Interactive Transcript
0:01
So here's our typical UIP
0:02
or sometimes people will still call it UIP pattern.
0:04
And so this is our highest competence pattern of UIP.
0:08
And so what are we looking for in HR ct?
0:11
You wanna see peripheral basal predominant
0:13
pulmonary fibrosis.
0:14
So you're gonna see reticulation,
0:15
these small little lines superimposed on each other
0:19
with associated subpleural honeycombing.
0:21
So these fibrotic cysts which are lining up in rows and
0:25
or stacking upon each other within the most peripheral
0:28
portion of the lung, you can have associated traction
0:31
bronchiectasis, but you don't need traction bronchiectasis
0:34
to define this pattern.
0:36
The last part's very important.
0:37
You wanna have absence of features
0:39
that would be non-consistent with UIP.
0:42
So things that that would be pushing you away from
0:45
UIP diagnostic pattern.
0:46
Things like significant air trapping,
0:48
diffuse nodule lung disease or abnormal distributions.
0:53
And here's the classic pattern of UIP here.
0:56
I think a medical student probably could make
0:58
this diagnosis quite easily.
0:59
Uh, peripheral basal predominant
1:01
with these sequential axial images.
1:03
Clearly honeycombing.
1:05
Look at these beautiful honeycomb cysts lining up in rows
1:07
and clearly stacking upon each other.
1:10
No other findings that suggest alternative diagnosis.
1:12
This is gonna be UIP.
1:15
Another example of UIP here.
1:17
I think the coronal reformations are really helpful
1:19
for these HRCT scans.
1:21
In terms of distribution,
1:23
we can clearly tell this coronal reformation
1:25
that there is a basal gradient.
1:27
The lung bases are more severely affected than the
1:29
upper aspect of lungs.
1:31
And this looks to be a peripheral disease process.
1:33
So on one coronal slice we can be pretty confident.
1:36
This is a peripheral basal predominant process
1:39
and we see plenty of subpleural honeycomb.
1:41
Let's blow this up so you can see it.
1:42
Beautiful honeycomb cyst lining up in rows,
1:45
stack you upon each other.
1:47
Take you to the bank. This is going to be UIP.
1:50
Okay, another example here, UIP.
1:53
This is less floored case,
1:55
but on this axial slice we clearly see
1:57
that it's peripheral lung preponderance.
1:59
Pull up the coronal
2:01
and again, coronal is so great for distributions.
2:03
Clearly basal predominant looks, peripheral predominant.
2:05
And you see these small subpleural cysts.
2:09
The beauty of this high confidence UIP pattern is
2:13
that you've essentially obviated sub surgical lung biopsy.
2:16
You just don't need to do it.
2:18
So at least 95% of the time,
2:21
if you have this pattern on HRCT,
2:24
you're gonna get UIPN pathology.
2:26
That's pretty much as high
2:27
as you can get in terms of any sort of test.
2:29
Very, very high. So in these cases, we seldom,
2:32
if ever we'll even think about getting surgical lung biopsy.
2:36
And so this is quite, quite helpful.
2:37
We almost now will equate this pattern
2:40
to a UIP pattern on pathology.
2:45
Now let's talk about probable UIP.
2:47
And so the beauty of probable UIP is that if you know
2:51
what the high confidence typical UIP pattern looks like on
2:54
ct, you know a probable UIP pattern looks like on
2:57
HRCT. And so
2:58
It's peripheral base and predominant.
3:01
And in this setting you also wanna see some traction
3:04
bronchiectasis or bronchiectasis.
3:07
'cause the main difference between this probable UIP pattern
3:10
and the more high competence UIP pattern is
3:12
that there's no honeycombing in probable UIP.
3:15
So because there's no honeycombing,
3:17
we wanna see other findings of definitive fibrosis.
3:20
And that's gonna be the traction bronchiectasis
3:22
or bronchiectasis telling us
3:24
that indeed this isn't just mild reticulation,
3:26
mild ground LACS opacity.
3:28
There is real fibrosis within that lung parenchyma.
3:31
And the most high confidence way to tell
3:33
that is if there's either honeycombing and
3:36
or traction bronchiectasis.
3:37
So in this disease setting, we wanna see some traction,
3:39
bronchiectasis or bronchiectasis.
3:42
And again, nothing else that draws you away from
3:44
a diagnosis of UIP.
3:45
So things like air trapping,
3:46
nodule lung disease, abnormal distributions.
3:50
So a lot of these probable UIP cases, bottom line,
3:53
they look like just less severe cases
3:56
of the more floored UIP.
3:58
And so here's an example here.
4:00
Sequential axial images, clearly basal predominance,
4:02
clearly peripheral and preponder as well.
4:05
Some mild subpleural traction.
4:08
Bronchiectasis and bronchiectasis, no honeycombing though.
4:12
So if you look carefully, there's no
4:14
fibrotic cysts which are lining up in rows
4:16
or stack upon each other.
4:18
So problem UIP.
4:20
So I talked about the typical UIP pattern
4:22
and a strong correlation with pathology.
4:24
Let's talk about the problem UIP pattern.
4:26
So this used to be contentious.
4:28
I don't think it's contentious anymore.
4:29
So as I alluded to
4:30
before, if you have this high confidence,
4:32
typical UIP pattern, take it to the bank,
4:34
it's gonna be UIPN pathology, the probably UIP pattern.
4:38
This took some, some work,
4:40
but eventually we were able to figure out that the yield
4:42
of UIPN pathology was also very high.
4:45
Somewhere in the 80 to 90% range,
4:48
but not as high as in typical UIP.
4:51
But what this allows us
4:52
to do is actually dig a little deeper
4:54
because we have this data
4:55
and we, we also found
4:56
that if you have a high pretest probability
5:00
of idiopathic pulmonary fibrosis,
5:02
idiopathic pulmonary fibrosis is a disease of older people.
5:05
So the patient is older.
5:07
See older than 60
5:08
or 65, no known cause for interstitial lung disease, right?
5:12
Because again, idiopathic pulmonary fibrosis is
5:14
an idiopathic disease.
5:16
No other risk factors, no
5:17
inhalation exposures, nothing like that.
5:18
So they're coming in and even before, even
5:21
before the patient comes in,
5:24
people are thinking this patient has IPF,
5:25
all you need is a probable UIP pattern to define that IPF
5:31
clinical diagnosis.
5:32
So in that specific disease setting,
5:34
probable UIP is quite powerful.
5:36
And I say at least in clinical practice, the majority
5:39
of our patients who come in with pulmonary fibrosis
5:41
as a new diagnosis, again, most
5:43
of these patients are gonna be IPF
5:45
or at least as a plurality.
5:46
And so very seldom with these probably UIP patterns,
5:50
are we pursuing surgical lung biopsy also, again,
5:53
'cause of that concomitant risk
5:54
of surgical lung biopsy in patients with pulmonary fibrosis.