AMA Clinical Examples in Radiology - 2022 Issue 1 (Winter)
Quantitative Ultrasound Tissue Characterization (Non-Elastographic)
CLINICAL EXAMPLE 1 Quantitative Ultrasound Tissue Characterization (Non-Elastographic) CLINICAL HISTORY A 40-year-old female presents with a noncalcified oval mass with circumscribed margins in the right breast at the 6 o'clock position at anterior depth detected on a baseline screening mammography with digital breast tomosynthesis. Right breast ultrasound is recommended for further evaluation. No known family history of cancer. No history of hormone replacement therapy. TECHNIQUE Targeted real-time grayscale and color Doppler imaging of the right breast was performed. Quantitative ultrasound tissue characterization software was used. COMPARISON None. FINDINGS Corresponding to the finding on mammography, there is a 5 x...
Subscribe or sign in to view the full article.
Article Overview
This coding article explains a diagnostic imaging example involving quantitative ultrasound tissue characterization in a breast ultrasound workflow. It is useful for coders, radiology practices, and billing staff who need to understand the general reporting context, associated code sets, and the broader documentation elements referenced by the article.
Why This Topic Matters
The article helps readers recognize how this type of ultrasound-related service is discussed within radiology coding guidance and how it fits into a broader imaging encounter. It is relevant for understanding the scope of the service, the applicable code sets referenced, and the documentation context described in the example.
Article Sections
-
Clinical Example 1
Presents a breast imaging scenario used to illustrate the diagnostic context for the service discussed in the article.
-
How to Code
Summarizes the reporting context for the encounter and identifies the code sets referenced for the imaging service and related diagnosis.
-
Discussion
Provides general background on the technology, how it is categorized in coding guidance, and the broader radiology documentation context addressed by the article.
What You Will Learn
- How the article frames quantitative ultrasound tissue characterization in a diagnostic breast imaging setting.
- What broad coding domains are referenced for the imaging service and related diagnosis.
- How the discussion situates the service within radiology coding guidance and reporting context.
- intended_audiences":["Radiology coders","Medical billers","Imaging practice staff","Compliance teams","Physician documentation reviewers"],"topics":["diagnostic ultrasound","breast imaging","tissue characterization","radiology coding","clinical documentation","reporting context"],"medical_specialties":["Radiology","Breast imaging"],"code_sets":["CPT","HCPCS Level II","ICD-10-CM"],"codes":[{"code_set":"CPT","code":"76642"},{"code_set":"HCPCS Level II","code":"0690T"},{"code_set":"HCPCS Level II","code":"0689T"},{"code_set":"ICD-10-CM","code":"N63.15"},{"code_set":"ICD-10-CM","code":"N63.25"},{"code_set":"ICD-10-CM","code":"N63.21"},{"code_set":"ICD-10-CM","code":"N63.23"}],"code_ranges":[{"code_set":"CPT","range":"76981-76983","start_code":"76981","end_code":"76983"}],"modifiers":[],"content_type":"clinical coding article","effective_dates":["2022-01-01","Summer 2019","2022"],"organizations_mentioned":["American Medical Association","American College of Radiology","CPT Editorial Panel","Centers for Medicare & Medicaid Services"],"keywords":["quantitative ultrasound tissue characterization","non-elastographic","decision support software","artificial intelligence","machine learning","BI-RADS","breast mass","ultrasound examination","add-on code","diagnostic imaging"],"questions_answered":["What is the article about in broad coding and imaging terms?","Which code sets are referenced in the discussion of this imaging example?","What broader documentation and reporting context is described for the encounter?"],"access_description":"Premium coding article with a clinical example, code-reporting discussion, and background explanation for a radiology imaging topic.","disclosure_check":{"contains_code_descriptions":false,"contains_modifier_descriptions":false,"contains_actionable_coding_instructions":false,"contains_article_conclusions":false,"contains_detailed_examples":false}}}】]}】into final 手机天天彩票json }##assistant to=final 腾讯天天中彩票ಲು>{
- :null}]}}`} />}}
Who Should Read This
- Radiology coders
- Medical billers
- Imaging practice staff
- Compliance teams
- Physician documentation reviewers
Codes Discussed
Code Ranges Discussed
Subscribe or sign in to view the full article.
Quick, Current, Complete - www.findacode.com
