Assessment of the preoperative computed tomographic predictability for round window membrane visibility and accessibility during cochlear implant surgery

Abstract Objectives The aim of the present study was to assess the preoperative predictability of multi-slice computed tomography for round window membrane (RWM) visibility and accessibility through round window niche (RWN) intraoperatively. Patients and methods Computed tomographic scans of 61 adul...
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Gespeichert in:

Autor*in:	Ahmed Galal [verfasserIn] Omneya G. Eldin [verfasserIn] Fatthi Baki [verfasserIn] Mario Sanna [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2019

Schlagwörter:	cochlear implant computed tomography round window niche

Übergeordnetes Werk:	In: The Egyptian Journal of Otolaryngology - SpringerOpen, 2020, 35(2019), 3, Seite 278-287
Übergeordnetes Werk:	volume:35 ; year:2019 ; number:3 ; pages:278-287

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc Journal toc

DOI / URN:	10.4103/ejo.ejo_4_19

Katalog-ID:	DOAJ074310100

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520			\|a Abstract Objectives The aim of the present study was to assess the preoperative predictability of multi-slice computed tomography for round window membrane (RWM) visibility and accessibility through round window niche (RWN) intraoperatively. Patients and methods Computed tomographic scans of 61 adult cochlear implant patients with otherwise normal temporal bone anatomy were studied for RWN extent using two methods. The first was a modification of a method by Park and colleagues and another simple method proposed by our group. The visibility of the RWN through RWN was assessed intraoperatively after performing the posterior tympanotomy and good exposure of the RWN. Statistical analysis was then performed. Results Modified Park and colleagues method was statistically significant in predicting RWM visibility (P=0.018) and a cutoff point was detected at more than or equal to 0.7 with a specificity of 69.23% for low or no visibility of RWM. Our proposed method was also statistically significant (P=0.001) with a cutoff point of more than or equal to 1.43mm with a specificity of 96.15%. Discussion RWN depth has been studied repeatedly in the literature with only rarely correlation to intraoperative findings. These methods were also frequently either cadaveric or radiological with complex reconstruction, thus were with doubtful clinical value. In the present study, two methods were used and were found to be significant to predict the degree of visibility of RWN visibility through RWM. Conclusion The modified Park’s and our proposed methods can statistically significantly predict RWM visibility through RWN. However, our proposed method had higher specificity and smaller P value.
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allfields	10.4103/ejo.ejo_4_19 doi (DE-627)DOAJ074310100 (DE-599)DOAJ78e447c98c744ac09a7556aa20532336 DE-627 ger DE-627 rakwb eng RF1-547 Ahmed Galal verfasserin aut Assessment of the preoperative computed tomographic predictability for round window membrane visibility and accessibility during cochlear implant surgery 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Objectives The aim of the present study was to assess the preoperative predictability of multi-slice computed tomography for round window membrane (RWM) visibility and accessibility through round window niche (RWN) intraoperatively. Patients and methods Computed tomographic scans of 61 adult cochlear implant patients with otherwise normal temporal bone anatomy were studied for RWN extent using two methods. The first was a modification of a method by Park and colleagues and another simple method proposed by our group. The visibility of the RWN through RWN was assessed intraoperatively after performing the posterior tympanotomy and good exposure of the RWN. Statistical analysis was then performed. Results Modified Park and colleagues method was statistically significant in predicting RWM visibility (P=0.018) and a cutoff point was detected at more than or equal to 0.7 with a specificity of 69.23% for low or no visibility of RWM. Our proposed method was also statistically significant (P=0.001) with a cutoff point of more than or equal to 1.43mm with a specificity of 96.15%. Discussion RWN depth has been studied repeatedly in the literature with only rarely correlation to intraoperative findings. These methods were also frequently either cadaveric or radiological with complex reconstruction, thus were with doubtful clinical value. In the present study, two methods were used and were found to be significant to predict the degree of visibility of RWN visibility through RWM. Conclusion The modified Park’s and our proposed methods can statistically significantly predict RWM visibility through RWN. However, our proposed method had higher specificity and smaller P value. cochlear implant computed tomography round window niche Otorhinolaryngology Omneya G. Eldin verfasserin aut Fatthi Baki verfasserin aut Mario Sanna verfasserin aut In The Egyptian Journal of Otolaryngology SpringerOpen, 2020 35(2019), 3, Seite 278-287 (DE-627)872928373 (DE-600)2875428-1 20908539 nnns volume:35 year:2019 number:3 pages:278-287 https://doi.org/10.4103/ejo.ejo_4_19 kostenfrei https://doaj.org/article/78e447c98c744ac09a7556aa20532336 kostenfrei http://link.springer.com/article/10.4103/ejo.ejo_4_19 kostenfrei https://doaj.org/toc/1012-5574 Journal toc kostenfrei https://doaj.org/toc/2090-8539 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 35 2019 3 278-287
spelling	10.4103/ejo.ejo_4_19 doi (DE-627)DOAJ074310100 (DE-599)DOAJ78e447c98c744ac09a7556aa20532336 DE-627 ger DE-627 rakwb eng RF1-547 Ahmed Galal verfasserin aut Assessment of the preoperative computed tomographic predictability for round window membrane visibility and accessibility during cochlear implant surgery 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Objectives The aim of the present study was to assess the preoperative predictability of multi-slice computed tomography for round window membrane (RWM) visibility and accessibility through round window niche (RWN) intraoperatively. Patients and methods Computed tomographic scans of 61 adult cochlear implant patients with otherwise normal temporal bone anatomy were studied for RWN extent using two methods. The first was a modification of a method by Park and colleagues and another simple method proposed by our group. The visibility of the RWN through RWN was assessed intraoperatively after performing the posterior tympanotomy and good exposure of the RWN. Statistical analysis was then performed. Results Modified Park and colleagues method was statistically significant in predicting RWM visibility (P=0.018) and a cutoff point was detected at more than or equal to 0.7 with a specificity of 69.23% for low or no visibility of RWM. Our proposed method was also statistically significant (P=0.001) with a cutoff point of more than or equal to 1.43mm with a specificity of 96.15%. Discussion RWN depth has been studied repeatedly in the literature with only rarely correlation to intraoperative findings. These methods were also frequently either cadaveric or radiological with complex reconstruction, thus were with doubtful clinical value. In the present study, two methods were used and were found to be significant to predict the degree of visibility of RWN visibility through RWM. Conclusion The modified Park’s and our proposed methods can statistically significantly predict RWM visibility through RWN. However, our proposed method had higher specificity and smaller P value. cochlear implant computed tomography round window niche Otorhinolaryngology Omneya G. Eldin verfasserin aut Fatthi Baki verfasserin aut Mario Sanna verfasserin aut In The Egyptian Journal of Otolaryngology SpringerOpen, 2020 35(2019), 3, Seite 278-287 (DE-627)872928373 (DE-600)2875428-1 20908539 nnns volume:35 year:2019 number:3 pages:278-287 https://doi.org/10.4103/ejo.ejo_4_19 kostenfrei https://doaj.org/article/78e447c98c744ac09a7556aa20532336 kostenfrei http://link.springer.com/article/10.4103/ejo.ejo_4_19 kostenfrei https://doaj.org/toc/1012-5574 Journal toc kostenfrei https://doaj.org/toc/2090-8539 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 35 2019 3 278-287
allfields_unstemmed	10.4103/ejo.ejo_4_19 doi (DE-627)DOAJ074310100 (DE-599)DOAJ78e447c98c744ac09a7556aa20532336 DE-627 ger DE-627 rakwb eng RF1-547 Ahmed Galal verfasserin aut Assessment of the preoperative computed tomographic predictability for round window membrane visibility and accessibility during cochlear implant surgery 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Objectives The aim of the present study was to assess the preoperative predictability of multi-slice computed tomography for round window membrane (RWM) visibility and accessibility through round window niche (RWN) intraoperatively. Patients and methods Computed tomographic scans of 61 adult cochlear implant patients with otherwise normal temporal bone anatomy were studied for RWN extent using two methods. The first was a modification of a method by Park and colleagues and another simple method proposed by our group. The visibility of the RWN through RWN was assessed intraoperatively after performing the posterior tympanotomy and good exposure of the RWN. Statistical analysis was then performed. Results Modified Park and colleagues method was statistically significant in predicting RWM visibility (P=0.018) and a cutoff point was detected at more than or equal to 0.7 with a specificity of 69.23% for low or no visibility of RWM. Our proposed method was also statistically significant (P=0.001) with a cutoff point of more than or equal to 1.43mm with a specificity of 96.15%. Discussion RWN depth has been studied repeatedly in the literature with only rarely correlation to intraoperative findings. These methods were also frequently either cadaveric or radiological with complex reconstruction, thus were with doubtful clinical value. In the present study, two methods were used and were found to be significant to predict the degree of visibility of RWN visibility through RWM. Conclusion The modified Park’s and our proposed methods can statistically significantly predict RWM visibility through RWN. However, our proposed method had higher specificity and smaller P value. cochlear implant computed tomography round window niche Otorhinolaryngology Omneya G. Eldin verfasserin aut Fatthi Baki verfasserin aut Mario Sanna verfasserin aut In The Egyptian Journal of Otolaryngology SpringerOpen, 2020 35(2019), 3, Seite 278-287 (DE-627)872928373 (DE-600)2875428-1 20908539 nnns volume:35 year:2019 number:3 pages:278-287 https://doi.org/10.4103/ejo.ejo_4_19 kostenfrei https://doaj.org/article/78e447c98c744ac09a7556aa20532336 kostenfrei http://link.springer.com/article/10.4103/ejo.ejo_4_19 kostenfrei https://doaj.org/toc/1012-5574 Journal toc kostenfrei https://doaj.org/toc/2090-8539 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 35 2019 3 278-287
allfieldsGer	10.4103/ejo.ejo_4_19 doi (DE-627)DOAJ074310100 (DE-599)DOAJ78e447c98c744ac09a7556aa20532336 DE-627 ger DE-627 rakwb eng RF1-547 Ahmed Galal verfasserin aut Assessment of the preoperative computed tomographic predictability for round window membrane visibility and accessibility during cochlear implant surgery 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Objectives The aim of the present study was to assess the preoperative predictability of multi-slice computed tomography for round window membrane (RWM) visibility and accessibility through round window niche (RWN) intraoperatively. Patients and methods Computed tomographic scans of 61 adult cochlear implant patients with otherwise normal temporal bone anatomy were studied for RWN extent using two methods. The first was a modification of a method by Park and colleagues and another simple method proposed by our group. The visibility of the RWN through RWN was assessed intraoperatively after performing the posterior tympanotomy and good exposure of the RWN. Statistical analysis was then performed. Results Modified Park and colleagues method was statistically significant in predicting RWM visibility (P=0.018) and a cutoff point was detected at more than or equal to 0.7 with a specificity of 69.23% for low or no visibility of RWM. Our proposed method was also statistically significant (P=0.001) with a cutoff point of more than or equal to 1.43mm with a specificity of 96.15%. Discussion RWN depth has been studied repeatedly in the literature with only rarely correlation to intraoperative findings. These methods were also frequently either cadaveric or radiological with complex reconstruction, thus were with doubtful clinical value. In the present study, two methods were used and were found to be significant to predict the degree of visibility of RWN visibility through RWM. Conclusion The modified Park’s and our proposed methods can statistically significantly predict RWM visibility through RWN. However, our proposed method had higher specificity and smaller P value. cochlear implant computed tomography round window niche Otorhinolaryngology Omneya G. Eldin verfasserin aut Fatthi Baki verfasserin aut Mario Sanna verfasserin aut In The Egyptian Journal of Otolaryngology SpringerOpen, 2020 35(2019), 3, Seite 278-287 (DE-627)872928373 (DE-600)2875428-1 20908539 nnns volume:35 year:2019 number:3 pages:278-287 https://doi.org/10.4103/ejo.ejo_4_19 kostenfrei https://doaj.org/article/78e447c98c744ac09a7556aa20532336 kostenfrei http://link.springer.com/article/10.4103/ejo.ejo_4_19 kostenfrei https://doaj.org/toc/1012-5574 Journal toc kostenfrei https://doaj.org/toc/2090-8539 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 35 2019 3 278-287
allfieldsSound	10.4103/ejo.ejo_4_19 doi (DE-627)DOAJ074310100 (DE-599)DOAJ78e447c98c744ac09a7556aa20532336 DE-627 ger DE-627 rakwb eng RF1-547 Ahmed Galal verfasserin aut Assessment of the preoperative computed tomographic predictability for round window membrane visibility and accessibility during cochlear implant surgery 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Objectives The aim of the present study was to assess the preoperative predictability of multi-slice computed tomography for round window membrane (RWM) visibility and accessibility through round window niche (RWN) intraoperatively. Patients and methods Computed tomographic scans of 61 adult cochlear implant patients with otherwise normal temporal bone anatomy were studied for RWN extent using two methods. The first was a modification of a method by Park and colleagues and another simple method proposed by our group. The visibility of the RWN through RWN was assessed intraoperatively after performing the posterior tympanotomy and good exposure of the RWN. Statistical analysis was then performed. Results Modified Park and colleagues method was statistically significant in predicting RWM visibility (P=0.018) and a cutoff point was detected at more than or equal to 0.7 with a specificity of 69.23% for low or no visibility of RWM. Our proposed method was also statistically significant (P=0.001) with a cutoff point of more than or equal to 1.43mm with a specificity of 96.15%. Discussion RWN depth has been studied repeatedly in the literature with only rarely correlation to intraoperative findings. These methods were also frequently either cadaveric or radiological with complex reconstruction, thus were with doubtful clinical value. In the present study, two methods were used and were found to be significant to predict the degree of visibility of RWN visibility through RWM. Conclusion The modified Park’s and our proposed methods can statistically significantly predict RWM visibility through RWN. However, our proposed method had higher specificity and smaller P value. cochlear implant computed tomography round window niche Otorhinolaryngology Omneya G. Eldin verfasserin aut Fatthi Baki verfasserin aut Mario Sanna verfasserin aut In The Egyptian Journal of Otolaryngology SpringerOpen, 2020 35(2019), 3, Seite 278-287 (DE-627)872928373 (DE-600)2875428-1 20908539 nnns volume:35 year:2019 number:3 pages:278-287 https://doi.org/10.4103/ejo.ejo_4_19 kostenfrei https://doaj.org/article/78e447c98c744ac09a7556aa20532336 kostenfrei http://link.springer.com/article/10.4103/ejo.ejo_4_19 kostenfrei https://doaj.org/toc/1012-5574 Journal toc kostenfrei https://doaj.org/toc/2090-8539 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 35 2019 3 278-287
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source	In The Egyptian Journal of Otolaryngology 35(2019), 3, Seite 278-287 volume:35 year:2019 number:3 pages:278-287
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Patients and methods Computed tomographic scans of 61 adult cochlear implant patients with otherwise normal temporal bone anatomy were studied for RWN extent using two methods. The first was a modification of a method by Park and colleagues and another simple method proposed by our group. The visibility of the RWN through RWN was assessed intraoperatively after performing the posterior tympanotomy and good exposure of the RWN. Statistical analysis was then performed. Results Modified Park and colleagues method was statistically significant in predicting RWM visibility (P=0.018) and a cutoff point was detected at more than or equal to 0.7 with a specificity of 69.23% for low or no visibility of RWM. Our proposed method was also statistically significant (P=0.001) with a cutoff point of more than or equal to 1.43mm with a specificity of 96.15%. Discussion RWN depth has been studied repeatedly in the literature with only rarely correlation to intraoperative findings. These methods were also frequently either cadaveric or radiological with complex reconstruction, thus were with doubtful clinical value. In the present study, two methods were used and were found to be significant to predict the degree of visibility of RWN visibility through RWM. Conclusion The modified Park’s and our proposed methods can statistically significantly predict RWM visibility through RWN. However, our proposed method had higher specificity and smaller P value.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">cochlear implant</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">computed tomography</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">round window niche</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Otorhinolaryngology</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Omneya G. 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callnumber-first	R - Medicine
author	Ahmed Galal
spellingShingle	Ahmed Galal misc RF1-547 misc cochlear implant misc computed tomography misc round window niche misc Otorhinolaryngology Assessment of the preoperative computed tomographic predictability for round window membrane visibility and accessibility during cochlear implant surgery
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topic_title	RF1-547 Assessment of the preoperative computed tomographic predictability for round window membrane visibility and accessibility during cochlear implant surgery cochlear implant computed tomography round window niche
topic	misc RF1-547 misc cochlear implant misc computed tomography misc round window niche misc Otorhinolaryngology
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title	Assessment of the preoperative computed tomographic predictability for round window membrane visibility and accessibility during cochlear implant surgery
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title_full	Assessment of the preoperative computed tomographic predictability for round window membrane visibility and accessibility during cochlear implant surgery
author_sort	Ahmed Galal
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author_browse	Ahmed Galal Omneya G. Eldin Fatthi Baki Mario Sanna
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title_sort	assessment of the preoperative computed tomographic predictability for round window membrane visibility and accessibility during cochlear implant surgery
callnumber	RF1-547
title_auth	Assessment of the preoperative computed tomographic predictability for round window membrane visibility and accessibility during cochlear implant surgery
abstract	Abstract Objectives The aim of the present study was to assess the preoperative predictability of multi-slice computed tomography for round window membrane (RWM) visibility and accessibility through round window niche (RWN) intraoperatively. Patients and methods Computed tomographic scans of 61 adult cochlear implant patients with otherwise normal temporal bone anatomy were studied for RWN extent using two methods. The first was a modification of a method by Park and colleagues and another simple method proposed by our group. The visibility of the RWN through RWN was assessed intraoperatively after performing the posterior tympanotomy and good exposure of the RWN. Statistical analysis was then performed. Results Modified Park and colleagues method was statistically significant in predicting RWM visibility (P=0.018) and a cutoff point was detected at more than or equal to 0.7 with a specificity of 69.23% for low or no visibility of RWM. Our proposed method was also statistically significant (P=0.001) with a cutoff point of more than or equal to 1.43mm with a specificity of 96.15%. Discussion RWN depth has been studied repeatedly in the literature with only rarely correlation to intraoperative findings. These methods were also frequently either cadaveric or radiological with complex reconstruction, thus were with doubtful clinical value. In the present study, two methods were used and were found to be significant to predict the degree of visibility of RWN visibility through RWM. Conclusion The modified Park’s and our proposed methods can statistically significantly predict RWM visibility through RWN. However, our proposed method had higher specificity and smaller P value.
abstractGer	Abstract Objectives The aim of the present study was to assess the preoperative predictability of multi-slice computed tomography for round window membrane (RWM) visibility and accessibility through round window niche (RWN) intraoperatively. Patients and methods Computed tomographic scans of 61 adult cochlear implant patients with otherwise normal temporal bone anatomy were studied for RWN extent using two methods. The first was a modification of a method by Park and colleagues and another simple method proposed by our group. The visibility of the RWN through RWN was assessed intraoperatively after performing the posterior tympanotomy and good exposure of the RWN. Statistical analysis was then performed. Results Modified Park and colleagues method was statistically significant in predicting RWM visibility (P=0.018) and a cutoff point was detected at more than or equal to 0.7 with a specificity of 69.23% for low or no visibility of RWM. Our proposed method was also statistically significant (P=0.001) with a cutoff point of more than or equal to 1.43mm with a specificity of 96.15%. Discussion RWN depth has been studied repeatedly in the literature with only rarely correlation to intraoperative findings. These methods were also frequently either cadaveric or radiological with complex reconstruction, thus were with doubtful clinical value. In the present study, two methods were used and were found to be significant to predict the degree of visibility of RWN visibility through RWM. Conclusion The modified Park’s and our proposed methods can statistically significantly predict RWM visibility through RWN. However, our proposed method had higher specificity and smaller P value.
abstract_unstemmed	Abstract Objectives The aim of the present study was to assess the preoperative predictability of multi-slice computed tomography for round window membrane (RWM) visibility and accessibility through round window niche (RWN) intraoperatively. Patients and methods Computed tomographic scans of 61 adult cochlear implant patients with otherwise normal temporal bone anatomy were studied for RWN extent using two methods. The first was a modification of a method by Park and colleagues and another simple method proposed by our group. The visibility of the RWN through RWN was assessed intraoperatively after performing the posterior tympanotomy and good exposure of the RWN. Statistical analysis was then performed. Results Modified Park and colleagues method was statistically significant in predicting RWM visibility (P=0.018) and a cutoff point was detected at more than or equal to 0.7 with a specificity of 69.23% for low or no visibility of RWM. Our proposed method was also statistically significant (P=0.001) with a cutoff point of more than or equal to 1.43mm with a specificity of 96.15%. Discussion RWN depth has been studied repeatedly in the literature with only rarely correlation to intraoperative findings. These methods were also frequently either cadaveric or radiological with complex reconstruction, thus were with doubtful clinical value. In the present study, two methods were used and were found to be significant to predict the degree of visibility of RWN visibility through RWM. Conclusion The modified Park’s and our proposed methods can statistically significantly predict RWM visibility through RWN. However, our proposed method had higher specificity and smaller P value.
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title_short	Assessment of the preoperative computed tomographic predictability for round window membrane visibility and accessibility during cochlear implant surgery
url	https://doi.org/10.4103/ejo.ejo_4_19 https://doaj.org/article/78e447c98c744ac09a7556aa20532336 http://link.springer.com/article/10.4103/ejo.ejo_4_19 https://doaj.org/toc/1012-5574 https://doaj.org/toc/2090-8539
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author2	Omneya G. Eldin Fatthi Baki Mario Sanna
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up_date	2024-07-03T22:27:32.770Z
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These methods were also frequently either cadaveric or radiological with complex reconstruction, thus were with doubtful clinical value. In the present study, two methods were used and were found to be significant to predict the degree of visibility of RWN visibility through RWM. Conclusion The modified Park’s and our proposed methods can statistically significantly predict RWM visibility through RWN. However, our proposed method had higher specificity and smaller P value.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">cochlear implant</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">computed tomography</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">round window niche</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Otorhinolaryngology</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Omneya G. 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Assessment of the preoperative computed tomographic predictability for round window membrane visibility and accessibility during cochlear implant surgery

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