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Training Collections
Library Memberships
On-demand course library with video lectures, expert case reviews, and more
Fellowship Certificate™ Programs
Practice-focused training programs designed to help you gain experience in a specific subspecialty area.
Ultimate Learning Pass
Unlock access to our full Course Library and all self-paced Fellowships.
Continuing Medical Education (State CME)
Complete all of your state CME requirements in one convenient place.
Noon Conference (Free)
Get access to free live lectures, every week, from top radiologists.
Case of the Week (Free)
Get a free weekly case delivered right to your inbox.
Case Crunch: Rapid Case Review (Free)
Register for free live board reviews.
Dr. Resnick's MSK Conference
Learn directly from the MSK Master himself.
Lower Extremities MRI Conference
Musculoskeletal Imaging
Emergency Imaging
PET Imaging
Pediatric Imaging
For Training Programs
Supplement your training program with case-based learning for residents, registrars, fellows, and more.
For Private Practices
Upskill in high growth, advanced imaging areas.
Compliance
NewTrack, fulfill, and report on all your radiologists' credentialing and licensing requirements.
Emergency Call Prep
Prepare trainees to be on call for the emergency department with this specialized training series.
1 topic, 1 min.
7 topics, 21 min.
Welcome to Advanced Tomosynthesis Mastery Course
1 m.Introduction to Tomosynthesis (DBT) - Why Learn about Tomosynthesis?
3 m.Image Acquisition Technique, Positioning, and Physics
5 m.Screening & Diagnostic Performance of Tomosynthesis
4 m.CAD/AI in Tomosynthesis
2 m.Image Quality and Common Artifacts
8 m.Motion Artifact Case Example on Tomosynthesis
2 m.5 topics, 23 min.
10 topics, 29 min.
Normal Findings - Palpable Lump Focal Fibroglandular Tissue
4 m.Normal Findings - Palpable Lump Unilateral Axillary
4 m.Normal Findings - Palpable Lump Bilateral Axillary
4 m.Normal Findings - Screening Mammogram - Calcifications
3 m.Normal Findings - Screening Mammogram - Dermal Calcifications
3 m.Normal Findings - Screening Mammogram - Deodorant Artifact Example 1
4 m.Normal Findings - Screening Mammogram - Deodorant Artifact Example 2
3 m.Normal Findings - Screening Mammogram - Deodorant Artifact Example 3
2 m.Normal Findings - History of Lumpectomy
4 m.Normal Findings - Diagnostic Mammogram after Right Breast Masses on Screening
4 m.8 topics, 24 min.
Mammographic Asymmetries and Masses - Overview
7 m.Asymmetry - Invasive Ductal Carcinoma
3 m.Focal Asymmetry - Focal Fibroglandular Tissue - Benign
4 m.Developing Asymmetry
4 m.Solitary Mass - Fibroadenoma
2 m.Solitary Mass - Malignancy
3 m.Multiple, Bilateral Masses - Case 1
3 m.Multiple, Bilateral Masses - Case 2
2 m.3 topics, 4 min.
8 topics, 18 min.
5 topics, 17 min.
Architectural Distortion on Tomosynthesis - Imaging & Management - Overview
6 m.Pseudodistortion on Screening Mammogram, Normal on DBT
4 m.Architectural Distortion - Radial Scar / Complex Sclerosing Lesion
4 m.Architectural Distortion - Radiating Lines, Asymmetry / Invasive Ductal Carcinoma (IDC)
3 m.Architectural Distortion - Radiating Lines, Mass / Invasive Lobular Carcinoma (ILC)
3 m.8 topics, 22 min.
Calcifications on Tomosynthesis - Overview
5 m.Pseudocalcifications - Case 1
3 m.Pseudocalcifications - Case 2
3 m.Calcifications - Typically Benign - Milk of Calcium - Case 1
3 m.Calcifications - Typically Benign - Milk of Calcium - Case 2
2 m.Calcifications - Suspicious - Amorphous / Malignancy (BI-RADS 4B)
4 m.Calcifications - Suspicious - Coarse Heterogeneous / Benign
2 m.Calcifications - Suspicious - Segmental Fine Linear Branching / Invasive Ductal Carcinoma (BI-RADS 4C)
4 m.7 topics, 18 min.
Associated Nipple Retraction, Palpable Mass / Invasive Ductal Carcinoma
3 m.Axillary Adenopathy - Unilateral / Chronic Lymphocytic Leukemia (CLL)
3 m.Axillary Adenopathy - Bilateral / History of Chronic Lymphocytic Leukemia (CLL)
2 m.Skin Thickening - Prior Lumpectomy, Post Radiation
2 m.Skin Thickening, Asymmetry - Inflammatory Carcinoma / Invasive Ductal Carcinoma
4 m.Skin Thickening, Calcifications - Inflammatory Carcinoma / Invasive Ductal Carcinoma
3 m.Skin Thickening, Mass - Locally Advanced Breast Carcinoma
3 m.9 topics, 19 min.
Post Breast Reduction - Case 1
4 m.Post Breast Reduction - Case 2
2 m.Post Breast Reduction - Case 3
2 m.Post Lumpectomy - Benign Findings - Case 1
3 m.Post Lumpectomy - Benign Findings - Case 2
2 m.Post Lumpectomy - Recurrence
5 m.Post Lumpectomy - Benign Fat Necrosis
3 m.Silicone Injection
3 m.Concluding Remarks
1 m.0:00
So, uh, just to start here, I'm gonna go over
0:02
a little bit of, uh, why to take this course,
0:04
why, why it might be of interest to you.
0:06
Um, uh, some background on tomosynthesis.
0:09
We're gonna talk about image acquisition and,
0:11
uh, and technique, um, and how that might
0:13
be a little bit different from standard,
0:15
um, 2D or full-field digital mammography.
0:18
I'll talk a little about, um, reviewing screening
0:20
and diagnostic performance of tomo and why it's
0:23
become an increasingly, uh, popular, uh, modality
0:26
or method for, uh, detecting breast cancers.
0:29
And then, uh, finally review just a
0:31
little bit on, um, CAD and CAD-AI, uh, and
0:34
applications of those in, uh, tomosynthesis.
0:39
So, um, as I mentioned, uh, DBT, I'm, I'm gonna
0:42
refer to it as DBT probably throughout our course,
0:45
uh, here, uh, just because it'll be easier.
0:47
Uh, it's becoming increasingly common, uh, in breast
0:49
imaging practices, particularly in the United States.
0:52
Um, when I started fellowship, uh, in
0:54
2014, um, tomosynthesis, at least in our
0:57
practice, was just barely getting started.
0:58
We maybe did 10 DBT exams a day out
1:02
let's say 150 screeners.
1:04
Uh, now our practice is completely flipped,
1:07
where we might do 10 or 20, uh, full-field,
1:11
uh, 2D exams, and the rest are tomosynthesis.
1:13
So the world has completely changed, uh,
1:16
in terms of breast imaging since that time.
1:19
Uh, and I think this is true
1:20
across many practices in the U.S.
1:23
Um, and the reason this is because DBT
1:25
has become a well-established improvement
1:27
over standard, uh, 2D mammography.
1:31
Um, uh, like I said, we're gonna review some
1:34
sort of classic cases, uh, here, and this will
1:36
be important for, um, getting up to speed on
1:39
tomosynthesis and incorporating it into your practice.
1:41
Um, we're gonna understand the imaging appearance of
1:43
the classic findings and how DBT improves accuracy,
1:46
and of course, reviewing this, uh, kind of thing.
1:48
We'll just improve your confidence
1:49
in daily interpretation.
1:52
So, uh, as you all probably know, traditional,
1:55
uh, digital screening or full-field digital
1:59
is limited in its sensitivity for women, right?
2:03
We know.
2:05
If you look at the sensitivity of mammography, it's
2:07
highest in those with completely fatty, uh, breasts.
2:10
And its, uh, sensitivity is the least in
2:13
those, one with extremely dense breasts.
2:15
Um, so DBT can really help improve
2:18
to see through that tissue.
2:21
Traditional screening also hampered
2:22
by high false positives, right?
2:23
Related to that tissue overlap or superimposition.
2:28
DBT was approved initially by the FDA in 2011.
2:30
Um, and as mentioned, becoming the
2:32
standard of care in breast imaging.
Interactive Transcript
0:00
So, uh, just to start here, I'm gonna go over
0:02
a little bit of, uh, why to take this course,
0:04
why, why it might be of interest to you.
0:06
Um, uh, some background on tomosynthesis.
0:09
We're gonna talk about image acquisition and,
0:11
uh, and technique, um, and how that might
0:13
be a little bit different from standard,
0:15
um, 2D or full-field digital mammography.
0:18
I'll talk a little about, um, reviewing screening
0:20
and diagnostic performance of tomo and why it's
0:23
become an increasingly, uh, popular, uh, modality
0:26
or method for, uh, detecting breast cancers.
0:29
And then, uh, finally review just a
0:31
little bit on, um, CAD and CAD-AI, uh, and
0:34
applications of those in, uh, tomosynthesis.
0:39
So, um, as I mentioned, uh, DBT, I'm, I'm gonna
0:42
refer to it as DBT probably throughout our course,
0:45
uh, here, uh, just because it'll be easier.
0:47
Uh, it's becoming increasingly common, uh, in breast
0:49
imaging practices, particularly in the United States.
0:52
Um, when I started fellowship, uh, in
0:54
2014, um, tomosynthesis, at least in our
0:57
practice, was just barely getting started.
0:58
We maybe did 10 DBT exams a day out
1:02
let's say 150 screeners.
1:04
Uh, now our practice is completely flipped,
1:07
where we might do 10 or 20, uh, full-field,
1:11
uh, 2D exams, and the rest are tomosynthesis.
1:13
So the world has completely changed, uh,
1:16
in terms of breast imaging since that time.
1:19
Uh, and I think this is true
1:20
across many practices in the U.S.
1:23
Um, and the reason this is because DBT
1:25
has become a well-established improvement
1:27
over standard, uh, 2D mammography.
1:31
Um, uh, like I said, we're gonna review some
1:34
sort of classic cases, uh, here, and this will
1:36
be important for, um, getting up to speed on
1:39
tomosynthesis and incorporating it into your practice.
1:41
Um, we're gonna understand the imaging appearance of
1:43
the classic findings and how DBT improves accuracy,
1:46
and of course, reviewing this, uh, kind of thing.
1:48
We'll just improve your confidence
1:49
in daily interpretation.
1:52
So, uh, as you all probably know, traditional,
1:55
uh, digital screening or full-field digital
1:59
is limited in its sensitivity for women, right?
2:03
We know.
2:05
If you look at the sensitivity of mammography, it's
2:07
highest in those with completely fatty, uh, breasts.
2:10
And its, uh, sensitivity is the least in
2:13
those, one with extremely dense breasts.
2:15
Um, so DBT can really help improve
2:18
to see through that tissue.
2:21
Traditional screening also hampered
2:22
by high false positives, right?
2:23
Related to that tissue overlap or superimposition.
2:28
DBT was approved initially by the FDA in 2011.
2:30
Um, and as mentioned, becoming the
2:32
standard of care in breast imaging.
Report
Faculty
Ryan W. Woods, MD, MPH
Assistant Professor of Radiology
University of Wisconsin School of Medicine and Public Health
Tags
Women's Health
Tomosynthesis
Oncologic Imaging
Mammography
Breast
AI Technologies
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