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Artificial intelligence (AI) has been implemented in multiple fields of medicine to assist in the diagnosis and treatment of patients. AI implementation in radiology, more specifically for breast imaging, has advanced considerably. Breast cancer is one of the most important causes of cancer mortality among women, and there has been increased attention towards creating more efficacious methods for breast cancer detection utilizing AI to improve radiologist accuracy and efficiency to meet the increasing demand of our patients. AI can be applied to imaging studies to improve image quality, increase interpretation accuracy, and improve time efficiency and cost efficiency. AI applied to mammography, ultrasound, and MRI allows for improved cancer detection and diagnosis while decreasing intra- and interobserver variability. The synergistic effect between a radiologist and AI has the potential to improve patient care in underserved populations with the intention of providing quality and equitable care for all. Additionally, AI has allowed for improved risk stratification. Further, AI application can have treatment implications as well by identifying upstage risk of ductal carcinoma in situ (DCIS) to invasive carcinoma and by better predicting individualized patient response to neoadjuvant chemotherapy. AI has potential for advancement in pre-operative 3-dimensional models of the breast as well as improved viability of reconstructive grafts.
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Unlike many other subspecialties in radiology, breast radiologists practice in a patient-facing and interdisciplinary environment where team building, communication, and leadership skills are critical. Although breast radiologists can improve these skills over time, strong mentorship can accelerate this process, leading to a more successful and satisfying career. In addition to providing advice, insight, feedback, and encouragement to mentees, mentors help advance the field of breast radiology by contributing to the development of the next generation of leaders. During the mentorship process, mentors continue to hone their listening, problem-solving, and networking skills, which in turn creates a more supportive and nurturing work environment for the entire breast care team. This article reviews important mentorship skills that are essential for all breast radiologists. Although some of the principles apply to all mentoring relationships, ensuring that every breast radiologist has the skills to be both an effective mentor and mentee is key to the future of the profession.
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Mentors , Humans , Female , Radiology/education , Mentoring/methods , Radiologists/education , Leadership , Breast Neoplasms/diagnostic imagingABSTRACT
Most cancer screening data report on Black participants without distinguishing nativity, limiting our understanding of the needs of distinct groups within the African diaspora. The purpose of this pilot study was to assess demographic characteristics and perceptions of the benefits of and barriers to mammography among African immigrant women in New York City (NYC). Forty-two women who were 40 years or older, born in Africa, and English and/or French-speaking were recruited from African immigrant communities in NYC to complete a survey. Eighty percent of our sample aged 50 to 73 was adherent to the 2016 USPSTF mammography screening guideline. The most frequently endorsed benefits were that mammography will help find breast cancer early, could help find a breast lump before it is big enough to feel, and that if found early, breast cancer could be successfully treated. The most endorsed barriers were that having a mammogram is painful and that lack of insurance or being treated rudely at the mammogram center would keep participants from having a mammogram. Chi-square analyses assessed relationships between demographic characteristics and perceptions about mammography and revealed that endorsement of barriers to screening (e.g., health issues, transportation problems, pain, and time associated with mammography) varied by educational attainment. Findings suggest that future interventions should be multi-level and (1) support patients in accessing screening via resource sharing, (2) address other commonly cited barriers such as fear of pain during the procedure, and (3) support anti-racist healthcare environments especially in terms of treatment by providers.
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Purpose: Breast ultrasound suffers from low positive predictive value and specificity. Artificial intelligence (AI) proposes to improve accuracy, reduce false negatives, reduce inter- and intra-observer variability and decrease the rate of benign biopsies. Perpetuating racial/ethnic disparities in healthcare and patient outcome is a potential risk when incorporating AI-based models into clinical practice; therefore, it is necessary to validate its non-bias before clinical use. Approach: Our retrospective review assesses whether our AI decision support (DS) system demonstrates racial/ethnic bias by evaluating its performance on 1810 biopsy proven cases from nine breast imaging facilities within our health system from January 1, 2018 to October 28, 2021. Patient age, gender, race/ethnicity, AI DS output, and pathology results were obtained. Results: Significant differences in breast pathology incidence were seen across different racial and ethnic groups. Stratified analysis showed that the difference in output by our AI DS system was due to underlying differences in pathology incidence for our specific cohort and did not demonstrate statistically significant bias in output among race/ethnic groups, suggesting similar effectiveness of our AI DS system among different races (p>0.05 for all). Conclusions: Our study shows promise that an AI DS system may serve as a valuable second opinion in the detection of breast cancer on diagnostic ultrasound without significant racial or ethnic bias. AI tools are not meant to replace the radiologist, but rather to aid in screening and diagnosis without perpetuating racial/ethnic disparities.
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Breast imaging studies are complex examinations for patients and providers. Breast imaging providers and organizations invest significant resources in educating patients and referring providers to address variability in changing breast cancer screening recommendations, cultural biases, and socioeconomic barriers for patients. The breast imaging examination frequently involves multiple imaging modalities including interventional procedures, thus requiring multiple room types. Practices need to consider variables that affect workflow efficiency throughout the process of scheduling, examination performance, interpretation, and results delivery, as well as options in facilities design to create inviting yet functional environments for patients. Breast imaging appointments provide opportunity to capture individual breast cancer risk and to engage patients in health education and breast screening awareness. This AJR Expert Panel Narrative Review discusses ways in which breast imaging facilities can optimize patient experience throughout the complex process of a breast imaging examination, based on the authors' observations and opinions that include private and academic breast imaging experience.
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BACKGROUND: Breast density is strongly associated with breast cancer risk. Fully automated quantitative density assessment methods have recently been developed that could facilitate large-scale studies, although data on associations with long-term breast cancer risk are limited. We examined LIBRA assessments and breast cancer risk and compared results to prior assessments using Cumulus, an established computer-assisted method requiring manual thresholding. METHODS: We conducted a cohort study among 21,150 non-Hispanic white female participants of the Research Program in Genes, Environment and Health of Kaiser Permanente Northern California who were 40-74 years at enrollment, followed for up to 10 years, and had archived processed screening mammograms acquired on Hologic or General Electric full-field digital mammography (FFDM) machines and prior Cumulus density assessments available for analysis. Dense area (DA), non-dense area (NDA), and percent density (PD) were assessed using LIBRA software. Cox regression was used to estimate hazard ratios (HRs) for breast cancer associated with DA, NDA and PD modeled continuously in standard deviation (SD) increments, adjusting for age, mammogram year, body mass index, parity, first-degree family history of breast cancer, and menopausal hormone use. We also examined differences by machine type and breast view. RESULTS: The adjusted HRs for breast cancer associated with each SD increment of DA, NDA and PD were 1.36 (95% confidence interval, 1.18-1.57), 0.85 (0.77-0.93) and 1.44 (1.26-1.66) for LIBRA and 1.44 (1.33-1.55), 0.81 (0.74-0.89) and 1.54 (1.34-1.77) for Cumulus, respectively. LIBRA results were generally similar by machine type and breast view, although associations were strongest for Hologic machines and mediolateral oblique views. Results were also similar during the first 2 years, 2-5 years and 5-10 years after the baseline mammogram. CONCLUSION: Associations with breast cancer risk were generally similar for LIBRA and Cumulus density measures and were sustained for up to 10 years. These findings support the suitability of fully automated LIBRA assessments on processed FFDM images for large-scale research on breast density and cancer risk.
Subject(s)
Breast Neoplasms , Female , Humans , Breast Neoplasms/diagnostic imaging , Breast Neoplasms/epidemiology , Breast Density , Cohort Studies , White , Breast/diagnostic imaging , Mammography/methods , Risk Factors , Case-Control StudiesABSTRACT
BACKGROUND: The decision to pursue bilateral mastectomy without pathological confirmation of additional preoperative MRI lesions is likely multifactorial. We investigated the association of demographic factors and biopsy compliance following preoperative breast MRI with changes in surgical management in patients with newly diagnosed breast cancer. METHODS: A retrospective review of BI-RADS 4 and 5 MRIs performed across a health system from March 2018 to November 2021 for assessment of disease extent and preoperative planning. Patient characteristics, including demographics, Tyrer-Cuzick risk score, pathology from index cancer and biopsy of MRI findings, and pre- and post-MRI surgical plans were recorded. Analysis compared patients who underwent biopsy with those who did not. RESULTS: The final cohort included 323 patients who underwent a biopsy and 89 who did not. Of patients who underwent a biopsy, 144/323 (44.6%) had additional cancer diagnoses. MRI did not change management in 179/323 patients (55.4%) who underwent biopsy and in 44/89 patients (51.7%) who did not. Patients with a biopsy were more likely to have additional breast conservation surgery (P < .001) and patients without a biopsy were more likely to have a change in management to bilateral mastectomy P = .009). Patients without a biopsy who underwent a management change to bilateral mastectomy were significantly younger (47.2 vs 58.6; P < .001) and more likely to be white (P = .02) compared to those choosing bilateral mastectomy after biopsy. DISCUSSION: Biopsy compliance is associated with changes in surgical decisions, and younger, white women are more likely to pursue aggressive surgical management without definitive pathologic diagnoses.
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Breast Neoplasms , Humans , Female , Breast Neoplasms/diagnostic imaging , Breast Neoplasms/surgery , Mastectomy , Biopsy , Magnetic Resonance Imaging , Retrospective Studies , Preoperative Care , DemographyABSTRACT
OBJECTIVE: To assess use of mammography information systems (MISs) and explore features associated with breast imaging radiologist satisfaction. METHODS: A 22-question survey regarding MISs was distributed electronically to the Society of Breast Imaging membership between February 16, 2022 and June 28, 2022. Differences in responses between respondents satisfied and dissatisfied with their MIS were analyzed using Pearson chi-squared test, Fisher exact test, and multivariate logistic regression. RESULTS: The response rate was 11.4% (228/2007). Most respondents used a commercial MIS (195/228, 85.5%). Most used were Epic (47/228, 21%), MagView (47/228, 21%), and PenRad (37/228, 16%). Only 4.4% (10/228) reported that patient tracking was not integrated with results reporting. The majority (129/226, 57%) reported satisfaction with their MIS. Satisfaction correlated (Pâ <â 0.05) with features such as picture archiving and communication system integration, structured reporting, access to physician outcomes metrics, and ability to query data. Less commonly reported features such as non-English language options and recognition of laterality and patient mismatch errors also correlated with satisfaction. Lack of these features correlated with dissatisfaction (Pâ <â 0.05). Satisfaction also correlated with adequate training (Pâ <â 0.001) and technology support (Pâ <â 0.001). On multivariate analysis, longer time using the current MIS was independently associated with satisfaction. CONCLUSION: Most respondents used a commercial MIS and were satisfied with their system. Satisfied users reported several helpful MIS features and adequate training and support. The survey results could help MIS companies when designing new products and inform radiologists and administrators when considering a new MIS.
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Radiologists , Radiology Information Systems , Humans , Surveys and Questionnaires , Mammography , Information SystemsABSTRACT
PURPOSE: Breast arterial calcifications (BAC), detected by digital mammography are a potential marker of coronary artery disease (CAD). Past BAC research has been limited by having primarily racially and ethnically homogeneous samples, samples at higher risk for CAD, and neglecting to explore the influence of women's health factors. The purpose of this study was to evaluate the prevalence of, and factors associated with, BAC in an ethnically and racially diverse group. METHODS: We conducted a retrospective chart review on 17,237 screening mammography patients. Mammography results and patient responses to a demographic and medical history questionnaire were abstracted. Logistic regression was used. RESULTS: BAC prevalence was 12.3%. Age was a significant risk factor, with the odds of BAC approximately doubling every decade. Age-adjusted analyses showed: 1) higher BAC prevalence among Hispanic and Black women; 2) lower BAC prevalence among Ashkenazi women, nulliparous and pre-menopausal women, those with dense breasts and breast implants, and those currently using HRT; and, 3) no association between BAC prevalence and BMI or age at menarche. CONCLUSIONS: BAC prevalence differs according to age, ethnicity, race, women's health, and breast-specific factors. Communication of BAC information in clinical settings could potentially prompt women to engage in preventive care.
Subject(s)
Breast Diseases , Breast Neoplasms , Coronary Artery Disease , Humans , Female , Mammography/methods , Coronary Angiography/methods , Retrospective Studies , Breast Neoplasms/diagnostic imaging , Breast Neoplasms/epidemiology , Early Detection of Cancer , Breast Diseases/diagnostic imaging , Breast Diseases/epidemiology , Coronary Artery Disease/diagnostic imaging , Coronary Artery Disease/epidemiology , Risk FactorsABSTRACT
OBJECTIVE: BI-RADS 0 screening mammograms require follow-up diagnostic imaging, optimally within 60 days. Our study aims to identify risk factors for delayed follow-up. METHODS: We conducted a retrospective case-control study of individuals who had a nondiagnostic BI-RADS 0 screening mammogram between March 19, 2018, and March 19, 2020. Sociodemographic information was collected from a self-reported questionnaire. We aimed to identify factors associated with <60-day follow-up, >60-day follow-up, or no follow-up outcomes. The χ2 test and univariate logistic regressions were performed. Significant variables were included in multinomial logistic regression. We also aimed to identify risk factors that lead to delayed follow-up times among individuals with follow-up. Spearman's correlation and Mann-Whitney Wilcoxon tests and Kruskal-Wallis tests were performed. RESULTS: Review returned 5,034 screening mammograms. Of 4,552 individuals included, 904 (19.9%) had no follow-up. Of the 3,648 (80.1%) with follow-up, 2,797 (76.7%) had a follow-up <60 days (median 20 days) and 851 (23.3%) had follow-up >60 days (median 176 days). Multinomial regression found that Asian (P = .022), Black (P < .0001), and individuals who identified their race as other (P < .0001) were independently more likely to have no or >60-day follow-up. Individuals who did not report their race (P = .001) or completed the questionnaire in Spanish (P = .025) were more likely to have no or >60-day follow-up. Among individuals with follow-up, Black individuals (P < .0001), those who identified their race as other (P < .0001), Hispanic individuals (P = .04), and those who completed the questionnaire in Spanish (P < .0001) had follow-up delays. BRCA-positive individuals had shorter follow-up times (P = .021). DISCUSSION: Follow-up time is affected by cancer risk factors such as BRCA status in addition to race, preferred language, and Hispanic ethnicity.
Subject(s)
Breast Neoplasms , Mammography , Humans , Female , Early Detection of Cancer , Retrospective Studies , Case-Control Studies , Breast Neoplasms/diagnostic imaging , Risk Factors , Mass Screening/methodsABSTRACT
BACKGROUND: To estimate lifetime risk of breast cancer among women utilizing mobile mammography and to determine the proportion that might benefit from additional services, such as genetic counseling and educational programs. METHODS: Retrospective analysis of electronic health records for 2214 women screened for breast cancer on a mobile mammography van was conducted. Participants answered questions about their demographic characteristics, breast health, and family history of cancer. Logistic regression analyses were used to assess the odds of being recommended for additional services by the Tyrer-Cuzick (TC) lifetime risk score. RESULTS: The average TC ten-year risk score was 2.76 % ± 2.01 %, and the average TC lifetime risk score was 7.30 % ± 4.80 %. Using lifetime risk scores ≥ 10 %, it was determined that 444 patients (20.23 %) could be referred to additional services. Less than one percent of patients had been tested for the BRCA genes previously. The odds of being recommended for additional services by the TC model were significantly greater among those who were eligible for the New York Cancer Services Program (i.e., a proxy for lack of insurance) when compared to those who were ineligible (OR=1.31, 95 % CI: 1.03-1.66). After adjustment, screening borough and race/ethnicity were not significantly associated with being recommended for services. CONCLUSION: Genetic counseling and education are some of the tools available to promote awareness and early detection of breast cancer; however, screening guidelines do not mandate genetic counseling or referrals for individuals at high-risk. POLICY SUMMARY: Patients and providers should have discussions about predicted TC lifetime risk scores at follow-up breast cancer screening appointments, as this is a missed opportunity to improve care at both fixed sites and mobile clinics.
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Breast Neoplasms , Humans , Female , Breast Neoplasms/diagnosis , Retrospective Studies , Early Detection of Cancer , Mammography , Mass ScreeningABSTRACT
BACKGROUND: There is little data exploring the impact of screening mammography on subsequent treatment in the 40-49-year age group with breast cancer. We sought to assess the association between frequency of mammography in young women and extent of surgery and chemotherapy required. METHODS: An IRB-approved retrospective review was performed of patients diagnosed with breast cancer between ages 40 and 49 years from 1 January 2010 to 19 November 2018 within a single health system. Patients were grouped based on last screening 1-24 months prior to diagnosis (1-24 group), > 25 months prior to diagnosis (> 25 group), never screened, and > 25+ never screened (combination group). Multivariate logistic regression models were used to assess for associations between screening intervals and tumor and nodal stage, chemotherapy use, and extent of surgery. RESULTS: Of 869 patients included for analysis, 20% were never screened, 60% screened 1-24 months, and 19% screened > 25 months prior to diagnosis. Compared with the 1-24 months group, the never-screened group, > 25 months group, and combined group were more likely to receive chemotherapy. The never-screened and combined groups were more likely to undergo mastectomy and/or axillary lymph node dissection. Of patients undergoing upfront surgery, the > 25 months and combined groups were more likely to receive adjuvant chemotherapy, while the never-screened and combined groups were more likely to have nodal disease. CONCLUSION: Our findings support the initiation of screening mammography at age 40 years to reduce the risk of aggressive treatments for newly diagnosed breast cancers in this group.
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BACKGROUND: Mobile mammographic services (MM) have been shown to increase breast cancer screening in medically underserved women. However, little is known about MM patients' adherence to follow-up of abnormal mammograms and how this compares with patients from traditional, fixed clinics. OBJECTIVES: To assess delays in follow-up of abnormal mammograms in women screened using MM versus fixed clinics. DESIGN: Electronic medical record review of abnormal screening mammograms. SUBJECTS: Women screened on a MM van or at a fixed clinic with an abnormal radiographic result in 2019 (N = 1,337). MAIN MEASURES: Our outcome was delay in follow-up of an abnormal mammogram of 60 days or greater. Guided by Andersen's Behavioral Model of Health Services Utilization, we assessed the following: predisposing (age, ethnicity, marital status, preferred language), enabling (insurance, provider referral, clinic site), and need (personal breast cancer history, family history of breast/ovarian cancer) factors. KEY RESULTS: Only 45% of MM patients had obtained recommended follow-up within 60 days of an abnormal screening compared to 72% of fixed-site patients (p < .001). After adjusting for predisposing, enabling, and need factors, MM patients were 2.1 times more likely to experience follow-up delays than fixed-site patients (CI: 1.5-3.1; p < .001). African American (OR: 1.5; CI: 1.0-2.1; p < .05) and self-referred (OR: 1.8; CI: 1.2-2.8; p < .01) women were significantly more likely to experience delays compared to Non-Hispanic White women or women with a provider referral, respectively. Women who were married (OR: 0.63; CI: 0.5-0.9; p < .01), had breast cancer previously (OR: 0.37; CI: 0.2-0.8; p < .05), or had a family history of breast/ovarian cancer (OR: 0.76; CI: 0.6-0.9; p < .05) were less likely to experience delayed care compared to unmarried women, women with no breast cancer history, or women without a family history of breast/ovarian cancer, respectively. CONCLUSIONS: A substantial proportion of women screened using MM had follow-up delays. Women who are African American, self-referred, or unmarried are particularly at risk of experiencing delays in care for an abnormal mammogram.
Subject(s)
Breast Neoplasms , Ovarian Neoplasms , Aftercare , Breast Neoplasms/diagnostic imaging , Early Detection of Cancer , Female , Humans , Mammography , Mass ScreeningABSTRACT
Objective: Digital mammography can reveal not only breast cancer but also breast arterial calcification (BAC), which can indicate potential coronary artery disease. To explore ways to inform women of their BAC status in the context of a standard mammography results letter, we conducted a preliminary study comparing gain- and loss-framed messages to encourage follow-up cardiovascular care. Methods: U.S. women over age 40 with no heart disease history (N = 227) were randomly assigned to view a mammography letter including BAC information in one of seven ways (three gain-framed messages, three loss-framed messages, one comparison message). Results: Post-test measures indicated no significant differences on BAC knowledge, recall of test results and recommendations, perceived message effectiveness, or behavioral intentions for follow-up. Conclusion: Despite showing no significant differences between message conditions, results supported the messages' ability to clearly convey BAC information and encourage intention for follow-up cardiovascular care. Innovation: This experimental study represents the first published report examining the inclusion of BAC screening results within the mammography letter. It also explored the use of message framing in a dual detection-prevention context and suggests that future work should test the effects of including both framing tactics in messages designed to target dual-focus contexts.
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This study examines the relationship between language preference and screening mammogram adherence in medically underserved women in New York City. A survey was conducted with 518 women age 40 and over attending breast health education programs in English, Spanish, Chinese (Mandarin/Cantonese), and French. Women who preferred Chinese were 53% less likely to have had a mammogram within the past year compared to women who preferred English (p < .01). Women age 75 and older (p < .0001) and those without insurance (p < .05) were also found to be significantly less likely to have had a screening mammogram compared to women ages 55-74 and those with private insurance, respectively. This research indicates medically underserved women who prefer a non-English language may benefit from linguistically appropriate interventions to improve screening mammogram adherence. Future research should examine appropriateness of breast cancer screening for women age 75 and older and explore ways to improve screening mammogram use in the uninsured population.
Subject(s)
Breast Neoplasms , Medically Underserved Area , Adult , Aged , Breast Neoplasms/diagnostic imaging , Breast Neoplasms/prevention & control , Early Detection of Cancer , Female , Humans , Language , Mammography , Mass Screening , Middle AgedABSTRACT
OBJECTIVE: This study assessed mentorship interest within the breast radiologist community to guide development of a mentorship program through the Society of Breast Imaging (SBI). METHODS: A 19-question survey developed by the SBI mentorship committee was distributed electronically to its members March 16, 2021, to May 7, 2021, to gauge interest in forming a society-sponsored mentorship program. Responses were analyzed, with subgroups compared using chi-square analysis. RESULTS: There was an 18% response rate (598/3277), and 65% (381/588) professed interest in an SBI-sponsored mentorship. Respondents were evenly distributed between academic (241/586, 41%) and private practice (242/586, 41%). Most were breast imaging fellowship-trained (355/593, 60%) and identified as female (420/596, 70%). For practice years, 50% (293/586) were late career (11+ years) with the remainder early-mid career (201/586, 34%) or trainees (92/586, 16%). For mentorship content areas, work/life balance was the most popular choice (275/395, 70%) followed by leadership (234/395, 59%). Most respondents were not currently mentors (279/377, 74%) or mentees (284/337, 84%). Those interested in a mentorship relationship were statistically younger (<45 years old, 234/381, 61% vs 31/207, 15%, P < 0.00001), female (289/381, 76% vs 123/207, 59%, P = 0.00003), academics (189/381, 50% vs 48/207, 23%, P < 0.00001), identified as a racial/ethnic minority (138/381, 64% vs 121/297, 15%, P < 0.00001), and fellowship-trained (262/381, 69% vs 88/207, 43%, P < 0.00001). CONCLUSION: There is demand, especially among the society's young and minority members, for an SBI-sponsored mentorship program. Work/life balance and leadership were the most popular choices for guidance.
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PURPOSE OF REVIEW: The COVID-19 pandemic has been an unprecedented challenge for healthcare delivery, disrupting normal workflows and demanding re-allocation of resources. In the setting of breast imaging, this entailed an initial marked reduction of services during the acute phase of the pandemic followed by a gradual reopening with modified protocols to minimize potential virus exposure. RECENT FINDINGS: Protocols were devised for providing limited breast imaging services during the acute phase of the pandemic and for safely reopening during the post acute phase. Example cases of breast cancers diagnosed during the acute phase of the pandemic are provided to illustrate the modified workflow. SUMMARY: This manuscript reviews practical strategies for restructuring breast imaging workflow, onsite policies, and staffing at a multi-site academic center in New York City during the COVID-19 pandemic. By sharing our experience, we hope to provide others with a roadmap for managing breast imaging services during future unforseen crises.
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Low-dose CT screening for lung cancer provides images of the entire chest and upper abdomen. While the focus of screening is on finding early lung cancer, radiology leadership has embraced the fact that the information contained in the images presents a new challenge to the radiology profession. Other findings in the chest and upper abdomen were not the reason for obtaining the screening CT scan, nor symptom-prompted, but still need to be reported. Reporting these findings and making recommendations for further workup requires careful consideration to avoid unnecessary workup or interventions while still maximizing the benefit that early identification of these other diseases provided. Other potential findings, such as cardiovascular disease and chronic pulmonary obstructive diseases actually cause more deaths than lung cancer. Existing recommendations for workup of abnormal CT findings are based on symptom-prompted indications for imaging. These recommendations may be different when the abnormalities are identified in asymptomatic people undergoing CT screening for lung cancer. I-ELCAP, a large prospectively collected multi-institutional and multi-national database of screenings, was used to analyze CT findings identified in screening for lung cancer. These analyses and recommendations were made by radiologists in collaboration with clinicians in different medical specialties.