Dr. Jennifer Adams

Breast
Improving the patient experience benefits everyone
As a diagnostic radiologist, Dr. Jennifer Adams has always been sensitive to the concerns and fears that patients can have when faced with medical imaging procedures. But she gained a new perspective on what it's like to be a patient when she was diagnosed with breast cancer at the age of 38.
January 5, 2017
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Top Stories
Lung Cancer
AI
How can AI best help in LDCT lung cancer screening?
A commercially available AI-based tool appears effective as a prescreener in low-dose CT lung cancer screening.
Images of a 69-year-old man diagnosed with prostate cancer who had a history of endocrine therapy for two years. (a) The maximum intensity projection (MIP) image of F-18 FDG showed moderate radiotracer uptake in a thoracic vertebra. (e) The MIP image of Ga-68 DOTA-IBA demonstrated more lesions in the cervical vertebra and pelvis. (b) An osteoblastic lesion in the C3 vertebra right attachment (curved arrows) was negative on F-18 FDG (SUVmax = 2.0) and positive on Ga-68 DOTA-IBA (SUVmax = 8.7). (c) Another osteoblastic lesion in the T10 vertebra left side (arrowheads) was both positive on F-18 FDG (SUVmax = 5.2) and positive on Ga-68 DOTA-IBA (SUVmax = 35.0). (d) Osteoblastic lesions in bilateral ilium (dotted arrows and arrows) were negative on F-18 FDG (left: SUVmax = 1.4, right: SUVmax = 1.6) and positive on Ga-68 DOTA-IBA (left: SUVmax = 7.6, right: SUVmax = 8.7). Follow-up imaging three months later confirmed the presence of these bone metastases. Image and caption available for republishing under Creative Commons license (CC BY 4.0 DEED, Attribution 4.0 International) and courtesy of Scientific Reports.
Molecular Imaging
New theranostics PET tracer shows promise
Ultrasound images depict a 56-year-old man with obesity (body mass index, 42) and steatosis (MRI-PDFF, 10.4%), who underwent ultrasound attenuation coefficient (AC) measurement due to participation in the present study. The unit displays color-coded confidence map (left) and AC map (on right) in side-by-side manner. The confidence map indicates quality of acquired AC signals and is set like traffic lights: green indicates good quality acquisition, yellow indicates warning, and red indicates low quality. Areas with low quality are left blank on the AC map. The image shows multiple circular ROIs placed at depths below the liver capsule of 2, 2.5, 3, and 4 cm. All ROIs are 3.5 cm in size. The confidence map threshold is set at 20%. AC measurements (in units of dB/cm/MHz) were extracted from all ROIs (excluding voxels without assigned color on the AC map) and decrease with greater ROI depth.
Ultrasound
Ultrasound AC measures help detect liver steatosis
Endometriosis
MRI
Deep learning boosts MRI's ability to identify endometriosis
Lawsuit 400
Medicolegal
Judge tosses radiologist's lawsuit over public airing of transgender dispute
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How can AI best help in LDCT lung cancer screening?
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A commercially available AI-based tool appears effective as a prescreener in low-dose CT lung cancer screening.
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New theranostics PET tracer shows promise
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A new galium-68 (Ga-68) PET/CT radiotracer appears superior over F-18 FDG for detecting bone metastases.
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Images of a 69-year-old man diagnosed with prostate cancer who had a history of endocrine therapy for two years. (a) The maximum intensity projection (MIP) image of F-18 FDG showed moderate radiotracer uptake in a thoracic vertebra. (e) The MIP image of Ga-68 DOTA-IBA demonstrated more lesions in the cervical vertebra and pelvis. (b) An osteoblastic lesion in the C3 vertebra right attachment (curved arrows) was negative on F-18 FDG (SUVmax = 2.0) and positive on Ga-68 DOTA-IBA (SUVmax = 8.7). (c) Another osteoblastic lesion in the T10 vertebra left side (arrowheads) was both positive on F-18 FDG (SUVmax = 5.2) and positive on Ga-68 DOTA-IBA (SUVmax = 35.0). (d) Osteoblastic lesions in bilateral ilium (dotted arrows and arrows) were negative on F-18 FDG (left: SUVmax = 1.4, right: SUVmax = 1.6) and positive on Ga-68 DOTA-IBA (left: SUVmax = 7.6, right: SUVmax = 8.7). Follow-up imaging three months later confirmed the presence of these bone metastases. Image and caption available for republishing under Creative Commons license (CC BY 4.0 DEED, Attribution 4.0 International) and courtesy of Scientific Reports.
Ultrasound AC measures help detect liver steatosis
By Amerigo Allegretto
Attenuation coefficient (AC) measurements from ultrasound can help better detect hepatic steatosis and address interoperator agreement.
April 16, 2025
Ultrasound images depict a 56-year-old man with obesity (body mass index, 42) and steatosis (MRI-PDFF, 10.4%), who underwent ultrasound attenuation coefficient (AC) measurement due to participation in the present study. The unit displays color-coded confidence map (left) and AC map (on right) in side-by-side manner. The confidence map indicates quality of acquired AC signals and is set like traffic lights: green indicates good quality acquisition, yellow indicates warning, and red indicates low quality. Areas with low quality are left blank on the AC map. The image shows multiple circular ROIs placed at depths below the liver capsule of 2, 2.5, 3, and 4 cm. All ROIs are 3.5 cm in size. The confidence map threshold is set at 20%. AC measurements (in units of dB/cm/MHz) were extracted from all ROIs (excluding voxels without assigned color on the AC map) and decrease with greater ROI depth.
Deep learning boosts MRI's ability to identify endometriosis
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Using a deep-learning model with multisequence MRI enables improved diagnostic performance for detecting endometriosis.
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Judge tosses radiologist's lawsuit over public airing of transgender dispute
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A federal judge in Wyoming has dismissed radiologist Eric Cubin, MD's, transgender issue-based lawsuit against the state's governor.
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Nearly half of imaging equipment service calls require follow-up visit
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RadNet inks $103M deal to purchase iCAD
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Multiple AVS samples may improve treatment of primary aldosteronism
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AAPM responds to CT cancer risk study
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CT images best EHR coding, CT reports for sarcopenic obesity diagnosis
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CT images best electronic health record (EHR) and CT report data when it comes to diagnosing sarcopenia and sarcopenic obesity.
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MRI-based nomogram predicts breast cancer treatment response
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Pretreatment breast MRI can help quantify intratumoral heterogeneity and predict pathologic complete response in breast cancer patients.
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Prior breast screening tied to favorable disease staging, mortality
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