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Improved Detection of Metastases in Esophageal Cancer

A review highlights that sentinel lymph node mapping significantly enhances metastasis detection in esophageal cancer. This technique targets lymph nodes likely to harbor metastases using various tracers, aiding surgical lymphadenectomy, increasing accuracy, and personalizing treatment. While the need for larger studies and long-term data remains, preliminary findings indicate improved staging without a notable rise in morbidity, emphasizing the potential for more effective treatment strategies in a cancer type known for its poor survival rates.

Review by Chopko TC, Maroun JW, Reisenauer JS and Tapias LF in Ann Surg Oncol

© 2025. Society of Surgical Oncology.

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Fibrinogen levels linked to improved survival in bleeding patients

A critical study found that pre-treatment fibrinogen levels below 1.3 g/l indicate poor prognosis in patients with major bleeding. Among 7,063 patients analyzed, those with fibrinogen above this threshold experienced a significant survival benefit after 28 days. Furthermore, a post-treatment fibrinogen target of 2.0-2.5 g/l was identified as optimal for enhancing survival rates. These findings suggest the importance of monitoring and managing fibrinogen levels in critically bleeding patients to improve ICU outcomes.

Journal Article by Ren B, Zhang Y (…) Chang Z et 3 al. in Eur J Trauma Emerg Surg

© 2025. The Author(s).

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Scoring systems accurately predict early recurrence in pancreatic cancer

A study involving 194 patients with borderline resectable pancreatic cancer revealed significant early recurrence rates, with 69% of patients experiencing recurrence, primarily within six months post-surgery. Researchers developed a preoperative scoring system using CA19-9 and CA125 levels, achieving an AUC of 0.700, alongside a postoperative scoring system based on CA19-9 response, with an AUC of 0.785. These tools effectively stratify recurrence risk, informing treatment decisions and optimizing patient outcomes.

Journal Article by He H, Zou CF (…) Fu DL et 5 al. in Gland Surg

Copyright © 2025 AME Publishing Company. All rights reserved.

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New prediction score enhances risk assessment in gallbladder cancer

An international study involving 3,676 gallbladder cancer patients identified critical risk factors for node involvement. Tumor stage, lymphovascular, and perineural infiltration were significant predictors, forming the omega node positivity prediction score (omega-nopps) with robust c-statistics of 0.81 and 0.79. This score highlights that incidental gallbladder cancer with poor differentiation and infiltration risks node positivity, suggesting the need for further treatment even in early-stage disease. The findings improve prognostic accuracy and treatment decision-making.

Multicenter Study by Balakrishnan A, Barmpounakis P (…) Adsay V et 17 al. in BJS Open

© The Author(s) 2025. Published by Oxford University Press on behalf of BJS Foundation Ltd.

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Predictive factors identified for positive circumferential resection margins

The incidence of positive circumferential resection margin (CRM) after robot-assisted total mesorectal excision (R-TME) was found to be 6.0% in a study of 1,390 patients. Significant predictors include CT4 tumors, involvement of the mesorectal fascia on MRI, and non-sphincter-saving surgeries. A predictive model demonstrated over 70% accuracy, estimating a 26% risk when all factors were present, helping to optimize patient selection and potentially enhance oncological outcomes for rectal cancer patients.

Multicenter Study by Geitenbeek RTJ, Burghgraef TA (…) Consten ECJ et 11 al. in BJS Open

© The Author(s) 2025. Published by Oxford University Press on behalf of BJS Foundation Ltd.

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miRNA classifier identifies occult liver metastasis in pancreatic cancer

A miRNA classifier has been developed to detect occult liver metastasis in pancreatic ductal adenocarcinoma (PDAC), revealing significant deregulation of 34 miRNAs in metastatic cases. This classifier, leveraging three key miRNAs (miR-483-5p, miR-6734-5p, and miR-548q), demonstrated high predictive efficacy in identifying metastasis, outperforming CA125 alone while showing comparable results when combined. These findings suggest that miRNA-based models can enhance early detection and clinical stratification, addressing the critical challenge of undetectable liver metastasis in PDAC.

Journal Article by Hu X, Xie Y (…) Kong X et 12 al. in Ann Surg

Copyright © 2025 The Author(s). Published by Wolters Kluwer Health, Inc.

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New model predicts risk of intestinal resection in hernia patients

Advanced machine-learning techniques successfully identified key predictors of intestinal resection in incarcerated inguinal hernia patients, including peritonitis, intestinal obstruction, neutrophil count, C-reactive protein, and preoperative total protein. The constructed model, validated externally, demonstrated strong predictive performance with an area under the curve exceeding 0.8 for all ten algorithms tested. Notably, the k-nearest neighbor algorithm showed the highest performance. This model aids clinicians in accurately assessing surgical risks and intestinal viability.

Journal Article by Zhou Z, Tong C (…) Yan L et 7 al. in BMC Surg

Copyright © 2025 Elsevier Inc. All rights reserved.

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Lymph node metastasis worsens survival in colorectal cancer with liver metastasis

Lymph node metastasis (LNM) significantly impacts cancer-specific survival (CSS) in colorectal cancer patients with liver metastasis (CRLM), as demonstrated in an analysis of 11,266 patients. Those with LNM exhibited poorer CSS compared to those without LNM, and this trend remained consistent across different cohorts. Incorporating N staging into the AJCC TNM system, particularly for M1a stage patients, may enhance prognostic evaluations, signaling vital adjustments to existing cancer staging frameworks.

Journal Article by Zhang Y, Li J (…) Jin S et 12 al. in Eur J Surg Oncol

Copyright © 2025 Elsevier Ltd, BASO ~ The Association for Cancer Surgery, and the European Society of Surgical Oncology. All rights reserved.

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Bedside endoscopy may expedite anastomotic leakage diagnosis

A multicenter prospective study aims to evaluate a clinical pathway using routine bedside endoscopy for early detection of anastomotic leakage (AL) following colorectal surgery. Researchers hypothesize that this approach will reduce the median time for AL diagnosis from 15 to 5 days. The pathway includes endoscopic inspection and guided CT scans within the first weeks post-surgery. Key outcomes will assess not only diagnosis time but also comfort, stoma rates, and cost-effectiveness among colorectal resection patients.

Journal Article by Nijssen DJ, Laméris W (…) Hompes R et 5 al. in Dig Surg

The Author(s). Published by S. Karger AG, Basel.

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Machine learning predicts duodenal stump leakage in gastric cancer.

A machine learning model was developed to predict duodenal stump leakage (DSL) in 1,107 gastric cancer patients post-gastrectomy. The model utilized 189 clinical features and evaluated six algorithms, with extreme gradient boosting (XGB) achieving the highest area under the receiver operating characteristic curve (AUROC) score of 0.880. Random forest followed with a score of 0.858. Inclusion of additional postoperative data significantly enhanced predictive accuracy, making predictions more reliable over time.

Journal Article by Chung JH, Kim Y (…) Jung W et 4 al. in Front Surg

© 2025 Chung, Kim, Lee, Lim, Hwang, Lee and Jung.

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