ABSTRACT
Benign metastasising leiomyomatosis (BML) is a rare disease, predominantly seen in premenopausal women. It poses a diagnostic dilemma and can be misdiagnosed as malignancy. Here we present a case of 41-year-old woman with a previous history of hysterectomy 10 years ago for multiple fibroids. She presented with shortness of breath and chest discomfort. Chest X-ray showed pulmonary infiltrates. She was diagnosed with sarcoidosis and treated with steroids without any improvement. Further investigations including CT scan and bronchoscopy and lavage failed to confirm a diagnosis. Subsequently she underwent video-assisted thoracoscopic surgery and histopathology revealed leiomyomatosis (so-called leiomyomatous hamartomas/benign metastasising leiomyomatosis). Oestrogen and progesterone receptors showed diffuse and strong nuclear staining. The patient was commenced on tamoxifen and a repeat chest X-ray in 8 weeks showed significant improvement. In women of reproductive age with previous hysterectomy and multiple lung nodules on imaging, the diagnosis of BML should be taken into consideration.
Subject(s)
Leiomyomatosis , Lung Neoplasms , Multiple Pulmonary Nodules , Uterine Neoplasms , Female , Humans , Adult , Leiomyomatosis/surgery , Uterine Neoplasms/surgery , Lung Neoplasms/diagnosis , Hysterectomy , Multiple Pulmonary Nodules/diagnosis , Multiple Pulmonary Nodules/surgeryABSTRACT
Early detection of lung cancer is a crucial factor for increasing its survival rates among the detected patients. The presence of carbonyl volatile organic compounds (VOCs) in exhaled breath can play a vital role in early detection of lung cancer. Identifying these VOC markers in breath samples through innovative statistical and machine learning techniques is an important task in lung cancer research. Therefore, we proposed an experimental approach for generation of VOC molecular concentration data using unique silicon microreactor technology and further identification and characterization of key relevant VOCs important for lung cancer detection through statistical and machine learning algorithms. We reported several informative VOCs and tested their effectiveness in multi-group classification of patients. Our analytical results indicated that seven key VOCs, including C4H8O2, C13H22O, C11H22O, C2H4O2, C7H14O, C6H12O, and C5H8O, are sufficient to detect the lung cancer patients with higher mean classification accuracy (92%) and lower standard error (0.03) compared to other combinations. In other words, the molecular concentrations of these VOCs in exhaled breath samples were able to discriminate the patients with lung cancer (n = 156) from the healthy smoker and nonsmoker controls (n = 193) and patients with benign pulmonary nodules (n = 65). The quantification of carbonyl VOC profiles from breath samples and identification of crucial VOCs through our experimental approach paves the way forward for non-invasive lung cancer detection. Further, our experimental and analytical approach of VOC quantitative analysis in breath samples may be extended to other diseases, including COVID-19 detection.
Subject(s)
Body Fluids , COVID-19 , Lung Neoplasms , Multiple Pulmonary Nodules , Volatile Organic Compounds , Humans , Lung Neoplasms/diagnosisABSTRACT
INTRODUCTION: The COVID-19 pandemic has disrupted many aspects of clinical practice in oncology, particularly regarding early cancer diagnosis, sparking public health concerns that possible delays could increase the proportion of patients diagnosed at advanced stages. In 2009, a cancer fast-track program (CFP) was implemented at the Clinico-Malvarrosa Health Department in Valencia, Spain with the aim of shortening waiting times between suspected cancer symptoms, diagnosis and therapy initiation. OBJECTIVES: The study aimed to explore the effects of the COVID-19 pandemic on our cancer diagnosis fast-track program. METHODS: The program workflow (patients included and time periods) was analysed from the beginning of the state of alarm on March 16th, 2020 until March 15th, 2021. Data was compared with data from the same period of time from the year before (2019). RESULTS: During the pandemic year, 975 suspected cancer cases were submitted to the CFP. The number of submissions only decreased during times of highest COVID-19 incidence and stricter lockdown, and overall, referrals were slightly higher than in the previous 2 years. Cancer diagnosis was confirmed in 197 (24.1%) cases, among which 33% were urological, 23% breast, 16% gastrointestinal and 9% lung cancer. The median time from referral to specialist appointment was 13 days and diagnosis was reached at a median of 18 days. In confirmed cancer cases, treatment was started at around 30 days from time of diagnosis. In total, 61% of cancer disease was detected at early stage, 20% at locally advanced stage, and 19% at advanced stage, displaying time frames and case proportions similar to pre-pandemic years. CONCLUSIONS: Our program has been able to maintain normal flow and efficacy despite the challenges of the current pandemic, and has proven a reliable tool to help primary care physicians referring suspected cancer patients.
Subject(s)
COVID-19 , Lung Neoplasms , Humans , COVID-19/epidemiology , Pandemics , Communicable Disease Control , Referral and Consultation , Lung Neoplasms/diagnosisABSTRACT
AIM: The purpose of this article is to examine disparities in the impact of the COVID-19 pandemic on access to lung cancer diagnosis and access to clinical services between Maori and non-Maori. METHODS: Using national-level data, we examined age-standardised lung cancer registrations, diagnostic procedures (bronchoscopy) and lung surgeries separately by ethnic group for the years 2018-2020, as well as patterns of stage of diagnosis. RESULTS: We found a trend toward a reduction in rates of lung cancer registration in Maori (but not non-Maori/non-Pacific) New Zealanders in 2020 compared to 2018 and 2019, but no apparent shift in the distribution of stage at diagnosis. We found a trend toward a reduction in rates of bronchoscopy for both Maori and non-Maori/non-Pacific patients, with the largest reduction observed for Maori. Rates of lung cancer surgery appeared to have reduced for Maori patients, although this was based on a small number of procedures. CONCLUSIONS: We observed disparities between Maori and non-Maori/non-Pacific patients in lung cancer registration and bronchoscopy as a result of the COVID-19 pandemic.
Subject(s)
COVID-19 , Lung Neoplasms , COVID-19/epidemiology , Humans , Lung , Lung Neoplasms/diagnosis , Lung Neoplasms/epidemiology , Lung Neoplasms/surgery , Native Hawaiian or Other Pacific Islander , New Zealand/epidemiology , PandemicsABSTRACT
Lung cancer, considered one of the most common causes of cancer deaths worldwide, is a complex disease with its own challenges. The coronavirus disease 2019 (COVID-19) pandemic, caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), compounded these challenges and forced the medical healthcare system to alter its approach to lung cancer. This narrative review aims to identify the effect of the COVID-19 pandemic on lung cancer screening, diagnosis and management. During this public health crisis, various medical societies have worked on developing guidelines to protect patients with lung cancer from the deleterious effects of SARS-CoV-2 infection, as well as from the complications imposed by treatment delays. The different therapeutic approaches, such as surgery, radiation oncology and immune checkpoint inhibitor therapy, along with the latest international recommendations, will be discussed. Protecting patients with lung cancer from COVID-19 complications, while avoiding barriers in treatment delays, has brought unique challenges to healthcare facilities. Prompt modifications to guidelines, and constant evaluation of their efficacy, are thus needed.
Subject(s)
COVID-19 , Lung Neoplasms , COVID-19 Testing , Early Detection of Cancer , Humans , Immune Checkpoint Inhibitors , Lung Neoplasms/diagnosis , Lung Neoplasms/epidemiology , Lung Neoplasms/therapy , Pandemics/prevention & control , SARS-CoV-2ABSTRACT
We sought to compare the clinical presentation and prognosis of patients with lung cancer and confirmed COVID-19 infection to those with negative RT-PCR SARS-CoV-2 results. We included patients with confirmed lung cancer and suspected COVID-19 who presented to the emergency department. The primary outcome was in-hospital mortality and secondary outcomes included admission to intensive care unit (ICU) or mechanical ventilation. We analyzed the characteristics according to RT-PCR results and primary outcome. We constructed a logistic regression for each RT-PCR result group to find potential predictors of the primary outcome. Among 110 individuals with confirmed lung cancer (65±9 years, 51% male), 38 patients had positive RT-PCR and 72 patients had negative RT-PCR. There was no difference between groups for any clinical characteristic or comorbidities though individuals with confirmed COVID-19 had higher functionality in the ECOG scale. Leucocytes and lymphocytes were lower in individuals with positive tests. The primary outcome occurred in 58 (53%) individuals, 37 (34%) were admitted to the ICU, and 29 (26%) required mechanical ventilation. Although mortality was similar between the two groups, individuals with confirmed COVID-19 were significantly more likely to be admitted to the ICU or receive mechanical ventilation. Only lower lymphocytes and higher CRP were significantly associated with higher mortality. The clinical presentation of COVID-19 in lung cancer is not sufficient to identify higher or lower probability groups among symptomatic individuals, the overall mortality is high irrespective of RT-PCR results, and lymphopenia on admission was associated with the diagnosis and prognosis for COVID-19.
Subject(s)
COVID-19 , Lung Neoplasms , COVID-19/diagnosis , Female , Hospital Mortality , Hospitals , Humans , Lung Neoplasms/diagnosis , Male , SARS-CoV-2ABSTRACT
BACKGROUND: Pulmonary blastoma (PB) comprises a rare heterogeneous group of lung tumours typically containing immature epithelial and mesenchymal structures that imitate the embryonic lung tissue and extremely rarely occurs during pregnancy. Although cough and haemoptysis are the most common PB symptoms, they usually indicate other serious pregnancy-related complications. CASE PRESENTATION: The article presents the unusual case of a 22-year-old pregnant woman diagnosed with PB during pregnancy. CONCLUSIONS: PB is characterized by poor prognosis and patients' outcome relies on a rapid diagnosis. Surgery remains the most common and effective treatment. Due to the extreme rarity, the literature contains only single mentions of PB in pregnancy, thus its impact on the course of pregnancy and the developing fetus remains unknown.
Subject(s)
Lung Neoplasms/diagnosis , Pulmonary Blastoma/diagnosis , Cesarean Section , Chemotherapy, Adjuvant/methods , Female , Humans , Infant, Newborn , Lung Neoplasms/drug therapy , Lung Neoplasms/pathology , Lung Neoplasms/surgery , Male , Pregnancy , Pulmonary Blastoma/drug therapy , Pulmonary Blastoma/pathology , Pulmonary Blastoma/surgery , Treatment Outcome , Young AdultABSTRACT
BACKGROUND: It is believed that the cessation of normative cancer care services during the COVID-19 pandemic may be resulting in pathologic upstaging and higher long-term mortality rates. We aimed to understand how the pandemic has affected our patients diagnosed with non-small-cell lung cancer (NSCLC). METHODS: We conducted a single-centre retrospective analysis to assess how the COVID-19 pandemic has affected patient referrals, pathologic stage of NSCLC, mortality rates and surgical procedures at our cancer care centre in Ontario, Canada. At our centre, physicians advocated for and followed recommendations that operations in cancer patients should be among the last procedures to be delayed. Patients were included if they were aged 18 years or older, were not receiving palliative care, and had been screened, diagnosed and treated for NSCLC (primary tumours). We compared outcomes between a prepandemic period (January 2019 to February 2020) and a period during the pandemic (March 2020 to February 2021). RESULTS: A total of 695 patients were included for statistical analysis, of whom 650 underwent surgery. There was no statistically significant difference in any of the outcomes of interest between patients seen before (n = 330) and during (n = 320) the pandemic. CONCLUSION: Cancer care services at our centre were maintained during the COVID-19 pandemic, and potential adverse effects on prognosis and survival that have been seen in other countries were avoided. The results inform health care providers how the effects of future pandemics can be blunted by using proactive preservative strategies and surgeon advocacy.
Subject(s)
COVID-19 , Carcinoma, Non-Small-Cell Lung , Lung Neoplasms , COVID-19/epidemiology , Carcinoma, Non-Small-Cell Lung/surgery , Humans , Lung Neoplasms/diagnosis , Lung Neoplasms/surgery , Ontario/epidemiology , Pandemics , Retrospective Studies , SARS-CoV-2ABSTRACT
Lung cancer is the single biggest cause of cancer death. The diagnostic pathway can be complex, including specialist cancer diagnostics that are not performed at every hospital. One such example is endobronchial ultrasound (EBUS), a day-case bronchoscopic procedure used for nodal staging and tissue diagnosis. In this proof-of-concept pilot in Greater Manchester, we tested a novel digital EBUS booking platform. This platform was accessible across multiple acute care trusts and provided visibility of all available EBUS appointments, allowing referring teams to book directly into the appropriate slot. During a 6-month pilot, 193 EBUS procedures were booked through this new single-queue platform. The median waiting times reduced by 2 days from 9 to 7 days (22% reduction and saving approximately 386 days in total) and reduced variation in waiting times by 1 day from 5 to 4 days (20% reduction). 98% of patients who completed an experience of care survey felt the process was 'very well' or 'well' organised and 77% felt the most important factor in deciding where to have their EBUS was the earliest possible appointment regardless of travel. This proof-of-concept pilot has shown improvements in cancer waiting times with significant future potential in delivering specialist cancer diagnostics.
Subject(s)
COVID-19 , Lung Neoplasms , Bronchoscopy , Humans , Lung Neoplasms/diagnosis , Lung Neoplasms/pathology , Neoplasm Staging , PandemicsABSTRACT
BACKGROUND: COVID-19 pandemic responses impacted behaviour and health services. We estimated the impact on incidence, stage and healthcare pathway to diagnosis for female breast, colorectal and non-small cell lung cancers at population level in Wales. METHODS: Cancer e-record and hospital admission data linkage identified adult cases, stage and healthcare pathway to diagnosis (population ~2.5 million). Using multivariate Poisson regressions, we compared 2019 and 2020 counts and estimated incidence rate ratios (IRR). RESULTS: Cases decreased 15.2% (n = -1011) overall. Female breast annual IRR was 0.81 (95% CI: 0.76-0.86, p < 0.001), colorectal 0.80 (95% CI: 0.79-0.81, p < 0.001) and non-small cell lung 0.91 (95% CI: 0.90-0.92, p < 0.001). Decreases were largest in 50-69 year olds for female breast and 80+ year olds for all cancers. Stage I female breast cancer declined 41.6%, but unknown stage increased 55.8%. Colorectal stages I-IV declined (range 26.6-29.9%), while unknown stage increased 803.6%. Colorectal Q2-2020 GP-urgent suspected cancer diagnoses decreased 50.0%, and 53.9% for non-small cell lung cancer. Annual screen-detected female breast and colorectal cancers fell 47.8% and 13.3%, respectively. Non-smal -cell lung cancer emergency presentation diagnoses increased 9.5% (Q2-2020) and 16.3% (Q3-2020). CONCLUSION: Significantly fewer cases of three common cancers were diagnosed in 2020. Detrimental impacts on outcomes varied between cancers. Ongoing surveillance with health service optimisation will be needed to mitigate impacts.
Subject(s)
Breast Neoplasms , COVID-19 , Carcinoma, Non-Small-Cell Lung , Colorectal Neoplasms , Lung Neoplasms , Adult , Breast Neoplasms/diagnosis , Breast Neoplasms/epidemiology , COVID-19/epidemiology , COVID-19 Testing , Carcinoma, Non-Small-Cell Lung/diagnosis , Carcinoma, Non-Small-Cell Lung/epidemiology , Colorectal Neoplasms/diagnosis , Colorectal Neoplasms/epidemiology , Delivery of Health Care , Female , Humans , Incidence , Lung Neoplasms/diagnosis , Lung Neoplasms/epidemiology , Pandemics , SARS-CoV-2 , Wales/epidemiologyABSTRACT
BACKGROUND: Lung cancer is the leading cause of cancer incidence and mortality worldwide. Prompt patient help-seeking for signs and symptoms suggestive of lung cancer is crucial for early referral, diagnosis, and survivorship. However, individuals with potential lung cancer symptoms tend to delay help-seeking. This qualitative study explored perceived barriers to patient help-seeking and strategies to enhance help-seeking for lung cancer warning signs and symptoms from the perspective of primary healthcare professionals. METHODS: Semi-structured focus groups and individual interviews were conducted with 36 primary healthcare professionals. Data were collected via videoconferencing. Inductive thematic analysis was conducted. RESULTS: The following two themes were created from the data: (i) perceived barriers to patient help-seeking for signs and symptoms of concern and (ii) facilitating early patient presentation for signs and symptoms of concern. Some participants believed that the high cost of a general practitioner visit, long waiting times, and previous bad experiences with the healthcare system would deter patients from seeking help for symptoms of lung cancer. Perceived patient-related barriers to help-seeking related to the different emotions associated with a potential cancer diagnosis as well as stigma, embarrassment, and guilt felt by smokers. Sociodemographic factors such as drug use, homelessness, living in rural areas, and being male and older were also perceived to impede patient help-seeking. The negative impact of the COVID-19 pandemic on cancer help-seeking also featured strongly. Participants recommended several strategies to enable patients to seek help for symptoms of concern including targeted educational campaigns focussing on symptoms (e.g., cough) rather than behaviours (e.g., smoking), accessible and free health services, and using patients' support networks. CONCLUSIONS: Patient-related and healthcare system-related barriers to help-seeking for lung cancer warning signs and symptoms include cost of healthcare, cancer fear, and various sociodemographic factors. Participants suggested that increased awareness and early patient help-seeking for symptoms of concern could be achieved through targeted patient education, national campaigns, the use of community support networks, and free and accessible targeted screening services.
Subject(s)
COVID-19 , Lung Neoplasms , Female , Humans , Lung Neoplasms/diagnosis , Male , Pandemics , Patient Acceptance of Health Care/psychology , Primary Health CareABSTRACT
OBJECTIVE: The impact of the coronavirus disease 2019 (COVID-19) pandemic on cancer care remains a concern. We aimed to evaluate access to diagnosis and treatment for lung cancer during the pandemic. METHODS: Times (days) from lung cancer symptom onset or referral to visit (pre-visit time), from visit to diagnosis (pre-diagnosis time), and from diagnosis to treatment (pre-treatment time) during the pandemic were compared with the times during the pre-pandemic period. RESULTS: The number of patients diagnosed with lung cancer was 82 and 75 during the pandemic and pre-pandemic periods, respectively. The percentage of patients with advanced-stage cancer was higher (65.9% vs. 46.7%), the percentage of patients treated with surgery was lower and the percentage treated with medication was higher (24.4% vs. 41.3% and 57.3% vs. 40.0%, respectively), the pre-visit time was longer (28.2 vs. 11.4 days), and the pre-treatment time for surgery was longer (67.3 vs. 45.6 days) during the pandemic compared with the times during the pre-pandemic period, respectively. CONCLUSIONS: The COVID-19 pandemic resulted in delayed diagnoses, which could have led to patients being diagnosed with advanced disease. The pandemic also resulted in delayed therapy owing to the requirement for available intensive care unit beds for emergencies, including surgery.
Subject(s)
COVID-19 , Lung Neoplasms , Humans , Japan/epidemiology , Lung Neoplasms/diagnosis , Lung Neoplasms/epidemiology , Lung Neoplasms/therapy , Pandemics , Retrospective Studies , SARS-CoV-2ABSTRACT
INTRODUCTION: Patients with thoracic malignancies are at increased risk for mortality from coronavirus disease 2019 (COVID-19), and a large number of intertwined prognostic variables have been identified so far. METHODS: Capitalizing data from the Thoracic Cancers International COVID-19 Collaboration (TERAVOLT) registry, a global study created with the aim of describing the impact of COVID-19 in patients with thoracic malignancies, we used a clustering approach, a fast-backward step-down selection procedure, and a tree-based model to screen and optimize a broad panel of demographics and clinical COVID-19 and cancer characteristics. RESULTS: As of April 15, 2021, a total of 1491 consecutive eligible patients from 18 countries were included in the analysis. With a mean observation period of 42 days, 361 events were reported with an all-cause case fatality rate of 24.2%. The clustering procedure screened 73 covariates in 13 clusters. A further multivariable logistic regression for the association between clusters and death was performed, resulting in five clusters significantly associated with the outcome. The fast-backward step-down selection procedure then identified the following seven major determinants of death: Eastern Cooperative Oncology Group-performance status (ECOG-PS) (OR = 2.47, 1.87-3.26), neutrophil count (OR = 2.46, 1.76-3.44), serum procalcitonin (OR = 2.37, 1.64-3.43), development of pneumonia (OR = 1.95, 1.48-2.58), C-reactive protein (OR = 1.90, 1.43-2.51), tumor stage at COVID-19 diagnosis (OR = 1.97, 1.46-2.66), and age (OR = 1.71, 1.29-2.26). The receiver operating characteristic analysis for death of the selected model confirmed its diagnostic ability (area under the receiver operating curve = 0.78, 95% confidence interval: 0.75-0.81). The nomogram was able to classify the COVID-19 mortality in an interval ranging from 8% to 90%, and the tree-based model recognized ECOG-PS, neutrophil count, and c-reactive protein as the major determinants of prognosis. CONCLUSIONS: From 73 variables analyzed, seven major determinants of death have been identified. Poor ECOG-PS was found to have the strongest association with poor outcome from COVID-19. With our analysis, we provide clinicians with a definitive prognostication system to help determine the risk of mortality for patients with thoracic malignancies and COVID-19.
Subject(s)
COVID-19 , Lung Neoplasms , Thoracic Neoplasms , C-Reactive Protein , COVID-19 Testing , Humans , Lung Neoplasms/diagnosis , Prognosis , Registries , Retrospective Studies , SARS-CoV-2 , Thoracic Neoplasms/diagnosisABSTRACT
By the beginning of the global pandemic, SARS-CoV-2 infection has dramatically impacted on oncology daily practice. In the current oncological landscape, where immunotherapy has revolutionized the treatment of several malignancies, distinguishing between COVID-19 and immune-mediated pneumonitis can be hard because of shared clinical, radiological and pathological features. Indeed, their common mechanism of aberrant inflammation could lead to a mutual and amplifying interaction.We describe the case of a 65-year-old patient affected by metastatic squamous head and neck cancer and candidate to an experimental therapy including an anti-PD-L1 agent. COVID-19 ground-glass opacities under resolution were an incidental finding during screening procedures and worsened after starting immunotherapy. The diagnostic work-up was consistent with ICIs-related pneumonia and it is conceivable that lung injury by SARS-CoV-2 has acted as an inflammatory primer for the development of the immune-related adverse event.Patients recovered from COVID-19 starting ICIs could be at greater risk of recall immune-mediated pneumonitis. Nasopharyngeal swab and chest CT scan are recommended before starting immunotherapy. The awareness of the phenomenon could allow an easier interpretation of radiological changes under treatment and a faster diagnostic work-up to resume ICIs. In the presence of clinical benefit, for asymptomatic ICIs-related pneumonia a watchful-waiting approach and immunotherapy prosecution are suggested.
Subject(s)
COVID-19/diagnosis , Lung Neoplasms/diagnosis , Pneumonia/diagnosis , Squamous Cell Carcinoma of Head and Neck/diagnosis , Aged , B7-H1 Antigen/antagonists & inhibitors , B7-H1 Antigen/immunology , COVID-19/immunology , COVID-19/virology , Diagnosis, Differential , Humans , Immune Checkpoint Inhibitors/administration & dosage , Immune Checkpoint Inhibitors/adverse effects , Immunotherapy/adverse effects , Lung Injury/diagnosis , Lung Injury/diagnostic imaging , Lung Injury/pathology , Lung Injury/virology , Lung Neoplasms/drug therapy , Lung Neoplasms/secondary , Lung Neoplasms/virology , Male , Nasopharynx/metabolism , Nasopharynx/pathology , Neoplasm Metastasis , Pandemics , Pneumonia/drug therapy , Pneumonia/immunology , Pneumonia/virology , SARS-CoV-2/pathogenicity , Squamous Cell Carcinoma of Head and Neck/drug therapy , Squamous Cell Carcinoma of Head and Neck/immunology , Squamous Cell Carcinoma of Head and Neck/virology , COVID-19 Drug TreatmentABSTRACT
This study investigated the clinical management of non small cell lung cancer (NSCLC) patients during the first wave of coronavirus disease 2019 (COVID-19) outbreak in Italy. A 29-questions survey was sent to 95 Italian thoracic oncologists, with 77 % of them declaring significant changes in the outpatients management and treatment. The results of this survey pointed out a significant delay of lung cancer diagnosis along with a relevant reduction of patients' accrual within clinical trials. Telemedicine emerged as a valid support for patient-healthcare interactions. Therapeutic indications followed the guidelines for adjuvant chemotherapy and concurrent chemo-radiation. Clinical indications to first-line therapies were largely confirmed, while major changes regarded the selection of second line treatment options as well as the management of elderly population. This work may represent a valid source of information to improve the clinical management of NSCLC patients during second wave of COVID-19 pandemic.
Subject(s)
COVID-19 , Carcinoma, Non-Small-Cell Lung , Lung Neoplasms , Aged , COVID-19/epidemiology , Carcinoma, Non-Small-Cell Lung/diagnosis , Carcinoma, Non-Small-Cell Lung/epidemiology , Carcinoma, Non-Small-Cell Lung/therapy , Chemoradiotherapy , Humans , Italy/epidemiology , Lung Neoplasms/diagnosis , Lung Neoplasms/epidemiology , Lung Neoplasms/therapy , Pandemics , SARS-CoV-2 , Surveys and QuestionnairesSubject(s)
COVID-19 , Early Detection of Cancer , Infection Control/methods , Lung Neoplasms/diagnosis , Tomography, X-Ray Computed/methods , COVID-19/epidemiology , COVID-19/prevention & control , Change Management , Early Detection of Cancer/methods , Early Detection of Cancer/statistics & numerical data , Humans , Lung Neoplasms/epidemiology , Massachusetts/epidemiology , Organizational Innovation , Program Development , Program Evaluation , SARS-CoV-2ABSTRACT
BACKGROUND: Low-dose CT (LDCT) screening reduces lung cancer mortality by at least 20%. The COVID-19 pandemic required an unprecedented shutdown in our institutional LDCT program. The purpose of this study was to examine the impact of COVID-19 on lung cancer screening and subsequent cancer diagnosis. STUDY DESIGN: We analyzed our prospective institutional LDCT screening database, which began in 2012. In all, 2,153 patients have participated. Monthly mean number of LDCTs were compared between baseline (January 2017 to February 2020) and COVID-19 periods (March 2020 to July 2020). RESULTS: LDCT was suspended on March 13, 2020 and 818 screening visits were cancelled. Phased reopening began on May 5, 2020 and full opening on June 1, 2020. Total monthly mean ± SD LDCTs (146 ± 31 vs 39 ± 40; p < 0.01) and new patient monthly LDCTs (56 ± 14 vs 15 ± 17; p < 0.01) were significantly decreased during the COVID-19 period. New patient monthly LDCTs have remained low despite resuming full operations. Three- and 6-month interval follow-up LDCTs were prioritized and were significantly increased compared with baseline (11 ± 4 vs 30 ± 4; p < 0.01). The "no-show" rate was significantly increased from baseline (15% vs 40%; p < 0.04). Most concerning, the percentage of patients with lung nodules suspicious for malignancy (Lung-RADS 4) were significantly increased after screenings resumed (8% vs 29%; p < 0.01). CONCLUSIONS: COVID-19 caused significant disruption in lung cancer screening, leading to a decrease in new patients screened and an increased proportion of nodules suspicious for malignancy once screening resumed. Using lung cancer and the LDCT screening program as a model, this early analysis showed the unrecognized consequences related to the pandemic for screening programs and cancer care.