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Pancreatic Neoplasms: HELP
Articles by Ashley L. Faulx
Based on 7 articles published since 2008
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Between 2008 and 2019, A. Faulx wrote the following 7 articles about Pancreatic Neoplasms.
 
+ Citations + Abstracts
1 Guideline The role of endoscopy in the diagnosis and treatment of cystic pancreatic neoplasms. 2016

Anonymous6580868 / Muthusamy, V Raman / Chandrasekhara, Vinay / Acosta, Ruben D / Bruining, David H / Chathadi, Krishnavel V / Eloubeidi, Mohamad A / Faulx, Ashley L / Fonkalsrud, Lisa / Gurudu, Suryakanth R / Khashab, Mouen A / Kothari, Shivangi / Lightdale, Jenifer R / Pasha, Shabana F / Saltzman, John R / Shaukat, Aasma / Wang, Amy / Yang, Julie / Cash, Brooks D / DeWitt, John M. · ·Gastrointest Endosc · Pubmed #27206409.

ABSTRACT: -- No abstract --

2 Review Endoscopic Evaluation in the Workup of Pancreatic Cancer. 2016

Singh, Ajaypal / Faulx, Ashley L. ·Division of Gastroenterology and Hepatology, Case Western Reserve University, Wearn 247, 11100 Euclid Avenue, Cleveland, OH 44106, USA. Electronic address: ajay749@gmail.com. · Division of Gastroenterology and Hepatology, Case Western Reserve University, Wearn 247, 11100 Euclid Avenue, Cleveland, OH 44106, USA. ·Surg Clin North Am · Pubmed #27865276.

ABSTRACT: Early diagnosis and accurate staging of pancreatic cancer is very important to plan optimal management strategy. Endoscopy plays an important role in the diagnosis and management of pancreatic cancer. Endoscopic ultrasound imaging (EUS) is the most sensitive modality for diagnosis, especially for small pancreatic tumors; it also allows tissue acquisition for histological diagnosis. Computed tomography scanning and EUS play complementary roles in staging and are comparable in determining resectability. Endoscopic retrograde cholangiopancreatography allows tissue sampling but is limited to palliative biliary drainage in most cases. In this article, we review the role of endoscopy in the diagnosis and management of pancreatic adenocarcinoma, with special emphasis on the use of endoscopic ultrasound and endoscopic retrograde cholangiopancreatography (ERCP).

3 Clinical Trial In vivo characterization of pancreatic and lymph node tissue by using EUS spectrum analysis: a validation study. 2010

Kumon, Ronald E / Pollack, Michael J / Faulx, Ashley L / Olowe, Kayode / Farooq, Farees T / Chen, Victor K / Zhou, Yun / Wong, Richard C K / Isenberg, Gerard A / Sivak, Michael V / Chak, Amitabh / Deng, Cheri X. ·Department of Biomedical Engineering, University of Michigan, Ann Arbor, Michigan 48109-2099, USA. ·Gastrointest Endosc · Pubmed #19922913.

ABSTRACT: BACKGROUND: Quantitative spectral analysis of the radiofrequency (RF) signals that underlie grayscale EUS images can be used to provide additional, objective information about tissue state. OBJECTIVE: Our purpose was to validate RF spectral analysis as a method to distinguish between (1) benign and malignant lymph nodes and (2) normal pancreas, chronic pancreatitis, and pancreatic cancer. DESIGN AND SETTING: A prospective validation study of eligible patients was conducted to compare with pilot study RF data. PATIENTS: Forty-three patients underwent EUS of the esophagus, stomach, pancreas, and surrounding intra-abdominal and mediastinal lymph nodes (19 from a previous pilot study and 24 additional patients). MAIN OUTCOME MEASUREMENTS: Midband fit, slope, intercept, and correlation coefficient from a linear regression of the calibrated RF power spectra were determined. RESULTS: Discriminant analysis of mean pilot-study parameters was then performed to classify validation-study parameters. For benign versus malignant lymph nodes, midband fit and intercept (both with t test P < .058) provided classification with 67% accuracy and area under the receiver operating curve (AUC) of 0.86. For diseased versus normal pancreas, midband fit and correlation coefficient (both with analysis of variance P < .001) provided 93% accuracy and an AUC of 0.98. For pancreatic cancer versus chronic pancreatitis, the same parameters provided 77% accuracy and an AUC of 0.89. Results improved further when classification was performed with all data. LIMITATIONS: Moderate sample size and spatial averaging inherent to the technique. CONCLUSIONS: This study confirms that mean spectral parameters provide a noninvasive method to quantitatively discriminate benign and malignant lymph nodes as well as normal and diseased pancreas.

4 Article Lymph node characterization in vivo using endoscopic ultrasound spectrum analysis with electronic array echo endoscopes. 2012

Kumon, R E / Repaka, A / Atkinson, M / Faulx, A L / Wong, R C K / Isenberg, G A / Hsiao, Y-S / Gudur, M S R / Deng, C X / Chak, A. ·Department of Biomedical Engineering, University of Michigan, Ann Arbor, Michigan, USA. research@kumonweb.com ·Endoscopy · Pubmed #22638782.

ABSTRACT: Our purpose was to demonstrate the use of radiofrequency spectral analysis to distinguish between benign and malignant lymph nodes with data obtained using electronic array echo endoscopes, as we have done previously using mechanical echo endoscopes. In a prospective study, images were obtained from eight patients with benign-appearing lymph nodes and 11 with malignant lymph nodes, as verified by fine-needle aspiration. Midband fit, slope, intercept, correlation coefficient, and root-mean-square (RMS) deviation from a linear regression of the calibrated power spectra were determined and compared between the groups. Significant differences were observable for mean midband fit, intercept, and RMS deviation (t test P < 0.05). For benign (n = 16) vs. malignant (n = 12) lymph nodes, midband fit and RMS deviation provided classification with 89 % accuracy and area under receiver operating characteristic (ROC) curve of 0.95 based on linear discriminant analysis. We concluded that the mean spectral parameters of the backscattered signals from electronic array echo endoscopy can provide a noninvasive method to quantitatively discriminate between benign and malignant lymph nodes.

5 Article Characterization of the pancreas in vivo using EUS spectrum analysis with electronic array echoendoscopes. 2012

Kumon, Ronald E / Repaka, Aparna / Atkinson, Matthew / Faulx, Ashley L / Wong, Richard C K / Isenberg, Gerard A / Hsiao, Yi-Sing / Gudur, Madhu S R / Deng, Cheri X / Chak, Amitabh. ·Department of Physics, Kettering University, Flint, MI 48504-6214, USA. research@kumonweb.com ·Gastrointest Endosc · Pubmed #22498178.

ABSTRACT: BACKGROUND: Spectral analysis of the radiofrequency (RF) signals that underlie grayscale EUS images has been used to provide quantitative, objective information about tissue histology. OBJECTIVE: Our purpose was to validate RF spectral analysis as a method to distinguish between chronic pancreatitis (CP) and pancreatic cancer (PC). DESIGN AND SETTING: A prospective study of eligible patients was conducted to analyze the RF data obtained by using electronic array echoendoscopes. PATIENTS: Pancreatic images were obtained by using electronic array echoendoscopes from 41 patients in a prospective study, including 15 patients with PC, 15 with CP, and 11 with a normal pancreas. MAIN OUTCOME MEASUREMENTS: Midband fit, slope, intercept, correlation coefficient, and root mean square deviation from a linear regression of the calibrated power spectra were determined and compared among the groups. RESULTS: Statistical analysis showed that significant differences were observable between groups for mean midband fit, intercept, and root mean square deviation (t test, P < .05). Discriminant analysis of these parameters was then performed to classify the data. For CP (n = 15) versus PC (n = 15), the same parameters provided 83% accuracy and an area under the curve of 0.83. LIMITATIONS: Moderate sample size and spatial averaging inherent in the technique. CONCLUSIONS: This study shows that mean spectral parameters of the backscattered signals obtained by using electronic array echoendoscopes can provide a noninvasive method to quantitatively discriminate between CP and PC.

6 Article Prevalence and clinical significance of pancreatic cysts associated with cysts in other organs. 2011

Agrawal, Deepak / Maimone, Santo S / Wong, Richard C K / Isenberg, Gerard / Faulx, Ashley / Chak, Amitabh. ·University Texas Southwestern Medical Center, Dallas, TX, United States. deepak ag@yahoo.com ·Dig Liver Dis · Pubmed #21680268.

ABSTRACT: BACKGROUND AND AIM: Von Hippel-Lindau disease is associated with serous cysts in the pancreas and kidneys. In this study we determined the prevalence of pancreatic cysts occurring concurrently with other abdominal cysts and tested the hypothesis that these patients might represent a forme fruste of Von Hippel-Lindau disease and be more likely to be serous cysts. METHODS: A retrospective chart review of patients undergoing endoscopic ultrasound of pancreatic cysts. RESULTS: A total of 156 patients were included in the study. Eighty-five patients (54.8%) had cyst(s) in the pancreas and at least one other intra-abdominal cyst. These cysts included 24 (27.9%) serous cysts, 30 (34.9%), mucinous cysts, 6 (7%) adenocarcinoma and 25 (29.4%) unknowns. Seventy-one patients (45.2%) had isolated pancreatic cysts. These included 17 (23.9%) serous cysts, 28 (39.5%) mucinous cysts, 4 (5.6%) adenocarcinoma and 22 (31%) unknowns. The odds of serous cysts with concurrent extra-pancreatic and pancreatic cysts compared to odds of serous cysts with pancreatic cysts alone were 1.3 (95% CI: 0.6-2.9). CONCLUSIONS: Pancreatic cysts are associated with cysts in other abdominal organs in 54.8% patients. The prevalence of serous cysts was not higher amongst individuals with multiple organ cysts compared to those with only pancreatic cysts.

7 Article Characterization of pancreatic cancer and intra-abdominal lymph node malignancy using spectrum analysis of endoscopic ultrasound imaging. 2009

Kumon, Ronald E / Pollack, Michael J / Faulx, Ashley L / Olowe, Kayode / Farooq, Farees T / Chen, Victor K / Zhou, Yun / Wong, Richard C K / Isenberg, Gerard A / Sivak, Michael V / Chak, Amitabh / Deng, Cheri X. ·Department of Biomedical Engineering, University of Michigan, Ann Arbor, Michigan, USA. kumon@ieee.org ·Conf Proc IEEE Eng Med Biol Soc · Pubmed #19964019.

ABSTRACT: This study assessed the ability of spectral analysis of endoscopic ultrasound (EUS) RF signals acquired in humans in vivo to distinguish between (1) benign and malignant intraabdominal and mediastinal lymph nodes and (2) pancreatic cancer, chronic pancreatitis, and normal pancreas. Mean midband fit, slope, intercept, and correlation coefficient from a linear regression of the calibrated RF power spectra were computed over regions of interest defined by the endoscopist. Linear discriminant analysis was then performed to develop a classification of the resulting spectral parameters. For lymph nodes, classification based on the midband fit and intercept provided 67% sensitivity, 82% specificity, and 73% accuracy for malignant vs. benign nodes. For pancreas, classification based on midband fit and correlation coefficient provided 95% sensitivity, 93% specificity, and 93% accuracy for diseased vs. normal pancreas and 85% sensitivity, 71% specificity, and 85% accuracy for pancreatic cancer vs. chronic pancreatitis. These promising results suggest that mean spectral parameters can provide a non-invasive method to quantitatively characterize pancreatic cancer and lymph malignancy in vivo.