Radiation hematologic toxicity prediction for locally advanced rectal cancer using dosimetric and radiomics features.

BACKGROUND: Hematologic toxicity (HT) is a common adverse tissue reaction during radiotherapy for rectal cancer patients, which may lead to various negative effects such as reduced therapeutic effect, prolonged treatment period and increased treatment cost. Therefore, predicting the occurrence of HT before radiotherapy is necessary but still challenging. PURPOSE: This study proposes a hybrid machine learning model to predict the symptomatic radiation HT in rectal cancer patients using the combined demographic, clinical, dosimetric, and Radiomics features, and ascertains the most effective regions of interest (ROI) in CT images and predictive feature sets. METHODS: A discovery dataset of 240 rectal cancer patients, including 145 patients with HT symptoms and a validation dataset of 96 patients (63 patients with HT) with different dose prescription were retrospectively enrolled. Eight ROIs were contoured on patient CT images to derive Radiomics features, which were then, respectively, combined with the demographic, clinical, and dosimetric features to classify patients with HT symptoms. Moreover, the survival analysis was performed on risky patients with HT in order to understand the HT progression. RESULTS: The classification models in ROIs of bone marrow and femoral head exhibited relatively high accuracies (accuracy = 0.765 and 0.725) in the discovery dataset as well as comparable performances in the validation dataset (accuracy = 0.758 and 0.714). When combining the two ROIs together, the model performance was the best in both discovery and validation datasets (accuracy = 0.843 and 0.802). In the survival analysis test, only the bone marrow ROI achieved statistically significant performance in accessing risky HT (C-index = 0.658, P = 0.03). Most of the discriminative features were Radiomics features, and only gender and the mean dose in Irradvolume was involved in HT. CONCLUSION: The results reflect that the Radiomics features of bone marrow are significantly correlated with HT occurrence and progression in rectal cancer. The proposed Radiomics-based model may help the early detection of radiotherapy induced HT in rectal cancer patients and thus improve the clinical outcome in future.

Body composition and dietary intake in patients with head and neck cancer during radiotherapy: a longitudinal study.

OBJECTIVES: To investigate the body composition and dietary intake in the patients with head and neck cancer (HNC) during radiotherapy (RT), and explore the relationship between them. METHODS: This was a prospective, longitudinal observational study. Adult patients with HNC undergoing RT between March 2017 and August 2018 were recruited. Patients' body compositions were evaluated by bioelectrical impedance analysis, and dietary intake was recorded by 24-hour dietary recall at three time points, including baseline (T1), mid-treatment (T2) and post-treatment (T3). Patients were divided into low, middle and high energy intake groups based on the average daily energy intake (DEI). Changes in body weight (BW), fat mass (FM), fat-free mass (FFM) and skeletal muscle mass (SMM) among these three groups were compared. RESULTS: From T1 to T3, the median loss of patients' BW, FM, FFM and SMM was 4.60, 1.90, 2.60 and 1.50 kg, respectively. The loss of BW was more dramatic from T2 to T3 than that from T1 to T2. BW loss was mainly contributed by SMM loss from T1 to T2 and by FM loss from T2 to T3. Meanwhile, patients' dietary intake reduced during treatment. High DEI group had a significantly attenuated loss of patients' BW, FFM, SMM and FM compared with the low DEI group. CONCLUSION: Patients' BW, FM, FFM and SMM all significantly reduced, especially from T2 to T3, with decreased DEI during RT, which stresses the importance of nutrition intervention during the whole course of RT.

Predictive effect of pretreatment nutritional risk and GLIM-defined malnutrition on the nutrition impact symptom clusters in patients with head and neck cancer undergoing radiotherapy.

BACKGROUND: Evidence supporting predictive effects of pretreatment nutritional risk and nutritional status on nutrition impact symptom (NIS) clusters during radiotherapy in patients with head and neck cancer (HNC) is insufficient. METHODS: At baseline (T1 ), we collected severity and interference of NIS (Head and Neck Patient Symptom Checklist), nutritional risk, and nutritional status. During (T2 ) and at the end of radiotherapy (T3 ), we re-evaluated NIS. Symptom clusters were identified by exploratory factor analysis using mean scores of NIS severity at T2 and T3 . Predictive effects were explored by generalized estimating equations. RESULTS: Five hundred thirty-seven patients were recruited and 334 of them completed. Four clusters were identified; the oropharyngeal symptom cluster was the most severe and had the greatest interference with diet. Patients with pretreatment nutritional risk or malnutrition experienced more severe oropharyngeal symptom cluster. CONCLUSIONS: Pretreatment nutritional risk or malnutrition could predict the oropharyngeal symptom cluster in patients with HNC undergoing radiotherapy.

Association between body composition and survival in head and neck cancer patients undergoing radiotherapy.

BACKGROUND: Body composition may influence the prognosis of head and neck cancer (HNC) patients. To find out the most crucial factors in this relationship, we explored the association between body composition and survival. METHODS: In this prospective longitudinal study, HNC patients who underwent radiotherapy (RT) from March 2017 to December 2018 were recruited. The association between body composition and survival was analyzed using Cox proportional hazard regression. RESULTS: Final analysis included 316 patients, with a median follow-up of 34.4 months. Multivariable analysis revealed that weight loss 6 months before RT and body composition changes during RT did not affect the survival outcome. However, patients with low appendicular skeletal muscle mass index (ASMI) before RT exhibited poor overall survival (OS). ASMI before RT was an independent prognostic factor for OS. CONCLUSIONS: Body composition loss was common during RT, and ASMI before RT independently influenced the survival outcomes of HNC patients.

Nutritional counseling was insufficient to maintain dietary intake and nutritional status in head and neck cancer patients undergoing radiotherapy: A historical control study for future intervention in China.

Objective: To determine whether nutritional counseling (NC) affects the dietary intake and nutritional status of head and neck cancer (HNC) patients undergoing radiotherapy (RT) in China. Methods: This historical control study enrolled 139 HNC patients in the NC group and 146 patients in the control group. Before RT, the latter received usual education about side effects. The former received three sessions (T1, before RT; T2, 3 weeks of RT; and T3, 6 to 7 weeks of RT) of individualized NC. Outcome measures were dietary intake, weight, body composition, and nutritional status. Generalized estimating equation (GEE) models were used to analyze intergroup differences. Results: The NC group had higher energy (P â€‹< â€‹0.001) and protein intake (P â€‹= â€‹0.003). However, some patients in the NC group still could not reach 60% of the recommended caloric goals (22.3% at T2 and 32.4% at T3) or protein goals (23.0% at T2 and 27.3% at T3). Although the NC group had a lower weight loss rate (ߠ​= â€‹-0.555, P â€‹= â€‹0.037), they still lost 6.15% â€‹± â€‹4.08% of weight at T3. At T2, more patients in the control group lost ≥ 5% of weight (26.0% vs 15.8%, P â€‹= â€‹0.049). More patients in the control group had malnutrition (P â€‹= â€‹0.045), but 77% of the NC group had malnutrition at T3. Conclusions: NC could effectively improve dietary intake, weight loss, and malnutrition in HNC patients receiving RT. Nevertheless, only NC was insufficient to maintain adequate intake and well-nourished status. We should adopt intensive nutritional intervention with a multidisciplinary team to enhance patients' nutritional status.

Nutrition Impact Symptom Clusters in Patients With Head and Neck Cancer Receiving Concurrent Chemoradiotherapy.

OBJECTIVES: The objective of this study was to identify the nutrition impact symptom (NIS) clusters in patients with head and neck cancer (HNC) receiving concurrent chemoradiotherapy (CCRT) and explore their relationships with the weight loss rate (WLR). METHODS: This longitudinal study included 169 patients. At baseline (T1), the demographics, clinical information, and weight before radiotherapy (RT) were recorded. At the third week (T2) and the end of RT (T3), we assessed the weight, prevalence, severity, and interference of the NIS with the Head and Neck Patient Symptom Checklist. The mean scores of the severity of NIS at T2 and T3 were used as a whole to perform the exploratory factor analysis and identify the symptom clusters. Cronbach's α coefficient was used to evaluate the internal consistency of the symptom clusters. Generalized estimating equations were used to analyze the relationships between clusters and the WLR. RESULTS: We extracted three clusters from 14 NISs: the RT-specific symptom cluster including pain, difficulty swallowing, oral mucositis, thick saliva, difficulty chewing, and dry mouth (Cronbach's α = 0.820); the gastrointestinal symptom cluster including nausea, loss of appetite, feeling full, vomiting, and taste change (Cronbach's α = 0.592); the psychological status cluster including depressed, anxious, and lack of energy (Cronbach's α = 0.710). The multivariable model showed that participants with more serious RT-specific symptom cluster (ß = 1.020, 95% CI: 0.570-1.471, P < 0.001) had higher WLR. CONCLUSIONS: The NIS had close internal connections with each other, so the strategies applied by healthcare professionals should focus on multiple related symptoms, especially to manage the RT-specific symptom cluster.

Validation of the Chinese version of chemotherapy-induced Taste Alteration Scale among patients with head and neck cancer undergoing radiotherapy.

PURPOSE: To validate the Chinese version of the Chemotherapy-induced Taste Alteration Scale (CiTAS) among patients with head and neck cancer (HNC) undergoing radiotherapy (RT). METHODS: Patients with HNC undergoing RT were enrolled from a cancer hospital. Data were collected by face-to-face interview. Patients' subjective taste alterations (TAs) were assessed by the CiTAS. The content validity was evaluated by five experts. Confirmatory and exploratory factor analysis were used to assess construct validity. Convergent validity was assessed by the correlation between the CiTAS score and the Quality of Life Questionnaire-Core 30 (QLQ-C30) score. A single-item subjective intensity taste alteration question and quartiles of RT duration were used to assess the discriminant validity. The reliability was assessed by the Cronbach's alpha and test-retest reliability. RESULTS: 253 patients participated this investigation and 25 patients completed twice. Confirmatory factor analysis showed that the original CiTAS structure with four dimensions was not applicable to patients with HNC undergoing RT. The Chinese version of modified-CiTAS (m-CiTAS) retained 17 items (the item "bothered by the smell of food" was deleted) loading onto three factors: decline in taste, discomfort, and phantogeusia and parageusia. The m-CiTAS showed acceptable correlations with the QLQ-C30. It could effectively discriminate the intensity of subjective TAs according to the single-item question and quartiles of RT duration. The m-CiTAS showed acceptable internal consistency (Cronbach's alpha = 0.573-0.958) and test-retest reliability (r = 0.726-0.831, P < 0.05). CONCLUSIONS: The Chinese version of m-CiTAS is an acceptable and applicable instrument to evaluate TAs among patients with HNC undergoing RT.

Swallowing functional outcomes and nutritional status in head and neck cancer radiotherapy: longitudinal study.

OBJECTIVE: To explore the relationships between swallowing functional outcomes and nutritional status in patients with head and neck cancer undergoing radiotherapy (RT). METHODS: This longitudinal study included 122 patients. Data were collected at three time points: baseline (T1), the third week of RT (T2) and the completion of RT (T3). The Common Terminology Criteria for Adverse Events was used to assess the symptom of dysphagia and other toxicities; the MD Anderson Dysphagia Inventory (MDADI) was used to assess the patient-perceived swallowing functional outcomes; the nutritional status was evaluated by the weight ratio and the Patient-Generated Subjective Global Assessment (PG-SGA). The generalised estimating equation (GEE) was used to measure the correlation of MDADI with the weight ratio or PG-SGA and also to analyse the influential factors of swallowing functional outcomes. RESULTS: The participants' acute dysphagia rates were 5.7% at T1, 69.7% at T2 and 77.9% at T3. The swallowing functional outcomes worsen over RT (p<0.001) and were associated with weight ratio (ß=0.032, p=0.008) and PG-SGA (ß=-0.115, p<0.001). GEE models showed that patients with cancer of the pharynx region, advanced stage, chemoradiotherapy and high RT dose perceived worse swallowing functional outcomes. Oral mucositis, pharynx mucositis and salivary gland inflammation were positively correlated with swallowing functional outcomes, and the pharynx mucositis presented the highest absolute value of ß. CONCLUSION: The swallowing functional outcomes were negatively correlated with nutritional status. Healthcare professionals should identify early on the population at higher risk and focus on multiple toxicities, especially the management of pharynx mucositis, to improve nutritional status.