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The Borderline-Size Appendix: Grayscale, Color Doppler, and Spectral Doppler Findings That Improve Specificity for the Sonographic Diagnosis of Acute Appendicitis.
Madhuripan, Nikhil; Jawahar, Anugayathri; Jeffrey, R Brooke; Olcott, Eric W.
Afiliação
  • Madhuripan N; Department of Radiology, Stanford University School of Medicine, Stanford.
  • Jawahar A; Department of Radiology, Stanford University School of Medicine, Stanford.
  • Jeffrey RB; Department of Radiology, Stanford University School of Medicine, Stanford.
Ultrasound Q ; 36(4): 314-320, 2020 Dec.
Article em En | MEDLINE | ID: mdl-33136933
Diagnostic criteria for acute appendicitis using graded compression sonography have been well established based on the maximum outer diameter (MOD) of the appendix, with MOD values of <6 mm nearly always indicating normal appendices and MOD values of >8 mm nearly always indicating appendicitis. However, the "borderline-size" appendix, meaning one whose MOD lies between these ranges (ie, an appendix with MOD of 6-8 mm), presents a diagnostic dilemma because appendices in this size range are neither clearly normal nor abnormal when diagnosis is based on the MOD alone; accordingly, such borderline MOD values are diagnostically equivocal, and sonographic diagnosis must rely on sonographic findings other than the MOD. The goal of this review was to examine the additional sonographic findings that can add specificity and help enable an accurate diagnosis to be made in patients with borderline-size appendices.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Apendicite / Ultrassonografia Tipo de estudo: Diagnostic_studies Limite: Humans Idioma: En Revista: Ultrasound Q Assunto da revista: DIAGNOSTICO POR IMAGEM Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Apendicite / Ultrassonografia Tipo de estudo: Diagnostic_studies Limite: Humans Idioma: En Revista: Ultrasound Q Assunto da revista: DIAGNOSTICO POR IMAGEM Ano de publicação: 2020 Tipo de documento: Article