Year :
2022
| Month :
August
| Volume :
16
| Issue :
8
| Page :
TC01 - TC05
Full Version
Assessment of Normal Intracranial Parameters of the Sellar Region in Healthy Subjects of South Indian Population: A Retrospective Study
Published: August 1, 2022 | DOI: https://doi.org/10.7860/JCDR/2022/55466.16729
Deepa Rebecca Korula, Sabari S Ramesh, Senthil Kumar Aiyappan, S Vinayagam, Vamsi Krishna Maddineni, Aishwarya Athani
1. Assistant Professor, Department of Radiology, SRM Medical College Hospital and Research Centre, Chennai, Tamil Nadu, India.
2. Assistant Professor, Department of Radiology, SRM Medical College Hospital and Research Centre, Chennai, Tamil Nadu, India.
3. Professor, Department of Radiology, SRM Medical College Hospital and Research Centre, Chennai, Tamil Nadu, India.
4. Professor, Department of Radiology, SRM Medical College Hospital and Research Centre, Chennai, Tamil Nadu, India.
5. Postgraduate Student, Department of Orthopaedics, SRM Medical College Hospital and Research Centre, Chennai, Tamil Nadu, India.
6. Postgraduate Student, Department of Radiology, SRM Medical College Hospital and Research Centre, Chennai, Tamil Nadu, India.
Correspondence Address :
Dr. Senthil Kumar Aiyappan,
Professor, Department of Radiology, SRM Medical College Hospital and Research Centre, Chennai, Tamil Nadu, India.
E-mail: senthila1@srmist.edu.in
Abstract
Introduction: There is a significant degree of anatomical variation at the level of the sphenoid sinus and sella turcica and a wide range of these values have been reported in literature and ethnic variation has also been found to contribute to this. Thus preoperative imaging of the central skull base with a knowledge of the normal anatomy and measurements in a specific population is imperative to identify these variations and prevent avoidable intraoperative complications.
Aim: To assess the normal intracranial measurements of the intercarotid distance, pituitary fossa width, optic chiasm height, optic chiasm width and the pituitary to optic chiasm distance in healthy subjects of the South Indian population aged between 10 to 80 years and to establish normal reference ranges across the various age groups.
Materials and Methods: This retrospective study was conducted in the Radiology Department at SRM Medical College Hospital and Research Centre, Chennai, Tamil Nadu, India, from July 2021 to December 2021. The study included normal Magnetic Resonance Imaging (MRI) brains of 700 healthy subjects (378 males and 322 females) in the age range of 10 to 80 years. Subjects were divided into seven groups of 100 subjects for each decade. The variables that were measured included the intercarotid distance, pituitary fossa width, optic chiasm height, optic chiasm width and the pituitary to optic chiasm distance. RStudio version 1.2.1093 was used for statistical analysis and p-value <0.05 was considered statistically significant. Association between age and outcome variables were assessed by Pearson’s correlation coefficient at 95% confidence interval.
Results: The overall mean age was 45.4 years. The overall mean intercarotid distance was 16.2±3.7 mm, optic chiasm width was 13.1±1.6 mm, optic chiasm height was 2.18±2.7 mm, pituitary width was 12.1±2.3 mm, pituitary to optic chiasm distance was 5.7±1.84 mm. The overall pituitary fossa width and pituitary to optic chiasm distance was found to be higher in males (p-value <0.001; p-value=0.03, respectively) than females while there was no significant difference between genders in the rest of the parameters. A low and positive correlation was found between age and the pituitary width, age (r-value=0.175, p-value <0.001) and the pituitary to optic chiasm distance (r-value=0.342, p-value <0.001) and pituitary width and optic chiasm width (r-value=0.236, p-value <0.001). A strong and positive correlation was found between the pituitary width and the intercarotid distance (r-value=0.736, p-value <0.001).
Conclusion: Establishment of normal reference values across various age groups of the South Indian population may prove useful for future reference and improving diagnostic accuracy.
Keywords
Brain, Carotid artery, Magnetic resonance imaging, Measurement, Pituitary gland
Introduction
The endoscopic endonasal trans-sphenoidal approach to the central skull base is a minimally invasive surgical modality for treating pathologies of the sellar region with decreased postoperative complications and improved patient comfort (1). A substantial degree of anatomical variation is known to exist at the level of the sphenoid sinus and sella turcica. The Internal Carotid Arteries (ICA), optic nerves, cavernous sinuses and surrounding cranial nerves are all vulnerable during this approach. Moreover, anatomical variations at this level have been reported with respect to gender and ethnicity and thus preoperative imaging is important to identify this (2),(3). The cavernous segment of the ICA is an important landmark during these procedures and injury to the ICA may contribute to patient mortality and morbidity (4). The internal carotid arteries can be quite tortuous and the distance separating the medial margin of the internal carotid artery from the lateral surface of the pituitary gland has been reported to vary from 1 to 3 mm (5). Preoperative imaging of the central skull base is thus important to recognise these anatomical variations (1).
The optic chiasm is also an important landmark for interpreting Magnetic Resonance Imaging (MRI) examinations of brain. A small or large chiasm can be an indicator of several disorders (4). Gender and ethnic variation have also been found to affect the pituitary and optic nerve morphology (6). These variables have not been described among the South Indian population. Hence, this study aimed to assess the normal intercarotid distance, pituitary fossa width, optic chiasm width, height and the pituitary to chiasm distance across various age groups in the South Indian population. A knowledge of these parameters will be important and useful for future reference and contribute to diagnosis.
Material and Methods
This retrospective study was conducted in the Radiology Department at SRM Medical College Hospital and Research Centre, Chennai, Tamil Nadu, India, from July 2021 to December 2021. Analysis was done from January 2022 to February 2022. The study was approved by Institutional Review Board (IRB No. 3151).
Inclusion and Exclusion criteria: Healthy subjects aged 10 to 80 years with normal MRI brain findings were included in the study. The main indication for these MRI brain studies was for complaints of headache. Any significant findings on the MRI brain were excluded from the study. Adult patients who were pregnant, had a history of endocrine disturbances or were on drug therapy were also excluded from the study.
Out of the 700 subjects, 378 were males and 322 were females. All MRIs were performed on a 1.5 T Siemens machine and the study variables were measured as mentioned in (Table/Fig 1).
The MRI protocol included coronal T2 weighted (TR:8870 TE:142 ST:3 mm) and sagittal T1 weighted sections (TR:500 TE:9 ST:5 mm) of the brain. (Table/Fig 2)a,(Table/Fig 2)b,(Table/Fig 2)c illustrates how the variable was measured.
All the measurements were obtained and interpreted by two radiologists with five and seven years experience. Pituitary width, optic chiasm width, optic chiasm height, intercarotid distance and pituitary to optic chiasm distance was considered as outcome variables. Age group and gender was considered as explanatory variable.
Statistical Analysis
Mean, standard deviation, minimum and maximum was used to describe the outcome variables. Independent t-test was used to compare mean between two groups. One way Analysis of Variance (ANOVA) along with Tukey’s Honest Significant Difference (HSD) posthoc test was used to compare mean between more than two groups. Association between age and outcome variables was assessed by Pearson correlation coefficient at 95% confidence interval. Similarly, association between outcome variables were also assessed by Pearson coefficient at 95% confidence interval. A p-value <0.05 was considered statistically significant and was calculated by Independent sample T-test and ANOVA. RStudio version 1.2.1093 was used for statistical analysis.
Results
A total of 700 individuals were included in the study (100 in each age group). The mean age among 11 to 20 years age group was 16.03 years. In 21 to 30 years age group it was 25.96 years, in 31 to 40 years age group it was 35.25 years, in 41 to 50 years it was 45.89 years, in 51 to 60 years it was 55.85 years, in 61 to 70 years it was 64.41 years and in 71 to 80 years it was 74.18 years respectively. The overall mean age was 45.4 years. Among 700 individuals, 378 (54%) were males and 322 (46%) were females.
The mean values of the pituitary width, optic chiasm width and height, intercarotid distance and pituitary to optic chiasm distance across all the age groups were 12.1±2.3, 13.1±1.6, 2.18±0.27, 16.2±3.7 and 5.70±1.84, respectively (Table/Fig 3).
The mean pituitary width was found significantly higher in males as compared to females (p-value <0.001). The mean pituitary to optic chiasm distance was also found to be significantly higher in males as compared to females (p-value=0.03) (Table/Fig 4).
Tukey HSD posthoc test showed that mean pituitary width was statistically significantly higher in the age group 51-60 years, 61-70 years and 71-80 years as compared to the age group 11 to 20 years, 21 to 30 years and 31 to 40 years respectively (p-value <0.001). The mean pituitary to optic chiasm distance was found statistically significantly lower in the age group 11 to 20 years as compared to the age group 31 to 40 years, 41 to 50 years, 51 to 60 years, 61 to 70 years and 71 to 80 years respectively (p-value <0.001) (Table/Fig 5).
Among individuals aged 21 to 40 year, 41 to 60 years and 61 to 80 years, male were found to have statistically significantly higher pituitary width in each age group as compared to females (p-value <0.05). Among individuals aged 41 to 60 years, females were found to have statistically significantly higher optic chiasm height as compared to males (p-value=0.019) whereas males were found to have statistically significantly higher OC width as compared to females (p-value=0.047) (Table/Fig 6).
There was no statistically significant difference in the intercarotid distance and pituitary to optic chiasm distance between males and females across the individual age groups (Table/Fig 7).
(Table/Fig 8) shows that the correlation between age and Optic Chiasm (OC) width and height and the intercarotid distance was found to be statistically insignificant (p-value >0.05). There was low and positive correlation between age and the pituitary width (r-value=0.175; p-value <0.001) as well as the pituitary to optic chiasm distance (r-value=0.342; p-value <0.001). (Table/Fig 9),(Table/Fig 10),(Table/Fig 11) shows the measurement of the variables in few cases of study.
Between the variables, there was a positive correlation between pituitary width and optic chiasm width (r-value=0.236, p-value <0.001), optic chiasm width and inter-carotid distance (r-value=0.259, p-value <0.001) and the pituitary width and intercarotid distance (r=0.736, p-value <0.001) (Table/Fig 12).
Discussion
The Intercarotid Distance (ICD) was measured in the present study as the narrowest distance between the medial walls of the cavernous segments of the ICA on both sides. This study found the mean intercarotid distance to be 16.2 mm±3.7 mm with a range of 3-27 mm across all age groups with no significant difference between males and females. This is in keeping with the majority of reported studies who found no significant difference between genders (5),(7),(8),(9). Few significantstudies however did report that the intercarotid distance was found to be higher in males than females (9),(10).
There was a statistically no significant correlation of age with the ICD. Farimaz M et al., had also found no significant correlation of the intercarotid distance with age however there was a negative correlation of the inter-cavernous distance with age in the Turkish population, which was also reported by Polat SO et al., (7),(8).
The mean values for the intercarotid distance at the sellar region in healthy individuals reported in the literature have a wide range, varying from 12 mm to 18 mm (3),(11),(12),(13). This may be related to the method used to measure the distance and the ethnical differences between the study populations. Nunes CF et al., found the mean intercarotid distance at its horizontal portion at the sellar region was 19.41±3.00 mm with a statistically significant difference between males and females (males=21.17 mm, females=17.26±2.52 mm; p-value= 0.0014) (12). Gupta T, found the mean intercarotid distance measured 13.7 mm with a minimum inter carotid distance of 7.63 mm (4). A study done by Polat SO et al., on 292 subjects in the Turkish population found the intercavernous distance to be 14.1 mm in females and 13 mm in males with a negative correlation with age (7). Farimaz M et al., also reported a mean intercavernous distance of 14.1±2.8 mm in females and 13.0±2.8 mm in males with no statistically significant difference between males and females and they found the ICD decreases with age (8). Dao Trong P et al., found that the ICD was up to 2.4 mm smaller in the Caucasian cohorts as compared to African American/Asian cohorts which indicate that racial disparities regarding the sellar anatomy should be considered in patients undergoing pituitary surgery (14). Comparison of measured ICD is shown in (Table/Fig 13) (15),(16),(17),(18),(19),(20),(21),(22),(23),(24),(25),(26).
There was statistically no significant difference in the mean OC width and mean OC height between males and females (p-value >0.05). There was also no significant difference in the mean OC width and mean OC height across age groups (p-value >0.05). These findings were in keeping with previously reported studies (6),(7),(9).
In the study by Polat SO et al., the means of the optic chiasm height and width values were found to be 2.80±0.7 mm and 13.13±1.37 mm respectively in healthy males and 2.80±0.49 mm and 12.82±1.27 mm respectively in healthy females of the Turkish population (7). They found no significant difference in these values between the genders or across various age groups (7). Bilal D et al., found the mean of width of the optic chiasm was 13.32±1.28 mm and the mean of the optic chiasm height was 2.53±0.18 mm in the Sudanese population with the maximum value seen in the sixth decade and no significant difference in gender or across different age groups (6). A study on the American population showed the mean optic chiasm width was 14±1.68 mm across age groups 18 to 82 years with a decrease in width with increasing age however no significant difference between genders (27).
The pituitary width has been found to have a positive correlation with the intercavernous distance as reported by Polat SO et al., (7). There was a low and positive correlation of age with the pituitary width, that is, with an increase in age there was a mild increase in the pituitary fossa width as reported in literature (28). Chauhan P et al., found a mean width of 8.4 mm in females and 7.3 mm in males of the North Indian population with a statistically significant difference between the genders (28). They found the size of the sella in the older age group was larger than the younger population, in keeping with our study. A study on 73 subjects of the Nepalese population found that the sella turcica had a mean length of 8.375 mm, anteriorposterior diameter of 7.029 mm, and depth of 10.13 mm (29). They found the dimensions of the sella turcica increased with age till the age of 80 years and then decreased and the length and depth of sella turcica were higher in males compared to the females, similar to present study findings (29). The increase in the pituitary fossa width with age was attributed to age related atrophic changes and similar results were also reported in other plain radiograph studies of the sella in Indian and other populations (30),(31),(32).
The pituitary to optic chiasm distance has not been well described. Knowledge of the normal reference values for this entity may help in improving diagnostic accuracy. This distance may be increased in conditions such as empty sella or decreased in conditions such as pituitary hyperplasia, pituitary tumours, meningiomas, gliomas. The optic chiasm may be in normal location, prefixed or postfixed (33).
Authors found a low and positive correlation between age and the pituitary to optic chiasm distance, that is, as the age increased the distance also increased (p-value <0.05). This could be attributed to atrophy of the brain with increase in the CSF spaces and sulci with increasing age. Between the variables there was found to be good correlation between the pituitary width and intercarotid distance, ie, as the pituitary width increased, the intercarotid distance also was found to increase which has also been described in literature (7) and a low and positive correlation between the pituitary width and the optic chiasm width.
The current study was unique in the fact that authors were able to compare many of the intracranial parameters related to the sella and establish certain reference values across the age groups in the South Indian population which has not been described previously in literature and which may aid in diagnosis and preoperative management.
Limitation(s)
This was a retrospective study with relatively small sample size across the age groups hence the results may not be accurately generalisable to the entire population. There is scope for further research with larger sample sizes with inclusion of the other populations of India.
Conclusion
Present study was able to establish certain reference values in the South Indian population for the various intracranial parameters which may help in image interpretation and improving diagnostic accuracy, however the wide range of normal values and difference between genders must be kept in mind.
Reference
| 1. | Faraj MK, Sagban WJ. Endoscopic transsphenoidal approach to skull base lesions. Neurosciences (Riyadh). 2018;23(1):35-38.
[ CrossRef] [ PubMed] | 2. | Pilat AV, Gottlob I, Sheth V, Thomas MG, Proudlock FA. Gender- and ethnicity- related differences in optic nerve head topography in healthy Indian and Caucasian participants. Neuroophthalmology. 2014;38(4):205-12.
[ CrossRef] [ PubMed] | 3. | Shrestha GK, Pokharel PR, Gyawali R, Bhattarai B, Giri J. The morphology and bridging of the sella turcica in adult orthodontic patients. BMC Oral Health. 2018;18(1):45.
[ CrossRef] [ PubMed] | 4. | Gupta T. An anatomical study of inter carotid distances in the sellar region with a surgical perspective. Brazilian Journal for Morphological Sciences. 2009;26:23-26.
| 5. | Rhoton AL, Hardy DG, Chambers SM. Microsurgical anatomy and dissection of the sphenoid bone, cavernous sinus and sellar region. Surg Neurol. 1979;12(1):63-04.
| 6. | Bilal D. Assessment of optic chiasm measurements in abnormal MRI brain. IOSR Journal of Dental and Medical Sciences (IOSR-JDMS). 2018;17(7):50-56.
| 7. | Polat SÖ, Öksüzler FY, Öksüzler M, Uygur AG, Yücel AH. The determination of the pituitary gland, optic chiasm, and intercavernous distance measurements in healthy subjects according to age and gender. Folia Morphologica. 2020;79(1):28-35.
| 8. | Farimaz M, Çelik HH, Ergun KM, Akgöz A, Urfali B. The morphometry of the cavernous part of the internal carotid artery. Folia Morphol (Warsz). 2019;78(1):54-62.
| 9. | Yamashita S, Resende LA, Trindade AP, Zanini MA. A radiologic morphometric study of sellar, infrassellar and parasellar regions by magnetic resonance in adults. Springerplus. 2014;3:291. Doi: 10.1186/2193-1801-3-291. PMID: 26034660; PMCID: PMC4447716.
[ CrossRef] [ PubMed] | 10. | Ahmadipour Y, Lemonas E, Maslehaty H, Goericke S, Stuck BA, El Hindy N, et al. Critical analysis of anatomical landmarks within the sphenoid sinus for transsphenoidal surgery. Eur Arch Otorhinolaryngol. 2016;273(11):3929-36.
[ CrossRef] [ PubMed] | 11. | Wiener SN, Rzeszotarski MS, Droege RT, Pearlstein AE, Shafron M. Measurement of pituitary gland height with MR imaging. AJNR Am J Neuroradiol. 1985;6(5):717-22.
| 12. | Nunes CF, Cabral GAPS, Mello Junior JO de, Lapenta MA, Landeiro JA. Pituitary macroadenoma: analysis of intercarotid artery distance compared to controls. Arq Neuro-Psiquiatr. 2016;74:396-04.
[ CrossRef] [ PubMed] | 13. | Choi MH, Kim HS, Lee BY, Chung SC. A study on age- and gender-dependent differences in distance and angle between the internal carotid artery and basilar artery. Technol Health Care. 2020;28(Suppl 1):321-26.
[ CrossRef] [ PubMed] | 14. | Dao Trong P, Jesser J, Schneider T, Unterberg A, Beynon C. Interracial anatomical differences in the transsphenoidal approach to the sellar region. Br J Neurosurg. 2020;01-04.
[ CrossRef] [ PubMed] | 15. | Fujii K, Chambers SM, Rhoton AL. Neurovascular relationships of the sphenoid sinus. A microsurgical study. J Neurosurg. 1979;50(1):31-39.
[ CrossRef] [ PubMed] | 16. | Ozcan T, Yilmazlar S, Aker S, Korfali E. Surgical limits in transnasal approach to opticocarotid region and planum sphenoidale: An anatomic cadaveric study. World Neurosurg. 2010;73(4):326-33.
[ CrossRef] [ PubMed] | 17. | Abuzayed B, Tanriover N, Gazioglu N, Ozlen F, Cetin G, Akar Z. Endoscopic anatomy and approaches of the cavernous sinus: Cadaver study. Surg Radiol Anat. 2010;32(5):499-08.
[ CrossRef] [ PubMed] | 18. | Aktas U, Yilmazlar S, Ugras N. Anatomical restrictions in the transsphenoidal, transclival approach to the upper clival region: A cadaveric, anatomic study. J Craniomaxillofac Surg. 2013;41(6):457-67. Doi: 10.1016/j.jcms.2012.11.011. Epub 2012. PMID: 23257317.
[ CrossRef] [ PubMed] | 19. | Perondi GE, Isolan GR, de Aguiar PH, Stefani MA, Falcetta EF. Endoscopic anatomy of sellar region. Pituitary. 2013;16(2):251-59. Doi: 10.1007/s11102-012-0413-9. PMID: 22847021.
[ CrossRef] [ PubMed] | 20. | Cebula H, Kurbanov A, Zimmer LA, Poczos P, Leach JL, De Battista JC, et al. Endoscopic, endonasal variability in the anatomy of the internal carotid artery. World Neurosurgery. 2014;82(6)e759-e764. ISSN 1878-50.
[ CrossRef] [ PubMed] | 21. | Scotti G, Yu CY, Dillon WP, Norman D, Colombo N, Newton TH, et al. MR imaging of cavernous sinus involvement by pituitary adenomas. AJR Am J Roentgenol. 1988;151(4):799-06.
[ CrossRef] [ PubMed] | 22. | Knappe UJ, Jaursch-Hancke C, Schönmayr R, Lörcher U. Assessment of normal perisellar anatomy in 1.5 T T2-weighted MRI and comparison with the anatomic criteria defining cavernous sinus invasion of pituitary adenomas. Cent Eur Neurosurg. 2009;70(3):130-36.
[ CrossRef] [ PubMed] | 23. | Zada G, Agarwalla PK, Mukundan S, Dunn I, Golby AJ, Laws ER. The neurosurgical anatomy of the sphenoid sinus and sellar floor in endoscopic transsphenoidal surgery. J Neurosurg. 2011;114(5):1319-30.
[ CrossRef] [ PubMed] | 24. | Sasagawa Y, Tachibana O, Doai M, Akai T, Tonami H, Iizuka H. Internal carotid arterial shift after transsphenoidal surgery in pituitary adenomas with cavernous sinus invasion. Pituitary. 2013;16(4):465-70.
[ CrossRef] [ PubMed] | 25. | Zhang Y, Tian Y, Song J, Li Y, Li W. Internal carotid artery in endoscopic endonasal transsphenoidal surgery. J Craniofac Surg. 2012;23(6):1866-69.
[ CrossRef] [ PubMed] | 26. | Carrabba G, Locatelli M, Mattei L, Guastella C, Mantovani G, Rampini P, et al. Transphenoidal surgery in acromegalic patients: Anatomical considerations and potential pitfalls. Acta Neurochirurgica. 2013;155(1):125-30.
[ CrossRef] [ PubMed] | 27. | Yilmazlar S, Kocaeli H, Eyigor O, Hakyemez B, Korfali E. Clinical importance of the basal cavernous sinuses and cavernous carotid arteries relative to the pituitary gland and macroadenomas: Quantitative analysis of the complete anatomy. Surg Neurol. 2008;70(2):165-74. Doi: 10.1016/j.surneu.2007.06.094. Epub 2008. PMID:18262607.
[ CrossRef] [ PubMed] | 28. | Chauhan P, Kalra S, Mongia SM, Ali S, Anurag A. Morphometric analysis of sella turcica in North Indian population: A radiological study. International Journal of Research in Medical Sciences. 2017;2(2):521-26.
[ CrossRef] | 29. | Makaju G, Joshi B, Chand R. Assessment of the size of sella turcica among Nepalese population by computed tomography. Nepalese Journal of Radiology. 2019;9:40-47.
[ CrossRef] | 30. | Chaitanya B, Pai KM, Chhaparwal Y. Evaluation of the effect of age, gender, and skeletal class on the dimensions of sella turcica using lateral cephalogram. Contemp Clin Dent. 2018;9(2):195-99. Doi: 10.4103/ccd.ccd_805_17. PMID: 29875560; PMCID: PMC5968682.
[ CrossRef] [ PubMed] | 31. | Nagaraj T, Shruthi R, James L, Keerthi I, Balraj L, Goswami R. The size and morphology of sella turcica: A lateral cephalometric study. Journal of Medicine, Radiology, Pathology and Surgery. 2015;1:03-07.
[ CrossRef] | 32. | Valizadeh S, Shahbeig S, Mohseni S, Azimi F, Bakhshandeh H. Correlation of shape and size of sella turcica with the type of facial skeletal class in an Iranian group. Iran J Radiol. 2015;12(3):e16059.
[ CrossRef] | 33. | Griessenauer CJ, Raborn J, Mortazavi MM, Tubbs RS, Cohen-Gadol AA. Relationship between the pituitary stalk angle in prefixed, normal, and postfixed optic chiasmata: An anatomic study with microsurgical application. Acta Neurochir (Wien). 2014;156(1):147-51. [ CrossRef] [ PubMed] |
DOI: 10.7860/JCDR/2022/55466.16729
Date of Submission: Feb 04, 2022
Date of Peer Review: Apr 15, 2022
Date of Acceptance: Jun 03, 2022
Date of Publishing: Aug 01, 2022
AUTHOR DECLARATION:
• Financial or Other Competing Interests: None
• Was Ethics Committee Approval obtained for this study? Yes
• Was informed consent obtained from the subjects involved in the study? No
• For any images presented appropriate consent has been obtained from the subjects. Yes
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ETYMOLOGY: Author Origin
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