ObjectivesEndobronchial ultrasound guided transbronchial needle aspiration (EBUS-TBNA) has an important role in the diagnosis and staging of lung cancer. Evaluation of programmed death ligand 1 (PD... Show moreObjectivesEndobronchial ultrasound guided transbronchial needle aspiration (EBUS-TBNA) has an important role in the diagnosis and staging of lung cancer. Evaluation of programmed death ligand 1 (PD-L1) expression and molecular profiling has become standard of care but cytological samples frequently contain insufficient tumor cells. The 22G Acquire needle with Franseen needle tip was developed to perform transbronchial needle biopsy (TBNB) with improved tissue specimens. This study evaluated if the 22G Acquire TBNB needle results in enhanced PD-L1 suitability rate compared to the regular Expect 22G TBNA needle.Methodsin this multi-center randomized clinical trial (Netherlands Trial Register NL7701), patients with suspected (N)SCLC and an indication for mediastinal/hilar staging or lung tumor diagnosis were recruited in five university and general hospitals in the Netherlands, Poland, Italy and Czech Republic. Patients were randomized (1:1) between the two needles. Two blinded reference pathologists evaluated the samples. The primary outcome was PD-L1 suitability rate in patients with a final diagnosis of lung cancer. In case no malignancy was diagnosed, the reference standard was surgical verification or 6 month follow-up.Results154 patients were randomized (n = 76 Acquire TBNB; n = 78 Expect TBNA) of which 92.9% (n = 143) had a final malignant diagnosis. Suitability for PD-L1 analysis was 80.0% (n = 56/70; 95 %CI 0.68–0.94) with the Acquire needle and 76.7% (n = 56/73; 95 %CI 0.65–0.85) with the Expect needle (p = 0.633). Acquire TBNB needle specimens provided more frequent superior quality (65.3% (95 %CI 0.57–0.73) vs 49.4% (95 %CI 0.41–0.57, p = 0.005) and contained more tissue cores (72.0% (95 %CI 0.60-0.81) vs 41.0% (95 %CI 0.31–0.54, p < 0.01). There were no statistically significant differences in tissue adequacy, suitability for molecular analysis and sensitivity for malignancy and N2/N3 disease.ConclusionThe 22G Acquire TBNB needle procured improved quality tissue specimens compared to the Expect TBNA needle but this did not result in an improved the suitability rate for PD-L1 analysis. Show less
Pulmonary function tests (PFTs) play an important role in screening and following-up pulmonary involvement in systemic sclerosis (SSc). However, some patients are not able to perform PFTs due to... Show morePulmonary function tests (PFTs) play an important role in screening and following-up pulmonary involvement in systemic sclerosis (SSc). However, some patients are not able to perform PFTs due to contraindications. In addition, it is unclear how lung function is affected by changes in lung structure in SSc. Therefore, this study aims to explore the potential of automatically estimating PFT results from chest CT scans of SSc patients and how different regions influence the estimation of PFTs. Deep regression networks were developed with transfer learning to estimate PFTs from 316 SSc patients. Segmented lungs and vessels were used to mask the CT images to train the network with different inputs: from entire CT scan, lungs-only to vessels-only. The network trained on entire CT scans with transfer learning achieved an ICC of 0.71, 0.76, 0.80, and 0.81 for the estimation of DLCO, FEV1, FVC and TLC, respectively. The performance of the networks gradually decreased when trained on data from lungs-only and vessels-only. Regression attention maps showed that regions close to large vessels were highlighted more than other regions, and occasionally regions outside the lungs were highlighted. These experiments show that apart from the lungs and large vessels, other regions contribute to PFT estimation. In addition, adding manually designed biomarkers increased the correlation (R) from 0.75, 0.74, 0.82, and 0.83 to 0.81, 0.83, 0.88, and 0.90, respectively. This suggests that that manually designed imaging biomarkers can still contribute to explaining the relation between lung function and structure. Show less
Purpose: Intraoperative identification of lung tumors can be challenging. Tumor-targeted fluorescence-guided surgery can provide surgeons with a tool for real-time intraoperative tumor detection.... Show morePurpose: Intraoperative identification of lung tumors can be challenging. Tumor-targeted fluorescence-guided surgery can provide surgeons with a tool for real-time intraoperative tumor detection. This study evaluated cell surface biomarkers, partially selected via data-driven selection software, as potential targets for fluorescence-guided surgery in non-small cell lung cancers: adenocarcinomas (ADC), adenocarcinomas in situ (AIS), and squamous cell carcinomas (SCC). Procedures: Formalin-fixed paraffin-embedded tissue slides of resection specimens from 15 patients with ADC and 15 patients with SCC were used and compared to healthy tissue. Molecular targets were selected based on two strategies: (1) a data-driven selection using > 275 multi-omics databases, literature, and experimental evidence; and (2) the availability of a fluorescent targeting ligand in advanced stages of clinical development. The selected targets were carbonic anhydrase 9 (CAIX), collagen type XVII alpha 1 chain (collagen XVII), glucose transporter 1 (GLUT1), G protein-coupled receptor 87 (GPR87), transmembrane protease serine 4 (TMPRSS4), carcinoembryonic antigen (CEA), epithelial cell adhesion molecule (EpCAM), folate receptor alpha (FR alpha), integrin alpha v beta 6 (alpha v beta 6), and urokinase-type plasminogen activator receptor (uPAR). Tumor expression of these targets was assessed by immunohistochemical staining. A total immunostaining score (TIS, range 0-12), combining the percentage and intensity of stained cells, was calculated. The most promising targets in ADC were explored in six AIS tissue slides to explore its potential in non-palpable lesions. Results: Statistically significant differences in TIS between healthy lung and tumor tissue for ADC samples were found for CEA, EpCAM, FR alpha, alpha v beta 6, CAIX, collagen XVII, GLUT-1, and TMPRSS4, and of these, CEA, CAIX, and collagen XVII were also found in AIS. For SCC, EpCAM, uPAR, CAIX, collagen XVII, and GLUT-1 were found to be overexpressed. Conclusions: EpCAM, CAIX, and Collagen XVII were identified using concomitant use of data-driven selection software and clinical evidence as promising targets for intraoperative fluorescence imaging for both major subtypes of non-small cell lung carcinomas. Show less
Vaz, S.C.; Adam, J.A.; Bolton, R.C.D.; Vera, P.; Elmpt, W. van; Herrmann, K.; ... ; Geus-Oei, L.F. de 2022
Purpose 2-[F-18]FDG PET/CT is of utmost importance for radiation treatment (RT) planning and response monitoring in lung cancer patients, in both non-small and small cell lung cancer (NSCLC and... Show morePurpose 2-[F-18]FDG PET/CT is of utmost importance for radiation treatment (RT) planning and response monitoring in lung cancer patients, in both non-small and small cell lung cancer (NSCLC and SCLC). This topic has been addressed in guidelines composed by experts within the field of radiation oncology. However, up to present, there is no procedural guideline on this subject, with involvement of the nuclear medicine societies. Methods A literature review was performed, followed by a discussion between a multidisciplinary team of experts in the different fields involved in the RT planning of lung cancer, in order to guide clinical management. The project was led by experts of the two nuclear medicine societies (EANM and SNMMI) and radiation oncology (ESTRO). Results and conclusion This guideline results from a joint and dynamic collaboration between the relevant disciplines for this topic. It provides a worldwide, state of the art, and multidisciplinary guide to 2-[F-18]FDG PET/CT RT planning in NSCLC and SCLC. These practical recommendations describe applicable updates for existing clinical practices, highlight potential flaws, and provide solutions to overcome these as well. Finally, the recent developments considered for future application are also reviewed. Show less
OBJECTIVES: Persistent air leak (PAL; >5days after surgery) is the most common complication after pulmonary resection and associated with prolonged hospital stay and increased morbidity.... Show moreOBJECTIVES: Persistent air leak (PAL; >5days after surgery) is the most common complication after pulmonary resection and associated with prolonged hospital stay and increased morbidity. Literature is contradictory about the prevention and treatment of PAL. Variation is therefore hypothesized. The aim of this study is to understand the variation in the incidence, preventive management and treatment of PAL.METHODS: Data from the Dutch Lung Cancer Audit for Surgery were combined with results of an online survey among Dutch thoracic surgeons. The national incidence of PAL and case-mix corrected between-hospital variation were calculated in patients who underwent an oncological (bi)lobectomy or segmentectomy between January 2012 and December 2018. By multivariable logistic regression, factors associated with PAL were assessed. A survey was designed to assess variation in (preventive) management and analysed using descriptive statistics. Hospital-level associations between management strategies and PAL were assessed by univariable linear regression.RESULTS: Of 12382 included patients, 9.0% had PAL, with a between-hospital range of 2.6-19.3%. Factors associated with PAL were male sex, poor lung function, low body mass index, high American Society of Anesthesiologists (ASA) score, pulmonary comorbidity, upper lobe resection, (bi)lobectomy (vs segmentectomy), right-sided tumour and robotic-assisted thoracic surgery. Perioperative (preventive) management of PAL differed widely between hospitals. When using water seal compared to suction drainage, the average incidence of PAL decreased 2.9%.CONCLUSIONS: In the Netherlands, incidence and perioperative (preventive) management of PAL vary widely. Using water seal instead of suction drainage and increasing awareness are potential measures to reduce this variation. Show less
Popat, S.; Navani, N.; Kerr, K.M.; Smit, E.F.; Batchelor, T.J.P.; Schil, P. van; ... ; McDonald, F. 2020
Non-small cell lung cancer (NSCLC) accounts for approximately one in five cancer-related deaths, and management requires increasingly complex decision making by health care professionals. Many... Show moreNon-small cell lung cancer (NSCLC) accounts for approximately one in five cancer-related deaths, and management requires increasingly complex decision making by health care professionals. Many centers have therefore adopted a multidisciplinary approach to patient care, using the expertise of various specialists to provide the best evidence-based, personalized treatment. However, increasingly complex disease staging, as well as expanded biomarker testing and multimodality management algorithms with novel therapeutics, have driven the need for multifaceted, collaborative decision making to optimally guide the overall treatment process. To keep up with the rapidly evolving treatment landscape, national-level guidelines have been introduced to standardize patient pathways and ensure prompt diagnosis and treatment. Such strategies depend on efficient and effective communication between relevant multidisciplinary team members and have both improved adherence to treatment guidelines and extended patient survival. This article highlights the value of a multidisciplinary approach to diagnosis and staging, treatment decision making, and adverse event management in NSCLC.Implications for Practice This review highlights the value of a multidisciplinary approach to the diagnosis and staging of non-small cell lung cancer (NSCLC) and makes practical suggestions as to how multidisciplinary teams (MDTs) can be best deployed at individual stages of the disease to improve patient outcomes and effectively manage common adverse events. The authors discuss how a collaborative approach, appropriately leveraging the diverse expertise of NSCLC MDT members (including specialist radiation and medical oncologists, chest physicians, pathologists, pulmonologists, surgeons, and nursing staff) can continue to ensure optimal per-patient decision making as treatment options become ever more specialized in the era of biomarker-driven therapeutic strategies. Show less
Ismail, R.K.; Schramel, F.M.N.H.; Dartel, M. van; Hilarius, D.L.; Boer, A. de; Wouters, M.W.J.M.; ... ; Dutch Lung Canc Audit Sci Comm 2020
Objectives: This study describes the initiation of the Dutch Lung Cancer Audit for Lung Oncology (DLCA-L) and reports the first results of three years of clinical auditing.Methods: The initiation,... Show moreObjectives: This study describes the initiation of the Dutch Lung Cancer Audit for Lung Oncology (DLCA-L) and reports the first results of three years of clinical auditing.Methods: The initiation, dataset, and data quality of the DLCA-L are described. For the analyses, all patients registered from 2017 to 2019 were included. Descriptive statistics were used to assess the first outcomes of the DLCA-L, including results from quality indicators, patient- and tumor characteristics, and the real-world use of immunotherapy.Results: The DLCA-L was initiated after the surgery and radiotherapy audit for lung cancer. In total, 33.788 NSCLC patients and 4.293 SCLC patients were registered in the DLCA-L from 2017 to 2019. Seventy-three (97 %) Dutch hospitals participated in the DLCA-L in 2019. The registry became nation-wide in 2020. The data quality improved over the years, with complete cases in 90 % of the NSCLC patients. In total, 15 quality indicators were established based on DLCA-L data to improve processes and clinical outcomes. An example of these quality indicators was brain imaging at diagnosis of stage III NSCLC patients, which increased from 80 % in 2017 to 90 % in 2019 and hospital variation was reduced. The DLCA-L provided data on immunotherapy use in stage IV NSCLC (n = 4.415) patients. These patients had a median age of 67 years and 11 % of the patients had an ECOG PS >= 2. The number of patients treated with immunotherapy in different hospitals varied between 2 patients to 163 patients per hospital.Conclusion: The DLCA-L has become a valuable and complete data source with national coverage in 2020. A high number of registered patients and limited missing data resulted in better insights into hospital processes and outcomes of lung cancer care. Quality indicators were, with success, used to establish improvements and minimize hospital variation. The DLCA-L also provides hospitals real-world information on the use of (systemic) therapies. Show less
With the increasing possibilities and complexity of oncology care, patient care more and more becomes a multidisciplinary responsibility. Therefor it is important to enable integrated... Show moreWith the increasing possibilities and complexity of oncology care, patient care more and more becomes a multidisciplinary responsibility. Therefor it is important to enable integrated multidisciplinary evaluation of this care.Part I of this dissertation provides insight in the development of Clinical Audits to evaluate quality of multidisciplinary oncological care and to catalyse both local and national improvements. Core principles, initiation and development, first results and lessons that can be learned from the development of the first national -multidisciplinary- audits are described. Also, the conditions that must be taken into account to generate meaningful information were examined.Part II is focussed on the variation in multimodal treatment strategies between hospitals. For the latter two pre-eminently multidisciplinary treated types of cancer highlighted: lung and stomach cancer. Various methods were applied using pre-existing audit data, performing an in-depth investigation with in-hospital medical records and a qualitative approach with semi-structured interviews. Show less
Stadt, E.A. van de; Yaqub, M.; Lammertsma, A.A.; Poot, A.J.; Schober, P.R.; Schuit, R.C.; ... ; Hendrikse, N.H. 2020
Introduction: Only a subgroup of non-small cell lung cancer (NSCLC) patients benefit from treatment using epidermal growth factor receptor (EGFR) tyrosine kinase inhibitors (TKI) such as afatinib.... Show moreIntroduction: Only a subgroup of non-small cell lung cancer (NSCLC) patients benefit from treatment using epidermal growth factor receptor (EGFR) tyrosine kinase inhibitors (TKI) such as afatinib. Tumour uptake of [F-18]afatinib using positron emission tomography (PET) may identify those patients that respond to afatinib therapy. Therefore, the aim of this study was to find the optimal tracer kinetic model for quantification of [F-18]afatinib uptake in NSCLC tumours.Methods: [F-18]Afatinib PET scans were performed in 10 NSCLC patients. The first patient was scanned for the purpose of dosimetry. Subsequent patients underwent a 20-min dynamic [O-15]H2O PET scan (370 MBq) followed by a dynamic [F-18]afatinib PET scan (342 +/- 24 MBq) of 60 or 90 min. Using the Akaike information criterion (AIC), three pharmacokinetic plasma input models were evaluated with both metabolite-corrected sampler-based input and image-derived (IDIF) input functions in combination with discrete blood samples. Correlation analysis of arterial on-line sampling versus IDIF was performed. In addition, perfusion dependency and simplified measures were assessed.Results: Ten patients were included. The injected activity of [F-18]afatinib was 341 +/- 37 MBq. Fifteen tumours could be identified in the field of view of the scanner. Based on AIC, tumour kinetics were best described using an irreversible two-tissue compartment model and a metabolite-corrected sampler-based input function (Akaike 50%). Correlation of plasma-based input functions with metabolite-corrected IDIF was very strong (r(2)= 0.93). The preferred simplified uptake parameter was the tumour-to-blood ratio over the 60- to 90-min time interval (TBR60-90). Tumour uptake of [F-18]afatinib was independent of perfusion.Conclusion: The preferred pharmacokinetic model for quantifying [F-18]afatinib uptake in NSCLC tumours was the 2T3K_vb model. TBR(60-90)showed excellent correlation with this model and is the best candidate simplified method. Show less
The global coronavirus disease 2019 pandemic continues to escalate at a rapid pace inundating medical facilities and creating substantial challenges globally. The risk of severe acute respiratory... Show moreThe global coronavirus disease 2019 pandemic continues to escalate at a rapid pace inundating medical facilities and creating substantial challenges globally. The risk of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection in patients with cancer seems to be higher, espe- cially as they are more likely to present with an immuno- compromised condition, either from cancer itself or from the treatments they receive. A major consideration in the delivery of cancer care during the pandemic is to balance the risk of patient exposure and infection with the need to provide effective cancer treatment. Many aspects of the SARS-CoV-2 infection currently remain poorly characterized and even less is known about the course of infection in the context of a patient with cancer. As SARS-CoV-2 is highly contagious, the risk of infection directly affects the cancer patient being treated, other cancer patients in close prox- imity, and health care providers. Infection at any level for patients or providers can cause considerable disruption to even the most effective treatment plans. Lung cancer pa- tients, especially those with reduced lung function and cardiopulmonary comorbidities are more likely to have increased risk and mortality from coronavirus disease 2019 as one of its common manifestations is as an acute respi- ratory illness. The purpose of this manuscript is to present a practical multidisciplinary and international overview to assist in treatment for lung cancer patients during this pandemic, with the caveat that evidence is lacking in many areas. It is expected that firmer recommendations can be developed as more evidence becomes available. (C) 2020 International Association for the Study of Lung Cancer. Published by Elsevier Inc. All rights reserved. Show less
ObjectivesOrganization and governance of national healthcare might play an important role in decision-making and outcomes in patients with lung cancer. Both Denmark and the Netherlands have a high... Show moreObjectivesOrganization and governance of national healthcare might play an important role in decision-making and outcomes in patients with lung cancer. Both Denmark and the Netherlands have a high level of healthcare but a different financial coverage, governance and level of centralization. By using both national databases we analyzed the consequences of these differences on patterns of care and outcomes with a focus on morbidity, mortality and clinical staging.Materials and methodsGeneral numbers on both healthcare systems were requested. All patients who had surgery for lung cancer from 2013 to 2016 were included. Mortality, morbidity and clinical staging were analyzed for patients with NSCLC without metastases, only one operation and no neo-adjuvant therapy.ResultsIn 2016 annual budget as share of gross national product was 10.4% for both countries. In Denmark 4 hospitals performed lung surgery in 2016, compared to 43 hospitals in the Netherlands. We included 4030 Danish and 8286 Dutch patients. In the subgroup 30-day mortality was 1.5% in Denmark compared to 1.9% in the Netherlands. The percentage of patients with a complicated course was 24.4% and 34.8% respectively (p < 0.05). Accuracy between cTNM and pTNM was 53.0% in Denmark and 52.9% in the Netherlands.ConclusionSurgery for lung cancer is at a high level in both countries, reflected by low mortality-rates. Centralization has been implemented successfully in Denmark, which might explain the lower rate of patients with a complicated post-operative course, although different definitions preclude firm conclusions. In both countries correct clinical staging of lung cancer remains a challenge. Show less
Background and purpose: To study the impact of coronal and sagittal views (CSV) on the gross tumor volume (GTV) delineation on CT and matched PET/CT scans in non-small cell lung cancer.Material and... Show moreBackground and purpose: To study the impact of coronal and sagittal views (CSV) on the gross tumor volume (GTV) delineation on CT and matched PET/CT scans in non-small cell lung cancer.Material and methods: GTV delineations were performed by 11 experienced radiation oncologists on CT and PET/CT in 22 patients. Two tumor groups were defined: Group I: Primary tumors surrounded by lung or visceral pleura, without venous invasion, and without large extensions to the chest wall or the mediastinum. Group II: Tumors invading the hilar region, heart, large vessels, pericardium, and the mediastinum and/or associated with atelectasis. Tumor volumes and inter-observers variations (SD) were calculated and compared according to the use of axial view only (AW), axial/coronal/sagittal views (ACSW) and ACSW/PET (ACSWP).Results: CSV were not frequently used (57.4% out of 242 delineations on CT). For group I, ACSW didn't improve significantly mean GTVs. SDs were small on CT and on PET (SD = 0.3 cm). For group II, ACSW had 27-46% smaller observer variation (mean SD = 0.7 cm) than AW (mean SD = 1.1 cm). The smaller observer variation of ACSW users was associated with, on average, a 40% smaller delineated volume (p = 0.038). Mean GTV of ACSWP was 21% larger than mean GTV of ACSW on CT.Conclusions: For smaller lung tumors surrounded by healthy lung tissue the effect of multiple axis delineation is limited. However, application of coronal and sagittal windows is highly beneficial for delineation of more complex tumors, with atelectasis and/or pathological lymph nodes even if PET is used. (C) 2016 Associazione Italiana di Fisica Medica. Published by Elsevier Ltd. All rights reserved. Show less
Grootjans, W.; Hermsen, R.; Heijden, E.H.F.M. van der; Schuurbiers-Siebers, O.C.J.; Visser, E.P.; Oyen, W.J.G.; Geus-Oei, L.F. de 2015
