Overview

Currently these are the subjects who are missing imaging, but have histories: U05, U06, U08, U11, U19

Age & Sex

Age is calculated at the time of their first MRI

Age_grp n %
7-10 7 0.3684
11-14 5 0.2632
<7 4 0.2105
15-18 3 0.1579

Sex n %
F 20 0.8333
M 4 0.1667

Presenting symptom(s)

Primary symptom

Patients often had multiple presenting symptoms, but the first graph below shows the high level symptoms:

Frequency by size category (not in order)
MainSx n %
Precocious puberty 8 33.3%
Short Stature / GHD 6 25.0%
Headaches 5 20.8%
Menstrual problems 3 12.5%
HyperCa 1 4.2%
Polyuria / DI 1 4.2%

Progression of symptoms

## [1] 0.8333333
## [1] 0.7777778

Breakdown of additional symptoms

The next figure shows the breakdown off all symptoms across the primary symptom. Note that the total number of symptoms displayed in this figure is greater than the total number of subjects in this study, because many patients had more than one symptom.

A full co-occurrence matrix of symptoms is below. You can see that some symptoms tend to cluster together (e.g. menstrual problems, galactorrhea, elevated prolactin) while others are nonspecific (e.g. headaches).

Hovering over the cells of the heatmap will display the number of times that pair of symptoms occured in the dataset, and clicking on the labels on the axis will highlight that particular condition.

Imaging findings

Size of lesion

Size of lesion (mm)
Min. 1st Qu. Median Mean 3rd Qu. Max. NA’s
1 4.2 5.5 5.728 6 14 1
Frequency by size category (not in order)
Size_grp n
<3 mm 2
11-15 mm 1
3 to ~5 mm 4
5 to ~7 mm 8
7 to ~9 mm 2
9 to ~11 mm 1
NA 1

Progression of lesion on f/u MRI

Of those with a follow up MRI…

Progression n %
Improved 4 23.5%
Unchanged 11 64.7%
Worse 2 11.8%

Intensity

Frequency by Intensity
Intensity n
HYPO-intense 7
ISO-intense 6
HYPER-intense 5
NA 1

Locations

Need to work on… Options are combos of:

  • Anterior lobe
  • Posterior lobe
  • Intermediate lobe
  • Entire pituitary
  • Stalk
  • Hypothalamus
  • Suprasellar extension
Location n
Anterior lobe 2
Anterior lobe, Mid-pituitary 1
Anterior lobe, Right of midline 1
Anterior lobe, Suprasellar extension 1
Bilateral 1
Entire pituitary 1
Entire pituitary, Suprasellar extension 3
Left aspect 1
Left pituitary 1
Mid-pituitary 2
Midline, left side 1
Not specified 1
Right pituitary 1
Stalk 1
Suprasellar extension, Mid-pituitary 1

Stalk displacement

Frequency by Stalk Displacement
Stalk n
Midline 15
Displaced 4

Impression

Need to work on… Options are combos of:

  • “adenoma”
    • Pituitary MICRO-adenoma
    • Pituitary MACRO-adenoma
  • “cysts”
    • Pituitary cyst
    • Ranke cleft cyst
  • Pituitary hyperplasia
MRI.Impression n
Non-tumorous intrasellar lesion 1
Pituitary cyst, Pituitary MACRO-adenoma 1
Pituitary cyst, Pituitary MICRO-adenoma 4
Pituitary cyst, Pituitary MICRO-adenoma, Artefact 1
Pituitary MACRO-adenoma 1
Pituitary MACRO-adenoma, Pituitary hyperplasia 1
Pituitary MICRO-adenoma 6
Pituitary MICRO-adenoma, Pituitary hyperplasia 1
Pituitary MICRO-adenoma, Pituitary hyperplasia, Craniopharyngioma 1
Pituitary MICRO-adenoma, Pituitary hyperplasia, Prolactinoma 1
Prolactinoma 1

Some analysis

Complications

How does “progression of the lesion on MRI” relate to new symptom development? Granted, we have a very small number of people who developed additional symptoms, so the real takeaway is that they don’t develop new symptoms

Progression No Yes
Improved 4 0
No subsequent MRIs 2 0
Unchanged 10 1
Worse 1 1
Fisher’s Exact Test for Count Data: X[, -1]
P value Alternative hypothesis
0.4211 two.sided

What about improvement of their initial symptoms?

Progression improved stable
Improved 5 1
Unchanged 14 3
Worse 1 1
Fisher’s Exact Test for Count Data: X[, -1]
P value Alternative hypothesis
0.5392 two.sided

Time followed

Our study contins 55.2388775 patient years

Number of MRIs & NSG visits

## [1] 3
## [1] 4
## [1] 1.886235
## [1] 55.23888
## [1] 35.83847
##  [1] 252.5000 249.6000 273.0000 103.6667 150.5000 313.0000 225.5000
##  [8] 156.3333 227.0000 276.5000 352.1667 190.0000 230.3333 265.5000
## [15] 185.5000 218.0000 162.1667

## # A tibble: 1 x 2
##   median  mean
##    <dbl> <dbl>
## 1   7.57  7.51
## # A tibble: 1 x 2
##   median  mean
##    <dbl> <dbl>
## 1   1.86  2.36