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Farshad Foroudi

Publications and source records attributed to Farshad Foroudi.

8 recordsLinked to original sources
PubMed2005

An evidence-based estimate of the appropriate rate of utilization of radiotherapy for cancer of the cervix.

PURPOSE: Current estimates of the proportion of cancer patients who will require radiotherapy (RT) are based almost entirely on expert opinion. The objective of this study was to calculate the proportion of incident cases of cervical cancer that should receive RT by application of an evidence-based approach. METHODS AND MATERIALS: A systematic review of the literature was done to identify indications for RT for cervical cancer and to ascertain the level of evidence that supported each indication. A survey of Canadian gynecologic oncologists and radiation oncologists who treat cervical cancer was done to determine the level of acceptance of each indication among doctors who practice in the field. An epidemiologic approach was then used to estimate the incidence of each indication for RT in a typical North American population of patients with cervical cancer. RESULTS: The systematic review of the literature identified 29 different indications for RT for cervical cancer. The majority of the 75 experts who responded to the mail survey stated that they "usually" or "always" recommended RT in all but one of the clinical situations that were identified as indications for RT on the basis of the systematic review. The analysis of epidemiologic data revealed that, in a typical North American population, 65.4% +/- 2.5% of cervical cancer cases will develop one or more indications for RT at some point in the course of the illness, 63.4% +/- 2.3% will develop indications for RT as part of their initial management, and 2.0% +/- 0.9% will develop indications for RT for progressive or recurrent disease. The effects of variations in case mix on the need for RT was examined by sensitivity analysis, which suggested that the maximum plausible range for the appropriate rate of utilization of RT was 54.3% to 67.9%. The proportion of cases that required RT was stage dependent: 10.6% +/- 1.2% in Stage IA, 74.9% +/- 1.3% in Stage IB, 100% in Stages II and III, and 97.2% +/- 1.1% in Stage IV. CONCLUSIONS: This evidence-based estimate of the appropriate rate of use of RT for cervical cancer adds to the growing pool of knowledge about the need for RT that will ultimately provide a rational basis for long-term planning for RT programs and for auditing access to RT in the general population.

Canada↗
PubMed2004

Estimating the benefit and cost of radiotherapy for lung cancer.

PURPOSE: To estimate the benefit and cost of using radiotherapy (RT) in the initial management of lung cancer in the general population. METHODS: We identified indications for RT in the initial management of small cell and non-small cell lung cancer through a review of the literature. The proportion of patients with each specific indication for treatment was determined using epidemiological observations from cancer registry data and from the literature. We estimated the benefit gained from RT use for each indication in the model using values published in the literature. We estimated the cost of RT for each indication using published Canadian data. The total benefit and cost was calculated for all indications combined. Results are reported in 2001 Canadian dollars. RESULTS: The mean benefit was 7 months of survival for each lung cancer patient treated with curative intent and 3 months of symptom control for each patient treated with palliative intent. The average cost was 9881 dollars per life year gained and 13,938 dollars per year of symptom control gained. Sensitivity analysis revealed values between 7905 dollars and 19,762 dollars per year of survival gain and between 10,368 dollars and 27,875 dollars per year of symptom control gained. CONCLUSIONS: Using RT in the initial management of lung cancer can provide considerable gains in survival and symptom control. The cost of RT for the initial management of lung cancer is inexpensive compared with a common cut off of 50,000 dollars per life year gained.

Cost-Benefit Analysis↗
PubMed2003

An evidence-based estimate of the appropriate radiotherapy utilization rate for colorectal cancer.

PURPOSE: Current estimates of the proportion of cancer patients who will require RT are based almost entirely on expert opinion. The objective of this study was to estimate the proportion of incident cases of colorectal cancer that should receive RT using an evidence-based approach. METHODS AND MATERIALS: A systematic review of the literature was undertaken to identify indications for RT for colorectal cancer, and to ascertain the level of evidence that supported each indication. An epidemiologic approach was then used to estimate the incidence of each indication for RT in a typical North American population of colorectal cancer patients. The effect of sampling error on the estimated appropriate rate of RT was calculated mathematically, and the effect of systematic error was estimated by sensitivity analysis. RESULTS: It was estimated that 23.7% +/- 1.0% of colorectal cancer cases develop one or more indications for RT at some point in the course of the illness: 20.9% +/- 1.1% as part of their initial treatment, and 2.8% +/- 0.5% later for recurrence or progression. We estimated that 7.1% +/- 0.8% of colon carcinoma patients will require RT at some point in the course of the illness: 4.0% +/- 0.7% as part of their initial treatment, and 3.1% +/- 0.4% later for recurrence or progression. We estimated that 72.3% +/- 1.0% of rectal carcinoma patients will require RT at some point in the course of the illness: 69.6% +/- 0.9% as part of their initial treatment and 2.7% +/- 0.2% later for recurrence or progression. CONCLUSIONS: This method provides a rational starting point for the long-term planning of radiation services, and for the audit of access to RT at the population level. By completing such evaluations in the major cancer sites, it will be possible to estimate the appropriate RT treatment rate for the cancer population as a whole.

Colonic Neoplasms↗
PubMed2003

Performance of different radiotherapy workload models.

PURPOSE: The purpose of this study was to evaluate the performance of different radiotherapy workload models using a prospectively collected dataset of patient and treatment information from a single center. METHODS AND MATERIALS: Information about all individual radiotherapy treatments was collected for 2 weeks from the three linear accelerators (linacs) in our department. This information included diagnosis code, treatment site, treatment unit, treatment time, fields per fraction, technique, beam type, blocks, wedges, junctions, port films, and Eastern Cooperative Oncology Group (ECOG) performance status. We evaluated the accuracy and precision of the original and revised basic treatment equivalent (BTE) model, the simple and complex Addenbrooke models, the equivalent simple treatment visit (ESTV) model, fields per hour, and two local standards of workload measurement. RESULTS: Data were collected for 2 weeks in June 2001. During this time, 151 patients were treated with 857 fractions. The revised BTE model performed better than the other models with a mean [observed -predicted] of 2.62 (2.44-2.80). It estimated 88.0% of treatment times within 5 min, which is similar to the previously reported accuracy of the model. CONCLUSION: The revised BTE model had similar accuracy and precision for data collected in our center as it did for the original dataset and performed the best of the models assessed. This model would have uses for patient scheduling, and describing workloads and case complexity.

Appointments and Schedules↗
PubMed2003

Evidence-based estimate of appropriate radiotherapy utilization rate for prostate cancer.

PURPOSE: Current estimates of the proportion of cancer patients who will require radiotherapy (RT) are based almost entirely on expert opinion. The objective of this study was to use an evidence-based approach to estimate the proportion of incident cases of prostate cancer that should receive RT at any point in the evolution of the illness. METHODS AND MATERIALS: A systematic review of the literature was undertaken to identify indications for RT for prostate cancer and to ascertain the level of evidence that supported each indication. An epidemiologic approach was then used to estimate the incidence of each indication for RT in a typical North American population of prostate cancer patients. The effect of sampling error on the estimated appropriate rate of RT was calculated mathematically, and the effect of systematic error using alternative sources of information was estimated by sensitivity analysis. RESULTS: It was estimated that 61.2% +/- 5.6% of prostate cancer cases develop one or more indications for RT at some point in the course of the illness. The plausible range for this rate was 57.3%-69.8% on sensitivity analysis. Of all prostate cancer patients, 32.2% +/- 3.8% should receive RT in their initial treatment and 29.0% +/- 4.1% later for recurrence or progression. The proportion of cases that ever require RT is risk grouping dependent; 43.9% +/- 2.2% in low-risk disease, 68.7% +/- 3.5% in intermediate-risk disease; and 79.0% +/- 3.8% in high-risk locoregional disease. For metastatic disease, the predicted rate was 66.4% +/- 0.3%. CONCLUSION: This method provides a rational starting point for the long-term planning of radiation services and for the audit of access to RT at the population level. By completing such evaluations in major cancer sites, it will be possible to estimate the appropriate RT rate for the cancer population as a whole.

Humans↗
PubMed2002

An evidence-based estimate of appropriate radiotherapy utilization rate for breast cancer.

PURPOSE: Current estimates of the proportion of cancer patients who will require radiotherapy (RT) are based almost entirely on expert opinion. We sought to use an evidence-based approach to estimate the proportion of incident cases of breast cancer that will require RT at any point in the evolution of the illness. METHODS AND MATERIALS: We undertook a systematic review of the literature to identify indications for RT for breast cancer and to ascertain the level of evidence that supported each indication. An epidemiologic approach was then used to estimate the incidence of each indication for RT in a typical North American population of breast cancer patients. The effect of sampling error on the estimated appropriate rate of RT was calculated mathematically, and the effect of systematic error was estimated by sensitivity analysis. RESULTS: It was estimated that 66.4% +/- 4.8% of breast cancer patients develop one or more indications for RT at some point in the course of the illness. The plausible range for this rate was 56.3%-72.4% on sensitivity analysis. Of all breast cancer patients, 57.3% +/- 4.7% require RT in their initial treatment and 9.1% +/- 1.0% do so later for recurrence or progression. The proportion of patients who ever require RT is stage dependent: 39.8% +/- 1.1% in ductal carcinoma in situ; 68.6% +/- 4.1% in Stage I invasive carcinoma; 81.5% +/- 2.3% in Stage II; 95.3% +/- 0.3% in Stage III; and 63.7% +/- 0.3% in Stage IV. CONCLUSION: This method provides a rational starting point for the long-term planning of RT services and for the audit of access to RT at the population level. By completing such evaluations in the major cancer sites, it will be possible to estimate the appropriate RT treatment rate for the cancer population as a whole.

Algorithms↗
PubMed2002

Waiting for radiation therapy: does it matter?

The aim of this study was to determine the direct and indirect effects of prolonged waiting times for radiation therapy. We used the Medline, CancerNet and EMBASE databases to search the international research using the keywords radiotherapy, waiting times and delay. The negative effects of prolonged waiting times for radiation therapy can be broken down into direct and indirect effects. Direct effects include tumour control factors and patient factors. Indirect effects include changes in referral patterns and change in management of tumours. The precise effects of prolonged waiting times for radiation therapy are difficult to define. Evidence exists for some tumour sites, such as postoperative head and neck, small-cell lung cancer and high-grade cerebral gliomas, that tumour control might be adversely affected. The effect on other tumour sites is less established. Patient factors are likely to be consistent across all tumour types and indirect effects are hard to quantify.

Appointments and Schedules↗