Validation of a Web-Based Planning Tool for Percutaneous Cryoablation of Renal Tumors

被引:8
作者
van Oostenbrugge, Tim J. [1 ]
Heidkamp, Jan [2 ]
Moche, Michael [3 ]
Weir, Phil [4 ]
Mariappan, Panchatcharam [4 ,9 ]
Flanigan, Ronan [4 ]
Pollari, Mika [5 ]
Payne, Stephen [6 ]
Kolesnik, Marina [7 ]
Jenniskens, Sjoerd F. M. [2 ]
Futterer, Jurgen J. [2 ,8 ]
机构
[1] Radboud Univ Nijmegen, Med Ctr, Dept Urol, POB 9101, NL-6500 HB Nijmegen, Netherlands
[2] Radboud Univ Nijmegen, Med Ctr, Dept Radiol & Nucl Med, Nijmegen, Netherlands
[3] Univ Hosp, Dept Diagnost & Intervent Radiol, Leipzig, Germany
[4] NUMA Engn Serv Ltd, Dublin, Ireland
[5] Aalto Univ, Dept Neurosci & Biomed Engn, Espoo, Finland
[6] Univ Oxford, Inst Biomed Engn, Dept Engn Sci, Oxford, England
[7] Fraunhofer FIT Inst Appl Informat Technol, St Augustin, Germany
[8] Univ Twente, Inst Biomed Technol & Tech Med, MIRA, Enschede, Netherlands
[9] Indian Inst Technol, Dept Math, Tirupati, Andhra Pradesh, India
关键词
Cryosurgery; Kidney neoplasms; Computer-assisted image processing; Intraoperative monitoring; Preoperative care; MASSES; ABLATION; SELECTION;
D O I
10.1007/s00270-020-02634-y
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Purpose To validate a simulation environment for virtual planning of percutaneous cryoablation of renal tumors. Materials and Methods Prospectively collected data from 19 MR-guided procedures were used for validation of the simulation model. Volumetric overlap of the simulated ablation zone volume (sigma) and the segmented ablation zone volume (S; assessed on 1-month follow-up scan) was quantified. Validation metrics were DICE Similarity Coefficient (DSC; the ratio between twice the overlapping volume of both ablation zones divided by the sum of both ablation zone volumes), target overlap (the ratio between the overlapping volume of both ablation zones to the volume ofS; low ratio meansSis underestimated), and positive predictive value (the ratio between the overlapping volume of both ablation zones to the volume of sigma; low ratio meansSis overestimated). Values were between 0 (no alignment) and 1 (perfect alignment), a value > 0.7 is considered good. Results Mean volumes ofSand sigma were 14.8 cm(3)(+/- 9.9) and 26.7 cm(3)(+/- 15.0), respectively. Mean DSC value was 0.63 (+/- 0.2), and >= 0.7 in 9 cases (47%). Mean target overlap and positive predictive value were 0.88 (+/- 0.11) and 0.53 (+/- 0.24), respectively. In 17 cases (89%), target overlap was >= 0.7; positive predictive value was >= 0.7 in 4 cases (21%) and < 0.6 in 13 cases (68%). This indicatesSis overestimated in the majority of cases. Conclusion The validation results showed a tendency of the simulation model to overestimate the ablation effect. Model adjustments are necessary to make it suitable for clinical use.
引用
收藏
页码:1661 / 1670
页数:10
相关论文
共 24 条
[1]   Percutaneous Cryoablation of Renal Tumors: Patient Selection, Technique, and Postprocedural Imaging [J].
Allen, Brian C. ;
Remer, Erick M. .
RADIOGRAPHICS, 2010, 30 (04) :887-902
[2]   Oncologic Outcomes Following Partial Nephrectomy and Percutaneous Ablation for cT1 Renal Masses [J].
Andrews, Jack R. ;
Atwell, Thomas ;
Schmit, Grant ;
Lohse, Christine M. ;
Kurup, A. Nicholas ;
Weisbrod, Adam ;
Callstrom, Matthew R. ;
Cheville, John C. ;
Boorjian, Stephen A. ;
Leibovich, Bradley C. ;
Thompson, R. Houston .
EUROPEAN UROLOGY, 2019, 76 (02) :244-251
[3]   Percutaneous Cryoablation of Renal Tumors: Is It Time for a New Paradigm Shift? [J].
Aoun, Hussein D. ;
Littrup, Peter J. ;
Jaber, Mohamed ;
Memon, Fatima ;
Adam, Barbara ;
Krycia, Mark ;
Prus, Matthew ;
Heath, Elisabeth ;
Pontes, Edson .
JOURNAL OF VASCULAR AND INTERVENTIONAL RADIOLOGY, 2017, 28 (10) :1363-1370
[4]   Development of a Searchable Database of Cryoablation Simulations for Use in Treatment Planning [J].
Boas, F. Edward ;
Srimathveeravalli, Govindarajan ;
Durack, Jeremy C. ;
Kaye, Elena A. ;
Erinjeri, Joseph P. ;
Ziv, Etay ;
Maybody, Majid ;
Yarmohammadi, Hooman ;
Solomon, Stephen B. .
CARDIOVASCULAR AND INTERVENTIONAL RADIOLOGY, 2017, 40 (05) :761-768
[5]   Percutaneous cryoablation of renal tumours: outcomes from 171 tumours in 147 patients [J].
Breen, David J. ;
Bryant, Timothy J. ;
Abbas, Ausami ;
Shepherd, Beth ;
McGill, Neil ;
Anderson, Jane A. ;
Lockyer, Richard C. ;
Hayes, Matthew C. ;
George, Steve L. .
BJU INTERNATIONAL, 2013, 112 (06) :758-765
[6]   Cryoablation versus Partial Nephrectomy for Clinical Stage T1 Renal Masses: A Systematic Review and Meta-Analysis [J].
Deng, Wen ;
Chen, Luyao ;
Wang, Yibing ;
Liu, Xiaoqiang ;
Wang, Gongxian ;
Liu, Weipeng ;
Zhang, Cheng ;
Zhou, Xiaochen ;
Li, Yu ;
Fu, Bin .
JOURNAL OF CANCER, 2019, 10 (05) :1226-1236
[7]   MEASURES OF THE AMOUNT OF ECOLOGIC ASSOCIATION BETWEEN SPECIES [J].
DICE, LR .
ECOLOGY, 1945, 26 (03) :297-302
[8]   A mathematical framework for minimally invasive tumor ablation therapies [J].
Hall, Sheldon K. ;
Ooi, Ean Hin ;
Payne, Stephen J. .
Critical Reviews in Biomedical Engineering, 2014, 42 (05) :383-417
[9]   Percutaneous cryoablation of renal masses: Washington University experience of treating 129 tumours [J].
Kim, Eric H. ;
Tanagho, Youssef S. ;
Bhayani, Sam B. ;
Saad, Nael E. ;
Benway, Brian M. ;
Figenshau, R. Sherburne .
BJU INTERNATIONAL, 2013, 111 (06) :872-879
[10]   European Association of Urology Guidelines on Renal Cell Carcinoma: The 2019 Update [J].
Ljungberg, Borje ;
Albiges, Laurance ;
Abu-Ghanem, Yasmin ;
Bensalan, Karim ;
Dabestani, Saeed ;
Montes, Sergio Fernandez-Pello ;
Giles, Rachel H. ;
Hofmann, Fabian ;
Hora, Milan ;
Kuczyk, Markus A. ;
Kuusk, Teele ;
Lam, Thomas B. ;
Marconi, Lorenzo ;
Merseburger, Axel S. ;
Powles, Thomas ;
Staehler, Michael ;
Tahbaz, Rana ;
Volpe, Alessandro ;
Bex, Axel .
EUROPEAN UROLOGY, 2019, 75 (05) :799-810