Predictability of intraocular lens power calculation in eyes after phototherapeutic keratectomy
Purpose To compare the predictability of intraocular lens (IOL) power calculation using several corneal power measurements in eyes that underwent phototherapeutic keratectomy (PTK). Study design Retrospective case series. Methods We reviewed the clinical charts of 42 eyes of 25 consecutive patients...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Yoneyama, Ryo [verfasserIn] Kamiya, Kazutaka [verfasserIn] Iijima, Kei [verfasserIn] Takahashi, Masahide [verfasserIn] Shoji, Nobuyuki [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2019 |
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| Schlagwörter: |
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| Übergeordnetes Werk: |
Enthalten in: Japanese journal of ophthalmology - Tokyo : Springer, 1957, 64(2019), 1 vom: 05. Nov., Seite 62-67 |
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| Übergeordnetes Werk: |
volume:64 ; year:2019 ; number:1 ; day:05 ; month:11 ; pages:62-67 |
| Links: |
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| DOI / URN: |
10.1007/s10384-019-00699-y |
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SPR010268499 |
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| 520 | |a Purpose To compare the predictability of intraocular lens (IOL) power calculation using several corneal power measurements in eyes that underwent phototherapeutic keratectomy (PTK). Study design Retrospective case series. Methods We reviewed the clinical charts of 42 eyes of 25 consecutive patients who underwent cataract surgery after PTK for granular corneal dystrophy or band keratopathy. IOL power calculations were performed using the SRK/T formula with four corneal power measurements [automated keratometry (AK) measured with a partial coherence interferometer, simulated keratometry (Sim K), true net power (TNP), and total corneal refractive power (TCRP) measured with a rotating Scheimpflug camera]; we determined the prediction error, absolute error, and percentage within ± 1.0 D of the targeted refraction, 1 month postoperatively. Results The prediction error in the TCRP group was significantly better than those in the AK, Sim K, and TNP groups. The absolute error was also significantly better than those in the AK and Sim K groups, but not significantly different from that in the TNP group. The percentages of within ± 0.5 and 1.0 D in the TCRP group were significantly higher than those in the AK and Sim K groups, but not significantly different from that in the TNP group. Conclusions The TCRP provides the highest predictability of IOL power calculation in post-PTK eyes. This result suggests that the use of the TCRP, rather than of conventional anterior keratometry, may be clinically helpful for improving the refractive accuracy of post-PTK eyes. | ||
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| 650 | 4 | |a Cataract surgery |7 (dpeaa)DE-He213 | |
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| 700 | 1 | |a Shoji, Nobuyuki |e verfasserin |4 aut | |
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10.1007/s10384-019-00699-y doi (DE-627)SPR010268499 (SPR)s10384-019-00699-y-e DE-627 ger DE-627 rakwb eng 610 ASE 610 ASE 44.95 bkl Yoneyama, Ryo verfasserin aut Predictability of intraocular lens power calculation in eyes after phototherapeutic keratectomy 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Purpose To compare the predictability of intraocular lens (IOL) power calculation using several corneal power measurements in eyes that underwent phototherapeutic keratectomy (PTK). Study design Retrospective case series. Methods We reviewed the clinical charts of 42 eyes of 25 consecutive patients who underwent cataract surgery after PTK for granular corneal dystrophy or band keratopathy. IOL power calculations were performed using the SRK/T formula with four corneal power measurements [automated keratometry (AK) measured with a partial coherence interferometer, simulated keratometry (Sim K), true net power (TNP), and total corneal refractive power (TCRP) measured with a rotating Scheimpflug camera]; we determined the prediction error, absolute error, and percentage within ± 1.0 D of the targeted refraction, 1 month postoperatively. Results The prediction error in the TCRP group was significantly better than those in the AK, Sim K, and TNP groups. The absolute error was also significantly better than those in the AK and Sim K groups, but not significantly different from that in the TNP group. The percentages of within ± 0.5 and 1.0 D in the TCRP group were significantly higher than those in the AK and Sim K groups, but not significantly different from that in the TNP group. Conclusions The TCRP provides the highest predictability of IOL power calculation in post-PTK eyes. This result suggests that the use of the TCRP, rather than of conventional anterior keratometry, may be clinically helpful for improving the refractive accuracy of post-PTK eyes. PTK (dpeaa)DE-He213 Predictability (dpeaa)DE-He213 Prediction error (dpeaa)DE-He213 Absolute error (dpeaa)DE-He213 Cataract surgery (dpeaa)DE-He213 Kamiya, Kazutaka verfasserin aut Iijima, Kei verfasserin aut Takahashi, Masahide verfasserin aut Shoji, Nobuyuki verfasserin aut Enthalten in Japanese journal of ophthalmology Tokyo : Springer, 1957 64(2019), 1 vom: 05. Nov., Seite 62-67 (DE-627)320482405 (DE-600)2009957-5 1613-2246 nnns volume:64 year:2019 number:1 day:05 month:11 pages:62-67 https://dx.doi.org/10.1007/s10384-019-00699-y lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_267 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_711 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 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_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 44.95 ASE AR 64 2019 1 05 11 62-67 |
| spelling |
10.1007/s10384-019-00699-y doi (DE-627)SPR010268499 (SPR)s10384-019-00699-y-e DE-627 ger DE-627 rakwb eng 610 ASE 610 ASE 44.95 bkl Yoneyama, Ryo verfasserin aut Predictability of intraocular lens power calculation in eyes after phototherapeutic keratectomy 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Purpose To compare the predictability of intraocular lens (IOL) power calculation using several corneal power measurements in eyes that underwent phototherapeutic keratectomy (PTK). Study design Retrospective case series. Methods We reviewed the clinical charts of 42 eyes of 25 consecutive patients who underwent cataract surgery after PTK for granular corneal dystrophy or band keratopathy. IOL power calculations were performed using the SRK/T formula with four corneal power measurements [automated keratometry (AK) measured with a partial coherence interferometer, simulated keratometry (Sim K), true net power (TNP), and total corneal refractive power (TCRP) measured with a rotating Scheimpflug camera]; we determined the prediction error, absolute error, and percentage within ± 1.0 D of the targeted refraction, 1 month postoperatively. Results The prediction error in the TCRP group was significantly better than those in the AK, Sim K, and TNP groups. The absolute error was also significantly better than those in the AK and Sim K groups, but not significantly different from that in the TNP group. The percentages of within ± 0.5 and 1.0 D in the TCRP group were significantly higher than those in the AK and Sim K groups, but not significantly different from that in the TNP group. Conclusions The TCRP provides the highest predictability of IOL power calculation in post-PTK eyes. This result suggests that the use of the TCRP, rather than of conventional anterior keratometry, may be clinically helpful for improving the refractive accuracy of post-PTK eyes. PTK (dpeaa)DE-He213 Predictability (dpeaa)DE-He213 Prediction error (dpeaa)DE-He213 Absolute error (dpeaa)DE-He213 Cataract surgery (dpeaa)DE-He213 Kamiya, Kazutaka verfasserin aut Iijima, Kei verfasserin aut Takahashi, Masahide verfasserin aut Shoji, Nobuyuki verfasserin aut Enthalten in Japanese journal of ophthalmology Tokyo : Springer, 1957 64(2019), 1 vom: 05. Nov., Seite 62-67 (DE-627)320482405 (DE-600)2009957-5 1613-2246 nnns volume:64 year:2019 number:1 day:05 month:11 pages:62-67 https://dx.doi.org/10.1007/s10384-019-00699-y lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_267 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_711 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 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_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 44.95 ASE AR 64 2019 1 05 11 62-67 |
| allfields_unstemmed |
10.1007/s10384-019-00699-y doi (DE-627)SPR010268499 (SPR)s10384-019-00699-y-e DE-627 ger DE-627 rakwb eng 610 ASE 610 ASE 44.95 bkl Yoneyama, Ryo verfasserin aut Predictability of intraocular lens power calculation in eyes after phototherapeutic keratectomy 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Purpose To compare the predictability of intraocular lens (IOL) power calculation using several corneal power measurements in eyes that underwent phototherapeutic keratectomy (PTK). Study design Retrospective case series. Methods We reviewed the clinical charts of 42 eyes of 25 consecutive patients who underwent cataract surgery after PTK for granular corneal dystrophy or band keratopathy. IOL power calculations were performed using the SRK/T formula with four corneal power measurements [automated keratometry (AK) measured with a partial coherence interferometer, simulated keratometry (Sim K), true net power (TNP), and total corneal refractive power (TCRP) measured with a rotating Scheimpflug camera]; we determined the prediction error, absolute error, and percentage within ± 1.0 D of the targeted refraction, 1 month postoperatively. Results The prediction error in the TCRP group was significantly better than those in the AK, Sim K, and TNP groups. The absolute error was also significantly better than those in the AK and Sim K groups, but not significantly different from that in the TNP group. The percentages of within ± 0.5 and 1.0 D in the TCRP group were significantly higher than those in the AK and Sim K groups, but not significantly different from that in the TNP group. Conclusions The TCRP provides the highest predictability of IOL power calculation in post-PTK eyes. This result suggests that the use of the TCRP, rather than of conventional anterior keratometry, may be clinically helpful for improving the refractive accuracy of post-PTK eyes. PTK (dpeaa)DE-He213 Predictability (dpeaa)DE-He213 Prediction error (dpeaa)DE-He213 Absolute error (dpeaa)DE-He213 Cataract surgery (dpeaa)DE-He213 Kamiya, Kazutaka verfasserin aut Iijima, Kei verfasserin aut Takahashi, Masahide verfasserin aut Shoji, Nobuyuki verfasserin aut Enthalten in Japanese journal of ophthalmology Tokyo : Springer, 1957 64(2019), 1 vom: 05. Nov., Seite 62-67 (DE-627)320482405 (DE-600)2009957-5 1613-2246 nnns volume:64 year:2019 number:1 day:05 month:11 pages:62-67 https://dx.doi.org/10.1007/s10384-019-00699-y lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_267 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_711 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 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_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 44.95 ASE AR 64 2019 1 05 11 62-67 |
| allfieldsGer |
10.1007/s10384-019-00699-y doi (DE-627)SPR010268499 (SPR)s10384-019-00699-y-e DE-627 ger DE-627 rakwb eng 610 ASE 610 ASE 44.95 bkl Yoneyama, Ryo verfasserin aut Predictability of intraocular lens power calculation in eyes after phototherapeutic keratectomy 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Purpose To compare the predictability of intraocular lens (IOL) power calculation using several corneal power measurements in eyes that underwent phototherapeutic keratectomy (PTK). Study design Retrospective case series. Methods We reviewed the clinical charts of 42 eyes of 25 consecutive patients who underwent cataract surgery after PTK for granular corneal dystrophy or band keratopathy. IOL power calculations were performed using the SRK/T formula with four corneal power measurements [automated keratometry (AK) measured with a partial coherence interferometer, simulated keratometry (Sim K), true net power (TNP), and total corneal refractive power (TCRP) measured with a rotating Scheimpflug camera]; we determined the prediction error, absolute error, and percentage within ± 1.0 D of the targeted refraction, 1 month postoperatively. Results The prediction error in the TCRP group was significantly better than those in the AK, Sim K, and TNP groups. The absolute error was also significantly better than those in the AK and Sim K groups, but not significantly different from that in the TNP group. The percentages of within ± 0.5 and 1.0 D in the TCRP group were significantly higher than those in the AK and Sim K groups, but not significantly different from that in the TNP group. Conclusions The TCRP provides the highest predictability of IOL power calculation in post-PTK eyes. This result suggests that the use of the TCRP, rather than of conventional anterior keratometry, may be clinically helpful for improving the refractive accuracy of post-PTK eyes. PTK (dpeaa)DE-He213 Predictability (dpeaa)DE-He213 Prediction error (dpeaa)DE-He213 Absolute error (dpeaa)DE-He213 Cataract surgery (dpeaa)DE-He213 Kamiya, Kazutaka verfasserin aut Iijima, Kei verfasserin aut Takahashi, Masahide verfasserin aut Shoji, Nobuyuki verfasserin aut Enthalten in Japanese journal of ophthalmology Tokyo : Springer, 1957 64(2019), 1 vom: 05. Nov., Seite 62-67 (DE-627)320482405 (DE-600)2009957-5 1613-2246 nnns volume:64 year:2019 number:1 day:05 month:11 pages:62-67 https://dx.doi.org/10.1007/s10384-019-00699-y lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_267 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_711 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 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_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 44.95 ASE AR 64 2019 1 05 11 62-67 |
| allfieldsSound |
10.1007/s10384-019-00699-y doi (DE-627)SPR010268499 (SPR)s10384-019-00699-y-e DE-627 ger DE-627 rakwb eng 610 ASE 610 ASE 44.95 bkl Yoneyama, Ryo verfasserin aut Predictability of intraocular lens power calculation in eyes after phototherapeutic keratectomy 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Purpose To compare the predictability of intraocular lens (IOL) power calculation using several corneal power measurements in eyes that underwent phototherapeutic keratectomy (PTK). Study design Retrospective case series. Methods We reviewed the clinical charts of 42 eyes of 25 consecutive patients who underwent cataract surgery after PTK for granular corneal dystrophy or band keratopathy. IOL power calculations were performed using the SRK/T formula with four corneal power measurements [automated keratometry (AK) measured with a partial coherence interferometer, simulated keratometry (Sim K), true net power (TNP), and total corneal refractive power (TCRP) measured with a rotating Scheimpflug camera]; we determined the prediction error, absolute error, and percentage within ± 1.0 D of the targeted refraction, 1 month postoperatively. Results The prediction error in the TCRP group was significantly better than those in the AK, Sim K, and TNP groups. The absolute error was also significantly better than those in the AK and Sim K groups, but not significantly different from that in the TNP group. The percentages of within ± 0.5 and 1.0 D in the TCRP group were significantly higher than those in the AK and Sim K groups, but not significantly different from that in the TNP group. Conclusions The TCRP provides the highest predictability of IOL power calculation in post-PTK eyes. This result suggests that the use of the TCRP, rather than of conventional anterior keratometry, may be clinically helpful for improving the refractive accuracy of post-PTK eyes. PTK (dpeaa)DE-He213 Predictability (dpeaa)DE-He213 Prediction error (dpeaa)DE-He213 Absolute error (dpeaa)DE-He213 Cataract surgery (dpeaa)DE-He213 Kamiya, Kazutaka verfasserin aut Iijima, Kei verfasserin aut Takahashi, Masahide verfasserin aut Shoji, Nobuyuki verfasserin aut Enthalten in Japanese journal of ophthalmology Tokyo : Springer, 1957 64(2019), 1 vom: 05. Nov., Seite 62-67 (DE-627)320482405 (DE-600)2009957-5 1613-2246 nnns volume:64 year:2019 number:1 day:05 month:11 pages:62-67 https://dx.doi.org/10.1007/s10384-019-00699-y lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_267 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_711 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 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_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 44.95 ASE AR 64 2019 1 05 11 62-67 |
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Enthalten in Japanese journal of ophthalmology 64(2019), 1 vom: 05. Nov., Seite 62-67 volume:64 year:2019 number:1 day:05 month:11 pages:62-67 |
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Enthalten in Japanese journal of ophthalmology 64(2019), 1 vom: 05. Nov., Seite 62-67 volume:64 year:2019 number:1 day:05 month:11 pages:62-67 |
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PTK Predictability Prediction error Absolute error Cataract surgery |
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Japanese journal of ophthalmology |
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Yoneyama, Ryo @@aut@@ Kamiya, Kazutaka @@aut@@ Iijima, Kei @@aut@@ Takahashi, Masahide @@aut@@ Shoji, Nobuyuki @@aut@@ |
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Study design Retrospective case series. Methods We reviewed the clinical charts of 42 eyes of 25 consecutive patients who underwent cataract surgery after PTK for granular corneal dystrophy or band keratopathy. IOL power calculations were performed using the SRK/T formula with four corneal power measurements [automated keratometry (AK) measured with a partial coherence interferometer, simulated keratometry (Sim K), true net power (TNP), and total corneal refractive power (TCRP) measured with a rotating Scheimpflug camera]; we determined the prediction error, absolute error, and percentage within ± 1.0 D of the targeted refraction, 1 month postoperatively. Results The prediction error in the TCRP group was significantly better than those in the AK, Sim K, and TNP groups. The absolute error was also significantly better than those in the AK and Sim K groups, but not significantly different from that in the TNP group. The percentages of within ± 0.5 and 1.0 D in the TCRP group were significantly higher than those in the AK and Sim K groups, but not significantly different from that in the TNP group. Conclusions The TCRP provides the highest predictability of IOL power calculation in post-PTK eyes. 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Yoneyama, Ryo |
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Yoneyama, Ryo ddc 610 bkl 44.95 misc PTK misc Predictability misc Prediction error misc Absolute error misc Cataract surgery Predictability of intraocular lens power calculation in eyes after phototherapeutic keratectomy |
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610 ASE 44.95 bkl Predictability of intraocular lens power calculation in eyes after phototherapeutic keratectomy PTK (dpeaa)DE-He213 Predictability (dpeaa)DE-He213 Prediction error (dpeaa)DE-He213 Absolute error (dpeaa)DE-He213 Cataract surgery (dpeaa)DE-He213 |
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ddc 610 bkl 44.95 misc PTK misc Predictability misc Prediction error misc Absolute error misc Cataract surgery |
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ddc 610 bkl 44.95 misc PTK misc Predictability misc Prediction error misc Absolute error misc Cataract surgery |
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Predictability of intraocular lens power calculation in eyes after phototherapeutic keratectomy |
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Predictability of intraocular lens power calculation in eyes after phototherapeutic keratectomy |
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Yoneyama, Ryo |
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Japanese journal of ophthalmology |
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Yoneyama, Ryo Kamiya, Kazutaka Iijima, Kei Takahashi, Masahide Shoji, Nobuyuki |
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predictability of intraocular lens power calculation in eyes after phototherapeutic keratectomy |
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Predictability of intraocular lens power calculation in eyes after phototherapeutic keratectomy |
| abstract |
Purpose To compare the predictability of intraocular lens (IOL) power calculation using several corneal power measurements in eyes that underwent phototherapeutic keratectomy (PTK). Study design Retrospective case series. Methods We reviewed the clinical charts of 42 eyes of 25 consecutive patients who underwent cataract surgery after PTK for granular corneal dystrophy or band keratopathy. IOL power calculations were performed using the SRK/T formula with four corneal power measurements [automated keratometry (AK) measured with a partial coherence interferometer, simulated keratometry (Sim K), true net power (TNP), and total corneal refractive power (TCRP) measured with a rotating Scheimpflug camera]; we determined the prediction error, absolute error, and percentage within ± 1.0 D of the targeted refraction, 1 month postoperatively. Results The prediction error in the TCRP group was significantly better than those in the AK, Sim K, and TNP groups. The absolute error was also significantly better than those in the AK and Sim K groups, but not significantly different from that in the TNP group. The percentages of within ± 0.5 and 1.0 D in the TCRP group were significantly higher than those in the AK and Sim K groups, but not significantly different from that in the TNP group. Conclusions The TCRP provides the highest predictability of IOL power calculation in post-PTK eyes. This result suggests that the use of the TCRP, rather than of conventional anterior keratometry, may be clinically helpful for improving the refractive accuracy of post-PTK eyes. |
| abstractGer |
Purpose To compare the predictability of intraocular lens (IOL) power calculation using several corneal power measurements in eyes that underwent phototherapeutic keratectomy (PTK). Study design Retrospective case series. Methods We reviewed the clinical charts of 42 eyes of 25 consecutive patients who underwent cataract surgery after PTK for granular corneal dystrophy or band keratopathy. IOL power calculations were performed using the SRK/T formula with four corneal power measurements [automated keratometry (AK) measured with a partial coherence interferometer, simulated keratometry (Sim K), true net power (TNP), and total corneal refractive power (TCRP) measured with a rotating Scheimpflug camera]; we determined the prediction error, absolute error, and percentage within ± 1.0 D of the targeted refraction, 1 month postoperatively. Results The prediction error in the TCRP group was significantly better than those in the AK, Sim K, and TNP groups. The absolute error was also significantly better than those in the AK and Sim K groups, but not significantly different from that in the TNP group. The percentages of within ± 0.5 and 1.0 D in the TCRP group were significantly higher than those in the AK and Sim K groups, but not significantly different from that in the TNP group. Conclusions The TCRP provides the highest predictability of IOL power calculation in post-PTK eyes. This result suggests that the use of the TCRP, rather than of conventional anterior keratometry, may be clinically helpful for improving the refractive accuracy of post-PTK eyes. |
| abstract_unstemmed |
Purpose To compare the predictability of intraocular lens (IOL) power calculation using several corneal power measurements in eyes that underwent phototherapeutic keratectomy (PTK). Study design Retrospective case series. Methods We reviewed the clinical charts of 42 eyes of 25 consecutive patients who underwent cataract surgery after PTK for granular corneal dystrophy or band keratopathy. IOL power calculations were performed using the SRK/T formula with four corneal power measurements [automated keratometry (AK) measured with a partial coherence interferometer, simulated keratometry (Sim K), true net power (TNP), and total corneal refractive power (TCRP) measured with a rotating Scheimpflug camera]; we determined the prediction error, absolute error, and percentage within ± 1.0 D of the targeted refraction, 1 month postoperatively. Results The prediction error in the TCRP group was significantly better than those in the AK, Sim K, and TNP groups. The absolute error was also significantly better than those in the AK and Sim K groups, but not significantly different from that in the TNP group. The percentages of within ± 0.5 and 1.0 D in the TCRP group were significantly higher than those in the AK and Sim K groups, but not significantly different from that in the TNP group. Conclusions The TCRP provides the highest predictability of IOL power calculation in post-PTK eyes. This result suggests that the use of the TCRP, rather than of conventional anterior keratometry, may be clinically helpful for improving the refractive accuracy of post-PTK eyes. |
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| container_issue |
1 |
| title_short |
Predictability of intraocular lens power calculation in eyes after phototherapeutic keratectomy |
| url |
https://dx.doi.org/10.1007/s10384-019-00699-y |
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| author2 |
Kamiya, Kazutaka Iijima, Kei Takahashi, Masahide Shoji, Nobuyuki |
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Kamiya, Kazutaka Iijima, Kei Takahashi, Masahide Shoji, Nobuyuki |
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| doi_str |
10.1007/s10384-019-00699-y |
| up_date |
2024-07-03T15:03:04.782Z |
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| score |
7.399496 |