Local recurrence after rectal cancer treatment in Manitoba.

Can J Surg

Division of Surgical Oncology, Department of Surgery, Health Sciences Centre, University of Manitoba, Winnipeg, Man.

Published: February 2009

Background: By optimizing surgical and/or radiotherapy treatment, local recurrence rates of resectable rectal cancers have been reported to be less than 10% in both clinical trials and in some population-based studies. We examined patterns of care and local recurrence rates for rectal cancers in the province of Manitoba.

Methods: We used the provincial cancer registry to identify all rectal cancers diagnosed from 1994 to 1997. These dates allowed for a minimum of 5 years of follow-up. We obtained information on cancer staging through a retrospective chart review and information on surgical procedures from the cancer registry. We included in our study only those patients with stages I, II and III disease who had an anterior resection, Hartmann procedure or abdominal perineal resection with clear margins. We determined local recurrences by chart review and we reported the crude rate.

Results: We identified 333 patients among whom there was a relatively even distribution of stage I, II and III cancers. Fifty-three percent of patients received a stoma. Adjuvant radiotherapy was administered in 6%, 45% and 80% of patients with stage I, II and III cancers, respectively. Radiotherapy was only given preoperatively to 3 patients. We identified local recurrences in 13%, 16% and 24% of patients with stage I, II and III disease, respectively, with an overall rate of 17.4%. Recurrence rates by hospital ranged from 12% to 43%. Actual rates may be a few percentage points higher because 13% of patients had incomplete follow-up information and were assumed to have no recurrence.

Conclusion: Between 1994 and 1997, the management of resectable rectal cancer in Manitoba did not meet benchmarks for the period in terms of documentation, treatment and, most importantly, the outcome of local recurrence. Initiatives should be taken to ensure that current performance and outcomes have improved.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2637644PMC

Publication Analysis

Top Keywords

local recurrence
16
recurrence rates
12
rectal cancers
12
stage iii
12
rectal cancer
8
resectable rectal
8
cancer registry
8
1994 1997
8
chart review
8
iii disease
8

Similar Publications

Motivation: The accurate prediction of O-GlcNAcylation sites is crucial for understanding disease mechanisms and developing effective treatments. Previous machine learning models primarily relied on primary or secondary protein structural and related properties, which have limitations in capturing the spatial interactions of neighboring amino acids. This study introduces local environmental features as a novel approach that incorporates three-dimensional spatial information, significantly improving model performance by considering the spatial context around the target site.

View Article and Find Full Text PDF

Prognostic significance and accuracy of oncologists' estimates of survival time in recurrent ovarian cancer.

Int J Gynecol Cancer

January 2025

The NHMRC Clinical Trials Centre, The University of Sydney, Sydney, NSW, Australia; Macarthur Cancer Therapy Centre, Sydney, NSW, Australia; Western Sydney University, Department of Medicine, Sydney, NSW, Australia. Electronic address:

Objective: We evaluated the accuracy of oncologists' estimates of expected survival time in recurrent ovarian cancer.

Methods: Oncologists estimated expected survival time at baseline for each patient, who were then followed up for survival time. We hypothesized that oncologists' estimates of expected survival time would be independently significant predictors of survival, unbiased (approximately equal proportions [50%] living longer versus shorter than their expected survival time), or imprecise (<30% within 0.

View Article and Find Full Text PDF

Basket study of oral progesterone antagonist onapristone extended-release in combination with anastrozole in progesterone receptor-positive recurrent adult-type granulosa cell tumor of the ovary.

Int J Gynecol Cancer

January 2025

Memorial Sloan Kettering Cancer Center, Department of Medicine, Gynecologic Medical Oncology Service, New York, NY, USA; Weill Cornell Medical College, Department of Medicine, New York, NY, USA. Electronic address:

Objective: We sought to determine the safety and efficacy of the oral progesterone antagonist onapristone in combination with anastrozole in patients with recurrent progesterone receptor-positive adult-type granulosa cell tumor of the ovary.

Methods: This was a single-institution phase II study of patients with progesterone receptor-positive adult-type granulosa cell tumor who received at least 1 prior line of chemotherapy. Patients were enrolled from November 2021 to August 2022 and tissue was evaluated for progesterone receptor status via immunohistochemistry.

View Article and Find Full Text PDF

Background: Preoperative neoadjuvant chemoradiotherapy (nCRT) is considered to be the standard treatment strategy for locally advanced rectal cancer (LARC); however, the risk of adverse events and postoperative recurrence remains significant. This study aimed to evaluate the non-inferiority of neoadjuvant chemotherapy (nCT) compared with nCRT in patients with LARC and to assess the possibility of eliminating radiotherapy on the basis of guaranteed efficacy.

Materials And Methods: We searched the PubMed, Embase, and Cochrane Library databases to identify randomized controlled trials (RCTs) comparing the efficacy of nCRT and nCT for LARC.

View Article and Find Full Text PDF

Objectives: Cutaneous adnexal carcinomas (CACs) are rare skin cancers with no established treatment guidelines. Given the limited data, this study aims to explore the characteristics and outcomes of patients with CAC treated with radiation therapy (RT).

Methods: Patients diagnosed with CAC between 2000 and 2020 who received RT were included.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!