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




Stereotactic Body Radiotherapy Provides Sustained Local Control for Inoperable, Early Stage Lung Cancer Patients

By MedImaging International staff writers
Posted on 16 Nov 2014
Print article
A 10-year span of research has revealed excellent, sustained local tumor control findings with minimal side effects for medically inoperable, early stage lung cancer patients who received high-dose rate stereotactic body radiotherapy (SBRT).

The findings were derived from an analysis of data from an institutional patient registry on SBRT, and indicated excellent long-term, local control, 79% of tumors, for medically inoperable, early stage lung cancer patients treated with SBRT from 2003 to 2012, according to research presented at the 2014 Chicago (IL, USA) Multidisciplinary Symposium in Thoracic Oncology, held October 30-November 1, 2014. The symposium was sponsored by the American Society of Clinical Oncology (ASCO), the American Society for Radiation Oncology (ASTRO), the International Association for the Study of Lung Cancer (IASLC), and The University of Chicago Medicine.

The 300 patients in the study had 340 lesions and were treated from October 1, 2003 through December 31, 2012, at the Cleveland Clinic, one of the early adopters of SBRT technology for lung cancer patients in the United States. Patients in the study had a median age of 74 years (range = 37–97 years), a median Karnofsky performance status (KPS) of 80 (range = 40–100), and were not suitable for surgery because of associated medical disorders, of which chronic obstructive pulmonary disease (COPD) was the most common (62%). Median follow-up was 17.4 months (range = 0.3–112.2 months), with 46.7% (140) patients alive at the time of follow-up. Median tumor diameter was 2.4 cm (range 0.1–10 cm), and 36.3% of tumors (123) had either no biopsy or a non-diagnostic biopsy. Fifteen percent of patients (45) received two or more SBRT treatments.

SBRT for lung cancer requires accurate and tailored mapping of each individual patient’s anatomy and a method of accounting for breathing motion to optimally target tumors while sparing as much of the neighboring healthy tissue as possible. All patients in the study were equally treated using a vacuum-bag immobilization system and abdominal compression to limit breathing effects. Then, CT images were acquired to record tumor motion when at rest, full inhalation and full exhalation. These three images merged together generated the internal target volume (ITV) of the tumors, essentially representing a virtual map of tumor motion. Radiation doses were calculated to deliver ≥ 95% of the planning target volume (PTV), defined as the ITV + 5 mm “safety” margin. All patients received 50 Gy in five fractions delivered during one week by seven to nine highly targeted radiation beams.

Early and late toxicity, as defined by the common terminology criteria for adverse events (CTCAE) version 3.0 was measured for all patients. The overall rate of any toxicity was 13.0% (45), with most patients having minimal toxicities (grade 2 or less) and no grade 4 or 5 toxicity events were recorded. The most typical incidents were chest wall toxicity, 7.7%, and pneumonitis (inflammation of the lung tissue), 4.1%. The toxicity rate for the 115 lesions classified as “central” tumors, according to the RTOG 0813 definition of “within or touching the zone of the proximal bronchial tree or adjacent to mediastinal or pericardial pleura,” vs. non-central tumors (225 lesions) was 15.5% (18 lesions) vs. 11.7% (27 lesions).

At five years post-treatment, local control was 79.0% vs. 75.4% for patients with central tumors vs non-central tumors, respectively. The distant metastases-free and disease failure-free rates were 49.5% vs. 56.7%, and 37.3% vs 34.3%, respectively. Overall survival was 18.3% vs. 20.3%, respectively. The failure rates of the central vs. non-central tumors utilizing all parameters had no statistically significant differences. Rates of local, lobar (within a whole lobe of the lung) and regional node failure for lesions were 11.2%, 4.1%, and 13.5%, respectively.

“We have been privileged in demonstrating that lung SBRT can now be considered the standard of care for medically inoperable patients with early stage lung cancer,” said Gregory M.M. Videtic, MD, lead study author, and a radiation oncologist at the Cleveland Clinic Foundation and associate professor of radiation oncology at the Cleveland Clinic Lerner College of Medicine, Case Western Reserve University (Cleveland, OH, USA). “Since our results indicate no unusual long term side effects, we are hoping to extend the potential uses of this therapy to more-fit, operable lung cancer patients whose cancer has not spread outside of the lung and to collaborate with other institutions on conducting such a clinical trial. SBRT could provide a more minimally invasive procedure than surgery, with fewer side effects and improved patient outcomes.”

Related Links:

Cleveland Clinic Lerner College of Medicine, Case Western Reserve University


Gold Member
Solid State Kv/Dose Multi-Sensor
AGMS-DM+
Portable Radiology System
DRAGON ELITE & CLASSIC
New
Color Doppler Ultrasound System
KC20
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.