Deep Learning-based Prescription of Cardiac MRI Planes.

Purpose: To develop and evaluate a system to prescribe imaging planes for cardiac MRI based on deep learning (DL)-based localization of key anatomic landmarks.

Materials And Methods: Annotated landmarks on 892 long-axis (LAX) and 493 short-axis (SAX) cine steady-state free precession series from cardiac MR images were retrospectively collected between February 2012 and June 2017. U-Net-based heatmap regression was used for localization of cardiac landmarks, which were used to compute cardiac MRI planes.

Automated CT and MRI Liver Segmentation and Biometry Using a Generalized Convolutional Neural Network.

Purpose: To assess feasibility of training a convolutional neural network (CNN) to automate liver segmentation across different imaging modalities and techniques used in clinical practice and apply this to enable automation of liver biometry.

Methods: We trained a 2D U-Net CNN for liver segmentation in two stages using 330 abdominal MRI and CT exams acquired at our institution. First, we trained the neural network with non-contrast multi-echo spoiled-gradient-echo (SGPR)images with 300 MRI exams to provide multiple signal-weightings.

Automated selection of myocardial inversion time with a convolutional neural network: Spatial temporal ensemble myocardium inversion network (STEMI-NET).

Purpose: Delayed enhancement imaging is an essential component of cardiac MRI, which is used widely for the evaluation of myocardial scar and viability. The selection of an optimal inversion time (TI) or null point (TI ) to suppress the background myocardial signal is required. The purpose of this study was to assess the feasibility of automated selection of TI using a convolutional neural network (CNN).

Voice Enabled Framework to Support Post-Surgical Discharge Monitoring.

Unplanned surgical readmissions pose a challenging problem for the American healthcare system. We propose to combine consumer electronic voice recognition technology with the FHIR standard to create a post-surgical discharge monitoring app to identify and alert physicians to a patient's deteriorating status.

The economic impact of surgical care for morbidly obese endometrial cancer patients: a nationwide study.

Background: Obesity significantly impacts the cost of cancer treatment, yet the impact of morbid obesity on inpatient hospital charges related to endometrial cancer treatment is not well-defined.

Objectives: The purpose of this study was to determine the charges that are associated with inpatient surgery, hospitalization, and postoperative care of morbidly obese patients with endometrial cancer.

Study Design: Data were obtained from the National Inpatient Sample from 2010.

Robotic versus laparoscopic versus open surgery in morbidly obese endometrial cancer patients - a comparative analysis of total charges and complication rates.

Objective: To compare the complications and charges of robotic vs. laparoscopic vs. open surgeries in morbidly obese patients treated for endometrial cancer.

The centralization of robotic surgery in high-volume centers for endometrial cancer patients--a study of 6560 cases in the U.S.

Objective: To evaluate the hospital and patient factors associated with robotic surgery for endometrial cancer in the United States.

Methods: Data was obtained from the Nationwide Inpatient Sample from the year 2010. Chi-squared and multivariate analyses were used for statistical analysis.

Survival differences in women with serous tubal, ovarian, peritoneal, and uterine carcinomas.

Objective: The fallopian tube has been implicated as the primary origin of pelvic serous cancers. We proposed to determine the survival outcomes of serous tubal, ovarian, peritoneal, and uterine cancer patients.

Study Design: Data were obtained from the National Cancer Institute between 2004 and 2009.

Foreign- vs US-born Asians and the association of type I uterine cancer.

Objective: The purpose of this study was to determine the association of type I endometrioid uterine cancer in US-born vs immigrant Asian women.

Study Design: Data were obtained from the Surveillance, Epidemiology, and End Results Program from 2001-2009. Chi-squared, Kaplan-Meier, and binomial logistic regression analyses were used for statistics.

Bevacizumab in treatment of high-risk ovarian cancer--a cost-effectiveness analysis.

The objective of this study was to evaluate a cost-effectiveness strategy of bevacizumab in a subset of high-risk advanced ovarian cancer patients with survival benefit. Methods. A subset analysis of the International Collaboration on Ovarian Neoplasms 7 trial showed that additions of bevacizumab (B) and maintenance bevacizumab (mB) to paclitaxel (P) and carboplatin (C) improved the overall survival (OS) of high-risk advanced cancer patients.

MiR-378 as a biomarker for response to anti-angiogenic treatment in ovarian cancer.

Objective: To determine the role of miR-378 as a biomarker for anti-angiogenic therapy response in ovarian cancer.

Methods: Expression of miR-378 was analyzed in ovarian cancer cell lines and human tumors vs. normal ovarian epithelial cells by qRT-PCR.

Applications for oncologic drugs: a descriptive analysis of the oncologic drugs advisory committee reviews.

Background: Despite advances in cancer research, the majority of drug applications submitted to the U.S. Food and Drug Administration (FDA) are not approved.

The inhibition of miR-21 promotes apoptosis and chemosensitivity in ovarian cancer.

Background: MicroRNAs have been implicated in tumorigenesis, drug resistance, and prognosis in cancer. We investigated the role of microRNA-21 (miR-21) in regulating ovarian cancer drug resistance.

Methods: We used parental and cisplatin resistant ovarian cell lines to demonstrate the role of miR-21 in drug resistance and investigated the gene targets of miR-21.

Roles for substance P and gastrin-releasing peptide as neurotransmitters released by primary afferent pruriceptors.

Recent studies support roles for neurokinin-1 (NK-1) and gastrin-releasing peptide (GRP) receptor-expressing spinal neurons in itch. We presently investigated expression of substance P (SP) and GRP in pruritogen-responsive primary sensory neurons and roles for these neuropeptides in itch signaling. Responses of dorsal root ganglion (DRG) cells to various pruritogens were observed by calcium imaging.