Dosimetric factors associated with weight loss during (chemo)radiotherapy treatment for lung cancer

Strategies to reduce morbidity following pleurectomy and decortication for malignant pleural mesothelioma

BACKGROUND

Pleurectomy and decortication (PD) in malignant pleural mesothelioma has a high morbidity mostly associated with aspiration pneumonia (PNA), deep vein thrombosis (DVT), and foreign catheter sepsis. We instituted four strategies to reduce these complications and report our experience.

METHODS

This was a retrospective review of patients who underwent PD at the University of Pennsylvania between 2015 and 2022. Our patients underwent standard of care PD in addition to tracheostomy and gastrostomy/jejunostomy tube with therapeutic anticoagulation (AC) leading up to surgery. Measured outcomes were postoperative PNA, DVT, and sepsis. The predicted risk of those same outcomes had patients not undergone the interventions was calculated based on the American College of Surgeons (ACS) surgical risk calculator (SRC). A McNemar's test was used to determine whether the risk of having PNA, DVT and sepsis differed between the two subgroups.

RESULTS

Fifty-five patients were included in the study. The mean age was 70 years (SD 6.2) with a mean of 21 (SD 19) pack-years of smoking. PNA, DVT, and catheter-related sepsis occurred in 12, four, and seven patients, respectively. Upon using the ACS SRC prediction model of the nonintervention group, PNA, DVT and catheter related sepsis was predicted to occur in 24 (paired data OR 5, 95% CI: 1.4-17.2; McNemar's test p = 0.008), 14 (paired data OR 3.5, 95% CI: 1.15-10.6; McNemar's test p = 0.03), and 17 (paired OR 3, 95% CI: 1.09-8.3; McNemar's test p = 0.04) patients, respectively.

DISCUSSION

Patients undergoing tracheostomy creation, therapeutic AC at the time of diagnosis, and gastrostomy tube placement had a reduced risk of aspiration PNA, DVT, and catheter sepsis.

Improving Early Identification of Significant Weight Loss Using Clinical Decision Support System in Lung Cancer Radiation Therapy

PURPOSE

Early identification of patients who may be at high risk of significant weight loss (SWL) is important for timely clinical intervention in lung cancer radiotherapy (RT). A clinical decision support system (CDSS) for SWL prediction was implemented within the routine clinical workflow and assessed on a prospective cohort of patients.

MATERIALS AND METHODS

CDSS incorporated a machine learning prediction model on the basis of radiomics and dosiomics image features and was connected to a web-based dashboard for streamlined patient enrollment, feature extraction, SWL prediction, and physicians' evaluation processes. Patients with lung cancer (N = 37) treated with definitive RT without prior RT were prospectively enrolled in the study. Radiomics and dosiomics features were extracted from CT and 3D dose volume, and SWL probability (≥ 0.5 considered as SWL) was predicted. Two physicians predicted whether the patient would have SWL before and after reviewing the CDSS prediction. The physician's prediction performance without and with CDSS and prediction changes before and after using CDSS were compared.

RESULTS

CDSS showed significantly better prediction accuracy than physicians (0.73 v 0.54) with higher specificity (0.81 v 0.50) but with lower sensitivity (0.55 v 0.64). Physicians changed their original prediction after reviewing CDSS prediction for four cases (three correctly and one incorrectly), for all of which CDSS prediction was correct. Physicians' prediction was improved with CDSS in accuracy (0.54-0.59), sensitivity (0.64-0.73), specificity (0.50-0.54), positive predictive value (0.35-0.40), and negative predictive value (0.76-0.82).

CONCLUSION

Machine learning-based CDSS showed the potential to improve SWL prediction in lung cancer RT. More investigation on a larger patient cohort is needed to properly interpret CDSS prediction performance and its benefit in clinical decision making.

Functional and patient-reported changes in swallowing and voice after combined chemotherapy and radiotherapy for limited-stage small-cell lung cancer

INTRODUCTION

The purpose of this study was to describe the nature and impact of dysphagia and dysphonia in patients with limited-stage small-cell lung cancer (SCLC) before and after chemoradiation.

METHODS

A prospective cohort study was conducted on patients receiving chemoradiotherapy for limited-stage SCLC. Patients received either 40, 45 or 50 Gy, commencing the second cycle of chemotherapy. Outcomes included: videofluoroscopy (VFSS) to investigate aspiration, swallowing function and oesophageal motility; oral intake limitations; patient-reported dysphagia; and patient-reported dysphonia. Data were collected before treatment and one, three and six months post-treatment.

RESULTS

Twelve patients were enrolled. Oropharyngeal swallowing was safe and functional at all times. Three patients exhibited oesophageal motility disorders before treatment, and a further three post-treatment. Oral intake was most compromised one month post-treatment with five patients either tube dependent or eating very limited diets. At all other times patients were eating normal or near-normal diets. Despite normal oropharyngeal swallowing on VFSS, three patients reported moderate or severe dysphagia one month post-treatment. Three additional patients reported moderate or severe difficulties three and six months post-treatment. Patients who reported dysphagia one month post-treatment all received a mean and maximum oesophageal dose of ≥15.7 Gy and ≥42 Gy, respectively. Dose-response relationships were not apparent three and six months post-treatment. Voice problems varied, with worst scores reported one month post-treatment.

CONCLUSIONS

This study identified discordance between observed swallowing function and patient-reported problems, which has clinical implications for patient management, and highlights future research needs. Ongoing efforts to reduce mucosal toxicity in patients with lung cancer are essential.

Cancer cachexia: an overview of diagnostic criteria and therapeutic approaches for the accredited practicing dietitian

BACKGROUND

Cancer cachexia (CC) is a multifactorial syndrome characterised by ongoing skeletal muscle loss that leads to progressive functional impairment driven by reduced food intake and abnormal metabolism. Despite the traditional use of non-volitional weight loss as the primary marker of CC, there is no consensus on how to diagnose and manage CC.

METHODS

The aim of this narrative review was to describe and discuss diagnostic criteria and therapeutic approaches for the accredited practicing dietitian with respect to identifying and managing CC.

RESULTS

Available diagnostic criteria for cachexia include the cancer-specific (Fearon and Cachexia Score) and general criteria (Evans and Global Leadership Initiative on Malnutrition). These include phenotypic criteria [weight loss, body mass index, (objective) muscle mass assessments, quality of life] and aetiological criteria (disease burden, inflammation, energy expenditure, anorexia and inadequate food intake) and can be incorporated into the nutrition care process (NCP). This informs the nutrition diagnosis of 'chronic disease- or condition-related malnutrition (undernutrition) as related to increased nutrient needs, anorexia or diminished intake due to CC'. Optimal nutrition care and management of CC is multidisciplinary, corrects for increased energy expenditure (via immunonutrition/eicosapentaenoic acid), suboptimal protein/energy intake and poor nutrition quality of life, and includes a physical exercise intervention. Monitoring of intervention efficacy should focus on maintaining or slowing the loss of muscle mass, with weight change as an alternative gross indicator.

CONCLUSIONS

Dietitians and the NCP can play an essential role with respect to identifying and managing CC, focusing on aspects of nutrition screening, assessment and intervention.

Multi-view radiomics and dosiomics analysis with machine learning for predicting acute-phase weight loss in lung cancer patients treated with radiotherapy

We propose a multi-view data analysis approach using radiomics and dosiomics (R&D) texture features for predicting acute-phase weight loss (WL) in lung cancer radiotherapy. Baseline weight of 388 patients who underwent intensity modulated radiation therapy (IMRT) was measured between one month prior to and one week after the start of IMRT. Weight change between one week and two months after the commencement of IMRT was analyzed, and dichotomized at 5% WL. Each patient had a planning CT and contours of gross tumor volume (GTV) and esophagus (ESO). A total of 355 features including clinical parameter (CP), GTV and ESO (GTV&ESO) dose-volume histogram (DVH), GTV radiomics, and GTV&ESO dosiomics features were extracted. R&D features were categorized as first- (L1), second- (L2), higher-order (L3) statistics, and three combined groups, L1 + L2, L2 + L3 and L1 + L2 + L3. Multi-view texture analysis was performed to identify optimal R&D input features. In the training set (194 earlier patients), feature selection was performed using Boruta algorithm followed by collinearity removal based on variance inflation factor. Machine-learning models were developed using Laplacian kernel support vector machine (lpSVM), deep neural network (DNN) and their averaged ensemble classifiers. Prediction performance was tested on an independent test set (194 more recent patients), and compared among seven different input conditions: CP-only, DVH-only, R&D-only, DVH + CP, R&D + CP, R&D + DVH and R&D + DVH + CP. Combined GTV L1 + L2 + L3 radiomics and GTV&ESO L3 dosiomics were identified as optimal input features, which achieved the best performance with an ensemble classifier (AUC = 0.710), having statistically significantly higher predictability compared with DVH and/or CP features (p < 0.05). When this performance was compared to that with full R&D-only features which reflect traditional single-view data, there was a statistically significant difference (p < 0.05). Using optimized multi-view R&D input features is beneficial for predicting early WL in lung cancer radiotherapy, leading to improved performance compared to using conventional DVH and/or CP features.

The Role of Malnutrition and Muscle Wasting in Advanced Lung Cancer

PURPOSE OF REVIEW

Malnutrition, cancer cachexia, and sarcopenia often co-occur in patients with advanced cancer and are associated with poorer response to chemotherapy and reduced survival. Here, we evaluate the current literature regarding the role of nutrition and these associated conditions in patients with advanced lung cancer.

RECENT FINDINGS

While rates of malnutrition are high, nutritional intervention studies have generally been limited by small sample sizes. Novel strategies such as home-based meal delivery may have promise. While no therapy is approved for cancer cachexia, ghrelin agonists and other targeted therapies have yielded promising data in clinical trials. Recent data also suggest that obesity may improve immunotherapy responsiveness. Malnutrition and associated muscle wasting are clearly negative prognostic markers in advanced lung cancer. Patients with malnutrition should be urgently referred for dietary counseling and guidelines for nutritional support should be followed. Optimal treatment of these syndromes will likely include nutrition and anti-cachexia interventions used in combination.

Exploring the Relationship of Radiation Dose Exposed to the Length of Esophagus and Weight Loss in Patients with Lung Cancer

PURPOSE

We investigate whether esophageal dose-length parameters (L_dose) can robustly predict significant weight loss-≥5% weight loss during radiation therapy (RT) compared with the weight before RT-in patients with lung cancer treated with definitive intent.

METHODS AND MATERIALS

Patients with lung cancer treated with conventionally fractionated RT between 2010 and 2018 were retrospectively identified. L_Fdose and L_Pdose, the length of full- and partial-circumferential esophagus receiving greater than a threshold dose in Gy, respectively, were created. Multivariate logistic regression examined the associations between individual L_dose and weight loss after adjusting for clinical parameters and correcting for multiple comparisons. Ridge logistic regression examined the relative importance of L_dose compared with dose-volume (V_dose), mean dose (D_mean), and clinical parameters in determining weight loss. Univariate logistic regression examined the unadjusted probability of weight loss for important L_dose parameters.

RESULTS

Among the 214 patients identified, median age was 66.9 years (range, 31.5-88.9 years), 50.5% (n = 108) were male, 68.2% (n = 146) had stage III lung cancer, median RT dose was 63 Gy (range, 60-66 Gy), and 88.3% (n = 189) received concurrent chemotherapy. Esophagus lengths receiving high full-circumferential (L_F50-L_F60) and high partial-circumferential doses (L_P60) were associated with significant weight loss (P ≤ .05). L_F65 and L_P65 reached near significance (P = .06 and .053, respectively). L_F65 > L_F60 > L_P65 were the most important dose parameters in determining weight loss compared with other L_dose, V_dose, and D_mean parameters.

CONCLUSIONS

Esophageal L_dose parameters are an efficient way of interpreting complex dose parameters in relation to weight loss toxicity among patients with lung cancer receiving definitive RT.

Nutrition support and dietary interventions for patients with lung cancer: current insights

Malnutrition and weight loss are prevalent in patients with lung cancer. The impact of malnutrition on patients with cancer, and specifically in patients with lung cancer, has been demonstrated in a large number of studies. Malnutrition has been shown to negatively affect treatment completion, survival, quality of life, physical function, and health care costs. Emerging evidence is providing some insight into which lung cancer patients are at higher nutritional risk. In lung cancer patients treated with radiotherapy, stage III or more disease, treatment with concurrent chemotherapy and the extent of radiotherapy delivered to the esophagus appear to confer a higher risk of weight loss during and post-treatment. Studies investigating nutrition interventions for lung cancer patients have examined intensive dietary counseling, supplementation with fish oils, and interdisciplinary models of nutrition and exercise interventions and show promise for improved outcomes from these interventions. However, further research utilizing these interventions in large clinical trials is required to definitively establish effective interventions in this patient group.