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Typical UIP and Probable UIP

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So here's our typical UIP

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or sometimes people will still call it UIP pattern.

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And so this is our highest competence pattern of UIP.

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And so what are we looking for in HR ct?

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You wanna see peripheral basal predominant

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pulmonary fibrosis.

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So you're gonna see reticulation,

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these small little lines superimposed on each other

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with associated subpleural honeycombing.

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So these fibrotic cysts which are lining up in rows and

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or stacking upon each other within the most peripheral

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portion of the lung, you can have associated traction

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bronchiectasis, but you don't need traction bronchiectasis

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to define this pattern.

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The last part's very important.

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You wanna have absence of features

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that would be non-consistent with UIP.

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So things that that would be pushing you away from

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UIP diagnostic pattern.

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Things like significant air trapping,

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diffuse nodule lung disease or abnormal distributions.

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And here's the classic pattern of UIP here.

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I think a medical student probably could make

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this diagnosis quite easily.

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Uh, peripheral basal predominant

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with these sequential axial images.

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Clearly honeycombing.

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Look at these beautiful honeycomb cysts lining up in rows

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and clearly stacking upon each other.

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No other findings that suggest alternative diagnosis.

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This is gonna be UIP.

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Another example of UIP here.

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I think the coronal reformations are really helpful

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for these HRCT scans.

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In terms of distribution,

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we can clearly tell this coronal reformation

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that there is a basal gradient.

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The lung bases are more severely affected than the

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upper aspect of lungs.

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And this looks to be a peripheral disease process.

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So on one coronal slice we can be pretty confident.

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This is a peripheral basal predominant process

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and we see plenty of subpleural honeycomb.

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Let's blow this up so you can see it.

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Beautiful honeycomb cyst lining up in rows,

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stack you upon each other.

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Take you to the bank. This is going to be UIP.

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Okay, another example here, UIP.

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This is less floored case,

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but on this axial slice we clearly see

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that it's peripheral lung preponderance.

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Pull up the coronal

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and again, coronal is so great for distributions.

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Clearly basal predominant looks, peripheral predominant.

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And you see these small subpleural cysts.

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The beauty of this high confidence UIP pattern is

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that you've essentially obviated sub surgical lung biopsy.

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You just don't need to do it.

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So at least 95% of the time,

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if you have this pattern on HRCT,

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you're gonna get UIPN pathology.

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That's pretty much as high

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as you can get in terms of any sort of test.

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Very, very high. So in these cases, we seldom,

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if ever we'll even think about getting surgical lung biopsy.

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And so this is quite, quite helpful.

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We almost now will equate this pattern

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to a UIP pattern on pathology.

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Now let's talk about probable UIP.

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And so the beauty of probable UIP is that if you know

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what the high confidence typical UIP pattern looks like on

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ct, you know a probable UIP pattern looks like on

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HRCT. And so

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It's peripheral base and predominant.

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And in this setting you also wanna see some traction

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bronchiectasis or bronchiectasis.

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'cause the main difference between this probable UIP pattern

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and the more high competence UIP pattern is

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that there's no honeycombing in probable UIP.

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So because there's no honeycombing,

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we wanna see other findings of definitive fibrosis.

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And that's gonna be the traction bronchiectasis

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or bronchiectasis telling us

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that indeed this isn't just mild reticulation,

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mild ground LACS opacity.

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There is real fibrosis within that lung parenchyma.

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And the most high confidence way to tell

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that is if there's either honeycombing and

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or traction bronchiectasis.

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So in this disease setting, we wanna see some traction,

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bronchiectasis or bronchiectasis.

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And again, nothing else that draws you away from

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a diagnosis of UIP.

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So things like air trapping,

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nodule lung disease, abnormal distributions.

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So a lot of these probable UIP cases, bottom line,

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they look like just less severe cases

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of the more floored UIP.

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And so here's an example here.

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Sequential axial images, clearly basal predominance,

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clearly peripheral and preponder as well.

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Some mild subpleural traction.

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Bronchiectasis and bronchiectasis, no honeycombing though.

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So if you look carefully, there's no

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fibrotic cysts which are lining up in rows

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or stack upon each other.

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So problem UIP.

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So I talked about the typical UIP pattern

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and a strong correlation with pathology.

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Let's talk about the problem UIP pattern.

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So this used to be contentious.

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I don't think it's contentious anymore.

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So as I alluded to

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before, if you have this high confidence,

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typical UIP pattern, take it to the bank,

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it's gonna be UIPN pathology, the probably UIP pattern.

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This took some, some work,

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but eventually we were able to figure out that the yield

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of UIPN pathology was also very high.

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Somewhere in the 80 to 90% range,

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but not as high as in typical UIP.

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But what this allows us

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to do is actually dig a little deeper

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because we have this data

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and we, we also found

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that if you have a high pretest probability

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of idiopathic pulmonary fibrosis,

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idiopathic pulmonary fibrosis is a disease of older people.

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So the patient is older.

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See older than 60

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or 65, no known cause for interstitial lung disease, right?

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Because again, idiopathic pulmonary fibrosis is

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an idiopathic disease.

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No other risk factors, no

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inhalation exposures, nothing like that.

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So they're coming in and even before, even

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before the patient comes in,

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people are thinking this patient has IPF,

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all you need is a probable UIP pattern to define that IPF

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clinical diagnosis.

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So in that specific disease setting,

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probable UIP is quite powerful.

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And I say at least in clinical practice, the majority

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of our patients who come in with pulmonary fibrosis

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as a new diagnosis, again, most

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of these patients are gonna be IPF

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or at least as a plurality.

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And so very seldom with these probably UIP patterns,

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are we pursuing surgical lung biopsy also, again,

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'cause of that concomitant risk

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of surgical lung biopsy in patients with pulmonary fibrosis.

Report

Faculty

Jonathan H. Chung, MD

Professor of Radiology and Division Chief of Cardiothoracic Imaging

UCSD - University of California San Diego

Tags

Syndromes

Non-infectious Inflammatory

Lungs

Idiopathic

Chest CT

Chest

CT