Colorectal cancer (CRC) is the third most commonly diagnosed cancer worldwide. Several studies have indicated that rectal cancer is significantly different from colon cancer in terms of treatment, prognosis, and metastasis. Recently, the differential...
INTRODUCTION: Robotic surgical technology has been widely introduced and applied in various fields of surgery. The aim of this study was to analyze long-term oncological and urogenital functional outcomes following laparoscopic/robotic total mesorect...
BACKGROUND: Dividing a surgical procedure into a sequence of identifiable and meaningful steps facilitates intraoperative video data acquisition and storage. These efforts are especially valuable for technically challenging procedures that require in...
Radiographic imaging is routinely used to evaluate treatment response in solid tumors. Current imaging response metrics do not reliably predict the underlying biological response. Here, we present a multi-task deep learning approach that allows simul...
Background Conventional radiologic modalities perform poorly in the radiated rectum and are often unable to differentiate residual cancer from treatment scarring. Purpose To report the development and initial patient study of an imaging system compri...
We present a robust deep learning-based framework for dose calculations of abdominal tumours in a 1.5 T MRI radiotherapy system. For a set of patient plans, a convolutional neural network is trained on the dose of individual multi-leaf-collimator seg...
Transanal total mesorectal excision (taTME) is an emerging albeit complex technique to treat rectal cancer. The aim of this proof-of-concept preclinical study was to determine the technical feasibility of robotic taTME using the da Vinci SP (SP). Two...