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




Proton Therapy Helps Eradicate Recurrent Lung Cancer

By MedImaging International staff writers
Posted on 07 Apr 2017
Print article
A new study reports that using intensity-modulated proton therapy (IMPT) for recurrent lung and other thoracic tumors could offer a new treatment option for patients who previously had none.

The study, by researchers at the University of Texas MD Anderson Cancer Center, retrospectively examined the records of 27 patients who received reirradiation for thoracic tumors using the IMPT technique through prospective clinical trials between 2011 and 2016; 81% had non-small cell lung cancer (NSCLC), and all patients had previously received curative thoracic radiation therapy (RT). Median time to reirradiation was 29.5 months, with a median follow-up for all patients of 11.2 months.

The results showed that median overall survival was 18 months following IMPT reirradiation. At one year, the majority of patients were free from local and regional relapse, and over half of the patients free from disease progression. Patients who received IMPT re-irradiation doses higher than population median were twice as likely to be free from local failure, and nearly four times as likely to be free from local-regional failure. Reirradiation with IMPT was well tolerated, with only two patients experiencing long-term lung toxicity. The study was presented at the 2017 Multidisciplinary Thoracic Cancers Symposium, held during March 2017 in San Diego (CA, USA).

“Treating patients who have already received a prior course of thoracic radiation is a common clinical scenario, and it is particularly challenging to subsequently provide strong enough radiation doses to eliminate the new tumor without causing significant harm to normal tissues,” said lead author Jennifer Ho, MD. “Our study is the first to show that IMPT can be safe and effective for these patients, and that it offers these patients a chance for lasting cancer control without adding significant toxicity.”

“We knew that IMPT would allow us to generate much more precise radiation treatment plans that spared normal tissue, but we weren’t sure if this would translate into excellent clinical outcomes,” said senior author professor of radiation oncology Joe Chang, MD. “Our findings demonstrate that the use of IMPT resulted in better local control and survival, with very minimal toxicity compared to other radiation types, suggesting that IMPT is the optimal treatment modality for re-treatment of thoracic cancers.”

Proton therapy is a precise form of RT that uses charged particles instead of x-rays. It can be a more effective form of treatment than conventional radiotherapy as it is more precise, with minimal damage to surrounding tissue. Evidence is growing that protons can be effective in treating a number of cancers, in particular in children and young people with brain tumors, for whom it appears to produce fewer side effects such as secondary cancers, growth deformity, hearing loss, and learning difficulties.

Gold Member
Solid State Kv/Dose Multi-Sensor
AGMS-DM+
New
Ultrasound System
Acclarix AX9
New
Ceiling-Mounted Digital Radiography System
Radiography 5000 C
Silver Member
Mobile X-Ray Barrier
Lead Acrylic Mobile X-Ray Barriers

Print article
Radcal

Channels

MRI

view channel
Image: PET/MRI can accurately classify prostate cancer patients (Photo courtesy of 123RF)

PET/MRI Improves Diagnostic Accuracy for Prostate Cancer Patients

The Prostate Imaging Reporting and Data System (PI-RADS) is a five-point scale to assess potential prostate cancer in MR images. PI-RADS category 3 which offers an unclear suggestion of clinically significant... 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.