Does a 6-point scale approach to post-treatment 18F-FDG PET-CT allow to improve response assessment in head and neck squamous cell carcinoma? A multicenter study.

PURPOSE: Response assessment to definitive non-surgical treatment for head and neck squamous cell carcinoma (HNSCC) is centered on the role of 18F-fluorodeoxyglucose (FDG) positron emission tomography/computed tomography (PET-CT) 12 weeks after treatment. The 5-point Hopkins score is the only qualitative system available for standardized reporting, albeit limited by suboptimal positive predictive value (PPV). The aim of our study was to explore the feasibility and assess the diagnostic accuracy of an experimental 6-point scale ("Cuneo score"). METHODS: We performed a retrospective, multicenter study on HNSCC patients who received a curatively-intended, radiation-based treatment. A centralized, independent qualitative evaluation of post-treatment FDG-PET/CT scans was undertaken by 3 experienced nuclear medicine physicians who were blinded to patients' information, clinical data, and all other imaging examinations. Response to treatment was evaluated according to Hopkins, Cuneo, and Deauville criteria. The primary endpoint of the study was to evaluate the PPV of Cuneo score in assessing locoregional control (LRC). We also correlated semi-quantitative metabolic factors as included in PERCIST and EORTC criteria with disease outcome. RESULTS: Out of a total sample of 350 patients from 11 centers, 119 subjects (oropharynx, 57.1%; HPV negative, 73.1%) had baseline and post-treatment FDG-PET/CT scans fully compliant with EANM 1.0 guidelines and were therefore included in our analysis. At a median follow-up of 42 months (range 5-98), the median locoregional control was 35 months (95% CI, 32-43), with a 74.5% 3-year rate. Cuneo score had the highest diagnostic accuracy (76.5%), with a positive predictive value for primary tumor (Tref), nodal disease (Nref), and composite TNref of 42.9%, 100%, and 50%, respectively. A Cuneo score of 5-6 (indicative of residual disease) was associated with poor overall survival at multivariate analysis (HR 6.0; 95% CI, 1.88-19.18; p = 0.002). In addition, nodal progressive disease according to PERCIST criteria was associated with worse LRC (OR for LR failure, 5.65; 95% CI, 1.26-25.46; p = 0.024) and overall survival (OR for death, 4.81; 1.07-21.53; p = 0.04). CONCLUSIONS: In the frame of a strictly blinded methodology for response assessment, the feasibility of Cuneo score was preliminarily validated. Prospective investigations are warranted to further evaluate its reproducibility and diagnostic accuracy.

Predicting locally advanced rectal cancer response to neoadjuvant therapy with 18F-FDG PET and MRI radiomics features.

PURPOSE: Pathological complete response (pCR) following neoadjuvant chemoradiotherapy or radiotherapy in locally advanced rectal cancer (LARC) is reached in approximately 15-30% of cases, therefore it would be useful to assess if pretreatment of 18F-FDG PET/CT and/or MRI texture features can reliably predict response to neoadjuvant therapy in LARC. METHODS: Fifty-two patients were dichotomized as responder (pR+) or non-responder (pR-) according to their pathological tumor regression grade (TRG) as follows: 22 as pR+ (nine with TRG = 1, 13 with TRG = 2) and 30 as pR- (16 with TRG = 3, 13 with TRG = 4 and 1 with TRG = 5). First-order parameters and 21 second-order texture parameters derived from the Gray-Level Co-Occurrence matrix were extracted from semi-automatically segmented tumors on T2w MRI, ADC maps, and PET/CT acquisitions. The role of each texture feature in predicting pR+ was assessed with monoparametric and multiparametric models. RESULTS: In the mono-parametric approach, PET homogeneity reached the maximum AUC (0.77; sensitivity = 72.7% and specificity = 76.7%), while PET glycolytic volume and ADC dissimilarity reached the highest sensitivity (both 90.9%). In the multiparametric analysis, a logistic regression model containing six second-order texture features (five from PET and one from T2w MRI) yields the highest predictivity in distinguish between pR+ and pR- patients (AUC = 0.86; sensitivity = 86%, and specificity = 83% at the Youden index). CONCLUSIONS: If preliminary results of this study are confirmed, pretreatment PET and MRI could be useful to personalize patient treatment, e.g., avoiding toxicity of neoadjuvant therapy in patients predicted pR-.

Chemotherapy-Induced Neurotoxicity: Evidence of a Protective Role of CC Homozygosis in the Interleukin-1ß Gene-511 C>T Polymorphism.

We hypothesized that the IL-1ß-511 C>T polymorphism could be associated with the development of neurotoxicity and that it could be a possible biomarker to rate the risk of occurrence of neurotoxicity in cancer patients. Genomic DNA was extracted from 85 cancer patients: 49 received systemic chemotherapeutic treatment (CHT) and 36 patients did not receive it (No-CHT). All subjects were genotyped for the functionally active polymorphisms of IL-1ß-511 C>T. We estimated neurotoxicity with the evaluation of neurological deficits. CHT patients showed erythrocytopenia, neurological deficit and a slight lowering of cognitive performance. The subgroup of patients carrying the CC genotype of the IL-1ß-511 C>T gene showed lesser neurological deficits. In the context of cancer treatment, we suggested the potential value of IL-1ß-511 C>T as genetic biomarkers to identify patients with higher risk to develop neurological deficits.

The Neurobiological Basis of the Distress Thermometer: A PET Study in Cancer Patients.

The objective of this study was to investigate the possible associations between the Distress Thermometer (DT) scores and the brain metabolism of structures involved in stress response. Twenty-one cancer patients were assessed using the DT, Problem Checklist and Hospital Anxiety and Depression Scale (HADS). The psychological measures were correlated with [18 F]PET-FDG brain glucose metabolism. Multiple and linear regression and binary logistic regression were run to analyse data. The DT and HADS scores illustrated that 48% of patients were distressed, 19% were depressed and 48% were anxious. Results showed that some subcortical areas activity, such as part of midbrain and of hypothalamus, was correlated with the DT scores. The Problem Checklist scores correlated with the activity of the same areas and included more regions in the limbic forebrain and brainstem. Compared with the DT and Problem Checklist, HADS-Depression scores showed a more extensive pattern of correlation with brain activity, including limbic and cortical areas. The results highlighted that the DT scores correlated with the activity of brain areas typically involved in stress response. Indeed, hypothalamus metabolism was found to be the best predictor of distressed patients.

The chemotherapy long-term effect on cognitive functions and brain metabolism in lymphoma patients.

AIM: A growing number of neuropsychological studies reported that chemotherapy may impair brain functions, inducing persistent cognitive changes in a subset of cancer survivors. The aim of this paper was to investigate the neural basis of the chemotherapy induced neurobehavioral changes by means of metabolic imaging and neuropsychological testing. METHODS: We studied the resting brain [¹8F]FDG-PET/CT images of 50 adult cancer patients with diagnosis of lymphoma: 18 patients were studied prior and 32 after to chemotherapy. All patients underwent to a neuropsychological examination assessing cognitive impairment (tests for shifting attention, verbal memory, phonemic fluency), depression, anxiety and distress. RESULTS: Compared to no chemotherapy patients, the treated group showed significant bilateral lower rate of glucose metabolism in prefrontal cortices, cerebellum, medial cortices and limbic brain areas. The metabolism of these regions negatively correlated with number of cycles and positively with post-chemotherapy time. The treated group showed a poorer performance in many frontal functions, but similar level of depression, anxiety and distress. CONCLUSIONS: Chemotherapy induced significant long-term changes in metabolism of multiple regions with a prevailing involvement of the prefrontal cortex. The observed cognitive dysfunctions could be explained by these changes. The recovery from chemotherapy is probably affected by treatment duration and by the time elapsed after its end. We speculated that the mechanism could be an accelerating ageing / oxidative stress that, in some patients at risk, could result in an early and persistent cognitive impairment.