Literature DB >> 31873875

DCE-MRI perfusion predicts pseudoprogression in metastatic melanoma treated with immunotherapy.

Yoshie Umemura1, Diane Wang2, Kyung K Peck2,3, Jessica Flynn4, Zhigang Zhang4, Robin Fatovic2, Erik S Anderson5, Kathryn Beal5,6, Alexander N Shoushtari7, Thomas Kaley8,6, Robert J Young2,6.   

Abstract

PURPOSE: It can be challenging to differentiate pseudoprogression from progression. We assessed the ability of dynamic contrast enhanced T1 MRI (DCE-MRI) perfusion to identify pseudoprogression in melanoma brain metastases.
METHODS: Patients with melanoma brain metastases who underwent immunotherapy and DCE-MRI were identified. Enhancing lesions ≥  5mm in diameter on DCE-MRI and that were new or increased in size between a week from beginning the treatment, and a month after completing the treatment were included in the analysis. The 90th percentiles of rVp and rKtrans and the presence or absence of hemorrhage were recorded. Histopathology served as the reference standard for pseudoprogression. If not available, pseudoprogression was defined as neurological and radiographic stability or improvement without any new treatment for ≥ 2 months.
RESULTS: Forty-four patients were identified; 64% received ipilimumab monotherapy for a median duration of 9 weeks (range, 1-138). Sixty-four lesions in 44 patients were included in the study. Of these, nine lesions in eight patients were determined to be pseudoprogression and seven lesions were previously irradiated. Forty-four progression lesions and eight pseudoprogression lesions were hemorrhagic. Median lesion volume for pseudoprogression and progression were not significantly different, at 2.3 cm3 and 3.2 cm3, respectively (p = 0.82). The rVp90 was smaller in pseudoprogression versus progression, at 2.2 and 5.3, respectively (p = 0.02), and remained significant after false discovery rate adjustment (p = 0.04).
CONCLUSIONS: Pseudoprogression exhibited significantly lower rVp90 on DCE-MRI compared with progression. This knowledge can be useful for managing growing lesions in patients with melanoma brain metastases who are receiving immunotherapy.

Entities:  

Keywords:  Brain metastases; DCE-MRI; Immune checkpoint inhibitor; Melanoma; Pseudoprogression

Mesh:

Year:  2019        PMID: 31873875      PMCID: PMC7545497          DOI: 10.1007/s11060-019-03379-6

Source DB:  PubMed          Journal:  J Neurooncol        ISSN: 0167-594X            Impact factor:   4.130


  19 in total

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Authors:  Victoria L Chiou; Mauricio Burotto
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2.  Dynamic contrast enhanced T1 MRI perfusion differentiates pseudoprogression from recurrent glioblastoma.

Authors:  Alissa A Thomas; Julio Arevalo-Perez; Thomas Kaley; John Lyo; Kyung K Peck; Weiji Shi; Zhigang Zhang; Robert J Young
Journal:  J Neurooncol       Date:  2015-08-15       Impact factor: 4.130

Review 3.  MR perfusion-weighted imaging in the evaluation of high-grade gliomas after treatment: a systematic review and meta-analysis.

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Journal:  Neuro Oncol       Date:  2016-08-08       Impact factor: 12.300

Review 4.  The treatment of brain metastases in melanoma patients.

Authors:  D Bafaloukos; H Gogas
Journal:  Cancer Treat Rev       Date:  2004-10       Impact factor: 12.111

5.  MRI perfusion in determining pseudoprogression in patients with glioblastoma.

Authors:  Robert J Young; Ajay Gupta; Akash D Shah; Jerome J Graber; Timothy A Chan; Zhigang Zhang; Weiji Shi; Kathryn Beal; Antonio M Omuro
Journal:  Clin Imaging       Date:  2012-06-08       Impact factor: 1.605

6.  Guidelines for the evaluation of immune therapy activity in solid tumors: immune-related response criteria.

Authors:  Jedd D Wolchok; Axel Hoos; Steven O'Day; Jeffrey S Weber; Omid Hamid; Celeste Lebbé; Michele Maio; Michael Binder; Oliver Bohnsack; Geoffrey Nichol; Rachel Humphrey; F Stephen Hodi
Journal:  Clin Cancer Res       Date:  2009-11-24       Impact factor: 12.531

7.  New response evaluation criteria in solid tumours: revised RECIST guideline (version 1.1).

Authors:  E A Eisenhauer; P Therasse; J Bogaerts; L H Schwartz; D Sargent; R Ford; J Dancey; S Arbuck; S Gwyther; M Mooney; L Rubinstein; L Shankar; L Dodd; R Kaplan; D Lacombe; J Verweij
Journal:  Eur J Cancer       Date:  2009-01       Impact factor: 9.162

8.  Differentiating Tumor Progression from Pseudoprogression in Patients with Glioblastomas Using Diffusion Tensor Imaging and Dynamic Susceptibility Contrast MRI.

Authors:  S Wang; M Martinez-Lage; Y Sakai; S Chawla; S G Kim; M Alonso-Basanta; R A Lustig; S Brem; S Mohan; R L Wolf; A Desai; H Poptani
Journal:  AJNR Am J Neuroradiol       Date:  2015-10-08       Impact factor: 3.825

Review 9.  Immunotherapy response assessment in neuro-oncology: a report of the RANO working group.

Authors:  Hideho Okada; Michael Weller; Raymond Huang; Gaetano Finocchiaro; Mark R Gilbert; Wolfgang Wick; Benjamin M Ellingson; Naoya Hashimoto; Ian F Pollack; Alba A Brandes; Enrico Franceschi; Christel Herold-Mende; Lakshmi Nayak; Ashok Panigrahy; Whitney B Pope; Robert Prins; John H Sampson; Patrick Y Wen; David A Reardon
Journal:  Lancet Oncol       Date:  2015-11       Impact factor: 41.316

10.  Cerebral metastases of cutaneous melanoma.

Authors:  G Gupta; A G Robertson; R M MacKie
Journal:  Br J Cancer       Date:  1997       Impact factor: 7.640

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  4 in total

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Review 3.  MRI techniques for immunotherapy monitoring.

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4.  Multiparametric MRI of early tumor response to immune checkpoint blockade in metastatic melanoma.

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Journal:  J Immunother Cancer       Date:  2021-09       Impact factor: 13.751

  4 in total

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