Amerigo Allegretto and Philip Ward

Practice Management
Global survey shows deep concerns over burnout, workforce shortages
Burnout, workforce shortages, and locally trained clinicians leaving the field are the top concerns among radiologists worldwide, according to survey findings.
January 27, 2025
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A research team out of University Medical Center Utrecht in the Netherlands described their DMI metabolic modeling approach at ISMRM 2025. It found differences in brain tissue between healthy, epilepsy, and brain tumor patients.
ISMRM 2025
ISMRM: DMI metabolic modeling provides insight for neuro diseases
Using deuterium metabolic imaging data for metabolic modeling shows differences in brain tissue between healthy, epilepsy, and glioblastoma patients.
Judith Herrmann, MD, PD, of the University Hospital TĂĽbingen in Germany.
ISMRM 2025
ISMRM: AI reconstruction can improve sustainability in MRI
Full-field digital mammography (FFDM) images in a 52-year-old woman show a high-risk phenotype (top), and FFDM images in a 58-year-old woman show a low-risk phenotype (bottom). The high-risk phenotype was defined by having high values of the first principal component (PC1) and was assigned to cluster 3 (top row), and the low-risk phenotype was defined by having low values of the PC1 and was assigned to cluster 1 (bottom row). The index images (left side; before any diagnosis of cancer) are provided as well as follow-up images obtained at either the time of cancer diagnosis (for the high-risk phenotype, top right) or at the last follow-up (low-risk phenotype, bottom right). The red circle indicates the location of subsequent breast cancer. Both women had a BI-RADS breast density of C. The woman at high risk for breast cancer was Black and the woman at low risk for breast cancer was white.
Womens Imaging
Breast texture patterns on mammo may predict cancer risk in dense breasts
Expected outcomes in brain metabolites
ISMRM 2025
ISMRM: MR spectroscopy captures neurochemistry changes after football hits
Examples of hemodynamic parameter maps superimposed on their corresponding anatomic data for two participants. Participant A represents an example of good flow with lower right ventricle stasis, increased right atrium kinetic energy, and increased mean velocity when compared to the sample’s average calculations. Opposite findings are highlighted by the visualizations of participant B representing an example of poor flow.
ISMRM 2025
ISMRM: 4D MRI reveals heart impairments in patients with COPD
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ISMRM: DMI metabolic modeling provides insight for neuro diseases
By Amerigo Allegretto
Using deuterium metabolic imaging data for metabolic modeling shows differences in brain tissue between healthy, epilepsy, and glioblastoma patients.
May 13, 2025
A research team out of University Medical Center Utrecht in the Netherlands described their DMI metabolic modeling approach at ISMRM 2025. It found differences in brain tissue between healthy, epilepsy, and brain tumor patients.
ISMRM: AI reconstruction can improve sustainability in MRI
By Erik L. Ridley
Researchers reported substantial energy and time savings from adoption of AI-based MR image reconstruction.
May 13, 2025
Judith Herrmann, MD, PD, of the University Hospital TĂĽbingen in Germany.
Breast texture patterns on mammo may predict cancer risk in dense breasts
By Amerigo Allegretto
Radiomic phenotypes found on mammography may be linked to elevated breast cancer risk in women with dense breasts.
May 13, 2025
Full-field digital mammography (FFDM) images in a 52-year-old woman show a high-risk phenotype (top), and FFDM images in a 58-year-old woman show a low-risk phenotype (bottom). The high-risk phenotype was defined by having high values of the first principal component (PC1) and was assigned to cluster 3 (top row), and the low-risk phenotype was defined by having low values of the PC1 and was assigned to cluster 1 (bottom row). The index images (left side; before any diagnosis of cancer) are provided as well as follow-up images obtained at either the time of cancer diagnosis (for the high-risk phenotype, top right) or at the last follow-up (low-risk phenotype, bottom right). The red circle indicates the location of subsequent breast cancer. Both women had a BI-RADS breast density of C. The woman at high risk for breast cancer was Black and the woman at low risk for breast cancer was white.
ISMRM: MR spectroscopy captures neurochemistry changes after football hits
By Liz Carey
Choline has emerged as the key metric of injury in a traumatic brain injury study.
May 12, 2025
Expected outcomes in brain metabolites
ISMRM: 4D MRI reveals heart impairments in patients with COPD
By Will Morton
Research presented at ISMRM 2025 highlighted how 4D flow MRI reveals cardiopulmonary hemodynamic interaction in patients with COPD.
May 12, 2025
Examples of hemodynamic parameter maps superimposed on their corresponding anatomic data for two participants. Participant A represents an example of good flow with lower right ventricle stasis, increased right atrium kinetic energy, and increased mean velocity when compared to the sample’s average calculations. Opposite findings are highlighted by the visualizations of participant B representing an example of poor flow.
ISMRM: Synthetic MRI feasible for breast cancer screening
By Kate Madden Yee
Synthetically generated "postcontrast" screening breast MR images show promise as an alternative to contrast MRI exams in women with contrast-related contraindications.
May 12, 2025
Invasive breast cancer is detected in left breast as an enhancing irregular mass. The mass is well visualized on reconstructed T1 weighted image. Images and caption courtesy of Soonhoi Ha, PhD, and the ISMRM.
Video from ISMRM: Shintaro Ichikawa on MRI liver biomarkers
By Kate Madden Yee
The ISMRM's New Horizons lecturer Shintaro Ichikawa, PhD, talks to AuntMinnie about MRI biomarkers for liver disease.
May 12, 2025
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ISMRM/ISMRT: 6 tips for making MR imaging more sustainable
By Kate Madden Yee
There are a number of ways to tackle the problem of negative environmental impacts caused by MR imaging.
May 12, 2025
Saif Afat, MD
Video from ISMRM: The last mile to clinical AI deployment
By Erik L. Ridley
Dania Daye, MD, PhD, shares how radiology practices can prepare for AI and plan for post-deployment monitoring during an interview at ISMRM 2025.
May 11, 2025
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ISMRM: MRI is an 'indispensable' tool for AD diagnosis and staging
By Kate Madden Yee
MRI is an "indispensable" tool for the diagnosis and treatment staging of Alzheimer's disease, according to a talk delivered May 11 at the ISMRM 2025.
May 11, 2025
Yuhei Takado, MD, PhD
Video from ISMRM: Katja Pinker lauds the many benefits of breast MRI
By Kate Madden Yee
In an interview with AuntMinnie, Katja Pinker, MD, PhD, offered an overview of current techniques and protocols for breast MRI.
May 11, 2025
Katja Interview
ISMRM: fMRI identifies key brain regions in superagers
By Will Morton
Functional MRI (fMRI) has shed new light on brain areas that differentiate superagers from cognitively average older adults.
May 11, 2025
A lollipop plots showing the most important nodes by RF-MLA selected by Mean decrease in Gini for a 7 tesla fMRI dataset, with longer sticks meaning greater importance. Each group of networks’ nodes has its own color matching the same network’s color in the brain map. Nodes' names preceded by a red asterisk are repeated among different networks, matching the red nodes in the brain map, which appear in multiple networks.
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