Back to Authors

Sanyal, Rupan

https://orcid.org/0000-0002-1037-6664

Mayo Clinic

Mayo Clinic in Florida

Citations 4

Focal Nodular Hyperplasia and Focal Nodular Hyperplasia–like Lesions
LeGout, Jordan D. , Bolan, Candice W. , Bowman, Andrew W. , Caserta, Melanie P. , Chen, Frank K. , Cox, Kelly , Sanyal, Rupan , Toskich, Beau B. , Lewis, Jason T., Alexander, Lauren F. , Bowman, Andrew W , Alexander, Lauren F , Toskich, Beau , Lewis, Jason T.

RadioGraphics | June 10, 2022 | Volume: 42 | Issue: 4 | Pages: 1043-1061

10.1148/rg.210156 Get It

Serial changes in renal allograft resistive index
Chen, Frank K. , Sanyal, Rupan

Brazilian Journal of Nephrology | November 30, 2020 | Volume: 42 | Issue: 4 | Pages: 391-392

10.1590/2175-8239-jbn-2020-e003 Get It

Thoracic Imaging After Bariatric Surgery
Sonavane, Sushilkumar K. , Sanyal, Rupan , Singh, Satinder P. , Menias, Christine O. , Galgano, Samuel J, Galgano, Samuel Joseph , Bhalla, Sanjeev

Journal of Thoracic Imaging | June 15, 2017 | Volume: 32 | Issue: 5 | Pages: W45-W53

10.1097/rti.0000000000000286 Get It

Obesity and its association with long-term health problems constitutes one of the major challenges in medicine. Though diet regulation and exercise are the primary treatment strategies, surgery is the most reliable long-term solution. Although bariatric surgical complications continue to decline, prompt recognition is essential to optimize patient outcomes. Despite their relative rarity, it is important to recognize thoracic complications, as several of these can result in severe morbidity and mortality. This article describes common bariatric surgical procedures performed, their expected postoperative appearances, and intrathoracic complications.
Comparative effectiveness of tumor response assessment methods: Standard-of-care versus computer-assisted response evaluation.
Florez, Edward , Sirous, Reza , Lirette, Seth T. , Griswold, Michael , Wang, Zhen J. , Bieszczad, Jacob, Cox, Kelly , Goenka, Ajit H. , Howard-Claudio, Candace M, Sanyal, Rupan , Henagen, J. Clark, Storrs, Judd , Allen, Brian C. , Remer, Erick M. , Howard, Candace M. , Kang, HyunSeon Christine , Nandwana, Sadhna B. , Shinagare, Atul Bhanudas , Davenport, Matthew S. , Rini, Brian I. , Smith, Andrew D. , Storrs, Judd M , Lirette, Seth

Journal of Clinical Oncology | March 29, 2017 | Volume: 35 | Issue: 6_suppl | Pages: 432-432

10.1200/jco.2017.35.6_suppl.432 Get It

432 Background: In clinical trials and clinical practice, tumor response assessment with computed tomography (CT) defines critical end points in patients with metastatic disease treated with systemic agents. Methods to reduce errors and improve efficiency in tumor response assessment could improve patient care. Methods: Eleven readers from 10 different institutions independently categorized tumor response according to three different therapeutic response criteria using paired baseline and initial post-therapy CT studies from 20 randomly selected patients with metastatic renal cell carcinoma treated with sunitinib as part of a completed phase III multi-institutional study. Images were evaluated with a manual tumor response evaluation method (standard-of-care) and with computer-assisted response evaluation (CARE) that included stepwise guidance, interactive error-identification and correction methods, automated tumor metric extraction, calculations, response categorization, and data/image archival. A cross-over design, patient randomization, and two-week washout period were used to reduce recall bias. Comparative effectiveness metrics included error rate and mean patient evaluation time. Results: The standard-of-care method was on average associated with one or more errors in 30.5% (6.1/20) of patients while CARE had a 0.0% (0.0/20) error rate (p<0.001). The most common errors were related to data transfer and arithmetic calculation. In patients with errors, the median number of error types was 1 (range 1-3). Mean patient evaluation time with CARE was twice as fast as the standard-of-care method (6.4 vs. 13.1 minutes, p<0.001). Conclusions: Computer-assisted tumor response evaluation reduced errors and time of evaluation, indicating better overall effectiveness than manual tumor response evaluation methods that are the current standard-of-care.