Julie Wu
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View article: Pancancer outcome prediction via a unified weakly supervised deep learning model
Pancancer outcome prediction via a unified weakly supervised deep learning model Open
Accurate prognosis prediction is essential for guiding cancer treatment and improving patient outcomes. While recent studies have demonstrated the potential of histopathological images in survival analysis, existing models are typically de…
View article: Adherence to Posttreatment Surveillance Guidelines in Non–Small Cell Lung Cancer: Retrospective Cohort Study
Adherence to Posttreatment Surveillance Guidelines in Non–Small Cell Lung Cancer: Retrospective Cohort Study Open
Background Several guidelines recommend posttreatment surveillance for non–small cell lung cancer (NSCLC). However, studies evaluating surveillance patterns often cannot distinguish between imaging ordered for surveillance versus for sympt…
View article: Automatic Abstraction of Computed Tomography Imaging Indication Using Natural Language Processing for Evaluation of Surveillance Patterns in Long-Term Lung Cancer Survivors
Automatic Abstraction of Computed Tomography Imaging Indication Using Natural Language Processing for Evaluation of Surveillance Patterns in Long-Term Lung Cancer Survivors Open
PURPOSE Despite its routine use to monitor patients with lung cancer (LC), real-world evaluations of the impact of computed tomography (CT) surveillance on overall survival (OS) have been inconsistent. A major confounder is the absence of …
View article: Adherence to Post-treatment Surveillance Guidelines in Non-small Cell Lung Cancer – A Veteran’s Health Administration Cohort (Preprint)
Adherence to Post-treatment Surveillance Guidelines in Non-small Cell Lung Cancer – A Veteran’s Health Administration Cohort (Preprint) Open
BACKGROUND Several guidelines recommend post-treatment surveillance for non-small cell lung cancer (NSCLC). However, studies evaluating surveillance patterns often cannot distinguish between imaging ordered for surveillance versus symptom…
View article: Hazard-aware adaptations bridge the generalization gap in large language models: a nationwide study
Hazard-aware adaptations bridge the generalization gap in large language models: a nationwide study Open
Despite growing excitement in deploying large language models (LLMs) for healthcare, most machine learning studies show success on the same few limited public data sources. It is unclear if and how most results generalize to real-world cli…
View article: Correction: The performance status gap in immunotherapy for frail patients with advanced non-small cell lung cancer
Correction: The performance status gap in immunotherapy for frail patients with advanced non-small cell lung cancer Open
View article: Breast cancer survivorship care: a narrative review of challenges and future directions
Breast cancer survivorship care: a narrative review of challenges and future directions Open
These findings indicate the need for a holistic and personalized approach to BCSC. The importance of implementing a multi-disciplinary and coordinated approach to survivorship care has been emphasized. This includes further involvement of …
View article: Investigation of Treatment-Related Symptoms and Self-Care Strategies in Lung Cancer Patients
Investigation of Treatment-Related Symptoms and Self-Care Strategies in Lung Cancer Patients Open
This study aimed to investigate treatment-related symptoms in lung cancer patients undergoing chemotherapy and radiotherapy, as well as effective self-care strategies to alleviate these symptoms. A total of 202 lung cancer patients were su…
View article: Implementing Wearable Devices in Postoperative Care
Implementing Wearable Devices in Postoperative Care Open
View article: Surgeon specialty and surveillance after resection for non–small cell lung cancer
Surgeon specialty and surveillance after resection for non–small cell lung cancer Open
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View article: Smoking and the Risk of Second Primary Lung Cancer Among Breast Cancer Survivors from the Population-Based UK Biobank Study
Smoking and the Risk of Second Primary Lung Cancer Among Breast Cancer Survivors from the Population-Based UK Biobank Study Open
View article: Racial and ethnic differences in second primary lung cancer risk among lung cancer survivors
Racial and ethnic differences in second primary lung cancer risk among lung cancer survivors Open
Background Recent therapeutic advances have improved survival among lung cancer (LC) patients, who are now at high risk of second primary lung cancer (SPLC). Hispanics comprise the largest minority in the United States, who have shown a lo…
View article: The performance status gap in immunotherapy for frail patients with advanced non-small cell lung cancer
The performance status gap in immunotherapy for frail patients with advanced non-small cell lung cancer Open
Purpose In advanced non-small cell lung cancer (NSCLC), immune checkpoint inhibitor (ICI) monotherapy is often preferred over intensive ICI treatment for frail patients and those with poor performance status (PS). Among those with poor PS,…
View article: Second Primary Lung Cancer Among Lung Cancer Survivors Who Never Smoked
Second Primary Lung Cancer Among Lung Cancer Survivors Who Never Smoked Open
Importance Lung cancer among never-smokers accounts for 25% of all lung cancers in the US; recent therapeutic advances have improved survival among patients with initial primary lung cancer (IPLC), who are now at high risk of developing se…
View article: P1.28-01 Adherence to Post-treatment Surveillance Guidelines in Non-small Cell Lung Cancer - A Veteran’s Health Administration Cohort
P1.28-01 Adherence to Post-treatment Surveillance Guidelines in Non-small Cell Lung Cancer - A Veteran’s Health Administration Cohort Open
View article: Risk Model–Based Lung Cancer Screening and Racial and Ethnic Disparities in the US
Risk Model–Based Lung Cancer Screening and Racial and Ethnic Disparities in the US Open
Importance The revised 2021 US Preventive Services Task Force (USPSTF) guidelines for lung cancer screening have been shown to reduce disparities in screening eligibility and performance between African American and White individuals vs th…
View article: Risk model‐based management for second primary lung cancer among lung cancer survivors through a validated risk prediction model
Risk model‐based management for second primary lung cancer among lung cancer survivors through a validated risk prediction model Open
Background Recent therapeutic advances and screening technologies have improved survival among patients with lung cancer, who are now at high risk of developing second primary lung cancer (SPLC). Recently, an SPLC risk‐prediction model (ca…
View article: Overall Survival Among Patients With De Novo Stage IV Metastatic and Distant Metastatic Recurrent Non–Small Cell Lung Cancer
Overall Survival Among Patients With De Novo Stage IV Metastatic and Distant Metastatic Recurrent Non–Small Cell Lung Cancer Open
Importance Despite recent breakthroughs in therapy, advanced lung cancer still poses a therapeutic challenge. The survival profile of patients with metastatic lung cancer remains poorly understood by metastatic disease type (ie, de novo st…
View article: Software Application Profile:<i>dynamicLM</i>—a tool for performing dynamic risk prediction using a landmark supermodel for survival data under competing risks
Software Application Profile:<i>dynamicLM</i>—a tool for performing dynamic risk prediction using a landmark supermodel for survival data under competing risks Open
Motivation Providing a dynamic assessment of prognosis is essential for improved personalized medicine. The landmark model for survival data provides a potentially powerful solution to the dynamic prediction of disease progression. However…
View article: Even after SARS-CoV-2 booster, there is increased COVID-19 breakthrough infection in patients with plasma cell disorders
Even after SARS-CoV-2 booster, there is increased COVID-19 breakthrough infection in patients with plasma cell disorders Open
View article: Optimizing Lung Cancer Screening With Risk Prediction: Current Challenges and the Emerging Role of Biomarkers
Optimizing Lung Cancer Screening With Risk Prediction: Current Challenges and the Emerging Role of Biomarkers Open
The Oncology Grand Rounds series is designed to place original reports published in the Journal into clinical context. A case presentation is followed by a description of diagnostic and management challenges, a review of the relevant liter…
View article: Machine learning-based natural language processing to extract PD-L1 expression levels from clinical notes
Machine learning-based natural language processing to extract PD-L1 expression levels from clinical notes Open
Introduction: PD-L1 expression is used to determine oncology patients’ response to and eligibility for immunologic treatments; however, PD-L1 expression status often only exists in unstructured clinical notes, limiting ability to use it in…
View article: Supplementary Data from Utilization of COVID-19 Treatments and Clinical Outcomes among Patients with Cancer: A COVID-19 and Cancer Consortium (CCC19) Cohort Study
Supplementary Data from Utilization of COVID-19 Treatments and Clinical Outcomes among Patients with Cancer: A COVID-19 and Cancer Consortium (CCC19) Cohort Study Open
Supplemental tables, figures, and list of participants
View article: Data from Utilization of COVID-19 Treatments and Clinical Outcomes among Patients with Cancer: A COVID-19 and Cancer Consortium (CCC19) Cohort Study
Data from Utilization of COVID-19 Treatments and Clinical Outcomes among Patients with Cancer: A COVID-19 and Cancer Consortium (CCC19) Cohort Study Open
Among 2,186 U.S. adults with invasive cancer and laboratory-confirmed SARS-CoV-2 infection, we examined the association of COVID-19 treatments with 30-day all-cause mortality and factors associated with treatment. Logistic regression with …
View article: Data from Utilization of COVID-19 Treatments and Clinical Outcomes among Patients with Cancer: A COVID-19 and Cancer Consortium (CCC19) Cohort Study
Data from Utilization of COVID-19 Treatments and Clinical Outcomes among Patients with Cancer: A COVID-19 and Cancer Consortium (CCC19) Cohort Study Open
Among 2,186 U.S. adults with invasive cancer and laboratory-confirmed SARS-CoV-2 infection, we examined the association of COVID-19 treatments with 30-day all-cause mortality and factors associated with treatment. Logistic regression with …
View article: Supplementary Data from Utilization of COVID-19 Treatments and Clinical Outcomes among Patients with Cancer: A COVID-19 and Cancer Consortium (CCC19) Cohort Study
Supplementary Data from Utilization of COVID-19 Treatments and Clinical Outcomes among Patients with Cancer: A COVID-19 and Cancer Consortium (CCC19) Cohort Study Open
Supplemental tables, figures, and list of participants
View article: Impact of COVID-19 in patients on active melanoma therapy and with history of melanoma
Impact of COVID-19 in patients on active melanoma therapy and with history of melanoma Open
Introduction COVID-19 particularly impacted patients with co-morbid conditions, including cancer. Patients with melanoma have not been specifically studied in large numbers. Here, we sought to identify factors that associated with COVID-19…
View article: 788. Risk Factors for Severe COVID-19 Breakthrough Infections: A Retrospective, Nationwide Cohort Study
788. Risk Factors for Severe COVID-19 Breakthrough Infections: A Retrospective, Nationwide Cohort Study Open
Background COVID-19 vaccines reduce the incidence of severe clinical outcomes, however, some patients remain at risk of severe disease. The primary aim of this large, nationwide retrospective cohort was to identify risk factors for severe …
View article: Increased COVID-19 Breakthrough Infection Risk after Sars-Cov-2 Vaccine Boosting in Patients with Plasma Cell Disorders: A Large Nationwide Veterans Affairs Study
Increased COVID-19 Breakthrough Infection Risk after Sars-Cov-2 Vaccine Boosting in Patients with Plasma Cell Disorders: A Large Nationwide Veterans Affairs Study Open
Introduction Coronavirus disease 2019 (COVID-19) is particularly serious in patients with multiple myeloma (MM), with estimated mortality of over 30% in early studies in unvaccinated patients. SARS-CoV-2 vaccination and boosting is an effe…
View article: Predictive Model to Guide Brain Magnetic Resonance Imaging Surveillance in Patients With Metastatic Lung Cancer: Impact on Real-World Outcomes
Predictive Model to Guide Brain Magnetic Resonance Imaging Surveillance in Patients With Metastatic Lung Cancer: Impact on Real-World Outcomes Open
PURPOSE Brain metastasis is common in lung cancer, and treatment of brain metastasis can lead to significant morbidity. Although early detection of brain metastasis may improve outcomes, there are no prediction models to identify high-risk…