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Resonancia magnética de perfusión para diferenciar gliomas de bajo y alto grado en la primera consulta

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Referencias

References to studies included in this review

Cuccarini 2016 {published and unpublished data}

Cuccarini V, Erbetta A, Farinotti M, Cuppini L, Ghielmetti F, Pollo B, et al. Advanced MRI may complement histological diagnosis of lower grade gliomas and help in predicting survival. Journal of Neuro‐oncology 2016;126:279‐88. [DOI: 10.1007/s11060‐015‐1960‐5]CENTRAL

Falk 2014 {published and unpublished data}

Falk A, Fahlström M, Rostrup E, Berntsson S, Zetterling M, Morell A, et al. Discrimination between glioma grades II and III in suspected low‐grade gliomas using dynamic contrast‐enhanced and dynamic susceptibility contrast perfusion MR imaging: a histogram analysis approach. Neuroradiology 2014;56:1031‐8. [DOI: 10.1007/s00234‐014‐1426‐z]CENTRAL

Guzman de Villoria 2014 {published and unpublished data}

Guzmán de Villoria JA, Mateos‐Pérez J, Fernández‐GarcÍa P, Castro E, Desco M. Added value of advanced over conventional magnetic resonance imaging in grading gliomas and other primary brain tumors. Cancer Imaging 2014;14(35):1‐10. [DOI: 10.1186/s40644‐014‐0035‐8]CENTRAL

Koob 2016 {published and unpublished data}

Koob M, Girard N, Ghattas B, Fellah S, Confort‐Gouny S, Figarella‐Branger D, et al. The diagnostic accuracy of multiparametric MRI to determine pediatric brain tumor grades and types. Journal of Neuro‐oncology 2016;127:345‐53. [DOI: 10.1007/s11060‐015‐2042‐4]CENTRAL

Kudo 2016 {published and unpublished data}

Kudo K, Uwano I, Hirai T, Murakami R, Nakamura H, Fujima N, et al. Comparison of different post‐processing algorithms for dynamic susceptibility contrast perfusion imaging of cerebral gliomas. Magnetic Resonance in Medical Sciences : MRMS 2016 [Epub ahead of print];16(2):129‐36. [DOI: 10.2463/mrms.mp.2016‐0036]CENTRAL

Maia 2004 {published and unpublished data}

Maia ACM, Malheiros SMF, Da Rocha AJ, Stávale JN, Guimaraes IF, Borges LRR, et al. Stereotactic biopsy guidance in adults with supratentorial nonenhancing gliomas: role of perfusion‐weighted magnetic resonance imaging. Journal of Neurosurgery 2004;101:970‐6. [DOI: 10.3171/jns.2004.101.6.0970]CENTRAL

Yang 2002 {published data only}

Yang D, Korogi Y, Sugahara T, Kitajima M, Shigematsu Y, Liang L, et al. Cerebral gliomas: prospective comparison of multivoxel 2D chemical‐shift imaging protonMR spectroscopy, echoplanar perfusionand diffusion‐weighted MRI. Neuroradiology 2002;44:656‐66. [DOI: 10.1007/s00234‐002‐0816‐9]CENTRAL

References to studies excluded from this review

Fan 2006 {published data only}

Fan GG, Deng QL, Wu ZH, Guo QY. Usefulness of diffusion/perfusion‐weighted MRI in patients withnon‐enhancing supratentorial brain gliomas: a valuable tool topredict tumour grading?. British Journal of Radiology 2006;79(944):652‐8. [DOI: 10.1259/bjr/25349497]CENTRAL

Gaudino 2010 {published and unpublished data}

Gaudino S, Lorusso VS, Caulo M, Tartaro A, Tartaglione T, Di Lella G, et al. Multimodal MRI and overall diagnostic accuracy in non‐enhancing brain gliomas. Neuroradiology Journal. 2010; Vol. 23:145. CENTRAL

Law 2003 {published data only}

Law M, Yang S, Wang H, Babb JS, Johnson G, Cha S, et al. Glioma grading: sensitivity, specificity, and predictive values of perfusion MR Imaging and Proton MR spectroscopic imaging compared with conventional MR imaging. AJNR. American Journal of Neuroradiology 2003;24(10):1989‐98. [PUBMED: 14625221]CENTRAL

Lev 2004 {published data only}

Lev MH, Ozsunar Y, Henson JW, Rasheed AA, Barest GD, Harsh GR, et al. Glial tumor grading and outcome prediction using dynamic spin‐echo MR susceptibility mapping compared with conventional contrast‐enhanced MR: confounding effect of elevated rCBV of oligodendrogliomas. AJNR. American Journal of Neuroradiology 2004;25(2):214‐21. [PUBMED: 14970020]CENTRAL

Liu 2011 {published data only}

Liu X, Tian W, Kolar B, Yeaney GA, Qiu X, Johnson MD, et al. MR diffusion tensor and perfusion‐weighted imaging in preoperative grading of supratentorial nonenhancing gliomas. Neuro‐oncology 2011;13(4):447‐55. [DOI: 10.1093/neuonc/noq197]CENTRAL

Morita 2010 {published data only}

Morita N, Wang S, Chawla S, Poptani H, Melhem ER. Dynamic susceptibility contrast perfusion weighted imaging in grading of nonenhancing astrocytomas. Journal of Magnetic Resonance Imaging 2010;32:803‐8. [DOI: 10.1002/jmri.22324]CENTRAL

Rollin 2006 {published data only}

Rollin N, Guyotat J, Streichenberger N, Honnorat J, Tran Minh VA, Cotton F. Clinical relevance of diffusion and perfusionmagnetic resonance imaging in assessingintra‐axial brain tumors. Neuroradiology 2006;48:150‐9. [DOI: 10.1007/s00234‐005‐0030‐7]CENTRAL

Romano 2011 {published data only}

Romano A, Coppola V, Cipriani V, Bonamini M, Trasimeni G, Fantozzi LM, et al. Role of fractional anisotropy and RCBV in differential diagnosis between low grade oligodendrogliomas and anaplastic astrocitomas. Neuroradiology. 2011; Vol. 53:S36‐S37. CENTRAL

Sahin 2013 {published data only}

Sahin N, Melhem ER, Wang S, Krejza J, Poptani H, Chawla S, et al. Advanced MR imaging techniques in the evaluation of nonenhancing gliomas: perfusion‐weighted imaging compared with proton magnetic resonance spectroscopy and tumor grade. Neuroradiology 2013;26(5):531–41. [DOI: 10.1177/197140091302600506]CENTRAL

Senturk 2009 {published data only}

Sentürk S, Oğuz KK, Cila A. Dynamic contrast‐enhanced susceptibility‐weighted perfusion imaging of intracranial tumors: a study using a 3T MR scanner. Diagnostic and Interventional Radiology (Ankara, Turkey) 2009;15(1):3‐12. [PUBMED: 19263367]CENTRAL

Sugahara 1998 {published data only}

Sugahara T, Korogi Y, Kochi M, Ikushima I, Hirai T, Okuda T, et al. Correlation of MR imaging‐determined cerebral blood volume maps with histologic and angiographic determination of vascularity of gliomas. AJR. American Journal of Roentgenology 1998;171:1479‐86. [DOI: 10.2214/ajr.171.6.9843274]CENTRAL

Whitmore 2007 {published data only}

Whitmore RG, Krejza J, Kapoor GS, Huse J, Woo JH, Bloom S, et al. Prediction of oligodendroglial tumor subtype and grade usingperfusion weighted magnetic resonance imaging. Journal of Neurosurgery 2007;107:600‐9. [DOI: 10.3171/JNS‐07/09/0600]CENTRAL

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Al‐Okaili RN, Krejza J, Wang S, Woo JH, Melhem ER. Advanced MR imaging techniques in the diagnosis of intraaxial brain tumors in adults. Radiographics 2006;26(Suppl 1):S173‐89. [DOI: 10.1148/rg.26si065513]

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Duffau 2005

Duffau H, Lopes M, Arthuis F, Bitar A, Sichez JP, Van Effenterre R, et al. Contribution of intraoperative electrical stimulations in surgery of low grade gliomas: a comparative study between two series without (1985‐96) and with (1996‐2003) functional mapping in the same institution. Journal of Neurology, Neurosurgery & Psychiatry 2005;76(6):845‐51. [DOI: 10.1136/jnnp.2004.048520]

Essig 2013

Essig M, Shiroishi MS, Nguyen TB, Saake M, Provenzale JM, Enterline D, et al. Perfusion MRI: the five most frequently asked technical questions. AJR. American Journal of Roentgenology 2013;200(1):24–34. [DOI: 10.2214/AJR.12.9543]

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Jakola 2017

Jakola AS, Skjulsvik AJ, Myrmel KS, Sjåvik K, Unsgård G, Torp SH, et al. Surgical resection versus watchful waiting in low‐grade gliomas. Annals of Oncology 2017 Aug 1;28(8):1942‐8. [DOI: 10.1093/annonc/mdx230]

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Louis DN, Perry A, Reifenberger G, von Deimling A, Figarella‐Branger D, Cavenee WK, et al. The 2016 World Health Organization classification of tumors of the central nervous system: a summary. Acta Neuropathologica 2016;131(6):803‐20. [DOI: 10.1007/s00401‐016‐1545‐1]

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Muragaki Y, Chernov M, Maruyama T, Ochiai T, Taira T, Kubo O, et al. Low‐grade glioma on stereotactic biopsy: how often is the diagnosis accurate?. Minimally Invasive Neurosurgery 2008;51(5):275‐9. [DOI: 10.1055/s‐0028‐1082322]

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National Comprehensive Cancer Network. Central Nervous System Cancers (Version 1.2016). https://www.nccn.org/professionals/physician_gls/pdf/cns.pdfAccessed July 2017.

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References to other published versions of this review

Abrigo 2015

Abrigo JM, Tam WWS, Hart MG, Law EKC, Kwong JSW, Provenzale JM. Magnetic resonance perfusion for differentiating low grade from high grade gliomas at first presentation. Cochrane Database of Systematic Reviews 2015, Issue 3. [DOI: 10.1002/14651858.CD011551]

Characteristics of studies

Characteristics of included studies [ordered by study ID]

Cuccarini 2016

Study characteristics

Patient sampling

Prospective, consecutive

Patient characteristics and setting

The study reported 89 patients with suspected LGGs with absent or faint enhancement, mean age 39.6 ± 12.6 y.o., in a neurological institute in Italy, between 2006 and 2009.
The author provided individual data on 48 patients with solid and non‐enhancing gliomas which were selected for the review.

Index tests

DSC MR perfusion (Max rCBV)

Pre‐specified rCBV threshold: 1.5

Study‐determined rCBV threshold: 1.29

Target condition and reference standard(s)

Resection

Flow and timing

Interval period between MR perfusion and resection: 1‐45 days

Comparative

MR perfusion acquisition and analysis

1.5 T MRI scanner

Use of contrast preload: N/A

Post‐processing algorithm: Arterial input function (unpublished information, confirmed by authors)

3 ROI placed on areas of maximal CBV and normalised with an identical ROI positioned on the contralateral healthy white matter

Notes

The author provided individual patient data and clarification of study method.

Methodological quality

Item

Authors' judgement

Risk of bias

Applicability concerns

DOMAIN 1: Patient Selection

Was a consecutive or random sample of patients enrolled?

Yes

Was a case‐control design avoided?

Yes

Did the study avoid inappropriate exclusions?

Yes

Did the study avoid inappropriate inclusions?

Yes

Low

Low

DOMAIN 2: Index Test All tests

If a threshold was used, was it pre‐specified?

Yes

Were the index test results interpreted without knowledge of the results of the reference standard?

Yes

Low

Low

DOMAIN 3: Reference Standard

Is the reference standards likely to correctly classify the target condition?

Yes

Were the reference standard results interpreted without knowledge of the results of the index tests?

Yes

Was tumour grading based on histopathological assessment or WHO criteria only?

Yes

Low

Low

DOMAIN 4: Flow and Timing

Was there an appropriate interval between index test and reference standard?

Yes

Did all patients receive the same reference standard?

Yes

Were all patients included in the analysis?

Yes

Low

Falk 2014

Study characteristics

Patient sampling

Prospective, consecutive

Patient characteristics and setting

The study reported 25 adults with non‐ and minimally enhancing radiologically suspected LGGs, 22‐70 y.o., in a university hospital in Sweden from May 2010 and November 2012.
The author provided individual data on 20 patients with solid and non‐enhancing gliomas. After excluding patients with >2‐month interval period between MR perfusion and histology, 13 patients were selected for the review.

Index tests

DSC MR perfusion: single shot gradient‐echo EPI (Mean CBV, CBF, kapp)

DCE MR perfusion (Mean CBV, CBF, ktrans), performed prior to DSC MR perfusion

Pre‐specified rCBV/Ktrans threshold: None

Study‐determined rCBV/Ktrans threshold: None

Target condition and reference standard(s)

Resection (N = 15), Biopsy (N = 5)

Flow and timing

Interval period between MR perfusion and resection: <1 ‐ 10 months

Comparative

MR perfusion acquisition and analysis

3 T MRI scanner

Use of contrast preload: Yes (as DCE MR perfusion)

Post‐processing algorithm: Arterial input function
ROI placed in tumour and normal appearing white matter in lobe contralateral to tumour and histogram parameters (mean, median, skewness, etc.) obtained

Notes

The author provided individual patient data and clarification of study method.

Methodological quality

Item

Authors' judgement

Risk of bias

Applicability concerns

DOMAIN 1: Patient Selection

Was a consecutive or random sample of patients enrolled?

Yes

Was a case‐control design avoided?

Yes

Did the study avoid inappropriate exclusions?

Yes

Did the study avoid inappropriate inclusions?

Yes

Low

Low

DOMAIN 2: Index Test All tests

If a threshold was used, was it pre‐specified?

No

Were the index test results interpreted without knowledge of the results of the reference standard?

Yes

High

Low

DOMAIN 3: Reference Standard

Is the reference standards likely to correctly classify the target condition?

Yes

Were the reference standard results interpreted without knowledge of the results of the index tests?

Yes

Was tumour grading based on histopathological assessment or WHO criteria only?

Yes

Low

Low

DOMAIN 4: Flow and Timing

Was there an appropriate interval between index test and reference standard?

Yes

Did all patients receive the same reference standard?

Yes

Were all patients included in the analysis?

Yes

Low

Guzman de Villoria 2014

Study characteristics

Patient sampling

Prospective, consecutive

Patient characteristics and setting

The study reported 129 patients with primary brain tumours, 11‐84 y.o., in a university hospital in Spain, from Feb 2004 ‐ April 2009.
The author provided individual data on 18 solid and non‐enhancing gliomas. After excluding patients with >2‐month interval period between MR perfusion and histology, 16 patients were selected for the review.

Index tests

DSC MR perfusion: single shot gradient‐echo EPI (Mean rCBV)

Pre‐specified rCBV threshold: None

Study‐determined rCBV threshold: None

Target condition and reference standard(s)

Resection (N = 15), Biopsy (N = 3)

Flow and timing

Interval period between MR perfusion and biopsy/resection: 5‐103 days

Comparative

MR perfusion acquisition and analysis

1.5 T MRI scanner

Use of contrast preload: No

Post‐processing algorithm: Gamma variate function
ROI centred on highest tumour rCBV value, drawn as large as possible to include all voxels with highest and similar values of rCBV, normalised to contralateral NAWM.

Notes

The author provided individual patient data and clarification of study method.

Methodological quality

Item

Authors' judgement

Risk of bias

Applicability concerns

DOMAIN 1: Patient Selection

Was a consecutive or random sample of patients enrolled?

Yes

Was a case‐control design avoided?

Yes

Did the study avoid inappropriate exclusions?

Yes

Did the study avoid inappropriate inclusions?

Yes

Low

Low

DOMAIN 2: Index Test All tests

If a threshold was used, was it pre‐specified?

No

Were the index test results interpreted without knowledge of the results of the reference standard?

Yes

High

Low

DOMAIN 3: Reference Standard

Is the reference standards likely to correctly classify the target condition?

Yes

Were the reference standard results interpreted without knowledge of the results of the index tests?

Yes

Was tumour grading based on histopathological assessment or WHO criteria only?

Yes

Low

Low

DOMAIN 4: Flow and Timing

Was there an appropriate interval between index test and reference standard?

Yes

Did all patients receive the same reference standard?

Yes

Were all patients included in the analysis?

Yes

Low

Koob 2016

Study characteristics

Patient sampling

Retrospective, consecutive

Patient characteristics and setting

The study reported 169 patients with brain tumour, 1‐18 y.o., in a university hospital in France, from Oct 2006 to Apr 2013.

The author provided individual data on 4 patients with solid and non‐enhancing gliomas which were selected for the review.

Index tests

DSC MR perfusion: gradient echo EPI (Max rCBV)

Pre‐specified rCBV threshold: None

Study‐determined rCBV threshold: None

Target condition and reference standard(s)

Resection and biopsy (not specified per case)

Flow and timing

Interval period between MR perfusion and biopsy/resection: 1 week

Comparative

MR perfusion acquisition and analysis

1.5 T MRI scanner

Use of contrast preload: No

Post‐processing algorithm: Arterial input function
5‐10 ROIs placed in areas of maximal rCBV normalised to ROI in contralateral NAWM or cerebellar GM for posterior fossa tumours

Notes

The author provided individual patient data.

Methodological quality

Item

Authors' judgement

Risk of bias

Applicability concerns

DOMAIN 1: Patient Selection

Was a consecutive or random sample of patients enrolled?

Yes

Was a case‐control design avoided?

Yes

Did the study avoid inappropriate exclusions?

No

Did the study avoid inappropriate inclusions?

Yes

High

Low

DOMAIN 2: Index Test All tests

If a threshold was used, was it pre‐specified?

No

Were the index test results interpreted without knowledge of the results of the reference standard?

Yes

High

Low

DOMAIN 3: Reference Standard

Is the reference standards likely to correctly classify the target condition?

Unclear

Were the reference standard results interpreted without knowledge of the results of the index tests?

Unclear

Was tumour grading based on histopathological assessment or WHO criteria only?

Yes

High

High

DOMAIN 4: Flow and Timing

Was there an appropriate interval between index test and reference standard?

Yes

Did all patients receive the same reference standard?

Yes

Were all patients included in the analysis?

Yes

Low

Kudo 2016

Study characteristics

Patient sampling

Prospective, consecutive

Patient characteristics and setting

The study reported 35 patients with WHO Grade II‐IV gliomas, 8‐91y.o., in a university hospital in Japan, from May 2009 to June 2013.
The authors provided individual data on 9 patients with solid and non‐enhancing gliomas which were selected for the review.

Index tests

DSC MR perfusion: gradient echo EPI (Max rCBV)

Pre‐specified rCBV threshold: None

Study‐determined rCBV threshold: 5.66

Target condition and reference standard(s)

Resection in majority (unpublished data, confirmed by authors)

Flow and timing

Interval period between MR perfusion and resection: Within 2 weeks (unpublished data, confirmed by authors)

Comparative

MR perfusion acquisition and analysis

3 T MRI scanner

Use of contrast preload: Yes

Post‐processing algorithm: Arterial input function
>2 ROIs (diameter of 2 mm) placed in high CBV area of the tumour, and 10 ROIs of the same diameter in the contralateral, normal white matter

Notes

The author provided individual patient data and clarification of study method.

Methodological quality

Item

Authors' judgement

Risk of bias

Applicability concerns

DOMAIN 1: Patient Selection

Was a consecutive or random sample of patients enrolled?

Yes

Was a case‐control design avoided?

Yes

Did the study avoid inappropriate exclusions?

Yes

Did the study avoid inappropriate inclusions?

Yes

Low

Low

DOMAIN 2: Index Test All tests

If a threshold was used, was it pre‐specified?

No

Were the index test results interpreted without knowledge of the results of the reference standard?

Yes

High

Low

DOMAIN 3: Reference Standard

Is the reference standards likely to correctly classify the target condition?

Yes

Were the reference standard results interpreted without knowledge of the results of the index tests?

Yes

Was tumour grading based on histopathological assessment or WHO criteria only?

Yes

Low

Low

DOMAIN 4: Flow and Timing

Was there an appropriate interval between index test and reference standard?

Yes

Did all patients receive the same reference standard?

Yes

Were all patients included in the analysis?

Yes

Low

Maia 2004

Study characteristics

Patient sampling

Prospective, consecutive

Patient characteristics and setting

The study reported individual data on 21 adults with suspected supratentorial nonenhancing LGG, 23‐60 y.o., in a university hospital in Brazil, from Feb 2001‐2004.
All patients selected for the review.

Index tests

DSC MR perfusion: spin‐echo EPI (Mean rCBV for homogeneous tumour, Max rCBV for heterogeneous tumour)

Pre‐specified rCBV threshold: None

Study‐determined rCBV threshold: None for LGG vs HGG (1.2 for differentiating diffuse astrocytoma histology subtype)

Target condition and reference standard(s)

Resection

Flow and timing

Interval period between MR perfusion and resection: 2 days (unpublished data, confirmed by author)

Comparative

MR perfusion acquisition and analysis

1.5 T MRI scanner

Use of contrast preload: No

Post‐processing algorithm: Gamma variate function
6 ROI in tumour and ROI in normal contralateral white matter

Notes

The author provided clarification of study method.

Methodological quality

Item

Authors' judgement

Risk of bias

Applicability concerns

DOMAIN 1: Patient Selection

Was a consecutive or random sample of patients enrolled?

Yes

Was a case‐control design avoided?

Yes

Did the study avoid inappropriate exclusions?

Yes

Did the study avoid inappropriate inclusions?

Yes

Low

Low

DOMAIN 2: Index Test All tests

If a threshold was used, was it pre‐specified?

No

Were the index test results interpreted without knowledge of the results of the reference standard?

Yes

High

Low

DOMAIN 3: Reference Standard

Is the reference standards likely to correctly classify the target condition?

Yes

Were the reference standard results interpreted without knowledge of the results of the index tests?

Yes

Was tumour grading based on histopathological assessment or WHO criteria only?

Yes

Low

Low

DOMAIN 4: Flow and Timing

Was there an appropriate interval between index test and reference standard?

Yes

Did all patients receive the same reference standard?

Yes

Were all patients included in the analysis?

Yes

Low

Yang 2002

Study characteristics

Patient sampling

Prospective, patient sampling not reported

Patient characteristics and setting

The study reported individual data on 17 patients with supratentorial gliomas, 14‐67 y.o., in a university hospital in Japan.
4 patients were selected for the review.

Index tests

DSC MR perfusion: gradient echo EPI (Max rCBV)

Pre‐specified rCBV threshold: None

Study‐determined rCBV threshold: None

Target condition and reference standard(s)

Resection (N = 14), Biopsy (N = 3)

Flow and timing

Interval period between MR perfusion and biopsy/resection: within 10 days

Comparative

MR perfusion acquisition and analysis

1.5 T MRI scanner

Use of contrast preload: No

Post‐processing algorithm: Area under the curve
5 ROI >20 pixels placed in tumour and contralateral white matter

Notes

Methodological quality

Item

Authors' judgement

Risk of bias

Applicability concerns

DOMAIN 1: Patient Selection

Was a consecutive or random sample of patients enrolled?

Unclear

Was a case‐control design avoided?

Yes

Did the study avoid inappropriate exclusions?

Yes

Did the study avoid inappropriate inclusions?

Yes

High

Low

DOMAIN 2: Index Test All tests

If a threshold was used, was it pre‐specified?

No

Were the index test results interpreted without knowledge of the results of the reference standard?

Unclear

High

Low

DOMAIN 3: Reference Standard

Is the reference standards likely to correctly classify the target condition?

Yes

Were the reference standard results interpreted without knowledge of the results of the index tests?

Unclear

Was tumour grading based on histopathological assessment or WHO criteria only?

Yes

High

Low

DOMAIN 4: Flow and Timing

Was there an appropriate interval between index test and reference standard?

Yes

Did all patients receive the same reference standard?

Yes

Were all patients included in the analysis?

Yes

Low

CBF: cerebral blood flow, CBV: cerebral blood volume, DCE: dynamic contrast‐enhanced, DSC: dynamic susceptibility, EPI: Echo planar images, HGG: high‐grade gliomas, LGG: low‐grade gliomas, MR: magnetic resonance, MRI: magnetic resonance imaging, rCBV: CBV ratio of tumour, ROI: region of interest, y.o.: years old.

Characteristics of excluded studies [ordered by study ID]

Study

Reason for exclusion

Fan 2006

Unclear/long interval period between index test and reference test

Gaudino 2010

Unclear/long interval period between index test and reference test

Law 2003

Unable to select solid and non‐enhancing gliomas

Lev 2004

Unclear/long period between index test and reference test

Liu 2011

Unclear/long period between index test and reference test

Morita 2010

No 2 x 2 table can be derived

Rollin 2006

Insufficient sample (no solid non‐enhancing HGGs)

Romano 2011

Unclear/long interval period between index test and reference test

Sahin 2013

Unclear/long period between index test and reference test

Senturk 2009

Insufficient sample (no solid non‐enhancing HGGs)

Sugahara 1998

Unable to select solid and non‐enhancing gliomas

Whitmore 2007

Unclear/long interval period between index test and reference test

HGG: high‐grade gliomas

Data

Presented below are all the data for all of the tests entered into the review.

Open in table viewer
Tests. Data tables by test

Test

No. of studies

No. of participants

1 rCBV ‐ Law Threshold Show forest plot

7

115


rCBV ‐ Law Threshold.

rCBV ‐ Law Threshold.

Diagram shows the clinical management algorithm for patients with infiltrative glioma. The role of the index test (MRP) for differentiating LGGs and HGGs at first presentation is shown with alternative tests (MRS, DWI, PET). These advanced MRI techniques are also used to identify progression or recurrence during interval scanning and are included, although they are outside the scope of this review. *May or may not be offered, depending on institutional/regional practice.Abbreviations: LGG: Low‐grade glioma, HGG: High‐grade glioma,MRP: Magnetic resonance perfusion, MRS: magnetic resonance spectroscopy, DWI: Diffusion‐weighted imaging, PET: Positron emission tomography
Figuras y tablas -
Figure 1

Diagram shows the clinical management algorithm for patients with infiltrative glioma. The role of the index test (MRP) for differentiating LGGs and HGGs at first presentation is shown with alternative tests (MRS, DWI, PET). These advanced MRI techniques are also used to identify progression or recurrence during interval scanning and are included, although they are outside the scope of this review. *May or may not be offered, depending on institutional/regional practice.

Abbreviations: LGG: Low‐grade glioma, HGG: High‐grade glioma,MRP: Magnetic resonance perfusion, MRS: magnetic resonance spectroscopy, DWI: Diffusion‐weighted imaging, PET: Positron emission tomography

Flow diagram.
Figuras y tablas -
Figure 2

Flow diagram.

Risk of bias and applicability concerns summary: review authors' judgements about each domain for each included study using QUADAS 2 tool, applied on study design and included patient data
Figuras y tablas -
Figure 3

Risk of bias and applicability concerns summary: review authors' judgements about each domain for each included study using QUADAS 2 tool, applied on study design and included patient data

Risk of bias and applicability concerns graph: review authors' judgements about each domain presented as percentages across included studies
Figuras y tablas -
Figure 4

Risk of bias and applicability concerns graph: review authors' judgements about each domain presented as percentages across included studies

Coupled forest plots of included studies using rCBV threshold of < 1.75 for differentiating low grade gliomas from high‐grade gliomas.
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Figure 5

Coupled forest plots of included studies using rCBV threshold of < 1.75 for differentiating low grade gliomas from high‐grade gliomas.

Summary ROC Plot of DSC MR perfusion using rCBV threshold of 1.75 for differentiating low grade gliomas from high‐grade gliomas. In this review, a positive test or rCBV < 1.75 implied an LGG diagnosis, while a negative test or rCBV > 1.75 suggested an HGG diagnosis. In the SROC plot, each study is represented by an open circle with emanating lines, representing the sensitivity and specificity with their confidence intervals. The size of the open circle is proportional to the study sample size. The shaded circle represents the pooled sensitivity and specificity surrounded by a 95% confidence ellipse (dotted line), which in this case is 0.830 (95% CI 0.657, 0.926) and 0.479 (95% CI 0.086, 0.900), respectively.
Figuras y tablas -
Figure 6

Summary ROC Plot of DSC MR perfusion using rCBV threshold of 1.75 for differentiating low grade gliomas from high‐grade gliomas. In this review, a positive test or rCBV < 1.75 implied an LGG diagnosis, while a negative test or rCBV > 1.75 suggested an HGG diagnosis. In the SROC plot, each study is represented by an open circle with emanating lines, representing the sensitivity and specificity with their confidence intervals. The size of the open circle is proportional to the study sample size. The shaded circle represents the pooled sensitivity and specificity surrounded by a 95% confidence ellipse (dotted line), which in this case is 0.830 (95% CI 0.657, 0.926) and 0.479 (95% CI 0.086, 0.900), respectively.

rCBV ‐ Law Threshold.
Figuras y tablas -
Test 1

rCBV ‐ Law Threshold.

Summary of findings Summary of findings table

Population

Almost all adults

Setting

Mostly university hospitals, employing exclusively 1.5T or 3T MRI scanners

Index test

Dynamic susceptibility contrast MR perfusion (commonly gradient echo rather than spin echo sequence acquisition), usually without contrast preload, typically using arterial input function or gamma variate function post‐processing algorithms, and preferentially using region‐of‐interest method to obtain Max rCBV values (CBV ratio of tumour: contralateral normal appearing white matter)

Importance

For solid and non‐enhancing brain tumours with low rCBV, patients with no or little neurologic deficit may opt for conservative management over surgery to avoid early neurologic disability. Meanwhile, patients with high rCBV could favour early treatment for better tumour control.

Reference standard

All with histologic examinations, majority with resection.

Studies

Mostly prospective cross sectional studies (no case‐control studies)

Positive Test

Summary accuracy
(95% CI) using bivariate model

No. of study participants / selected patients
(No. of studies)

Prevalence

Implications

Quality of studies
(Based on QUADAS‐2 applied on study design and selected patients)

Comments

rCBV threshold <1.75 indicates LGG

Sensitivity

(proportion of LGG detected by MR perfusion)

0.83

(0.66, 0.93)

Specificity

(proportion of HGG detected by MR perfusion)

0.48

(0.09 to 0.90)

392 patients /

115 with solid non‐enhancing Grade II‐IV gliomas who underwent tissue sampling within 2 months of MR perfusion

(7 studies)

In a hypothetical population of solid and non‐enhancing Grade II‐IV gliomas, the prevalence of LGGs and HGGs is 72% and 28%, respectively.

Given 100 patients with solid and non‐enhancing infiltrative gliomas, 72 will have LGG and 28 with HGG.

Of 72 patients with LGG, it is expected 12 patients will be misclassified to have HGG (but this could potentially be between 5 to 24 patients) and may undergo surgery, thus risking early neurologic deterioration. Meanwhile, of 28 patients with HGG, 15 will be misclassified to have LGG (but this could be between 3 to 25 patients), which may lead to a delay in treatment that can potentially adversely affect outcomes.

Generally low risk of bias in the patient selection domain, excepting 2 out of 7 studies with unclear patient sampling and inappropriate exclusion of small tumours.

High risk of bias in the index test domain, mainly because 6 out of 7 studies did not use a pre‐specified threshold. However this did not affect meta‐analysis as we used a common rCBV threshold of 1.75.
Generally low risk of bias in the reference standard domain, excepting 2 out of 7 studies with unclear method of histologic confirmation and/or presence of blinding.
Low risk of bias in the flow and timing domain.

Low concerns of applicability for the patient selection, index test and reference standard domains by using patient‐level data.

Low numbers (4 to 48) with target and alternative conditions per study and only 2 studies had >20 patients.

In general, individual studies had heterogeneous sensitivity and specificity, both with wide confidence intervals.

Only 1 study had low risk of bias and low concern of applicability across all domains.

Five studies were considered good quality (i.e., with low risk of bias in the domains of reference standard and flow & timing). Their sensitivity analysis yielded sensitivity 0.80 (95% CI 0.61 to 0.91) and specificity 0.67 (95% CI 0.07 to 0.98).

Subgroup analysis showed sensitivity/specificity of [0.92 (95% CI 0.55 to 0.99)/ 0.42 (95% CI 0.02 to 0.95) in astrocytomas and 0.77 (95% CI 0.46 to 0.93)/0.53 (95% CI 0.14 to 0.88) in oligodendrogliomas + oligoastrocytomas.

Data were too sparse to investigate any differences across subgroups.

HGG: high‐grade glioma, LGG: low‐grade glioma, rCBV: relative cerebral blood volume

Figuras y tablas -
Summary of findings Summary of findings table
Table 1. World Health Organization (WHO) Grading of Brain Tumors*

WHO Grade

Tumour histology

I**

Pilocytic astrocytoma

Subependymal giant cell astrocytoma

Pleomorphic xanthoastrocytoma

Ganglioglioma

Ependymoma

II

Diffuse astrocytoma

Oligodendroglioma

Oligoastrocytoma

III

Anaplastic astrocytoma

Anaplastic oligodendroglioma

Anaplastic oligoastrocytoma

IV

Glioblastoma multiforme

Gliomatosis cerebri

* Partial listing and specific to the tumour histology types relevant to this review.

**These tumours are included in this table for reference only and are not part of the review.

Figuras y tablas -
Table 1. World Health Organization (WHO) Grading of Brain Tumors*
Table 2. rCBV per tumour grade and per tumour histology

Included studies

LGG

(Grade II)

HGG

(Grade III+IV)

DA

OA

OG

AA

AOA

AOG

Cuccarini 2016

1.15 ± 0.95

1.18 + 0.8

1.19 ± 0.76

1.12 ± 1.13

1.22 ± 0.57

1.15 ± 0.53

1.33 ± 0.98

Falk 2014

1.30 + 0.48

1.76 + 0.93

1.48 + 0.69

1.20 + 0.21

1.19 + 0.32

2.22 + 1.18

0.86

1.76

Guzman de Villoria 2014

1.07 + 0.79

0.75

0.98 + 0.29

1.24 ±1.33

0.75

Koob 2016

0.8 + 0.04

0.8 + 0.6

[0.77]

0.82

[0.41]

1.28

Kudo 2016

3.1 ± 1.19

3.83 ± 2.34

2.31 ±1.23

3.88 ±.46

3.8 + 2.3

Maia 2004

1.16 ± 0.63

3.2 ± 0.35

0.9 ±.43

1.98 ± 0.57

1.27

3.24 ± 0.37

2.99

Yang 2002

1.29 ± 0.17

1.76 ± 0.08

1.29 ± 0.17

1.81

1.7

LGG: Low‐grade glioma, HGG: high‐grade glioma, DA: diffuse astrocytoma, OA: oligoastrocytoma, OG: oligodendroglioma, AA: anaplastic astrocytoma, AOA: Anaplastic oligoastrocytoma, AOG: anaplastic oligodendroglioma.

Nearly all HGGs are Grade III, except for one case of Grade IV/glioblastoma from Cuccarini 2016, with rCBV of 0.3. Bracketed values in Koob 2016 are included for completion but represent unspecified gliomas, with no reported histology.

Figuras y tablas -
Table 2. rCBV per tumour grade and per tumour histology
Table Tests. Data tables by test

Test

No. of studies

No. of participants

1 rCBV ‐ Law Threshold Show forest plot

7

115

Figuras y tablas -
Table Tests. Data tables by test