Oncoplastic breast surgery in older women with primary breast cancer: systematic review

Factors affecting upper limb functional recovery after mastectomy with immediate breast reconstruction: a prospective study

BACKGROUND

Little is known about the differences in postoperative shoulder function following two common approaches for immediate breast reconstruction (IBR): abdominal-based breast reconstruction and implant-based breast reconstruction (ABR and IMBR). It was hypothesized that postoperative upper limb function would differ between the ABR and IMBR due to incomplete detachment of the pectoral muscles.

PURPOSE

This study aimed to investigate the factors for shoulder function recovery post-IBR and compare recovery outcomes between ABR and IMBR.

METHODS

This single-center prospective follow-up study included 60 patients who underwent IBR for 4 months postoperatively. Patients were invited to complete functional measurements 1 and 4 months postoperatively. The primary outcome was improvement in upper limb disability based on the Q-DASH score. Secondary outcomes were functional shoulder recovery markers: shoulder flexibility, strength, movement accuracy, scapular alignment, body schema accuracy, and neuropathic pain. Repeated-measures analyzes of variance and linear regression were performed.

RESULTS

Within-group differences were found for most variables (p < .05) except for neuropathic pain (p = .929). However, there was no overall main group effect (p > .05). Multivariate regression analysis established significant models for ABR and IMBR (R2 = 0.430, p = .002 and R2 = 0.442, p < .001, respectively). However, the variables included in the model showed between-group differences.

CONCLUSION

Postoperative shoulder function was comparable between the two IBR approaches. However, different factors were associated with improved upper limb disability between ABR and IMBR. Acute rehabilitation focused on resolving muscle tightness and pain may help mitigate upper limb disabilities following IBR.Trial registration number: KCT 0006501.

Enhancing breast cancer surgery outcomes: A comprehensive review of oncoplastic techniques, surgical planning, and aesthetic considerations

Breast cancer is one of the most common types of cancer among women in Western countries. Historically treated with radical and modified radical surgeries, breast cancer is now primarily managed with breast-conserving surgery combined with postsurgical radiotherapy. Oncoplastic breast surgery, a technique that integrates aesthetic breast reduction methods with cancer surgery, has been developed as a tumor-specific approach to facilitate breast conservation while removing the tumor. This method allows for higher excision volumes with minimal aesthetic compromise. The main components of oncoplastic surgery are volume displacement and volume replacement techniques. This review discusses the essential role of oncoplastic techniques in breast-conserving surgery (BCS), which has evolved into the standard of care for early-stage breast cancer. Understanding these techniques is critical for all breast surgeons to optimize both aesthetic and oncologic outcomes.

Updates and Future Directions for the Nottingham Research Programme on Primary Breast Cancer in Older Women

The global population is ageing and the risk of breast cancer increases with age. Therefore, we can expect an increase in the number of cases of breast cancer worldwide in the next 20 years. Currently, there are few age-specific guidelines for the management of breast cancer in older women. The International Society of Geriatric Oncology and European Society of Breast Cancer guidelines on this topic were last updated in 2021 and provide some recommendations, although it is worth noting that, generally, the level of evidence pertaining to older women is low. The Nottingham research team on older women with primary breast cancer is working on three main aims in this cohort: (1) understand the unique biological differences between breast cancer in older compared to younger women, (2) explore the unique psycho-social factors that may be present in this population and differ from those found in younger women, as well as how this may influence treatment decisions, and (3) the cost-effectiveness of various treatment strategies in this cohort. This paper will outline key studies published by the Nottingham team in these areas to gather data and highlight future directions for the research group.

Deep learning-guided adjuvant chemotherapy selection for elderly patients with breast cancer

PURPOSE

The efficacy of adjuvant chemotherapy in elderly breast cancer patients is currently controversial. This study aims to provide personalized adjuvant chemotherapy recommendations using deep learning (DL).

METHODS

Six models with various causal inference approaches were trained to make individualized chemotherapy recommendations. Patients who received actual treatment recommended by DL models were compared with those who did not. Inverse probability treatment weighting (IPTW) was used to reduce bias. Linear regression, IPTW-adjusted risk difference (RD), and SurvSHAP(t) were used to interpret the best model.

RESULTS

A total of 5352 elderly breast cancer patients were included. The median (interquartile range) follow-up time was 52 (30-80) months. Among all models, the balanced individual treatment effect for survival data (BITES) performed best. Treatment according to following BITES recommendations was associated with survival benefit, with a multivariate hazard ratio (HR) of 0.78 (95% confidence interval (CI): 0.64-0.94), IPTW-adjusted HR of 0.74 (95% CI: 0.59-0.93), RD of 12.40% (95% CI: 8.01-16.90%), IPTW-adjusted RD of 11.50% (95% CI: 7.16-15.80%), difference in restricted mean survival time (dRMST) of 12.44 (95% CI: 8.28-16.60) months, IPTW-adjusted dRMST of 7.81 (95% CI: 2.93-11.93) months, and p value of the IPTW-adjusted Log-rank test of 0.033. By interpreting BITES, the debiased impact of patient characteristics on adjuvant chemotherapy was quantified, which mainly included breast cancer subtype, tumor size, number of positive lymph nodes, TNM stages, histological grades, and surgical type.

CONCLUSION

Our results emphasize the potential of DL models in guiding adjuvant chemotherapy decisions for elderly breast cancer patients.