Our search of five databases revealed 38 articles of interest. The evidence supports the use of yoga therapy to improve the physical and psychosocial quality of life for breast cancer patients with a range of benefits relevant to radiation therapy.

A regional multicentre image quality review programme for mammography was developed consisting of a process of review of a sample of mammograms with image quality classification, independently performed by all first-level radiographers and by more experienced local reference radiographers, followed by a training effort and a monitoring work. The programme places emphasis on motivating and training the radiographers and not on testing them. Its results demonstrate that a successful image quality review initiative for radiographers is one that encourages them to participate with a positive and confident attitude.

How can we better understand and improve our practice around the physical and psychological well-being of women treated with radiation therapy for pelvic malignancy? In this issue, Summerfield et al report the results of a nationwide survey capturing practices around the management of radiation therapy-induced vaginal adhesions and stenosis (RTVAS) across New Zealand. This study highlights the need for oncologists to improve care around a challenging but critically important aspect of women’s health beyond a cancer diagnosis.

The objective of the study was to document the distribution of mammographic parenchymal patterns (MPP) of Indigenous Australian women and to profile breast cancer risk as it relates to breast density. A quantitative retrospective analysis reviewed 502 screening mammograms against the Tabár I–V MPP classification system. The study demonstrated that no identifiable or unique distribution of MPP was noted in this snapshot of Indigenous women.

This study developed a twin arc volumetric modulated arc therapy (VMAT) technique for gynaecological cancer patients. Comparisons between the VMAT and previously implemented 7–9 intensity modulated radiation therapy technique found comparable planning target volume coverage and improved organs at risk sparing.

Bone marrow sparing volumetric modulated arc therapy (BMS-VMAT) is a recent technique aimed at reducing haematological toxicity in patients with cervical and vaginal cancer undergoing chemoradiotherapy that could potentially result in treatment interruptions. Our retrospective study found that significant dosimetric sparing in active areas of bone marrow could be achieved, whilst maintaining clinically acceptable target and organ-at-risk doses, comparable to VMAT where BMS was not considered.

Accelerated partial breast irradiation (APBI) is the most common form of treatment for MRIgRT. The presence of the magnet does not affect target coverage or violate organ at risk (OAR) constraints compared to standard RT methods. Consideration is advised for skin and chestwall (CW) due to the electron return effect (ERE) and areas such as armpit and chin due to the electron stream effect (ESE).

Breast magnetic resonance imaging (MRI) now has an accepted place in screening younger women at high risk of breast cancer, and is increasingly used in a number of other settings including assessment of response to neo-adjuvant therapy and local staging of cancer. Although the evidence for its general use in these settings is very limited, in highly selected patients, especially where discordance with conventional measurements occurs, MRI can have a place in assessing the extent of disease, both whether operable and how operable, and guiding surgery. These scenarios and future indications and alternative technologies are explored in this paper.

Many radiation techniques have been employed in the trend of moving towards more hypofractionated regimens in the treatment of early breast cancer. This editorial articulates the advantages of using multi-catheter interstitial brachytherapy when delivering extreme hypofractionation for partial breast radiation.

This study investigates the imaging doses related to breast size for three imaging modalities used in breast radiotherapy. The study's main finding was that the primary breast volume inversely correlated with the contralateral breast dose for all three imaging modalities. As the primary breast volume increases, the likelihood of a patient developing a radiation-induced secondary cancer to the contralateral breast decreases.

This article explores the current research and developments in using convolutional neural networks for mammography diagnosis. Current developments are focused on four distinct categories; however, limitations of this artificial intelligence withhold it from clinical implementation.

Comprehensive lymph nodal (CLN) radiotherapy can improve the outcomes for advanced breast cancer patients, but it can be particularly challenging to balance target coverage and organ-at-risk sparing without complex beam modification (VMAT avoidance sectors, hybrid IMRT/VMAT fields, other) to limit the low-dose wash and potential second malignancy risk. By presenting the first application of iterative learning to a knowledge-based planning model in CLN-breast radiotherapy, this study demonstrates that a simple and robust ipsilateral VMAT class solution can be applied without increase in low-dose wash compared to benchmark base-tangential IMRT/VMAT methods.