Women screened for breast cancer are dying from lung cancer: An opportunity to improve lung cancer screening in a mammography population

2021 ◽  
pp. 096914132110130
Author(s):  
Kim L Sandler ◽  
Diane N Haddad ◽  
Alexis B Paulson ◽  
Travis J Osterman ◽  
Carolyn C Scott ◽  
...  

Objective Lung cancer is the leading cancer killer in women, resulting in more deaths than breast, cervical and ovarian cancer combined. Screening for lung cancer has been shown to significantly reduce mortality, with some evidence that women may have a greater benefit. This study demonstrates that a population of women being screened for breast cancer may greatly benefit from screening for lung cancer. Methods Data from 18,040 women who were screened for breast cancer in 2015 at two imaging facilities that also performed lung screening were reviewed. A natural language-processing algorithm followed by a manual chart review identified women eligible for lung cancer screening by U.S. Preventive Services Task Force (USPSTF) criteria. A chart review of these eligible women was performed to determine subsequent enrollment in a lung screening program (2016–2019), current screening eligibility, cancer diagnoses and cancer-related outcomes. Results Natural language processing identified 685 women undergoing screening mammography who were also potentially eligible for lung screening based on age and smoking history. Manual chart review confirmed 251 were eligible under USPSTF criteria. By June 2019, 63 (25%) had enrolled in lung screening, of which three were diagnosed with screening-detected lung cancer resulting in zero deaths. Of 188 not screened, seven were diagnosed with lung cancer resulting in five deaths by study end. Four women received a diagnosis of breast cancer with no deaths. Conclusion Women screened for breast cancer are dying from lung cancer. We must capitalize on reducing barriers to improve screening for lung cancer among high-risk women.

2019 ◽  
Vol 37 (15_suppl) ◽  
pp. e13060-e13060
Author(s):  
Thuy Thanh Thi Le ◽  
Helen Johnson-wall ◽  
Katherine Hu

e13060 Background: Lung cancer is the leading cause of overall cancer-related deaths in both men and women in the United States. In 2009, cancer surpassed cardiovascular disease as the leading cause of death in North Carolina. Between 2010-2014, the age-adjusted incidence rate for lung and bronchus cancers in North Carolina was 70 per 100000 persons per year. Between 2010-2014, the age-adjusted mortality rate for lung and bronchus cancers in North Carolina was 50.6 per 100000 persons per year. It is documented that about half of lung and bronchus cancer cases were diagnosed at the distant stage and about 60 percent of deaths occurred in adults ages 65-84. In 2011, 32 percent of cancer death was from lung/bronchus cancer in Robeson County. A chart review in a rural primary care clinic identified patients not being appropriately screened for targeted intervention. Methods: Our retrospective chart review at Lumberton Medical Clinic, a rural outpatient Internal Medicine Clinic, reviewed 91 records from adults aged 55 to 80 years old during the timeframe of September 2017 through August 2018. Patients with a known history of lung cancer were excluded from this study. Patient records were assessed for compliance with USPTF lung cancer screening guidelines. USPTF recommends adults aged 55 to 80 who have a 30 pack-year smoking history and currently smoke or have quit within the past 15 years to have an annual low-dose computed tomography of the chest to screen for lung cancer. Results: The review showed that during the timeframe studied, 42% of patients who qualified received appropriate screening, while 58% of those qualified were found to have no documentation of screening. Following data analysis, intervention to increase screening rates has been initiated. This involves provider education, posters, and individualized letters mailed to patients found deficient during the study. The success of this direct patient outreach effort will be measured over six months. Conclusions: It is the responsibility of providers to emphasize the importance of proper lung cancer screening. This retrospective review found that a large percentage (58%) of adults were not being adequately screened in our rural clinic. Direct outreach is underway to increase compliance rates in this high-risk population served by our rural clinic.


2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 183-183
Author(s):  
Javad Razjouyan ◽  
Jennifer Freytag ◽  
Edward Odom ◽  
Lilian Dindo ◽  
Aanand Naik

Abstract Patient Priorities Care (PPC) is a model of care that aligns health care recommendations with priorities of older adults with multiple chronic conditions. Social workers (SW), after online training, document PPC in the patient’s electronic health record (EHR). Our goal is to identify free-text notes with PPC language using a natural language processing (NLP) model and to measure PPC adoption and effect on long term services and support (LTSS) use. Free-text notes from the EHR produced by trained SWs passed through a hybrid NLP model that utilized rule-based and statistical machine learning. NLP accuracy was validated against chart review. Patients who received PPC were propensity matched with patients not receiving PPC (control) on age, gender, BMI, Charlson comorbidity index, facility and SW. The change in LTSS utilization 6-month intervals were compared by groups with univariate analysis. Chart review indicated that 491 notes out of 689 had PPC language and the NLP model reached to precision of 0.85, a recall of 0.90, an F1 of 0.87, and an accuracy of 0.91. Within group analysis shows that intervention group used LTSS 1.8 times more in the 6 months after the encounter compared to 6 months prior. Between group analysis shows that intervention group has significant higher number of LTSS utilization (p=0.012). An automated NLP model can be used to reliably measure the adaptation of PPC by SW. PPC seems to encourage use of LTSS that may delay time to long term care placement.


2021 ◽  
Vol 27 ◽  
pp. 107602962110131
Author(s):  
Bela Woller ◽  
Austin Daw ◽  
Valerie Aston ◽  
Jim Lloyd ◽  
Greg Snow ◽  
...  

Real-time identification of venous thromboembolism (VTE), defined as deep vein thrombosis (DVT) and pulmonary embolism (PE), can inform a healthcare organization’s understanding of these events and be used to improve care. In a former publication, we reported the performance of an electronic medical record (EMR) interrogation tool that employs natural language processing (NLP) of imaging studies for the diagnosis of venous thromboembolism. Because we transitioned from the legacy electronic medical record to the Cerner product, iCentra, we now report the operating characteristics of the NLP EMR interrogation tool in the new EMR environment. Two hundred randomly selected patient encounters for which the imaging report assessed by NLP that revealed VTE was present were reviewed. These included one hundred imaging studies for which PE was identified. These included computed tomography pulmonary angiography—CTPA, ventilation perfusion—V/Q scan, and CT angiography of the chest/ abdomen/pelvis. One hundred randomly selected comprehensive ultrasound (CUS) that identified DVT were also obtained. For comparison, one hundred patient encounters in which PE was suspected and imaging was negative for PE (CTPA or V/Q) and 100 cases of suspected DVT with negative CUS as reported by NLP were also selected. Manual chart review of the 400 charts was performed and we report the sensitivity, specificity, positive and negative predictive values of NLP compared with manual chart review. NLP and manual review agreed on the presence of PE in 99 of 100 cases, the presence of DVT in 96 of 100 cases, the absence of PE in 99 of 100 cases and the absence of DVT in all 100 cases. When compared with manual chart review, NLP interrogation of CUS, CTPA, CT angiography of the chest, and V/Q scan yielded a sensitivity = 93.3%, specificity = 99.6%, positive predictive value = 97.1%, and negative predictive value = 99%.


2021 ◽  
pp. 003335492097171
Author(s):  
Lesley Watson ◽  
Megan M. Cotter ◽  
Shauna Shafer ◽  
Kara Neloms ◽  
Robert A. Smith ◽  
...  

Using low-dose computed tomography (LDCT) to screen for lung cancer is associated with improved outcomes among eligible current and former smokers (ie, aged 55-77, at least 30-pack–year smoking history, current smoker or former smoker who quit within the past 15 years). However, the overall uptake of LDCT is low, especially in health care settings with limited personnel and financial resources. To increase access to lung cancer screening services, the American Cancer Society partnered with 2 federally qualified health centers (FQHCs) in Tennessee and West Virginia to conduct a pilot project focused on developing and refining the LDCT screening referral processes and practices. Each FQHC was required to partner with an American College of Radiology–designated lung cancer screening center in its area to ensure high-quality patient care. The pilot project was conducted in 2 phases: 6 months of capacity building (January–June 2016) followed by 2 years of implementation (July 2016–June 2018). One site created a sustainable LDCT referral program, and the other site encountered numerous barriers and failed to overcome them. This case study highlights implementation barriers and factors associated with success and improved outcomes in LDCT screening.


2018 ◽  
Vol 13 (10) ◽  
pp. S772
Author(s):  
X. Sui ◽  
T. Liu ◽  
Q. Huang ◽  
Y. Hou ◽  
Y. Wang ◽  
...  

2018 ◽  
Vol 4 (3) ◽  
pp. 00001-2018 ◽  
Author(s):  
Tanel Laisaar ◽  
Bruno Sarana ◽  
Indrek Benno ◽  
Kaja-Triin Laisaar

Since publication of the National Lung Cancer Screening Trial (NLST) results early lung cancer detection has been widely studied, targeting individuals based on smoking history and age. However, over recent decades several changes in lung cancer epidemiology, including risk factors, have taken place. The aim of the current study was to explore smoking prevalence among lung cancer patients who had been treated surgically or undergone a diagnostic operation and whether these patients would have met the NLST inclusion criteria.All patients operated on for lung cancer in a university hospital in Estonia between 2009 and 2015 were included. Data were collected from hospital records.426 patients were operated on for lung cancer, with smoking history properly documented in 327 patients (87 females; median age 67 years). 170 (52%) patients were smokers, 97 (30%) patients were ex-smokers and 60 (18%) patients were nonsmokers. The proportion of females among smokers was 15%, among ex-smokers was 9% and among nonsmokers was 87%. 107 of our patients would not have met the NLST age criteria and 128 of our patients would not have met the NLST smoking criteria. In total, 183 patients (56% (79% of females and 48% of males)) would not have met the NLST inclusion criteria.Only half of surgically treated lung cancer patients were current smokers and more than half did not meet the NLST inclusion criteria.


2019 ◽  
Vol 29 (2) ◽  
pp. 266-274 ◽  
Author(s):  
Marcin Ostrowski ◽  
Tomasz Marjański ◽  
Robert Dziedzic ◽  
Małgorzata Jelitto-Górska ◽  
Katarzyna Dziadziuszko ◽  
...  

Abstract OBJECTIVES The European Society of Thoracic Surgeons’ recommendations confirm the implementation of lung cancer screening in Europe. We compared 2 screening programmes, the Pilot Pomeranian Lung Cancer Screening Programme (pilot study) and the Moltest Bis programme, completed in a single centre. METHODS A total of 8649 healthy volunteers (aged 50–75 years, smoking history ≥20 pack-years) were enrolled in a pilot study between 2009 and 2011, and a total of 5534 healthy volunteers (aged 50–79, smoking history ≥30 pack-years) were enrolled in the Moltest Bis programme between 2016 and 2017. Each participant had a low-dose computed tomography scan of the chest. Participants with a nodule diameter of >10 mm or with suspected tumour morphology underwent a diagnostic work-up in the pilot study. In the Moltest Bis programme, the criteria were based on the volume of the detected nodule on the baseline low-dose computed tomography scan and the volume doubling time in the subsequent rounds. RESULTS Lung cancer was diagnosed in 107 (1.24%) and 105 (1.90%) participants of the pilot study and of the Moltest Bis programme, respectively (P = 0.002). A total of 300 (3.5%) and 199 (3.6%) patients, respectively, were referred for further invasive diagnostic work-ups (P = 0.69). A total of 125 (1.5%) and 80 (1.5%) patients, respectively, underwent surgical resection (P = 0.74). The number of resected benign lesions was similar: 44 (35.0%) and 20 (25.0%), respectively (P = 0.13), but with a downwards trend. Lobectomies and/or segmentectomies were performed in 84.0% and 90.0% of patients with lung cancer, respectively (P = 0.22). Notably, patients in the Moltest Bis programme underwent video-assisted thoracoscopic surgery more often than did those in the pilot study (72.5% vs 24.0%, P < 0.001). Surgical patients with stages I and II non-small-cell lung cancer (NSCLC) accounted for 83.4% of the Moltest patients and 86.4% of the pilot study patients (P = 0.44). CONCLUSIONS Modified inclusion criteria in the screening programme lead to a higher detection rate of NSCLC. Growing expertise in lung cancer screening leads to increased indications for minimally invasive surgery and an increased proportion of lung-sparing resections. A single-team experience in lung cancer screening does not lead to a major reduction in the rate of diagnostic procedures and operations for non-malignant lesions.


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