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  • Book
    Sagarika Patyal, Monica Gandhi, editors.
    Summary: This book covers interpretation of visual fields by Humphrey and Octopus perimeters and discussion of Humphrey visual fields in a variety of ocular disorders.It examines dilemmas faced by an ophthalmologist while evaluating visual fields which do not match with the clinical picture. Glaucoma, the commonest condition for visual field investigation is discussed in detail. Logical reasoningfor incorporating perimetry in glaucoma management with a clear understanding of the challenges in its interpretation is delved into. The book progresses to advanced glaucoma and glaucoma progression. It discusses a systematic evaluation of various parts of the visual field so that the reader can make a calculated management plan for their patient. Each chapter attempts to clearly enunciate factors that help in the diagnosis and features which may be confused with other conditions. Fields which help diagnosing early, advanced glaucoma and glaucoma progression with images and methods of ensuring reasonable diagnostic accuracy are included. The book incorporates separate chapters on ocular conditions which also mimic visual field defects of glaucoma with detailed modes of correct diagnosis, diagnostic dilemmas arising from retinal, macular, vascular, visual pathway lesions mimicking visual field defects of glaucoma or while coexisting with glaucoma, supported by algorithms to achieve a quick diagnosis in a busy OPD without missing the clinical findings and by using minimal investigative modalities. This book helps clinicians to prevent over diagnosis or under diagnosis of glaucoma and helps diagnose cases with morbidities causing visual field defects.

    Contents:
    Intro
    Preface
    Contents
    About the Editors
    1: What Is Perimetry and How to Obtain the Best Results?
    References
    2: Incorporating Perimetry in Managing Glaucoma
    2.1 Introduction
    2.2 The Role of Perimetry in the Management of Glaucoma is Multifold
    2.2.1 To Help in Diagnosis of Glaucoma
    2.2.2 Staging the Disease Based on Visual Fields
    2.2.3 Detecting and Monitoring Progression
    2.3 Limitations of Standard Automated Perimetry (SAP)
    2.4 Other Forms of Visual Field Testing
    2.5 Conclusion
    References 3: Interpretation of a Humphrey Single Visual Field Printout
    3.1 Sequence for Interpretation of a Single Field
    3.2 Summary
    References
    4: Challenges in Interpreting Perimetry in Glaucoma
    4.1 Introduction
    4.1.1 Challenge 1: Is This the Printout of My Patient?
    4.1.2 Challenge 2: Why Do I Need the Date of Birth to Be Accurate?
    4.1.3 Challenge 3. What Is the Fixation Loss Telling Me?
    4.1.4 Challenge 4: What Should I Do with a Field with High False Positives?
    4.1.5 Challenge 5: What Is the Interpretation for High False Negative? 4.1.6 Challenge 6: What Can I Pick Up from the Gray Scale?
    4.1.7 Challenge 7: If the Total Deviation Plot Is Similar to the Pattern Deviation Plot. What Does it Mean?
    4.1.8 Challenge 8: What Do the Probability Symbols Tell us?
    4.1.9 Challenge 9: How Much Importance Do I Attach to the GHT?
    4.1.10 Challenge 10: How Should the VFI Be Assessed?
    4.2 Practical Tips Which Can Help Standardize the Process
    4.3 Factors Affecting the Variability of the Visual Field Tests [11]
    4.4 Summary
    References
    5: Evaluating Progression on Perimetry
    5.1 Progression 5.2 Patterns of Progression
    5.3 Criteria for Progression Are as Follows
    5.4 Importance of Finding Out Progression
    5.5 The Guided Progression Analysis (GPA) Software on HFA
    5.5.1 Event Analysis
    5.5.2 Trend Analysis
    5.6 Rate of Progression
    5.7 The Guided Progression Analysis (GPA
    Carl Zeiss Meditec, Inc., Dublin, CA)
    5.8 Reading the GPA Printout
    5.8.1 First Part
    5.8.1.1 Baseline Tests (Fig. 5.1)
    5.8.2 Second Part: I
    5.8.2.1 Progression Analysis (Fig. 5.2)
    5.8.3 Second Part: II
    5.8.3.1 Progression Bands (Fig. 5.3)
    5.8.4 Third Part 5.8.4.1 Recent Visual Field Report with Progression Analysis (Fig. 5.4)
    5.9 Progression Artifacts
    5.10 Case 1
    5.10.1 OD ONH Color Photo
    5.10.2 OS ONH Color Photo
    5.10.3 OD GPA
    5.10.4 OS GPA
    5.11 Case 2
    5.11.1 OS ONH Color Photo
    5.11.2 OS ONH Red-Free Photo
    5.11.3 OS OCT
    5.11.4 OS GPA
    5.12 Case 3
    5.12.1 OD ONH Colour Photo
    5.12.2 OD ONH Red-Free Photo
    5.12.3 OD GPA
    5.13 Case 4
    5.13.1 OS ONH Color Photo
    5.13.2 OS ONH Red-Free Photo
    5.13.3 OS GPA
    5.14 Case 5
    5.14.1 OD ONH Colour Photo
    Digital Access Springer 2021