Skip to main content
In Vivo logoLink to In Vivo
. 2021 May 3;35(3):1821–1828. doi: 10.21873/invivo.12443

Quality of Life in Early Breast Cancer Patients: A Prospective Observational Study Using the FACT-B Questionnaire

LUCIA ANNA URSINI 1, MARIANNA NUZZO 1, CONSUELO ROSA 1,2, FIORELLA CRISTINA DI GUGLIELMO 1, MONICA DI TOMMASO 1, MARIANNA TRIGNANI 1, MARZIA BORGIA 1, ALBINA ALLAJBEJ 1, FABIOLA PATANI 1, CLELIA DI CARLO 1, ANNAMARIA PORRECA 3, MARTA DI NICOLA 4, DOMENICO GENOVESI 1,2, LUCIANA CARAVATTA 1
PMCID: PMC8193314  PMID: 33910868

Abstract

Background/Aim: Quality of life (QoL) in early breast cancer (BC) treatment may be affected by acute and late toxicities. This study evaluated the impact of radiotherapy (RT) schedules, treatment-related toxicities, hormone therapy (HT) and age on QoL. Patients and Methods: Ninety-five patients answered the FACT-B 4.0 questionnaire. Acute or late toxicities were recorded at each follow-up visit. Results: The median trend of the QoL subscales was stable during all questionnaires. HT negatively impacted on Functional Assessment of Cancer Therapy-General-Total, functional and emotional wellbeing. No difference was recorded between RT schedules and toxicity. No significant differences for age were detected in QoL. Conclusion: RT seems not to influence QoL of BC patients, in terms of fractionation regimen or RT-related side-effects. Moreover, women having systemic HT experienced a QoL worse than patients treated with RT only. Further and long-term protocols are needed to improve the validity of the tool.

Keywords: Early breast cancer, hormone therapy, hypofractionation, quality of life, radiation therapy


Advances in diagnosis and treatment of breast cancer (BC) have led to an increase in cancer survival, resulting in quality of life (QoL) improvement. Breast conserving surgery followed by adjuvant radiation therapy (RT) is the current standard treatment for early BC. Local and systemic treatments could cause skin dyschromia, lymphedema, fatigue, hot flashes, sexual dysfunction, and arthralgia with consequent changes in physical appearance and routine activities. These toxicities may persist for a long time after treatment with a subsequent decline in QoL (1). Studies have shown that in clinical trials QoL represents an important endpoint, whose assessment could contribute to improved treatment and patient’s satisfaction (2-5). Under this scenario, the main aim of the study was to evaluate the impact of RT and hormone therapy (HT) on the QoL during the first 2 years after RT. Fractionation schedules (conventional vs. hypofractionation), radiation toxicities and age were also investigated. QoL was evaluated with Functional Assessment of Chronic Illness Therapy General Questionnaire and its Breast Cancer Supplement (FACT-B) questionnaire (https://www.facit.org), version 4.0 in Italian language. This tool is deemed as a quick and well validated multi-dimensional self-report questionnaire with subscales measuring physical, social, emotional, and functional well-being and contains additional concerns in breast cancer (6).

Patients and Methods

The study was designed as a prospective observational research project and was approved by the Ethics Committee of the “SS Annunziata” Hospital, “G. D’Annunzio” University, Chieti, Italy on 9th May 2018. All patients were treated in our Radiotherapy Department and provided written informed consent. Medical records of enrolled patients were marked by a pink circle to streamline the identification process during treatment and follow-up.

Inclusion criteria were: female patients, age ≥18 years, histologically proven breast cancer, ductal carcinoma in situ and invasive carcinoma stage I-II, breast conservative surgery and adjuvant radiotherapy.

Exclusion criteria were: neoadjuvant or adjuvant chemotherapy, neoadjuvant hormone therapy, psychiatric disorder or addictions, loco-regional relapse, previous diagnosed cancer, active collagenopathies and distant metastasis.

QoL was evaluated with Functional Assessment of Chronic Illness Therapy General Questionnaire, including Breast Cancer Supplement (FACT-B) questionnaire (https://www.facit.org), version 4.0 in Italian language. It consists of a standardized approach to objectively evaluate and quantify the overall health status of patients employing a quick and well validated multi-dimensional self-report questionnaire with subscales measuring physical, social, emotional, and functional well-being and contains additional concerns in breast cancer (7,8).

The FACT-B contains 37 questions and is structured in two sections: FACT-general (FACT-G) and a disease specific domain for breast cancer (BCS).

The FACT-G consists in four domains:

• physical wellbeing (PWB), focusing on fatigue, nausea, pain, treatment related symptoms, family care;

• social/family wellbeing (SWB): acceptance and support of family and friends;

• emotional wellbeing (EWB): feelings about the disease and its course;

• functional wellbeing (FWB): professional and personal activities, quality of sleep.

The BCS domain includes additional specific items about breast cancer: physical, psychological and aesthetical disorders due to cancer and therapies (8).

There are 7 items for PWB, 7 items for SWB, 6 items for EWB, 7 items for FWB, and 10 items for additional concerns about BCS. The values for each question range from 0 (not at all) to 4 (very much). When single questions are skipped, scores are prorated using the average of the other answers in the scale and counted in the results (9). Final scores (FACT-B-Total) of all subscales range from 0 to 148, where 148 represents the most favorable score and accordingly a highest QoL. It is also possible to calculate a Trial Outcome Index (TOI) as the sum of the PWB, FWB and BCS as a summary index; TOI is responsive to change in physical and functional outcomes, sometimes instead of an overall multidimensional aggregated score (10).

FACT-B questionnaire was compiled by the patients themselves at the start of RT treatment (baseline assessment), at the end of RT and during follow-up visits at 3-6-18 months (maximum 5 questionnaires administered per patient). Where necessary, the patients were supported by a Physician. Estimated response time to questions was less than 10 minutes.

During the administration of the questionnaire, acute (up to 3 months after the end of RT) and late (>3 months) toxicities were evaluated according to Radiation Therapy Oncology Group/European Organization for Research and Treatment of Cancer (RTOG/EORTC), respectively, at each medical control.

A comparison was made between fractionation (conventional or hypofractionation) and hormonal therapy (prescribed or not prescribed) and Age (<65 years vs. ≥65 years).

Preliminary analysis was made, and an upgrade of data will be conducted at 30 months after the beginning of the study.

Statistical analysis. Descriptive statistics was used to describe general and clinical characteristics of the treated patients. The distribution of data for each variable was assessed for normality using the Shapiro-Wilk test. For variables not normally distributed (tested at 95%), non-parametric statistical tests were used, and the median was reported (1st quartile -3rd quartile). The quality of life (QoL) was assessed by PWB, SWB, EWB, FWB, BCS, FACT-B-TOI, FACT-G-Total, FACT-B-Total variables evaluated at 5 time point. An overall measure was calculated by the mean of the 5 measures. Friedman test was used to detect repeated measurement differences. The Mann-Whitney U-test was used to compare differences between two independent groups. Kruskal-Wallis test was used to detect differences between more than two independent groups. The Chi-squared test was used to detect independence between Age (<65 years and ≥65 years) and RT schedule, Hormone Therapy, Acute Skin Toxicity, Late Skin Toxicity and Late Sub-cutaneous Toxicity. The level for significance was set at p<0.05. All tests were performed using the R environment for statistical computing and graphics version 3.5.2 (R Foundation for Statistical Computing, Vienna, Austria; https://www.R-project.org/).

Results

From 2018 to 2020, a total of 105 early BC patients were selected and recruited in the Radiation Oncology Departments of Chieti, Italy. Among 105 patients, 95 completed at least three FACT-B questionnaires and their data were analyzed. From March 2020, due to the COVID-19 pandemic, the questionnaires were administered via telephone. Clinical and demographic patient characteristics are listed in Table I.

Table I. Clinical and demographic patient characteristics.

graphic file with name in_vivo-35-1822-i0001.jpg

RT: Radiotherapy; DCIS: ductal carcinoma in situ.

All patients underwent adjuvant RT after breast conservative surgery. The average age of the enrolled patients was 59.3±9.1 years (range=38-77). Seventy-seven patients (81.1%) presented stage I disease with invasive breast cancer. Eighty-three patients (87.4%) were hormone receptor status positive and received adjuvant HT concurrently with RT. In addition, 28 (33.8%) of these women received anti-estrogens, luteinizing hormone-releasing hormone (LHRH) agonists.

Thirty-seven patients (38.9%) received conventional fractionated schedule (50 Gy-2.0 Gy/die) and 58 patients (61.1%) received hypofractionated regimen (42.5 Gy-2.6 Gy/die). Forty-three patients (45.3%) got a sequential electron boost (10-14 Gy) to the tumor bed region.

Table II shows the median values of the variables for the QoL evaluation at any time of administration. For each variable we obtained a p>0.05, showing no differences for all variables in the five questionnaires. Therefore, the QoL scores did not change significantly during or after RT.

Table II. Median score (1st Quartile – 3rd Quartile) and range (in brackets) for all Functional Assessment of Cancer Therapy-Breast variables at the time of administration of the questionnaire.

graphic file with name in_vivo-35-1823-i0001.jpg

PWB: Physical wellbeing; SWB: social/family wellbeing; EWB: emotional wellbeing; FWB: functional wellbeing; BCS: breast cancer specific concerns; FACT-B-TOI: Functional Assessment of Cancer Therapy-Breast-Trial Outcome Index; FACT-G-Total: Functional Assessment of Cancer Therapy-General-Total. *License to use the module and the scoring system may be obtained on www.facit.org. Friedman test was used to detect repeated measurement differences. Overall regarded the median scores for each variable during time.

Table III shows the differences for the FACT-B variables with respect to RT schedule (conventional fractionated vs. hypofractionation) and HT. Statistically significant differences of EWB (emotional wellbeing, p=0.044), FWB (functional wellbeing, p=0.009), and FACT-B-Total (Functional Assessment of Cancer Therapy-General-Total, p=0.011) was observed between patients treated or not with adjuvant HT (87.4% patients).

Table III. Difference for scores and range (in brackets) of all Functional Assessment of Cancer Therapy-Breast variables for RT schedule (conventional fractionated versus hypofractionation) and HT, and p-Value for Mann U Whitney test.

graphic file with name in_vivo-35-1824-i0001.jpg

RT: Radiotherapy; PWB: physical wellbeing; SWB: social/family wellbeing; EWB: emotional wellbeing; FWB: functional wellbeing; BCS: breast cancer specific concerns; FACT-B-TOI: Functional Assessment of Cancer Therapy-Breast-Trial Outcome Index; FACT-G-Total: Functional Assessment of Cancer Therapy-General-Total. *License to use the module and the scoring system may be obtained on www.facit.org. Bold values show statistical significance.

Acute and late toxicities were collected at each medical evaluation and detailed in Table IV. Grade 3 and 2 acute skin toxicity was reported in 4.0% (4 patients) and 52.6% (50 patients) of cases. With a median follow-up of 16 months (6-22) any Grade >1 late toxicity was observed.

Table IV. Acute and late toxicities collected during all medical evaluations according to Radiation Therapy Oncology Group/European Organization for Research and Treatment of Cancer (RTOG/EORTC), respectively.

graphic file with name in_vivo-35-1824-i0002.jpg

Table V shows the median (1st quartile -3rd quartile) for the QoL variables with respect to skin toxicity. No differences were found for any of the QoL variables with respect to Cutaneous Toxicity.

Table V. Difference for scores and ranges (in brackets) of all Functional Assessment of Cancer Therapy-Breast variables for skin toxicity.

graphic file with name in_vivo-35-1825-i0001.jpg

PWB: Physical wellbeing; SWB: social/family wellbeing; EWB: emotional wellbeing; FWB: functional wellbeing; BCS: breast cancer specific concerns; FACT-B-TOI: Functional Assessment of Cancer Therapy-Breast-Trial Outcome Index; FACT-G-Total: Functional Assessment of Cancer Therapy-General-Total. *License to use the module and the scoring system may be obtained on www.facit.org.

QoL overall measurements and FACT variables were examined for women aged <65 years and ≥65 years. No significant differences for age were detected in QoL (Table VI). For RT schedule (conventional fractionated vs. hypofractionation) and HT the Chi-square test confirmed independence of factors (Table VII). Focusing on RT-side effects and age, elderly patients experienced more often an acute G2 toxicity (51.5%) compared to the younger group, in which the prevalent toxicity was G1 (54.8%).

Table VI. Median (1st Quartile – 3rd Quartile) scores and range (in brackets) for all Functional Assessment of Cancer Therapy-Breast variables by Age group.

graphic file with name in_vivo-35-1825-i0002.jpg

PWB: Physical wellbeing; SWB: social/family wellbeing; EWB: emotional wellbeing; FWB: functional wellbeing; BCS: breast cancer specific concerns; FACT-B-TOI: Functional Assessment of Cancer Therapy-Breast-Trial Outcome Index; FACT-G-Total: Functional Assessment of Cancer Therapy-General-Total. Bold values show significance. p-Values result from Mann U Whitney test. *License to use the module and the scoring system may be obtained on www.facit.org.

Table VII. Frequency (Column percentage) with respect to Age for RT schedule (conventional fractionated vs. hypofractionation), HT and toxicities.

graphic file with name in_vivo-35-1826-i0001.jpg

RT: Radiotherapy. Bold values show statistical significance.

Regarding late toxicity, no differences were found for any variables of FACT-B questionnaire. Besides, we signal a greater incidence of late G1 skin (24.2% vs. 12.9%) and subcutaneous (12.1% vs. 0.0%) toxicity in patients aged ≥65 years. Table VII shows frequencies (column percentages) with respect to age groups for RT schedule (conventional fractionated vs. hypofractionation), HT and toxicities. For Acute Skin Toxicity and Late Sub-cutaneous Toxicity, the null hypothesis of independence is rejected: there is an association between age and toxicity levels (p<0.001 and p<0.013, respectively).

Discussion

The aim of this prospective observational study was to evaluate if RT, HT, treatment-related toxicities, and age would affect QoL of early BC patients. In our study, the overall FACT-B scores showed no changes during and after RT. This suggest that the patients who were enrolled did not experience a worsening of QoL due to RT, in line with findings in previous literature.

In a prospective study of 2016, early BC patients treated with post-lumpectomy RT showed a stable QoL during and after treatment (11). In an earlier large phase 3 randomized clinical trial, Prescott et al. compared QoL of early-stage in BC patients who received or did not receive adjuvant RT. Their results reported similar QoL between their two treatment arms within 15 months after surgery (12) and were corroborated in a longer follow-up (5-years), confirming the robustness of observations (13).

In another study patients treated with conservative surgery and RT with or without systemic therapy reported high and stable QoL for up to 15 years of follow-up. In addition, the patient scores were comparable to those seen in non-BC patients (14). Referring to the adopted RT schedules, international literature is controversial. Munshi et al. (15) in 2010 supported a non-significant impact of the total duration of radiation treatment on post-RT QoL scores. On the other hand, Hamer et al. in 2016 suggested that patients treated with conventional RT regimen may experience worse QoL compared to those who underwent a hypofractionated dose due to a greater number of hospital visits, with several implications on patients’ life. These findings are also confirmed by a recent study in which QoL of BC patients was improved when a hypofractionated regimen was chosen (16). In accordance with Munshi et al., our study did not objectively detect any changes in QoL of patients treated with conventional fractionation, reporting similar scores in all subscales when compared to patients undergoing hypofractionated regimen (15).

Moreover, BC is approached with a multimodal treatment strategy, including HT, that may impact patient QoL in different ways. Common treatment side-effects are fatigue, hot flashes, pain, sexual dysfunction, arthralgia, neuropathy, cognitive dysfunction, lymphedema, cardiac morbidity (17). Some symptoms may have a multiple negative impact on QoL, causing asthenia and hampering sleep. These morbidities are investigated in FACT-B questionnaire through specific BC related items. It is not easy to attribute QoL effects, such as BC-related symptoms, to a specific adjuvant strategy in a multimodal therapy. In this scenario, Fallowfield et al. assumed that for some young women with a good prognosis, induction of a premature menopause may be considered too high a price to pay for adjuvant therapy (17).

Some studies focusing on adjuvant HT in early-stage BC have reported similar impact of anastrozole and tamoxifene on QoL in postmenopausal patients, and the maintenance of their side-effects during all treatments (18). Most of our patients were hormone receptor-positive and received adjuvant HT (87.4%); 28 (33.8%) of these women took anti-estrogens, luteinizing hormone-releasing hormone (LHRH) agonists. Our analysis showed a worsening of emotional wellbeing (EWB) (p=0.044), functional wellbeing (FWB) (p=0.009), and FACT-B-Total (p=0.011) in the HT group.

Concerning RT toxicity, it is known that acute and late effects on normal tissues could adversely contribute to body image and related QoL parameters (19). Skin RT-related toxicity negatively affects QoL of BC patients in multiple-dimension analysis (20). In this respect, a study conducted in 2016 from Hannah et al. investigating QoL among early BC patients, found higher FACT-B scores in patients with Grade 0-1 CTCAE toxicities versus Grade 2-3 (21).

The patients treated in our Center received weekly medical visits during RT and at 3-6-18 months during follow-up. Good tolerance profile was reported in terms of both acute and late toxicities, showing no significative implications on QoL.

In terms of implications related to age, younger patients are more likely to suffer adverse effects because of early menopause induction and potential infertility. This patient group is more likely to have a lower QoL (22,23) and to be more vulnerable to the emotional burden and psychological impact of BC. Furthermore, in other studies older patients appear more vulnerable to a reduced QoL, in accordance with reduced physical functioning after surgery and adjuvant therapy (23,24). In a 2009 review on long-term BC survivors, older patients seemed better prepared mentally to deal with treatments, despite their age-related co-morbidities (25,26) as opposed to younger patients.

Khool et al. found that BC patients preferred avoiding severe breast symptoms rather than obtaining a longer 2-year disease-free survival. While younger patients assign higher importance to a 2-year longer disease-free survival, older patients are more afraid of receiving systemic therapies (27).

Although a significant worst G1 toxicity was assessed in older patients regarding acute skin toxicity (p<0.001) and late sub-cutaneous toxicity (p=0.013), our data did not show difference in QoL between two age groups (<65 years vs. ≥65 years) concerning RT fractionation (p=0.229) or HT (p=0.057). These results are in line with those of Kunkler et al. which assumed that postoperative RT after breast conserving surgery did not seem to compromise older patients’ QoL (28).

In conclusion, our cohort was represented by a rather homogeneous group of patients in a favorable stage. The FACT-B questionnaire was confirmed as a quick and easy way to assess QoL in early-BC patients. The long survival rates and increasing proportions of cured patients require dedicated strategies to manage long-term sequelae of BC treatments, with particular attention to QoL (28). Currently the definition of QoL is not universally accepted; it changed over the years, becoming more complex and enriched across several disciplines. It should be viewed as multidimensional (29,30), emphasizing the self-perception of the individual’s current state of mind (31,32). The results of our study reflect the actual situation and seem to be promising with positive patient satisfaction with the treatment.

On the other hand, nowadays breast cancer survivorship is one of the most challenging aspects to be investigated in dedicated clinical trials with a larger number of patients and a longer follow-up. Furthermore, the study is still ongoing to validate our results on QoL reaching a median follow-up of 30 months. The analysis will be conducted to assess an eventual “rebound effect” on QoL, as described in a study conducted by Holzner et al. (33). This type of study, focusing on patients’ QoL with long-term follow-up may help monitor the outcomes considered most important by patients, with a consequent greater satisfaction of care provided (33).

Conflicts of Interest

The Authors report no conflicts of interest.

Authors’ Contributions

LAU, MN, DG and LC designed and coordinated the study and analysis. FCDG, MB, AA, FP and CDC provided data. FCDG, CR and MDT performed main data analysis and provided pictures elaboration. AP and MDN performed statistical data analysis. LAU, MN, CR, FCDG, MB, MDT and MT drafted the manuscript. DG and LC critically revised the study and the manuscript. All Authors reviewed and approved the final manuscript.

References

  • 1.Van Dijck S, Nelissen P, Verbelen H, Tjalma W, Gebruers N. The effects of physical self-management on quality of life in breast cancer patients: A systematic review. Breast. 2016;28:20–28. doi: 10.1016/j.breast.2016.04.010. [DOI] [PubMed] [Google Scholar]
  • 2.Chopra I, Kamal K. A systematic review of quality of life instruments in long-term breast cancer survivors. Health and Quality of Life Outcomes. 2016;10(1):14. doi: 10.1186/1477-7525-10-14. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Montazeri A. Health-related quality of life in breast cancer patients: A bibliographic review of the literature from 1974 to 2007. J Exp Clin Cancer Res. 2008;27:32. doi: 10.1186/1756-9966-27-32. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Lemieux J, Goodwin PJ, Bordeleau LJ, Lauzier S, Théberge V. Quality-of-life measurement in randomized clinical trials in breast cancer: An updated systematic review (2001-2009) J Natl Cancer Inst. 2011;103(3):178–231. doi: 10.1093/jnci/djq508. [DOI] [PubMed] [Google Scholar]
  • 5.Hamer J, McDonald R, Zhang L, Verma S, Leahey A, Ecclestone C, Bedard G, Pulenzas N, Bhatia A, Chow R, DeAngelis C, Ellis J, Rakovitch E, Lee J, Chow E. Quality of life (QOL) and symptom burden (SB) in patients with breast cancer. Support Care Cancer. 2017;25(2):409–419. doi: 10.1007/s00520-016-3417-6. [DOI] [PubMed] [Google Scholar]
  • 6.Brady MJ, Cella DF, Mo F, Bonomi AE, Tulsky DS, Lloyd SR, Deasy S, Cobleigh M, Shiomoto G. Reliability and validity of the functional assessment of cancer therapy-breast quality-of-life instrument. J Clin Oncol. 1997;15(3):974–986. doi: 10.1200/JCO.1997.15.3.974. [DOI] [PubMed] [Google Scholar]
  • 7.Cella DF, Tulsky DS, Gray G, Sarafian B, Linn E, Bonomi A, Silberman M, Yellen SB, Winicour P, Brannon J. the functional assessment of cancer therapy scale: Development and validation of the general measure. J Clin Oncol. 1993;11(3):570–579. doi: 10.1200/JCO.1993.11.3.570. [DOI] [PubMed] [Google Scholar]
  • 8.Di Bella O, Cocchiara RA, De Luca A, Frusone F, Aceti V, Sestili C, D’Egidio V, Mannocci A, Monti M, La Torre G. Functional assessment of cancer therapy questionnaire for breast cancer (FACT-B+4): Italian version validation. Clin Ter. 2018;169(4):e151–e154. doi: 10.7417/T.2018.2071. [DOI] [PubMed] [Google Scholar]
  • 9.Pandey M, Thomas BC, Ramdas K, Eremenco S, Nair MK. Quality of life in breast cancer patients: Validation of a FACT-B Malayalam version. Qual Life Res. 2002;11(2):87–90. doi: 10.1023/a:1015083713014. [DOI] [PubMed] [Google Scholar]
  • 10.Webster K, Cella D, Yost K. The functional assessment of chronic illness therapy (FACIT) measurement system: Properties, applications, and interpretation. Health Qual Life Outcomes. 2003;1:79. doi: 10.1186/1477-7525-1-79. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Xiao C, Miller AH, Felger J, Mister D, Liu T, Torres MA. A prospective study of quality of life in breast cancer patients undergoing radiation therapy. Adv Radiat Oncol. 2016;1(1):10–16. doi: 10.1016/j.adro.2016.01.003. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Prescott RJ, Kunkler IH, Williams LJ, King CC, Jack W, van der Pol M, Goh TT, Lindley R, Cairns J. A randomised controlled trial of postoperative radiotherapy following breast-conserving surgery in a minimum-risk older population. The PRIME trial. Health Technol Assess. 2007;11(31):1–149, iii-iv. doi: 10.3310/hta11310. [DOI] [PubMed] [Google Scholar]
  • 13.Williams LJ, Kunkler IH, King CC, Jack W, van der Pol M. A randomised controlled trial of post-operative radiotherapy following breast-conserving surgery in a minimum-risk population. Quality of life at 5 years in the PRIME trial. Health Technol Assess. 2011;15(12):i–xi, 1-57. doi: 10.3310/hta15120. [DOI] [PubMed] [Google Scholar]
  • 14.Freedman GM, Li T, Anderson PR, Nicolaou N, Konski A. Health states of women after conservative surgery and radiation for breast cancer. Breast Cancer Res Treat. 2010;121(2):519–526. doi: 10.1007/s10549-009-0552-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Munshi A, Dutta D, Kakkar S, Budrukkar A, Jalali R, Sarin R, Gupta S, Parmar V, Badwe R. Comparison of early quality of life in patients treated with radiotherapy following mastectomy or breast conservation therapy: A prospective study. Radiother Oncol. 2010;97(2):288–293. doi: 10.1016/j.radonc.2010.04.008. [DOI] [PubMed] [Google Scholar]
  • 16.Arsenault J, Parpia S, Goldberg M, Rakovitch E, Reiter H, Doherty M, Lukka H, Sussman J, Wright J, Julian J, Whelan T. Acute toxicity and quality of life of hypofractionated radiation therapy for breast cancer. Int J Radiat Oncol Biol Phys. 2020;107(5):943–948. doi: 10.1016/j.ijrobp.2020.03.049. [DOI] [PubMed] [Google Scholar]
  • 17.Fallowfield LJ, Leaity SK, Howell A, Benson S, Cella D. Assessment of quality of life in women undergoing hormonal therapy for breast cancer: Validation of an endocrine symptom subscale for the FACT-B. Breast Cancer Res Treat. 1999;55(2):189–199. doi: 10.1023/a:1006263818115. [DOI] [PubMed] [Google Scholar]
  • 18.Reimer T, Gerber B. Quality-of-life considerations in the treatment of early-stage breast cancer in the elderly. Drugs Aging. 2010;27(10):791–800. doi: 10.2165/11584700-000000000-00000. [DOI] [PubMed] [Google Scholar]
  • 19.Hopwood P, Haviland J, Mills J, Sumo G, M Bliss J, START Trial Management Group The impact of age and clinical factors on quality of life in early breast cancer: An analysis of 2208 women recruited to the UK START trial (Standardisation of Breast Radiotherapy Trial) Breast. 2007;16(3):241–251. doi: 10.1016/j.breast.2006.11.003. [DOI] [PubMed] [Google Scholar]
  • 20.Schnur JB, Ouellette SC, Dilorenzo TA, Green S, Montgomery GH. A qualitative analysis of acute skin toxicity among breast cancer radiotherapy patients. Psychooncology. 2011;20(3):260–268. doi: 10.1002/pon.1734. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Hahn E, Segawa E, Kaiser K, Cella D, Smith B. Health-related quality of life among women with ductal carcinomain situor early invasive breast cancer: Validation of the FACT-B (version 4) Expert Review of Quality of Life in Cancer Care. 2020;1(1):99–109. doi: 10.1080/23809000.2016.1134259. [DOI] [Google Scholar]
  • 22.Cohen L, Hamer J, Helwig C, Fergus K, Kiss A, Mandel R, Dawson B, Landsberg A, Shein K, Kay N, Warner E. Formal evaluation of PYNK: Breast cancer program for young women-the patient perspective. Curr Oncol. 2016;23(2):e102–e108. doi: 10.3747/co.23.2773. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Avis NE, Crawford S, Manuel J. Quality of life among younger women with breast cancer. J Clin Oncol. 2005;23(15):3322–3330. doi: 10.1200/JCO.2005.05.130. [DOI] [PubMed] [Google Scholar]
  • 24.Leach CR, Bellizzi KM, Hurria A, Reeve BB. Is it my cancer or am I just getting older?: Impact of cancer on age-related health conditions of older cancer survivors. Cancer. 2016;122(12):1946–1953. doi: 10.1002/cncr.29914. [DOI] [PubMed] [Google Scholar]
  • 25.Ballinger RS, Fallowfield LJ. Quality of life and patient-reported outcomes in the older breast cancer patient. Clin Oncol (R Coll Radiol) 2009;21(2):140–155. doi: 10.1016/j.clon.2008.11.003. [DOI] [PubMed] [Google Scholar]
  • 26.Mokhatri-Hesari P, Montazeri A. Health-related quality of life in breast cancer patients: Review of reviews from 2008 to 2018. Health Qual Life Outcomes. 2020;18(1):338. doi: 10.1186/s12955-020-01591-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Kool M, van der Sijp JR, Kroep JR, Liefers GJ, Jannink I, Guicherit OR, Vree R, Bastiaannet E, van de Velde CJ, Marang-van de Mheen PJ. Importance of patient reported outcome measures versus clinical outcomes for breast cancer patients evaluation on quality of care. Breast. 2016;27:62–68. doi: 10.1016/j.breast.2016.02.015. [DOI] [PubMed] [Google Scholar]
  • 28.Kunkler IH, Williams LJ, King CC, Jack W. Breast radiotherapy: Considerations in older patients. Clin Oncol (R Coll Radiol) 2009;21(2):111–117. doi: 10.1016/j.clon.2008.11.012. [DOI] [PubMed] [Google Scholar]
  • 29.Nardin S, Mora E, Varughese FM, D’Avanzo F, Vachanaram AR, Rossi V, Saggia C, Rubinelli S, Gennari A. Breast cancer survivorship, quality of life, and late toxicities. Front Oncol. 2020;10:864. doi: 10.3389/fonc.2020.00864. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.Porreca A, Cruz Rambaud S, Scozzari F, Di Nicola M. A fuzzy approach for analysing equitable and sustainable well-being in Italian regions. Int J Public Health. 2019;64(6):935–942. doi: 10.1007/s00038-019-01262-9. [DOI] [PubMed] [Google Scholar]
  • 31.Triberti S, Savioni L, Sebri V, Pravettoni G. eHealth for improving quality of life in breast cancer patients: A systematic review. Cancer Treat Rev. 2019;74:1–14. doi: 10.1016/j.ctrv.2019.01.003. [DOI] [PubMed] [Google Scholar]
  • 32.Davey S, Roche A, Pegba-Otemolu I, Ibrahim A, Ainsworth R. Comparison of patient satisfaction on a day-case mastectomy pathway for breast cancer versus a traditional inpatient delivery model, using a validated questionnaire. Anticancer Res. 2020;40(4):2179–2183. doi: 10.21873/anticanres.14178. [DOI] [PubMed] [Google Scholar]
  • 33.Holzner B, Kemmler G, Kopp M, Moschen R, Schweigkofler H, Dünser M, Margreiter R, Fleischhacker WW, Sperner-Unterweger B. Quality of life in breast cancer patients–not enough attention for long-term survivors. Psychosomatics. 2001;42(2):117–123. doi: 10.1176/appi.psy.42.2.117. [DOI] [PubMed] [Google Scholar]

Articles from In Vivo are provided here courtesy of International Institute of Anticancer Research

RESOURCES