Matthew R. Jensen

ORCID: 0000-0001-5469-1239
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About
Contact & Profiles
Research Areas
  • Digital Radiography and Breast Imaging
  • AI in cancer detection
  • Breast Cancer Treatment Studies
  • Global Cancer Incidence and Screening
  • Breast Lesions and Carcinomas
  • Cancer Risks and Factors
  • Radiomics and Machine Learning in Medical Imaging
  • Infrared Thermography in Medicine
  • Microbial Metabolic Engineering and Bioproduction
  • Total Knee Arthroplasty Outcomes
  • Medical Imaging Techniques and Applications
  • Orthopaedic implants and arthroplasty
  • Enzyme Structure and Function
  • Estrogen and related hormone effects
  • Chemical Synthesis and Reactions
  • Copper-based nanomaterials and applications
  • Carbohydrate Chemistry and Synthesis
  • Chalcogenide Semiconductor Thin Films
  • Inflammatory mediators and NSAID effects
  • Quantum Dots Synthesis And Properties
  • Enzyme Catalysis and Immobilization
  • Health, Environment, Cognitive Aging
  • Genomics and Phylogenetic Studies
  • Orthopedic Infections and Treatments
  • Anaerobic Digestion and Biogas Production

Mayo Clinic in Florida
2012-2024

Mayo Clinic
2013-2023

University of Minnesota Rochester
2009-2022

Biotechnology Institute
2016-2021

University of Minnesota
2016-2021

Mayo Clinic in Arizona
2016-2021

Department of Medical Sciences
2021

University of Pennsylvania
2021

University of Delaware
2018

Elizabethtown College
2017

We evaluated whether a 76-locus polygenic risk score (PRS) and Breast Imaging Reporting Data System (BI-RADS) breast density were independent factors within three studies (1643 case patients, 2397 control patients) using logistic regression models. incorporated the PRS odds ratio (OR) into Cancer Surveillance Consortium (BCSC) risk-prediction model while accounting for its attributable compared five-year absolute predictions between models area under curve (AUC) statistics. All statistical...

10.1093/jnci/dju397 article EN JNCI Journal of the National Cancer Institute 2015-03-05

Purpose To compare the classification of breast density with two automated methods, Volpara (version 1.5.0; Matakina Technology, Wellington, New Zealand) and Quantra 2.0; Hologic, Bedford, Mass), clinical Breast Imaging Reporting Data System (BI-RADS) classifications to examine associations these measures cancer risk. Materials Methods In this study, 1911 patients 4170 control subjects matched for age, race, examination date, mammography machine were evaluated. Participants underwent at Mayo...

10.1148/radiol.2015151261 article EN Radiology 2015-12-23

Considerable debate remains regarding the use of posterior cruciate-retaining or cruciate-stabilizing designs for total knee arthroplasty. Multiple studies have investigated kinematic, radiographic, and clinical outcomes both. Nevertheless, long-term survivorship analyses directly comparing two not been performed, to our knowledge. Our goal was analyze fifteen-year survival replacements at institution.A retrospective review identified 8117 arthroplasties (5389 2728 cruciate-stabilizing) that...

10.2106/jbjs.j.01143 article EN Journal of Bone and Joint Surgery 2011-11-16

Periprosthetic fracture is a devastating complication of total knee replacement (TKR). Most published studies have not comprehensively assessed clinical and demographic predictors. We wanted to determine the incidence predictors postoperative periprosthetic after primary revision TKR.We used prospectively collected data in Mayo Clinic Total Joint Registry on all patients who underwent or TKR at Clinic, Rochester, from 1989 through 2008. fractures modifiable (comorbidity, body mass index)...

10.3109/17453674.2013.788436 article EN cc-by-nc Acta Orthopaedica 2013-01-01

Uridine diphosphate N-acetyl muramic acid (UDP NAM) is a critical intermediate in bacterial peptidoglycan (PG) biosynthesis. As the primary source of that shapes PG backbone, modifications installed at UDP NAM can be used to selectively tag and manipulate this polymer via metabolic incorporation. However, synthetic purification strategies access large quantities these building blocks, as well their derivatives, are challenging. A robust chemoenzymatic synthesis was developed using an...

10.1021/jacs.8b03304 article EN Journal of the American Chemical Society 2018-07-09

Background: In 30 states, women who have had screening mammography are informed of their breast density on the basis Breast Imaging Reporting and Data System (BI-RADS) categories estimated subjectively by radiologists. Variation in these clinical across within radiologists has led to discussion about whether automated BI-RADS should be reported instead. Objective: To determine cancer risk detection similar for measures. Design: Case–control. Setting: San Francisco Mammography Registry Mayo...

10.7326/m17-3008 article EN Annals of Internal Medicine 2018-04-30

Obesity and elevated breast density are common risk factors for cancer, their effects may vary by estrogen receptor (ER) subtype. However, joint on ER subtype-specific unknown. Understanding this relationship could enhance stratification screening prevention. Thus, we assessed the association between subtype according to body mass index (BMI) menopausal status. We conducted a case-control study nested within two mammography cohorts, Mayo Mammography Health Study San Francisco Bay Area Breast...

10.1186/s13058-019-1129-9 article EN cc-by Breast Cancer Research 2019-04-03

Artificial intelligence (AI) algorithms improve breast cancer detection on mammography, but their contribution to long-term risk prediction for advanced and interval cancers is unknown.

10.1200/jco.22.01153 article EN Journal of Clinical Oncology 2023-04-27

The first β-lactone synthetase enzyme is reported, creating an unexpected link between the biosynthesis of olefinic hydrocarbons and highly functionalized natural products. OleC, involved in microbial long-chain hydrocarbons, reacts with syn- anti-β-hydroxy acid substrates to yield cis- trans-β-lactones, respectively. Protein sequence comparisons reveal that enzymes homologous OleC are encoded product gene clusters generate rings, suggesting a common mechanism biosynthesis.

10.1021/acs.biochem.6b01199 article EN Biochemistry 2016-12-28

Abstract Background: Mammographic density (MD) is a strong breast cancer risk factor. We previously reported associations of percent mammographic (PMD) with larger and node-positive tumors across all ages, estrogen receptor (ER)–negative status among women ages <55 years. To provide insight into these associations, we examined the components PMD [dense area (DA) nondense (NDA)] subtypes. Methods: Data were pooled from six studies including 4,095 cancers 8,558 controls. DA NDA assessed...

10.1158/1055-9965.epi-14-1136 article EN Cancer Epidemiology Biomarkers & Prevention 2015-02-26

Abstract Introduction Mammographic density is a strong risk factor for breast cancer. Image acquisition technique varies across mammograms to limit radiation and produce clinically useful image. We examined whether parameters at the time of mammography were associated with mammographic confounded cancer association. Methods this question within Mayo Mammography Health Study (MMHS) cohort, comprised 19,924 women (51.2% eligible) seen in Clinic screening practice from 2003 2006. A case-cohort...

10.1186/bcr3357 article EN cc-by Breast Cancer Research 2012-11-15

Abstract Background: Reductions in breast density with tamoxifen and aromatase inhibitors may be an intermediate marker of treatment response. We compare changes volumetric among cancer cases using or (AI) to untreated women without cancer. Methods: Breast a digital mammogram prior diagnosis after initiation (n = 366) AI 403) sample controls 2170) were identified from the Mayo Clinic Mammography Practice San Francisco Registry. Volumetric percent (VPD) dense volume (DV) measured Volpara...

10.1158/1055-9965.epi-16-0882 article EN Cancer Epidemiology Biomarkers & Prevention 2017-02-02

Several studies have shown that mammographic texture features are associated with breast cancer risk independent of the contribution density. Thus, may provide novel information for stratification. We examined association a set established by tumor type and estrogen receptor (ER) status, accounting density.This study combines five case-control including 1171 cases 1659 controls matched age, date mammogram, study. Mammographic density 46 features, first- second-order Fourier transform,...

10.1186/s13058-016-0778-1 article EN cc-by Breast Cancer Research 2016-12-01

Accurately identifying women with dense breasts (Breast Imaging Reporting and Data System [BI-RADS] heterogeneously or extremely dense) who are at high breast cancer risk will facilitate discussions of supplemental imaging primary prevention. We examined the independent contribution volume BI-RADS density to predict invasive whether combined Breast Cancer Surveillance Consortium (BCSC) model factors (age, race/ethnicity, family history cancer, biopsy, density) improves risk. conducted a...

10.1186/s13058-017-0887-5 article EN cc-by Breast Cancer Research 2017-08-22

Background The associations of density measures from the publicly available Laboratory for Individualized Breast Radiodensity Assessment (LIBRA) software with breast cancer have primarily focused on estimates contralateral at time diagnosis. Purpose To evaluate LIBRA mammograms obtained before diagnosis and compare their performance to established measures. Materials Methods For this retrospective case-control study, full-field digital in for-processing (raw) for-presentation (processed)...

10.1148/radiol.2020192509 article EN Radiology 2020-05-12

Abstract Peptide backbone α- N -methylations change the physicochemical properties of amide bonds to provide structural constraints and other favorable characteristics including biological membrane permeability peptides. Borosin natural product pathways are only known ribosomally encoded posttranslationally modified peptides (RiPPs) incorporate on translated Here we report discovery type IV borosin (termed ‘split borosins’), featuring an iteratively acting -methyltransferase separate...

10.1038/s41467-021-25575-7 article EN cc-by Nature Communications 2021-09-09

Background While digital breast tomosynthesis (DBT) is rapidly replacing mammography (DM) in cancer screening, the potential of DBT density measures for risk assessment remains largely unexplored. Purpose To compare associations estimates from and DM with cancer. Materials Methods This retrospective case-control study used contralateral DM/DBT studies women unilateral age- ethnicity-matched controls (September 19, 2011–January 6, 2015). Volumetric percent (VPD%) was estimated using...

10.1148/radiol.2021210190 article EN Radiology 2021-09-14

Background The ability of deep learning (DL) models to classify women as at risk for either screening mammography-detected or interval cancer (not detected mammography) has not yet been explored in the literature. Purpose To examine DL estimate and screening-detected breast cancers with without clinical factors. Materials Methods This study was performed on 25 096 digital mammograms obtained from January 2006 December 2013. were 6369 cancer, 1609 whom developed 351 invasive cancer. A model...

10.1148/radiol.2021203758 article EN Radiology 2021-09-07

Atypical hyperplasia (AH) and mammographic breast density (MBD) are established risk factors for cancer (BC), but their joint contributions not well understood. We examine associations of MBD BC by histologic impression, including AH, in a subcohort women from the Mayo Clinic Benign Breast Disease Cohort. Women with diagnosis BBD mammogram between 1985 2001 were eligible. Histologic impression was assessed via pathology review coded as non-proliferative disease (NP), proliferative without...

10.1186/s12885-017-3082-2 article EN cc-by BMC Cancer 2017-01-31

Mammographic breast density declines during menopause. We assessed changes in volumetric across the menopausal transition and factors that influence these changes.Women without a history of cancer, who had full field digital mammograms both pre- postmenopausal periods, at least 2 years apart, were sampled from four facilities within San Francisco Mammography Registry 2007 to 2013. Dense volume (DV) was using Volpara on time period. Annualized change DV postmenopause estimated linear mixed...

10.1158/1055-9965.epi-18-1375 article EN Cancer Epidemiology Biomarkers & Prevention 2019-06-11
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