ノイズフィールドテストの早期緑内障性視野異常自覚検出精度

Precision of noise-field test in subjective detection of early glaucomatous visual field defects

　ノイズフィールドテスト（以下，NFT）の視野異常自覚検出精度についてAulhorn分類（Greve　変法）Ⅱ期以下の早期緑内障視野異常眼91例123眼を対象として検討した。NFTの視野異常検出率は0期；60％，Ⅰ期；78.3％，Ⅱ期91.3％であり全体では77.5％であった。NFTの結果と精密閾値検査の結果とを視野異常部位ならびに視野異常の深さ別に比較した結果，暗点が固視点に近いほど，また感度低下が大きいほどNFTでの検出率が向上した。感度低下が10dB以下の浅い暗点でも視野異常部位が固視点から20度以内の場合の検出率は60％以上であり，NFTは早期緑内障性視野異常自覚検出法として有用であると考えられた。

The precision of the Noise-Field Test (NFT) in subjective detection of visual field defects was studied in 123 eyes of 91 cases with early glaucoma. Detection rates of visual field defects of stages 0, Ⅰand Ⅱ according to the Aulhorn's classification (Greve's modification) were 60%, 78.3% and 91.3%, respectively. A comparison between the results of the NFT and static perimetry (Humphrey) showed that the detection rate increased when the defects were nearer to the fixation point and the depth of the defects was greater. Even when the scotoma had a depth less than 10dB, over 60% were detected subjectively if they existed within the central 20 degrees of the visual field. The NFT can be van effective method for subjective detection of the visual field defects in early glaucoma.