Renee Stacey

Imaging Informatics
The rise of in-house 3D labs: Balancing cost, quality, and control in radiology
Canon Medical Informatics
As imaging volumes rise due to aging populations and expanding diagnostic needs, radiology departments face a critical decision: invest in an in-house 3D lab or outsource imaging services.
February 25, 2025
Futuristic 3 D Heart Screen
AI
Everyone wins when AI becomes seamless for radiologists
Budgetary pressures, digital infrastructure improvements, and other industry shifts signal a new role for artificial intelligence (AI) in radiology and healthcare. Renee Stacey of TeraRecon describes this new phenomenon.
June 10, 2021
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Lung Cancer
CT
Stepped reminders boost CT lung cancer screening
Trial findings directly address the current lack of effective lung cancer screening interventions.
Example cases illustrate the double-edged role of large language model (LLM) rationale quality. (A) A 50-year-old female patient with a palpable anterior chest wall mass (correct diagnosis: solitary fibrous tumor of the pleura). The LLM incorrectly suggested synovial sarcoma but provided a persuasive rationale (quality score: 4 of 5), describing a well-defined nodule at axial contrast-enhanced CT spanning the pleura and intercostal space with heterogeneous strong enhancement. Four of five readers (80%) accepted the incorrect suggestion. FDG = fluorodeoxyglucose. (B) A 61-year-old male patient with diabetes presented with cough, sputum, and dyspnea (correct diagnosis: mucormycosis). The LLM correctly suggested mucormycosis with an excellent rationale (quality score: 5 of 5), integrating the reverse halo sign on serial axial CT images and rapidly progressive cavitary lesions. Three of five readers initially selected incorrect diagnoses; after LLM output, all five selected the correct diagnosis (100% acceptance). Blue and orange reader icons denote high- and low-expertise readers, respectively.
AI
Model confidence, reader expertise affect reader-LLM collaboration
Ga-68 HER2-PET/CT images before neoadjuvant therapy, at end of second cycle, and before surgery. (A) Baseline scan demonstrated soft-tissue lesion measuring approximately 2.3 × 2.2 cm in upper outer quadrant of left breast, with marked radiotracer uptake and SUVmax of 10.1. (B) At end of second cycle, imaging revealed residual lesion of approximately 2.2 × 1.0 cm in same region, without abnormal radiotracer accumulation. (C) Preoperative imaging demonstrated further reduction in lesion size to approximately 2.0 × 0.6 cm, with no abnormal tracer uptake detected.
Molecular Imaging
PET/CT predicts response to neoadjuvant therapy in breast cancer
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MRI
5 factors that led to California workplace MRI accident
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Stepped reminders boost CT lung cancer screening
By Will Morton
Trial findings directly address the current lack of effective lung cancer screening interventions.
August 11, 2026
Lung Cancer
Model confidence, reader expertise affect reader-LLM collaboration
By Amerigo Allegretto
Successful human-LLM collaboration is associated with model confidence and reader expertise in chest imaging.
August 11, 2026
Example cases illustrate the double-edged role of large language model (LLM) rationale quality. (A) A 50-year-old female patient with a palpable anterior chest wall mass (correct diagnosis: solitary fibrous tumor of the pleura). The LLM incorrectly suggested synovial sarcoma but provided a persuasive rationale (quality score: 4 of 5), describing a well-defined nodule at axial contrast-enhanced CT spanning the pleura and intercostal space with heterogeneous strong enhancement. Four of five readers (80%) accepted the incorrect suggestion. FDG = fluorodeoxyglucose. (B) A 61-year-old male patient with diabetes presented with cough, sputum, and dyspnea (correct diagnosis: mucormycosis). The LLM correctly suggested mucormycosis with an excellent rationale (quality score: 5 of 5), integrating the reverse halo sign on serial axial CT images and rapidly progressive cavitary lesions. Three of five readers initially selected incorrect diagnoses; after LLM output, all five selected the correct diagnosis (100% acceptance). Blue and orange reader icons denote high- and low-expertise readers, respectively.
PET/CT predicts response to neoadjuvant therapy in breast cancer
By Will Morton
Monitoring neoadjuvant therapy response in HER2-positive breast cancer is challenging with existing tools.
August 11, 2026
Ga-68 HER2-PET/CT images before neoadjuvant therapy, at end of second cycle, and before surgery. (A) Baseline scan demonstrated soft-tissue lesion measuring approximately 2.3 × 2.2 cm in upper outer quadrant of left breast, with marked radiotracer uptake and SUVmax of 10.1. (B) At end of second cycle, imaging revealed residual lesion of approximately 2.2 × 1.0 cm in same region, without abnormal radiotracer accumulation. (C) Preoperative imaging demonstrated further reduction in lesion size to approximately 2.0 × 0.6 cm, with no abnormal tracer uptake detected.
5 factors that led to California workplace MRI accident
By Liz Carey
What happened at a Redwood City hospital in California in 2023.
August 11, 2026
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NME breast lesions have high malignancy rate on MRI-guided biopsy
By Amerigo Allegretto
Biopsies from women with a known ipsilateral malignancy have a higher frequency of breast cancer.
August 10, 2026
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Many women interested in AI-based risk assessment for breast cancer
By Amerigo Allegretto
Survey findings also show that most women at higher risk are interested in additional screening tests.
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CT 5-star quality rating system supports optimization
By Will Morton
The rating framework demonstrated robust reproducibility, with three-reader concordance reaching up to 93% in highly standardized centers.
August 7, 2026
Radiation Symbol
READ-DVT model performs well in finding DVT from ultrasound reports
By Amerigo Allegretto
The AI model accurately identified the presence or absence of deep vein thrombosis on unstructured ultrasound reports.
August 7, 2026
Radiological Report 400
Bone scan testing has fallen 35% among Medicare beneficiaries
By Will Morton
Declines in testing were greatest among certain underserved groups.
August 7, 2026
Dexa
MRI-based models may predict atypical brain development in children
By Amerigo Allegretto
The models could provide a framework for identifying which adolescents are at higher risk of developing psychiatric conditions.
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Ultrasound MinnieCast, Episode 14: Weathering the sonographer shortage
By Amerigo Allegretto
SDMS President Aubrey Rybyinski discusses how clinics can address sonographer vacancies.
August 7, 2026
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Avoiding the ED cuts urgent CT turnaround time by half
By Will Morton
This is the first reported pilot of an expedited outpatient direct-to-CT imaging program designed to promote ED avoidance.
August 6, 2026
Emergency2
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