Needs assessment of surgical skills of interns: a qualitative study in metropolitan Melbourne, Australia.

Introduction: Upon graduation, newly qualified doctors are expected to manage complex and unwell patients, and adapt their prior learning to navigate an often-nuanced healthcare workplace environment. Surgical rotations can bring a unique set of learning curves and challenges to this already demanding transitional period. The aim of this study was to identify the training needs of medical students and early-career doctors in surgical skills, incorporating viewpoints from all stakeholder groups to provide a holistic insight into the provision of surgical education currently, and how it can be optimized to improve work preparedness.

Improving the prediction of chemotherapy dose-limiting toxicity in colon cancer patients using an AI-CT-based 3D body composition of the entire L1-L5 lumbar spine.

Purpose: Chemotherapy dose-limiting toxicities (DLT) pose a significant challenge in successful colon cancer treatment. Body composition analysis may enable tailored interventions thereby supporting the mitigation of chemotherapy toxic effects. This study aimed to evaluate and compare the effectiveness of using three-dimensional (3D) CT body composition measures from the entire lumbar spine levels (L1-L5) versus a single vertebral level (L3), the current gold standard, in predicting chemotherapy DLT in colon cancer patients.

Assessing the efficacy of artificial intelligence to provide peri-operative information for patients with a stoma.

Background: Stomas present significant lifestyle and psychological challenges for patients, requiring comprehensive education and support. Current educational methods have limitations in offering relevant information to the patient, highlighting a potential role for artificial intelligence (AI). This study examined the utility of AI in enhancing stoma therapy management following colorectal surgery.

Robots down-under: the current climate of robotic-assisted surgery education in Australia.

Australia has seen a significant rise in the use of Robotic-Assisted Surgery (RAS), with general surgery being the fastest-growing field in this technology. The proportion of general surgical RAS has grown from 1% to 17% of all RAS between 2008 and 2023 in Australasia. As of May 2023, there were 162 robotic platforms in Australasia, with 26 of them in the public sector.

Ostomy Information on the Internet-Is It Good Enough?

Purpose: The aim of this study was to determine which internet search engines and keywords patients with ostomies utilize, to identify the common websites using these terms, to determine what aspects of information they wanted, and to perform a quality and readability assessment for these websites.

Design: A cross-sectional survey of persons with ostomies to identify search engines and terms, followed by a structured assessment of the quality and readability of the identified web pages.

Subject And Settings: The sample comprised 20 hospitalized patients with ostomies cared for on a colorectal surgical ward of a tertiary care hospital located in Melbourne, Australia.

Using a new artificial intelligence-aided method to assess body composition CT segmentation in colorectal cancer patients.

Introduction: This study aimed to evaluate the accuracy of our own artificial intelligence (AI)-generated model to assess automated segmentation and quantification of body composition-derived computed tomography (CT) slices from the lumber (L3) region in colorectal cancer (CRC) patients.

Methods: A total of 541 axial CT slices at the L3 vertebra were retrospectively collected from 319 patients with CRC diagnosed during 2012-2019 at a single Australian tertiary institution, Western Health in Melbourne. A two-dimensional U-Net convolutional network was trained on 338 slices to segment muscle, visceral adipose tissue (VAT) and subcutaneous adipose tissue (SAT).

Digital health and medical technology for perioperative sarcopenia optimisation and prehabilitation - Where to go from here?

Sarcopenia has been shown to cause poorer outcomes in surgical oncology. With the advancement of artificial intelligence technology, body composition analysis can be obtained with ease. Given the lead time between cancer diagnosis and surgery, selected patients at risk of complications secondary to sarcopenia may be amenable to prehabilitation.

Two cases of atraumatic adrenal hemorrhage: A review of active management, conservative management, and challenges faced.

Adrenal hemorrhage (AH) is an uncommon and potentially disastrous affliction that carries an accepted mortality risk of 15%. Variable symptomatology can cause a diagnostic dilemma and may be missed. We present 2 cases of right-sided AH; both cases were initially presumed to be renal colic.

Body composition assessment by artificial intelligence can be a predictive tool for short-term postoperative complications in Hartmann's reversals.

Background: Hartmann's reversal, a complex elective surgery, reverses and closes the colostomy in individuals who previously underwent a Hartmann's procedure due to colonic pathology like cancer or diverticulitis. It demands careful planning and patient optimisation to help reduce postoperative complications. Preoperative evaluation of body composition has been useful in identifying patients at high risk of short-term postoperative outcomes following colorectal cancer surgery.

Colorectal cancer treatment outcomes during the pandemic: Our experience of COVID-19 at a tertiary referral center.

Backgrounds: The coronavirus disease 2019 (COVID-19) has led to major shifts in the management of colorectal cancer (CRC). This study aims to identify the impact and early outcomes of COVID-19 following CRC management at a tertiary referral center in Victoria, Australia.

Methods: This was a retrospective study, utilizing the Australian Comprehensive Cancer Outcomes and Research Database and inpatient records.

The association of body composition on chemotherapy toxicities in non-metastatic colorectal cancer patients: a systematic review.

Background: In recent years, certain body composition measures, assessed by computed tomography (CT), have been found to be associated with chemotherapy toxicities. This review aims to explore available data on the relationship between skeletal muscle and adiposity, including visceral adipose tissue (VAT), subcutaneous adipose tissue (SAT), intramuscular and intermuscular adipose tissue and their association with chemotherapy toxicity in non-metastatic colorectal cancer (CRC) patients.

Methods: A systematic literature search following PRISMA guidelines was conducted in Medline, Embase, Cochrane and Web of Science, for papers published between 2011 and 2023.

Identification of Differences in Body Composition Measures Using 3D-Derived Artificial Intelligence from Multiple CT Scans across the L3 Vertebra Compared to a Single Mid-Point L3 CT Scan.

Purpose: Body composition analysis in colorectal cancer (CRC) typically utilises a single 2D-abdominal axial CT slice taken at the mid-L3 level. The use of artificial intelligence (AI) allows for analysis of the entire L3 vertebra (non-mid-L3 and mid-L3). The goal of this study was to determine if the use of an AI approach offered any additional information on capturing body composition measures.

Can AI-based body composition assessment outperform body surface area in predicting dose-limiting toxicities for colonic cancer patients on chemotherapy?

Purpose: Gold standard chemotherapy dosage is based on body surface area (BSA); however many patients experience dose-limiting toxicities (DLT). We aimed to evaluate the effectiveness of BSA, two-dimensional (2D) and three-dimensional (3D) body composition (BC) measurements derived from Lumbar 3 vertebra (L3) computed tomography (CT) slices, in predicting DLT in colon cancer patients.

Methods: 203 patients (60.

Reversal of Hartmann's procedure: timelines, preoperative investigations and early outcomes. A single Australian institution's ten-year experience.

Background: Real-world data on outcomes following Hartmann's reversal is necessary to help optimize the patient experience. We have explored the timing between the index operation and its reversal; what investigations were carried out prior to this, and the associated short-term outcomes.

Methods: A retrospective study of all patients who underwent Hartmann's reversal from 2010 to 2020 within a tertiary referral centre in Melbourne, Australia.

Chronic rectal anastomosis complications prior to ileostomy reversal: development of a pilot classification system and associated outcomes.

Backgrounds: A loop ileostomy may reduce the severity of acute anastomotic complications after low rectal resection, but some patients have persistent rectal anastomotic problems. No consensus exists for the management of patients with a chronic low rectal anastomosis complication and a loop ileostomy. There is need for a standard description of these anastomotic complications and to determine whether it is safe to reverse the ileostomy.

Outcomes of perineal reconstruction with inferior gluteal artery myocutaneous flaps and primary closure following abdominoperineal resection.

Background: Perineal wound morbidity following abdominoperineal resection (APR) is a significant challenge. Myocutaneous flap-based techniques have been developed to overcome morbidity associated with perineal reconstruction. We reviewed outcomes for patients undergoing APR in a hospital that performs inferior gluteal artery myocutaneous (IGAM) island transposition flaps and primary closure (PC) for perineal reconstruction.