scholarly journals Time From Diagnosis to Chemotherapy Initiation Is Not Associated with Survival Among Patients Receiving Neoadjuvant Therapy for Pancreatic Adenocarcinoma

2021 ◽  
Vol 233 (5) ◽  
pp. e124
Author(s):  
Jonathan J. Hue ◽  
Kavin Sugumar ◽  
Luke Rothermel ◽  
John B. Ammori ◽  
Jeffrey M. Hardacre ◽  
...  
2020 ◽  
Vol 27 (S3) ◽  
pp. 965-965
Author(s):  
Amr I. Al Abbas ◽  
Mazen Zenati ◽  
Caroline J. Rieser ◽  
Ahmad Hamad ◽  
Jae Pil Jung ◽  
...  

2020 ◽  
pp. 000313482098255
Author(s):  
Michael D. Watson ◽  
Maria R. Baimas-George ◽  
Keith J. Murphy ◽  
Ryan C. Pickens ◽  
David A. Iannitti ◽  
...  

Background Neoadjuvant therapy may improve survival of patients with pancreatic adenocarcinoma; however, determining response to therapy is difficult. Artificial intelligence allows for novel analysis of images. We hypothesized that a deep learning model can predict tumor response to NAC. Methods Patients with pancreatic cancer receiving neoadjuvant therapy prior to pancreatoduodenectomy were identified between November 2009 and January 2018. The College of American Pathologists Tumor Regression Grades 0-2 were defined as pathologic response (PR) and grade 3 as no response (NR). Axial images from preoperative computed tomography scans were used to create a 5-layer convolutional neural network and LeNet deep learning model to predict PRs. The hybrid model incorporated decrease in carbohydrate antigen 19-9 (CA19-9) of 10%. Accuracy was determined by area under the curve. Results A total of 81 patients were included in the study. Patients were divided between PR (333 images) and NR (443 images). The pure model had an area under the curve (AUC) of .738 ( P < .001), whereas the hybrid model had an AUC of .785 ( P < .001). CA19-9 decrease alone was a poor predictor of response with an AUC of .564 ( P = .096). Conclusions A deep learning model can predict pathologic tumor response to neoadjuvant therapy for patients with pancreatic adenocarcinoma and the model is improved with the incorporation of decreases in serum CA19-9. Further model development is needed before clinical application.


HPB ◽  
2020 ◽  
Vol 22 ◽  
pp. S38
Author(s):  
M. Watson ◽  
M. Baimas-George ◽  
K. Murphy ◽  
R. Pickens ◽  
D. Iannitti ◽  
...  

2008 ◽  
Vol 206 (3) ◽  
pp. 451-457 ◽  
Author(s):  
Sarah E. Greer ◽  
J. Marc Pipas ◽  
John E. Sutton ◽  
Bassem I. Zaki ◽  
Michael Tsapakos ◽  
...  

JAMA Oncology ◽  
2018 ◽  
Vol 4 (7) ◽  
pp. 963 ◽  
Author(s):  
Janet E. Murphy ◽  
Jennifer Y. Wo ◽  
David P. Ryan ◽  
Wenqing Jiang ◽  
Beow Y. Yeap ◽  
...  

2017 ◽  
Author(s):  
Gregory C Wilson ◽  
Brent T Xia ◽  
Syed A Ahmed

Despite decades of advancement and research into the multimodal care of pancreatic cancer, mortality after the diagnosis of pancreatic ductal adenocarcinoma remains grim. The role of adjuvant therapy following surgical resection has been well established in the literature. However, adjuvant therapy is imperfect, and outside of a clinical trial, there are high rates of omission or delayed initiation of therapy. Neoadjuvant treatment strategies continue to be explored in the management of resectable, borderline-resectable, and locally advanced unresectable pancreatic adenocarcinoma. With improved resection rates and the possibility for tumor downstaging, neoadjuvant therapy has become standard for patients with borderline-resectable and locally advanced unresectable tumors. Additional benefits of neoadjuvant therapy in the treatment of resectable tumors include improved completion rates of systemic therapy and R0 resection rates. Future clinical trials, including the use of novel treatment agents and combination treatment strategies in both neoadjuvant and adjuvant regimens, will add value to the treatment of pancreatic adenocarcinoma. Key words: adjuvant therapy, borderline-resectable pancreatic cancer, locally advanced pancreatic cancer, neoadjuvant therapy, pancreatic adenocarcinoma, resectable disease 


2020 ◽  
Vol 123 (1) ◽  
pp. 245-251
Author(s):  
Ibrahim Nassour ◽  
Mohamed A. Adam ◽  
Stacy Kowalsky ◽  
Samer Al Masri ◽  
Nathan Bahary ◽  
...  

2020 ◽  
Vol 158 (6) ◽  
pp. S-1581
Author(s):  
Samuel O. Dennis ◽  
William Irish ◽  
Alexander Parikh ◽  
Rebecca A. Snyder

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