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
Sign In
Advertise with Us
GLOBETECH PUBLISHING LLC

Download Mobile App




Remote Tracking Reduces Dehydration Risk in RT Patients

By MedImaging International staff writers
Posted on 07 Jun 2018
Print article
Image: A diagram of various stakeholder roles in the CYCORE system (Photo courtesy of MD Anderson).
Image: A diagram of various stakeholder roles in the CYCORE system (Photo courtesy of MD Anderson).
A new study suggests that mobile sensor technology can help identify early dehydration risk in head and neck cancer patients undergoing radiation therapy (RT) treatment.

Researchers at the University of California, San Diego (UCSD, USA) and the University of Texas MD Anderson Cancer Center (MD Anderson; Houston, USA) conducted a prospective randomized trial involving 357 patients with head and neck cancer undergoing RT in order to evaluate the self-monitoring CYberinfrastructure for COmparative effectiveness Research (CYCORE) system, which utilizes sensor and mobile technology to remotely assess daily weight, blood pressure (BP), pulse, and patient-reported outcomes.

Patients were randomly assigned to usual care or to CYCORE self-monitoring during RT, and both groups had standard weekly visits with their oncologists. In addition, all patients completed the 28-item MD Anderson Symptom Inventory (MDASI) at baseline, at completion of 6-7 weeks of RT, and at 6-8 weeks post-RT completion. The MDASI includes general cancer symptoms, such as pain, fatigue, nausea, and those more specific to head and neck cancer, such as difficulty swallowing, and skin pain, burning, and rash. Symptoms did not differ between the two groups at the beginning of treatment.

The results revealed that when RT was completed, patients in the CYCORE cohort reported significantly lower scores than did those in the usual care group for both general MDASI symptoms and specific head and neck cancer symptoms. The mean scores on symptom interference in daily life were similar for both study groups across all time periods. The study was presented at the annual meeting of the American Society of Clinical Oncology (ASCO), held during June 2018 in Chicago (IL, USA).

“The data are collected on a range of tools, including tablets with proprietary WiFi. It uses an in-home wide area network (WAN) hub/router that transmits sensor readouts, and a mobile app can relay symptom data through a back-end cyber-infrastructure to secure firewall-protected computers,” said lead author Professor Susan Peterson, PhD, of MD Anderson. “The daily report from the remote tracking system allowed physicians caring for these patients to detect concerning symptoms early and respond quickly to alleviate them.”

When undergoing cancer treatment, side effects such as vomiting or diarrhea can lead to dehydration. Infections, high fever, bleeding, or merely not drinking enough fluids also can lead to dehydration. Signs and symptoms of dehydration include headache, dizziness or lightheadedness, sleepiness, decrease in urination, dark yellow- or amber-colored urine, decreased skin elasticity, dry mouth and mucous membranes, and low blood pressure.

Related Links:
University of California, San Diego
University of Texas MD Anderson Cancer Center
Gold Member
Solid State Kv/Dose Multi-Sensor
AGMS-DM+
New
Wireless Handheld Ultrasound System
TE Air
Ultrasound Needle Guide
Ultra-Pro II
New
Ultrasound System
Voluson Signature 18

Print article
Radcal

Channels

MRI

view channel
Image: The emerging role of MRI alongside PSA testing is redefining prostate cancer diagnostics (Photo courtesy of 123RF)

Combining MRI with PSA Testing Improves Clinical Outcomes for Prostate Cancer Patients

Prostate cancer is a leading health concern globally, consistently being one of the most common types of cancer among men and a major cause of cancer-related deaths. In the United States, it is the most... Read more

General/Advanced Imaging

view channel
Image: The Tyche machine-learning model could help capture crucial information. (Photo courtesy of 123RF)

New AI Method Captures Uncertainty in Medical Images

In the field of biomedicine, segmentation is the process of annotating pixels from an important structure in medical images, such as organs or cells. Artificial Intelligence (AI) models are utilized to... 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 © 2000-2024 Globetech Media. All rights reserved.