K113356 · Hologic, Inc. · KGI · Mar 6, 2012 · Radiology
Device Facts
Record ID
K113356
Device Name
HOLOGIC VISCERAL FAT SOFTWARE
Applicant
Hologic, Inc.
Product Code
KGI · Radiology
Decision Date
Mar 6, 2012
Decision
SESE
Submission Type
Traditional
Regulation
21 CFR 892.1170
Device Class
Class 2
Indications for Use
The Hologic Visceral Fat Software used on Hologic Discovery bone densitometer total body scans estimates the visceral adipose tissue (visceral fat) content within the android region in an adult male or female population, excluding pregnant women. The content that is estimated is the Visceral Fat Area, Visceral Fat Mass, and Visceral Fat Volume. These values can be displayed in user-defined statistical formats and trends. The estimated visceral fat content is useful to health care professionals in their management of diseases/conditions where the disease/condition itself, or its treatment can affect the relative amounts of visceral fat content in the android region. The Hologic Visceral Fat software does not diagnose disease, or recommend treatment regimens, or quantify treatment effectiveness. Only the health care professional can make these judgments. Some of the diseases, conditions for which visceral fat estimation is useful include hypertension, impaired fasting glucose, impaired glucose tolerance, diabetes mellitus, dyslipidemia, and metabolic syndrome.
Device Story
Software extension for Hologic Discovery bone densitometers; processes total body DXA scan data to estimate visceral adipose tissue in the android region. Outputs include Visceral Fat Area, Mass, and Volume. Used by healthcare professionals in clinical settings to monitor visceral fat trends in patients with metabolic conditions. Does not diagnose, recommend treatment, or quantify treatment efficacy; serves as an adjunct tool for clinical management. Results integrated into Adipose Indices section of body composition reports.
Clinical Evidence
Bench testing only. Testing demonstrated that the software meets all functional requirements and performance specifications.
Technological Characteristics
Software-based estimation of visceral fat from DXA total body scans. Operates on Hologic Discovery bone densitometer hardware. Provides quantitative outputs (area, mass, volume) for the android region.
Indications for Use
Indicated for adult males and females, excluding pregnant women, to estimate visceral adipose tissue (area, mass, volume) in the android region for management of conditions like hypertension, diabetes, dyslipidemia, and metabolic syndrome.
Regulatory Classification
Identification
A bone densitometer is a device intended for medical purposes to measure bone density and mineral content by x-ray or gamma ray transmission measurements through the bone and adjacent tissues. This generic type of device may include signal analysis and display equipment, patient and equipment supports, component parts, and accessories.
Hologic NHANES Whole Body DXA Reference Database (K103265)
Submission Summary (Full Text)
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Hologic Visceral Fat Software 510(k) Premarket Notification
## KII 3.356 1 of 3
# Section 5 -510(k) Summary
## 1 Manufacturing Establishment and Contact Information
MAR - 6 2012
## Manufacturer Name and Address: 1.1
Hologic, Inc. 35 Crosby Drive Bedford, MA 01730
## 1.2 Establishment Registration Number:
1221300
### 1.3 Name, Title, and Telephone Number of Contact:
Name: Eileen M. Boyle Regulatory Affairs Specialist II Title: (781) 999-7781 Phone: (866) 652-8674 Fax : eileen.boyle@hologic.com
## Device Identification 2
### 2.1 Device Trade Name:
Hologic Visceral Fat Software
## 2.2 Common / Usual Name:
Software for Bone Densitometers
## 2.3 Proposed Intended Use:
The Hologic Visceral Fat Software used on Hologic Discovery bone densitometer total body scans estimates the visceral adipose tissue (visceral fat) content within the android region in an adult male or female population, excluding pregnant women. The content that is estimated is the Visceral Fat Area, Visceral Fat Mass, and Visceral Fat Volume. These values can be displayed in user-defined statistical formats and trends.
The estimated visceral fat content is useful to health care professionals in their management of diseases/conditions where the disease/condition itself, or its treatment can affect the relative amounts of visceral fat content in the android region. The Hologic Visceral Fat software does not diagnose disease, or recommend treatment regimens, or quantify treatment effectiveness. Only the health care professional can make these judgments. Some of the diseases, conditions for which visceral fat estimation is useful include hypertension, impaired fasting glucose, impaired glucose tolerance, diabetes mellitus, dyslipidemia, and metabolic syndrome.
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Hologic, Inc .: November 10, 2011
## Hologic Visceral Fat Software 510(k) Premarket Notification
## KII 3356 2 of
## Device Classification 3
#### 3.1 Classification:
Class II
#### 3.2 Classification Name and Rule
Bone Densitometer: 21 CFR 892.1170
#### Classification Panel 3.3
Radiology
#### 3.4 Product Code
વે જણાવાદ તાલુકામાં આવેલું એક ગામના લોકોનો મુખ્ય વ્યવસાય ખેતી, ખેતમજૂરી તેમ જ પશુપાલન છે. આ ગામમાં મુખ્યત્વે ખેત
#### 3.5 Predicate Devices
- . 510(k) No.: K103730 Trade Name: GE Lunar Visceral Fat Software SE Date: 5/6/2011 Manufacturer: GE Medical Systems Lunar
- . 510(k) No.: K103265 Hologic NHANES Whole Body DXA Reference Database Trade Name: SE Date: · 3/16/2011 Manufacturer: Hologic, Inc.
## Device Description 4
The proposed Hologic® Visceral Fat Software provides an estimate of a patient's visceral fat in the abdominal region of a whole body scan. The results are included in the Adipose Indices section of the Hologic Discovery bone densitometer's body composition report.
### 5 Performance Testing
Testing was successfully conducted and demonstrates that the Hologic Visceral Fat Software meets all of its functional requirements and performance specifications.
#### 5 Substantial Equivalence
The Hologic® Visceral Fat Software is substantially equivalent to commercially available devices used for the estimation of a patient's visceral fat. The predicate devices selected for comparison are the GE Lunar Visceral Fat Software Option (K103730) and the Hologic NHANES Whole Body DXA Reference Database (K103265). The predicate devices provide substantially equivalent or the same intended use, features and functions as the proposed device.
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Hologic, Inc.: November 10, 2011
Hologic Visceral Fat Software 510(k) Premarket Notification
## Conclusion: 6
KI13356 R 3 of 3
. The Hologic Visceral Fat Software is an extension of the cleared Discovery NHANES Whole Body DXA Reference Database (K103265). The features and functions are substantially equivalent to those of the indicated commercially distributed device (GE Lunar Visceral Fat Software K103730) with regard to intended use, performance, safety and effectiveness
Hologic Proprietary and Confidential
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Image /page/3/Picture/0 description: The image shows the logo for the U.S. Department of Health & Human Services. The logo consists of a circular seal with the text "DEPARTMENT OF HEALTH & HUMAN SERVICES • USA" arranged around the perimeter. Inside the circle is a stylized image of an eagle with three wings.
# DEPARTMENT OF HEALTH & HUMAN SERVICES
Public Health Service
Food and Drug Administration 10903 New Hampshire Avenue Document Control Room - WO66-G609 Silver Spring, MD 20993-0002
MAR - 6 2012
Ms. Eileen M. Boyle Regulatory Affairs Specialist II Hologic, Inc. 35 Crosby Drive BEDFORD MA 01730
Re: K113356
Trade/Device Name: Hologic Visceral Fat Software Regulation Number: 21 CFR 892.1170 Regulation Name: Bone densitometer Regulatory Class: II Product Code: KGI Dated: February 29, 2012 Received: March 1, 2012
Dear Ms. Boyle:
We have reviewed your Section 510(k) premarket notification of intent to market the device w one reviewed your and have determined the device is substantially equivalent (for the indications for use stated in the enclosure) to legally marketed predicate devices marketed in interstate commerce prior to May 28, 1976, the enactment date of the Medical Device Amendments, or to devices that have been reclassified in accordance with the provisions of the Federal Food, Drug, and Cosmetic Act (Act) that do not require approval of a premarket approval application (PMA). and Cosmetic roll (1 ret) that as novice, subject to the general controls provisions of the Act. The I ou may, merelore, market the act include requirements for annual registration, listing of devices, good manufacturing practice, labeling, and prohibitions against misbranding and adulteration.
If your device is classified (see above) into class II (Special Controls), it may be subject to such 11 your device is classified (200 acorregulations affecting your device can be found in Title 21, Code of Federal Regulations (CFR), Parts 800 to 895. In addition, FDA may publish further announcements concerning your device in the Federal Register.
Please be advised that FDA's issuance of a substantial equivalence determination does not mean I lease of advisod that I Dr o retime that your device complies with other requirements of the Act that I DA has made a actorized administered by other Federal agencies. You must or any I catales and regarments, including, but not limited to: registration and listing (21 Compy with an the Fee of requirements 801 and 809); medical device reporting (reporting of
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medical device-related adverse events) (21 CFR 803); and good manufacturing practice requirements as set forth in the quality systems (QS) regulation (21 CFR Part 820). This letter will allow you to begin marketing your device as described in your Section 510(k) premarket whil anow you to organ maing of substantial equivalence of your device to a legally marketed nothicate device results in a classification for your device and thus, permits your device to proceed to the market.
If you desire specific advice for your device on our labeling regulation (21 CFR Parts 801 and 809), please contact the Office of In Vitro Diagnostic Device Evaluation and Safety at (301) 796-5450. Also, please note the regulation entitled, "Misbranding by reference to premarket notification" (21 CFR Part 807.97). For questions regarding the reporting of adverse events under the MDR regulation (21 CFR Part 803), please go to
http://www.fda.gov/MedicalDevices/Safety/ReportaProblem/default.htm for the CDRH's Office of Surveillance and Biometrics/Division of Postmarket Surveillance.
You may obtain other general information on your responsibilities under the Act from the Division of Small Manufacturers, International and Consumer Assistance at its toll-free number (800) 638-2041 or (301) 796-7100 or at its Internet address http://www.fda.gov/cdrh/industry/support/index.html.
Sincerely Yours,
Janine M. Morris
Janine M. Morris Acting Director Division of Radiological Devices Office of In Vitro Diagnostic Device Evaluation and Safety Center for Devices and Radiological Health
Enclosure
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Hologic, Inc .: November 10, 2011
Hologic Visceral Fat Software 510(k) Premarket Notification
## SECTION 4 - INDICATIONS FOR USE
K113356
510(k) Number (if known): Device Name:
The Hologic Visceral Fat Software used on Hologic Discovery bone densitometer total body scans estimates the visceral adipose tissue (visceral fat) content within the android region in an adult male or female population, excluding pregnant women. The content that is estimated is the Visceral Fat Area, Visceral Fat Mass, and Visceral Fat Volume. These values can be displayed in user-defined statistical formats and trends.
The estimated visceral fat content is useful to health care professionals in their management of diseases/conditions where the disease/condition itself, or its treatment can affect the relative amounts of visceral fat content in the android region. The Hologic Visceral Fat software does not diagnose disease, or recommend treatment regimens, or quantify treatment effectiveness. Only the health care professional can make these judgments. Some of the diseases, conditions for which visceral fat estimation is useful include hypertension, impaired fasting glucose, impaired glucose tolerance, diabetes mellitus, dyslipidemia, and metabolic syndrome.
Prescription Use X (Part 21 CFR 801 Subpart D)
AND/OR
ffice of Device Evaluation (ODE)
Over-The-Counter Use (21 CFR 807 Subpart C)
(PLEASE DO NOT WRITE BELOW THIS LINE-CONTINUE ON ANOTHER PAGE OF NEEDED)
Concurrence of CDRH, C
(Division Sign-Off)
Division of Radiological Devices
Office of in Vitro
510K K1133
Hologic Proprietary and Confidential
Page 1 of 1
Section 4
Two short videos show you everything — or skip straight to the written tutorial if you'd rather read. You can reopen this any time from the Tutorial button in the top bar.
Part 1 — Search, results, and everyday workflows 16 min
Part 2 — Embeddings: the galaxy map 3 min
1. Search: exact and fuzzy
Type a phrase like "coronary artery calcification" into the search box. You get two kinds of results. Exact results match the literal phrase — prefix searches work ("coronary artery calcificati") but suffix searches do not. Fuzzy results match on the meaning and intent of your phrase rather than the exact words, and are sorted by relevance score. Hover over the Exact or Fuzzy badge on any row to see exactly why it matched.
Use the checkboxes above the results to narrow: SaMD keeps only software-only devices, AI / ML keeps only devices with AI.
Exact vs. fuzzy search: what's the difference?
Exact matches on the literal phrase (prefix search works, suffix does not). Fuzzy matches on the meaning and intent of the phrase rather than the exact words. Hover over the badge on any row to see why it matched.
You search "coronary artery calcification" and want only software devices with AI. What two filters do you apply?
Narrow by SaMD (software-only devices), then narrow by AI/ML (devices with AI).
2. The results table
Scroll right in the results table. The intended use is extracted for you — no need to open the PDF. The device story gives a high-level snapshot of what the device does and how it's used. The AI Performance sub-table shows each output name, acceptance criteria, observed values, and development/test dataset descriptions — the same format Innolitics uses for regulatory strategy outputs, and the fastest high-level fingerprint of an AI device. It is AI-generated but has been very reliable in practice.
Where do you find a device's intended use without opening the PDF?
Scroll right in the search results table. The intended use column is extracted for you; no need to dig into the 510(k) summary PDF.
What does the AI Performance sub-table show, and why is it useful?
Output name, acceptance criteria, observed values, development dataset description, and test dataset description. It's the same format we use for regulatory strategy output and Fast 510(k) input, and the fastest high-level fingerprint of an AI device. AI-generated but reliable in practice.
3. Judging fuzzy relevance
Fuzzy results trail off in relevance as you scroll. Use three signals to decide how far down to go: the fuzzy badge explanations, the intended use column, and whether your target output (e.g., Cobb angle) still appears in the AI Performance sub-table. Once it stops appearing, you're past the relevant zone. A top hit with a low score (~0.4) and a stretched explanation is a hint the closest predicates are far away — the project may be headed for De Novo. Note the fuzzy search is a pattern match: it doesn't handle negation ("not") well, and hardware devices can appear — filter by SaMD/AI ML to cut them.
How do you judge how far down fuzzy search results to go?
Use the relevancy signals: the fuzzy badge explanations, the intended use column, and whether the target output (e.g., Cobb angle) still appears in the AI Performance sub-table. Once it stops appearing, results are trailing off in relevancy.
4. Device detail page: chat and citations
Click a device name to open its detail page: device facts on the left, a chat window on the right. Ask something like "Describe the training data". The answer carries little citation bubbles — click one to jump to the highlighted passage in the source PDF, so you can verify every AI answer against the document. There's also a Download PDF button for sharing.
How do you verify an AI chat answer on the device detail page?
Click the citation bubbles to jump to the relevant highlight in the source document.
Reading rule for every project: how many summaries do you read in full?
At least the three most relevant 510(k) or De Novo summaries, in full. After that, use targeted chat questions to confirm your memory quickly. The tool supports this professional habit — it doesn't replace it.
5. Side-by-side comparison
Select multiple rows in the results table (aim for under ~10), then open the PDF Viewer tab. Ask one question — it goes to all selected devices in parallel, each with citations. This is the fastest way to compare and contrast devices: training data, PCCP scope, how they handled adding new scanners, and so on.
What does the side-by-side PDF viewer mode do?
Select multiple devices, open the PDF viewer tab, and ask one question (e.g., "Describe the training data"). It queries all selected devices simultaneously with citations, so you can compare and contrast quickly.
6. Collections
With rows selected, go to the Collections tab and create a labeled collection (e.g., "Cobb Angle Project"). Reload that selection any time — before a client call, pull up the collection and ask questions across all of its devices at once.
How do you save a set of selected devices for later use?
Select the rows, go to the Collections tab, and create a labeled collection (e.g., "Cobb Angle Project"). You can reload the selection anytime and carry it into the PDF viewer and other tabs that support selections.
7. Product codes and the regulations tree
Click a product code in the results to jump to it in the regulations tree — identification text, sibling product codes, and devices you can open in a PDF viewer on the right. Click a regulation number to see its identification, special controls, and related product codes. You can also search by product code or regulation number at the top of the tree. Always read the special controls if any exist for your device — it broadens your search and sharpens pre-kickoff research.
What can you do from the regulations tree view?
Browse product codes and regulation numbers, read the identification text and special controls, browse sibling product codes, open device PDFs on the right, and search by product code or regulation number at the top of the tree.
8. Chart view
Click Show Chart and segment by regulation number (or product code) to see which regulations dominate your result set. Clicking a regulation takes you into the regulations tree. Great for spotting that most matches are, say, hardware laparoscopic devices — a cue to go back and filter.
How do you see which regulations dominate a search result set?
Click "Show Chart" and segment by Regulation Number. Clicking a regulation takes you to the regulations tree.
9. The predicate graph
Open the Predicates tab for a family-tree view of predicate relationships. Click a node to trace its parents and children; selections from search carry over pre-selected. Commonly predicated devices are worth reading — a lot of people predicated them for a reason. The visual lineage is also handy on client calls, e.g. to show how a predicate family evolved and justify why your predicate still holds.
In the predicate graph, why are commonly predicated devices worth reading?
A lot of people predicated them for a reason. Clicking a node traces parents and children, and selections from search carry over pre-selected.
10. Embeddings: the galaxy map
The Embeddings tab plots every matching document in a 2-D "galaxy map" where semantically similar devices cluster together. Hover or click clusters to explore, and let AI label the clusters for you. Embeddings beat product codes for grouping: two devices can carry different product codes (LLZ vs. QIH) yet do the same thing — the embedding captures the meaning of the intended use and device story. This is also exactly how retrieval-augmented generation (RAG) works under the hood, and it makes a great visual on client calls.
Try it yourself
Head to the search page and work through a few of these AI/ML fuzzy searches to build intuition: perivascular fat on CT · aortic valve calcification opportunistic screening on noncontrast CT · breast cancer prediction on digital pathology slides · autism detection · gestational age prediction · a hearing aid that can also detect a pulse · foundation model based analysis of ECG · large language models · penetration test. Watch how the relevance scores, intended use, and AI Performance tables tell you when results stop being meaningful.