SU-E-J-40: Lung Lesion Tracking Using Fixed-Spaced Non-Migrating Fiducial Markers in Robotic Radiosurgery

2012 ◽  
Vol 39 (6Part6) ◽  
pp. 3661-3661
Author(s):  
J Gersh ◽  
K Reynolds ◽  
M DeWeese
Keyword(s):  
Lung Lesion ◽  
Fiducial Markers ◽  
Robotic Radiosurgery

scholarly journals Risks and Benefits of Fiducial Marker Placement in Tumor Lesions for Robotic Radiosurgery: Technical Outcomes of 357 Implantations

Cancers ◽  
2021 ◽  
Vol 13 (19) ◽  
pp. 4838
Author(s):  
Melina Kord ◽  
Anne Kluge ◽  
Markus Kufeld ◽  
Goda Kalinauskaite ◽  
Franziska Loebel ◽  
...  
Keyword(s):  
Respiratory Motion ◽  
Fiducial Marker ◽  
Fiducial Markers ◽  
Ct Guided ◽  
Lung Lobe ◽  
Risks And Benefits ◽  
Clinical Complications ◽  
Robotic Radiosurgery ◽  
Lower Lung ◽  
Motion Amplitude

Fiducial markers (FM) inserted into tumors increase the precision of irradiation during robotic radiosurgery (RRS). This retrospective study evaluated the clinical complications, marker migration, and motion amplitude of FM implantations by analyzing 288 cancer patients (58% men; 63.1 ± 13.0 years) who underwent 357 FM implantations prior to RRS with CyberKnife, between 2011 and 2019. Complications were classified according to the Society of Interventional Radiology (SIR) guidelines. The radial motion amplitude was calculated for tumors that moved with respiration. A total of 725 gold FM was inserted. SIR-rated complications occurred in 17.9% of all procedures. Most complications (32.0%, 62/194 implantations) were observed in Synchrony®-tracked lesions affected by respiratory motion, particularly in pulmonary lesions (46.9% 52/111 implantations). Concurrent biopsy sampling was associated with a higher complication rate (p = 0.001). FM migration occurred in 3.6% after CT-guided and clinical FM implantations. The largest motion amplitudes were observed in hepatic (20.5 ± 11.0 mm) and lower lung lobe (15.4 ± 10.5 mm) lesions. This study increases the awareness of the risks of FM placement, especially in thoracic lesions affected by respiratory motion. Considering the maximum motion amplitude, FM placement remains essential in hepatic and lower lung lobe lesions located >100.0 mm from the spine.

scholarly journals The CyberKnife® Robotic Radiosurgery System in 2010

2010 ◽  
Vol 9 (5) ◽  
pp. 433-452 ◽  
Author(s):  
W. Kilby ◽  
J. R. Dooley ◽  
G. Kuduvalli ◽  
S. Sayeh ◽  
C. R. Maurer
Keyword(s):  
Robotic Radiosurgery

scholarly journals Robotic Radiosurgery for Persistent Postoperative Acromegaly in Patients with Cavernous Sinus-Invading Pituitary Adenomas—A Multicenter Experience

Cancers ◽  
2021 ◽  
Vol 13 (3) ◽  
pp. 537
Author(s):  
Felix Ehret ◽  
Markus Kufeld ◽  
Christoph Fürweger ◽  
Alfred Haidenberger ◽  
Paul Windisch ◽  
...  
Keyword(s):  
Disease Control ◽  
Effective Treatment ◽  
Cavernous Sinus ◽  
Treatment Options ◽  
Cavernous Sinus Invasion ◽  
Robotic Radiosurgery ◽  
Patient Morbidity ◽  
Biochemical Remission ◽  
Patients Experience

Background: The rates of incomplete surgical resection for pituitary macroadenomas with cavernous sinus invasion are high. In growth hormone-producing adenomas, there is a considerable risk for persistent acromegaly. Thus, effective treatment options are needed to limit patient morbidity and mortality. This multicenter study assesses the efficacy and safety of robotic radiosurgery (RRS) for patients with cavernous sinus-invading adenomas with persistent acromegaly. Methods: Patients who underwent RRS with CyberKnife for postoperative acromegaly were eligible. Results: Fifty patients were included. At a median follow-up of 57 months, the local control was 100%. The pretreatment insulin-like growth factor 1 (IGF-1) levels and indexes were 381 ng/mL and 1.49, respectively. The median dose and prescription isodose were 18 Gy and 70%, respectively. Six months after RRS, and at the last follow-up, the IGF-1 levels and indexes were 277 ng/mL and 1.14, as well as 196 ng/mL and 0.83, respectively (p = 0.0001 and p = 0.0002). The IGF-1 index was a predictor for biochemical remission (p = 0.04). Nine patients achieved biochemical remission and 24 patients showed biochemical disease control. Three patients developed a new hypopituitarism. Conclusions: RRS is an effective treatment for this challenging patient population. IGF-1 levels are decreasing after treatment and most patients experience biochemical disease control or remission.

Operational analysis: A method for observing and analyzing digital media operations

2021 ◽  
pp. 146144482199864
Author(s):  
Kathrin Friedrich ◽  
A S Aurora Hoel
Keyword(s):  
Digital Media ◽  
Task Orientation ◽  
Operational Analysis ◽  
Media Technologies ◽  
Robotic Radiosurgery ◽  
Middle Range ◽  
Operational Models ◽  
Media Research ◽  
Media Applications ◽  
Tracking Devices

Interventional digital media applications such as robotic surgery, remote-controlled vehicles or wearable tracking devices pose a challenge to media research methodologically as well as conceptually. How do we go about analyzing operational media, where human and non-human agencies intertwine in seemingly inscrutable ways? This article introduces the method of o perational analysis to systematically observe and critically analyze such situated, interventional and multilayered entanglements. Against the background of ongoing efforts to develop operational models for understanding digital media, the method of operational analysis conceptually ascribes to media technologies a real efficacy by approaching them as adaptive mediators. As an operational middle-range approach, it allows to integrate theoretical discussions with considerations of the situatedness, directedness, and task-orientation of operational media. The article presents an analytical toolbox for observing and analyzing digital media operations while simultaneously testing it on a particular application in robotic radiosurgery.

scholarly journals Multicriterial CNN based beam generation for robotic radiosurgery of the prostate

2020 ◽  
Vol 6 (1) ◽  
Author(s):  
Stefan Gerlach ◽  
Christoph Fürweger ◽  
Theresa Hofmann ◽  
Alexander Schlaefer
Keyword(s):  
Deep Learning ◽  
Treatment Planning ◽  
Treatment Plan ◽  
Plan Quality ◽  
New Approach ◽  
Beam Generation ◽  
Radiological Features ◽  
Improve Treatment ◽  
Robotic Radiosurgery ◽  
Treatment Plans

AbstractAlthough robotic radiosurgery offers a flexible arrangement of treatment beams, generating treatment plans is computationally challenging and a time consuming process for the planner. Furthermore, different clinical goals have to be considered during planning and generally different sets of beams correspond to different clinical goals. Typically, candidate beams sampled from a randomized heuristic form the basis for treatment planning. We propose a new approach to generate candidate beams based on deep learning using radiological features as well as the desired constraints. We demonstrate that candidate beams generated for specific clinical goals can improve treatment plan quality. Furthermore, we compare two approaches to include information about constraints in the prediction. Our results show that CNN generated beams can improve treatment plan quality for different clinical goals, increasing coverage from 91.2 to 96.8% for 3,000 candidate beams on average. When including the clinical goal in the training, coverage is improved by 1.1% points.

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