Qualitative and quantitative QC monitoring was feasible and highly reproducible in a large multicenter research study, which facilitated the production of high-quality ultrasound images. We recommend that the QC system we developed is implemented in future research studies and clinical practice. Copyright © 2017 ISUOG. Published by John Wiley & Sons Ltd.

Background: Risk assessment is relevant to predict postoperative outcomes in patients with gastro-oesophageal cancer. This cohort study aimed to assess body composition changes during neoadjuvant chemotherapy and investigate their association with postoperative complications. Methods: Consecutive patients with gastro-oesophageal cancer undergoing neoadjuvant chemotherapy and surgery with curative intent between 2016 and 2019 were identified from a specific database and included in the study. CT images before and after neoadjuvant chemotherapy were used to assess the skeletal muscle index, sarcopenia, and subcutaneous and visceral fat index. Results: In a cohort of 199 patients, the mean skeletal muscle index decreased during neoadjuvant therapy (from 51⋅187 to 49⋅19 cm 2 /m 2 ; P < 0⋅001) and the rate of sarcopenia increased (from 42⋅2 to 54⋅3 per cent; P < 0⋅001). A skeletal muscle index decrease greater than 5 per cent was not associated with an increased risk of total postoperative complications (odds ratio 0⋅91, 95 per cent c.i. 0⋅52 to 1⋅59; P = 0⋅736) or severe complications (odds ratio 0⋅66, 0⋅29 to 1⋅53; P = 0⋅329). Conclusion: Skeletal muscle index decreased during neoadjuvant therapy but was not associated with postoperative complications.

Background Large studies comparing totally minimally invasive oesophagectomy (TMIE) with laparoscopically assisted (hybrid) oesophagectomy are lacking. Although randomized trials have compared TMIE invasive with open oesophagectomy, daily clinical practice does not always resemble the results reported in such trials. The aim of the present study was to compare complications after totally minimally invasive, hybrid and open Ivor Lewis oesophagectomy in patients with oesophageal cancer. Methods The study was performed using data from the International Esodata Study Group registered between February 2015 and December 2019. The primary outcome was pneumonia, and secondary outcomes included the incidence and severity of anastomotic leakage, (major) complications, duration of hospital stay, escalation of care, and 90-day mortality. Data were analysed using multivariable multilevel models. Results Some 8640 patients were included between 2015 and 2019. Patients undergoing TMIE had a lower incidence of pneumonia than those having hybrid (10.9 versus 16.3 per cent; odds ratio (OR) 0.56, 95 per cent c.i. 0.40 to 0.80) or open (10.9 versus 17.4 per cent; OR 0.60, 0.42 to 0.84) oesophagectomy, and had a shorter hospital stay (median 10 (i.q.r. 8–16) days versus 14 (11–19) days (P = 0.041) and 11 (9–16) days (P = 0.027) respectively). The rate of anastomotic leakage was higher after TMIE than hybrid (15.1 versus 10.7 per cent; OR 1.47, 1.01 to 2.13) or open (15.1 versus 7.3 per cent; OR 1.73, 1.26 to 2.38) procedures. Conclusion Compared with hybrid and open Ivor Lewis oesophagectomy, TMIE resulted in a lower pneumonia rate, a shorter duration of hospital stay, but higher anastomotic leakage rates. Therefore, no clear advantage was seen for either TMIE, hybrid or open Ivor Lewis oesophagectomy when performed in daily clinical practice.

BACKGROUND & AIMS: Barrett's epithelium measurement using widely accepted Prague C&M classification is highly operator dependent. We propose a novel methodology for measuring this risk score automatically. The method also enables quantification of the area of Barrett's epithelium (BEA) and islands, which was not possible before. Furthermore, it allows 3-dimensional (3D) reconstruction of the esophageal surface, enabling interactive 3D visualization. We aimed to assess the accuracy of the proposed artificial intelligence system on both phantom and endoscopic patient data. METHODS: Using advanced deep learning, a depth estimator network is used to predict endoscope camera distance from the gastric folds. By segmenting BEA and gastroesophageal junction and projecting them to the estimated mm distances, we measure C&M scores including the BEA. The derived endoscopy artificial intelligence system was tested on a purpose-built 3D printed esophagus phantom with varying BEAs and on 194 high-definition videos from 131 patients with C&M values scored by expert endoscopists. RESULTS: Endoscopic phantom video data demonstrated a 97.2% accuracy with a marginal ± 0.9 mm average deviation for C&M and island measurements, while for BEA we achieved 98.4% accuracy with only ±0.4 cm 2 average deviation compared with ground-truth. On patient data, the C&M measurements provided by our system concurred with expert scores with marginal overall relative error (mean difference) of 8% (3.6 mm) and 7% (2.8 mm) for C and M scores, respectively. CONCLUSIONS: The proposed methodology automatically extracts Prague C&M scores with high accuracy. Quantification and 3D reconstruction of the entire Barrett's area provides new opportunities for risk stratification and assessment of therapy response.

In quality assessment of umbilical and uterine artery pulsed wave Doppler measurements, an objective six-point image scoring system is associated with greater reproducibility than subjective assessment. We recommend this as the preferred method for quality control, audit and teaching. This article is protected by copyright. All rights reserved.