The present study aimed to explore the potential of artificial intelligence (AI) methodology
based on magnetic resonance (MR) images to aid in the management of prostate cancer …

Background Accurate prediction of tumour response to neoadjuvant chemoradiotherapy
enables personalised perioperative therapy for locally advanced rectal cancer. We aimed to …

The evaluation of the efficacy of different therapies is of paramount importance for the
patients and the clinicians in oncology, and it is usually possible by performing imaging …

Radiographic imaging is routinely used to evaluate treatment response in solid tumors.
Current imaging response metrics do not reliably predict the underlying biological response …

Background Deep learning (DL) models can potentially improve prognostication of rectal
cancer but have not been systematically assessed. Purpose To develop and validate an MRI …

Neoadjuvant chemo-radiotherapy (CRT) followed by total mesorectal excision (TME)
represents the standard treatment for patients with locally advanced (≥ T3 or N+) rectal …

Background Accurate predictions of distant metastasis (DM) in locally advanced rectal
cancer (LARC) patients receiving neoadjuvant chemoradiotherapy (nCRT) are helpful in …

Background To analyse the performance of multicentre pre-treatment MRI-based radiomics
(MBR) signatures combined with clinical baseline characteristics and neoadjuvant treatment …

Cardiac magnetic resonance imaging (CMR) is the gold standard for cardiac function
assessment and plays a crucial role in diagnosing cardiovascular disease (CVD). However …

Dynamic therapy (DT) has emerged as a promising cancer therapy due to its non-invasive
treatment and good spatiotemporal control. However, the efficiency of DT is restricted by …