Development and external validation of a predictive model for pathological complete response of rectal cancer patients including sequential PET-CT imaging

Radiotherapy and Oncology

Volumn 98, Issue 1, 2011, Pages 126-133

  Van Stiphout, Ruud G P M ^a,b   Lammering, Guido ^a   Buijsen, Jeroen ^a   Janssen, Marco H M ^a   Gambacorta, Maria Antonietta ^c   Slagmolen, Pieter ^d,e   Lambrecht, Maarten ^d   Rubello, Domenico ^f   Gava, Marcello ^f   Giordano, Alessandro ^c   Postma, Eric O ^g   Haustermans, Karin ^d   Capirci, Carlo ^h   Valentini, Vincenzo ^c   Lambin, Philippe ^a  

^a MAASTRICHT UNIVERSITY MEDICAL CENTER   (Netherlands)

^b MAASTRICHT UNIVERSITY   (Netherlands)

^c CATHOLIC UNIVERSITY   (Italy)

^d UNIVERSITY HOSPITALS LEUVEN   (Belgium)

^e UNIVERSITY OF LEUVEN   (Belgium)

^f S Maria della Misericordia State Hospital   (Italy)

^g TILBURG UNIVERSITY   (Netherlands)

^h S MARIA DELLA MISERICORDIA HOSPITAL   (Italy)

Author keywords

External validation; Machine learning; PET imaging; Rectal cancer; Response prediction

Indexed keywords

ANTINEOPLASTIC AGENT; RADIOISOTOPE;

ADULT; AGED; ARTICLE; CANCER PATIENT; CANCER SIZE; CANCER STAGING; CHEMORADIOTHERAPY; COMPUTER ASSISTED TOMOGRAPHY; DECISION SUPPORT SYSTEM; EXTERNAL VALIDITY; FEMALE; HUMAN; MAJOR CLINICAL STUDY; MALE; MODEL; NOMOGRAM; POSITRON EMISSION TOMOGRAPHY; PRIORITY JOURNAL; RECTUM CANCER; SUPPORT VECTOR MACHINE; TREATMENT RESPONSE;

ADULT; AGED; AREA UNDER CURVE; FEMALE; HUMANS; MALE; MIDDLE AGED; POSITRON-EMISSION TOMOGRAPHY; RECTAL NEOPLASMS; TOMOGRAPHY, X-RAY COMPUTED;

EID: 78651356692     PISSN: 01678140     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.radonc.2010.12.002     Document Type: Article

References (42)

1. Adjuvant radiotherapy for rectal cancer: a systematic overview of 8507 patients from 22 randomised trials. Lancet 2001; 358: 1291-1304.
2. V. Valentini, R. Beets-Tan, and J.M. Borras Evidence and research in rectal cancer Radiother Oncol 87 2008 449 474
3. V. Valentini, C. Aristei, and B. Glimelius Multidisciplinary rectal cancer management: 2nd European rectal cancer consensus conference (EURECA-CC2) Radiother Oncol 92 2009 148 163
4. C. Capirci, L. Rampin, and P.A. Erba Sequential FDG-PET/CT reliably predicts response of locally advanced rectal cancer to neo-adjuvant chemo-radiation therapy Eur J Nucl Med Mol Imaging 34 2007 1583 1593 (Pubitemid 47476915)
5. C. Capirci, D. Rubello, and F. Chierichetti Long-term prognostic value of 18F-FDG PET in patients with locally advanced rectal cancer previously treated with neoadjuvant radiochemotherapy AJR Am J Roentgenol 187 2006 W202 W208
6. V. Valentini, C. Coco, and N. Cellini Ten years of preoperative chemoradiation for extraperitoneal T3 rectal cancer: acute toxicity, tumor response, and sphincter preservation in three consecutive studies Int J Radiat Oncol Biol Phys 51 2001 371 383 (Pubitemid 32884284)
7. R.F. Vliegen, R.G. Beets-Tan, and B. Vanhauten Can an FDG-PET/CT predict tumor clearance of the mesorectal fascia after preoperative chemoradiation of locally advanced rectal cancer? Strahlenther Onkol 184 2008 457 464
8. B.H. O'Neil, and J.E. Tepper Current options for the management of rectal cancer Curr Treat Options Oncol 8 2007 331 338
9. S. Pucciarelli, P. Toppan, and M.L. Friso Complete pathologic response following preoperative chemoradiation therapy for middle to lower rectal cancer is not a prognostic factor for a better outcome Dis Colon Rectum 47 2004 1798 1807 (Pubitemid 40064422)
10. F.M. Vecchio, V. Valentini, and B.D. Minsky The relationship of pathologic tumor regression grade (TRG) and outcomes after preoperative therapy in rectal cancer Int J Radiat Oncol Biol Phys 62 2005 752 760 (Pubitemid 40779765)
11. A. Habr-Gama, R.O. Perez, and W. Nadalin Long-term results of preoperative chemoradiation for distal rectal cancer correlation between final stage and survival J Gastrointest Surg 9 2005 90 99 discussion 99-101 (Pubitemid 40037876)
12. C. Capirci, V. Valentini, and L. Cionini Prognostic value of pathologic complete response after neoadjuvant therapy in locally advanced rectal cancer: long-term analysis of 566 ypCR patients Int J Radiat Oncol Biol Phys 72 2008 99 107
13. C. Rodel, P. Martus, and T. Papadoupolos Prognostic significance of tumor regression after preoperative chemoradiotherapy for rectal cancer J Clin Oncol 23 2005 8688 8696 (Pubitemid 46211512)
14. T. Borschitz, D. Wachtlin, M. Mohler, H. Schmidberger, and T. Junginger Neoadjuvant chemoradiation and local excision for T2-3 rectal cancer Ann Surg Oncol 15 2008 712 720
15. G. Lezoche, M. Baldarelli, and M. Guerrieri A prospective randomized study with a 5-year minimum follow-up evaluation of transanal endoscopic microsurgery versus laparoscopic total mesorectal excision after neoadjuvant therapy Surg Endosc 22 2008 352 358
16. A. Habr-Gama, R.O. Perez, and W. Nadalin Operative versus nonoperative treatment for stage 0 distal rectal cancer following chemoradiation therapy: long-term results Ann Surg 240 2004 711 717 discussion 717-718 (Pubitemid 39281293)
17. C. Berger, A. de Muret, and P. Garaud Preoperative radiotherapy (RT) for rectal cancer: predictive factors of tumor downstaging and residual tumor cell density (RTCD): prognostic implications Int J Radiat Oncol Biol Phys 37 1997 619 627 (Pubitemid 27175318)
18. P. Das, J.M. Skibber, and M.A. Rodriguez-Bigas Predictors of tumor response and downstaging in patients who receive preoperative chemoradiation for rectal cancer Cancer 109 2007 1750 1755 (Pubitemid 46668536)
19. H. Amthauer, T. Denecke, and B. Rau Response prediction by FDG-PET after neoadjuvant radiochemotherapy and combined regional hyperthermia of rectal cancer: correlation with endorectal ultrasound and histopathology Eur J Nucl Med Mol Imaging 31 2004 811 819 (Pubitemid 38758350)
20. C. Capirci, D. Rubello, and F. Pasini The role of dual-time combined 18-fluorideoxyglucose positron emission tomography and computed tomography in the staging and restaging workup of locally advanced rectal cancer, treated with preoperative chemoradiation therapy and radical surgery Int J Radiat Oncol Biol Phys 2009
21. T. Denecke, B. Rau, and K.T. Hoffmann Comparison of CT, MRI and FDG-PET in response prediction of patients with locally advanced rectal cancer after multimodal preoperative therapy: is there a benefit in using functional imaging? Eur Radiol 15 2005 1658 1666 (Pubitemid 41102362)
22. J.G. Guillem, H.G. Moore, and T. Akhurst Sequential preoperative fluorodeoxyglucose-positron emission tomography assessment of response to preoperative chemoradiation: a means for determining longterm outcomes of rectal cancer J Am Coll Surg 199 2004 1 7 (Pubitemid 38813288)
23. V. Kalff, C. Duong, E.G. Drummond, J.P. Matthews, and R.J. Hicks Findings on 18F-FDG PET scans after neoadjuvant chemoradiation provides prognostic stratification in patients with locally advanced rectal carcinoma subsequently treated by radical surgery J Nucl Med 47 2006 14 22 (Pubitemid 46768507)
24. G.B. Melton, W.C. Lavely, and H.A. Jacene Efficacy of preoperative combined 18-fluorodeoxyglucose positron emission tomography and computed tomography for assessing primary rectal cancer response to neoadjuvant therapy J Gastrointest Surg 11 2007 961 969 discussion 969
25. R. Rosenberg, K. Herrmann, and R. Gertler The predictive value of metabolic response to preoperative radiochemotherapy in locally advanced rectal cancer measured by PET/CT Int J Colorectal Dis 24 2009 191 200
26. M.H. Janssen, M.C. Ollers, and R.G. Riedl Accurate prediction of pathological rectal tumor response after 2 weeks of pre-operative radiochemotherapy using FDG-PET-CT imaging Int J Radiat Oncol Biol Phys 2009
27. A. Konski, T. Li, and E. Sigurdson Use of molecular imaging to predict clinical outcome in patients with rectal cancer after preoperative chemotherapy and radiation Int J Radiat Oncol Biol Phys 74 2009 55 59
28. J.A. Eastham, M.W. Kattan, and P.T. Scardino Nomograms as predictive models Semin Urol Oncol 20 2002 108 115
29. J.F. Daisne, M. Sibomana, A. Bol, T. Doumont, M. Lonneux, and V. Gregoire Tri-dimensional automatic segmentation of PET volumes based on measured source-to-background ratios: influence of reconstruction algorithms Radiother Oncol 69 2003 247 250 (Pubitemid 37485998)
30. M. Ollers, G. Bosmans, and A. van Baardwijk The integration of PET-CT scans from different hospitals into radiotherapy treatment planning Radiother Oncol 87 2008 142 146
31. J.L. Schafer, and J.W. Graham Missing data: our view of the state of the art Psychol Methods 7 2002 147 177
32. J.A. Cruz, and D.S. Wishart Applications of machine learning in cancer prediction and prognosis Cancer Inform 2 2007 59 77
33. Fung GM, Mangasarian OL. Proximal support vector machine classifiers. International Conference on Knowledge Discovery and Data Mining, San Francisco (California, USA): ACM. 2001; pp 77-86.
34. M.S. Pepe Receiver operating characteristic methodology J Am Stat Assoc 2000 95
35. J. Carpenter, and J. Bithell Bootstrap confidence intervals: when, which, what? A practical guide for medical statisticians Stat Med 19 2000 1141 1164 (Pubitemid 30265928)
36. Niang, N, Saporta, G. Resampling ROC curves. Statistics for Data Mining, Learning and Knowledge Extraction, Aveiro (Portugal). 2007.
37. S.F. Shariat, U. Capitanio, C. Jeldres, and P.I. Karakiewicz Can nomograms be superior to other prediction tools? BJU Int 103 2009 492 495 discussion 495-497
38. A. Iasonos, D. Schrag, G.V. Raj, and K.S. Panageas How to build and interpret a nomogram for cancer prognosis J Clin Oncol 26 2008 1364 1370
39. Jakulin A, Možina M, Demšar J, Bratko I, Zupan B. Nomograms for visualizing support vector machines. International Conference on Knowledge Discovery and Data Mining, Chicago (Illinois, USA): ACM. 2005; pp 108-117. (Pubitemid 43218273)
40. L.E. Dodd, M.S. Pepe, and A.U.C. Partial Estimation and regression Biometrics 59 2003 614 623
41. M.H. Starmans, B. Krishnapuram, and H. Steck Robust prognostic value of a knowledge-based proliferation signature across large patient microarray studies spanning different cancer types Br J Cancer 99 2008 1884 1890
42. G.L. Cascini, A. Avallone, and P. Delrio 18F-FDG PET is an early predictor of pathologic tumor response to preoperative radiochemotherapy in locally advanced rectal cancer J Nucl Med 47 2006 1241 1248 (Pubitemid 47544874)