K
Kedar N. Chintapalli
Researcher at University of Texas Health Science Center at San Antonio
Publications - 80
Citations - 3424
Kedar N. Chintapalli is an academic researcher from University of Texas Health Science Center at San Antonio. The author has contributed to research in topics: Radiofrequency ablation & Gallbladder. The author has an hindex of 28, co-authored 80 publications receiving 3181 citations. Previous affiliations of Kedar N. Chintapalli include University of Texas at San Antonio & University of Texas MD Anderson Cancer Center.
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Journal ArticleDOI
Radiofrequency thermal ablation: computer analysis of the size of the thermal injury created by overlapping ablations.
TL;DR: The computer analysis showed that the size of the composite thermal injury created by overlapping multiple thermal ablation spheres is surprisingly small relative to the number of ablations performed, emphasizing the need for a methodic tumor ablation strategy.
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Common and Uncommon Histologic Subtypes of Renal Cell Carcinoma: Imaging Spectrum with Pathologic Correlation
Srinivasa R. Prasad,Peter A. Humphrey,Jay R. Catena,Vamsi R. Narra,John R. Srigley,Arthur D. Cortez,Neal C. Dalrymple,Kedar N. Chintapalli +7 more
TL;DR: Clear cell RCC is the most common subtype and has a less favorable prognosis than do papillary RCC and chromophobe RCC, but collecting duct carcinoma and renal medullary carcinoma are associated with aggressive clinical behavior and a poor prognosis.
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Radiofrequency Thermal Ablation of Abdominal Tumors: Lessons Learned from Complications
Hyunchul Rhim,Gerald D. Dodd,Kedar N. Chintapalli,Bradford J. Wood,Damian E. Dupuy,Julia L. Hvizda,Patrick E. Sewell,S. Nahum Goldberg +7 more
TL;DR: A fundamental understanding of RF ablation principles, along with adequate operator training and experience and familiarity with both thermal ablation and the broad spectrum of postablation complications, are necessary to maximize the safety and efficacy of this procedure.
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Informatics in radiology (infoRAD): Introduction to the language of three-dimensional imaging with multidetector CT
TL;DR: A basic understanding of the time-limited nature of projection data and the need for thin-section axial reconstruction for 3D applications is necessary to use the available data effectively in clinical practice.
Journal ArticleDOI
Diveriticulitis versus colon cancer : Differentiation with helical CT findings
Kedar N. Chintapalli,Shailendra Chopra,Abraham A. Ghiatas,Christine C. Esola,Steven F. Fields,Gerald D. Dodd +5 more
TL;DR: In this article, the computed tomographic (CT) signs associated with diverticulitis or colon cancer were evaluated retrospectively by radiologists (blinded to the proved diagnosis) for the presence or absence of previously reported CT findings.