Pathology Review: Gynecologic, Genitourinary, and Gastrointestinal Pathology

Feb 9th, 2013Feb 14th, 2013

Snowmass Village, CO

US

http://edusymp.com/product/details/439

Phone:800-338-5901

This seminar is designed to provide a practical review of gynecologic, gastrointestinal, and genitourinary pathology for the general pathologist. Faculty will discuss basic to advanced techniques and pitfalls and pearls to pathology diagnosis.

Radiologist Computer Screen X Ray

Imaging turnaround times continued to climb in 2024

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.

DBT-based foundational model classifies breast density

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Liebel-Flarsheim recalls Optiray CT contrast agent

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Can LLMs fill the communication gap with referring clinicians?

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Imaging turnaround times continued to climb in 2024

By Erik L. Ridley

The largest increases were found in ultrasound and x-ray.

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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

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The CT contrast agent may contain particulate matter comprising polyethylene, other plastic materials, stainless steel, and glass.

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Can LLMs fill the communication gap with referring clinicians?

LLMs could potentially help address multiple persistent pain points in radiology workflow.

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CT-selected thrombectomy shows 1-year benefit in large-core stroke

Notably, the TESLA trial used a noncontrast CT (NCCT)-alone patient selection protocol.

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MRI-based AI model maps local brain aging

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The model showed differences in brain structures for normal cognition, mild cognitive impairment, and Alzheimer’s disease.

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Curium to acquire Lantheus in $8 billion deal

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The combined company would serve oncology, neurology, and cardiology patients across more than 70 countries.

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Surveillance imaging doesn't improve pancreatic cancer survival

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Study authors are calling for better strategies for early detection and intervention for pancreatic cysts that become malignant.

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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.

ED patients prefer empathetic communication for incidental findings

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Incorporating patient preferences into communication may improve understanding and follow-up in addressing incidental findings.

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PET/MRI detects arterial inflammation in prostate cancer patients

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Representative axial fused F-18 FDG-PET/MRI images and corresponding anatomic MRI images from a patient imaged at baseline and after initiation of androgen deprivation therapy are shown. Each row displays a distinct vascular territory. White arrows indicate focal areas of increased tracer uptake within the arterial wall, where spherical volumes of interest (VOIs) were placed for maximum standardized uptake value (SUVmax) measurement. Additional VOIs were placed in the superior vena cava and inferior vena cava for blood-pool activity sampling. SUVmax values from the arterial VOIs were extracted on the corresponding PET images and normalized to the blood-pool mean standardized uptake value to derive the maximum target-to-background ratio.

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Minnie Cast Thumbnail (17)

Podcast: The PACSMan Pontificates, Episode 4: The perfect PACS

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In episode 4 of his The PACSMan Pontificates podcast series, Michael J. Cannavo shares his thoughts on the quest for the perfect PACS.

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Pacs Man Pontification

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