Christoph I. Lee

ORCID: 0000-0002-8185-7721
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About
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Research Areas
  • Global Cancer Incidence and Screening
  • AI in cancer detection
  • Digital Radiography and Breast Imaging
  • Radiomics and Machine Learning in Medical Imaging
  • Radiation Dose and Imaging
  • Radiology practices and education
  • Breast Cancer Treatment Studies
  • Colorectal Cancer Screening and Detection
  • Artificial Intelligence in Healthcare and Education
  • Breast Lesions and Carcinomas
  • Cervical Cancer and HPV Research
  • Cancer Risks and Factors
  • MRI in cancer diagnosis
  • Advanced X-ray and CT Imaging
  • BRCA gene mutations in cancer
  • Medical Imaging Techniques and Applications
  • Ultrasound in Clinical Applications
  • Healthcare cost, quality, practices
  • Health Systems, Economic Evaluations, Quality of Life
  • Spine and Intervertebral Disc Pathology
  • Cardiac Imaging and Diagnostics
  • Economic and Financial Impacts of Cancer
  • Healthcare Policy and Management
  • Orthopaedic implants and arthroplasty
  • Orthopedic Infections and Treatments

University of Washington
2016-2025

American College of Radiology
2023-2025

Fred Hutch Cancer Center
2016-2025

University of California, Davis
2014-2025

Dartmouth Institute for Health Policy and Clinical Practice
2014-2025

Huntsman Cancer Institute
2025

University of Vermont
2019-2025

Dartmouth College
2025

Kaiser Permanente Washington Health Research Institute
2018-2025

University of Illinois Chicago
2025

PURPOSE: To determine the awareness level concerning radiation dose and possible risks associated with computed tomographic (CT) scans among patients, emergency department (ED) physicians, radiologists. MATERIALS AND METHODS: Adult patients seen in ED of a U.S. academic medical center during 2-week period mild to moderate abdominopelvic or flank pain who underwent CT were surveyed after acquisition scan. Patients asked whether not they informed about risks, benefits, scan if believed that...

10.1148/radiol.2312030767 article EN Radiology 2004-05-01

<h3>Importance</h3> Mammography screening currently relies on subjective human interpretation. Artificial intelligence (AI) advances could be used to increase mammography accuracy by reducing missed cancers and false positives. <h3>Objective</h3> To evaluate whether AI can overcome interpretation limitations with a rigorous, unbiased evaluation of machine learning algorithms. <h3>Design, Setting, Participants</h3> In this diagnostic study conducted between September 2016 November 2017, an...

10.1001/jamanetworkopen.2020.0265 article EN cc-by-nc-nd JAMA Network Open 2020-03-02

We report and provide fitting functions for the abundance of dark matter halos subhalos as a function mass, circular velocity, redshift from new Bolshoi-Planck MultiDark-Planck $\Lambda$CDM cosmological simulations, based on Planck parameters. also halo mass accretion rates, which may be connected with galaxy star formation rates. show that higher density parameters compared WMAP leads to massive at high redshifts. find median spin parameter $\lambda_{\rm B} = J(2M_{\rm vir}R_{\rm vir}V_{\rm...

10.1093/mnras/stw1705 article EN Monthly Notices of the Royal Astronomical Society 2016-07-15

Many states have laws requiring mammography facilities to tell women with dense breasts and negative results on screening discuss supplemental tests their providers. The most readily available method is ultrasonography, but little known about its effectiveness.To evaluate the benefits, harms, cost-effectiveness of ultrasonography for breasts.Comparative modeling 3 validated simulation models.Surveillance, Epidemiology, End Results Program; Breast Cancer Surveillance Consortium; medical...

10.7326/m14-0692 article EN Annals of Internal Medicine 2014-12-08

Background Artificial intelligence (AI) has shown promising results for cancer detection with mammographic screening. However, evidence related to the use of AI in real screening settings remain sparse. Purpose To compare performance a commercially available system routine, independent double reading consensus as performed population-based program. Furthermore, histopathologic characteristics tumors different scores were explored. Materials and Methods In this retrospective study, 122 969...

10.1148/radiol.212381 article EN Radiology 2022-03-29

Background: Estimates of risk for radiation-induced breast cancer from mammography screening have not considered variation in dose exposure or diagnostic work-up after abnormal results. Objective: To estimate distributions incidence and mortality digital while considering among women. Design: 2 simulation-modeling approaches. Setting: U.S. population. Patients: Women aged 40 to 74 years. Intervention: Annual biennial age 40, 45, 50 years until Measurements: Lifetime deaths averted (benefits)...

10.7326/m15-1241 article EN cc-by Annals of Internal Medicine 2016-01-12

The purpose of this study was to describe trends over time in female authorship the radiology literature and investigate tendency first authors publish with senior authors.Data on gender academic physician based United States for all major articles published three general journals--Radiology, AJR, Academic Radiology--were collected analyzed years 1978, 1988, 1998, 2008, 2013. Multivariate logistic regression used identify significant time, a chi-square test independence performed determine...

10.2214/ajr.15.15116 article EN American Journal of Roentgenology 2015-12-23

Purpose To compare the performance of digital breast tomosynthesis (DBT) and two-dimensional synthetic mammography (SM) with that (DM) in a population-based mammographic screening program. Materials Methods In this prospective cohort study, data from 37 185 women screened DBT SM 61 742 DM as part program 2014 2015 were included. Early measures, including recall rate due to abnormal findings, screen-detected cancer, positive predictive value recall, needle biopsy, histopathologic type, tumor...

10.1148/radiol.2018171361 article EN Radiology 2018-03-01

The purpose of this study was to determine the accuracy and value breast ultrasound for primary imaging evaluation women 30-39 years age who present with focal signs or symptoms.We identified all underwent (ultrasound mammography) at our institution between January 1, 2002, August 31, 2006, symptoms. Each area concern designated a case. Benign versus malignant outcomes were determined by biopsy surveillance through linkage tumor registry minimum 24-month follow-up. Overall cancer yield,...

10.2214/ajr.12.8842 article EN American Journal of Roentgenology 2012-10-24

Purpose To evaluate the effectiveness of combined biennial digital mammography and tomosynthesis screening, compared with screening alone, among women dense breasts. Materials Methods An established, discrete-event breast cancer simulation model was used to estimate comparative clinical cost-effectiveness both versus alone U.S. aged 50–74 years breasts from a federal payer perspective lifetime horizon. Input values were estimated for test performance, costs, health state utilities National...

10.1148/radiol.14141237 article EN Radiology 2014-10-28

Digital mammography (DM) and digital breast tomosynthesis (DBT) are used for routine cancer screening. There is minimal evidence on performance outcomes by age, screening round, density in community practice.To compare DM vs DBT baseline subsequent category.This comparative effectiveness study assessed 1 584 079 examinations of women aged 40 to 79 years without prior history cancer, mastectomy, or augmentation undergoing at 46 participating Breast Cancer Surveillance Consortium facilities...

10.1001/jamanetworkopen.2020.11792 article EN cc-by-nc-nd JAMA Network Open 2020-07-28

Performance of DWI as a Rapid Unenhanced Technique for Detecting Mammographically Occult Breast Cancer in Elevated-Risk Women With Dense BreastsElizabeth S. McDonald1,2, Jill A. Hammersley1, Shinn-Huey Chou1, Habib Rahbar1, John R. Scheel1, Christoph I. Lee1, Cheng-Liang Liu1, Constance D. Lehman1 and Savannah C. Partridge1Audio Available | Share

10.2214/ajr.15.15873 article EN American Journal of Roentgenology 2016-04-14

Breast cancer screening with digital breast tomosynthesis may decrease false-positive results compared mammography.To estimate the probability of receiving at least 1 result after 10 years vs mammography in US.An observational comparative effectiveness study data collected prospectively for examinations was performed between January 1, 2005, and December 31, 2018, 126 radiology facilities Cancer Surveillance Consortium. Analysis included 903 495 individuals aged 40 to 79 years. Data analysis...

10.1001/jamanetworkopen.2022.2440 article EN cc-by-nc-nd JAMA Network Open 2022-03-25

Diagnostic delays in breast cancer detection may be associated with later-stage disease and higher anxiety, but data on multilevel factors diagnostic delay are limited.To evaluate individual-, neighborhood-, health care-level differences time from abnormal screening to biopsy among racial ethnic groups.This prospective cohort study used women aged 40 79 years who had results mammograms conducted 109 imaging facilities across 6 US states between 2009 2019. Data were analyzed February 21...

10.1001/jamaoncol.2022.1990 article EN JAMA Oncology 2022-06-23

Despite breast cancer screening rates that exceed those of White women, 26 Black women are diagnosed with more advanced stages cancer.More worrisome, endure higher falsepositive results, an unfavorable outcome implicated in increased risk cancer.Additionally, elevated anxiety, stress, financial burden, [27][28][29][30][31][32] and paradoxically, reduced 33

10.1200/jco.21.02004 article EN Journal of Clinical Oncology 2022-02-02

Background Contrast-enhanced mammography (CEM) and abbreviated breast MRI (ABMRI) are emerging alternatives to standard for supplemental cancer screening. Purpose To compare the diagnostic performance of CEM, ABMRI, MRI. Materials Methods This single-institution, prospective, blinded reader study included female participants referred from January 2018 June 2021. CEM was performed within 14 days MRI; ABMRI produced images. Two readers independently interpreted each after a washout period....

10.1148/radiol.230576 article EN Radiology 2023-08-01

Purpose To evaluate performance improvements of general radiologists and breast imaging specialists when interpreting a set diverse digital tomosynthesis (DBT) examinations with the aid custom-built categorical artificial intelligence (AI) system. Materials Methods A fully balanced multireader, multicase reader study was conducted to compare 18 (nine nine specialists) reading 240 retrospectively collected screening DBT mammograms (mean patient age, 59.8 years ± 11.3 [SD]; 100% women),...

10.1148/ryai.230137 article EN Radiology Artificial Intelligence 2024-02-07

Despite similar on-site availability, differences existed in the distribution of some standard-of-care, advanced, and same-day diagnostic services biopsies for Black White patients after undergoing screening mammography.

10.1148/radiol.241673 article EN Radiology 2025-02-01
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