Research Spotlight

Posted August 15th 2020

Insights into the August 2020 Issue of the JOE.

Gerald N. Glickman, M.S.

Gerald N. Glickman, M.S.

Azarpazhooh, A., A. R. Diogenes, A. F. Fouad, G. N. Glickman, A. Kishen, L. Levin, R. S. Roda, C. M. Sedgley, F. R. Tay and K. M. Hargreaves (2020). “Insights into the August 2020 Issue of the JOE.” J Endod 46(8): 1015-1016.

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Welcome to the August 2020 issue of the JOE. Here, we share some of our favorite articles that are published in this issue of the Journal. We hope you look forward to reading these and other articles in the JOE. [No abstract; excerpt from Editorial].


Posted August 15th 2020

Development and Validation of an Image-based Deep Learning Algorithm for Detection of Synchronous Peritoneal Carcinomatosis in Colorectal Cancer.

Alessandro Fichera, M.D.

Alessandro Fichera, M.D.

Yuan, Z., T. Xu, J. Cai, Y. Zhao, W. Cao, A. Fichera, X. Liu, J. Yao and H. Wang (2020). “Development and Validation of an Image-based Deep Learning Algorithm for Detection of Synchronous Peritoneal Carcinomatosis in Colorectal Cancer.” Ann Surg Jul 16. [Epub ahead of print.].

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OBJECTIVE: The aim of this study was to build a SVM classifier using ResNet-3D algorithm by artificial intelligence for prediction of synchronous PC. BACKGROUND: Adequate detection and staging of PC from CRC remain difficult. METHODS: The primary tumors in synchronous PC were delineated on preoperative contrast-enhanced computed tomography (CT) images. The features of adjacent peritoneum were extracted to build a ResNet3D + SVM classifier. The performance of ResNet3D + SVM classifier was evaluated in the test set and was compared to routine CT which was evaluated by radiologists. RESULTS: The training set consisted of 19,814 images from 54 patients with PC and 76 patients without PC. The test set consisted of 7837 images from 40 test patients. The ResNet-3D spent only 34 seconds to analyze the test images. To increase the accuracy of PC detection, we have built a SVM classifier by integrating ResNet-3D features with twelve PC-specific features (P < 0.05). The ResNet3D + SVM classifier showed accuracy of 94.11% with AUC of 0.922 (0.912-0.944), sensitivity of 93.75%, specificity of 94.44%, PPV of 93.75%, and NPV of 94.44% in the test set. The performance was superior to routine contrast-enhanced CT (AUC: 0.791). CONCLUSIONS: The ResNet3D + SVM classifier based on deep learning algorithm using ResNet-3D framework has shown great potential in prediction of synchronous PC in CRC.


Posted August 15th 2020

One-Year Outcomes of Mitral Valve-in-Valve Using the SAPIEN 3 Transcatheter Heart Valve.

Michael J. Mack M.D.

Michael J. Mack M.D.

Whisenant, B., S. R. Kapadia, M. F. Eleid, S. K. Kodali, J. M. McCabe, A. Krishnaswamy, M. Morse, R. W. Smalling, M. Reisman, M. Mack, W. W. O’Neill, V. N. Bapat, M. B. Leon, C. S. Rihal, R. R. Makkar and M. Guerrero (2020). “One-Year Outcomes of Mitral Valve-in-Valve Using the SAPIEN 3 Transcatheter Heart Valve.” JAMA Cardiol Jul 29. [Epub ahead of print.].

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IMPORTANCE: Bioprosthetic mitral valves are implanted with increasing frequency but inevitably degenerate, leading to heart failure. Reoperation is associated with high morbidity and mortality. Transcatheter mitral valve-in-valve (MViV) using balloon-expandable transcatheter valves has emerged as an alternative for high-surgical risk patients. OBJECTIVE: To assess contemporary outcomes of SAPIEN 3 (Edwards Lifesciences) MViV replacement. DESIGN, SETTING, AND PARTICIPANTS: In this registry-based prospective cohort study of SAPIEN 3 MViV, patients entered in the Society of Thoracic Surgeons/American College of Cardiology Transcatheter Valve Therapy Registry from June 2015 to July 2019 were analyzed. US Centers for Medicare and Medicaid linkage ensured comprehensive collection of death and stroke data. EXPOSURES: Mitral valve-in-valve for degenerated bioprosthetic mitral valves. MAIN OUTCOMES AND MEASURES: The primary efficacy end point was 1-year mortality. The primary safety end point was procedural technical success as defined by the Mitral Valve Academic Research Consortium criteria. Secondary end points included 30-day mortality, New York Heart Association-defined heart failure, and mitral valve performance. RESULTS: A total of 1529 patients (mean [SD] age, 73.3 [11.84] years; 904 women [59.1%]) underwent transseptal or transapical MViV implant at 295 hospitals between June 2015 and July 2019. The mean (SD) Society of Thoracic Surgeons predicted risk of mortality was 11.1% (8.7%). Procedural technical success was achieved for 1480 of 1529 patients (96.8%). All-cause mortality was 5.4% at 30 days and 16.7% at 1 year. Transseptal access was associated with lower 1-year all-cause mortality than transapical access (15.8% vs 21.7%; P = .03). Transcatheter MViV led to early, sustained, and clinically meaningful improvements in heart failure (class III/IV New York Heart Association heart failure of 87.1% at baseline vs 9.7% at 1 year). The mean (SD) mitral valve gradient at 1 year was 7 (2.89) mm Hg. CONCLUSIONS AND RELEVANCE: Transcatheter MViV using the SAPIEN 3 transcatheter heart valve is associated with high technical success, low 30-day and 1-year mortality, significant improvement of heart failure symptoms, and sustained valve performance. Transseptal MViV should be considered an option for most patients with failed surgical bioprosthetic valves and favorable anatomy.


Posted August 15th 2020

Low-Dose Computed Tomography: Effects of Oncology Nurse Navigation on Lung Cancer Screening.

Joni Watson, DNP

Joni Watson, DNP

Watson, J., M. E. Broome and S. M. Schneider (2020). “Low-Dose Computed Tomography: Effects of Oncology Nurse Navigation on Lung Cancer Screening.” Clin J Oncol Nurs 24(4): 421-429.

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BACKGROUND: Low-dose computed tomography (LDCT) lung cancer screening is an evidence-based and reimbursable strategy to decrease lung cancer and all-cause mortality in qualifying patients, but there remains low use and variation in providers’ LDCT screening, ordering, and referring knowledge. OBJECTIVES: The purpose of this quality improvement project was to examine the effects of oncology nurse navigation on assisting patients and ensuring optimal LDCT lung cancer screening. METHODS: Oncology nurse navigators conducted LDCT provider education and navigated 133 eligible patients to LDCT during a five-month intervention time period. FINDINGS: Provider education resulted in improved documented tobacco cessation discussions and increased LDCT screening ordering fidelity. Mean days from LDCT to provider notification and mean days from LDCT to patient notification improved significantly.


Posted August 15th 2020

The Evolution of Transplantation From Saving Lives to Fertility Treatment: DUETS (Dallas UtErus Transplant Study).

Giuliano Testa, M.D.

Giuliano Testa, M.D.

Testa, G., G. J. McKenna, J. Bayer, A. Wall, H. Fernandez, E. Martinez, A. Gupta, R. Ruiz, N. Onaca, R. T. Gunby, A. R. Gregg, M. Olausson, E. C. Koon and L. Johannesson (2020). “The Evolution of Transplantation From Saving Lives to Fertility Treatment: DUETS (Dallas UtErus Transplant Study).” Ann Surg Jul 9. [Epub ahead of print.].

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OBJECTIVE: We report the results of the first 20 uterus transplants performed in our institution. SUMMARY BACKGROUND DATA: Uterus transplantation (UTx) aims at giving women affected by absolute uterine-factor infertility the possibility of carrying their own pregnancy. UTx has evolved from experimental to an established surgical procedure. METHODS: The Dallas Uterus Transplant Study (DUETS) program started in 2016. The uterus was transplanted in orthotopic position with vascular anastomoses to the external iliac vessels and removed when 1 or 2 live births were achieved. Immunosuppression lasted only for the duration of the uterus graft. RESULTS: Twenty women, median age 29.7 years, enrolled in the study, with 10 in phase 1 and 10 in phase 2. All but 2 recipients had a congenital absence of the uterus. Eighteen recipients received uteri from living donors and 2 from deceased donors. In phase 1, 50% of recipients had a technically successful uterus transplant, compared to 90% in phase 2. Four recipients with a technical success in phase 1 have delivered 1 or 2 babies, and the fifth recipient with a technical success is >30 weeks pregnant. In phase 2, 2 recipients have delivered healthy babies and 5 are pregnant. CONCLUSIONS: UTx is a unique type of transplant; whose only true success is a healthy child birth. Based on results presented here, involving refinement of the surgical technique and donor selection process, UTx is now an established solution for absolute uterine-factor infertility.