In-depth Analysis of Lorlatinib-related neurocognitive Adverse Events in Patients With Non-small-cell Lung Cancer.

INTRODUCTION: Lorlatinib is a potent, brain penetrant, next-generation ALK/ROS1 TKI, with high response rates and durable responses, including the brain. However, a significant drawback is the manifestation of neurocognitive adverse events (NCAEs). Despite being generally low-grade in severity, these NCAEs can be physically and mentally disabling. Extensive neurocognitive testing in this group of patients is lacking; therefore we conducted this study. PATIENTS AND METHODS: This observational prospective study was conducted across 3 Dutch university hospitals. Patients with metastatic NSCLC with an ALK- or ROS1-rearrangement and having an indication to start lorlatinib in daily clinical practice were eligible. The primary endpoints were to identify changes in neurocognitive functioning, measured through neurocognitive assessment at intervals of 2 weeks and 2 months after starting lorlatinib, in comparison to baseline. As a secondary endpoint, the correlation between neurocognitive impairment and self-reported neurocognitive dysfunction was examined. RESULTS: Between June 2019 and October 2022, 22 patients were included. Among the various neurocognitive tests administered, only the Hopkins Verbal Learning Test-Revised parts b and c demonstrated a significant and clinically relevant decrease in scoring 2 weeks post initiation of lorlatinib (P = .036 and P = .003, respectively). However, these returned to baseline at the 2-month evaluation. The questionnaires did not result in significantly different outcomes over time. CONCLUSION: Lorlatinib treatment did not result in a sustained and significant decline within any of the specified neurocognitive domains.

Cannabinoid consumption among cancer patients receiving systemic anti-cancer treatment in the Netherlands.

PURPOSE: Despite the inconclusiveness regarding health effects of cannabinoids among cancer patients, studies from non-European countries suggest that the medical-intended consumption of such products by this patient group is significant. The current study analyses cannabinoid usage among oncology patients receiving systemic treatment in the Netherlands. METHODS: The current study included adult patients receiving intravenous systemic therapy at Maastricht Comprehensive Cancer Centre, for a solid malignancy. Participants were asked to complete an anonymous questionnaire including questions on demographic variables, clinical variables and cannabinoid consumption. RESULTS: A total of 153 patients with solid cancer were included in this study. Almost 25% reported usage of cannabinoids for medical purposes, with 15% of the patients currently using the substance. Additionally, 18% of non-users considered future medical usage. In 48% of the cases, consumption was reported by the oncologist. The proposed anti-cancer effect was reported by 46% of the users as motivation for consumption. Current users were mainly palliative patients and 54% of the users were undergoing immunotherapy. Intention of treatment and type of therapy were predictive factors for consumption. Cannabinoid-oil was the most frequently used way of consumption. CONCLUSION: This study underlines the high number of cannabinoid users among oncology patients in the Netherlands in presumed absence of clinical guidance. It highlights the essence of a pro-active role of the clinician, assessing cannabinoid usage and educating the patients on the most recent evidence regarding its potential benefits and risks. Further studies on clinical decision making and efficacy of cannabinoids are recommended, to improve clinical guidance.

Generation of synthetic ground glass nodules using generative adversarial networks (GANs).

BACKGROUND: Data shortage is a common challenge in developing computer-aided diagnosis systems. We developed a generative adversarial network (GAN) model to generate synthetic lung lesions mimicking ground glass nodules (GGNs). METHODS: We used 216 computed tomography images with 340 GGNs from the Lung Image Database Consortium and Image Database Resource Initiative database. A GAN model retrieving information from the whole image and the GGN region was built. The generated samples were evaluated with visual Turing test performed by four experienced radiologists or pulmonologists. Radiomic features were compared between real and synthetic nodules. Performances were evaluated by area under the curve (AUC) at receiver operating characteristic analysis. In addition, we trained a classification model (ResNet) to investigate whether the synthetic GGNs can improve the performances algorithm and how performances changed as a function of labelled data used in training. RESULTS: Of 51 synthetic GGNs, 19 (37%) were classified as real by clinicians. Of 93 radiomic features, 58 (62.4%) showed no significant difference between synthetic and real GGNs (p ≥ 0.052). The discrimination performances of physicians (AUC 0.68) and radiomics (AUC 0.66) were similar, with no-significantly different (p = 0.23), but clinicians achieved a better accuracy (AUC 0.74) than radiomics (AUC 0.62) (p < 0.001). The classification model trained on datasets with synthetic data performed better than models without the addition of synthetic data. CONCLUSIONS: GAN has promising potential for generating GGNs. Through similar AUC, clinicians achieved better ability to diagnose whether the data is synthetic than radiomics.

Screening for Brain Metastases in Patients With NSCLC: A Qualitative Study on the Psychologic Impact of Being Diagnosed With Asymptomatic Brain Metastases.

Introduction: The brain is a frequent site of metastases in NSCLC, and screening for asymptomatic brain metastases (BM) is increasingly advised in NSCLC guidelines. An asymptomatic BM diagnosis may trigger anxiety for future neurologic problems and can negatively affect quality of life of patients and their relatives. Therefore, we performed this qualitative study. Methods: Three focus group discussions were organized with patients with NSCLC and asymptomatic BM (N = 3-4 per group) and separately with their relatives, to explore this psychosocial impact. Two researchers independently performed an inductive content analysis. Results: A total of 10 patients and 10 relatives participated in six focus groups. A diagnosis of BM caused feelings of distress and anxiety in both patients and relatives. These feelings diminished over time in case of a tumor responding to systemic therapy. The diagnosis of BM was not perceived as more distressful than other metastases, and scan-related anxiety was not experienced. Although magnetic resonance imaging screening and follow-up were thought of as burdensome, follow-up was valued. The coping strategies of both groups seemed related to personality and to the efficacy of the given systemic therapy. Relatives appreciated peer support of other relatives during the focus groups, and they seemed open for future psychological support. Conclusions: Asymptomatic BM diagnosis can cause anxiety and distress, but this diminishes over time with effective systemic treatment. Although patients perceive magnetic resonance imaging as burdensome, they value follow-up screening and imaging. Relatives highly appreciated peer support, and psychological distress of relatives should not be overlooked.

Investigation of the added value of CT-based radiomics in predicting the development of brain metastases in patients with radically treated stage III NSCLC.

Introduction: Despite radical intent therapy for patients with stage III non-small-cell lung cancer (NSCLC), cumulative incidence of brain metastases (BM) reaches 30%. Current risk stratification methods fail to accurately identify these patients. As radiomics features have been shown to have predictive value, this study aims to develop a model combining clinical risk factors with radiomics features for BM development in patients with radically treated stage III NSCLC. Methods: Retrospective analysis of two prospective multicentre studies. Inclusion criteria: adequately staged [18F-fluorodeoxyglucose positron emission tomography-computed tomography (18-FDG-PET-CT), contrast-enhanced chest CT, contrast-enhanced brain magnetic resonance imaging/CT] and radically treated stage III NSCLC, exclusion criteria: second primary within 2 years of NSCLC diagnosis and prior prophylactic cranial irradiation. Primary endpoint was BM development any time during follow-up (FU). CT-based radiomics features (N = 530) were extracted from the primary lung tumour on 18-FDG-PET-CT images, and a list of clinical features (N = 8) was collected. Univariate feature selection based on the area under the curve (AUC) of the receiver operating characteristic was performed to identify relevant features. Generalized linear models were trained using the selected features, and multivariate predictive performance was assessed through the AUC. Results: In total, 219 patients were eligible for analysis. Median FU was 59.4 months for the training cohort and 67.3 months for the validation cohort; 21 (15%) and 17 (22%) patients developed BM in the training and validation cohort, respectively. Two relevant clinical features (age and adenocarcinoma histology) and four relevant radiomics features were identified as predictive. The clinical model yielded the highest AUC value of 0.71 (95% CI: 0.58-0.84), better than radiomics or a combination of clinical parameters and radiomics (both an AUC of 0.62, 95% CIs of 0.47-076 and 0.48-0.76, respectively). Conclusion: CT-based radiomics features of primary NSCLC in the current setup could not improve on a model based on clinical predictors (age and adenocarcinoma histology) of BM development in radically treated stage III NSCLC patients.

Unacceptable pain in oncology: The patients' perspective on reasons for absence of pain interventions.

OBJECTIVE: Around 40% of oncology patients receive inadequate pain treatment. A previous study reported pain interventions for only 70% of patients who reported unacceptable pain at the self-service registration desk. The aim of this study is to gain insight in reasons for the absence of pain intervention among oncology patients who reported unacceptable pain. METHODS: In this mixed methods study, 20 patients visiting the oncology outpatient clinic were selected via patient record assessment and interviewed about their perceived reasons for absence of pain intervention. RESULTS: The reasons mentioned by the patients for absence of pain intervention included reluctance of the patient to discuss pain, no treatment preferred by the patient, focus of the physician on treatment of the disease, pain treatment difficult or impossible, and the perception that pain is an inevitable consequence of the cancer treatment. Almost 50% of the patients considered the physician responsible for the absence of pain intervention. CONCLUSION: In conclusion, a variety of reasons for absence of pain intervention are reported by patients, including patient-related and health professional-related reasons. Improvements can be made by promoting regular discussion of pain during hospital visits and empowerment of patients.

Dynamics of eligibility criteria for central nervous system metastases in non-small cell lung cancer randomized clinical trials over time: A systematic review.

Although central nervous system (CNS) metastases frequently occur in patients with non-small cell lung cancer (NSCLC), historically these patients have been excluded from clinical trials. However, due to improving NSCLC prognosis, time to develop CNS metastases increases and information on CNS efficacy of systemic treatment is important. We performed a systematic PubMed review (2000-2020) to describe CNS related eligibility and screening criteria over time. Randomized phase III, and for tyrosine kinase inhibitors (TKIs) also randomized phase II trials enrolling advanced/metastatic NSCLC patients were included. 256/1195 trials were included. In 71 %, CNS metastases were eligible, but in only 3% regardless of symptoms/treatment. Only 37 % required baseline CNS screening (most often TKI and immunotherapy trials), without significant increase over time. A CNS endpoint was pre-specified in 4%. CONCLUSION: CNS screening and eligibility criteria are heterogenous across trials, and CNS related endpoints are rare. These criteria and endpoints should be improved and harmonized.

Healthcare use during COVID-19 and the effect on psychological distress in patients with chronic cardiopulmonary disorders in the Netherlands: a cross-sectional study.

OBJECTIVES: The COVID-19 pandemic caused a massive shift in the focus of healthcare. Such changes could have affected health status and mental health in vulnerable patient groups. We aimed to investigate whether patients with chronic pulmonary and cardiac diseases had experienced high levels of psychological distress during the COVID-19 pandemic in the Netherlands. DESIGN: A cross-sectional study. SETTING: COVID-19 pandemic-related changes in healthcare use, health status and psychological distress were investigated among patients with chronic obstructive pulmonary disease (COPD), pulmonary fibrosis (PF) and congestive heart failure (CHF), using an online nationwide survey. PARTICIPANTS: 680 patients completed the survey. COPD was the most often reported diagnosis 334 (49%), followed by congestive heart failure 219 (32%) and PF 44 (7%). There were 79 (12%) patients with primary diagnosis 'other' than chronic cardiopulmonary disease, who also completed this survey. INTERVENTIONS: Psychological distress was assessed via the DASS-21 score (Depression Anxiety Stress Scale). Moreover, specific worries and anxieties regarding COVID-19 were explored. RESULTS: The frequency of contact with healthcare professionals changed in 52%. Changes in treatment were reported in 52%. Deterioration in health status was self-reported in 39%. Moderate to extremely severe levels of depression, anxiety and stress was observed in 25.8%, 28.5% and 14%, respectively. Over 70% reported specific worries and anxieties, such as about their own health and fear of being alone. Both the deterioration in health status and increased levels of anxiety were significantly (p<0.001, p<0.006) associated with changes in treatment. Exploratory analyses indicated that lack of social support may further increase anxiety. CONCLUSION: Healthcare use changed during the COVID-19 pandemic in the Netherlands. It was associated with a decrease in health status, and increased psychological stress among patients with chronic cardiopulmonary disorders. Provision of healthcare should be more sensitive to the mental health needs of these patients during subsequent COVID-19 waves.

Central nervous system metastases and oligoprogression during treatment with tyrosine kinase inhibitors in oncogene-addicted non-small cell lung cancer: how to treat and when?

Up to 70% of non-small cell lung cancer (NSCLC) patients develop central nervous system (CNS) metastases during the course of their disease, especially those with oncogenic drivers treated with a first-generation tyrosine kinase inhibitor (TKI), because of the relatively poor CNS penetration. CNS metastases are associated with a negative impact on quality of life and survival. As, with the introduction of newer generation TKIs, the survival rates are increasing in this particular population, treatment and/or prevention of CNS metastases becomes even more relevant and the TKI with the best CNS efficacy should be selected. Unfortunately, CNS efficacy data in clinical trials are not fully comparable. Furthermore, oligoprogression to the brain without extracranial progression regularly occurs in the oncogenic driver population and both local therapy and switch of systemic therapy are possible treatment options. However, the best order of systemic and local therapy is still not precisely known. In this narrative review, we will summarize incidence and treatment of CNS metastases in oncogene driven NSCLC, including the optimal treatment of CNS oligometastatic disease (synchronous as well as oligoprogressive).