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Abraham Kim

[email protected]
CT
Radiologists distinguish COVID-19 pneumonia on CT
The novel coronavirus disease (COVID-19) is characterized by CT findings that match features of other pneumonia-causing viruses. But radiologists from the U.S. and China demonstrated that they are well-equipped to differentiate COVID-19 from these other viruses in a new study, published online March 10 in Radiology.
March 10, 2020
2020 03 11 18 48 8059 2020 03 11 Ct Coronavirus 20200311185814
CT
3 factors linked to risk of death from coronavirus
For individuals with the novel coronavirus disease, several factors were associated with an increased risk of death in a new study, published online March 9 in the Lancet journal. Careful observation and blood testing could help clinicians identify these individuals at an early stage, researchers say.
March 10, 2020
2020 02 12 18 18 3715 Virus Coronavirus2 400
CT
CT findings for coronavirus may overlap with adenovirus
Chest CT accurately detected the novel coronavirus disease (COVID-19) in the vast majority of high-risk individuals prior to confirmation by laboratory testing, though it also misidentified COVID-19 for the adenovirus in a small percentage of cases in a new study, published online March 4 in the American Journal of Roentgenology.
March 9, 2020
2020 03 09 23 31 5634 2020 03 10 Ct Adenovirus 400 20200309231011
CT
Low-dose CT produces no detectable DNA damage
The debate over the potential harms of CT radiation carries on in a new study published online March 10 in Radiology. Researchers from Japan are reporting that they found no evidence of DNA damage in individuals who underwent low-dose CT scans -- while damage was detectable from standard-dose exams.
March 9, 2020
2020 03 07 00 23 4277 2020 03 10 Dna 20200307001918
Advanced Visualization
AR equipped to 'transform' image-guided interventions
Interventional radiology is in a prime position to leverage the enhanced visualization afforded by augmented reality (AR) technology to improve image-guided procedures and achieve better outcomes, according to a recent article published online in the Journal of Vascular and Interventional Radiology.
March 8, 2020
2020 03 05 18 36 1962 2020 03 09 Ar Thumb
Advanced Visualization
AuntMinnie.com Advanced Visualization Insider
March 4, 2020
CT
3 uses for cinematic rendering of brain CTA scans
Cinematic rendering based on CT angiography (CTA) data can enhance the visualization of complex cerebrovascular anatomy and disease beyond the capabilities of traditional volume rendering, without any added costs, according to an article recently published online in the Journal of Neuroimaging.
March 4, 2020
2020 03 05 01 00 2035 2020 03 05 Cinematic Rendering Thumb
CT
CT, x-ray capture vaping lung injury in teens
What effect does vaping have on the lungs of young, healthy individuals? A study published online March 3 in Radiology details the most prevalent findings seen on the chest x-rays and CT scans of teenagers diagnosed with electronic cigarette, or vaping, product use-associated lung injury.
March 3, 2020
2020 03 02 22 56 7436 2020 03 03 Ct Evali 400
Associations
SIR issues statement on endovascular procedures for trauma
The Society of Interventional Radiology (SIR) released a position statement on the use of endovascular procedures for treating individuals with traumatic injuries in the March issue of the Journal of Vascular and Interventional Radiology.
March 2, 2020
2020 03 03 00 55 4708 Interventional Radiology Fluoroscopy 400
Advanced Visualization
3D printing improves accuracy of knee arthroplasty
A new technique that relies on 3D-printed surgical guides designed with CT data enhanced the accuracy of total knee replacement procedures and also decreased postoperative bleeding and trauma, compared with the standard technique, in a study published online on February 22 in Orthopaedic Surgery.
March 2, 2020
2020 03 02 20 42 4659 2020 03 02 3 D Printing Knee 400
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Top Stories
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
The Invisible Force Podcast Album Cover Auntminnie Jan 2026 Thumbnails
MRI
5 factors that led to California workplace MRI accident
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VLMs miss most lung nodules on chest x-rays
By Will Morton
Findings indicate poor performance of six VLMs for lung nodule detection on chest x-rays.
August 6, 2026
Chatgpt2
Patient-friendly radiology reports improve family comprehension
By Will Morton
Terminology in radiology reports can be difficult for patients and families to comprehend.
August 5, 2026
Pediatric Imaging
Early CTA leads to improved stroke outcomes for patients with BCVI
By Amerigo Allegretto
Early CTA is linked to reduced stroke, decreased complications, and reduced intensive care unit length of stay.
August 5, 2026
Ct Scanner 400
Most histotripsy procedures used for metastatic disease treatment
By Amerigo Allegretto
Trends suggest that histotripsy has low rates of procedure-related complications and is mostly performed in outpatient settings.
August 5, 2026
Liver Cancer 400
Imaging turnaround times continued to climb in 2024
By Erik L. Ridley
The largest increases were found in ultrasound and x-ray.
August 4, 2026
Radiologist Computer Screen X Ray
DBT-based foundational model classifies breast density
By Amerigo Allegretto
DBT-DINO showed strong performance in classifying breast density from DBT images.
August 4, 2026
(A) Free-response receiver operating characteristic (FROC) curve for DBT-DINO and DINOv2 (Meta AI) on the detection task. DINOv2 achieved higher sensitivity than DBT-DINO across most false-positive thresholds. (B) Detection rates of DBT-DINO and DINOv2 for lesions that were ultimately found to be benign (n = 70) and lesions that were found to be cancerous (n = 66). Error bars represent 95% CIs estimated via patient-level bootstrapping with 1000 repetitions. Both models showed similar detection rates for cancerous lesions, whereas DINOv2 detected more benign lesions than DBT-DINO. (C) Example bounding box predictions for DBT-DINO and DINOv2 on the detection test set. Each image is a single two-dimensional section from a three-dimensional digital breast tomosynthesis volume; the first column shows a mediolateral oblique view, and the second and third columns show craniocaudal views. Both models struggled to detect very small lesions, such as the 3-mm-diameter lesion shown in the first column. FP = false positive.
Liebel-Flarsheim recalls Optiray CT contrast agent
By AuntMinnie.com staff writers
The CT contrast agent may contain particulate matter comprising polyethylene, other plastic materials, stainless steel, and glass.
August 4, 2026
Ct Contrast
Can LLMs fill the communication gap with referring clinicians?
By Will Morton
LLMs could potentially help address multiple persistent pain points in radiology workflow.
August 4, 2026
Ai Head
CT-selected thrombectomy shows 1-year benefit in large-core stroke
By Will Morton
Notably, the TESLA trial used a noncontrast CT (NCCT)-alone patient selection protocol.
August 3, 2026
Aneurysm
MRI-based AI model maps local brain aging
By Amerigo Allegretto
The model showed differences in brain structures for normal cognition, mild cognitive impairment, and Alzheimer’s disease.
August 3, 2026
Mri Scan Brain
Curium to acquire Lantheus in $8 billion deal
By AuntMinnie.com staff writers
The combined company would serve oncology, neurology, and cardiology patients across more than 70 countries.
August 3, 2026
Cash Bills
Surveillance imaging doesn't improve pancreatic cancer survival
By Amerigo Allegretto
Study authors are calling for better strategies for early detection and intervention for pancreatic cysts that become malignant.
August 3, 2026
A.) Rate of imaging utilization during surveillance by year, 2008 to 2022. B.) Rate of endoscopic ultrasound (EUS) and pancreatic surgery per 100 person years, 2008 to 2022.
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