Literature DB >> 19660814

Sensitivity and specificity of the Heidelberg Retina Tomograph II Version 3.0 in a population-based study: the Tajimi Study.

Hitomi Saito1, Tae Tsutsumi, Makoto Araie, Atsuo Tomidokoro, Aiko Iwase.   

Abstract

PURPOSE: To evaluate the sensitivity and specificity of the 3 glaucoma classification programs, the FS Mikelberg discriminant function (FSM), Moorfields Regression Analysis (MRA), and Glaucoma Probability Score (GPS) of version 3.0 of the Heidelberg Retina Tomograph (HRT) II (Heidelberg Engineering, Dossenheim, Germany), in a population-based setting for the first time.
DESIGN: Population-based cross-sectional study. PARTICIPANTS: One randomly chosen eye of each subject without glaucoma, subject with glaucoma, and subject with suspected glaucoma with reliable HRT II measurements from the Tajimi study (2297 eyes of 2297 subjects) were included for analysis.
METHODS: Glaucoma was diagnosed by the optic disc and visual field findings according to the criteria of the International Society of Geographical and Epidemiological Ophthalmology. The sensitivity and specificity of FSM, MRA, and GPS were calculated. Characteristics of erroneously diagnosed glaucoma (false-negative) eyes and factors that influenced specificity with the 3 programs were investigated. MAIN OUTCOME MEASURES: Sensitivity and specificity of FSM, MRA, and GPS.
RESULTS: Sensitivity and specificity varied significantly among the 3 programs: 59.1%, 39.4%, and 65.2% (P = 0.02 approximately 0.003, chi-square test), and 86.7%, 96.1%, and 83.0% (P<0.0001) with FMS, MRA, and GPS, respectively. MRA gave the lowest sensitivity but the highest specificity. Positive predictive values for these programs ranged between 0.10 and 0.23, whereas negative predictive values ranged between 0.98 and 0.99. False-negative eyes had significantly better visual field indexes (P<0.01 approximately 0.002, Mann-Whitney U test) and smaller cup and larger rim parameters compared with true-positive glaucoma eyes. Older age and hyperopia were negatively correlated with the specificity of GPS but not with that of FMS and MRA. Larger disc area was significantly associated with decreased specificity of all programs.
CONCLUSIONS: In a population-based setting, the sensitivity of the HRT II was unsatisfactory with any of the classification programs, whereas specificity was satisfactory. A significant percentage of the glaucoma discs were labeled as normal, and eyes in the earlier stage of the disease appear to be more likely to be misdiagnosed as normal. Factors such as age, refraction, and disc area had an influence on specificity, but the degree of its influence was different for each classification program.

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Mesh:

Year:  2009        PMID: 19660814     DOI: 10.1016/j.ophtha.2009.03.048

Source DB:  PubMed          Journal:  Ophthalmology        ISSN: 0161-6420            Impact factor:   12.079


  8 in total

1.  Population-based evaluation of retinal nerve fiber layer, retinal ganglion cell layer, and inner plexiform layer as a diagnostic tool for glaucoma.

Authors:  Henriët Springelkamp; Kyungmoo Lee; Roger C W Wolfs; Gabriëlle H S Buitendijk; Wishal D Ramdas; Albert Hofman; Johannes R Vingerling; Caroline C W Klaver; Michael D Abràmoff; Nomdo M Jansonius
Journal:  Invest Ophthalmol Vis Sci       Date:  2014-11-20       Impact factor: 4.799

2.  Optic disc area frequency distribution in a large sample of retinographic images.

Authors:  Marta Gonzalez-Hernandez; Daniel Gonzalez-Hernandez; Daniel Perez-Barbudo; Manuel Gonzalez de la Rosa
Journal:  BMJ Open Ophthalmol       Date:  2022-06

3.  Detecting abnormality in optic nerve head images using a feature extraction analysis.

Authors:  Haogang Zhu; Ali Poostchi; Stephen A Vernon; David P Crabb
Journal:  Biomed Opt Express       Date:  2014-06-11       Impact factor: 3.732

4.  Optic disc classification by the Heidelberg Retina Tomograph and by physicians with varying experience of glaucoma.

Authors:  S Andersson; A Heijl; B Bengtsson
Journal:  Eye (Lond)       Date:  2011-08-12       Impact factor: 3.775

5.  HRT for the Diagnosis and Detection of Glaucoma Progression.

Authors:  Jessica S Maslin; Kaweh Mansouri; Syril K Dorairaj
Journal:  Open Ophthalmol J       Date:  2015-05-15

6.  Morphological features and important parameters of large optic discs for diagnosing glaucoma.

Authors:  Satoshi Okimoto; Keiko Yamashita; Tetsuo Shibata; Yoshiaki Kiuchi
Journal:  PLoS One       Date:  2015-03-23       Impact factor: 3.240

7.  The Evonik-Mainz Eye Care-Study (EMECS): Development of an Expert System for Glaucoma Risk Detection in a Working Population.

Authors:  Jochen Wahl; Lorenz Barleon; Peter Morfeld; Andrea Lichtmeß; Sibylle Haas-Brähler; Norbert Pfeiffer
Journal:  PLoS One       Date:  2016-08-01       Impact factor: 3.240

8.  Comparison of Ethnic-specific Databases in Heidelberg Retina Tomography-3 to Discriminate Between Early Glaucoma and Normal Chinese Eyes.

Authors:  Xiu Ling Tan; Sae Cheong Yap; Xiang Li; Leonard W Yip
Journal:  Open Ophthalmol J       Date:  2017-02-28
  8 in total

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