Skip to main content
Advertisement

Main menu

  • Home
  • Content
    • Current Issue
    • Accepted Manuscripts
    • Article Preview
    • Past Issue Archive
    • AJNR Case Collection
    • Case of the Week Archive
    • Classic Case Archive
    • Case of the Month Archive
  • Special Collections
    • Spinal CSF Leak Articles (Jan 2020-June 2024)
    • 2024 AJNR Journal Awards
    • Most Impactful AJNR Articles
  • Multimedia
    • AJNR Podcast
    • AJNR Scantastics
    • Video Articles
  • For Authors
    • Submit a Manuscript
    • Author Policies
    • Fast publishing of Accepted Manuscripts
    • Graphical Abstract Preparation
    • Manuscript Submission Guidelines
    • Imaging Protocol Submission
    • Submit a Case for the Case Collection
  • About Us
    • About AJNR
    • Editorial Board
  • More
    • Become a Reviewer/Academy of Reviewers
    • Subscribers
    • Permissions
    • Alerts
    • Feedback
    • Advertisers
    • ASNR Home
  • Other Publications
    • ajnr

User menu

  • Alerts
  • Log in

Search

  • Advanced search
American Journal of Neuroradiology
American Journal of Neuroradiology

American Journal of Neuroradiology

ASHNR American Society of Functional Neuroradiology ASHNR American Society of Pediatric Neuroradiology ASSR
  • Alerts
  • Log in

Advanced Search

  • Home
  • Content
    • Current Issue
    • Accepted Manuscripts
    • Article Preview
    • Past Issue Archive
    • AJNR Case Collection
    • Case of the Week Archive
    • Classic Case Archive
    • Case of the Month Archive
  • Special Collections
    • Spinal CSF Leak Articles (Jan 2020-June 2024)
    • 2024 AJNR Journal Awards
    • Most Impactful AJNR Articles
  • Multimedia
    • AJNR Podcast
    • AJNR Scantastics
    • Video Articles
  • For Authors
    • Submit a Manuscript
    • Author Policies
    • Fast publishing of Accepted Manuscripts
    • Graphical Abstract Preparation
    • Manuscript Submission Guidelines
    • Imaging Protocol Submission
    • Submit a Case for the Case Collection
  • About Us
    • About AJNR
    • Editorial Board
  • More
    • Become a Reviewer/Academy of Reviewers
    • Subscribers
    • Permissions
    • Alerts
    • Feedback
    • Advertisers
    • ASNR Home
  • Follow AJNR on Twitter
  • Visit AJNR on Facebook
  • Follow AJNR on Instagram
  • Join AJNR on LinkedIn
  • RSS Feeds

Welcome to the new AJNR, Updated Hall of Fame, and more. Read the full announcements.


AJNR is seeking candidates for the position of Associate Section Editor, AJNR Case Collection. Read the full announcement.

 

OtherREVIEW ARTICLES

Brain Tumor Imaging in Clinical Trials

J.W. Henson, S. Ulmer and G.J. Harris
American Journal of Neuroradiology March 2008, 29 (3) 419-424; DOI: https://doi.org/10.3174/ajnr.A0963
J.W. Henson
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
S. Ulmer
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
G.J. Harris
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • Article
  • Figures & Data
  • Info & Metrics
  • Responses
  • References
  • PDF
Loading

Abstract

SUMMARY: There are substantial challenges in the radiologic evaluation of tumor size during clinical trials, and it is important for neuroradiologists to have a firm understanding of these issues. This review will examine measurement approaches, response criteria, selection of lesions for measurement, technical imaging considerations, interval between tumor measurements and response confirmation, and validity of imaging as a measure of efficacy.

Enormous effort has been invested in clinical trials for malignant gliomas and brain metastases during the past 30 years. Phase I and phase III studies, with their respective goals of defining maximal tolerated dose and overall survival, do not rely on neuroimaging as a primary end point. Imaging is crucial in phase II studies, however, because radiographic response, in combination with clinical status, is used to assess therapeutic effect.1 Phase II studies are usually conducted in patients with progressive tumors, and serial imaging examinations are performed after initiation of treatment and compared with a baseline pretreatment study. Radiographic response for each patient is then assigned according to predetermined criteria.

Neuroradiologists should have a firm understanding of the issues involved in imaging brain tumors in clinical trials, not only with respect to review of quantitative imaging but also to assist in the optimal use of imaging in trial design.

Measurement Techniques

Two major approaches are available for the evaluation of contrast-enhancing tumor size on serial imaging studies during clinical trials: 1) diameter-based measurement on a single-axial section containing the largest diameter of tumor, and 2) computer-assisted volumetric analysis of all sections containing tumor.

Diameter Methods

Diameter-based approaches involve the measurement of either a single largest diameter (1D or Response Evaluation Criteria in Solid Tumors [RECIST; http://ctep.cancer.gov/guidelines/recist.html]) or 2 orthogonal diameters (2D or Macdonald criteria) on a single axial section (Fig 1).2–4

Fig 1.
  • Download figure
  • Open in new tab
  • Download powerpoint
Fig 1.

Three enhancing foci in a patient with glioblastoma illustrate issues with lesion measurement during clinical trials. Lesion A is homogeneously enhancing and exceeds 10 mm in diameter and thus is ideal for serial measurement by RECIST or 1D (lower left), Macdonald or 2D (lower right), and volumetric (upper right) approaches. Lesion B is predominantly necrotic and is amenable to volumetric measurement (upper right) because the enhancing and nonenhancing components can be segmented. Lesion C is too small in diameter (8 mm) for accurate serial measurement and should be followed as a nonmeasurable lesion (see text). Images are postgadolinium contrast-enhanced axial T1-weighted.

RECIST (1D).

Imaging response guidelines called RECIST were published in 2000 to replace the 1981 World Health Organization (WHO) guidelines.2,3 The new criteria were designed as a uniform, simplified, and conservative standard to determine response to therapy for solid tumors. RECIST has not been widely adopted for clinical trials involving brain tumors, mainly because of the historic use of 2D criteria (see below).

RECIST measures the longest single linear enhancing diameter across a lesion in the axial plane (Fig 1). This measurement is repeated with each study, always by using the longest diameter, even if it varies from the original orientation or section. Minimal measurable lesion diameter is 10 mm or at least 2 times the imaging section thickness, to reduce the variability due to volume averaging and variations in section selection between studies. Cystic or necrotic foci of tumor and leptomeningeal lesions are considered nonmeasurable according to the written criteria. When multiple lesions are analyzed, the individual diameter measurements are recorded separately and then summed for response evaluation. RECIST response criteria are described below (see “Response Criteria”).

Macdonald Criteria (2D).

Most trials for patients with malignant gliomas use the WHO-based “Macdonald criteria.”4 A measurement is made of the maximal enhancing tumor diameter on a single axial gadolinium-enhanced T1-weighted section, and then the largest perpendicular diameter is measured on the same image (Fig 1). The product of the 2 diameters is calculated, and the measurements are repeated with each scan. Measurements from multiple lesions are summed. The Macdonald criteria do not specifically address the presence of necrotic portions of lesions. Macdonald response criteria are discussed below.

Computer-Aided Volumetric Methods

In the computer-aided volumetric or perimeter approach, semiautomated tumor-segmentation software is used to determine the tumor volume. The computer generates a border between the enhancing and nonenhancing regions on all axial sections that contain enhancing tumor (Fig 1), by using a combination of image processing techniques such as histogram statistics and morphologic filtering. These images are reviewed, the perimeters are adjusted by a neuroradiologist, and the program calculates an enhancing volume, a nonenhancing volume (ie, the centrally necrotic or cystic portion), and total or combined lesion volume in cubic centimeters by adding the lesion volumes from the stack of images.

Response Criteria

Once serial studies become available for lesion measurement during a clinical trial, the following terms are used to describe responses. The specific numeric values for each of these categories are given in the Table.

View this table:
  • View inline
  • View popup

Comparison of response criteria for different measurement approaches

Complete Response.

Complete response (CR) is the disappearance of all enhancing tumor, including measurable and nonmeasurable areas. CR should be confirmed with a repeat study at 4 weeks.

Partial Response.

Partial response (PR) is a specified percentage decrease in the tumor measurement compared with the baseline scan (Table). PR should be confirmed with a repeat study at 4 weeks.

Stable Disease.

Stable disease (SD) includes changes that do not meet criteria for CR, PR, or progressive disease (PD).

Progressive Disease.

PD is a specified percentage increase in tumor measurement compared with the lesion size that defines the nadir, or smallest measurement, in the serial studies. PD should be confirmed with a repeat study at 4 weeks. Any unequivocally new lesion is also a criterion for PD. Criteria for new lesions should be defined by protocol.

Best Response.

Best response is the largest reduction in tumor measurement during the study (compared with the initial response). Best response may differ from initial response in patients with PR followed by a CR.

With diameter approaches, CR and PR were seen in approximately 10% of patients in clinical trials for newly diagnosed malignant gliomas5 and in 1%–10% of patients with progressive disease.6,7 The criteria for measurement was not well delineated in these studies. Given this low response rate and the fact that cytostatic therapies would not be expected to produce tumor shrinkage, some studies used the duration of SD as a measure of response, by means of either time to progression (TTP) or progression-free survival (PFS).1

TTP.

TTP is the interval between the treatment start date and a subsequent imaging study that shows PD.

PFS.

PFS is the percentage of patients who have not experienced PD at a specified time point after beginning treatment (eg, 2-month PFS or 6-month PFS).

A common end point for phase II clinical trials is 6-month PFS. Phase II studies compare the percentage of patients with PFS to that of an historical control group. There are significant issues with the use of PFS in a phase II study, however, because it is difficult to identify an appropriate control group or to determine what constitutes a meaningful improvement over the historical comparison group. Most studies seek to demonstrate a response rate (CR + PR) of 20% or a 20% improvement of a measure of response over a historical comparison population.8

To our knowledge, correlations between quantitative parameters of response criteria between 1D (RECIST), 2D (Macdonald), and a volumetric approach have not been closely examined. The Table provides a theoretic comparison based on an idealized spheric tumor. Some investigators have used a straight percentage-change approach, such that 50% reduction is used for volume (3D) as in the area (2D or Macdonald) criteria. Another approach would be to use mathematic extrapolation between linear and volumetric measurements, such that a 50% decrease in area (2D) would be equal to a 65% decrease in volume (3D) for a PR. These issues can have an impact on the stringency of criteria for PR and PD. Further research regarding the range of deviation of tumors from the idealized spheric shape will be necessary to determine the best values for most accurate response rate comparisons, and validation of each approach will be important. Nonetheless, several retrospective studies have compared these measurement approaches.

Comparison of Diameter and Volumetric Approaches

Diameter approaches are simple to perform and have reasonably low inter-reader variation.7 However, the use of a linear measurement on a single-axial image ignores the tendency of malignant gliomas to be highly irregular in shape, to progress in a pattern of eccentric nodular growth, and to have cystic and central necrotic areas that are unlikely to be affected by nonsurgical treatment.

Volumetric approaches analyze the entire tumor by using multiple sections and have the ability to exclude nonenhancing areas. Measurement variation is low.9 In many patients with malignant gliomas, irregular peripheral enhancement and extension along the subependymal regions can make it very challenging to outline an enhancing volume. Two other issues with the volumetric approach are investment of time and the need for specialized technical skills and computer software.

At least 4 retrospective studies have compared diameter and volumetric approaches for the detection of response in neuro-oncology clinical trials.5,7,9,10 Three of these articles concluded that there was no difference in the detection of response, as defined either by reduction in tumor size by a specified amount or by TTP (see the discussion of response criteria, below). Sorenson et al9 found that computer-aided volumetric analysis was more sensitive in the early detection of progression, especially with smaller lesions, and, in a subset analysis, concluded that a different response determination was indicated by volumetrics compared with a diameter method in one quarter of cases. In this article, however, the comparison was between volumetric analysis and a 3-diameter measurement approach, and for that reason, the data are difficult to compare with the other 3 studies that compared RECIST and Macdonald approaches. In the 3 other reports,5,7,10 the diameter measurements were made on 5-mm, skip 1-mm axial images (when specified), and the criteria for lesion inclusion were not specified in terms of minimal diameter and whether the lesion could be centrally necrotic. Nonetheless, the computer-assisted volumetric approach yielded a higher response rate than did the single linear (RECIST) measurements in the large retrospective study by Shah et al.7 Specifically, PR would have been declared in 8% of patients (n = 284 studies) by using the 1D measurement compared with 17% PR rate by using the volumetric approach. The authors did not address the statistical significance of this finding. The studies did not find differences in measures of TTP or PFS. The lack of significant difference between techniques may reflect the inclusion of lesions of substantial nonenhancing components, thereby decreasing the sensitivity for response in the enhancing component.

Choosing a Measurable Lesion in Clinical Trials

Definition of a measurable lesion is of major importance in those clinical trials that have an imaging end point. As noted previously, there are many factors that make some lesions ideal for serial measurement and render others less valuable. At present, most clinical trial protocols do not specify criteria for lesion selection.

Enhancement

Malignant gliomas are histopathologically and radiographically heterogeneous in appearance, with geographically irregular margins, variable enhancement, regions of central necrotic or cystic change, and surrounding T2-weighted hyperintensity (Fig 1). Brain metastases are typically more spheric and lend themselves more easily to analysis. Contrast enhancement provides the best currently available measure of tumor size. A component of the lesion that is as homogeneously enhancing as possible should be selected for response assessment because cystic and necrotic portions of a lesion are unlikely to respond to interventions other than surgery. RECIST specifically excludes measurement of cystic lesions in systemic cancers,3 and this criterion should be adhered to as much as possible with malignant gliomas and metastases. Central necrotic or cystic areas within a region of enhancement are less of an issue with computer-assisted volumetric assessment (Fig 1, and see below) because the computer software can segment and quantitate enhancing and nonenhancing components. In a malignant glioma with irregular nodular enhancement, it may be better to choose the largest area of solidly enhancing tumor for measurement if the margins of the nodular focus can be clearly defined, rather than to try to outline the entire margin of the lesion. Protocols should define the maximal percentage of an enhancing focus that can be nonenhancing, as assessed visually on the section containing the largest lesion diameter (eg, 80% for volumetric studies).

Minimal Diameter for Inclusion of Measurable Lesions

Specification of a minimal lesion diameter for measurable lesions aims to reduce the potential for variation in the measurement of smaller lesions due to section selection and volume averaging. In accordance with RECIST, the minimal lesion diameter should be greater than or equal to 2 times the section thickness. With a routine T1-weighted image in which the sections are 5 mm, skip 1 mm, the minimal diameter would be 12 mm. The use of 3-mm, skip 0-mm gadolinium-enhanced T1-weighted images and specification of a 10-mm minimal lesion diameter would be more in keeping with RECIST criteria.

Multicentric Lesions

Approximately one third of malignant gliomas are multicentric at the time of diagnosis, and in half of these cases, there are discrete foci of enhancement.11 The approach in this situation is to measure and record each separately enhancing lesion that meets inclusion criteria and the sum the measurements.

Nonmeasurable Lesions

The concept of nonmeasurable lesions at baseline can be important in clinical trials because tumor progression may occur in these sites. A nonmeasurable lesion might include foci of enhancement that are less than the specified smallest diameter (Fig 1), the region of T2-weighted hyperintensity surrounding enhancing tumor, discrete foci of nonenhancing T2-weighted hyperintensity that represent multicentric tumor, hemorrhagic or predominantly cystic or necrotic lesions, and leptomeningeal tumor. Hemorrhagic lesions often have intrinsic T1-weighted hyperintensity that could be misinterpreted as enhancing tumor, and for this reason, the precontrast T1-weighted image must be examined at baseline to prevent this error. Notes regarding nonmeasurable lesions should be recorded on the imaging case report form for each study.

Postoperative Changes

Many patients entering clinical trials have undergone recent resection of tumor, whether at initial diagnosis or at the time of progression. This introduces a special set of considerations in choice of region for measurement. Gadolinium-enhanced MR imaging should be performed within the first 72 hours following surgery to minimize postoperative enhancement along the margin of the surgical cavity.12

Hyperintense T1-weighted postoperative blood products along the surgical margin can make it difficult to determine whether there is residual enhancing disease. Surgical cavities should not be included in tumor measurement, but it is often difficult to determine the edge of the operative margin. Comparison of T1-weighted images before and after gadolinium enhancement with fast spin-echo (FSE) T2-weighted images gives the most useful information in this regard.

Areas of restricted diffusion along the margin of the surgical cavity are present on diffusion-weighted images (DWI) in up to two thirds of patients on immediate postoperative scans following surgery for malignant gliomas and usually represent areas of infarction (Fig 2).13 Enhancement of the infarcted tissue occurs in approximately one half of cases, can be seen within 1–2 weeks of surgery, and is a finding that can easily be misinterpreted as progressive tumor if the presence of the perioperative infarct is not realized. Thus, it is important to obtain and review the immediate postoperative DWI when new enhancement appears within 2–4 weeks of surgery.13,14

Fig 2.
  • Download figure
  • Open in new tab
  • Download powerpoint
Fig 2.

Infarcts on immediate postoperative MR images are common. These infarcts often demonstrate nodular gadolinium enhancement on subsequent studies, a finding that could be easily confused with tumor. Immediate postoperative DWI (upper left) and apparent diffusion coefficient (upper right) show restricted diffusion (arrows), followed by a 3-month postoperative T2-weighted (lower left) image and a gadolinium-enhanced T1-weighted (lower right) image showing encephalomalacia and enhancement of the infarct. (Reprinted by permission of Lippincott Williams & Wilkins; Clinical and radiographic features of peritumoral infarction following resection of glioblastoma. Neurology 2006;67:1668–70).

Enhancing foci that have been treated with radiosurgery are usually excluded from measurement because of the possibility of radiation necrosis.

Technical Considerations

The same imaging technique must be used at every time point (ie, MR imaging and CT measurements must not be mixed and use of differing magnet strengths should be avoided). Measurements are typically made in the axial plane. The acquisition of 3-mm, skip 0-mm T1-weighted contrast-enhanced images would improve resolution, particularly when dealing with smaller enhancing nodules. Higher resolution images increase the acquisition time from 3 minutes to 5–6 minutes for 3-mm, skip 0-mm sections, but the improved resolution is a strong argument in favor of these images.

Postcontrast axial images should be acquired at a standardized time interval after gadolinium injection, starting no less than 5 minutes after injection. Other sequences not affected by gadolinium (eg, FSE T2-weighted images and DWI performed for a total of 6 minutes) can be routinely acquired after contrast injection to optimize scanner resources and to standardize the postcontrast interval. The same dose of gadolinium should be used for every study.

Timing of Imaging Studies and Confirmation of Response

The frequency of imaging should take into account the interval during which a response might be detected as well as an estimate of the likely duration of response. In the large retrospective study of Hess et al, 6 the median time to response (CR + PR) in progressive malignant gliomas in patients was 14 weeks, with 74% of responses occurring by 26 weeks. A baseline study is usually required within 14 days before initiation of protocol treatment. In some cases, this will be the immediate postoperative examination or, in others, a routine follow-up study demonstrating PD on current therapy. Follow-up studies in patients with malignant gliomas are commonly performed after every second cycle of treatment, which is usually every 8 weeks.

Response confirmation at 4 weeks is a key component of both the RECIST and Macdonald criteria and is designed to avoid overestimating the response rate. When these data are not available, the patient does not have a confirmed response and this information should be reported in the results of clinical trials.

Validity of Imaging End Points in Clinical Trials

Radiographic response correlates with survival in newly diagnosed anaplastic oligodendroglioma, in which response, longer survival, and loss of heterozygosity of chromosome 1p are related.15 For newly diagnosed anaplastic astrocytomas, a study by the Radiation Therapy Oncology Group16 showed that patients with no progression at 6 months had a median survival of 67 months versus a median survival of 19 months for patients who had shown progression by 6 months. Thus, for anaplastic gliomas, there is evidence that response to initial treatment correlates with survival. A study by Galanis et al5 of the relationship between response and survival in patients with newly diagnosed “enhancing gliomas” (n = 36; with low-grade glioma = 25%, anaplastic astrocytomas = 14%, and glioblastoma = 61%) found no relationship between the 2 categories of response (PR and SD) and survival but did observe a correlation between PD and shorter survival. However, these were studies of adjuvant therapy soon after diagnosis, not salvage therapy at the time of progression, whereas most phase II trials are conducted in patients with PD in the salvage setting.

Radiographic response is often used as an end point in the phase II setting with the assumption that it is a valid surrogate measure for improved overall survival. Grant et al17 reviewed the imaging studies of 136 patients with progressive gliomas following 2 cycles of nitrosourea-based therapy and found no correlation between TTP and survival. However, this study also documented a relationship between PD and shorter survival. Shah et al7 found an association between 2-month PFS and survival but no relationship between 6-month PFS and overall survival in patients entered into a number of different clinical trials for progressive malignant gliomas. The latter fact suggests that 6 months may be too long an interval for response assessment in patients with progressive malignant gliomas. Two other large retrospective studies have demonstrated a positive correlation between response, PFS, and overall survival in patients with progressive high-grade gliomas.6,18 Overall, the data support the validity of response as a predictor of survival. Any measurement approach that is more sensitive to response would likely provide the best measure of effect.

Challenges with Novel Therapeutics

This review has focused on the use of gadolinium enhancement as the most useful characteristic for the measurement of brain tumors in clinical trials. New therapies currently in clinical testing and moving into daily clinical practice highlight the shortcomings of enhancement as a measurement tool. A particularly instructive example relates to the fact that inhibitors of vascular endothelial growth factor (VEGF), such as bevacizumab, produce a rapid decrease in the degree of contrast enhancement within malignant gliomas and in the extent of surrounding hyperintense T2-weighted signal intensity (Fig 3).19 These effects, which are consistent with decrease in the permeability of tumor capillaries, make it exceedingly difficult to use conventional measures of tumor size in the setting of clinical trials. It is very important to incorporate advanced techniques such as perfusion and permeability imaging20 and diffusion imaging into clinical trials of these agents to develop better ways of measuring biologic effects.

Fig 3.
  • Download figure
  • Open in new tab
  • Download powerpoint
Fig 3.

Novel therapeutic agents in clinical trials may require use of imaging techniques other than gadolinium-enhancing tumor. Shown here is decreased tumor enhancement but not diameter in a patient with glioblastoma after initiation of a therapy with an inhibitor of VEGF and irinotecan. Note the increase in extent of the infiltrative component of the lesion (lower right). Axial post-gadolinium contrast T1-weighted images (left-hand column) and axial T2-weighted/fluid-attenuated inversion recovery images (right-hand column) were acquired before (upper row) and 7 weeks after (lower row) institution of therapy.

Conclusions

The measurement of brain tumors in clinical trials should be performed according to a standardized set of criteria. Sensitive volumetric measurement techniques are likely to improve the chance of identifying agents that effect tumor growth. New imaging techniques are needed to measure the effects of novel brain tumor therapies.

Footnotes

  • This work was supported by the Pappas Brain Tumor Imaging Research Program, Massachusetts General Hospital, and a grant form the National Cancer Institute to the Dana-Farber/Harvard Cancer Center, which supports Dr. Harris as Principal Investigator of the Tumor Imaging Metrics Core.

References

  1. ↵
    Batchelor T, Stanley K, Andersen J. Clinical trials in neuro-oncology. Curr Opin Neurol 2001;14:689–94
    CrossRefPubMed
  2. ↵
    Miller AB, Hoogstraten B, Staquet M, et al. Reporting results of cancer treatment. Cancer 1981;47:207–14
    CrossRefPubMed
  3. ↵
    Therasse P, Arbuck SG, Eisenhauer EA, et al. New guidelines to evaluate the response to treatment in solid tumors: European Organization for Research and Treatment of Cancer, National Cancer Institute of the United States, National Cancer Institute of Canada. J Natl Cancer Inst 2000;92:205–16
    Abstract/FREE Full Text
  4. ↵
    Macdonald DR, Cascino TL, Schold SC, et al. Response criteria for phase II studies of malignant glioma. J Clin Oncol 1990;8:1277–80
    Abstract
  5. ↵
    Galanis E, Buckner JC, Maurer MJ, et al. Validation of neuroradiologic response assessment in gliomas: measurement by RECIST, two-dimensional, computer-assisted tumor area, and computer-assisted tumor volume methods. Neuro Oncol 2006;8:156–65
    Abstract/FREE Full Text
  6. ↵
    Hess KR, Wong ET, Jaeckle KA, et al. Response and progression in recurrent malignant glioma. Neuro Oncol 1999;1:282–88
    Abstract/FREE Full Text
  7. ↵
    Shah GD, Kesari S, Xu R, et al. Comparison of linear and volumetric criteria in assessing tumor response in adult high-grade gliomas. Neuro Oncol 2006;8:38–46
    Abstract/FREE Full Text
  8. ↵
    Simon R. Optimal two-stage designs for phase II clinical trials. Control Clin Trials 1989;10:1–10
    CrossRefPubMed
  9. ↵
    Sorensen AG, Patel S, Harmath C, et al. Comparison of diameter and perimeter methods for tumor volume calculation. J Clin Oncol 2001;19:551–57
    Abstract/FREE Full Text
  10. ↵
    Warren KE, Patronas N, Aikin AA, et al. Comparison of one-, two-, and three-dimensional measurements of childhood brain tumors. J Natl Cancer Inst 2001;93:1401–05
    Abstract/FREE Full Text
  11. ↵
    Ulmer S, Mavrakis A, Barker FG, et al. Incidence of multifocal lesions in malignant glioma as detected by MRI. Neurology 2006;66:A431
  12. ↵
    Forsyth PA, Petrov E, Mahallati H, et al. Prospective study of postoperative magnetic resonance imaging in patients with malignant gliomas. J Clin Oncol 1997;15:2076–81
    Abstract/FREE Full Text
  13. ↵
    Ulmer S, Braga TA, Barker FG, et al. Clinical and radiographic features of peritumoral infarction following resection of glioblastoma. Neurology 2006;67:1668–70
    Abstract/FREE Full Text
  14. ↵
    Smith JS, Cha S, Mayo MC, et al. Serial diffusion-weighted magnetic resonance imaging in cases of glioma: distinguishing tumor recurrence from postresection injury. J Neurosurg 2005;103:428–38
    CrossRefPubMed
  15. ↵
    Cairncross JG, Ueki K, Zlatescu MC, et al. Specific genetic predictors of chemotherapeutic response and survival in patients with anaplastic oligodendrogliomas. J Natl Cancer Inst 1998;90:1473–79
    Abstract/FREE Full Text
  16. ↵
    Prados MD, Seiferheld W, Sandler HM, et al. Phase III randomized study of radiotherapy plus procarbazine, lomustine, and vincristine with or without BUdR for treatment of anaplastic astrocytoma: final report of RTOG 9404. Int J Radiat Oncol Biol Phys 2004;58:1147–52
    CrossRefPubMed
  17. ↵
    Grant R, Liang BC, Slattery J, et al. Chemotherapy response criteria in malignant glioma. Neurology 1997;48:1336–40
    Abstract/FREE Full Text
  18. ↵
    Ballman KV, Buckner JC, Brown PD, et al. The relationship between six-month progression-free survival and 12-month overall survival end points for phase II trials in patients with glioblastoma multiforme. Neuro Oncol 2007;9:29–38
    Abstract/FREE Full Text
  19. ↵
    Pope WB, Lai A, Nghiemphu P, et al. MRI in patients with high-grade gliomas treated with bevacizumab and chemotherapy. Neurology 2006;66:1258–60
    Abstract/FREE Full Text
  20. ↵
    Mills SJ, Patankar TA, Haroon HA, et al. Do cerebral blood volume and contrast transfer coefficient predict prognosis in human glioma? AJNR Am J Neuroradiol 2006;27:853–58
    Abstract/FREE Full Text
  • Copyright © American Society of Neuroradiology
View Abstract
PreviousNext
Back to top

In this issue

American Journal of Neuroradiology: 29 (3)
American Journal of Neuroradiology
Vol. 29, Issue 3
March 2008
  • Table of Contents
  • Index by author
Advertisement
Print
Download PDF
Email Article

Thank you for your interest in spreading the word on American Journal of Neuroradiology.

NOTE: We only request your email address so that the person you are recommending the page to knows that you wanted them to see it, and that it is not junk mail. We do not capture any email address.

Enter multiple addresses on separate lines or separate them with commas.
Brain Tumor Imaging in Clinical Trials
(Your Name) has sent you a message from American Journal of Neuroradiology
(Your Name) thought you would like to see the American Journal of Neuroradiology web site.
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
Cite this article
J.W. Henson, S. Ulmer, G.J. Harris
Brain Tumor Imaging in Clinical Trials
American Journal of Neuroradiology Mar 2008, 29 (3) 419-424; DOI: 10.3174/ajnr.A0963

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
0 Responses
Respond to this article
Share
Bookmark this article
Brain Tumor Imaging in Clinical Trials
J.W. Henson, S. Ulmer, G.J. Harris
American Journal of Neuroradiology Mar 2008, 29 (3) 419-424; DOI: 10.3174/ajnr.A0963
del.icio.us logo Twitter logo Facebook logo Mendeley logo
  • Tweet Widget
  • Facebook Like
  • Google Plus One
Purchase

Jump to section

  • Article
    • Abstract
    • Measurement Techniques
    • Response Criteria
    • Comparison of Diameter and Volumetric Approaches
    • Choosing a Measurable Lesion in Clinical Trials
    • Technical Considerations
    • Timing of Imaging Studies and Confirmation of Response
    • Validity of Imaging End Points in Clinical Trials
    • Challenges with Novel Therapeutics
    • Conclusions
    • Footnotes
    • References
  • Figures & Data
  • Info & Metrics
  • Responses
  • References
  • PDF

Related Articles

  • No related articles found.
  • PubMed
  • Google Scholar

Cited By...

  • Automated Detection and Segmentation of Brain Metastases in Malignant Melanoma: Evaluation of a Dedicated Deep Learning Model
  • "Early Imaging Marker of Progressive Glioblastoma: a window of opportunity"
  • Tumor Response Assessment in Diffuse Intrinsic Pontine Glioma: Comparison of Semiautomated Volumetric, Semiautomated Linear, and Manual Linear Tumor Measurement Strategies
  • Quantitative Delta T1 (dT1) as a Replacement for Adjudicated Central Reader Analysis of Contrast-Enhancing Tumor Burden: A Subanalysis of the American College of Radiology Imaging Network 6677/Radiation Therapy Oncology Group 0625 Multicenter Brain Tumor Trial
  • MR Fingerprinting of Adult Brain Tumors: Initial Experience
  • Can an 18F-ALF-NOTA-PRGD2 PET/CT Scan Predict Treatment Sensitivity to Concurrent Chemoradiotherapy in Patients with Newly Diagnosed Glioblastoma?
  • A Retrospective Evaluation of Vemurafenib as Treatment for BRAF-Mutant Melanoma Brain Metastases
  • Semiautomated Volumetric Measurement on Postcontrast MR Imaging for Analysis of Recurrent and Residual Disease in Glioblastoma Multiforme
  • Updated Response Assessment Criteria for High-Grade Gliomas: Response Assessment in Neuro-Oncology Working Group
  • End Point Assessment in Gliomas: Novel Treatments Limit Usefulness of Classical Macdonald's Criteria
  • Therapeutic Application of Noncytotoxic Molecular Targeted Therapy in Gliomas: Growth Factor Receptors and Angiogenesis Inhibitors
  • Crossref (146)
  • Google Scholar

This article has been cited by the following articles in journals that are participating in Crossref Cited-by Linking.

  • Updated Response Assessment Criteria for High-Grade Gliomas: Response Assessment in Neuro-Oncology Working Group
    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 of Clinical Oncology 2010 28 11
  • A survey of MRI-based medical image analysis for brain tumor studies
    Stefan Bauer, Roland Wiest, Lutz-P Nolte, Mauricio Reyes
    Physics in Medicine and Biology 2013 58 13
  • Modified Criteria for Radiographic Response Assessment in Glioblastoma Clinical Trials
    Benjamin M. Ellingson, Patrick Y. Wen, Timothy F. Cloughesy
    Neurotherapeutics 2017 14 2
  • Differentiating tumor recurrence from treatment necrosis: a review of neuro-oncologic imaging strategies
    Nishant Verma, Matthew C. Cowperthwaite, Mark G. Burnett, Mia K. Markey
    Neuro-Oncology 2013 15 5
  • Comparison of Dynamic Susceptibility-weighted Contrast-enhanced MR Methods: Recommendations for Measuring Relative Cerebral Blood Volume in Brain Tumors
    Eric S. Paulson, Kathleen M. Schmainda
    Radiology 2008 249 2
  • End Point Assessment in Gliomas: Novel Treatments Limit Usefulness of Classical Macdonald's Criteria
    Martin J. van den Bent, Michael A. Vogelbaum, Patrick Y. Wen, David R. Macdonald, Susan M. Chang
    Journal of Clinical Oncology 2009 27 18
  • Application of Novel Response/Progression Measures for Surgically Delivered Therapies for Gliomas
    Michael A. Vogelbaum, Sarah Jost, Manish K. Aghi, Amy B. Heimberger, John H. Sampson, Patrick Y. Wen, David R. Macdonald, Martin J. Van den Bent, Susan M. Chang
    Neurosurgery 2012 70 1
  • Use of the Response Assessment in Neuro-Oncology (RANO) criteria in clinical trials and clinical practice
    Ugonma N Chukwueke, Patrick Y Wen
    CNS Oncology 2019 8 1
  • GLISTR: Glioma Image Segmentation and Registration
    A. Gooya, K. M. Pohl, M. Bilello, L. Cirillo, G. Biros, E. R. Melhem, C. Davatzikos
    IEEE Transactions on Medical Imaging 2012 31 10
  • MR Fingerprinting of Adult Brain Tumors: Initial Experience
    C. Badve, A. Yu, S. Dastmalchian, M. Rogers, D. Ma, Y. Jiang, S. Margevicius, S. Pahwa, Z. Lu, M. Schluchter, J. Sunshine, M. Griswold, A. Sloan, V. Gulani
    American Journal of Neuroradiology 2017 38 3

More in this TOC Section

  • Ultra-High-Field MR Neuroimaging
  • Mechanisms of Healing in Coiled Intracranial Aneurysms: A Review of the Literature
  • Armies of Pestilence: CNS Infections as Potential Weapons of Mass Destruction
Show more Review Articles

Similar Articles

Advertisement

Indexed Content

  • Current Issue
  • Accepted Manuscripts
  • Article Preview
  • Past Issues
  • Editorials
  • Editors Choice
  • Fellow Journal Club
  • Letters to the Editor

Cases

  • Case Collection
  • Archive - Case of the Week
  • Archive - Case of the Month
  • Archive - Classic Case

Special Collections

  • Special Collections

Resources

  • News and Updates
  • Turn around Times
  • Submit a Manuscript
  • Author Policies
  • Manuscript Submission Guidelines
  • Evidence-Based Medicine Level Guide
  • Publishing Checklists
  • Graphical Abstract Preparation
  • Imaging Protocol Submission
  • Submit a Case
  • Become a Reviewer/Academy of Reviewers
  • Get Peer Review Credit from Publons

Multimedia

  • AJNR Podcast
  • AJNR SCANtastic
  • Video Articles

About Us

  • About AJNR
  • Editorial Board
  • Not an AJNR Subscriber? Join Now
  • Alerts
  • Feedback
  • Advertise with us
  • Librarian Resources
  • Permissions
  • Terms and Conditions

American Society of Neuroradiology

  • Not an ASNR Member? Join Now

© 2025 by the American Society of Neuroradiology All rights, including for text and data mining, AI training, and similar technologies, are reserved.
Print ISSN: 0195-6108 Online ISSN: 1936-959X

Powered by HighWire