Computed-Tomography Body Composition Analysis Complements Pre-Operative Nutrition Screening in Colorectal Cancer Patients on an Enhanced Recovery after Surgery Pathway

Deep Learning-Based Body Composition Analysis for Cancer Patients Using Computed Tomographic Imaging

Malnutrition is a commonly observed side effect in cancer patients, with a 30-85% worldwide prevalence in this population. Existing malnutrition screening tools miss ~ 20% of at-risk patients at initial screening and do not capture the abnormal body composition phenotype. Meanwhile, the gold-standard clinical criteria to diagnose malnutrition use changes in body composition as key parameters, particularly body fat and skeletal muscle mass loss. Diagnostic imaging, such as computed tomography (CT), is the gold-standard in analyzing body composition and typically accessible to cancer patients as part of the standard of care. In this study, we developed a deep learning-based body composition analysis approach over a diverse dataset of 200 abdominal/pelvic CT scans from cancer patients. The proposed approach segments adipose tissue and skeletal muscle using Swin UNEt TRansformers (Swin UNETR) at the third lumbar vertebrae (L3) level and automatically localizes L3 before segmentation. The proposed approach involves the first transformer-based deep learning model for body composition analysis and heatmap regression-based vertebra localization in cancer patients. Swin UNETR attained 0.92 Dice score in adipose tissue and 0.87 Dice score in skeletal muscle segmentation, significantly outperforming convolutional benchmarks including the 2D U-Net by 2-12% Dice score (p-values < 0.033). Moreover, Swin UNETR predictions showed high agreement with ground-truth areas of skeletal muscle and adipose tissue by 0.7-0.93 R2, highlighting its potential for accurate body composition analysis. We have presented an accurate body composition analysis based on CT imaging, which can enable the early detection of malnutrition in cancer patients and support timely interventions.

The recent development, application, and future prospects of muscle atrophy animal models

Muscle atrophy, characterized by the loss of muscle mass and function, is a hallmark of sarcopenia and cachexia, frequently associated with aging, malignant tumors, chronic heart failure, and malnutrition. Moreover, it poses significant challenges to human health, leading to increased frailty, reduced quality of life, and heightened mortality risks. Despite extensive research on sarcopenia and cachexia, consensus in their assessment remains elusive, with inconsistent conclusions regarding their molecular mechanisms. Muscle atrophy models are crucial tools for advancing research in this field. Currently, animal models of muscle atrophy used for clinical and basic scientific studies are induced through various methods, including aging, genetic editing, nutritional modification, exercise, chronic wasting diseases, and drug administration. Muscle atrophy models also include in vitro and small organism models. Despite their value, each of these models has certain limitations. This review focuses on the limitations and diverse applications of muscle atrophy models to understand sarcopenia and cachexia, and encourage their rational use in future research, therefore deepening the understanding of underlying pathophysiological mechanisms, and ultimately advancing the exploration of therapeutic strategies for sarcopenia and cachexia.

Comparison of virtual and true non-contrast images from dual-layer spectral detector computed tomography (CT) in patients with colorectal cancer

Background

Colorectal cancer (CRC) is commonly assessed by computed tomography (CT), but the associated radiation exposure is a major concern. This study aimed to quantitatively and qualitatively compare the image quality of virtual non-contrast (VNC) images reconstructed from arterial and portal venous phases with that of true non-contrast (TNC) images in patients with CRC to assess the potential of TNC images to replace VNC images, thereby reducing the radiation dose.

Methods

A total of 69 patients with postoperative pathologically confirmed CRC at the West China Hospital of Sichuan University between May 2022 and April 2023 were enrolled in this cross-sectional study. The CT protocol included the acquisition of TNC images, arterial and portal venous phase images; the VNC images were reconstructed from the two postcontrast phase images. Several parameters, including the CT attenuation value, absolute attenuation error, imaging noise [standard deviation (SD)], signal-to-noise ratio (SNR), and contrast-to-noise ratio (CNR), were measured in multiple abdominal structures for both the TNC and VNC images. Two blinded readers assessed the subjective image quality using a five-point scale. Interobserver agreement was evaluated using interclass correlation coefficients (ICCs). The paired t-test and Wilcoxon signed-rank test were used to compare the objective and subjective results between the TNC and VNC images. Individual measurements of radiation doses for the TNC scan and contrast scan protocols were recorded.

Results

A total of 2,070 regions of interest (ROIs) of the 69 patients were analyzed. Overall, the VNC images exhibited significantly lower attenuation values and SD values than the TNC images in all tissues, except for the abdominal aorta, portal vein, and spleen. The mean absolute attenuation errors between the VNC and TNC images were all less than 10 Hounsfield units (HU). The percentages of absolute attenuation errors less than 5 and 10 HU in the VNC images from the arterial phase (VNCa) were 78.99% and 97.97%, respectively, while those from the portal venous phase (VNCp) were 81.59% and 96.96%, respectively. The absolute attenuation errors between the TNC and VNCa images were smaller than those between the TNC and VNCp images for tumors [VNCaerror: 2.77, interquartile range (IQR) 1.77-4.22; VNCperror: 3.27, IQR 2.68-4.30; P=0.002]. The SNR values and CNR values in the VNC images were significantly higher than those in the TNC images for all tissues, except for the portal vein and spleen. The image quality was rated as excellent (represented by a score of 5) in the majority of the TNC and VNC images; however, the VNC images scored lower than the TNC images. Eliminating the TNC phase resulted in a reduction of approximately 37.99% in the effective dose (ED).

Conclusions

The VNC images provided accurate CT attenuation, good image quality, and lower radiation doses than the TNC images in CRC, and the VNCa images showed minimal differences in the CT attenuation of the tumors.

Effectiveness of magnetic resonance imaging and spiral computed tomography in the staging and treatment prognosis of colorectal cancer

BACKGROUND

Colorectal cancer (CRC) is a prevalent cancer type in clinical settings; its early signs can be difficult to detect, which often results in late-stage diagnoses in many patients. The early detection and diagnosis of CRC are crucial for improving treatment success and patient survival rates. Recently, imaging techniques have been hypothesized to be essential in managing CRC, with magnetic resonance imaging (MRI) and spiral computed tomography (SCT) playing a significant role in enhancing diagnostic and treatment approaches.

AIM

To explore the effectiveness of MRI and SCT in the preoperative staging of CRC and the prognosis of laparoscopic treatment.

METHODS

Ninety-five individuals admitted to Zhongshan Hospital Xiamen University underwent MRI and SCT and were diagnosed with CRC. The precision of MRI and SCT for the presurgical classification of CRC was assessed, and pathological staging was used as a reference. Receiver operating characteristic curves were used to evaluate the diagnostic efficacy of blood volume, blood flow, time to peak, permeability surface, blood reflux constant, volume transfer constant, and extracellular extravascular space volume fraction on the prognosis of patients with CRC.

RESULTS

Pathological biopsies confirmed the following CRC stages: 23, 23, 32, and 17 at T1, T2, T3, and T4, respectively. There were 39 cases at the N0 stage, 22 at N1, 34 at N2, 44 at M0 stage, and 51 at M1. Using pathological findings as the benchmark, the combined use of MRI and SCT for preoperative TNM staging in patients with CRC demonstrated superior sensitivity, specificity, and accuracy compared with either modality alone, with a statistically significant difference in accuracy (P < 0.05). Receiver operating characteristic curve analysis revealed the predictive values for laparoscopic treatment prognosis, as indicated by the areas under the curve for blood volume, blood flow, time to peak, and permeability surface, blood reflux constant, volume transfer constant, and extracellular extravascular space volume fraction were 0.750, 0.683, 0.772, 0.761, 0.709, 0.719, and 0.910, respectively. The corresponding sensitivity and specificity values were also obtained (P < 0.05).

CONCLUSION

MRI with SCT is effective in the clinical diagnosis of patients with CRC and is worthy of clinical promotion.

Standard Nutritional Assessment Tools Are Unable to Predict Loss of Muscle Mass in Patients Due to Undergo Pancreatico-Duodenectomy: Highlighting the Need for Detailed Nutritional Assessment

BACKGROUND AND METHODS

Pancreatico-duodenectomy (PD) carries significant morbidity and mortality, with very few modifiable risk factors. Radiological evidence of sarcopenia is associated with poor outcomes. This retrospective study aimed to analyse the relationship between easy-to-use bedside nutritional assessment techniques and radiological markers of muscle loss to identify those patients most likely to benefit from prehabilitation.

RESULTS

Data were available in 184 consecutive patients undergoing PD. Malnutrition was present in 33-71%, and 48% had a high visceral fat-to-skeletal muscle ratio, suggestive of sarcopenic obesity (SO). Surgical risk was higher in patients with obesity (OR 1.07, 95%CI 1.01-1.14, p = 0.031), and length of stay was 5 days longer in those with SO (p = 0.006). There was no correlation between skeletal muscle and malnutrition using percentage weight loss or the malnutrition universal screening tool (MUST), but a weak correlation between the highest hand grip strength (HGS; 0.468, p < 0.001) and the Global Leadership in Malnutrition (GLIM) criteria (-0.379, p < 0.001).

CONCLUSIONS

Nutritional assessment tools give widely variable results. Further research is needed to identify patients at significant nutritional risk prior to PD. In the meantime, those with malnutrition (according to the GLIM criteria), obesity or low HGS should be referred to prehabilitation.

Malnutrition Screening with Nutritional Risk Screening 2002 prior to Assessment as Part of GLIM Criteria in Patients Undergoing Major Abdominal Surgery for Gastrointestinal Cancer

INTRODUCTION

For diagnosing malnutrition as an important modifiable risk factor in surgical cancer patients, GLIM criteria offer a standardised diagnostic pathway. Before assessing malnutrition, it is suggested to screen for malnutrition with an implemented screening tool, i.e., the NRS-2002. Validated data regarding the applied screening tool and its relevance for predicting outcome parameters in surgical patients is sparse.

METHODS

260 patients undergoing major abdominal surgery for cancer were retrospectively analysed. Between January 2017 and December 2019, patients were prospectively screened for malnutrition with the Nutritional Risk Score 2002 (NRS). Irrespective of their screening result malnutrition was assessed with GLIM criteria using CT scan at lumbar level 3 for measuring skeletal muscle mass (GLIM MMCT). Patients with negative screening results (NRS ≤2) were analysed regarding their malnutrition assessment and outcome parameters.

RESULTS

Thirty four of 67 patients with NRS ≤2, posing no risk for malnutrition, were diagnosed malnourished according to GLIM MMCT (n = 34, 50.7%). 19 patients (55.9%) with NRS ≤2 and malnutrition according to GLIM had at least one complication, 12 patients (35.3%) had a severe complication (Clavien-Dindo grade ≥ 3a), in 26.5% re-laparotomy was necessary, readmission within 1 month in 20.6% of patients, and length of hospital stay was 18.76 ± 12.66, which was in total worse in outcome compared to the whole study group (n = 260). Patients with NRS ≤2 but diagnosed malnourished by GLIM were at significant higher risk to develop a severe complication (OR 2.256, 95% CI: 1.038-4.9095, p = 0.036) compared to patients with NRS ≤2 but not being diagnosed malnourished. The risk for overall complications was significantly increased in patients with malnutrition diagnosed by the GLIM criteria using MMCT (OR 2.028, 95% CI: 1.188-3.463, p = 0.009). Patients screened at risk with NRS ≥3 and diagnosed malnourished by GLIM were also at significant higher risk for developing complications (OR 1.728, 95% CI: 1.054-2.832, p = 0.029).

CONCLUSION

GLIM MMCT is suitable for diagnosing malnutrition and estimating postoperative risk in gastrointestinal cancer patients. Nutritional assessment only in patients with NRS >2 may bear the risk to miss malnourished patients with high risk for poor clinical outcome. In every patient undergoing major cancer surgery, regular assessment of nutritional status regardless of screening result should be performed exploiting CT body composition analysis.

Multimodal prerehabilitation for elderly patients with sarcopenia in colorectal surgery

Sarcopenia, which is characterized by progressive and generalized loss of skeletal muscle mass and strength, has been well described to be associated with numerous poor postoperative outcomes, such as increased perioperative mortality, postoperative sepsis, prolonged length of stay, increased cost of care, decreased functional outcome, and poorer oncological outcomes in cancer surgery. Multimodal prehabilitation, as a concept that involves boosting and optimizing the preoperative condition of a patient prior to the upcoming stressors of a surgical procedure, has the purported benefits of reversing the effects of sarcopenia, shortening hospitalization, improving the rate of return to bowel activity, reducing the costs of hospitalization, and improving quality of life. This review aims to present the current literature surrounding the concept of sarcopenia, its implications pertaining to colorectal cancer and surgery, a summary of studied multimodal prehabilitation interventions, and potential future advances in the management of sarcopenia.

CT-derived measures of muscle quantity and quality predict poorer outcomes from elective colorectal surgery: a UK multicentre retrospective cohort study

PURPOSE

To assess whether preoperative radiologically defined lean muscle measures are associated with adverse clinical outcomes in patients undergoing elective surgery for colorectal cancer.

METHODS

This retrospective UK-based multicentre data collection study identified patients having had colorectal cancer resection with curative intent between January 2013 to December 2016. Preoperative computed-tomography (CT) scans were used to measure psoas muscle characteristics. Clinical records provided postoperative morbidity and mortality data.

RESULTS

This study included 1122 patients. The cohort was separated into a combined group (patients with both sarcopenia and myosteatosis) and others group (either sarcopenia or myosteatosis, or neither). For the combined group, anastomotic leak was predicted on univariate (OR 4.1, 95% CI 1.43-11.79; p = 0.009) and multivariate analysis (OR 4.37, 95% CI 1.41-13.53; p = 0.01). Also for the combined group, mortality (up to 5 years postoperatively) was predicted on univariate (HR 2.41, 95% CI 1.64-3.52; p < 0.001) and multivariate analysis (HR 1.93, 95% CI 1.28-2.89; p = 0.002). A strong correlation exists between freehand-drawn region of interest-derived psoas density measurement and using the ellipse tool (R2 = 81%; p < 0.001).

CONCLUSION

Measures of lean muscle quality and quantity, which predict important clinical outcomes, can be quickly and easily taken from routine preoperative imaging in patients being considered for colorectal cancer surgery. As poor muscle mass and quality are again shown to predict poorer clinical outcomes, these should be proactively targeted within prehabilitation, perioperative and rehabilitation phases to minimise negative impact of these pathological states.

Perioperative nutrition for gastrointestinal surgery: On the cutting edge

Evidence on perioperative nutrition interventions in gastrointestinal surgery is rapidly evolving. We conducted a narrative review of various aspects of nutrition support, including formula choice and route of administration, as well as duration and timing of nutrition support therapy. Studies have demonstrated that nutrition support is associated with improved clinical outcomes in malnourished patients and those at nutrition risk, emphasizing the importance of nutrition assessment, for which several validated nutrition risk assessment tools exist. The assessment of serum albumin levels has fallen out of favor, as it is an unreliable marker of nutrition status, whereas imaging evidence of sarcopenia has prognostic value and may emerge as a standard component of nutrition assessment. Preoperatively, evidence supports limiting fasting to reduce insulin resistance and improve oral tolerance. Benefits to preoperative carbohydrate loading remain unclear, whereas literature suggests preoperative parenteral nutrition (PN) may reduce postoperative complications in high-risk patients with malnutrition or sarcopenia. Postoperatively, early oral feeding is safe with benefits in time to return of bowel function and reduced hospital stay. There is a signal for potential benefit to early postoperative PN in critically ill patients, though evidence is sparse. There has also been a recent emergence in randomized studies evaluating the use of ω-3 fatty acids, amino acids, and immunonutrition. Meta-analyses have reported favorable outcomes for these supplements, though individual studies are small and with significant methodological limitations and risk of bias, emphasizing the need for high-quality randomized studies to guide clinical practice.

Usefulness of skeletal muscle measurement by computed tomography in patients with esophageal cancer: changes in skeletal muscle mass due to neoadjuvant therapy and the effect on the prognosis

PURPOSE

This analysis was performed to clarify the usefulness of skeletal muscle measurements using computed tomography (CT) in patients with esophageal cancer and the effect of treatment-induced changes in the skeletal muscle mass on the prognosis.

METHODS

Ninety-seven male patients who underwent thoracoscopic esophagectomy for esophageal squamous cell carcinoma were included in the study. The preoperative CT images were analyzed retrospectively.

RESULTS

In a survival analysis performed according to the preoperative data of skeletal muscle, the low-skeletal muscle index (l-SMI) group had a poorer outcome than the normal skeletal muscle index (n-SMI) group in terms of both the overall survival (OS) and the relapse-free survival (RFS) (OS: P < 0.01, RFS: P = 0.01). In the multivariate analysis for the OS, preoperative l-SMI was an independent predictor (hazard ratio: 3.68, 95% confidence interval 1.32-10.2, P = 0.01). In patients who underwent neoadjuvant therapy (NAT), the SMI was significantly reduced after NAT (P < 0.01). The preoperative skeletal muscle area on CT was strongly correlated with the results of a bioelectrical impedance analysis (BIA) (ρ = 0.77, P < 0.01).

CONCLUSIONS

A decreased preoperative skeletal muscle mass was associated with a poor outcome. In patients who underwent NAT, the SMI was significantly reduced after NAT. An analysis of the skeletal muscle mass using CT images was found to be useful for providing data that corresponded with BIA data.

Preoperative evaluation of sarcopenia in patients with colorectal cancer: a prospective study

OBJECTIVE

Colorectal cancer is the third most diagnosed malignant neoplasm in the world and the fourth leading cause of cancer mortality. The loss of muscle mass in oncological patients is the main aspect of cancer-related malnutrition. Associations between sarcopenia and poor outcomes, such as high postoperative mortality, chemotherapy toxicity, and reduced survival, have been recently described. The aim of this study was to prospectively assess the prevalence of preoperative sarcopenia in patients with colorectal cancer using validated methods to evaluate muscle strength, muscle mass, and physical performance.

METHODOLOGY

This study included patients with colorectal cancer undergoing oncological staging at a Cancer Center in Brazil from May 2019 to March 2020 who had images from abdominal computed tomography available for analysis of body composition. The muscle strength test, physical performance, referred fatigue, and clinical and nutritional data were evaluated.

RESULTS

A total of 31 patients were included, and most were diagnosed with colon cancer (77.4%) and clinical stage II in 41.9% of cases. The prevalence of probable sarcopenia was 22.6%; of these patients, sarcopenia was confirmed in 19.4%, and ultimately, 9.7% of the sample was classified as severe sarcopenia. We did not find a significant association between the presence of sarcopenia in our sample and age, sex, tumor staging, nutritional characteristics, referred patient fatigue, or postoperative complications.

CONCLUSION

Considering the criteria established by the EWGSOP, the prevalence of preoperative sarcopenia in colorectal cancer patients was 19.4%.

Development and validation of a radiomics-based nomogram for the prediction of postoperative malnutrition in stage IB1-IIA2 cervical carcinoma

Objective

In individuals with stage IB1-IIA2 cervical cancer (CC) who received postoperative radiotherapy ± chemotherapy (PORT/CRT), the interaction between sarcopenia and malnutrition remains elusive, let alone employing a nomogram model based on radiomic features of psoas extracted at the level of the third lumbar vertebra (L3). This study was set to develop a radiomics-based nomogram model to predict malnutrition as per the Patient-Generated Subjective Global Assessment (PG-SGA) for individuals with CC.

Methods

In total, 120 individuals with CC underwent computed tomography (CT) scans before PORT/CRT. The radiomic features of psoas at L3 were obtained from non-enhanced CT images. Identification of the optimal features and construction of the rad-score formula were conducted utilizing the least absolute shrinkage and selection operator (LASSO) logistic regression to predict malnutrition in the training dataset (radiomic model). Identification of the major clinical factors in the clinical model was performed by means of binary logistic regression analysis. The radiomics-based nomogram was further developed by integrating radiomic signatures and clinical risk factors (combined model). The receiver operating characteristic (ROC) curves and decision curves analysis (DCA) were employed for the evaluation and comparison of the three models in terms of their predictive performance.

Results

Twelve radiomic features in total were chosen, and the rad-score was determined with the help of the non-zero coefficient from LASSO regression. Multivariate analysis revealed that besides rad-score, age and Eastern Cooperative Oncology Group performance status could independently predict malnutrition. As per the data of this analysis, a nomogram prediction model was constructed. The area under the ROC curves (AUC) values of the radiomic and clinical models were 0.778 and 0.847 for the training and 0.776 and 0.776 for the validation sets, respectively. An increase in the AUC was observed up to 0.972 and 0.805 in the training and validation sets, respectively, in the combined model. DCA also confirmed the clinical benefit of the combined model.

Conclusion

This radiomics-based nomogram model depicted potential for use as a marker for predicting malnutrition in stage IB1-IIA2 CC patients who underwent PORT/CRT and required further investigation with a large sample size.

Demystifying Malnutrition to Improve Nutrition Screening and Assessment in Oncology

OBJECTIVE

Patients with cancer and malnutrition are more likely to experience poor treatment tolerance, prolonged length of hospital stay, and decreased quality of life. Early and sustained nutrition risk screening is the first step to tackling this patient and health care burden. Yet, malnutrition remains largely overlooked and undertreated. Malnutrition mismanagement could be indicative of a systemic misunderstanding. With this narrative review, we aimed to (1) define malnutrition, (2) address common malnutrition misconceptions, and (3) summarize nutrition recommendations for patients with cancer.

DATA SOURCES

PubMed and international clinical practice guidelines were used.

CONCLUSION

Malnutrition represents an unbalanced nutritional state that alters body composition and diminishes function. Malnutrition is not always physically obvious, and albumin is not a reliable marker of nutritional status; therefore, systematically screening all patients with a validated nutrition risk screening tool at time of cancer diagnosis, and periodically throughout treatment, is necessary to provide optimal, equitable care. Nutrition risk screening takes less than 1 minute to complete and can be completed by any health care professional. Patients that screen positive for nutrition risk should be referred to a registered nutritionist or dietitian for comprehensive nutritional assessment, diagnosis, and treatment.

IMPLICATIONS FOR NURSING PRACTICE

All health care professionals can and should be responsible for preventing and treating malnutrition. Registered nurses can actively participate in improving patient outcomes by screening patients for nutrition risk, weighing patients at every visit, referring patients to dietitians for nutrition treatment, and providing supportive medical management of nutrition impact symptoms such as nausea.

Tailoring prehabilitation to address the multifactorial nature of functional capacity for surgery

Mounting evidence suggests that recovery begins before the surgical incision. The pre-surgery phase of recovery - the preparation for optimal surgical recovery - can be reinforced with prehabilitation. Prehabilitation is the approach of enhancing the functional capacity of the individual to enable them to withstand a stressful event. With this narrative review, we apply the Wilson & Cleary conceptual model of patient outcomes to specify the complex and integrative relationship of health factors that limit functional capacity before surgery. To have the greatest impact on patient outcomes, prehabilitation programs require individualized and coordinated care from medical, nutritional, psychosocial, and exercise services. This article is protected by copyright. All rights reserved.

Progressive Skeletal Muscle Loss After Surgery and Adjuvant Radiotherapy Impact Survival Outcomes in Patients With Early Stage Cervical Cancer

The effect of skeletal muscle loss associated with surgery and adjuvant radiotherapy on survival outcomes in patients with early-stage cervical cancer remains unclear. We analyzed the data of 133 patients with early-stage cervical cancer who underwent surgery and adjuvant radiotherapy between 2013 and 2018 at two tertiary centers. Skeletal muscle changes were measured using computed tomography scans at baseline, at simulation for radiotherapy, and at 3 months post-treatment. A decrease of ≥5% in the skeletal muscle was defined as “muscle loss.” The Patient-Reported Outcome version of the Common Terminology Criteria for Adverse Events (PRO-CTCAE) was used to assess gastrointestinal toxicity. The Patient-Generated Subjective Global Assessment (PG-SGA) was used for nutritional assessment. Predictors of overall survival were identified using the Cox regression models. The median follow-up period was 3.7 years. After treatment, 32 patients (24.1%) experienced muscle loss. The rate of muscle loss was higher in patients with PRO-CTCAE score ≥3 or PG-SGA score ≥4 at the end of radiotherapy than in patients with PRO-CTCAE score ≤2 or PG-SGA score 0–3 (75.0 vs. 10.5%, p < 0.001; 71.4 vs. 2.2%, p < 0.001). The 3-year overall survival was significantly lower in patients with muscle loss than in those with muscle preserved (65.6 vs. 93.9%, p < 0.001). Multivariate analysis showed that muscle loss was independently associated with poor overall survival (hazard ratio, 4.55; 95% confidence interval: 1.63–12.72; p < 0.001). Muscle loss after surgery and adjuvant radiotherapy was associated with poor overall survival in patients with early-stage cervical cancer. Muscle loss is associated with patient-reported gastrointestinal toxicity and deterioration in nutritional status.

Strategies to Mitigate Chemotherapy and Radiation Toxicities That Affect Eating

Background: Cancer and its therapy is commonly associated with a variety of side effects that impact eating behaviors that reduce nutritional intake. This review will outline potential causes of chemotherapy and radiation damage as well as approaches for the amelioration of the side effects of cancer during therapy. Methods: Information for clinicians, patients, and their caregivers about toxicity mitigation including nausea reduction, damage to epithelial structures such as skin and mucosa, organ toxicity, and education is reviewed. Results: How to anticipate, reduce, and prevent some toxicities encountered during chemotherapy and radiation is detailed with the goal to improve eating behaviors. Strategies for health care professionals, caregivers, and patients to consider include (a) the reduction in nausea and vomiting, (b) decreasing damage to the mucosa, (c) avoiding a catabolic state and muscle wasting (sarcopenia), and (d) developing therapeutic alliances with patients, caregivers, and oncologists. Conclusions: Although the reduction of side effects involves anticipatory guidance and proactive team effort (e.g., forward observation, electronic interactions, patient reported outcomes), toxicity reduction can be satisfying for not only the patient, but everyone involved in cancer care.

The prognostic value of skeletal muscle index on clinical and survival outcomes after cytoreduction and HIPEC for peritoneal metastases from colorectal cancer: A systematic review and meta-analysis

BACKGROUND

Cytoreductive surgery (CRS) and hypertermic intraperitoneal chemotherapy (HIPEC) represent the most effective strategy to manage peritoneal metastases (PM). This systematic review and meta-analysis aimed to assess the impact of body composition on clinical outcomes in patients with PM.

METHODS

A systematic literature search was performed using Medline, Web of Science and EMBASE databases from inception to the 20^st August 2020. Data were independently extracted by 3 authors. Newcastle-Ottawa Scale was used to assess quality and risk of bias of studies. Pooled analyses were performed using Mantel-Haenszel method to estimate overall effect size with mean differences or odd ratios (ORs) and 95% confidence interval (CI). The primary outcome was postoperative complication (POC) rate, while secondary outcomes were severe POC and postoperative mortality.

RESULTS

A total of 4 studies were included in the systematic review and meta-analysis, including 582 patients. A significant association between low skeletal muscle mass and POC was found (OR 1.45, 95% CI 1.04 to 2.03; p = 0.03), while no differences were found in terms operative time, estimated blood loss, length of hospital stay, and postoperative mortality (p > 0.05).

CONCLUSIONS

Low skeletal muscle mass at diagnosis is a valid prognostic factor for POC development in colorectal and PM patients undergoing CRS. Prospective and larger studies are needed to better investigate the role of CT scan derived body composition and to understand how to implement this tool in clinical practice.

Association of Patient-Reported Outcomes and Nutrition with Body Composition in Women with Gynecologic Cancer Undergoing Post-Operative Pelvic Radiotherapy: An Observational Study

Pelvic radiotherapy is associated with gastrointestinal toxicities and deterioration of nutritional status. This study aimed to investigate the association of patient-reported outcomes (PROs) and nutritional status with body composition changes in women who underwent hysterectomy and post-operative radiotherapy for gynecologic cancer. We analyzed data of 210 patients treated with post-operative pelvic radiotherapy for gynecologic cancer between 2013 and 2018. The PRO version of the Common Terminology Criteria for Adverse Events (PRO-CTCAE) was used for gastrointestinal toxicity assessment. The Patient-Generated Subjective Global Assessment (PG-SGA) was used for nutritional assessment. Skeletal muscle index was measured from computed tomography scans at the L3 vertebral level. A reduction in skeletal muscle index ≥ 5% was classified as muscle loss. Odds ratios were calculated through logistic regression models. The PG-SGA score increased from the beginning to the end of radiotherapy (1.4 vs. 3.7, p < 0.001). Patients with PRO-CTCAE scores ≥ 3 had significantly higher PG-SGA scores at the end of radiotherapy than those with PRO-CTCAE scores ≤ 2 (8.1 vs. 2.3, p < 0.001). On multivariable analysis, PRO-CTCAE scores ≥ 3 and PG-SGA scores ≥ 4 at the end of radiotherapy were independently associated with increased risk of muscle loss (odds ratio: 8.81, p < 0.001; odds ratio: 72.96, p < 0.001, respectively). PROs and PG-SGA may be considered as markers of muscle loss after post-operative pelvic radiotherapy for gynecologic cancer.

Bioelectrical Impedance Analysis and Mid-Upper Arm Muscle Circumference Can Be Used to Detect Low Muscle Mass in Clinical Practice

Identification of low muscle mass becomes increasingly relevant due to its prognostic value in cancer patients. In clinical practice, mid-upper arm muscle circumference (MAMC) and bioelectrical impedance analysis (BIA) are often used to assess muscle mass. For muscle-mass assessment, computed tomography (CT) is considered as reference standard. We investigated concordance between CT, BIA, and MAMC, diagnostic accuracy of MAMC, and BIA to detect low muscle mass and their relation with the clinical outcome malnutrition provided with the Patient-Generated Subjective Global Assessment Short Form (PG-SGA SF). This cross-sectional study included adult patients with advanced esophageal and gastrointestinal cancer. BIA, MAMC, and PG-SGA-SF were performed. Routine CT-scans were used to quantify psoas muscle index (PMI) and skeletal muscle area. Good concordance was found between CT_PMI and both BIA_{FFMI (fat free mass index)} (ICC 0.73), and BIA_{ASMI (appendicular skeletal muscle index)} (ICC 0.69) but not with MAMC (ICC 0.37). BIA_FFMI (94%), BIA_ASMI (86%), and MAMC (86%) showed high specificity but low sensitivity. PG-SGA-SF modestly correlated with all muscle-mass measures (ranging from -0.17 to -0.43). Of all patients with low muscle mass, 62% were also classified with a PG-SGA-SF score of ≥4 points. Although CT remains the first choice, since both BIA and MAMC are easy to perform by dieticians, they have the potential to be used to detect low muscle mass in clinical practice.