Literature DB >> 26188660

Early post-operative magnetic resonance imaging in glioblastoma: correlation among radiological findings and overall survival in 60 patients.

Carles Majós1,2,3, Mònica Cos4, Sara Castañer4, Miguel Gil5, Gerard Plans6, Anna Lucas7, Jordi Bruna8, Carles Aguilera4,9.   

Abstract

OBJECTIVES: To evaluate early post-operative magnetic resonance (EPMR) as a prognostic tool after resection of glioblastoma.
METHODS: Sixty EPMR examinations were evaluated for perioperative infarct, tumour growth between diagnosis and EPMR, contrast enhancement pattern, and extent of resection (EOR). The EOR was approached with the subjective evaluation of radiologists and by quantifying volumes. These parameters were tested as predictors of survival using the Kaplan-Meier method.
RESULTS: Contrast enhancement was found in 59 patients (59/60; 98 %). Showing a thin-linear pattern of enhancement was the most favourable finding. Patients with this pattern survived longer than patients with thick-linear (median overall survival (OS) thin-linear=609 days; thick-linear=432 days; P = .023) or nodular (median OS = 318 days; P = .001) enhancements. The subjective evaluation of the EOR performed better than its quantification. Patients survived longer when resection was total (median OS total resection=609 days; subtotal=371 days; P = .001). When resection was subtotal, patients survived longer if it was superior to 95 % (median OS resection superior to 95 %=559 days; inferior to 95 %=256 days; P = .034).
CONCLUSIONS: EPMR provides valuable prognostic information after surgical resection of glioblastomas. A thin-linear pattern of contrast enhancement is the most favourable finding. Further prognostic stratification may be obtained by assessing the EOR. KEY POINTS: • Some kind of contrast enhancement may be found in most EPMR examinations. • Thin-linear enhancements in the EPMR may be considered benign findings. • The EOR evaluated in the EPMR may stratify prognostic groups of patients. • The subjective evaluation of the EOR performs slightly better than its quantification.

Entities:  

Keywords:  Brain neoplasms, surgery; Glioblastoma; Magnetic resonance imaging; Survival analysis; Treatment outcome

Mesh:

Substances:

Year:  2015        PMID: 26188660     DOI: 10.1007/s00330-015-3914-x

Source DB:  PubMed          Journal:  Eur Radiol        ISSN: 0938-7994            Impact factor:   5.315


  16 in total

1.  Measurement of observer agreement.

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Journal:  Radiology       Date:  2003-06-20       Impact factor: 11.105

2.  Updated response assessment criteria for high-grade gliomas: response assessment in neuro-oncology working group.

Authors:  Patrick Y Wen; David R Macdonald; David A Reardon; Timothy F Cloughesy; A Gregory Sorensen; Evanthia Galanis; John Degroot; Wolfgang Wick; Mark R Gilbert; Andrew B Lassman; Christina Tsien; Tom Mikkelsen; Eric T Wong; Marc C Chamberlain; Roger Stupp; Kathleen R Lamborn; Michael A Vogelbaum; Martin J van den Bent; Susan M Chang
Journal:  J Clin Oncol       Date:  2010-03-15       Impact factor: 44.544

3.  Immediate post-operative MRI suggestive of the site and timing of glioblastoma recurrence after gross total resection: a retrospective longitudinal preliminary study.

Authors:  Thibault Smets; Tévi Morel Lawson; Cécile Grandin; Aleksandar Jankovski; Christian Raftopoulos
Journal:  Eur Radiol       Date:  2013-01-12       Impact factor: 5.315

4.  Early post-operative MRI: correlation with progression-free survival and overall survival time in malignant gliomas.

Authors:  A Vidiri; C M Carapella; A Pace; A Mirri; A Fabi; M Carosi; D Giannarelli; A Pompili; B Jandolo; E Occhipinti; S Di Giovanni; M Crecco
Journal:  J Exp Clin Cancer Res       Date:  2006-06

5.  Evaluating the prognostic factors effective on the outcome of patients with glioblastoma multiformis: does maximal resection of the tumor lengthen the median survival?

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6.  An extent of resection threshold for newly diagnosed glioblastomas.

Authors:  Nader Sanai; Mei-Yin Polley; Michael W McDermott; Andrew T Parsa; Mitchel S Berger
Journal:  J Neurosurg       Date:  2011-03-18       Impact factor: 5.115

7.  Early-postoperative magnetic resonance imaging in glial tumors: prediction of tumor regrowth and recurrence.

Authors:  Gazanfer Ekinci; Ihsan N Akpinar; Feyyaz Baltacioğlu; Canan Erzen; Türker Kiliç; Ilhan Elmaci; Necmettin Pamir
Journal:  Eur J Radiol       Date:  2003-02       Impact factor: 3.528

8.  Resection and survival in glioblastoma multiforme: an RTOG recursive partitioning analysis of ALA study patients.

Authors:  Uwe Pichlmeier; Andrea Bink; Gabriele Schackert; Walter Stummer
Journal:  Neuro Oncol       Date:  2008-07-30       Impact factor: 12.300

9.  Early postoperative magnetic resonance imaging after resection of malignant glioma: objective evaluation of residual tumor and its influence on regrowth and prognosis.

Authors:  F K Albert; M Forsting; K Sartor; H P Adams; S Kunze
Journal:  Neurosurgery       Date:  1994-01       Impact factor: 4.654

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Authors:  Matthew J McGirt; Kaisorn L Chaichana; Muraya Gathinji; Frank J Attenello; Khoi Than; Alessandro Olivi; Jon D Weingart; Henry Brem; Alf Redo Quiñones-Hinojosa
Journal:  J Neurosurg       Date:  2009-01       Impact factor: 5.115

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  12 in total

1.  Preradiotherapy MR Imaging: A Prospective Pilot Study of the Usefulness of Performing an MR Examination Shortly before Radiation Therapy in Patients with Glioblastoma.

Authors:  C Majós; M Cos; S Castañer; A Pons; M Gil; A Fernández-Coello; M Macià; J Bruna; C Aguilera
Journal:  AJNR Am J Neuroradiol       Date:  2016-09-08       Impact factor: 3.825

2.  Quality improvement in neurology: Neuro-Oncology Quality Measurement Set.

Authors:  Justin T Jordan; Amy E Sanders; Terri Armstrong; Tony Asher; Amy Bennett; Erin Dunbar; Nimish Mohile; P Leia Nghiemphu; Timothy R Smith; Douglas E Ney
Journal:  Neuro Oncol       Date:  2018-03-27       Impact factor: 12.300

Review 3.  Evidence and context of use for contrast enhancement as a surrogate of disease burden and treatment response in malignant glioma.

Authors:  Benjamin M Ellingson; Patrick Y Wen; Timothy F Cloughesy
Journal:  Neuro Oncol       Date:  2018-03-27       Impact factor: 12.300

4.  Increasing FLAIR signal intensity in the postoperative cavity predicts progression in gross-total resected high-grade gliomas.

Authors:  Guan-Min Quan; Yong-Li Zheng; Tao Yuan; Jian-Ming Lei
Journal:  J Neurooncol       Date:  2018-03-21       Impact factor: 4.130

5.  Classical and disease-specific quality indicators in glioma surgery-Development of a quality checklist to improve treatment quality in glioma patients.

Authors:  Christiane Menke; Sebastian Lohmann; Andrea Baehr; Oliver Grauer; Markus Holling; Benjamin Brokinkel; Michael Schwake; Walter Stummer; Stephanie Schipmann
Journal:  Neurooncol Pract       Date:  2021-10-11

6.  Mean apparent diffusion coefficient values in defining radiotherapy planning target volumes in glioblastoma.

Authors:  Daniel Jeong; Christian Malalis; John A Arrington; Aaron S Field; Jung W Choi; Mehmet Kocak
Journal:  Quant Imaging Med Surg       Date:  2015-12

7.  Prediction value of unmeasurable MR enhancement at early stage after gross-total resection on the survival state of patients with high-grade glioma.

Authors:  Guanmin Quan; Yongli Zheng; Jun Chen; Bei Hua; Xiaoli Ji; Kexin Zhang; Duo Gao; Jianming Lei; Tao Yuan
Journal:  J Neurooncol       Date:  2018-09-04       Impact factor: 4.130

8.  New Enhancement beyond Radiation Field Improves Survival Prediction in Patients with Post-Treatment High-Grade Glioma.

Authors:  Tao Yuan; Xiaoli Ji; Yawu Liu; Guodong Gao; Jia-Liang Ren; Deyou Huang; Guanmin Quan
Journal:  J Oncol       Date:  2021-05-05       Impact factor: 4.375

9.  MR Imaging Analysis of Non-Measurable Enhancing Lesions Newly Appearing after Concomitant Chemoradiotherapy in Glioblastoma Patients for Prognosis Prediction.

Authors:  Bo Ram Kim; Seung Hong Choi; Tae Jin Yun; Soon-Tae Lee; Chul-Kee Park; Tae Min Kim; Ji-Hoon Kim; Sun-Won Park; Chul-Ho Sohn; Sung-Hye Park; Il Han Kim
Journal:  PLoS One       Date:  2016-11-11       Impact factor: 3.240

10.  Worse prognosis for IDH wild-type diffuse gliomas with larger residual biological tumor burden.

Authors:  Hiroyuki Tatekawa; Hiroyuki Uetani; Akifumi Hagiwara; Shadfar Bahri; Catalina Raymond; Albert Lai; Timothy F Cloughesy; Phioanh L Nghiemphu; Linda M Liau; Whitney B Pope; Noriko Salamon; Benjamin M Ellingson
Journal:  Ann Nucl Med       Date:  2021-06-14       Impact factor: 2.668

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