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.

A qualitative study exploring stakeholders' perceptions of registry-based randomised controlled trials capacity and capability in Australia.

Background: Traditional randomised controlled trials (RCTs) are the gold standard for evaluating the effectiveness of interventions in clinical research. Traditional RCTs however are complex, expensive and have low external validity. Registry-based randomised controlled trials (RRCTs) are an emerging alternative approach that integrates the internal validity of a traditional RCT with the external validity of a clinical registry by recruiting more real-world patients and leveraging an existing registry platform for data collection.

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.

Artificial intelligence measured 3D lumbosacral body composition and clinical outcomes in rectal cancer patients.

Introduction: Patient body composition (BC) has been shown to help predict clinical outcomes in rectal cancer patients. Artificial intelligence algorithms have allowed for easier acquisition of BC measurements, creating a comprehensive BC profile in patients using data from an entire three-dimensional (3D) region of the body. This study has utilized AI technology to measure BC from the entire lumbosacral (L1-S5) region and assessed the associations between BC and clinical outcomes in rectal cancer patients who have undergone neoadjuvant therapy followed by surgery.

A Survey of Upper Extremity Musculoskeletal Ultrasound Use in a Surgical Practice.

The purpose of this study is to gather the practices and perceptions among upper extremity surgeons regarding the use of musculoskeletal ultrasound for diagnostic and therapeutic intervention. A 36-question survey was developed from a literature review and author consensus. This survey was then piloted among a small group of hand surgeons prior to distribution.

Initial Assessment of Resectability of Colorectal Cancer Liver Metastases Versus Clinical Outcome.

Background: Surgery improves long-term survival for resectable, liver-only metastatic colorectal cancer (mCRC). With no consensus definition of "resectable" disease, decisions regarding resectability are reliant on the expertise and judgement of the treating clinician working in consultation with a multidisciplinary team (MDT). This study examines the clinical outcome versus initial assessment of resectability in an Australian population with mCRC.

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.

Review article: Telehealth in Emergency Medicine in Australasia: Advantages and barriers.

The COVID-19 pandemic catapulted Telehealth to the forefront of Emergency Medicine (EM) as an alternative way of assessing and managing patients. This challenged the traditional idea that EM can only be practised within brick-and-mortar EDs. Many Emergency Physicians may find the idea of practising Telehealth in Emergency Medicine (TEM) confronting, particularly in the absence of training and clear practice guidelines.

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.

Artificial intelligence measured 3D body composition to predict pathological response in rectal cancer patients.

Background: The treatment of locally advanced rectal cancer (LARC) is moving towards total neoadjuvant therapy and potential organ preservation. Of particular interest are predictors of pathological complete response (pCR) that can guide personalized treatment. There are currently no clinical biomarkers which can accurately predict neoadjuvant therapy (NAT) response but body composition (BC) measures present as an emerging contender.

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.

Generative Large Language Models for Detection of Speech Recognition Errors in Radiology Reports.

This study evaluated the ability of generative large language models (LLMs) to detect speech recognition errors in radiology reports. A dataset of 3233 CT and MRI reports was assessed by radiologists for speech recognition errors. Errors were categorized as clinically significant or not clinically significant.

Adjuvant Chemotherapy for Older Patients With Stage III Colorectal Cancer: A Real-World Analysis of Treatment Recommendations, Treatment Administered and Impact on Cancer Recurrence.

Background: A substantial proportion of patients with stage III colorectal cancer (CRC) are older than 70 years. Optimal adjuvant chemotherapy (AC) for older patients (OP) continues to be debated, with subgroup analyses of randomized trials not demonstrating a survival benefit from the addition of oxaliplatin to a fluoropyrimidine backbone.

Patients And Methods: We analyzed the multisite Australian ACCORD registry, which prospectively collects patient, tumor and treatment data along with long term clinical follow-up.

Advanced flexible transvaginal mesh with high visibility under computerized tomography (CT) scan.

Pelvic floor disorders, including pelvic organ prolapse (POP) and stress urinary incontinence (SUI), are serious and very common. Surgery is commonly undertaken to restore the strength of the vaginal wall using transvaginal surgical mesh (TVM). However, up to 15% of TVM implants result in long-term complications, including pain, recurrent symptoms, and infection.

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.