Prediction of intraoperative complexity from preoperative patient data for laparoscopic cholecystectomy

Artificial Intelligence in Medicine

Volumn 52, Issue 3, 2011, Pages 169-176

  Bouarfa, Loubna ^a   Schneider, Armin ^b   Feussner, Hubertus ^b   Navab, Nassir ^b   Lemke, Heinz U ^c   Jonker, Pieter P ^a   Dankelman, Jenny ^a  

^a DELFT UNIVERSITY OF TECHNOLOGY   (Netherlands)

^b TECHNICAL UNIVERSITY OF MUNICH   (Germany)

^c UNIVERSITY OF LEIPZIG   (Germany)

Author keywords

Binary classification; Feature selection; Intraoperative complexity; Preoperative data; Surgical planning and laparoscopic cholecystectomy

Indexed keywords

AREA UNDER THE CURVES; BINARY CLASSIFICATION; BODY MASS INDEX; CLASS 1; CLASSIFICATION ERROR RATE; CLASSIFICATION ERRORS; CLASSIFICATION RESULTS; CLASSIFICATION TASKS; INTRA-OPERATIVE; LAPAROSCOPIC CHOLECYSTECTOMY; LINEAR DISCRIMINANT CLASSIFIER; MUNICH , GERMANY; PATIENT DATA; PATIENT PARAMETERS; PREDICTION PROBLEM; PREOPERATIVE DATA; QUADRATIC DISCRIMINANT CLASSIFIER; SURGICAL PLANNING; SVM CLASSIFIERS; WALL THICKENING;

FEATURE EXTRACTION; FORECASTING; HOSPITAL DATA PROCESSING; PATHOLOGY; SURGERY;

CLASSIFICATION (OF INFORMATION);

ACCURACY; AGE; ARTICLE; BODY MASS; CHOLECYSTECTOMY; CHOLECYSTITIS; CLASSIFIER; CLINICAL CLASSIFICATION; FEMALE; GENDER; GERMANY; HUMAN; INTRAOPERATIVE PERIOD; JOB EXPERIENCE; LINEAR DISCRIMINANT CLASSIFIER; MAJOR CLINICAL STUDY; MALE; MEDICAL HISTORY; PATIENT INFORMATION; PREDICTIVE VALUE; PREOPERATIVE EVALUATION; PRIORITY JOURNAL; QUADRATIC DISCRIMINANT CLASSIFIER; SUPPORT VECTOR MACHINE; SURGEON; SURGICAL PATIENT;

BODY MASS INDEX; CHOLECYSTECTOMY, LAPAROSCOPIC; FEMALE; HUMANS; MALE;

EID: 79960049839     PISSN: 09333657     EISSN: 18732860     Source Type: Journal    
DOI: 10.1016/j.artmed.2011.04.012     Document Type: Article

References (21)

1. Maintz J., Viergever M.A. A survey of medical image registration. Medical Image Analysis 1998, 2(1):1-36. http://dx.doi.org/10.1016/S1361-8415(01)80026-8.
2. Lin R.H. An intelligent model for liver disease diagnosis. Artificial Intelligence in Medicine 2009, 47(1):53-62. http://dx.doi.org/10.1016/j.artmed.2009.05.005.
3. Lee M.C., Boroczky L., Sungur-Stasik K., Cann A.D., Borczuk A.C., Kawut S.M., et al. Computer-aided diagnosis of pulmonary nodules using a two-step approach for feature selection and classifier ensemble construction. Artificial Intelligence in Medicine 2010, 50(1):43-53. [Knowledge Discovery and Computer-Based Decision Support in Biomedicine]. http://dx.doi.org/10.1016/j.artmed.2010.04.011.
4. Dimick J.B., Chen S.L., Taheri P.A., Henderson W.G., Khuri S.F., Campbell D.A., et al. Hospital costs associated with surgical complications: a report from the private-sector national surgical quality improvement program. Journal of the American College of Surgeons 2004, 199(4):531-537. http://dx.doi.org/10.1016/j.jamcollsurg.2004.05.276.
5. Davenport D., Henderson W., Khuri S., Mentzer R. Preoperative risk factors and surgical complexity are more predictive of costs than postoperative complications: a case study using the National Surgical Quality Improvement Program (NSQIP) database. Annals of Surgery 2005, 242(4):263-471. http://dx.doi.org/10.1097/01.sla.0000183348.15117.ab.
6. Dindo D., Demartines N., Clavien P. Classification of surgical complications: a new proposal with evaluation in a cohort of 6336 patients and results of a survey. Annals of Surgery 2004, 240(2):205. http://dx.doi.org/10.1097/01.sla.0000133083.54934.ae.
7. Jenkins E., Yom V., Melman L., Pierce R., Schuessler R., Frisella M., et al. Clinical predictors of operative complexity in laparoscopic ventral hernia repair: a prospective study. Surgical Endoscopy 2010, 24:1872-1877. http://dx.doi.org/10.1007/s00464-009-0863-y.
8. Sodergren M., Orihuela-Espina F., Clark J., Teare J., Yang G., Darzi A. Evaluation of orientation strategies in laparoscopic cholecystectomy. Annals of Surgery 2010, 252(6):1027-1036. http://dx.doi.org/10.1097/SLA.0b013e3181e49683.
9. Dexter F., Davis M., Halbeis C.E., Marjamaa R., Marty J., McIntosh C., et al. Mean operating room times differ by 50% among hospitals in different countries for laparoscopic cholecystectomy and lung lobectomy. Journal of Anesthesia 2006, 20:319-322. http://dx.doi.org/10.1007/s00540-006-0419-4.
10. van der Heijden F., Duin R., De Ridder D., Tax D. Classification parameter estimation and state estimation 2004, Wiley Online Library. http://dx.doi.org/10.1002/0470090154.fmatter.
11. Tax D., Duin R. Learning curves for the analysis of multiple instance classifiers. Lecture notes in computer science 2008, vol. 5342. Springer, p. 724-733. http://dx.doi.org/10.1007/978-3-540-89689-0_76.
12. Duin R, Juszczak P, Paclik P, Pekalska E, De Ridder D, Tax D, et al. A matlab toolbox for pattern recognition. Delft University of Technology, The Netherlands. Prtools 4 ed.; 2007: p. 1-61 [Toolbox manual available at:]. http://www.prtools.org/files/PRTools4.1.pdf.
13. Cox M., Wilson T., Luck A., Jeans P., Padbury R., Toouli J. Laparoscopic cholecystectomy for acute inflammation of the gallbladder. Annals of Surgery 1993, 218(5):630-634. http://www.ncbi.nlm.nih.gov/pmc/articles/PMC1243033/.
14. Georgiades C., Mavromatis T., Kourlaba G., Kapiris S., Bairamides E., Spyrou A., et al. Is inflammation a significant predictor of bile duct injury during laparoscopic cholecystectomy?. Surgical Endoscopy 2008, 22:1959-1964. http://dx.doi.org/10.1007/s00464-008-9943-7.
15. Dinkel H.P., Kraus S., Heimbucher J., Moll R., Knupffer J., Gassel H.J., et al. Sonography for selecting candidates for laparoscopic cholecystectomy: a prospective study. American Journal of Roentgenology 2000, 174(5):1433-1439. http://www.ajronline.org/cgi/content/abstract/174/5/1433.
16. Gabriel R., Kumar S., Shrestha A. Evaluation of predictive factors for conversion of laparoscopic cholecystectomy. Kathmandu University Medical Journal 2009, 7(1):26-30. http://dx.doi.org/10.3126/kumj.v7i1.1761.
17. Zisman A., Gold-Deutch R., Zisman E., Negri M., Halpern Z., Lin G., et al. Is male gender a risk factor for conversion of laparoscopic into open cholecystectomy?. Surgical Endoscopy 1996, 10:892-894. http://dx.doi.org/10.1007/BF00188477.
18. McKernan J., Champion J. Access techniques: Veress needle-initial blind trocar insertion versus open laparoscopy with the Hasson trocar. Endoscopic Surgery and Allied Technologies 1995, 3(1):35-38. http://www.ncbi.nlm.nih.gov/pubmed/7757437/.
19. Lewis M.C., Gerenstein R.I., Chidiac G. Onset time for sevoflurane/nitrous oxide induction in adults is prolonged with increasing age. Anesthesia & Analgesia 2006, 102(6):1699-1702. http://dx.doi.org/10.1213/01.ane.0000205749.92049.91.
20. Adams D.H., Abernathy B.B. Laser ureterolithotripsy for cystine calculi. AORN 1996, 64(6):924-930. http://dx.doi.org/10.1016/S0001-2092(06)63603-X.
21. Bouarfa L, Jonker P, Dankelman J. Discovery of high-level tasks in the operating room. Journal of Biomedical Informatics 2010;in press, corrected proof, http://dx.doi.org/10.1016/j.jbi.2010.01.004.