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Featured researches published by Ott Le.


Abdominal Imaging | 2015

Multimodality imaging of common and uncommon peritoneal diseases: a review for radiologists.

Rafael A. Vicens; Madhavi Patnana; Ott Le; Priya Bhosale; Tara Sagebiel; Christine O. Menias; Aparna Balachandran

Peritoneal disease can be caused by a wide spectrum of pathologies. While peritoneal disease is usually caused by primary or secondary malignancies, benign diseases can occur and mimic malignancies. This article begins with an overview of peritoneal embryology and anatomy followed by a detailed description of the multimodality imaging appearance of peritoneal diseases. Common diseases include peritoneal carcinomatosis, pseudomyxoma peritonei, lymphomatosis, sarcomatosis, and tuberculous peritonitis. The uncommon diseases which cause peritoneal disease include desmoid fibromatosis, desmoplastic small round cell tumor, malignant mesothelioma, well-differentiated mesothelioma, multicystic mesothelioma, papillary serous carcinoma, leiomyomatosis, extramedullary hematopoiesis, inflammatory pseudotumor and amyloidosis. This manuscript will help the radiologist become familiar with the different peritoneal spaces, pathways of spread, multimodality imaging appearance and differential diagnoses of peritoneal diseases in order to report the essential information for surgeons and oncologists to plan treatment.


Journal of Computer Assisted Tomography | 2015

Quantitative and Qualitative Comparison of Single-Source Dual-Energy Computed Tomography and 120-kVp Computed Tomography for the Assessment of Pancreatic Ductal Adenocarcinoma.

Priya Bhosale; Ott Le; Aprana Balachandran; Patricia S. Fox; Eric Paulson; Eric P. Tamm

Purpose The aim of this study was to compare contrast-to-noise ratio (CNR) and signal-to-noise ratio (SNR) between pancreatic-phase dual-energy computed tomography (DECT) and 120-kVp CT for pancreatic ductal adenocarcinoma (PDA). Materials and Methods Seventy-eight patients underwent multiphasic pancreatic imaging protocols for PDA (40, DECT; 38, 120-kVp CT [control]). Using pancreatic phase, CNR and SNR for PDA were obtained for DECT at monochromatic energies 50 through 80 keV, iodine material density images, and 120-kVp images. Using a 5-point scale (1, excellent; 5, markedly limited), images were qualitatively assessed by 2 radiologists in consensus for PDA detection, extension, vascular involvement, and noise. Wilcoxon signed rank and 2-sample tests were used to compare the qualitative measures, CNR and SNR, for DECT and 120-kVp images. Bonferroni correction was applied. Results Iodine material density image had significantly higher CNR and SNR for PDA than any monochromatic energy images (P < 0.0001) and the 120-kVp images. Qualitatively, 70-keV images were rated highest in the categories of tumor extension and vascular invasion and were similar to 120-kVp images. Conclusions Our results indicate that DECT improves PDA lesion conspicuity compared with routine 120-kVp CT, which may allow for better detection of PDA.


Abdominal Radiology | 2018

Imaging mimics of pancreatic ductal adenocarcinoma

Namita Gandhi; Myra K. Feldman; Ott Le; Gareth Morris-Stiff

Pancreatic ductal adenocarcinoma is the most common primary malignancy of the pancreas. The classic imaging features are a hypovascular mass with proximal ductal dilatation. Different pancreatic pathologies can mimic the imaging appearance of carcinoma including other tumors involving the pancreas (pancreatic neuroendocrine tumors, lymphoma, metastasis, and rare tumors like pancreatic acinar cell carcinoma and solid pseudopapillary tumors), inflammatory processes (chronic pancreatitis and autoimmune pancreatitis), and anatomic variants (annular pancreas). Differentiation between these entities can sometimes be challenging due to overlap of imaging features. The purpose of this article is to describe the common entities that can mimic pancreatic cancer on imaging with illustrative examples and to suggest features that can help in differentiation of these entities.


Cancer | 2018

Imaging-based biomarkers: Changes in the tumor interface of pancreatic ductal adenocarcinoma on computed tomography scans indicate response to cytotoxic therapy

Ahmed M. Amer; Mohamed Zaid; Baishali Chaudhury; Dalia Elganainy; Yeonju Lee; Christopher Wilke; Jordan M. Cloyd; Huamin Wang; Anirban Maitra; Robert A. Wolff; Gauri R. Varadhachary; Michael J. Overman; J. E. Lee; Jason B. Fleming; Ching Wei Tzeng; Matthew H. Katz; Emma B. Holliday; Sunil Krishnan; Bruce D. Minsky; Joseph M. Herman; Cullen M. Taniguchi; Prajnan Das; Christopher H. Crane; Ott Le; Priya Bhosale; Eric P. Tamm; Eugene J. Koay

The assessment of pancreatic ductal adenocarcinoma (PDAC) response to therapy remains challenging. The objective of this study was to investigate whether changes in the tumor/parenchyma interface are associated with response.


Journal of Ultrasound in Medicine | 2017

Feasibility of Contrast-Enhanced Intraoperative Ultrasound for Detection and Characterization of Renal Mass Undergoing Open Partial Nephrectomy

Ott Le; Christopher G. Wood; Raghunandan Vikram; Madhavi Patnana; Priya Bhosale; Roland L. Bassett; Deepak G. Bedi

To determine the feasibility of obtaining intraoperative contrast‐enhanced ultrasound (CEUS) imaging in patients undergoing open partial nephrectomy for renal cancer. We hypothesize that the study was feasible and the addition of CEUS would improve lesion identification and characterization.


Current Radiology Reports | 2015

CT Liver Imaging: What is New?

Nicolaus Wagner-Bartak; Aran Toshav; Eric P. Tamm; Ott Le; Sheela Agarwal; Chaan Ng; Aliya Qayyum

This review article aims to bring the reader up to date on advances in liver CT imaging, with an emphasis on the literature from the past year. Recent studies and developments in hepatic imaging using dual-energy CT, perfusion CT, low-tube-voltage imaging, and iterative reconstruction techniques are discussed.


Current Radiology Reports | 2015

An Update of Clinical CT Imaging of Pancreatic Neoplasm: Tips, Tricks, and Pitfalls

Ott Le; Eric P. Tamm; Nicolaus Wagner-Bartak; Priya Bhosale; Madhavi Patnana; Raghu Vikram; Aliya Qayyum

The progressive advancement in computed tomography (CT) technology has enabled improved diagnosis and management of pancreatic tumors. Some of these improvements are seen in multidetector CT, dual-energy CT, perfusion CT, and post-processing techniques. Despite the technological improvement, prognosis for tumors such as pancreatic adenocarcinomas remains dismal. This review article will discuss some of the tips, tricks, and pitfalls for optimal utilization of these imaging techniques to characterize, diagnosis, and manage some of the more common pancreatic tumors such as adenocarcinomas, cystic tumors, and neuroendocrine tumors.


Abdominal Radiology | 2017

“How to” incorporate dual-energy imaging into a high volume abdominal imaging practice

Eric P. Tamm; Ott Le; Xinming Liu; Rick R. Layman; Dianna D. Cody; Priya Bhosale


Abdominal Radiology | 2018

Multi-institutional survey on imaging practice patterns in pancreatic ductal adenocarcinoma

Avinash Kambadakone; Atif Zaheer; Ott Le; Priya Bhosale; Jeffrey Meier; Alexander R. Guimaraes; Zarine K. Shah; David M. Hough; Lorenzo Mannelli; Erik V. Soloff; Arnold Friedman; Eric P. Tamm


Abdominal Radiology | 2017

Utility of CT oral contrast administration in the emergency department of a quaternary oncology hospital: diagnostic implications, turnaround times, and assessment of ED physician ordering

Corey T. Jensen; Katherine J. Blair; Ott Le; Jia Sun; Wei Wei; Brinda Rao Korivi; Ajaykumar C. Morani; Nicolaus Wagner-Bartak

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Eric P. Tamm

University of Texas MD Anderson Cancer Center

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Priya Bhosale

University of Texas MD Anderson Cancer Center

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Nicolaus Wagner-Bartak

University of Texas MD Anderson Cancer Center

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Ahmed M. Amer

University of Texas MD Anderson Cancer Center

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Cullen M. Taniguchi

University of Texas MD Anderson Cancer Center

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Gauri R. Varadhachary

University of Texas MD Anderson Cancer Center

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Jason B. Fleming

University of Texas MD Anderson Cancer Center

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Joseph M. Herman

University of Texas MD Anderson Cancer Center

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Madhavi Patnana

University of Texas MD Anderson Cancer Center

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Matthew H. Katz

University of Texas MD Anderson Cancer Center

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