Fuzzy Logic in neurosurgery: predicting poor outcomes after lumbar disk surgery in 501 consecutive patients

Surgical Neurology

Volumn 72, Issue 6, 2009, Pages 565-572

  Shamim, Muhammad Shahzad ^a   Enam, Syed Ather ^a   Qidwai, Uvais ^b  

^a AGA KHAN UNIVERSITY   (Pakistan)

^b Qatar University ^*  (Qatar)

Author keywords

Disk herniation; Microdiskectomy; Outcome prediction

Indexed keywords

ADULT; ARTICLE; CONTROLLED STUDY; FEMALE; FOLLOW UP; FUZZY LOGIC; HUMAN; INFORMATION SCIENCE; INTERVERTEBRAL DISKECTOMY; LUMBAR DISK SURGERY; MAJOR CLINICAL STUDY; MALE; NEUROSURGERY; POSTOPERATIVE PERIOD; PREDICTIVE VALIDITY; SENSITIVITY AND SPECIFICITY; SPINE SURGERY; TREATMENT OUTCOME; DECISION SUPPORT SYSTEM; FAILED BACK SURGERY SYNDROME; GLASGOW OUTCOME SCALE; INTERVERTEBRAL DISK HERNIA; LOGIC; LUMBAR VERTEBRA; MATHEMATICAL COMPUTING; MICROSURGERY; MIDDLE AGED; OUTCOME ASSESSMENT; PATIENT SELECTION; POSTOPERATIVE COMPLICATION; PROBABILITY; REPRODUCIBILITY; RETROSPECTIVE STUDY; RISK ASSESSMENT; STATISTICS;

ADULT; DECISION SUPPORT TECHNIQUES; DISKECTOMY; FAILED BACK SURGERY SYNDROME; FEMALE; FUZZY LOGIC; GLASGOW OUTCOME SCALE; HUMANS; INTERVERTEBRAL DISK DISPLACEMENT; LOGIC; LUMBAR VERTEBRAE; MALE; MATHEMATICAL COMPUTING; MICROSURGERY; MIDDLE AGED; OUTCOME ASSESSMENT (HEALTH CARE); PATIENT SELECTION; POSTOPERATIVE COMPLICATIONS; PROBABILITY; REPRODUCIBILITY OF RESULTS; RETROSPECTIVE STUDIES; RISK ASSESSMENT;

EID: 75649084194     PISSN: 00903019     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.surneu.2009.07.012     Document Type: Article

References (64)

1. Andrews D.W., and Lavyne M.H. Retrospective analysis of microsurgical and standard lumbar discectomy. Spine 15 (1990) 329-335
2. Axer H., Jantzen J., Keyserlingk D.G., and Berks G. The application of fuzzy-based methods to central nerve fiber imaging. Artif Intell Med 29 3 (2003) 225-239
3. Barrios C., Ahmed M., Arrotegui J.I., and Björnsson A. Clinical factors predicting outcome after surgery for herniated lumbar disc: an epidemiological multivariate analysis. J Spinal Disord 3 3 (1990) 205-209
4. Barrios C., Ahmed M., Arrotegui J., Bjornsson A., and Gillstrom P. Microsurgical versus standard removal of herniated lumbar disc. A 3-year comparison in 150 cases. Acta Orthop Scand 61 (1990) 399-403
5. Belacel N., and Boulassel M.R. Multicriteria fuzzy classification procedure PROCFTN: methodology and medical application. Fuzzy Sets Syst 141 2 (2004) 203-217
6. Brandt M.E., Bohan T.P., Kramer L.A., and Fletcher J.M. Estimation of CSF, white and gray matter volumes in hydrocephalic children using fuzzy clustering of MR images. Comput Med Imaging Graph 18 1 (1994) 25-34
7. Carragee E.J., Han M.Y., Suen P.W., and Kim D. Clinical outcomes after lumbar discectomy for sciatica: the effects of fragment type and anular competence. J Bone Joint Surg Am 85-A 1 (2003) 102-108
8. Carragee E.J., and Kim D.H.A. Prospective analysis of magnetic resonance imaging findings in patients with sciatica and lumbar disk herniation. Correlation of outcomes with disc fragment and canal morphology. Spine 22 (1997) 1650-1660
9. Chandana A., Islam N., Jabbar A., Zuberi L., and Haque N. Clinical features and outcome of surgery in 30 patients with Acromegaly. J Pak Med Assoc 54 6 (2004) 315-319
10. Davis R.A. Long-term outcome analysis of 984 surgically treated herniated lumbar discs. J Neurosurg 80 (1994) 415-421
11. den Boer J.J., Oostendorp R.A., Beems T., Munneke M., and Evers A.W. Continued disability and pain after lumbar disc surgery: the role of cognitive-behavioral factors. Pain 123 1-2 (2006) 45-52
12. den Boer J.J., Oostendorp R.A., Beems T., Munneke M., Oerlemans M., and Evers A.W. A systematic review of bio-psychosocial risk factors for an unfavourable outcome after lumbar disc surgery. Eur Spine J 15 5 (2006) 527-536
13. Dewing C.B., Provencher M.T., Riffenburgh R.H., Kerr S., and Manos R.E. The outcomes of lumbar microdiscectomy in a young, active population: correlation by herniation type and level. Spine 33 1 (2008) 33-38
14. Dickerson J.A., and Helgason C.M. The characterization of stroke subtype and science of evidence-based medicine using Fuzzy Logic. J Neurovasc Dis 2 4 (1997) 138-144
15. Dvorak J., Gauchat M.H., and Valach L. The outcome of surgery for lumbar disc herniation. A 4-17 years' follow-up with emphasis on somatic aspects. Spine 13 (1988) 1418-1422
16. Eismont F.J., and Currier B. Surgical management of lumbar intervertebral-disc disease. J Bone Joint Surg Am 71 (1989) 1266-1271
17. Ellingson B.M., Ulmer J.L., Prost R.W., and Schmit B.D. Morphology and morphometry in chronic spinal cord injury assessed using diffusion tensor imaging and fuzzy logic. Conf Proc IEEE Eng Med Biol Soc 1 (2006) 1885-1888
18. Grossi E. Medical concepts related to individual risk are better explained with "plausibility" rather than "probability. BMC Cardiovasc Disord 5 (2005) 31
19. Hanai T., and Honda H. Application of knowledge information processing methods to biochemical engineering, biomedical, and bioinformatics fields. Adv Biochem Eng Biotechnol 91 (2004) 51-73
20. Helgason C.M., and Jobe T.H. Causal interactions, fuzzy sets and cerebrovascular "accident": the limits of evidence-based medicine and the advent of complexity-based medicine. Neuroepidemiology 18 2 (1999) 64-74
21. Helgason C.M., Malik D.S., Cheng S.C., Jobe T.H., and Mordeson J.N. Statistical versus fuzzy measures of variable interaction in patients with stroke. Neuroepidemiology 20 2 (2001) 77-84
22. Huang S.J., Shieh J.S., Fu M., and Kao M.C. Fuzzy logic control for intracranial pressure via continuous propofol sedation in a neurosurgical intensive care unit. Med Eng Phys 28 7 (2006) 639-647
23. Jobe T.H., Helgason C.M., and Roitberg B.Z. "Show me the numbers": the application of numbers to medical science. Surg Neurol 56 1 (2001) 3-7
24. Jobe T.H., and Helgason C.M. The fuzzy cube and causal efficacy: representation of concomitant mechanisms in stroke. Neural Networks 11 3 (1998) 549-555
25. Junge A., Fröhlich M., Ahrens S., Hasenbring M., Sandler A., Grob D., and Dvorák J. Predictors of bad and good outcome of lumbar spine surgery. A prospective clinical study with 2 years' follow up. Spine 21 9 (1996) 1056-1064
26. Junge A., Dvorak J., and Ahrens S. Predictors of bad and good outcomes of lumbar disc surgery. A prospective clinical study with recommendations for screening to avoid bad outcomes. Spine 20 4 (1995) 460-468
27. Jönsson B., and Strömqvist B. Significance of a persistent positive straight leg raising test after lumbar disc surgery. J Neurosurg 91 1 Suppl (1999) 50-53
28. Kahanovitz N., Viola K., and McCulloch J. Limited surgical discectomy and microdiscectomy. A clinical comparison. Spine 14 (1989) 79-81
29. Kara B., Tulum Z., and Acar U. Functional results and the risk factors of reoperations after lumbar disc surgery. Eur Spine J 14 1 (2005) 43-48
30. Keller T., Bitterlich N., Hilfenhaus S., Bigl H., Löser T., and Leonhardt P. Tumour markers in the diagnosis of bronchial carcinoma: new options using Fuzzy Logic-based tumour marker profiles. J Cancer Res Clin Oncol 124 10 (1998) 565-574
31. Knop-Jergas B.M., Zucherman J.F., Hsu K.Y., and DeLong B. Anatomic position of a herniated nucleus pulposus predicts the outcome of lumbar discectomy. J Spinal Disord 9 3 (1996) 246-250
32. Kohlboeck G., Greimel K.V., Piotrowski W.P., Leibetseder M., Krombholz-Reindl M., Neuhofer R., Schmid A., and Klinger R. Prognosis of multifactorial outcome in lumbar discectomy: a prospective longitudinal study investigating patients with disc prolapse. Clin J Pain 20 6 (2004) 455-461
33. Kotilainen E., and Valtonen S. Clinical instability of the lumbar spine after microdiscectomy. Acta Neurochir (Wien) 125 (1993) 120-126
34. Lewis P.J., Weir B.K.A., Broad R.W., and Grace M.G. Long term prospective study of lumbosacral discectomy. J Neurosurg 67 (1987) 49-53
35. Licata G. Probabilistic and fuzzy logic in clinical diagnosis. Intern Emerg Med 2 2 (2007) 100-106
36. Lu Y., Jiang T., and Zang Y. Region growing method for the analysis of functional MRI data. Neuro Image 20 1 (2003) 455-465
37. Main C.J., Wood P.L., Hollis S., Spanswick C.C., and Waddell G. The Distress and Risk Assessment Method. A simple patient classification to identify distress and evaluate the risk of poor outcome. Spine 17 1 (1992) 42-52
38. Mannion A.F., Elfering A., Staerkle R., Junge A., Grob D., Dvorak J., Jacobshagen N., Semmer N.K., and Boos N. Predictors of multidimensional outcome after spinal surgery. Eur Spine J 16 6 (2007) 777-786
39. Moonis G., Liu J., Udupa J.K., and Hackney D.B. Estimation of tumor volume with fuzzy-connectedness segmentation of MR images. AJNR Am J Neuroradiol 23 3 (2002) 356-363
40. Nault M.L., Labelle H., Aubin C.E., and Balazinski M. The use of fuzzy logic to select which curves need to be instrumented and fused in adolescent idiopathic scoliosis: a feasibility study. J Spinal Disord Tech 20 8 (2007) 594-603
41. Nygaard O.P., Kloster R., and Solberg T. Duration of leg pain as a predictor of outcome after surgery for lumbar disc herniation: a prospective cohort study with 1-year follow up. J Neurosurg 92 2 Suppl (2000) 131-134
42. Nygaard O.P., Romner B., and Trumpy J.H. Duration of symptoms as a predictor of outcome after lumbar disc surgery. Acta Neurochir (Wien) 128 1-4 (1994) 53-56
43. Papageorgiou E.I., Stylios C.D., and Groumpos P.P. An integrated two-level hierarchical system for decision making in radiation therapy based on fuzzy cognitive maps. IEEE Trans Biomed Eng 50 12 (2003) 1326-1339
44. Pizzi N.J. Bleeding predisposition assessments in tonsillectomy/adenoidectomy patients using fuzzy interquartile encoded neural networks. Artif Intell Med 21 1-3 (2001) 65-90
45. Liu J., Udupa J.K., Odhner D., Hackney D., and Moonis G. A system for brain tumor volume estimation via MR imaging and fuzzy connectedness. Comput Med Imaging Graph 29 1 (2005) 21-34
46. Ramesh A.N., Kambhampati C., Monson J.R., and Drew P.J. Artificial intelligence in medicine. Ann R Coll Surg Engl 86 5 (2004) 334-338
47. Roitberg B. Research news and notes. Surg Neurol 69 5 (2008) 439-440
48. Sakaguchi S., Takifuji K., Arita S., and Yamaue H. Development of an early diagnostic system using fuzzy theory for postoperative infections in patients with gastric cancer. Dig Surg 21 3 (2004) 210-214
49. Schade V., Semmer N., Main C.J., Hora J., and Boos N. The impact of clinical, morphological, psychosocial and work-related factors on the outcome of lumbar discectomy. Pain 80 1-2 (1999) 239-249
50. Schneider J., Bitterlich N., Velcovsky H.G., Morr H., Katz N., and Eigenbrodt E. Fuzzy logic-based tumor-marker profiles improved sensitivity in the diagnosis of lung cancer. Int J Clin Oncol 7 3 (2002) 145-151
51. Schwarzer G., Nagata T., Mattern D., Schmelzeisen R., and Schumacher M. Comparison of fuzzy inference, logistic regression, and classification trees (CART). Prediction of cervical lymph node metastasis in carcinoma of the tongue. Methods Inf Med 42 5 (2003) 572-577
52. Seker H., Odetayo M.O., Petrovic D., Naguib R.N., Bartoli C., Alasio L., Lakshmi M.S., and Sherbet G.V. Assessment of nodal involvement and survival analysis in breast cancer patients using image cytometric data: statistical, neural network and fuzzy approaches. Anticancer Res 22 1A (2002) 433-438
53. Shamim S.M., and Hameed K. Surgically treated rectal prolapse: experience at a teaching hospital. J Pak Med Assoc 55 6 (2005) 247-250
54. Shamim M.S., Bari M.E., Khursheed S.F., Jooma R., and Enam S.A. Pituitary adenomas: demographic differences and surgical outcomes in a South Asian country. Can J Neurol Sci 35 2 (2008) 198-203
55. Shieh J.S., Fu M., Huang S.J., and Kao M.C. Comparison of the applicability of rule-based and self-organizing fuzzy logic controllers for sedation control of intracranial pressure pattern in a neurosurgical intensive care unit. IEEE Trans Biomed Eng 53 8 (2006) 1700-1705
56. Solberg T.K., Nygaard O.P., Sjaavik K., Hofoss D., and Ingebrigtsen T. The risk of "getting worse" after lumbar microdiscectomy. Eur Spine J 14 1 (2005) 49-54
57. Spengler D.M., Ouellette E.A., Battie M., and Zeh J. Elective discectomy for herniations of a lumbar disc. Additional experience with an objective method. J Bone Joint Surg Am 72 (1990) 230-237
58. Sproule B.A., Naranjo C.A., and Türksen I.B. Fuzzy pharmacology: theory and applications. Trends Pharmacol Sci 23 9 (2002) 412-417
59. Torres A., and Nieto J.J. Fuzzy Logic in medicine and bioinformatics. J Biomed Biotechnol 2006 2 (2006) 1-7
60. Trief P.M., Grant W., and Fredrickson B. A prospective study of psychological predictors of lumbar surgery outcome. Spine 25 20 (2000) 2616-2621
61. Schofferman J., Reynolds J., Herzog R., Covington E., Dreyfuss P., and O'Neill C. Failed back surgery: etiology and diagnostic evaluation. Spine J 3 5 (2003) 400-403
62. Villéger A., Ouchchane L., Lemaire J.J., and Boire J.Y. Assistance to planning in deep brain stimulation: data fusion method for locating anatomical targets in MRI. Conf Proc IEEE Eng Med Biol Soc 1 (2006) 144-147
63. Weber H. Lumbar disc herniation. A controlled, prospective study with ten years of observation. Spine 8 (1983) 131-140
64. Zadeh L. Fuzzy sets. Inf Control 8 (1965) 338-353