Assessment of Lymphoma and Other Hematologic Malignancies Training Needs Among Radiation Oncology Residents: a Brief Report.

The role of radiation therapy (RT) varies across hematologic malignancies (HM). Radiation oncology (RO) resident comfort with specific aspects of HM patient management is unknown. The International Lymphoma RO Group (ILROG) assessed resident HM training opportunities and interest in an HM away elective. RO residents (PGY2-5) in the Association of Residents in RO (ARRO) database (n = 572) were emailed an anonymous, web-based survey in January 2019 including binary, Likert-type scale (1 = not at all, 5 = extremely, reported as median [interquartile range]), and multiple-choice questions. Of 134 resident respondents (23%), 86 (64%) were PGY4/5 residents and 36 (27%) were in larger programs (≥ 13 residents). Residents reported having specialized HM faculty (112, 84%) and a dedicated HM rotation (95, 71%). Residents reported "moderate" preparedness to advocate for RT in multidisciplinary conferences (3 [2-3]); make HM-related clinical decisions (3 [2-4]); and critique treatment planning (3 [2-4]). They reported feeling "moderately" to "quite" prepared to contour HM cases (3.5 [3-4]) and "quite" prepared to utilize the PET-CT five-point scale (4 [3-5]). Overall, residents reported feeling "moderately" prepared to treat HM patients (3 [2-3]); 24 residents (23%) felt "quite" or "extremely" prepared. Sixty-six residents (49%) were potentially interested in an HM away elective, commonly to increase comfort with treating HM patients (65%). Therefore, HM training is an important component of RO residency, yet a minority of surveyed trainees felt quite or extremely well prepared to treat HM patients. Programs should explore alternative and additional educational opportunities to increase resident comfort with treating HM patients.

EORTC QLQ-C30 assessment in Turkish patients with hematological malignancies: association with anxiety and depression.

We aimed to evaluate the prevalences of self-reported anxiety and depression symptoms in hematological malignancy patients and to determine the association between the presence of these disorders and the results of the European Organization for Research and Treatment of Cancer Quality of Life Questionnaire-30 (EORTC QLQ-C30). One hundred and forty patients with a diagnosis of a hematological malignancy completed the Hospital Anxiety and Depression Scale (HADS) and the General Health Questionnaire. Patients with higher anxiety scores were more frequently inpatients, had higher EORTC general symptom scores, and they had lower cognitive, emotional, social functioning and global quality of life (QoL) scores (all p values <0.05). Patients with higher depression scores had more frequently active disease and were inpatients; they had higher mean Eastern Cooperative Oncology Group performance scores, EORTC gastrointestinal system and general symptom scores, and significantly lower physical, role, emotional, social and cognitive functioning and global QoL scores (all p values <0.01). During follow-up, it was observed that survival curves of patients with active disease who had higher HADS depression scores tended to be shorter than those with lower scores (p = 0.1). Anxiety and depression are frequent in hematological malignancy patients and associated with poor QoL and performance status. In addition, the presence of self-reported depression might have a predictive value for poor prognosis.

Estimating the optimal utilization rates of radiotherapy for hematologic malignancies from a review of the evidence: part II-leukemia and myeloma.

BACKGROUND: The objective of this study was to estimate the ideal proportion of new patients with leukemia and myeloma who should receive radiotherapy at some time during the course of their illness based on the best evidence. METHODS: Available evidence of the efficacy of radiotherapy in most clinical situations for leukemia and myeloma was identified through extensive literature reviews and treatment guideline searches. Epidemiologic data concerning the distribution of types, disease stages, and other factors that influence the use of radiotherapy were identified. Decision trees were constructed to merge the evidence-based recommendations with the epidemiological data to calculate the optimal proportion of patients who should receive radiotherapy according to the best available evidence. Actual radiotherapy utilization rates also were identified. RESULTS: The proportion of patients diagnosed with myeloma in Australia who should receive radiotherapy based on the evidence was 38%. There was wide variation in the proportion of patients who actually received radiotherapy for myeloma from 24% up to 55%. The recommended proportion of patients diagnosed with myeloma in Australia who, according to the best available evidence, should receive at least a single course of radiotherapy was 38%. The proportion of patients diagnosed in Australia with leukemia who should receive radiotherapy at some point in their management, according to the best available evidence, was calculated at 4%, which corresponded with actual practice. CONCLUSIONS: Further research will be required to determine why more patients who are diagnosed with myeloma are not treated with radiotherapy.

Estimating the optimal utilization rates of radiotherapy for hematologic malignancies from a review of the evidence: part I-lymphoma.

BACKGROUND: The objective of this study was to estimate the ideal proportion of new patients with lymphoma who should receive radiotherapy at some time during the course of their illness, based on the best evidence. METHODS: Available evidence of the efficacy of radiotherapy in most clinical situations for lymphoma were identified through extensive literature reviews and treatment guideline searches. Epidemiologic data concerning the distribution of histologic type, disease stage, and other factors that influence the use of radiotherapy were identified. Decision trees were constructed to merge the evidence-based recommendations with the epidemiologic data to calculate the optimal proportion of patients who should receive radiotherapy according to the best available evidence. Actual radiotherapy utilization rates also were identified. RESULTS: The proportion of patients with lymphoma in Australia that should receive radiotherapy at some point in their management, according to the best available evidence, was calculated at 65.0%. Multivariate analysis with a Monte Carlo simulation yielded a radiotherapy utilization rate of 64.4%. The actual utilization rates of radiotherapy for lymphoma reported in clinical practice were 22-29%, substantially lower than the optimal rate calculated in this project. CONCLUSIONS: Further research will be required to identify why more patients who are diagnosed with lymphoma are not treated with radiotherapy.