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Featured researches published by C.C. Vu.


International Journal of Radiation Oncology Biology Physics | 2016

Variations in Medicare Reimbursement in Radiation Oncology: An Analysis of the Medicare Provider Utilization and Payment Data Set.

C.C. Vu; T. Lanni; J. Robertson

PURPOSE The purposes of this study were to summarize recently published data on Medicare reimbursement to individual radiation oncologists and to identify the causes of variation in Medicare reimbursement in radiation oncology. METHODS AND MATERIALS The Medicare Provider Utilization and Payment Data: Physician and Other Supplier Public Use File (POSPUF), which details nearly all services provided by radiation oncologists in 2012, was used for this study. The data were filtered and analyzed by physician and by billing code. Statistical analysis was performed to identify differences in reimbursements based on sex, rurality, billing of technical services, or location in a certificate of need (CON) state. RESULTS There were 4135 radiation oncologists who received a total of


Journal of The American College of Radiology | 2018

Trends in Medicare Reimbursement and Work Relative Value Unit Production in Radiation Oncology

C.C. Vu; T. Lanni; Sirisha R. Nandalur

1,499,625,803 in payments from Medicare in 2012. Seventy-five percent of radiation oncologists were male. The median reimbursement was


Journal of gastrointestinal oncology | 2018

How many lymph nodes are enough?—defining the extent of lymph node dissection in stage I–III gastric cancer using the National Cancer Database

Karna Sura; Hong Ye; C.C. Vu; John M. Robertson; Peyman Kabolizadeh

146,453. The code with the highest total reimbursement was 77418 (radiation treatment delivery intensity modulated radiation therapy [IMRT]). The most commonly billed evaluation and management (E/M) code for new visits was 99205 (49%). The most commonly billed E/M code for established visits was 99213 (54%). Forty percent of providers billed none of their new office visits using 99205 (the highest E/M billing code), whereas 34% of providers billed all of their new office visits using 99205. For the 1510 radiation oncologists (37%) who billed technical services, median Medicare reimbursement was


International Journal of Radiation Oncology Biology Physics | 2018

Automatic Segmentation Using Convolutional Neural Networks in Prostate Cancer

C.C. Vu; L. Zamdborg; Z.A. Siddiqui; G.S. Gustafson; D.J. Krauss; T.M. Guerrero

606,008, compared with


International Journal of Radiation Oncology Biology Physics | 2018

Historical Trends of Implantable Accelerated Partial Breast Irradiation Usage after Breast Conserving Surgery for Stage I Breast Cancer: A SEER Analysis

Z.A. Siddiqui; C.C. Vu; A. Thompson; J.T. Dilworth; Peter Y. Chen

93,921 for all other radiation oncologists (P<.001). On multivariate analysis, technical services billing (P<.001), male sex (P<.001), and rural location (P=.007) were predictive of higher Medicare reimbursement. CONCLUSIONS The billing of technical services, with their high capital and labor overhead requirements, limits any comparison in reimbursement between individual radiation oncologists or between radiation oncologists and other specialists. Male sex and rural practice location are independent predictors of higher total Medicare reimbursements.


Journal of Clinical Oncology | 2017

How many lymph nodes is enough? Defining the optimal lymph node dissection in stage I-III gastric cancer using the National Cancer Database.

Karna Sura; H. Ye; C.C. Vu; J. Robertson; Peyman Kabolizadeh

PURPOSE Medicare payments to individual physicians are released annually by the CMS. The purpose of this study is to analyze trends in Medicare reimbursement and work relative value unit (wRVU) production to radiation oncologists. MATERIALS AND METHODS The Medicare Physician Supplier and Other Provider Public Use File and the CMS Physician Fee Schedule Relative Value Files (to calculate wRVUs) for the calendar years 2012 to 2015 were used in this analysis. Medicare reimbursement was aggregated for each calendar year. Using the CMS Physician Fee Schedule Relative Value Files, the number of Medicare wRVUs was calculated for each radiation oncologist. RESULTS In 2015, 4,323 radiation oncologists produced 12,895,298 wRVUs compared with 11,352,286 wRVUs produced in 2012. These datasets include only Medicare reimbursements and do not include wRVUs from private insurance or other payers. In 2015, radiation oncologists produced a median of 2,486 wRVUs from Medicare (range 3 to 24,349). Billing to Healthcare Common Procedure Coding System Code 77427 (radiation treatment management, five treatments), a proxy for total radiation treatments, fell from 1,111,670 in 2012 to 1,039,403 in 2015, a decline of 7%. CONCLUSION The total number of wRVUs produced by radiation oncologists has risen by 14% from 2012 to 2015. However, the number of external beam radiation fractions has declined by approximately 7% over this same period, likely due to a trend toward hypofractionated courses of treatment and use of special treatment modalities such as proton beam therapy or stereotactic body radiation therapy.


International Journal of Radiation Oncology Biology Physics | 2017

Poster ViewingTrends in Medicare Work Relative Value Unit (wRVU) Production in Radiation Oncology

C.C. Vu; T. Lanni; S.R. Nandalur


International Journal of Radiation Oncology Biology Physics | 2017

Cost-effectiveness of prostate boost with high-dose-rate brachytherapy versus intensity-modulated radiation therapy in the treatment of intermediate-high risk prostate cancer

C.C. Vu; K.G. Blas; T. Lanni; Gary S. Gustafson; D.J. Krauss


International Journal of Radiation Oncology Biology Physics | 2017

Poster ViewingCost-Effectiveness of Single-Fraction High-Dose Rate Brachytherapy versus Intensity Modulated Radiation Therapy for the Treatment of Low-Intermediate Risk Prostate Cancer

C.C. Vu; K. Sura; T. Lanni; G.S. Gustafson; D.J. Krauss


International Journal of Radiation Oncology Biology Physics | 2016

Regional Nodal Irradiation in Breast Cancer Patients With Clinical N1 and Pathologic N0 Disease After Neoadjuvant Chemotherapy: An Analysis of the National Cancer Data Base

C.C. Vu; K. Sura; Peter Y. Chen; J.T. Dilworth

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