Brown, Lisa Marie
Mayo Clinic
UC Davis Comprehensive Cancer Center
Citations 3
NCCN Guidelines® Insights: Lung Cancer Screening, Version 1.2025
Wood, Douglas E. , Kazerooni, Ella A. , Argento, Christine, Baines, Jonathan, Boer, Brian, Donington, Jessica , Eapen, Georgie A. , Ferguson, J. Scott , Hou, Lifang , Klippenstein, Donald, Kolansky, Ana S., Leung, Ann N. , Mazzone, Peter J. , Merritt, Robert E. , Norris, Kim, Onaitis, Mark W. , Pipavath, Sudhakar, Puri, Varun , Raz, Dan J. , Reddy, Chakravarthy, Reid, Mary E. , Sandler, Kim L. , Sears, Catherine R. , Tanoue, Lynn, Thacker, Amber L., Tong, Betty C. , Wei, Benjamin , McCullough, Beth, Ramakrishnan, Swathi , Hou, Lifang , Leung, Ann , Aberle, Denise R. , Brown, Lisa Marie , Kumar, Rohit , Leard, Lorriana E. , Sands, Jacob , Schabath, Matthew B. , Studts, Jamie L. , Thacker, Amber L., Travis, William D. , Westover, Kenneth D.
Journal of the National Comprehensive Cancer Network | January 15, 2025 | Volume: 23 | Issue: 1 | Pages: No page available
The NCCN Clinical Practice Guidelines in Oncology (NCCN Guidelines) for Lung Cancer Screening provide criteria for selecting individuals for screening and offer recommendations for evaluating and managing lung nodules detected during initial and subsequent annual screening. These NCCN Guidelines Insights focus on recent updates to the NCCN Guidelines for Lung Cancer Screening.
NCCN Guidelines® Insights: Lung Cancer Screening, Version 1.2022
Wood, Douglas E. , Kazerooni, Ella A. , Eapen, Georgie A. , Ettinger, David S. , Ferguson, J. Scott , Hou, Lifang , Kadaria, Dipen, Klippenstein, Donald, Lackner, Rudy P., Lennes, Inga T. , Leung, Ann N. , Mazzone, Peter J. , Merritt, Robert E. , Midthun, David E. , Onaitis, Mark W. , Pipavath, Sudhakar, Pratt, Christie, Puri, Varun , Raz, Dan J. , Reddy, Chakravarthy, Reid, Mary E. , Sandler, Kim L. , Tanoue, Lynn, Tong, Betty C. , Wei, Benjamin , Westover, Kenneth D. , Yang, Stephen C. , McCullough, Beth, Hughes, Miranda, Hou, Lifang , Leung, Ann , Aberle, Denise R. , Berman, Abigail T. , Brown, Lisa Marie , Kumar, Rohit , Leard, Lorriana E. , Pratt, Christie, Sands, Jacob , Schabath, Matthew B. , Studts, Jamie L. , Travis, William D.
Journal of the National Comprehensive Cancer Network | July 13, 2022 | Volume: 20 | Issue: 7 | Pages: 754-764
The NCCN Guidelines for Lung Cancer Screening recommend criteria for selecting individuals for screening and provide recommendations for evaluation and follow-up of lung nodules found during initial and subsequent screening. These NCCN Guidelines Insights focus on recent updates to the NCCN Guidelines for Lung Cancer Screening.
Comparison of Echocardiographic parameters with Cardiac Magnetic Resonance Imaging in the Assessment of Right Ventricular Function
Chao, Chieh Ju, Siegel, Robert J. , Pujari, Sai Harika , Mookadam, Farouk, Venepally, Nithin R. , Wang, Panwen , Ashraf, Hasan , Marcotte, François , Semkiv, Oksana I., Fath, Ayman R. , Jokerst, Clinton, Agasthi, Pradyumna , Chao, Chieh‐Ju , Mookadam, Farouk , Ashraf, Hasan , Brown, Lisa Marie , Allam, Mohamed , Arsanjani, Reza
No container title available | June 10, 2020 | Volume: No volume available | Issue: No issue available | Pages: No page available
10.22541/au.159183046.66745518
Introduction: The right ventricle (RV) strain measured by speckle tracking (RVS) is a novel method of assessing RV function. We compared RVS to RV fractional area change (FAC%), tricuspid annular peak systolic excursion (TAPSE) and Doppler tissue imaging-derived peak systolic velocity (S’) in the assessment of right ventricular (RV) systolic function measured using cardiac magnetic resonance imaging (MRI). Methods: We enrolled consecutive patients who underwent cardiac MRI between Jan 2012- Dec 2017 and a transthoracic echocardiogram (TTE) within 1 month of the MRI with no interval event. Baseline clinical characteristics and MRI parameters were extracted from chart review. Echocardiographic parameters were measured prospectively. TTE parameters including RVS, TAPSE, S’ and FAC% were tested for accuracy to identify impaired RV EF (EF <45% & <30%) using receiver operator curves. Results: The study cohort included 500 patients with mean age 55 yr ± 18 and right ventricular systolic pressure 33.7 ± 13.6 mmHg. The area under ROC for RVS was 0.69 (95% CI 0.63 – 0.75) and 0.78 (95% CI 0.70 – 0.88) to predict RVEF <45% & RVEF <30% respectively. The RV FAC % had second highest accuracy of predicting RVEF among all the TTE parameters tested in study. Conclusion: Right ventricular strain is the most accurate echocardiographic method to detect impaired right ventricular systolic function when using MRI as the gold standard.