Artificial neural networks: Useful aid in diagnosing acute appendicitis

被引:36
|
作者
Prabhudesai, S. G. [1 ]
Gould, S. [1 ]
Rekhraj, S. [1 ]
Tekkis, P. P. [1 ]
Glazer, G. [2 ]
Ziprin, P. [1 ]
机构
[1] Univ London Imperial Coll Sci Technol & Med, Fac Med, Dept Biosurg & Surg Technol, London W2 1NY, England
[2] St Marys Hosp, Gen Surg Unit, London W2 1NY, England
关键词
D O I
10.1007/s00268-007-9298-6
中图分类号
R61 [外科手术学];
学科分类号
摘要
Background The purpose of the study was to assess the role of artificial neural networks (ANNs) in the diagnosis of appendicitis in patients presenting with acute right iliac fossa (RIF) pain and comparing its performance with the assessment made by experienced clinicians and the Alvarado score. Methods After training and testing an ANN, data from 60 patients presenting with suspected appendicitis over a 6-month period to a teaching hospital was collected prospectively. Accuracy of diagnosing appendicitis by the clinician, the Alvarado score, and the ANN was compared. Results The sensitivity, specificity, and positive and negative predictive values of the ANN were 100%, 97.2%, 96.0%, and 100% respectively. The ability of the ANN to exclude accurately the diagnosis of appendicitis in patients without true appendicitis was statistically significant compared to the clinical performance (p = 0.031) and Alvarado score of >= 6 (p = 0.004) and nearly significant compared to the Alvarado score of >= 7 (p = 0.063). Conclusions ANNs can be an effective tool for accurately diagnosing appendicitis and may reduce unnecessary appendectomies.
引用
收藏
页码:305 / 309
页数:5
相关论文
共 50 条
  • [1] Artificial Neural Networks: Useful Aid in Diagnosing Acute Appendicitis
    Roland E. Andersson
    World Journal of Surgery, 2008, 32 : 310 - 311
  • [2] Artificial Neural Networks: Useful Aid in Diagnosing Acute Appendicitis
    S. G. Prabhudesai
    S. Gould
    S. Rekhraj
    P. P. Tekkis
    G. Glazer
    P. Ziprin
    World Journal of Surgery, 2008, 32 : 305 - 309
  • [3] Application of Artificial Neural Networks for Diagnosing Acute Appendicitis
    Park, Sung Yun
    Lee, Sangjoon
    Jeong, Jae Hoon
    Kim, Sung Min
    APPLIED SCIENCE AND PRECISION ENGINEERING INNOVATION, PTS 1 AND 2, 2014, 479-480 : 445 - 450
  • [4] Neurofuzzy is useful aid in diagnosing acute appendicitis
    Tez, Mesut
    Tez, Selda
    Gocmen, Erdal
    WORLD JOURNAL OF SURGERY, 2008, 32 (09) : 2126 - 2126
  • [5] Neurofuzzy is Useful Aid in Diagnosing Acute Appendicitis
    Mesut Tez
    Selda Tez
    Erdal Göçmen
    World Journal of Surgery, 2008, 32 : 2126 - 2126
  • [6] The Optimization Variables of Input Data of Artificial Neural Networks for Diagnosing Acute Appendicitis
    Park, Sung Yun
    Kim, Sung Min
    APPLIED MATHEMATICS & INFORMATION SCIENCES, 2014, 8 (01): : 339 - 343
  • [7] Neural networks as an aid in the diagnosis of acute appendicitis
    Ziprin, P
    Gould, SWT
    Glazer, G
    BRITISH JOURNAL OF SURGERY, 1998, 85 : 37 - 38
  • [8] Artificial neural networks in the diagnosis of acute appendicitis
    Yoldas, Omer
    Tez, Mesut
    Karaca, Turgut
    AMERICAN JOURNAL OF EMERGENCY MEDICINE, 2012, 30 (07): : 1245 - 1247
  • [9] Acute appendicitis diagnosis using artificial neural networks
    Park, Sung Yun
    Kim, Sung Min
    TECHNOLOGY AND HEALTH CARE, 2015, 23 : S559 - S565
  • [10] Artificial neural networks in the diagnosis of acute appendicitis: should imaging be a part of it?
    Debnath, Jyotindu
    Chatterjee, Samar
    Sharma, Vivek
    AMERICAN JOURNAL OF EMERGENCY MEDICINE, 2013, 31 (01): : 258 - 259