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Research Article | Volume 14 Issue: 3 (May-Jun, 2024) | Pages 1032 - 1037
Magnetic resonance evaluation of Sellar or Parasellar Masses in correlation with histopathology
 ,
 ,
1
Department of radio diagnosis, Andhra medical college, Visakhapatnam
Under a Creative Commons license
Open Access
DOI : 10.5083/ejcm
Received
April 8, 2024
Revised
April 24, 2024
Accepted
May 17, 2024
Published
June 18, 2024
Abstract

Background:  The study aimed to evaluate the radiological diagnostic accuracy of MRI imaging in sellar and juxtasellar lesions, a complex skull base region causing 15-20% of intracranial tumors. Methodology: MRI is used to diagnose sellar or parasellar mass in patients after a thorough clinical history, physical examination, and blood investigations. Results: The study found that P. macroadenoma accounts for 63% of all lesions in sellar pathology, with meningiomas, glial tumors, clival lesions, and P. microadenoma being the most common. The age distribution of cases is bimodal, with 52% females and 48% males. The texture distribution is homogenous, and the T1 and T2 signal distributions are varied. 93% of cases are correlated with HPE examination. Discussion: A study at Andhra Medical College examined the accuracy of MRI in diagnosing diseases in the sellar and juxtasellar regions. The majority of cases were Pmacroadenoma, followed by Meinigioma, P microadenoma, Clival, Craniopharyngioma, and Glial tumors. Pituitary adenoma was the most frequently reported lesion, accounting for over 90% of cases. The study found 100% sensitivity, specificity, and accuracy in diagnosing P.microadenoma, pilocytic astrocytoma, and diffuse astrocytoma. The majority of cases were female (86%), with a mean age of 39.3 years. The majority of cases were diagnosed as Pituitary macroadenoma, with the majority being extra axial. Conclusion: MRI is the preferred method for evaluating microadenomas, plasmacytoma, meningioma, and Pituitary macroadenoma, as it provides reliable signs of cavernous sinus invasion and invasive Pituitary macroadenoma.

Keywords
INTRODUCTION

The sellar and juxtasellar regions are complex areas in the skull base with various neoplastic and nonneoplastic lesions. They account for 15-20% of intracranial tumors, with neoplastic lesions ranging from benign to malignant. Pituitary tumors account for up to 15% of all masses. (1,2,3)

 

The pituitary gland, located in the central skull base, is surrounded by neurovascular structures. Its anatomically complex region can cause various pathologies. MRI is the preferred imaging modality due to its superior tissue resolution. Radiologists provide specific diagnoses and guide surgical management, alerting surgeons to potential complications during transsphenoidal endoscopic resection. 4

The study aimed to assess the radiological diagnostic accuracy of MRI imaging in sellar and juxtasellar lesions.

 

AIMS AND OBJECTIVES

  • To investigate the function of gadolinium in the characterization of sellar and parasellar lesions; to characterize the aspects of magnetic resonance imaging that aid in lesion identification.
  • Assessing the diagnostic precision of magnetic resonance imaging (MRI) in identifying and characterizing sellar and parasellar lesions using histopathological correlation as the gold standard.

 

MATERIAL AND METHODS:

STUDY DESIGN – Hospital based retrospective observational study.

STUDY POPULATION –It includes patients with sellar and parasellar lesions who are willing to get operated during the study period in king george hospital,visakhapatnam

STUDY SETTING – Dept of Radiodiagnosis , Andhra Medical College, Visakhapatnam.

STUDY PERIOD – From February 2023 to January 2024

SAMPLE SIZE –Convenient sampling of 60 clinically suspected patients of sellar and parasellar masses referred to Radiology department was taken.

INCLUSION CRITERIA

  1. Patients who are willing for the study
  2. Individuals who may have a pituitary mass lesion.
  3. Both male and female patients.
  4. Age range: 0–70 years

EXCLUSION CRITERIA

  1. Patients who had surgery and experienced recurrence.
  2. People receiving radiation and chemotherapy.
METHODOLOGY:

Patients with suspected sellar or parasellar mass undergo MRI after a thorough clinical history, physical examination, and blood investigations. Radiological features like texture, signal intensity, size, mass effect, soft tissue extension, and contrast enhancement are considered. Histopathology is correlated with these features, and sensitivity, specificity, and diagnostic accuracy are calculated.

Statistical analysis :

The data will be entered into MS Excel and analyzed using the SPSS version 21 statistical package for social sciences, with descriptive statistical analysis performed. Results will be presented in tabular and graphic formats.

RESULTS

Table 1:Distribution of patients based on the age group.

Age group

Frequency

Percentage

Mean±SD

<10

1

2

 

 

 

 

 

 

 

39±15

10-19 yrs

3

5

20-29 yrs

11

18

30-39 yrs

14

23

40-49 yrs

12

20

50-59 yrs

12

20

60-69 yrs

6

10

>70

1

2

Total

60

100

 

 

Table 2 : Percentage distribution of final/histopathological diagnosis:

 

HPE diagnosis

percentage

Meningioma

7

11.6%

P microadenoma

1

1.6%

Clival lesions

3

5%

P.macroadenoma

38

63.3%

Craniopharyngioma

8

13.3%

Glial tumours

3

5%

Total

60

100%

According to our research, P. macroadenoma accounts for 63% of all lesions in sellar pathology. Meningiomas (12%), glial tumors (5%), clival lesions (5%), and P. microadenoma (2%), in that order, are the most common lesions.

 

 

Table 3: Age specific distribution of P.macroadenoma

min age

max age

mean

median

mode

total

20

70

41.2

39

30

38

The majority of P. macroadenoma patients are aged 30-39 years, followed by those aged 50-59 years, 40-49 years, 20-29 years, 60-69 years, and 2.6% of the 70-year age group.

 

Table 4: Age specific distribution of cranipharyngioma

min age

max age

mean

median

mode

total

5

55

32.6

13

n/a

8

 

The age distribution of cranipharyngioma is bimodal, with 25% occurring between 20-29 years, 40% between 40-49 years, 25% between 50-59 years, and 12.5% between 10-19 years.

Table 5:Texture distribution of cases

 

homogenous=1

heterogenous=2

p.micro

1(100%)

0

clival

1(33.5%)

2(66.5%)

glial

2(66.5%)

1(33.5%)

meningioma

7(100%)

0

p macro

17(44.7%)

21(55.2%)

cp

7(87.5%)

1(12.5%)

total

35(58.3%)

25(41.6%)

The texture distribution of P. microadenoma cases is 58.3% homogenous, 41.6% heterogeneous, with 100% homogenous cases. The distribution of glial, meningioma, macroadenoma, craniopharyngioma, and cilial lesions is also homogenous.

 

Table 6 :T1 signal distribution of total cases

 

T1 iso=1

T1 hypo=2

T1hyper=3

T1 mixed=4

p.micro

1(100%)

0

0

0

clival

2(66.5%)

0

0

1(33.5%)

glial

0

2(66.5%)

0

1(33.5%)

meningioma

6(85.7%)

1(14.2%)

0

0

p macro

15(39.4%)

2(5.2%)

3(7.8%)

18(47.3%)

cp

2(25%)

3(37.5%)

2(25%)

1(12.5%)

total

26(43.3%)

8(13.3%)

5(8.3%)

21(35%)

The T1 signal distribution in the cases reveals 43% isointensity, 13.3% hypointensity, 8.3% hyperintensity, and 35% mixed intensity.

 

Table 7 :T2 signal distribution of total cases

 

T2 iso=1

T2

hypo=2

T2

hyper=3

T2

mixed=4

p.micro

1(100%)

0

0

0

clival

1(33.5%)

0

2(66.5%)

0

glial

0

0

2(66.5%)

1(33.5%)

meningioma

0

0

7(100%)

0

p macro

5(13.1%)

0

16(42.1%)

17(44.7%)

cp

0

1(12.5%)

7(87.5%)

0

total

7(11.6%)

1(1.6%)

34(56.6%)

18(30%)

 

The T2 signal distribution in the cases shows that 11.6% have isointensity, 1.6% have hypointensity, 56.6% have hyperintensity, and 30% have mixed intensity.

 

Table 8 :T2 FLAIR signal distribution of the case

 

FLAIR

hypo=2

FLAIR

hyper=3

P.micro

1(100)%)

0

Clival

1(33.5%)

2(66.5%)

Glial

1(33.5%)

2(66.5%)

Meningioma

0

7(100%)

P.macro

12(31.5%)

26(68.4%)

CP

1(12.5%)

7(87.5%)

Total

16(26.6%)

44(73.3%)

 

T 2 FLAIR signal distribution reveals that 26.6% of the overall patients have FLAIR hypointensity and 73.3% have FLAIR hyperintensity.

Table 9: Contrast pattern distribution of the cases

 

homogenous=1

heterogenous=2

rim=3

nodule=4

dynamic=5

no=6

p.micro

0

0

0

0

1(100%)

0

clival

1(33.5%)

2(66.5%)

0

0

0

0

glial

0

0

0

1(33.5%)

0

2(66.5%)

meningioma

7(100%)

0

0

0

0

0

p macro

28(73.6%)

4(10.5)

3(7.8%)

2(5.2%)

0

1(2.6%)

cp

1(12.5%)

0

4(50%)

1(12.5%)

0

2(25%)

total

37(61.6%)

6(10%)

7(11.6%)

4(6.6%)

1(1.6%)

5(8.3%)

The distribution of the entire cases' contrast patterns reveals that 61.6% of instances have homogeneous enhancement, 10% have heterogenous enhancement, 11.6% have rim enhancement, 6.6% have nodular enhancement, and 1.6% have dynamic enhancement.

Table 10 :Distribution of Associated effects:

 

peritumoral edema

mass

effect/sella enl

hydrocephalus

invasion/ erosion

calcification

hemorrage

dural

tail sign

p.micro

0

0

0

0

0

0

0

clival

0

0

0

3

0

0

0

glial

0

0

0

0

0

0

0

meningioma

0

2

1

2

1

1

2

p macro

0

4

5

19

0

9

1

CP

0

4

0

0

0

0

0

 

Table 11 : Validity of MRI in relation to HPE

 

sensitivity of MRI

specificity

ppv

npv

accuracy

p.micro

100%

100%

100%

100%

100%

clival

100%

100%

100%

100%

100%

glial

100%

100%

100%

100%

100%

meningioma

100%

96%

77%

100%

100%

p macro

92%

100%

100%

88%

95%

cp

87.50%

96.30%

77%

98.40%

100%

DISCUSSION

The study at Andhra Medical College investigated the accuracy of MRI in diagnosing diseases in the sellar and juxtasellar regions. The majority of cases were aged 30-39, with the majority being female. Pituitary adenoma was the most frequently reported lesion, accounting for over 90% of cases. MRI showed 100% sensitivity, specificity, and accuracy in diagnosing P.microadenoma, pilocytic astrocytoma, and diffuse astrocytoma.[5,6]


A study of 60 cases identified 5% of them as plasmacytoma, clival chordoma, and nasopharyngeal carcinoma. The majority of cases were female (86%), with a mean age of 39.3 years. The lesions were extra axial and homogenous, with most being parasellar. The majority of the lesions were FLAIR hyperintense and solid consistency, with 23.6% showing mixed consistency. GRE blooming was noted in 34.2% of cases, suggesting hemorraghic change. Contrast examination showed homogenous enhancement, with some cases showing nodular enhancement, leading to false positive diagnoses.[7,8]

A study of 60 cases found 13.3% of cases as Craniopharyngioma, with a sex predilection of 37.5% in males and 62.5% in females. The majority of cases were homogenous (87.5%), with the lesions predominantly found in sellar and parasellar locations.[9]

CONCLUSIONS AND SUMMARY

Microadenomas are seen on coronal images using dynamic contrast sequences. Plasmacytoma shows a bubbly expansile lesion with T1 isointensity, T2 hyperintensity, and variable contrast enhancement. Meningioma shows homogenous enhancement and luminal narrowing of the ICA, while Pituitary macroadenoma can differentiate between meningioma and ICA constriction. MRI is the most reliable sign of cavernous sinus invasion, making surgical removal impossible and requiring radiation therapy. Invasive Pituitary macroadenoma looks similar to chordoma, but craniopharyngioma can also present with a dural tail sign. MRI is the preferred investigation for evaluating hypothalamic-pituitary-related sellar and juxtasellar region endocrine diseases.

REFERENCES
  1. Sellar Masses: An Epidemiological StudyKhaled Al-Dahmani, Syed Mohammad, Fatima Imran, Chris Theriault,Steve Doucette, Deborah Zwicker, Churn-Ern Yip, David B. Clarke, Syed Ali Imran
  2. Freda PU, Wardlaw SL, Post KD 1996 Unusual causes of sellar/parasellar masses in a large transsphenoidal surgical series. J ClinEndocrinol Metab 81:3455–3459
  3. Valassi E, Biller BM, Klibanski A, Swearingen B 2010 Clinical featuresof non-pituitary sellar lesions in a large surgical series. ClinEndocrinol (Oxf) 73:798–807
  4. Imaging of the sellar and parasellar regions Andrei Jipa a,*, Vikas Jain b a Radiology Residency Program, Case Western Reserve School of Medicine and MetroHealth Medical Center, Cleveland, OH, USA b Case Western Reserve School of Medicine and MetroHealth Medical Center, Cleveland, OH, USA
  5. Batra V, Gupta PK, Gehlot R, Awasthi P. Radiopathological correlation of sellar and suprasellar masses: Our experience. Int J Res Med Sci 2016;4:3924
  6. Johnson DE, Woodruff WW, Allen IS, Cera PJ, Funkbouser GR, Coleman LL. MR imaging of sellar and juxtasellar regions. Radiographics. 1991:11:727-58.
  7. Bartynski WS, Lin L. Dynamic and conventional spin-echo MR of pituitary microlesions. AJNR Am J Neuroradiol 1997;18:965–72.
  8. Batra V, Gupta PK, Gehlot R, Awasthi P. Radiopathological correlation of sellar and suprasellar masses: Our experience. Int J Res Med Sci 2016;4:3924
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