We use cookies to understand how you use our site and to improve your experience. This includes personalizing content and advertising. To learn more, click here. By continuing to use our site, you accept our use of cookies. Cookie Policy.

Features Partner Sites Information LinkXpress hp
Sign In
Advertise with Us
GLOBETECH PUBLISHING LLC

Download Mobile App




MRI Guides Surgical Decision-Making for Lateral Pelvic Lymph Node Metastases in Rectal Cancer

By MedImaging International staff writers
Posted on 28 Jul 2022
Print article
Image: LPLN metastases are an important cause of preventable local failure in rectal cancer (Photo courtesy of Pexels)
Image: LPLN metastases are an important cause of preventable local failure in rectal cancer (Photo courtesy of Pexels)

Lateral pelvic lymph node (LPLN) metastasis is an important clinical problem in rectal cancer, and there is no global consensus on how to treat it. In Western countries, locally advanced rectal cancer is typically treated with total neoadjuvant therapy (TNT) and total mesorectal excision (TME). LPLN dissection (LPLND) traditionally has been performed in Eastern countries but has not been widely adopted in the West due to concerns about potential morbidity and technical difficulty. Now, a new study has evaluated clinical and oncological outcomes following magnetic resonance imaging (MRI)-directed surgical selection for LPLND after TNT.

The retrospective single-institution study by researchers at The University of Texas MD Anderson Cancer Center (Houston, TX, USA) examined outcomes when MRI was used to facilitate appropriate selection of patients requiring additional surgery, or LPLND, following TNT. A retrospective consecutive cohort analysis was performed of rectal cancer patients with enlarged LPLN on pre-treatment MRI. Patients were categorized as LPLND or non-LPLND. The main outcomes were lateral local recurrence rate, perioperative and oncological outcomes and factors associated with decision-making for LPLND.

The study identified 158 patients with enlarged pre-treatment LPLNs who received TNT; 88 patients (56.0%) underwent LPLND, after MRI assessment by a multidisciplinary team. The MD Anderson team reported good outcomes for LPLND with major morbidity (19.3% vs. 17%) and recurrence rates (3.4% vs. 4.6%) that did not differ between the patients who did and did not receive LPLND, indicating that MRI can be used to select patients for LPLND.

Based on these findings, the researchers concluded that for rectal cancer patients with evidence of LPLN metastasis, the appropriate selection of patients for LPLND can be facilitated by a multidisciplinary MRI directed approach with no significant difference in perioperative or oncologic outcomes.

Related Links:
The University of Texas MD Anderson Cancer Center 

New
Portable X-ray Unit
AJEX140H
Ultrasound Imaging System
P12 Elite
New
Digital Radiographic System
OMNERA 300M
New
Ultrasound Table
General 3-Section Top EA Ultrasound Table

Print article

Channels

Ultrasound

view channel
Image: Artificial intelligence can improve ovarian cancer diagnoses (Photo courtesy of 123RF)

AI-Based Models Outperform Human Experts at Identifying Ovarian Cancer in Ultrasound Images

Ovarian tumors are commonly found, often by chance. In many regions, there is a significant shortage of ultrasound specialists, which has raised concerns about unnecessary medical interventions and delayed... Read more

Nuclear Medicine

view channel
Image: PSMA-PET/CT images of an 85-year-old patient with hormone-sensitive prostate cancer (Photo courtesy of Dr. Adrien Holzgreve)

Advanced Imaging Reveals Hidden Metastases in High-Risk Prostate Cancer Patients

Prostate-specific membrane antigen–portron emission tomography (PSMA-PET) imaging has become an essential tool in transforming the way prostate cancer is staged. Using small amounts of radioactive “tracers,”... Read more

General/Advanced Imaging

view channel
Image: Automated methods enable the analysis of PET/CT scans (left) to accurately predict tumor location and size (right) (Photo courtesy of Nature Machine Intelligence, 2024. DOI: 10.1038/s42256-024-00912-9)

Deep Learning Based Algorithms Improve Tumor Detection in PET/CT Scans

Imaging techniques are essential for cancer diagnosis, as accurately determining the location, size, and type of tumors is critical for selecting the appropriate treatment. The key imaging methods include... Read more

Imaging IT

view channel
Image: The new Medical Imaging Suite makes healthcare imaging data more accessible, interoperable and useful (Photo courtesy of Google Cloud)

New Google Cloud Medical Imaging Suite Makes Imaging Healthcare Data More Accessible

Medical imaging is a critical tool used to diagnose patients, and there are billions of medical images scanned globally each year. Imaging data accounts for about 90% of all healthcare data1 and, until... Read more
Copyright © 2000-2025 Globetech Media. All rights reserved.