Publications by authors named "Grogan E"

Background: Artificial intelligence (AI)-powered platforms may be used to ensure that clinically significant lung nodules receive appropriate management. We studied the impact of a commercially available AI natural language processing tool on detection of clinically significant indeterminate pulmonary nodules (IPNs) based on radiology reports and provision of guideline-consistent care.

Study Design: All computed tomography (CT) scans performed at a single tertiary care center in the outpatient or emergency room setting between 20-Feb-2024 and 20-March-2024 were processed by the AI natural language processing algorithm.

View Article and Find Full Text PDF

The double-stapled () anastomotic technique associates with lower odds of anastomotic leak and stricture. , Single posterior stapled.

View Article and Find Full Text PDF

Background: Measurement of tumor markers from peripheral venous blood is an emerging tool to assist in the early diagnosis of lung cancer. Samples from the pulmonary artery and pulmonary artery wedge position (trans-pulmonary samples) are accessible via right-heart catheterization and, by virtue of their proximity to lung tumors, may increase diagnostic yield.

Case Presentation: We report a case of a 64 year-old woman from whom trans-pulmonary samples were obtained and who was diagnosed 16 months later with recurrent metastatic small cell lung cancer.

View Article and Find Full Text PDF

Background: Radiomics has shown promise in improving malignancy risk stratification of indeterminate pulmonary nodules (IPNs) with many platforms available, but with no head-to-head comparisons. This study aimed to evaluate transportability of radiomic models across platforms by comparing performances of a commercial radiomic feature extractor (HealthMyne) with an open-source extractor (PyRadiomics) on diagnosis of lung cancer in IPNs.

Methods: A commercial radiomic feature extractor was used to segment IPNs from computed tomography (CT) scans, and a previously validated radiomic model based on commercial features was used as baseline (ComRad).

View Article and Find Full Text PDF
Article Synopsis
  • Pulmonary nodules can be challenging to assess, leading to delays in diagnosing cancer and unnecessary tests for non-cancerous conditions.
  • This study evaluated the effectiveness of prediction models for assessing the likelihood of malignancy in nodules referred for biopsy, specifically using a cohort of 322 cases.
  • The results indicated that commonly used models (Brock, Mayo Clinic, and VA) had limited accuracy, while the Herder model showed better performance when PET-CT scans were included, suggesting a need for improved diagnostic tools in this area.
View Article and Find Full Text PDF

Background: We recently found that epiplakin 1 (EPPK1) alterations were present in 12% of lung adenocarcinoma (LUAD) cases and were associated with a poor prognosis in early-stage LUAD when combined with other molecular alterations. This study aimed to identify a probable crucial role for EPPK1 in cancer development.

Methods: EPPK1 mRNA and protein expression was analyzed with clinical variables.

View Article and Find Full Text PDF

Jaws are a key vertebrate feature that arose early in our evolution. Placoderms are among the first jawed vertebrates; their fossils yield essential knowledge about the early diversification of gnathostome feeding strategies, diets and modularity. Modularity can be expressed through disproportional lengths of lower and upper jaws as in swordfish or halfbeaks.

View Article and Find Full Text PDF

Background: Assessing the clinical utility of biomarkers is a critical step before clinical implementation. The reclassification of patients across clinically relevant subgroups is considered one of the best methods to estimate clinical utility. However, there are important limitations with this methodology.

View Article and Find Full Text PDF

Background: Lung nodule incidence is increasing. Many nodules require biopsy to discriminate between benign and malignant etiologies. The gold-standard for minimally invasive biopsy, computed tomography-guided transthoracic needle biopsy (CT-TTNB), has never been directly compared to navigational bronchoscopy, a modality which has recently seen rapid technological innovation and is associated with improving diagnostic yield and lower complication rate.

View Article and Find Full Text PDF

Lung adenocarcinoma (LUAD) is the predominant type of lung cancer in the U.S. and exhibits a broad variety of behaviors ranging from indolent to aggressive.

View Article and Find Full Text PDF
Article Synopsis
  • The study aims to identify proteins that can help determine which individuals are at high risk for developing lung cancer by analyzing bronchial cells from different risk groups.
  • Researchers validated 55 candidate proteins associated with lung cancer risk using sensitive techniques in both a smaller and larger group of participants.
  • They found that two proteins, ALDH3A1 and AKR1B10, were consistently overexpressed in high-risk individuals, supporting their potential as biomarkers for lung cancer risk assessment.
View Article and Find Full Text PDF
Article Synopsis
  • - Lung adenocarcinoma (LUAD) is a common and aggressive form of lung cancer, with its recurrence risk poorly understood, leading researchers to explore the role of immune response in tumor growth as a factor affecting patient outcomes.
  • - The study analyzed immune cell density in tumors from 100 LUAD patients (stages I and II), using advanced techniques to assess T-cell and mast cell presence in relation to recurrence-free survival (RFS).
  • - Findings indicate that higher densities of T-cells and mast cells in tumors are associated with significantly reduced recurrence risk, emphasizing the potential role of the immune environment in cancer prognosis, though further research is needed due to the small sample size.
View Article and Find Full Text PDF

Background: There is a need for biomarkers that improve accuracy compared with current demographic risk indices to detect individuals at the highest lung cancer risk. Improved risk determination will enable more effective lung cancer screening and better stratification of lung nodules into high or low-risk category. We previously reported discovery of a biomarker for lung cancer risk characterized by increased prevalence of TP53 somatic mutations in airway epithelial cells (AEC).

View Article and Find Full Text PDF

Background: Appropriate risk stratification of indeterminate pulmonary nodules (IPNs) is necessary to direct diagnostic evaluation. Currently available models were developed in populations with lower cancer prevalence than that seen in thoracic surgery and pulmonology clinics and usually do not allow for missing data. We updated and expanded the Thoracic Research Evaluation and Treatment (TREAT) model into a more generalized, robust approach for lung cancer prediction in patients referred for specialty evaluation.

View Article and Find Full Text PDF

Lung cancer is the leading cause of cancer-related deaths. Early detection and diagnosis are critical, as survival decreases with advanced stages. Approximately 1.

View Article and Find Full Text PDF

Background: Patients who are symptomatic from diaphragmatic dysfunction may benefit from diaphragmatic plication. We recently modified our plication approach from open thoracotomy to robotic transthoracic. We report our short-term outcomes.

View Article and Find Full Text PDF

Background: Food deserts are low-income census tracts with poor access to supermarkets and are associated with worse outcomes in breast, colon, and a small number of esophageal cancer patients. This study investigated residency in food deserts on readmission rates in a multi-institutional cohort of esophageal cancer patients undergoing trimodality therapy.

Methods: A retrospective review of patients who underwent trimodality therapy at 6 high-volume institutions from January 2015 to July 2019 was performed.

View Article and Find Full Text PDF
Article Synopsis
  • A study evaluated a deep learning model (LCP CNN) for assessing indeterminate pulmonary nodules (IPNs), finding it outperformed traditional clinical models but only used data from a single timepoint.
  • Researchers analyzed changes in LCP CNN scores over time to see if they differed between benign and malignant nodules, using a specific study design that involved multiple CT scans and blinded assessments.
  • Results showed that while benign nodules had stable LCP CNN scores, malignant nodules exhibited increasing scores over time, indicating that longitudinal analysis may enhance predictions of lung cancer risk.
View Article and Find Full Text PDF

Although when used as a lung cancer screening tool low-dose computed tomography (LDCT) has demonstrated a significant reduction in lung cancer related mortality, it is not without pitfalls. The associated high false positive rate, inability to distinguish between benign and malignant nodules, cumulative radiation exposure, and resulting patient anxiety have all demonstrated the need for adjunctive testing in lung cancer screening. Current research focuses on developing liquid biomarkers to complement imaging as non-invasive lung cancer diagnostics.

View Article and Find Full Text PDF

SARS-CoV-2 infections among vaccinated nursing home residents increased after the Omicron variant emerged. Data on booster dose effectiveness in this population are limited. During July 2021-March 2022, nursing home outbreaks in 11 US jurisdictions involving >3 infections within 14 days among residents who had received at least the primary COVID-19 vaccine(s) were monitored.

View Article and Find Full Text PDF

Objective: Indeterminate pulmonary nodules (IPNs) represent a significant diagnostic burden in health care. We aimed to compare a combination clinical prediction model (Mayo Clinic model), fungal (histoplasmosis serology), imaging (computed tomography [CT] radiomics), and cancer (high-sensitivity cytokeratin fraction 21; hsCYFRA 21-1) biomarker approach to a validated prediction model in diagnosing lung cancer.

Methods: A prospective specimen collection, retrospective blinded evaluation study was performed in 3 independent cohorts with 6- to 30-mm IPNs (n = 281).

View Article and Find Full Text PDF

Among nursing home outbreaks of coronavirus disease 2019 (COVID-19) with ≥3 breakthrough infections when the predominant severe acute respiratory coronavirus virus 2 (SARS-CoV-2) variant circulating was the SARS-CoV-2 δ (delta) variant, fully vaccinated residents were 28% less likely to be infected than were unvaccinated residents. Once infected, they had approximately half the risk for all-cause hospitalization and all-cause death compared with unvaccinated infected residents.

View Article and Find Full Text PDF
Article Synopsis
  • The study investigates autoantibodies generated in small cell lung cancer (SCLC) and their role in unique neurological syndromes associated with the disease.
  • Researchers developed a technique to detect autoantibody-antigen complexes in patient plasma, revealing that SCLC patients have significantly higher levels of disease-specific autoantibodies compared to those with other cancers.
  • The findings suggest that these autoantibodies, combined with smoking history, could be used for early detection of SCLC, presenting a new avenue for understanding the disease and improving patient outcomes.
View Article and Find Full Text PDF