Portal de Periódicos da CAPES

TUMOR DETECTION BY VIRTUAL CYSTOSCOPY WITH COLOR MAPPING OF BLADDER WALL THICKNESS

2002; Lippincott Williams & Wilkins; Volume: 167; Issue: 2 Part 1 Linguagem: Inglês

10.1016/s0022-5347(01)69085-2

1527-3792

Julia R. Fielding, Lennox Hoyte, STEVEN A. OKON, A. Schreyer, JHEMON LEE, Kelly H. Zou, Simon K. Warfield, Jerome P. Richie, Kevin R. Loughlin, Michael P. O’Leary, Chris Doyle, Ron Kikinis,

Urinary and Genital Oncology Studies

No AccessJournal of UrologyCLINICAL UROLOGY: Original Articles1 Feb 2002TUMOR DETECTION BY VIRTUAL CYSTOSCOPY WITH COLOR MAPPING OF BLADDER WALL THICKNESS JULIA R. FIELDING, LENNOX HOYTE, STEVEN A. OKON, ANDREAS SCHREYER, JHEMON LEE, KELLY H. ZOU, SIMON WARFIELD, JEROME P. RICHIE, KEVIN R. LOUGHLIN, MICHAEL P. O’LEARY, CHRISTOPHER J. DOYLE, and RON KIKINIS JULIA R. FIELDINGJULIA R. FIELDING More articles by this author , LENNOX HOYTELENNOX HOYTE More articles by this author , STEVEN A. OKONSTEVEN A. OKON More articles by this author , ANDREAS SCHREYERANDREAS SCHREYER More articles by this author , JHEMON LEEJHEMON LEE More articles by this author , KELLY H. ZOUKELLY H. ZOU More articles by this author , SIMON WARFIELDSIMON WARFIELD More articles by this author , JEROME P. RICHIEJEROME P. RICHIE More articles by this author , KEVIN R. LOUGHLINKEVIN R. LOUGHLIN More articles by this author , MICHAEL P. O’LEARYMICHAEL P. O’LEARY More articles by this author , CHRISTOPHER J. DOYLECHRISTOPHER J. DOYLE More articles by this author , and RON KIKINISRON KIKINIS More articles by this author View All Author Informationhttps://doi.org/10.1016/S0022-5347(01)69085-2AboutFull TextPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissionsReprints ShareFacebookLinked InTwitterEmail Abstract Purpose: We determine the value of color mapping of bladder wall thickness for detection of tumor as a component of virtual cystoscopy. Materials and Methods: A total of 31 subjects with hematuria and/or a history of bladder tumor underwent helical computerized tomography of the pelvis after distention of the bladder with air. Three-dimensional (D) models were constructed, and thickness of the wall was color mapped according to a fixed and validated mm. scale. Axial source images and 3-D models were reviewed and graded for the presence of wall thickening. A comparison was made with findings on conventional cystoscopy in 31 patients and pathological specimen in 13. Results: Compared with conventional cystoscopy, the analysis of axial image yielded a sensitivity of 0.80, specificity 0.90, positive predictive value 0.80 and negative predictive value 0.90 for the presence of tumor. Examination of color mapped 3-D renderings resulted in 0.83, 0.36, 0.42 and 0.71, respectively. Conclusions: Thin axial computerized tomography of the air distended bladder shows promise as a potential screening tool for bladder cancer. The low specificity of color mapped 3-D renderings makes the technique inappropriate for screening. It may valuable for guiding urologists to additional suspicious sites in a patient with a known tumor. References 1 : The treated natural history of high risk superficial bladder cancer: 15-year outcome. J Urol1997; 158: 62. Link, Google Scholar 2 : Upper urinary tract tumors developing after treatment of superficial bladder cancer: 7-year follow-up of 591 consecutive patients. Urology1999; 53: 1144. Crossref, Medline, Google Scholar 3 : Urine cytology of transitional cell neoplasms. Urol Clin North Am1979; 6: 599. Crossref, Medline, Google Scholar 4 : Development of nosocomial and iatrogenic urinary tract infections (UTI) following urological interventions. A prospective clinical study. Scand J Urol Nephrol Suppl1987; 104: 59. Medline, Google Scholar 5 : Morbidity following cystoscopy: comparison of flexible and rigid techniques. Br J Urol1990; 66: 152. Crossref, Medline, Google Scholar 6 : CT cystoscopy: an innovation in bladder imaging. AJR Am J Roentgenol1996; 166: 409. Crossref, Medline, Google Scholar 7 : The bladder and bladder tumors: imaging with three-dimensional display of helical CT data. AJR Am J Roentgenol1996; 167: 1134. Crossref, Medline, Google Scholar 8 : Virtual cystoscopy: early clinical experience. Radiology1997; 205: 272. Crossref, Medline, Google Scholar 9 : 3-Dimensional computerized tomography and virtual reality endoscopy of the reconstructed lower urinary tract. J Urol1998; 159: 741. Link, Google Scholar 10 : Bladder tumor detection at virtual cystoscopy. Radiology2001; 218: 95. Crossref, Medline, Google Scholar 11 : Two algorithms for the three-dimensional reconstruction of tomograms. Med Phys1988; 15: 320. Crossref, Medline, Google Scholar 12 : Computer-assisted interactive three-dimensional planning for neurosurgical procedures. Neurosurgery1996; 38: 640. Crossref, Medline, Google Scholar 13 : Three-dimensional imaging of renal tumors using spiral CT: a potential aid to partial nephrectomy. Urology1994; 43: 125. Crossref, Medline, Google Scholar 14 : Virtual CT cystoscopy: color mapping of bladder wall thickness. Invest Radiol2000; 35: 331. Crossref, Medline, Google Scholar 15 : Three-dimensional segmentation of MR images of the head using probability and connectivity. J Comput Assist Tomogr1990; 14: 1035. Crossref, Medline, Google Scholar From the Department of Radiology and Division of Urologic Surgery, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts© 2002 by American Urological Association, Inc.FiguresReferencesRelatedDetailsCited by Freitas N, Vieira P, Cordeiro A, Tinoco C, Morais N, Torres J, Anacleto S, Laguna M, Lima E and Lima C (2022) Detection of bladder cancer with feature fusion, transfer learning and CapsNetsArtificial Intelligence in Medicine, 10.1016/j.artmed.2022.102275, VOL. 126, (102275), Online publication date: 1-Apr-2022. Freitas N, Vieira P, Lima E and Lima C (2018) Automatic T1 bladder tumor detection by using wavelet analysis in cystoscopy imagesPhysics in Medicine & Biology, 10.1088/1361-6560/aaa3af, VOL. 63, NO. 3, (035031) Freitas N, Vieira P, Lima E, Lima C and Brandao Lima V (2017) Using cystoscopy to segment bladder tumors with a multivariate approach in different color spaces 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 10.1109/EMBC.2017.8036910, 978-1-5090-2809-2, (656-659) Basssiouny R and Elia R (2017) Recurrent bladder tumors after transurethral resection: Diagnostic yield of MDCT-virtual cystoscopyThe Egyptian Journal of Radiology and Nuclear Medicine, 10.1016/j.ejrnm.2017.02.001, VOL. 48, NO. 2, (509-517), Online publication date: 1-Jun-2017. Freitas N, Vieira P, Lima E and Lima C (2017) Segmentation of bladder tumors in cystoscopy images using a MAP approach in different color spaces 2017 IEEE 5th Portuguese Meeting on Bioengineering (ENBENG), 10.1109/ENBENG.2017.7889429, 978-1-5090-4801-4, (1-4) Zhang X, Liu Y, Yang Z, Tian Q, Zhang G, Xiao D, Cui G and Lu H Quantitative Analysis of Bladder Wall Thickness for Magnetic Resonance CystoscopyIEEE Transactions on Biomedical Engineering, 10.1109/TBME.2015.2429612, VOL. 62, NO. 10, (2402-2409) Hadjiiski L, Tourassi G, Zhang X, Liu Y, Li B, Zhang G, Liang Z and Lu H (2015) A pilot study on bladder wall thickness at different filling stages SPIE Medical Imaging, 10.1117/12.2082490, , (94143O), Online publication date: 20-Mar-2015. Abrol S, Jairath A, Ganpule S, Ganpule A, Mishra S, Sabnis R and Desai M (2015) Can CT Virtual Cystoscopy Replace Conventional Cystoscopy in Early Detection of Bladder Cancer?Advances in Urology, 10.1155/2015/926590, VOL. 2015, (1-6), . Kim J, Kim S, Lee H, Kim M, Kim Y and Cho S (2014) MDCT Urography for Detecting Recurrence After Transurethral Resection of Bladder Cancer: Comparison of Nephrographic Phase With Pyelographic PhaseAmerican Journal of Roentgenology, 10.2214/AJR.13.12068, VOL. 203, NO. 5, (1021-1027), Online publication date: 1-Nov-2014. Zhang X, Liu Y, Xiao D, Zhang G, Liao Q and Lu H (2014) MRI-Based Thickness Analysis of Bladder Cancer: A Pilot Study Abdominal Imaging. Computational and Clinical Applications, 10.1007/978-3-319-13692-9_24, (248-256), . Jolesz F (2014) History of Image-Guided Therapy at Brigham and Women’s Hospital Intraoperative Imaging and Image-Guided Therapy, 10.1007/978-1-4614-7657-3_2, (25-45), . Zhao Y, Liang Z, Zhu H, Han H, Duan C, Yan Z, Lu H and Gu X (2013) Bladder wall thickness mapping for magnetic resonance cystographyPhysics in Medicine and Biology, 10.1088/0031-9155/58/15/5173, VOL. 58, NO. 15, (5173-5192), Online publication date: 7-Aug-2013. Amin M and Abd El Hamid A (2012) The diagnostic accuracy of multidetector computed tomography with multiplanar reformatted imaging and virtual cystoscopy in the early detection and evaluation of bladder carcinoma: comparison with conventional cystoscopyAbdominal Imaging, 10.1007/s00261-012-9902-6, VOL. 38, NO. 1, (184-192), Online publication date: 1-Feb-2013. Qin X, Liu Y, Lu H, Li X and Yan P (2012) Coupled Directional Level Set for MR Image Segmentation 2012 Eleventh International Conference on Machine Learning and Applications (ICMLA), 10.1109/ICMLA.2012.39, 978-1-4673-4651-1, (185-190) Chaijie Duan , Kehong Yuan , Fanghua Liu , Ping Xiao , Guoqing Lv and Zhengrong Liang An Adaptive Window-Setting Scheme for Segmentation of Bladder Tumor Surface via MR CystographyIEEE Transactions on Information Technology in Biomedicine, 10.1109/TITB.2012.2200496, VOL. 16, NO. 4, (720-729) Lin Q, Liang Z, Li H, Jambawalikar S, Wang Q, Phillips B, Waltzer W, Zawin M, Harrington D and He X (2011) An image processing approach to compensate for the bladder wall motion and deformation in MR cystography 2011 IEEE Nuclear Science Symposium and Medical Imaging Conference (2011 NSS/MIC), 10.1109/NSSMIC.2011.6152554, 978-1-4673-0120-6, (3061-3065) Chaijie Duan , Kehong Yuan , Fanghua Liu , Ping Xiao , Guoqing Lv and Zhengrong Liang Volume-Based Features for Detection of Bladder Wall Abnormal Regions via MR CystographyIEEE Transactions on Biomedical Engineering, 10.1109/TBME.2011.2158541, VOL. 58, NO. 9, (2506-2512) Liu F, Duan C, Yuan K, Liang Z and Bao S (2011) Detecting Bladder Abnormalities Based on Inter-layer Intensity Curve for Virtual Cystoscopy Virtual Colonoscopy and Abdominal Imaging. Computational Challenges and Clinical Opportunities, 10.1007/978-3-642-25719-3_11, (76-83), . Chaijie Duan , Zhengrong Liang , Shangliang Bao , Hongbin Zhu , Su Wang , Guangxiang Zhang , Chen J and Hongbing Lu A Coupled Level Set Framework for Bladder Wall Segmentation With Application to MR CystographyIEEE Transactions on Medical Imaging, 10.1109/TMI.2009.2039756, VOL. 29, NO. 3, (903-915) Koplay M, Kantarci M, Güven F, Aksoy Y, Taser F, Ziypak T, Eren S, Levent A and Atamanalp S (2010) Diagnostic Efficiency of Multidetector Computed Tomography With Multiplanar Reformatted Imaging and Virtual Cystoscopy in the Assessment of Bladder Tumors After Transurethral ResectionJournal of Computer Assisted Tomography, 10.1097/RCT.0b013e3181b728ae, VOL. 34, NO. 1, (121-126), Online publication date: 1-Jan-2010. Panebianco V, Osimani M, Lisi D, Santucci E, Ciccariello M, Iori S, Catalano C and Passariello R (2008) 64-detector row CT cystography with virtual cystoscopy in the detection of bladder carcinoma: preliminary experience in selected patientsRuolo della cistografia TC con cistoscopia virtuale mediante apparecchiatura multistrato a 64 detettori nell’identificazione delle neoplasie vescicali: esperienza preliminare in pazienti selezionatiLa radiologia medica, 10.1007/s11547-008-0350-x, VOL. 114, NO. 1, (52-69), Online publication date: 1-Feb-2009. Sadow C, Silverman S, O'Leary M and Signorovitch J (2008) Bladder Cancer Detection with CT Urography in an Academic Medical CenterRadiology, 10.1148/radiol.2491071860, VOL. 249, NO. 1, (195-202), Online publication date: 1-Oct-2008. Lopes R, Nogueira L, Albertotti C, Takahashi D and Lopes R (2008) Comparison of Virtual Cystoscopy and Transabdominal Ultrasonography with Conventional Cystoscopy for Bladder Tumor DetectionJournal of Endourology, 10.1089/end.2007.0363, VOL. 22, NO. 8, (1725-1730), Online publication date: 1-Aug-2008. Mohammed A, Simpson A, Zamora I and Gilliland L (2014) Virtual cystoscopyExpert Review of Molecular Diagnostics, 10.1586/14737159.8.4.449, VOL. 8, NO. 4, (449-454), Online publication date: 1-Jul-2008. Williams S and Sohaib A (2008) Imaging in the diagnosis of bladder cancer Carcinoma of the Bladder, 10.1017/CBO9780511545399.005, (31-50) Jung S, Kang T, Shin S, Kwon D, Park K and Ryu S (2007) Usefulness of Virtual Cystoscopy using a 64-channel Multidetector-row Computed Tomography Scanner for Detecting Bladder TumorsKorean Journal of Urology, 10.4111/kju.2007.48.4.383, VOL. 48, NO. 4, (383), . McNally M, Rashid H and Messing E Early diagnosis and screening Invasive Bladder Cancer, 10.1007/978-1-84628-377-2_2, (15-38) Fielding J, Borland D, Lee K, Clarke J, Wallen E, Pruthi R and Taylor R (2006) Virtual Pyeloscopy Using Volumetric Depth PeelingAcademic Radiology, 10.1016/j.acra.2006.02.042, VOL. 13, NO. 6, (759-763), Online publication date: 1-Jun-2006. Chou D and McDougall E Endoscopic Imaging and Instrumentation Advanced Endourology, 10.1007/978-1-59259-954-7_1, (1-18) Heinz-Peer G, Happel B, Memarsadeghi M and Mang T (2005) Virtuelle MDCT-Zystoskopie bei der Detektion von BlasenläsionenVirtual multislice computed tomography cystoscopy for evaluation of urinary bladder lesionsDer Radiologe, 10.1007/s00117-005-1227-9, VOL. 45, NO. 10, (897-904), Online publication date: 1-Oct-2005. Kim J, Park S, Kim H, Kim S and Cho K (2005) Comparison of Virtual Cystoscopy, Multiplanar Reformation, and Source CT Images with Contrast Material-Filled Bladder for Detecting LesionsAmerican Journal of Roentgenology, 10.2214/ajr.185.3.01850689, VOL. 185, NO. 3, (689-696), Online publication date: 1-Sep-2005. Browne R, Murphy S, Grainger R and Hamilton S (2005) CT cystography and virtual cystoscopy in the assessment of new and recurrent bladder neoplasmsEuropean Journal of Radiology, 10.1016/j.ejrad.2004.02.002, VOL. 53, NO. 1, (147-153), Online publication date: 1-Jan-2005. Tsili A, Tsampoulas C, Chatziparaskevas N, Silakos A, Kalef-Ezra J, Sofikitis N and Efremidis S (2004) Computed Tomographic Virtual Cystoscopy for the Detection of Urinary Bladder NeoplasmsEuropean Urology, 10.1016/j.eururo.2004.04.031, VOL. 46, NO. 5, (579-585), Online publication date: 1-Nov-2004. Hoyte L, Jakab M, Warfield S, Shott S, Flesh G and Fielding J (2004) Levator ani thickness variations in symptomatic and asymptomatic women using magnetic resonance-based 3-dimensional color mappingAmerican Journal of Obstetrics and Gynecology, 10.1016/j.ajog.2004.06.067, VOL. 191, NO. 3, (856-861), Online publication date: 1-Sep-2004. Kundra V and Silverman P (2003) Imaging in the Diagnosis, Staging, and Follow-Up of Cancer of the Urinary BladderAmerican Journal of Roentgenology, 10.2214/ajr.180.4.1801045, VOL. 180, NO. 4, (1045-1054), Online publication date: 1-Apr-2003. Jaume S, Ferrant M, Macq B, Hoyte L, Fielding J, Schreyer A, Kikinis R and Warfield S (2003) Tumor detection in the bladder wall with a measurement of abnormal thickness in CT scansIEEE Transactions on Biomedical Engineering, 10.1109/TBME.2003.808828, VOL. 50, NO. 3, (383-390), Online publication date: 1-Mar-2003. Williams R (2002) What’s New in UrologyJournal of the American College of Surgeons, 10.1016/S1072-7515(02)01488-6, VOL. 195, NO. 5, (663-674), Online publication date: 1-Nov-2002. Volume 167Issue 2 Part 1February 2002Page: 559-562 Advertisement Copyright & Permissions© 2002 by American Urological Association, Inc.Keywordsbladder neoplasmsdiagnosisbladdertomography scanners, x-ray computeddata displayMetricsAuthor Information JULIA R. FIELDING More articles by this author LENNOX HOYTE More articles by this author STEVEN A. OKON More articles by this author ANDREAS SCHREYER More articles by this author JHEMON LEE More articles by this author KELLY H. ZOU More articles by this author SIMON WARFIELD More articles by this author JEROME P. RICHIE More articles by this author KEVIN R. LOUGHLIN More articles by this author MICHAEL P. O’LEARY More articles by this author CHRISTOPHER J. DOYLE More articles by this author RON KIKINIS More articles by this author Expand All Advertisement PDF downloadLoading ...