MARCELO HATANAKA

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Lattes
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Unidades Organizacionais
Instituto Central, Hospital das Clínicas, Faculdade de Medicina
LIM/33 - Laboratório de Oftalmologia, Hospital das Clínicas, Faculdade de Medicina

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  • conferenceObject
    Effect of panretinal photocoagulation on confocal laser scanning ophthalmoscopy and stereo photographic parameters of the optic disc topography in diabetic retinopathy patients
    (2018) AZEVEDO, Breno; ARAUJO, Rafael Barbosa de; CIONGOLI, Marina; CUNHA, Leonardo Provetti; PRETI, Rony Carlos; HATANAKA, Marcelo; ZACHARIAS, Leandro C.; MONTEIRO, Mario L. R.
  • article 0 Citação(ões) na Scopus
  • conferenceObject
    Comparison of IOP peak pressure using two different volumes of fluid intake in patients with medically controlled primary open angle glaucoma
    (2018) SUSANNA, Carolina; MORAES, C. Gustavo De; SUSANNA, Bianca Nicolela Nicolela; SUSANNA, Remo; HATANAKA, Marcelo; SUSANNA, Fernanda
  • article 9 Citação(ões) na Scopus
    Comparison of Intraocular Pressure Changes During the Water Drinking Test Between Different Fluid Volumes in Patients With Primary Open-angle Glaucoma
    (2018) SUSANNA, Carolina N.; SUSANNA JR., Remo; HATANAKA, Marcelo; SUSANNA, Bianca N.; SUSANNA, Fernanda N.; MORAES, Carlos G. De
    Purpose: The main objective of this study was to compare the intraocular pressure (IOP) response during the water drinking test (WDT) performed with 800 mL, 1000 mL, and 10 mL/kg of body weight and to test its relationship with body mass index (BMI). Methods: In this prospective, observer-masked, observational study, patients treated with primary open-angle glaucoma were evaluated. In group I, 29 consecutive patients with body weight <= 60 kg underwent an 800 mL fluid challenge followed by a second WDT session with 10 mL/kg of body weight no longer than 4 months apart. Group II included 30 consecutive patients with body weight > 60 kg who underwent a 1000 mL fluid challenge followed by an 800 L test no longer than 4 months apart. IOP was measured before (baseline) and after water ingestion every 15 minutes for 45 minutes. Results: In group I, there was no significant difference in baseline or peak IOP between 800 mL and 10 mL/kg of body weight tests (P = 0.12 and 0.56, respectively). However, 10 mL/kg tended to lead to consistently lower IOP values and a biased response in eyes with higher IOP. In group II, there was also no significant difference in baseline or peak IOP between 800 and 1000mL tests (P = 0.26 and 0.72, respectively). No biased response was observed in this group. There was no significant association between IOP peak and BMI with 800mL (P = 0.18), 10 mL/kg (P = 0.29), or 1000mL (P = 0.34). Conclusions: There was overall good agreement between WDT results with different fluid volumes. The response to the volume loads tested in this study was not influenced by the BMI.
  • article 9 Citação(ões) na Scopus
    Macular and Multifocal PERG and FD-OCT in Preperimetric and Hemifield Loss Glaucoma
    (2018) KREUZ, Andre C.; MORAES, Carlos G. de; HATANAKA, Marcelo; OYAMADA, Maria K.; MONTEIRO, Mario L. R.
    Purpose: To evaluate the ability of macular and multifocal (mf) pattern electroretinogram (PERG) to differentiate preperimetric glaucoma (PG) and glaucoma with hemifield loss (GHL) from controls, to compare the discrimination ability of PERG and fourier-domain optical coherence tomography (FD-OCT), and to assess the relationship between measurements. Patients and Methods: Standard automated perimetry, steady-state and transient PERG and mfPERG measurements were obtained from PG (n=14, 24 eyes), GHL (n=5, 7 eyes), and controls (n=19, 22 eyes). Circumpapillary retinal nerve fiber layer (cpRNFL), fullthickness macula, and segmented macular layer thicknesses on FDOCT were investigated. Measurements were compared using mixed effects linear models. The relationships between measurements and the diagnostic performance of each technology were assessed. Results: Compared with controls, average P50 peak time transient PERG responses were reduced in PG and GHL, whereas average latency and amplitude steady-state and mfPERG responses were abnormal only in GHL. cpRNFL and macular thickness measurements in PG and GHL differed significantly from controls. A significant relationship was found between PERG and most FDOCT or SAP parameters. Partial least squares discriminant analysis revealed that OCT parameters, along with mfPERG and transient PERG parameters had similar ability to discriminate PG and GHL from healthy controls. Conclusions: PERG and OCT parameters may be abnormal, with significant correlations between measurements, in PG eyes. Both technologies may be useful for detection of early glaucoma.