A comparison of the long‐term results of crushing and crushing with intrinsic stripping techniques in concha bullosa surgery

Eren, Sabri Baki; Kocak, Ilker; Doğan, Remzi; Özturan, Orhan; Yıldırım, Yavuz Selim; Tuğrul, Selahattin

doi:10.1002/alr.21360

Cited by 12 publications

(9 citation statements)

References 16 publications

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“…Furthermore, assessment of concha bullosa is not routinely included in surgeon-based checklists. 10 This may result in concha bullosa not being identified pre-operatively and therefore not addressed intra-operatively. The role of a convolutional neural network such as the one described in this study, which can accurately identify the presence of clinically relevant concha bullosa, therefore has excellent potential clinical utility.…”

Section: Discussionmentioning

confidence: 99%

“…Therefore, when concha bullosa is identified pre-operatively or intra-operatively in sinonasal surgery, it is typically addressed surgically, which has been demonstrated to aid nasal airflow and alleviate chronic rhinosinusitis. 8–10 As a result, various techniques are utilised to open the concha bullosa and reduce the bulkiness of the middle turbinate complex. These range from crushing, stripping, marsupialisation, and medial and lateral laminectomy to complete middle turbinectomy.…”

Section: Introductionmentioning

confidence: 99%

“…These range from crushing, stripping, marsupialisation, and medial and lateral laminectomy to complete middle turbinectomy. 9,10…”

Section: Introductionmentioning

confidence: 99%

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An artificial intelligence algorithm that identifies middle turbinate pneumatisation (concha bullosa) on sinus computed tomography scans

et al. 2020

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ObjectiveConvolutional neural networks are a subclass of deep learning or artificial intelligence that are predominantly used for image analysis and classification. This proof-of-concept study attempts to train a convolutional neural network algorithm that can reliably determine if the middle turbinate is pneumatised (concha bullosa) on coronal sinus computed tomography images.MethodConsecutive high-resolution computed tomography scans of the paranasal sinuses were retrospectively collected between January 2016 and December 2018 at a tertiary rhinology hospital in Australia. The classification layer of Inception-V3 was retrained in Python using a transfer learning method to interpret the computed tomography images. Segmentation analysis was also performed in an attempt to increase diagnostic accuracy.ResultsThe trained convolutional neural network was found to have diagnostic accuracy of 81 per cent (95 per cent confidence interval: 73.0–89.0 per cent) with an area under the curve of 0.93.ConclusionA trained convolutional neural network algorithm appears to successfully identify pneumatisation of the middle turbinate with high accuracy. Further studies can be pursued to test its ability in other clinically important anatomical variants in otolaryngology and rhinology.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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An artificial intelligence algorithm that identifies middle turbinate pneumatisation (concha bullosa) on sinus computed tomography scans

et al. 2020

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“…In addition, the nasal anatomy and physiology are more protected in this surgical intervention. 15,16 Koçak et al reported that the crushing technique was an effective treatment method in all CB types, which provided a sufficient reduction in middle concha volume, and did not cause any subjective deterioration in the perception of smell. 4 In the current study, the lateral turbinectomy method was preferred in the treatment of CB fully obstructing the nasal passage, and the crushing method was selected for cases where the CB did not fully obstruct the nasal passage.…”

Section: Discussionmentioning

confidence: 99%

Comparison of the Effects of 2 Surgical Techniques Used in the Treatment of Concha Bullosa on Olfactory Functions

et al. 2019

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Introduction: Concha bullosa (CB), which is pneumatization of the concha, is one of the most commonly seen anatomic variations of the lateral nasal wall. Objective: To investigate the effects on olfactory function of lateral turbinectomy and crushing methods used in the surgical treatment of CB. Methods: The study included a total of 47 patients operated on for a diagnosis of CB and nasal septum deviation. The patients comprised 22 females and 25 males, with bilateral CB in 18 cases and unilateral in 29 cases. Intervention was made to a total of 65 CB. The cases were separated as those applied with septoplasty and lateral turbinectomy in group 1 (n = 34) and those applied with the septoplasty and crushing method in group 2 (n = 31). The olfactory function of the patients was evaluated preoperatively and at 3 months postoperatively with the Brief Smell Identification Test. Results: A statistically significant increase was determined in the postoperative smell test results compared with the preoperative values in both group 1 ( P = .021) and group 2 ( P = .001). When the change in the smell test results from preoperative to postoperative was compared between the groups, the increase in group 2 was determined to be statistically significantly greater ( P = .002). Conclusion: The results of this study showed that the crushing method in surgical treatment of CB increased olfactory functions more than the lateral resection method, and as the improvement in olfactory functions was greater, this demonstrated that only increasing the nasal cavity is not sufficient and the nasal mucosa should be protected as far as possible.

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“…Concha bullosa is caused by pneumatized middle turbinate, one of the anatomic variations of paranasal region (4,5). For the first time in 1893, was described by Zuckerkandl (6).…”

Section: Introductionmentioning

confidence: 99%

A Rare Cause of Nasal Obstruction and Headache: A Giant Bullae Ethmoidalis Inside the Concha Bullosa

Tuğrul¹,

Doğan²,

Ocak³

et al. 2014

Mustafa Kemal Üniversitesi Tıp Dergisi

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A comparison of the long‐term results of crushing and crushing with intrinsic stripping techniques in concha bullosa surgery

Abstract: Crushing with intrinsic stripping is an effective and easy technique; when compared to crushing alone; this technique provides a significantly more decrease in middle concha volumes as demonstrated both by the CT and by endoscopic evaluations.

Cited by 12 publications

References 16 publications

An artificial intelligence algorithm that identifies middle turbinate pneumatisation (concha bullosa) on sinus computed tomography scans

An artificial intelligence algorithm that identifies middle turbinate pneumatisation (concha bullosa) on sinus computed tomography scans

Comparison of the Effects of 2 Surgical Techniques Used in the Treatment of Concha Bullosa on Olfactory Functions

A Rare Cause of Nasal Obstruction and Headache: A Giant Bullae Ethmoidalis Inside the Concha Bullosa

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