outcomes) in post-mastectomy breast reconstruction and which were assessed as a component of routine clinical care. All patients undergoing reconstruction from January 2010 to July 2018 were eligible for inclusion. This is a retrospective cohort study carried out using the patients of two plastic surgery departments who have undergone monolateral or bilateral implant-based (Campus Bio-Medico University Hospital of Rome) or DIEP flap breast reconstruction (Sant’Andrea University Hospital of Rome). The BREAST-Q PROM (patients reported outcome measures) was administered postoperatively almost 2 years from the last surgical procedure. Patients were divided into two groups: implant-based and autologous breast reconstruction with DIEP flaps. Inclusion criteria consisted of patients who underwent to breast reconstruction for cancer, had a follow-up of at least 2 years, were fluent in the Italian language, and signed the study consent. Patients having undergone prophylactic mastectomy due to genetic indication from deleterious BRCA1/2 or CDH1 mutations were also included in the study. Patients were excluded if they underwent delayed procedures, had a follow-up of less than 2 years, had postoperative complications that compromised reconstruction, and were legally incompetent, as well as women who did not sign the consent form to participate to this study. Patient responses were recorded on-site, either electronically or physically. Demographic data, treatment method, and postoperative outcomes were recorded secondarily. Variables recorded for each patient included age, body mass index (BMI), history of smoking, preoperative/postoperative breast irradiation, neoadjuvant/adjuvant chemotherapy, diabetes, hypertension, and timing. Baseline demographics and patient characteristics were analyzed using a Students t-test (continuous variables) or Chi-square/Fisher’s exact test (categorical variables). Mean standard deviation (SD) BREAST-Q scores were reported for the overall cohort and by modality for the postoperative period. The linear regression model was applied to all BREAST-Q score with all predictor factors. Linear regression attempts to model the relationship between two variables by fitting a linear equation to observed data. One variable is considered to be an explanatory variable, and the other is considered to be a dependent variable.

BREAST-Q

BREAST-Q [15], published in 2009, is a rigorously developed and validated breast surgery-specific PRO-instrument. It has been used to evaluate over 22,000 women who had different types of breast surgery. Development of the BREAST-Q conceptual framework and scale set involved the literature review, 48 patient interviews, and 46 cognitive patient interviews, along with an expert opinion panel comprising plastic surgeons and other healthcare professionals. The scales were then tested on a sample of 2715 patients, with a response rate of 72%. The BREAST-Q reconstruction module has the following scales: satisfaction with breasts, outcome satisfaction, psychosocial well-being, sexual well-being, physical well-being, and chest and upper body satisfaction. In the BREAST-Q development sample (n = 1950), each scale fulfilled the Rasch and traditional psychometric criteria (including person separation index, 0.79–0.95; Cronbach’s alpha, 0.83–0.95; and test-retest reproducibility, 0.73–0.94).

Results

Of the 1125 patients involved, only 325 met the inclusion criteria and were enrolled in this study; specifically, 133 (41%) DIEP and 192 (59%) prosthetic reconstructions. The characteristics of the population studied (age, BMI, years since reconstruction, type of mastectomy, chemotherapy, radiotherapy, hormone therapy, comorbidities including diabetes, hypertension, and smoking) are shown in Table 1. Among those who underwent DIEP flap, 49 had a modified radical mastectomy, 11 had a radical mastectomy, 29 had a skin sparing mastectomy, 27 had a nipple mastectomy, and 7 patients had another type of mastectomy. For implant-based reconstruction, 30 patients underwent a modified radical mastectomy, 30 had a radical mastectomy, 30 had a skin sparing mastectomy, 50 underwent a nipple sparing mastectomy, 18 had a skin reducing mastectomy, and 34 patients had another type of mastectomy. There were 82.5% patients that underwent unilateral and 17.5% who underwent bilateral mastectomy and reconstruction. Pre-reconstructive therapies included radiotherapy in 48.3%, chemotherapy in 37.5%, and hormone therapy in 37.5%. Table 2 shows the results of all of the modules of BREAST-Q between the two groups with a statistical significance for the DIEP group (all scales with a P value < 0.001). In Figure 1, we summarized the average values of the BMI, age of patients, and follow-up of the two groups. For the age: First, there are no significant differences for the mean and variance of the two distributions (Levane's test is just > 0.05, 0.053 to be precise). The boxplot shows that the heterologous distribution has greater variability, the height of the boxplot is more marked (18 vs 13 years), as is the median (delta = 1.5). For follow-up: The tests do not reveal a significant difference between the means, while the variance is significant. At a glance, it is easy to see that the DIEP distribution is more variable than the implant-based (although the average and median are fairly aligned). DIEP patients had a lower BMI. The tests show that there are differences on average and the DIEP distribution is more variable. In Fig. 2, we summarized the results of the principal scales of BREAST-Q module: satisfaction with breast, psychosocial well-being, satisfaction with outcome, and sexual well-being in which the autologous group was always more satisfied. In Fig. 3, we represent the quality of life and satisfaction of the two groups in base of the type of reconstruction with a higher satisfaction and quality of life for DIEP. From Tables 3, 4, 5, 6, and 7, we reported results of all linear regression models with higher values for the DIEP group independently from predictors.
Table 1

Population data

Procedure type
CharacteristicAutologous reconstruction (DIEP) (n = 133)*Implant-based Reconstruction (n = 192)*P value
Age, mean (SD)51.3 (9.5)51.9 (10.7)0.622
Years after surgery, mean (SD)4.7 (2.7)4.8 (1.2)0.632
BMI**, mean (SD)25.2 (4.0)26.2 (2.9)0.017
Laterality of reconstruction, number (%)
Unilateral110 (82.7)158 (82.3)
Bilateral23 (17.3)34 (17.7)0.923
Mastectomy Type, number (%)
Modified radical49 (36.8)30 (15.6)
Radical11 (8.3)30 (15.6)
Skin sparing29 (21.8)30 (15.6)< 0.001
Nipple sparing37 (27.8)50 (26.0)
Other7 (5.3)52 (27.1)
Radiotherapy, number (%)
Yes, adjuvant50 (37.6)76 (39.6)
Yes, neoadjuvant11 (8.3)20 (10.4)0.698
No72 (54.1)96 (50.0)
Chemotherapy, number (%)
Yes, adjuvant8 (6.0)25 (13.0)
Yes, neoadjuvant32 (24.1)57 (29.7)0.035
No93 (69.9)110 (57.3)
Hormone Therapy, number (%)
Yes46 (34.6)76 (39.6)
No87 (65.4)116 (60.4)0.360
Diabetes, number (%)
Yes4 (3.0)8 (4.2)
No129 (97.0)184 (95.8)0.586
Hypertension, number (%)
Yes33 (24.8)56 (29.2)
No100 (75.2)136 (70.8)0.387
Smoking status
Never smoker62 (46.6)96 (50.0)
Previous smoker34 (25.6)42 (21.9)0.724
Current smoker37 (27.8)54 (28.1)

*The cell values may not total to the overall cohort size owing to missing data

**Calculated as weight in kilograms divided by height in meters squared

Table 2

Results of all of the modules of BREAST-Q between the two groups

Procedure type
BREAST-QAutologous reconstruction (DIEP) (n = 133)*Implant-based reconstruction (n = 192)*P value
Satisfaction with Breast, mean (SD)62.7 (16.2)52.9 (12.1)< 0.001
Satisfaction with Outcome, mean (SD)77.7 (18.8)66.5 (17.2)< 0.001
Psychosocial well-being, mean (SD)67.1 (20.4)57.7 (11.9)< 0.001
Sexual well-being, mean (SD)52.6 (23.5)42.4 (10.3)< 0.001
Physical well-being: chest, mean (SD)73.3 (16.6)65.2 (9.5)< 0.001

*The cell values may not total to the overall cohort size owing to missing data.

Fig. 1

The average values of the BMI, age of patients, and follow-up of the two groups

Fig. 2

Results of the principal scales of BREAST-Q module

Fig. 3

Quality of life and satisfaction of the two groups in base of the type of reconstruction

Table 3

Linear regression model: satisfaction with breasts

VariableBStandard errortP value

Procedure type (ref = IBR)

DIEP

11.1691.7816.2700.000
Mastectomy type (ref = modified radical)
Radical4.4462.8931.537Ns
Skin sparing0.6582.4780.265Ns
Nipple sparing4.9782.2682.1940.029
Other5.9583.3341.787ns
Laterality (ref = bilateral)
Unilateral4.1572.8661.450ns
Years after surgery− 0.6440.436− 1.477ns
Radiotherapy (ref = none)
Adjuvant− 2.4441.722− 1.420ns
Neoadjuvant2.1662.7590.785Ns
Chemotherapy (ref = None)
Adjuvant2.6172.7310.958Ns
Neoadjuvant− 0.9331.831− 0.509ns
Hormonotherapy (ref = No)
Yes1.2741.6390.777ns
Age at interview− 0.0290.077− 0.379ns
BMI− 0.2020.248− 0.814Ns
Smoking (ref = nonsmoker)
Previous smoker− 0.7032.001− 0.351Ns
Current smoker− 1.5231.879− 0.810ns
Diabetes (ref = no)
Yes− 3.6514.196− 0.870ns
Hypertension (ref = no)
Yes− 1.5391.779− 0.865ns
Table 4

Linear regression model: satisfaction with outcome

VariableBStandard errortP value

Procedure type (ref = IBR)

DIEP

11.5362.3045.0080.000
Mastectomy type (ref = Modified Radical)
Radical4.4243.7291.186Ns
Skin sparing1.2643.1980.395Ns
Nipple sparing6.3652.9392.1660.031
Other0.2894.3060.067ns
Laterality (ref = Bilateral)
Unilateral− 1.2293.688− 0.333ns
Years after surgery− 0.7460.562− 1.328ns
Radiotherapy (ref = none)
Adjuvant− 2.5242.219− 1.138ns
Neoadjuvant− 0.4213.553− 0.119Ns
Chemotherapy (ref = None)
Adjuvant4.0723.5131.159Ns
Neoadjuvant1.6652.3620.705ns
Hormonotherapy (ref = No)
Yes2.5692.1151.215ns
Age at interview0.1860.1001.861ns
BMI− 0.2680.332− 0.809Ns
Smoking (ref = nonsmoker)
Previous smoker2.1252.5780.824Ns
Current smoker0.6172.4230.255ns
Diabetes (ref = no)
Yes− 0.0705.397− 0.013ns
Hypertension (ref = no)
Yes− 0.1292.301− 0.056ns
Table 5

Linear regression model: psychosocial well-being

VariableBStandard errortP value

Procedure type (ref = IBR)

DIEP

11.0821.9675.6330.000
Mastectomy type (ref = Modified Radical)
Radical6.9213.2032.1610.032
Skin sparing− 2.4682.722− 0.907Ns
Nipple sparing7.3012.4922.9290.004
Other1.8793.6640.513ns
Laterality (ref = Bilateral)
Unilateral− 0.0933.150− 0.029ns
Years after surgery− 1.6690.480− 3.4800.001
Radiotherapy (ref = none)
Adjuvant2.5131.8921.328ns
Neoadjuvant3.2603.0711.061Ns
Chemotherapy (ref = None)
Adjuvant4.4623.0001.487Ns
Neoadjuvant− 0.8542.013− 0.424ns
Hormonotherapy (ref = No)
Yes1.0131.8020.562ns
Age at interview0.2320.0852.7270.007
BMI− 0.2280.272− 0.837Ns
Smoking (ref = nonsmoker)
Previous smoker1.5812.2010.718Ns
Current smoker− 2.5662.068− 1.241ns
Diabetes (ref = no)
Yes5.1854.6111.125ns
Hypertension (ref = no)
Yes1.2921.9630.658ns
Table 6

Linear regression model: sexual well-being

VariableBStandard errortP value

Procedure type (ref = IBR)

DIEP

11.0362.1895.0420.000
Mastectomy type (ref = Modified Radical)
Radical− 0.6413.494− 0.183Ns
Skin sparing− 2.3193.031− 0.765Ns
Nipple Sparing1.6812.7610.609ns
Other1.5334.1160.372ns
Laterality (ref = Bilateral)
Unilateral5.4443.5131.550ns
Years after surgery− 0.8730.528− 1.651ns
Radiotherapy (ref = none)
Adjuvant− 0.5632.085− 0.270ns
Neoadjuvant4.2873.2761.309Ns
Chemotherapy (ref = None)
Adjuvant3.0473.3510.909Ns
Neoadjuvant− 1.9172.221− 0.863ns
Hormonotherapy (ref = No)
Yes− 1.0191.982− 0.514ns
Age at interview− 0.0300.095− 0.315ns
BMI− 0.2730.316− 0.862Ns
Smoking (ref = nonsmoker)
Previous smoker2.8702.4411.175Ns
Current smoker0.0872.2650.038ns
Diabetes (ref = no)
Yes0.3234.9810.065ns
Hypertension (ref = no)
Yes0.9832.1700.453ns
Table 7

Linear regression model: physical well-being chest

VariableBStandard errortP value
Procedure type (ref = IBR) DIEP10.1641.6526.1540.000
Mastectomy type (ref = modified radical)
Radical4.6872.6731.754Ns
Skin sparing− 0.6102.288− 0.267Ns
Nipple sparing4.4542.1062.1150.035
Other7.2553.0792.3560.019
Laterality (ref = Bilateral)
Unilateral5.3942.6472.0380.042
Years after surgery− 0.7620.402− 1.894ns
Radiotherapy (ref = none)
Adjuvant1.3001.5910.817ns
Neoadjuvant3.6452.5501.429Ns
Chemotherapy (ref = None)
Adjuvant3.3082.5221.312Ns
Neoadjuvant− 1.4121.693− 0.834ns
Hormonotherapy (ref = No)
Yes1.6751.5181.104ns
Age at interview0.0230.0720.316ns
BMI0.0510.2310.221Ns
Smoking (ref = nonsmoker)
Previous smoker− 0.4211.851− 0.227Ns
Current smoker− 2.7311.738− 1.571ns
Diabetes (ref = no)
Yes− 1.0673.875− 0.275ns
Hypertension (ref = no)
Yes0.5731.6520.347ns
Population data *The cell values may not total to the overall cohort size owing to missing data **Calculated as weight in kilograms divided by height in meters squared Results of all of the modules of BREAST-Q between the two groups *The cell values may not total to the overall cohort size owing to missing data. The average values of the BMI, age of patients, and follow-up of the two groups Results of the principal scales of BREAST-Q module Quality of life and satisfaction of the two groups in base of the type of reconstruction Linear regression model: satisfaction with breasts Procedure type (ref = IBR) DIEP Linear regression model: satisfaction with outcome Procedure type (ref = IBR) DIEP Linear regression model: psychosocial well-being Procedure type (ref = IBR) DIEP Linear regression model: sexual well-being Procedure type (ref = IBR) DIEP Linear regression model: physical well-being chest

Discussion

In the literature, there is a systematic review and meta-analysis comparing BREAST-Q data between autologous and implant-based breast reconstructions [16]. This systematic review and meta-analysis was performed to compare patient-reported outcomes of implant-based and autologous breast reconstruction. We found that autologous reconstruction yields a higher satisfaction with overall outcomes and breast. These findings can aid clinicians when discussing breast reconstruction options with patients. Only nine studies published in the literature are reported in this review and none for the Italian population. A comparative study on breast reconstruction with prosthesis or autologous should ideally be conducted in every country due to cultural issues and to have data from all countries regarding this type of surgery. Cultural influences are important and play a central role in the perception of the body. Furthermore, the use of BREAST-Q with all its modules needs to have as much feedback as possible for the cultural adaptation of the translation. Alshammari [17] from Saudi Arabia concluded the paper saying that, among the 61 patients studied, there was no significant difference in satisfaction between the autologous breast reconstruction and implant-based reconstruction group; however, this study was limited by a small sample with a short follow-up period, but it remains a study from the Arabic population. Dean [18], with a population from Australia, concluded their paper by saying that breast reconstruction is highly effective in improving the well-being of women undergoing mastectomy and that BREAST-Q is well suited for clinical effectiveness research and is easily incorporated into routine patient care. The same conclusion was made in the study by Lagendijk [19] from the Netherlands, who found that the scores of BREAST-Q serve as a reference value for different types of surgery in the study population and enable prospective use of patient-reported outcome in shared decision-making. Liu [20], who studied a cohort of 119 patients from China, concluded that the majority of patients in their study were most satisfied with the microsurgical abdominal flap breast reconstruction using BREAST-Q. McCarthy [21] conducted a study on 308 patients from the USA and concluded that immediate autogenous tissue reconstruction experience results in significantly less chest and upper body morbidity than in those who undergo either mastectomy with implant-based reconstruction or mastectomy alone. Moberg [22] from Norway concluded that women who underwent autologous-tissue breast reconstruction were more satisfied with the overall outcome than those who underwent implant-based breast reconstruction. Pirro [23] from the Czech Republic found that 65 patients who underwent autologous-tissue reconstruction had better satisfaction and outcomes with the reconstructed breast, while both techniques appear to equally improve psychosocial well-being, sexual well-being, and chest satisfaction. Moreover, the group of Santosa [24] from USA concluded that patients who underwent autologous reconstruction were more satisfied with their breasts and had greater psychosocial well-being and sexual well-being than those who underwent implant reconstruction. Weichman [25] from Germany affirmed in the conclusions that in their sample, the microsurgical breast reconstruction is efficacious in patients with a body mass index less than 22 kg/m and, when compared with prosthetic reconstruction, results in higher satisfaction with breasts. Another study [26] which is not included in the first review that we cited because the authors did not use the BREAST-Q but analyzed the Assessment of Outcomes and Healthcare Resource Utilization After Immediate Breast Reconstruction Comparing Implant- and Autologous-based Breast Reconstruction, found that complications and secondary breast procedures, including unplanned revisions, after breast reconstruction were common and varied by reconstructive modality, and the frequency of these secondary procedures adds substantial healthcare charges to the care of the breast reconstruction patient. Hu, et al. [27] (USA) compares 110 expander/implant and 109 transverse rectus abdominis myocutaneous reconstructions and they concluded that in the long term, TRAM patients had significantly greater esthetic satisfaction compared to those that had an expander/implant performed. One of the most important published studies about this topic is by Nelson et al. [28] (USA) that consisted of a cohort of 3268 patients, including 336 who underwent autologous breast reconstruction and 2932 that had implant-based breast reconstruction. This study presented the largest prospective examination of patient-reported outcomes in post-mastectomy reconstruction to date. Patients who opted for an autologous breast reconstruction had significantly higher satisfaction with their breast and quality of life at each assessed time point, but IBR patients had stable long-term satisfaction and quality of life postoperatively. All of these studies are important because they highlight two important points: (1) breast reconstruction is an integral part of the treatment after mastectomy and represents the surgical part that improves the quality of life of patients and (2) the choice of the technique is important and must be based on precise criteria and according to patient characteristics; moreover, reconstruction with the autologous technique remains the most satisfactory in the long term [29-31]. There is no one better technique than another, but we can certainly say that autologous techniques are better perceived by patients [32]. It would be excellent to discuss the bioethical concepts of a breast prosthetic device and its role in breast reconstruction to understand the real perception that one has of this device that is not originally part of the body [33]. Our study is the first to be carried out on an Italian population, and it contributes to increasing the case history regarding the comparison between autologous techniques and the use of prostheses and their impact on the patient’s quality of life. There have not been any other studies conducted in our country concerning this topic. Therefore, our contribution is fundamental to communicate that autologous techniques are also perceived as the most satisfactory in the long term in our population.

Conclusions

This is the first study performed on the Italian population that compares autologous surgical techniques with the implantation of breast implants. In this population, DIEP is considered the technique that leads to the highest satisfaction in all BREAST-Q scores. Each country should conduct a study on this topic because the perception of one's body could be influenced by cultural factors and it would be interesting to analyze the case history of each country that deals with this type of surgery.
  5 in total

1.  Tips and tricks for DIEP flap breast reconstruction in patients with previous abdominal scar.

Authors:  Rosaria Laporta; Benedetto Longo; Michail Sorotos; Fabio Santanelli di Pompeo
Journal:  Microsurgery       Date:  2015-08-03       Impact factor: 2.425

2.  Breast Reconstruction in Elderly Patients: Risk Factors, Clinical Outcomes, and Aesthetic Results.

Authors:  Rosaria Laporta; Michail Sorotos; Benedetto Longo; Fabio Santanelli di Pompeo
Journal:  J Reconstr Microsurg       Date:  2017-01-06       Impact factor: 2.873

3.  Time-dependent factors in DIEP flap breast reconstruction.

Authors:  Rosaria Laporta; Benedetto Longo; Michail Sorotos; Alessio Farcomeni; Vittoria Amorosi; Fabio Santanelli di Pompeo
Journal:  Microsurgery       Date:  2017-07-24       Impact factor: 2.425

4.  Breast Reconstruction in Obese and Exobese Patients.

Authors:  Annalisa Cogliandro; Mauro Barone; Barbara Cagli; Paolo Persichetti
Journal:  Plast Reconstr Surg       Date:  2020-11       Impact factor: 4.730

  5 in total

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