RENORT: a project to analyze patterns of care in radiation oncology in Spain

PurposeRENORT is an application (app) developed to assess the role of radiotherapy in the treatment of cancer using the oncology information systems (OIS).Methods/PatientsThe RENORT app was used to analyze the data for all patients seen and/or treated at six radiation oncology departments in Spain in 2019. This app can be used to extract the demographic data, treatment sequence, disease status, and radiotherapy treatments from the ARIA and Mosaiq OIS.ResultsA total of 6564 treatments were performed at these six centers in 2019. Most patients (56.9%) were males (females 43.1%). The mean patient age was 64.9 years. The most common treatment types and sites were as follows: metastases/palliative care (25.9%), followed by breast (19.0%), genitourinary (13.7%), lung (10.1%), head and neck (6.0%), rectal (6.0%), gynecological (4.9%), and other (< 4%) cancers. Distribution by disease stage was as follows: breast cancer: 75.5% early stage (stages 0, I, and II); lung: 63.1% advanced stage (III and IV); and head and neck: 72.1% advanced. Treatment intent was curative in 76.5% of cases and palliative in 23.5%. The most common techniques were intensity-modulated radiotherapy (IMRT) and volumetric-modulated arc therapy (VMAT) (41.4%), followed by three-dimensional conformal radiation therapy (3D-CRT) (39.2%); stereotactic body radiotherapy (SBRT) (8.1%); brachytherapy (5.5%); radiosurgery (2.1%); fractionated stereotactic radiotherapy to the brain (1.4%); and intraoperative radiotherapy (1.4%). Hypofractionation was used in 62.3% of curative treatments (mean number of fractions = 16.5).ConclusionsRENORT is a free app that is available for the two main oncology information systems used in most radiation oncology departments. This app has demonstrated the capacity to extract data from these systems, which in turns allows for a comprehensive analysis and better understanding of the role of radiotherapy in the treatment of cancer.

RENORT: a project to analyze patterns of care in radiation oncology in Spain.

PURPOSE: RENORT is an application (app) developed to assess the role of radiotherapy in the treatment of cancer using the oncology information systems (OIS). METHODS/PATIENTS: The RENORT app was used to analyze the data for all patients seen and/or treated at six radiation oncology departments in Spain in 2019. This app can be used to extract the demographic data, treatment sequence, disease status, and radiotherapy treatments from the ARIA and Mosaiq OIS. RESULTS: A total of 6564 treatments were performed at these six centers in 2019. Most patients (56.9%) were males (females 43.1%). The mean patient age was 64.9 years. The most common treatment types and sites were as follows: metastases/palliative care (25.9%), followed by breast (19.0%), genitourinary (13.7%), lung (10.1%), head and neck (6.0%), rectal (6.0%), gynecological (4.9%), and other (< 4%) cancers. Distribution by disease stage was as follows: breast cancer: 75.5% early stage (stages 0, I, and II); lung: 63.1% advanced stage (III and IV); and head and neck: 72.1% advanced. Treatment intent was curative in 76.5% of cases and palliative in 23.5%. The most common techniques were intensity-modulated radiotherapy (IMRT) and volumetric-modulated arc therapy (VMAT) (41.4%), followed by three-dimensional conformal radiation therapy (3D-CRT) (39.2%); stereotactic body radiotherapy (SBRT) (8.1%); brachytherapy (5.5%); radiosurgery (2.1%); fractionated stereotactic radiotherapy to the brain (1.4%); and intraoperative radiotherapy (1.4%). Hypofractionation was used in 62.3% of curative treatments (mean number of fractions = 16.5). CONCLUSIONS: RENORT is a free app that is available for the two main oncology information systems used in most radiation oncology departments. This app has demonstrated the capacity to extract data from these systems, which in turns allows for a comprehensive analysis and better understanding of the role of radiotherapy in the treatment of cancer.

Pattern of care in radiotherapy at a University Hospital in Spain: the RENORT project

Purpose RENORT is a novel data mining application developed to extract relevant clinical data from oncology information systems (OIS; ARIA and Mosaiq) used in radiation oncology (RO). Methods/patients We used RENORT to extract demographic and clinical data from the OIS of all patients treated at the RO Department at the General Hospital of Valencia during the year 2019. Results A total of 1158 treatments were performed. The female/male ratio was 39.3%/60.7%, with a mean age of 66 years. The mean waiting time between the treatment decision/proposal to the first visit was 10.1 days. Mean duration of the treatment preparation process was 21 days. Most patients (90.4%) completed treatment within the prescribed time ± 7 days. The most common sites/treatment types were: metastatic/palliative treatments (n = 300; 25.9%), breast (209; 18.0%), genitourinary (195; 16.8%), digestive (116; 10.0%), thoracic (104; 9.0%), head and neck (62; 5.4%), and skin cancer (51; 4.4%). The distribution according to treatment intent was as follows: palliative (n = 266; 23.0%), adjuvant curative (335; 28.9%), radical without adjuvant treatment (229; 19.8%), radical with concomitant treatment (188; 16.2%), curative neoadjuvant (70; 6.0%), salvage radiotherapy (61; 5.3%); and reirradiation (9; 0.8%). The most common treatment techniques were IMRT/VMAT with IGRT (n = 468; 40.4%), 3D-CRT with IGRT (421; 36.4%), SBRT (127; 11.0%), 2DRT (57; 4.9%), and SFRT (56; 4.8%). A mean of 15.9 fractions were administered per treatment. Hypofractionated schemes were used in 100% of radical intent breast and prostate cancer treatments. Conclusions The RENORT application facilitates data retrieval from oncology information systems to allow for a comprehensive determination of the real role of radiotherapy in the treatment of cancer patients. This application is valuable to identify patterns of care and to assess treatment efficacy (AU)

Pattern of care in radiotherapy at a University Hospital in Spain: the RENORT project.

PURPOSE: RENORT is a novel data mining application developed to extract relevant clinical data from oncology information systems (OIS; ARIA and Mosaiq) used in radiation oncology (RO). METHODS/PATIENTS: We used RENORT to extract demographic and clinical data from the OIS of all patients treated at the RO Department at the General Hospital of Valencia during the year 2019. RESULTS: A total of 1158 treatments were performed. The female/male ratio was 39.3%/60.7%, with a mean age of 66 years. The mean waiting time between the treatment decision/proposal to the first visit was 10.1 days. Mean duration of the treatment preparation process was 21 days. Most patients (90.4%) completed treatment within the prescribed time ± 7 days. The most common sites/treatment types were: metastatic/palliative treatments (n = 300; 25.9%), breast (209; 18.0%), genitourinary (195; 16.8%), digestive (116; 10.0%), thoracic (104; 9.0%), head and neck (62; 5.4%), and skin cancer (51; 4.4%). The distribution according to treatment intent was as follows: palliative (n = 266; 23.0%), adjuvant curative (335; 28.9%), radical without adjuvant treatment (229; 19.8%), radical with concomitant treatment (188; 16.2%), curative neoadjuvant (70; 6.0%), salvage radiotherapy (61; 5.3%); and reirradiation (9; 0.8%). The most common treatment techniques were IMRT/VMAT with IGRT (n = 468; 40.4%), 3D-CRT with IGRT (421; 36.4%), SBRT (127; 11.0%), 2DRT (57; 4.9%), and SFRT (56; 4.8%). A mean of 15.9 fractions were administered per treatment. Hypofractionated schemes were used in 100% of radical intent breast and prostate cancer treatments. CONCLUSIONS: The RENORT application facilitates data retrieval from oncology information systems to allow for a comprehensive determination of the real role of radiotherapy in the treatment of cancer patients. This application is valuable to identify patterns of care and to assess treatment efficacy.