scholarly journals Comparison of surgical data and survival outcome of rectal cancer patients that need upfront surgery after chemoradiotherapy versus salvage surgery after watch-and-wait

2019 ◽  
Vol 30 ◽  
pp. iv120
Author(s):  
P. Bulens ◽  
A. Debucquoy ◽  
I. Joye ◽  
A. Wolthuis ◽  
A. D’Hoore ◽  
...  
Keyword(s):  
Rectal Cancer ◽  
Cancer Patients ◽  
Salvage Surgery ◽  
Survival Outcome ◽  
Watch And Wait ◽  
Surgical Data

Impact of diabetes on site-specific oncologic outcome in stage I-III colorectal cancer.

2012 ◽  
Vol 30 (15_suppl) ◽  
pp. e14114-e14114
Author(s):  
Justin Y Jeon ◽  
Deok Hyun Jeong ◽  
Min Keun Park ◽  
Jennifer A. Ligibel ◽  
Jeffrey A. Meyerhardt ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Rectal Cancer ◽  
Colon Cancer ◽  
Cancer Patients ◽  
Proximal Colon ◽  
Survival Outcome ◽  
Recurrence Free Survival ◽  
Site Specific ◽  
Free Survival ◽  
All Cause Mortality

e14114 Background: Background: Conflicting results have been reported whether pre diagnosis diabetes mellitus (DM) influence survival of colorectal cancer patients or not. Therefore, we determine the influence of DM on long-term outcomes of stage 1-3 patients with resected colon and rectal cancer. Methods: This prospective study include a total of 4,131 participants who were treated for cancer between 1995 and 2005 in South Korea in a single hospital (Non DM: 3,614 patients, DM: 517 patients) with average follow up period of 12 years. We analyzed differences in all cause mortality, disease free survival (DFS), recurrence free survival (RFS) and colorectal cancer-specific mortality between colorectal patients with DM and those without DM. Results: After adjustment for potential confounders, pre-diagnosis DM significantly associated with increased all cause mortality (HR: 1.46, 95% CI: 1.11-1.92), and recurrence free survival reduced DFS (HR: 1.45, 95%CI: 1.15-1.84) and RFS (HR: 1.32, 95% CI: 0.98-1.76) in colon cancer patients but not in rectal cancer patients. In colon cancer patients, DM negatively affects the survival outcome of proximal colon cancer (HR: 2.08, 95%CI: 1.38-3.13), but not of distal cancer (HR:1.34, 95% CI: 0.92-1.96). Conclusions: To our knowledge, the current study first reported the effects of pre-diagnosis DM on survival outcome of colorectal cancer are site specific (proximal colon, distal colon and rectum). The current study was supported by the National Research Foundation of Korea (KRF) (No. 2011-0004892) and the National R&D Program for Cancer Control, Ministry of Health & Welfare, Republic of Korea (1120230). [Table: see text]

Watch and wait management of rectal cancer after neo adjuvant treatment, short-term outcome and morbidity of salvage surgery: A single center experience.

2018 ◽  
Vol 36 (15_suppl) ◽  
pp. e15692-e15692
Author(s):  
Mohammed Alharthi ◽  
Olivier Charette ◽  
Carole Richard ◽  
Eric Debroux ◽  
Francois Dagbert ◽  
...  
Keyword(s):  
Rectal Cancer ◽  
Adjuvant Treatment ◽  
Salvage Surgery ◽  
Single Center ◽  
Watch And Wait ◽  
Short Term ◽  
Term Outcome ◽  
Single Center Experience ◽  
Short Term Outcome

scholarly journals P-133 The watch-and-wait approach in stage IV rectal cancer patients: A good alternative for TME surgery?

2021 ◽  
Vol 32 ◽  
pp. S144
Author(s):  
P. Custers ◽  
B. Hupkens ◽  
B. Grotenhuis ◽  
K. Kuhlmann ◽  
S. Breukink ◽  
...  
Keyword(s):  
Rectal Cancer ◽  
Cancer Patients ◽  
Stage Iv ◽  
Good Alternative ◽  
Watch And Wait

scholarly journals The use of deep learning on endoscopic images to assess the response of rectal cancer after chemoradiation

2021 ◽  
Author(s):  
Hester E. Haak ◽  
Xinpei Gao ◽  
Monique Maas ◽  
Selam Waktola ◽  
Sean Benson ◽  
...  
Keyword(s):  
Rectal Cancer ◽  
Deep Learning ◽  
Cancer Patients ◽  
Diagnostic Performance ◽  
Clinical Decision Making ◽  
Response Evaluation ◽  
Watch And Wait ◽  
Long Term Outcome ◽  
Predictive Values ◽  
Endoscopic Images

Abstract Background Accurate response evaluation is necessary to select complete responders (CRs) for a watch-and-wait approach. Deep learning may aid in this process, but so far has never been evaluated for this purpose. The aim was to evaluate the accuracy to assess response with deep learning methods based on endoscopic images in rectal cancer patients after neoadjuvant therapy. Methods Rectal cancer patients diagnosed between January 2012 and December 2015 and treated with neoadjuvant (chemo)radiotherapy were retrospectively selected from a single institute. All patients underwent flexible endoscopy for response evaluation. Diagnostic performance (accuracy, area under the receiver operator characteristics curve (AUC), positive- and negative predictive values, sensitivities and specificities) of different open accessible deep learning networks was calculated. Reference standard was histology after surgery, or long-term outcome (>2 years of follow-up) in a watch-and-wait policy. Results 226 patients were included for the study (117(52%) were non-CRs; 109(48%) were CRs). The accuracy, AUC, positive- and negative predictive values, sensitivity and specificity of the different models varied from 0.67–0.75%, 0.76–0.83%, 67–74%, 70–78%, 68–79% to 66–75%, respectively. Overall, EfficientNet-B2 was the most successful model with the highest diagnostic performance. Conclusions This pilot study shows that deep learning has a modest accuracy (AUCs 0.76-0.83). This is not accurate enough for clinical decision making, and lower than what is generally reported by experienced endoscopists. Deep learning models can however be further improved and may become useful to assist endoscopists in evaluating the response. More well-designed prospective studies are required.

Outcomes of Watch and Wait (WW) in rectal cancer patients - largest single centre series in United Kingdom

2021 ◽  
Vol 47 (1) ◽  
pp. e20
Author(s):  
Sandeep Kaul ◽  
Rashi Mane ◽  
Ameer Khan ◽  
Aman Bhargava ◽  
Matthew Hanson ◽  
...  
Keyword(s):  
Rectal Cancer ◽  
United Kingdom ◽  
Cancer Patients ◽  
Watch And Wait ◽  
Single Centre
Sign in / Sign up

Export Citation Format

Share Document