Department of Radiation Oncology-ERESA, Hospital General Universitario de Valencia, Av. Tres Cruces, 2, 46014, Valencia, Spain.
Servicio Oncología Radioterápica-ERESA, Hospital General Valencia, Av. Tres Cruces, 2, 46014, Valencia, Spain.
Clin Transl Oncol. 2021 Aug;23(8):1657-1665. doi: 10.1007/s12094-021-02564-2. Epub 2021 Feb 14.
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.
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.
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.
RENOR 是一种新的数据挖掘应用程序，用于从放射肿瘤学（RO）中使用的肿瘤学信息系统（ARIA 和 Mosaiq）中提取相关的临床数据。
方法/患者：我们使用 RENORT 从 2019 年 Valencia 总医院 RO 部门治疗的所有患者的 OIS 中提取人口统计学和临床数据。
共进行了 1158 次治疗。女性/男性比例为 39.3%/60.7%，平均年龄为 66 岁。治疗决策/建议到首次就诊之间的平均等待时间为 10.1 天。治疗准备过程的平均持续时间为 21 天。大多数患者（90.4%）在规定时间内完成治疗±7 天。最常见的部位/治疗类型是：转移性/姑息性治疗（n=300；25.9%）、乳房（209；18.0%）、泌尿生殖系统（195；16.8%）、消化系统（116；10.0%）、胸（104；9.0%）、头颈部（62；5.4%）和皮肤癌（51；4.4%）。根据治疗意图的分布情况如下：姑息性（n=266；23.0%）、辅助治愈性（335；28.9%）、无辅助根治性（229；19.8%）、根治性伴同期治疗（188；16.2%）、新辅助治愈性（70；6.0%）、挽救性放疗（61；5.3%）和再放疗（9；0.8%）。最常见的治疗技术是 IGRT 下的 IMRT/VMAT（n=468；40.4%）、IGRT 下的 3D-CRT（421；36.4%）、SBRT（127；11.0%）、2DRT（57；4.9%）和 SFRT（56；4.8%）。每次治疗平均给予 15.9 个分数。根治性意向的乳腺癌和前列腺癌治疗中 100%采用了低分割方案。
RENOR 应用程序从肿瘤学信息系统中方便地检索数据，以全面确定放射治疗在癌症患者治疗中的实际作用。该应用程序有助于确定护理模式并评估治疗效果。
