Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where R. Kabarriti is active.

Publication


Featured researches published by R. Kabarriti.


Medical Physics | 2016

SU-F-J-223: Patterns of Failure for Laryngeal Cancer Patients Treated with Definitive IMRT: Comparing Two Different Methods for Determining the Origin of Recurrence From Follow-Up PET/CT Scans

P Brodin; R. Kabarriti; Ivan R. Vogelius; Chandan Guha; S. Kalnicki; Madhur Garg; Wolfgang A. Tomé

PURPOSEnTo determine patterns of failure in laryngeal cancer treated with definitive IMRT by comparing two different methods for identifying the recurrence epicenter on follow-up PET/CT.nnnMETHODSnWe identified 20 patients treated for laryngeal squamous cell carcinoma with definitive IMRT who had loco-regional recurrence diagnosed on PET/CT. Recurrence PET/CT scans were co-registered with the original treatment planning CT using deformable image registration with the VoxAlign deformation engine in MIM Software. Recurrence volumes were delineated on co-registered follow-up scans using a semi-automatic PETedge tool and two separate methods were used to identify the recurrence point of origin: a) Finding the point within the recurrence volume for which the maximum distance to the surface of the surrounding recurrence volume is smaller than for any other point. b) Finding the point within the recurrence volume with the maximum standardized uptake value (SUVmax), without geometric restrictions.For each method the failure pattern was determined as whether the recurrence origin fell within the original high-dose target volumes GTV70, CTV70, PTV70 (receiving 70Gy), intermediate-risk PTV59 (receiving 59.4Gy) or low-risk PTV54 (receiving 54.1Gy), in the original treatment planning CT.nnnRESULTSn23 primary/nodal recurrences from the 20 patients were analyzed. The three-dimensional distance between the two different origins was on average 10.5mm (std.dev. 10mm). Most recurrences originated in the high-dose target volumes for both methods with 13 (57%) and 11 (48%) in the GTV70 and 20 (87%) and 20 (87%) in the PTV70 for method a) and b), respectively. There was good agreement between the two methods in classifying the origin target volumes with 69% concordance for GTV70, 89% for CTV70 and 100% for PTV70.nnnCONCLUSIONnWith strong agreement in patterns of failure between two separate methods for determining recurrence origin, we conclude that most recurrences occurred within the high-dose treatment region, which influences potential risk-adaptive treatment strategies.


International Journal of Radiation Oncology Biology Physics | 2014

Postoperative Radiation Therapy for Parotid Pleomorphic Adenoma With Close or Positive Margins: Treatment Outcomes and Toxicities

S. Patel; C. Wang; W.F. Mourad; B. Dhanireddy; Rajal A. Patel; L. Patel; R. Kabarriti; R. Young; C. Concert; M. Ryniak; B. Wen; Daniel Shasha; K. Hu; L.B. Harrison


Journal of Clinical Oncology | 2018

Increased length of stay and cost of hospitalization in patients receiving inpatient radiation therapy.

Shirin Attarian; Elham Azimi-Nekoo; Justin Tang; Janaki Sharma; R. Kabarriti; Adam Binder


Journal of Clinical Oncology | 2018

NLR as a prognostic factor in solid tumors.

Yifei Zhang; Patrik Brodin; S. Kalnicki; Madhur Garg; Chandan Guha; R. Kabarriti


International Journal of Radiation Oncology Biology Physics | 2018

NLR as a Prognostic Factor in Solid Tumors and in a Transplantable Solid Tumor Mouse Model

R. Kabarriti; Y. Zhang; T. Savage; S. Baliga; P. Brodin; S. Kalnicki; Madhur Garg; Chandan Guha


International Journal of Radiation Oncology Biology Physics | 2018

Customized Text Messaging to Assist Cancer Patients with Diet, Nutrition and Activity: a Pilot Study

A.M. Asaro; Madhur Garg; H. Haynes; R. Kabarriti


International Journal of Radiation Oncology Biology Physics | 2018

The Impact of Extra-Nodal Extension on Survival in Patients with HPV+ Oropharyngeal Squamous Cell Carcinoma Treated with Adjuvant Radiation Therapy

S. Baliga; R. Kabarriti; Chandan Guha; S. Kalnicki; Madhur Garg


International Journal of Radiation Oncology Biology Physics | 2018

Identifying Oropharyngeal Head and Neck Cancer Patients Who Will Benefit Most From Proton Therapy: Implementation of a Quantitative Clinical Decision-Support Tool

P. Brodin; R. Kabarriti; M. Pankuch; C.B. Schechter; V. Gondi; Chandan Guha; S. Kalnicki; Madhur Garg; Wolfgang A. Tomé


International Journal of Radiation Oncology Biology Physics | 2018

Single Institution Results of IMRT for Locally Advanced Intact Cervical Cancer in an Urban Health Setting

A.C. Berkowitz; K.J. Mehta; R.P. Gatto; R. Kabarriti; Shankar Viswanathan; R. Yaparpalvi; Nitin Ohri; D. Kuo; S. Kalnicki


International Journal of Radiation Oncology Biology Physics | 2018

Analyzing the Impact of Primary Tumor PET Metrics and Clinical Features on Outcomes in Locally Advanced Sinonasal Malignancy

A. Rivera; R. Kabarriti; P. Brodin; S. Kalnicki; Madhur Garg

Collaboration


Dive into the R. Kabarriti's collaboration.

Top Co-Authors

Avatar

S. Kalnicki

Albert Einstein College of Medicine

View shared research outputs
Top Co-Authors

Avatar

Madhur Garg

Albert Einstein College of Medicine

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Nitin Ohri

Albert Einstein College of Medicine

View shared research outputs
Top Co-Authors

Avatar

R. Yaparpalvi

Montefiore Medical Center

View shared research outputs
Top Co-Authors

Avatar

S. Patel

Montefiore Medical Center

View shared research outputs
Top Co-Authors

Avatar

W.F. Mourad

Montefiore Medical Center

View shared research outputs
Top Co-Authors

Avatar

P. Brodin

Albert Einstein College of Medicine

View shared research outputs
Top Co-Authors

Avatar

R. Young

Montefiore Medical Center

View shared research outputs
Top Co-Authors

Avatar

S. Baliga

Montefiore Medical Center

View shared research outputs
Researchain Logo
Decentralizing Knowledge