Edward Stefanowicz and Bill O'Connell

Advanced Visualization
Hospital 3D printing: Part 2 -- A clear path to value capture
A key part of starting a 3D printing service or lab is demonstrating its value capture. Bill O'Connell of Materialise and Edward Stefanowicz of Geisinger Health System describe 12 potential value-capture areas associated with hospital 3D printing in part 2 of their series.
June 4, 2018
2017 04 21 14 08 45 960 3d Printing Ball 400
Advanced Visualization
Hospital 3D printing: Part 1 -- Starting a 3D printing service
Are you thinking about launching a 3D printing service or lab at your hospital? In the first of a two-part series on hospital 3D printing, Bill O'Connell of Materialise and Edward Stefanowicz of Geisinger Health System suggest measures you should take before getting started.
June 3, 2018
2017 04 21 14 08 45 960 3d Printing Ball 400
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Mammogram Patient
Womens Imaging
Mammo uptake among veterans on par with nonveterans
Female veterans are as likely to undergo screening mammography as nonveteran women.
Patient examples of SPECT/CT and PET/CT RECIP 1.0. (A) SPECT and PET maximum-intensity projection (MIP) images in 74-year-old man with mCRPC. Serum PSA level at baseline was 449 ng/mL and slightly increased to 525 ng/mL after two cycles of Lu-177 PSMA. Eastern Cooperative Oncology Group (ECOG) score was 2 at baseline and increased to 3 after 2 cycles. The patient was classified by readers as RECIP-progressive disease on both SPECT and PET. Overall survival was 4.7 months. Two cycles of Lu-177 PSMA were administered. (B) SPECT and PET MIP images in 74-year-old man with mCRPC. Serum PSA level was 231 ng/mL at baseline and decreased to 12.5 ng/mL after 2 cycles of Lu-177 PSMA. ECOG score was less than 2 at baseline and after 2 cycles of Lu-177 PSMA. The patient was classified by readers as RECIP-partial response on both SPECT and PET. Overall survival was 14.3 months. Four cycles of Lu-177 PSMA were administered.
Molecular Imaging
SPECT/CT predicts overall survival in Pluvicto patients
Glioma Letters Brain
MRI
AI-assisted brain MRI shows promise for improved glioma care
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MRI
Deep-learning technique boosts diagnostic ability of fast knee MRI
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Molecular Imaging
PET scans identify people at early risk for cognitive decline
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Mammo uptake among veterans on par with nonveterans
By Amerigo Allegretto
Female veterans are as likely to undergo screening mammography as nonveteran women.
April 25, 2025
Mammogram Patient
SPECT/CT predicts overall survival in Pluvicto patients
By Will Morton
New evidence supports using SPECT/CT scans along with serum PSA levels to evaluate early patient responses to Pluvicto treatment.
April 25, 2025
Patient examples of SPECT/CT and PET/CT RECIP 1.0. (A) SPECT and PET maximum-intensity projection (MIP) images in 74-year-old man with mCRPC. Serum PSA level at baseline was 449 ng/mL and slightly increased to 525 ng/mL after two cycles of Lu-177 PSMA. Eastern Cooperative Oncology Group (ECOG) score was 2 at baseline and increased to 3 after 2 cycles. The patient was classified by readers as RECIP-progressive disease on both SPECT and PET. Overall survival was 4.7 months. Two cycles of Lu-177 PSMA were administered. (B) SPECT and PET MIP images in 74-year-old man with mCRPC. Serum PSA level was 231 ng/mL at baseline and decreased to 12.5 ng/mL after 2 cycles of Lu-177 PSMA. ECOG score was less than 2 at baseline and after 2 cycles of Lu-177 PSMA. The patient was classified by readers as RECIP-partial response on both SPECT and PET. Overall survival was 14.3 months. Four cycles of Lu-177 PSMA were administered.
AI-assisted brain MRI shows promise for improved glioma care
By Kate Madden Yee
An AI-based technique used to analyze brain MRI exams taken of children with gliomas shows promise for predicting recurrence.
April 25, 2025
Glioma Letters Brain
Deep-learning technique boosts diagnostic ability of fast knee MRI
By Kate Madden Yee
A new, fast deep learning-based MR imaging technique shows excellent performance for diagnosing knee injuries, researchers have reported.
April 24, 2025
2025 04 23 Ajr Vosshenrich Thumbnail
PET scans identify people at early risk for cognitive decline
By Will Morton
Amyloid PET scans in people with early signs of Alzheimer’s can identify those at higher risk of progressing to cognitive decline.
April 24, 2025
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Most veterans adhere to post-EVAR surveillance imaging
By Amerigo Allegretto
Adherence to surveillance imaging after endovascular abdominal aortic aneurysm repair (EVAR) is high among veterans.
April 24, 2025
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Quantitative CT textures of the lung help assess COPD severity
By Kate Madden Yee
Quantitative CT can capture lung inflammation patterns to assess the severity of chronic obstructive pulmonary disease (COPD).
April 23, 2025
Copd
Health data restrictions plague medtech AI developers
By Liz Carey
Medtech industry and health leaders from big tech have introduced a new AI Policy Roadmap.
April 23, 2025
Data Protection Nijat
ACS: Breast cancer screening rates have recovered post-COVID
By Kate Madden Yee
Rates of up-to-date breast cancer screening have recovered after declining during the COVID-19 pandemic.
April 23, 2025
Breast Screening Mammo
Lung POCUS helps diagnose dyspnea in emergency departments
By Amerigo Allegretto
Point-of-care lung ultrasound may be useful in the emergency department for diagnosing dyspnea.
April 23, 2025
Images show lung ultrasound findings of major pleuro-pulmonary pathologies. (a) Pleural effusion; (b) Pneumonia; (c) Bronchopneumonia; (d) Acute pulmonary edema; (e) Chronic obstructive pulmonary disease exacerbation; (f) Pleuropulmonary tumors; (g) Acute respiratory distress syndrome.
MRI tool segments over 60 abdominal organs, structures
By Amerigo Allegretto
An automated multiorgan tool can accurately segment T1-weighted abdominal MR images.
April 22, 2025
2025 04 22 Radiology Mrisegmenter Thumbnail
AI produces synthetic 3T MR images from portable scans
By Erik L. Ridley
Findings show that AI could potentially expand the utility of neuroimaging on portable MRI systems.
April 22, 2025
Figure: Improved image quality with a generative adversarial network architecture for low- to high-field-strength image translation, called LowGAN. (A–C) Top: High-field-strength (3-T) and low-field-strength (64-mT) images and LowGAN outputs for a single participant across (A) fluid-attenuated inversion recovery (FLAIR), (B) T1-weighted (T1w), and (C) T2-weighted (T2w) contrasts. Bottom: Graphs demonstrate the structural similarity index (SSIM), peak signal-to-noise ratio (PSNR), normalized cross-correlation (NCC), and feature similarity index (FSIM) between high field strength and low field strength (64-mT) and high field strength and LowGAN outputs. a.u. = arbitrary units.****p ≤ 0.0001. Images and caption courtesy of Radiology and the RSNA.
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