Blog

Endoscopist performance outweighs high-risk polyps in colorectal cancer risk

The study reveals that the risk of post-colonoscopy colorectal cancer (PCCRC) primarily hinges on endoscopist performance rather than the presence of high-risk polyps. An analysis of data from 239,217 individuals found no significant association between high-risk polyps and PCCRC risk. Instead, higher adenoma detection rates (ADR) and proximal serrated polyp detection rates (PSPDR) correlated with reduced PCCRC risk. Clinicians are urged to audit endoscopist quality indicators, highlighting the need for improved surveillance practices.

Journal Article by van Roermund NS, Coupé VMH (…) IJspeert JEG et 3 al. in Clin Gastroenterol Hepatol

Copyright © 2025 The Author(s). Published by Elsevier Inc. All rights reserved.

read the whole article in Clin Gastroenterol Hepatol

open it in PubMed

A new system improves management of complex Crohn’s disease

A novel classification for ileocolic Crohn’s disease revealed that 56.8% of patients exhibit complex cases, linked to higher blood loss, prolonged hospital stays, and increased need for open surgery. Complex cases also experienced more emergencies and worse surgical outcomes compared to simpler forms. The classification system aims to enhance preoperative planning and communication among health teams, emphasizing the necessity for timely referrals to improve surgical interventions and patient outcomes in this challenging condition.

Journal Article by Gulmez M, Hinduja P (…) Remzi FH et 6 al. in BMC Surg

Copyright © 2025 Elsevier Inc. All rights reserved.

read the whole article in BMC Surg

open it in PubMed

Machine-learning model accurately predicts gallbladder polyp malignancy

A novel machine-learning model, particularly the random forest algorithm, distinguishes between benign and malignant gallbladder polyps, utilizing clinical and ultrasound data from 1,050 patients. Key predictive factors identified include polyp size, age, fibrinogen levels, and presence of stones. The model achieved impressive performance metrics with area under the curve values ranging from 0.940 to 0.963 in various cohorts, showcasing significant clinical applicability and offering a tool for preoperative decision-making regarding gallbladder polyp management.

Journal Article by Zeng J, Hu W (…) Qu C et 11 al. in BMC Surg

Copyright © 2025 The Authors. Published by Elsevier Inc. All rights reserved.

read the whole article in BMC Surg

open it in PubMed

Systemic indocyanine green lowers bilirubin levels post-liver surgery

A clinical trial involving 84 liver surgery patients revealed that systemic administration of indocyanine green (ICG) significantly reduced total bilirubin concentration in postoperative drainage fluid, compared to historical controls. On postoperative day three, the intervention group showed a mean difference of -1.11 mg/dl (p<0.001). No adverse events were reported, underscoring both the safety and effectiveness of ICG for minimizing bile leakage during hepatectomy.

Clinical Trial by Hanaki T, Goto K (…) Fujiwara Y et 14 al. in BMJ Open

© Author(s) (or their employer(s)) 2025. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ Group.

read the whole article in BMJ Open

open it in PubMed

Prehabilitation improves outcomes in gastrointestinal cancer surgeries

A systematic review reveals that multimodal prehabilitation programs significantly enhance functional capacity and reduce postoperative complications for patients undergoing major gastrointestinal cancer surgeries. These programs lead to shorter hospital stays and improved recovery, particularly in colorectal surgeries. However, the efficacy varies by cancer type, and while inpatient programs yield better results, they also incur higher costs. The study highlights challenges in patient adherence and emphasizes the need for tailored, cost-effective prehabilitation approaches in clinical practice.

Review by Ambulkar R, Kunte A (…) Rana PS et 3 al. in J Gastrointest Cancer

© 2025. The Author(s).

read the whole article in J Gastrointest Cancer

open it in PubMed

Feedback intervention boosts adherence to opioid prescribing guidelines

A study found that providing surgical clinicians with monthly feedback featuring peer comparisons and patient-reported outcomes significantly improved adherence to opioid prescribing guidelines from 57.2% to 71.8%. Following the intervention, adherence rates continued to rise, reaching 74.4% at follow-up. Notably, the greatest improvements occurred in orthopedic surgeries, such as knee, hip, and shoulder arthroplasties. Importantly, patient-reported measures of pain management remained stable throughout the study, indicating that pain control was not negatively impacted.

Journal Article by Agarwal AK, Ebert JP (…) Delgado MK et 10 al. in JAMA Surg

read the whole article in JAMA Surg

open it in PubMed

A machine learning model predicts anastomotic leakage after surgery

An advanced interpretable machine learning model, based on the XGBoost algorithm, shows promising results in predicting anastomotic leakage (AL) following rectal cancer resection. Utilizing data from multiple centers, the model achieved an AUC of 0.984 in the test set, with high accuracy, sensitivity, and specificity. Serum calcium ion levels emerged as a critical predictor. This framework aids clinicians in optimizing perioperative strategies and enhances decision-making in surgical contexts.

Multicenter Study by Kang BY, Qiao YH (…) Pei YJ et 4 al. in World J Gastroenterol

©The Author(s) 2025. Published by Baishideng Publishing Group Inc. All rights reserved.

read the whole article in World J Gastroenterol

open it in PubMed

AI model enhances diagnosis of anal injuries

A novel convolutional neural network (CNN) algorithm for endoanal ultrasound (EUS) efficiently distinguishes between benign anal injuries, notably achieving 100% accuracy for fissures. In assessing external and internal lacerations, the model demonstrated 82.5% sensitivity and 93.5% specificity, alongside 91.7% sensitivity and 85.9% specificity, respectively. This groundbreaking AI-assisted approach could significantly enhance diagnostic accuracy in proctology, reducing reliance on expert interpretation and supporting wider clinical application despite its initial single-center limitations.

Journal Article by Mascarenhas M, Almeida MJ (…) Poças C et 7 al. in Tech Coloproctol

© 2025. The Author(s).

read the whole article in Tech Coloproctol

open it in PubMed

Deep learning model accurately predicts postoperative complications

A deep learning neural network (DLNN) showed superior predictive ability for postoperative complications in laparoscopic right hemicolectomy, achieving an accuracy of 86%. Key predictors included intraoperative minimal bleeding and adherence to fast-track recovery protocols. Compared to traditional machine learning models, the DLNN outperformed decision trees and random forests, showcasing potential for enhancing patient safety and optimizing perioperative management. Future research should aim for external validation to enhance implementation across varied clinical environments.

Multicenter Study by Anania G, Mascagni P (…) Azzolina D et 12 al. in Tech Coloproctol

© 2025. The Author(s).

read the whole article in Tech Coloproctol

open it in PubMed

Endoscopic vacuum therapy outperforms traditional treatments for leakages

An overview of recent advancements reveals that endoscopic management of anastomotic leakage (AL) in the upper gastrointestinal tract has improved significantly. Endoscopic vacuum therapy (EVT) is now considered superior to traditional methods like sutures and stents, offering a lower complication rate and higher healing success. Smaller defects can still be treated effectively with endoscopic sutures and clips, while innovative techniques, such as vacuum stents and filmed drainage, provide promising options for larger leaks.

Review by Richter F and Ellrichmann M in Visc Med

© 2025 S. Karger AG, Basel.

read the whole article in Visc Med

open it in PubMed