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      Response Assessment in Neuro-Oncology Criteria for Gliomas: Practical Approach Using Conventional and Advanced Techniques

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          SUMMARY:

          The Response Assessment in Neuro-Oncology criteria were developed as an objective tool for radiologic assessment of treatment response in high-grade gliomas. Imaging plays a critical role in the management of the patient with glioma, from initial diagnosis to posttreatment follow-up, which can be particularly challenging for radiologists. Interpreting findings after surgery, radiation, and chemotherapy requires profound knowledge about the tumor biology, as well as the peculiar changes expected to ensue as a consequence of each treatment technique. In this article, we discuss the imaging findings associated with tumor progression, tumor response, pseudoprogression, and pseudoresponse according to the Response Assessment in Neuro-Oncology criteria for high-grade and lower-grade gliomas. We describe relevant practical issues when evaluating patients with glioma, such as the need for imaging in the first 48 hours, the radiation therapy planning and isodose curves, the significance of T2/FLAIR hyperintense lesions, the impact of the timing for the evaluation after radiation therapy, and the definition of progressive disease on the histologic specimen. We also illustrate the correlation among the findings on conventional MR imaging with advanced techniques, such as perfusion, diffusion-weighted imaging, spectroscopy, and amino acid PET. Because many of the new lesions represent a mixture of tumor cells and tissue with radiation injury, the radiologist aims to identify the predominant component of the lesion and categorize the findings according to Response Assessment in Neuro-Oncology criteria so that the patient can receive the best treatment.

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          Most cited references32

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          Current state of immunotherapy for glioblastoma

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            Adult Glioma Incidence and Survival by Race or Ethnicity in the United States From 2000 to 2014

            Question Are there differences in glioma incidence and survival by race or ethnicity in the United States? Findings In this population-based analysis of 244 808 patients with glioma, non-Hispanic whites had the highest incidence and the lowest relative survival rates in most histologies. Meaning Differences in incidence and survival by race or ethnicity can inform future discovery of risk factors and reveal unaddressed health disparities. Importance Glioma is the most commonly occurring malignant brain tumor in the United States, and its incidence varies by age, sex, and race or ethnicity. Survival after brain tumor diagnosis has been shown to vary by these factors. Objective To quantify the differences in incidence and survival rates of glioma in adults by race or ethnicity. Design, Setting, and Participants This population-based study obtained incidence data from the Central Brain Tumor Registry of the United States and survival data from Surveillance, Epidemiology, and End Results registries, covering the period January 1, 2000, to December 31, 2014. Average annual age-adjusted incidence rates with 95% CIs were generated by glioma histologic groups, race, Hispanic ethnicity, sex, and age groups. One-year and 5-year relative survival rates were generated by glioma histologic groups, race, Hispanic ethnicity, and insurance status. The analysis included 244 808 patients with glioma diagnosed in adults aged 18 years or older. Data were collected from January 1, 2000, to December 31, 2014. Data analysis took place from December 11, 2017, to January 31, 2018. Results Overall, 244 808 patients with glioma were analyzed. Of these, 150 631 (61.5%) were glioblastomas, 46 002 (18.8%) were non-glioblastoma astrocytomas, 26 068 (10.7%) were oligodendroglial tumors, 8816 (3.6%) were ependymomas, and 13 291 (5.4%) were other glioma diagnoses in adults. The data set included 137 733 males (56.3%) and 107 075 (43.7%) females. There were 204 580 non-Hispanic whites (83.6%), 17 321 Hispanic whites (7.08%), 14 566 blacks (6.0%), 1070 American Indians or Alaska Natives (0.4%), and 5947 Asians or Pacific Islanders (2.4%). Incidences of glioblastoma, non-glioblastoma astrocytoma, and oligodendroglial tumors were higher among non-Hispanic whites than among Hispanic whites (30% lower overall), blacks (52% lower overall), American Indians or Alaska Natives (58% lower overall), or Asians or Pacific Islanders (52% lower overall). Most tumors were more common in males than in females across all race or ethnicity groups, with the great difference in glioblastoma where the incidence was 60% higher overall in males. Most tumors (193 329 [79.9%]) occurred in those aged 45 years or older, with differences in incidence by race or ethnicity appearing in all age groups. Survival after diagnosis of glioma of different subtypes was generally comparable among Hispanic whites, blacks, and Asians or Pacific Islanders but was lower among non-Hispanic whites for many tumor types, including glioblastoma, irrespective of treatment type. Conclusions and Relevance Incidence of glioma and 1-year and 5-year survival rates after diagnosis vary significantly by race or ethnicity, with non-Hispanic whites having higher incidence and lower survival rates compared with individuals of other racial or ethnic groups. These findings can inform future discovery of risk factors and reveal unaddressed health disparities. Using 14 years of data from the US Central Brain Tumor Registry and the Surveillance, Epidemiology, and End Results registries, this study examines the incidence and survival rates of glioma and its subtypes among 4 racial or ethnic groups.
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              MGMT promoter methylation status can predict the incidence and outcome of pseudoprogression after concomitant radiochemotherapy in newly diagnosed glioblastoma patients.

              Standard therapy for glioblastoma (GBM) is temozolomide (TMZ) administration, initially concurrent with radiotherapy (RT), and subsequently as maintenance therapy. The radiologic images obtained in this setting can be difficult to interpret since they may show radiation-induced pseudoprogression (psPD) rather than disease progression. Patients with histologically confirmed GBM underwent radiotherapy plus continuous daily temozolomide (75 mg/m(2)/d), followed by 12 maintenance temozolomide cycles (150 to 200 mg/m(2) for 5 days every 28 days) if magnetic resonance imaging (MRI) showed no enhancement suggesting a tumor; otherwise, chemotherapy was delivered until complete response or unequivocal progression. The first MRI scan was performed 1 month after completing combined chemoradiotherapy. In 103 patients (mean age, 52 years [range 20 to 73 years]), total resection, subtotal resection, and biopsy were obtained in 51, 51, and 1 cases, respectively. MGMT promoter was methylated in 36 patients (35%) and unmethylated in 67 patients (65%). Lesion enlargement, evidenced at the first MRI scan in 50 of 103 patients, was subsequently classified as psPD in 32 patients and early disease progression in 18 patients. PsPD was recorded in 21 (91%) of 23 methylated MGMT promoter and 11 (41%) of 27 unmethylated MGMT promoter (P = .0002) patients. MGMT status (P = .001) and psPD detection (P = .045) significantly influenced survival. PsPD has a clinical impact on chemotherapy-treated GBM, as it may express the glioma killing effects of treatment and is significantly correlated with MGMT status. Improvement in the early recognition of psPD patterns and knowledge of mechanisms underlying this phenomenon are crucial to eliminating biases in evaluating the results of clinical trials and guaranteeing effective treatment.
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                Author and article information

                Journal
                AJNR Am J Neuroradiol
                AJNR Am J Neuroradiol
                ajnr
                ajnr
                AJNR
                AJNR: American Journal of Neuroradiology
                American Society of Neuroradiology
                0195-6108
                1936-959X
                January 2020
                : 41
                : 1
                : 10-20
                Affiliations
                [1] aFrom the Cancer Hospital of Federal University of Uberlandia (D.J.L.), Uberlandia, Brazil
                [2] bDepartment of Radiology, (P.G.C., B.P.), University of Iowa Hospitals and Clinics, Iowa City, Iowa
                [3] cDepartment of Diagnostic Radiology (L.F.G.), Hospital Sirio-Libanes, Sao Paulo, Brazil
                [4] dDepartment of Neuroradiology (L.F.G., C.C.L.), Faculdade de Medicina Instituto de Radiologia, Universidade de Sao Paulo Neuroradiology, Sao Paulo, Brazil.
                Author notes
                Please address correspondence to Diego J. Leao, MD, Cancer Hospital of Federal University of Uberlandia, Uberlandia, Brazil 38405-302; e-mail:  diegojoseleao@ 123456yahoo.com.br
                Author information
                https://orcid.org/0000-0002-9715-5943
                https://orcid.org/0000-0001-6585-0143
                https://orcid.org/0000-0002-6918-6865
                https://orcid.org/0000-0002-1168-0780
                https://orcid.org/0000-0002-3541-3329
                Article
                19-00834
                10.3174/ajnr.A6358
                6975322
                31857322
                a3bd64f2-c5be-4eec-a130-461426edf171
                © 2020 by American Journal of Neuroradiology

                Indicates open access to non-subscribers at www.ajnr.org

                History
                : 7 August 2019
                : 29 October 2019
                Categories
                Adult Brain

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