Volumetric Analysis Using Low-Field Intraoperative Magnetic Resonance Imaging for 168 Newly Diagnosed Supratentorial Glioblastomas: Effects of Extent of Resection and Residual Tumor Volume on Survival and Recurrence

被引:41
作者
Fukui, Atsushi [1 ,2 ]
Muragaki, Yoshihiro [1 ,2 ]
Saito, Taiichi [3 ]
Maruyama, Takashi [1 ,2 ]
Nitta, Masayuki [1 ,2 ]
Ikuta, Soko [1 ]
Kawamata, Takakazu [2 ]
机构
[1] Tokyo Womens Med Univ, Fac Adv Technosurg, Inst Adv Biomed Engn & Sci, Grad Sch Med, Tokyo, Japan
[2] Tokyo Womens Med Univ, Dept Neurosurg, Hiroshima, Japan
[3] Hiroshima Univ, Dept Neurosurg, Hiroshima, Japan
关键词
Extent of resection; Glioblastoma; Intraoperative magnetic resonance imaging; Low field; Residual tumor volume; Threshold; Volumetry; GUIDED SURGICAL-MANAGEMENT; MALIGNANT GLIOMA; 3D SLICER; SURGERY; MRI; MULTIFORME; RADIOTHERAPY; TEMOZOLOMIDE; ENHANCEMENT; PREDICTORS;
D O I
10.1016/j.wneu.2016.10.109
中图分类号
R74 [神经病学与精神病学];
学科分类号
摘要
BACKGROUND: Extent of resection (EOR) remains controversial in therapy for glioblastoma (GBM). However, an increasing number of studies favor maximum EOR as being associated with longer patient survival. Residual tumor volume (RTV) has also recently emerged as a prognostic factor. Low-field intraoperative magnetic resonance imaging (iMRI) has contributed to improve the EOR of GBM. The purpose of this study was to analyze the relationships between EOR/RTV and overall survival (OS)/progression-free survival (PFS) in patients with newly diagnosed GBM using low-field iMRI. METHODS: Adult patients who underwent surgery for newly diagnosed supratentorial GBM between 2000 and 2012 were retrospectively reviewed. Three-dimensional volumetric tumor measurements were made. Multivariate analysis was used to evaluate the relationships between EOR/RTV and OS/PFS. RESULTS: Of 168 patients, 126 (75%) died and 154 (91%) showed tumor recurrence. Median OS and PFS for patients with iMRI were 19.3 months (95% confidence interval, 15.4-23.7 months) and 9.5 months (95% confidence interval, 7.8-10.8 months). Median preoperative tumor volume was 37.0 cm(3) (interquartile range [IQR], 19.9-59.8 cm3). Median RTV was 0 cm(3) (IQR, 0-1.6 cm(3)). Median EOR was 100% (IQR, 96.2%-100%). In multivariate analysis, after controlling for age and Karnofsky Performance Status, EOR and RTV remained significantly associated with survival (hazard ratio, 1.56; P = 0.018) and recurrence (hazard ratio, 1.53; P = 0.013). Maximum RTV for survival was 3 cm(3). CONCLUSIONS: This volumetric analysis for low-field iMRI showed that both EOR and RTV were significantly associated with survival and recurrence. We determined a threshold RTV of 3 cm(3) as the maximum RTV associated with survival.
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收藏
页码:73 / 80
页数:8
相关论文
共 47 条
[11]   When Gross Total Resection of a Glioblastoma Is Possible, How Much Resection Should Be Achieved? [J].
Chaichana, Kaisorn L. ;
Cabrera-Aldana, Eibar Ernesto ;
Jusue-Torres, Ignacio ;
Wijesekera, Olindi ;
Olivi, Alessandro ;
Rahman, Maryam ;
Quinones-Hinojosa, Alfredo .
WORLD NEUROSURGERY, 2014, 82 (1-2) :E257-E265
[12]   Establishing percent resection and residual volume thresholds affecting survival and recurrence for patients with newly diagnosed intracranial glioblastoma [J].
Chaichana, Kaisorn L. ;
Jusue-Torres, Ignacio ;
Navarro-Ramirez, Rodrigo ;
Raza, Shaan M. ;
Pascual-Gallego, Maria ;
Ibrahim, Aly ;
Hernandez-Hermann, Marta ;
Gomez, Luis ;
Ye, Xiaobu ;
Weingart, Jon D. ;
Olivi, Alessandro ;
Blakeley, Jaishri ;
Gallia, Gary L. ;
Lim, Michael ;
Brem, Henry ;
Quinones-Hinojosa, Alfredo .
NEURO-ONCOLOGY, 2014, 16 (01) :113-122
[13]   Is Supratotal Resection of Glioblastoma in Noneloquent Areas Possible? [J].
Duffau, Hugues .
WORLD NEUROSURGERY, 2014, 82 (1-2) :E101-E103
[14]   GBM Volumetry using the 3D Slicer Medical Image Computing Platform [J].
Egger, Jan ;
Kapur, Tina ;
Fedorov, Andriy ;
Pieper, Steve ;
Miller, James V. ;
Veeraraghavan, Harini ;
Freisleben, Bernd ;
Golby, Alexandra J. ;
Nimsky, Christopher ;
Kikinis, Ron .
SCIENTIFIC REPORTS, 2013, 3
[15]   3D Slicer as an image computing platform for the Quantitative Imaging Network [J].
Fedorov, Andriy ;
Beichel, Reinhard ;
Kalpathy-Cramer, Jayashree ;
Finet, Julien ;
Fillion-Robin, Jean-Christophe ;
Pujol, Sonia ;
Bauer, Christian ;
Jennings, Dominique ;
Fennessy, Fiona ;
Sonka, Milan ;
Buatti, John ;
Aylward, Stephen ;
Miller, James V. ;
Pieper, Steve ;
Kikinis, Ron .
MAGNETIC RESONANCE IMAGING, 2012, 30 (09) :1323-1341
[16]   Prospective study of postoperative magnetic resonance imaging in patients with malignant gliomas [J].
Forsyth, PAJ ;
Petrov, E ;
Mahallati, H ;
Cairncross, JG ;
Brasher, P ;
MacRae, ME ;
Hagen, NA ;
Barnes, P ;
Sevick, RJ .
JOURNAL OF CLINICAL ONCOLOGY, 1997, 15 (05) :2076-2081
[17]   Residual tumor volume versus extent of resection: predictors of survival after surgery for glioblastoma [J].
Grabowski, Matthew M. ;
Recinos, Pablo F. ;
Nowacki, Amy S. ;
Schroeder, Jason L. ;
Angelov, Lilyana ;
Barnett, Gene H. ;
Vogelbaum, Michael A. .
JOURNAL OF NEUROSURGERY, 2014, 121 (05) :1115-1123
[18]   MR Imaging Predictors of Molecular Profile and Survival: Multi-institutional Study of the TCGA Glioblastoma Data Set [J].
Gutman, David A. ;
Cooper, Lee A. D. ;
Hwang, Scott N. ;
Holder, Chad A. ;
Gao, JingJing ;
Aurora, Tarun D. ;
Dunn, William D., Jr. ;
Scarpace, Lisa ;
Mikkelsen, Tom ;
Jain, Rajan ;
Wintermark, Max ;
Jilwan, Manal ;
Raghavan, Prashant ;
Huang, Erich ;
Clifford, Robert J. ;
Mongkolwat, Pattanasak ;
Kleper, Vladimir ;
Freymann, John ;
Kirby, Justin ;
Zinn, Pascal O. ;
Moreno, Carlos S. ;
Jaffe, Carl ;
Colen, Rivka ;
Rubin, Daniel L. ;
Saltz, Joel ;
Flanders, Adam ;
Brat, Daniel J. .
RADIOLOGY, 2013, 267 (02) :560-569
[19]   Impact of Intraoperative Stimulation Brain Mapping on Glioma Surgery Outcome: A Meta-Analysis [J].
Hamer, Philip C. De Witt ;
Gil Robles, Santiago ;
Zwinderman, Aeilko H. ;
Duffau, Hugues ;
Berger, Mitchel S. .
JOURNAL OF CLINICAL ONCOLOGY, 2012, 30 (20) :2559-2565
[20]   Advanced Computer-aided Intraoperative Technologies for Information-guided Surgical Management of Gliomas: Tokyo Women's Medical University Experience [J].
Iseki, H. ;
Nakamura, R. ;
Muragaki, Y. ;
Suzuki, T. ;
Chernov, M. ;
Hori, T. ;
Takakura, K. .
MINIMALLY INVASIVE NEUROSURGERY, 2008, 51 (05) :285-291