Contrast-enhanced intraoperative ultrasound improves detection of liver metastases during surgery for primary colorectal cancer.

HPB (Oxford)

Department of Hepato-Pancreato-Biliary Surgery, Bristol Royal Infirmary, Bristol, UK.

Published: April 2010

Background: Computed tomography (CT) is the most common staging investigation in colorectal cancer (CRC). Up to 25% of patients are found to have previously undetected hepatic lesions when intraoperative ultrasound (IOUS) of the liver is used during CRC resection. We aimed to assess the ability of IOUS to detect additional liver lesions/metastases at primary colorectal resection, and to evaluate whether contrast-enhanced IOUS (CE-IOUS) improves the detection and characterization of hepatic lesions.

Methods: We performed a single-centre, prospective pilot study. At CRC resection, patients underwent IOUS of the liver. Contrast-enhanced IOUS of the liver was undertaken using i.v. sulphur hexafluoride micro-bubbles (SonoVue, 4.8 ml). Findings of CT, non-enhanced IOUS and CE-IOUS were compared. Changes in staging or management were noted. Additional lesions were corroborated with iron oxide magnetic resonance imaging (MRI).

Results: Among 21 patients, IOUS demonstrated additional lesions in seven (33%). Contrast altered the diagnosis of non-enhanced IOUS in four (20%) and changed the management strategy in three (14%) patients. Thus, IOUS in combination with the contrast agent altered the intraoperative or postoperative management plan in four patients.

Conclusions: In the first study of its kind, early results suggest that the ability of IOUS to detect additional metastases is improved by CE-IOUS, and that this may impact on surgical staging and management.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2889270PMC
http://dx.doi.org/10.1111/j.1477-2574.2009.00141.xDOI Listing

Publication Analysis

Top Keywords

ious liver
12
ious
10
intraoperative ultrasound
8
improves detection
8
primary colorectal
8
colorectal cancer
8
crc resection
8
ability ious
8
ious detect
8
detect additional
8

Similar Publications

Background: Colorectal cancer (CRC) frequently metastasizes to the liver, significantly worsening patient outcomes. While hepatectomy offers the best curative option for colorectal liver metastases (CRLM), margin recurrence remains a major challenge post-surgery. Intraoperative ultrasound (IOUS) aids tumor identification and margin determination, but its limitations in laparoscopic surgery necessitate additional methods.

View Article and Find Full Text PDF

Aim This study aims to determine if routine use of intraoperative Doppler ultrasonography is preventative of life-threatening vascular complications (VCs) after orthotopic liver transplantation. Methods This single-center, retrospective study reviewed all adult orthotopic liver transplants at Saint Louis University Hospital from 2015 to 2020 (N = 188). The sample population consists of men and women in the age range of 18 to 75.

View Article and Find Full Text PDF

An artificial intelligence-based recognition model of colorectal liver metastases in intraoperative ultrasonography with improved accuracy through algorithm integration.

J Hepatobiliary Pancreat Sci

November 2024

Hepato-Biliary-Pancreatic Surgery Division, Artificial Organ and Transplantation Division, Department of Surgery, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.

Article Synopsis
  • Contrast-enhanced intraoperative ultrasonography (CE-IOUS) is important for identifying colorectal liver metastases (CLM) during surgeries, but using artificial intelligence in this field has been limited.
  • The study created an automatic tumor detection model using a Mask region-based convolutional neural network (Mask R-CNN), utilizing CE-IOUS images from 121 patients, resulting in two initial models (BRM and SM) and a combined model (CM).
  • The combined model (CM) showed the best performance with a 96.5% accuracy and an AUC of 0.99, indicating that the integration of image- and algorithm-based methods significantly improves CLM detection.
View Article and Find Full Text PDF
Article Synopsis
  • The study addresses the challenges faced in liver surgeries due to the complex anatomy of liver blood vessels and the limitations of traditional 2D ultrasound imaging, which is often affected by noise and artifacts.
  • Researchers developed an AI-based "2D-weighted U-Net model" to improve intraoperative ultrasonography by enhancing the real-time detection and segmentation of key liver blood vessels.
  • The deep learning model demonstrated high accuracy in identifying various vessels, achieving Dice scores between 0.84 and 0.96, with plans to extend its use for more comprehensive liver vascular mapping in future surgeries.
View Article and Find Full Text PDF

Contrast-enhanced intraoperative ultrasound improved hepatic recurrence-free survival in initially unresectable colorectal cancer liver metastases.

Dig Liver Dis

February 2025

State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, 510060, PR China; Department of Ultrasound, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, PR China. Electronic address:

Article Synopsis
  • The study evaluated the effectiveness of Contrast-enhanced intraoperative ultrasound (CE-IOUS) using perfluorobutane microbubbles (Sonazoid) in patients with unresectable colorectal cancer liver metastases (CRLM).
  • A total of 130 patients were analyzed, comparing those who had standard intraoperative ultrasound (IOUS) versus those who also received CE-IOUS; results showed that CE-IOUS led to better outcomes in terms of hepatic recurrence-free survival (HRFS).
  • Findings indicated that CE-IOUS significantly improved prognosis, particularly for patients with certain conditions like bilobar liver metastases or fewer than three tumors, highlighting its importance post-preoperative chemotherapy.
View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!