Anatomical Study of Posterior Clinoid Process (PCP) and Its Clinical Meanings

Cheng, Ya; Chen, Yong; Zhou, Zijian; Zhu, Jiajing; Feng, Yan; Zhao, Gang

doi:10.1097/scs.0000000000001517

Cited by 13 publications

(10 citation statements)

References 8 publications

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“…To decrease the risk of intraoperative complications, the anatomy of this region should be evaluated thoroughly. [8]…”

Section: Sella Turcica Variations In Lateral Cephalometric Radiographmentioning

confidence: 99%

“…As the advanced radiological investigations are required for three-dimensional evaluations of the anatomic structures in the pre-operative period, identifying the presence of any variations of sella turcica in the lateral cephalometric radiographs may be beneficial as a preliminary information, providing a guide for the patient management. [8] Embryological development of sella turcica is associated with the development of craniofacial bones with its anterior part developing from the neural crest cells, and its posterior part developing from the paraxial mesodermal cells. Sella turcica plays a key role in the migration of neural crest cells towards the frontonasal and maxillary areas under embryologic development.…”

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confidence: 99%

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Sella turcica variations in lateral cephalometric radiographs and their association with malocclusions

Oktem¹,

Tunçer²,

Sencelikel³

et al. 2018

Anatomy

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The sphenoid bone which is located in the middle of the skull base articulates with most of the bones forming the skull. The so-called corpus sphenoidale is the body of sphenoid bone. The concavity in the middle part of the upper surface of corpus sphenoidale is the hypophyseal fossa, in which the hypophysis lies. [1,2] The hypophyseal fossa is limited by the tuberculum sellae anteriorly and dorsum sellae posteriorly. The two small processes on both sides of the tuberculum sellae are named as middle clinoid processes and the small processes on the superior lateral corners of the dorsum sellae are the posterior clinoid processes. The hypophyseal fossa is examined in three parts, namely, the anterior wall, poste-Abstract Objectives: Classification of the skeletal facial types is performed using certain reference points and planes in lateral cephalometric radiographs to plan orthodontic treatments. One of these reference points is sella turcica which is closely associated with craniofacial bone development. The aim of this study was to identify the association between the sella turcica variations and skeletal Class I, II, and III malocclusions. Methods:This study retrospectively evaluated 94 orthodontic patients (48 males and 46 females) between 14-26 years of age. Lateral cephalometric radiographs of the patients with skeletal Class I, II, and III malocclusions were classified into six groups according to sella turcica morphology: normal sella turcica, oblique anterior wall, double contour of the floor, sella turcica bridge, irregularity in the posterior part, and pyramidal shape of sella turcica. The length, depth, and diameter of sella turcica were measured. Sella turcica variations and radiographs of patients with Class I, II, and III malocclusions were compared statistically. Results:The correlation between the sella turcica variations and skeletal sagittal classification was statistically significant (p=0.017). 36.8% of the radiographs, which were classified as normal sella turcica were classified as Class I patients. There were no statistically significant differences between the skeletal Class I, II, and III malocclusions and sella turcica variations in terms of the length, depth, and diameter. Conclusion:For adequate patient referral and management, orthodontists should recognize sella turcica variations in lateral cephalometric radiographs, and these findings should arise an index of suspicion for associated pathologies, especially of the hypophyseal gland.

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“…To decrease the risk of intraoperative complications, the anatomy of this region should be evaluated thoroughly. [8]…”

Section: Sella Turcica Variations In Lateral Cephalometric Radiographmentioning

confidence: 99%

mentioning

confidence: 99%

Sella turcica variations in lateral cephalometric radiographs and their association with malocclusions

Oktem¹,

Tunçer²,

Sencelikel³

et al. 2018

Anatomy

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“…Owing to its natural connection with the nasal cavity, the SS is significant when planning surgical approaches to both intra- and extrasellar pathologies [1]. The posterior clinoid process (PCP) and dorsum sellae (DS) are located in the middle cranial fossa on the superior surface of the sphenoid bone and form slight bony eminences of variable shapes and pneumatisation grades [2-4]. In 1920, Congdon was the first to present a division of SS pneumatisation with reference to the sella turcica.…”

Section: Introductionmentioning

confidence: 99%

Pneumatization of the sphenoid sinus, dorsum sellae and posterior clinoid processes in computed tomography

Ilków¹,

Waligóra²,

Kunc³

et al. 2018

Pol J Radiol

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PurposeAssessment of sphenoid sinus (SS), posterior clinoid process (PCP), and dorsum sellae (DS) pneumatisation is significant when planning surgical approaches both to intra- and extrasellar pathologies. The authors analysed pneumatisation of the SS, with particular attention paid to pneumatisation of the PCP and DS.Material and methodsThe study was based on 100 computed tomography angiography examinations. SS, PCP, and DS pneumatisation grades were assessed using the classification system proposed by Hardy. The analyses were conducted in sagittal planes: midline plane (MP), sagittal posterior clinoid plane right (SPCP-R), and sagittal posterior clinoid plane left (SPCP-L). The occurrence of the highest pneumatisation grade (IVB according to Hardy), which encompasses DS and PCP, prompted the authors to conduct a further analysis in the coronal plane. In this way, seven DS and PCP pneumatisation symmetry types were identified.ResultsIn the MP and SPCP-R, the most frequent pneumatisation grade was grade III (41% and 38%, respectively). In the SPCP-L, grade IVA prevailed (41%). Grade IVB was found in 12% of the SPCP-R images, 10% of the SPCP-L images, and in 12% of the MP images. Consistent pneumatisation grades in all analysed planes were found for 64% of cases. This was usually grade III noted in 28% of cases.ConclusionsSS pneumatisation is characterised by considerable individual variability. There are a number of SS pneumatisation classification systems, but the system proposed by Hardy is the most useful for assessment of DS and PCP pneumatisation. Grade III of SS pneumatisation is the most common. Pneumatisation encompassing DS and PCP was found in 10-12% of cases.

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“…азвитие эндоскопической хирургии в области клиновидной пазухи, в частно-сти использование транссфеноидально-го доступа к турецкому седлу и основанию моз-га, поставило вопрос перед хирургами о том, как уменьшить процент осложнений при дан-ной манипуляции в операционный и послеопе-рационный период [1]. Для решения данного вопроса, в первую очередь, необходимо учиты-вать анатомическое расположение структур мозга и периферической нервной системы воз-ле зоны оперативной активности [1].…”

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“…Для решения данного вопроса, в первую очередь, необходимо учиты-вать анатомическое расположение структур мозга и периферической нервной системы воз-ле зоны оперативной активности [1]. В процессе операции могут быть повреждены такие анато-мические образования, как зрительный пере-крест, мост и гипофиз.…”

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Morphometric Features of the Sphenoid Sinus Syntopy According to the Computed Tomography Data

Basii¹,

Dovgyallo²,

Kostin³

2017

Rejr

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Anatomical Study of Posterior Clinoid Process (PCP) and Its Clinical Meanings

Cited by 13 publications

References 8 publications

Sella turcica variations in lateral cephalometric radiographs and their association with malocclusions

Sella turcica variations in lateral cephalometric radiographs and their association with malocclusions

Pneumatization of the sphenoid sinus, dorsum sellae and posterior clinoid processes in computed tomography

Morphometric Features of the Sphenoid Sinus Syntopy According to the Computed Tomography Data

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