The Use of Treatment Response Assessment Maps in Discriminating Between Radiation Effect and Persistent Tumoral Lesion in Metastatic Brain Tumors Treated with Gamma Knife Radiosurgery

Peker, Selçuk; Samancı, Yavuz; Aygün, Murat Serhat; Yavuz, Furkan; Erden, Mert Emre; Nokay, Aziz Emre; Atasoy, Ali Ihsan; Bölükbaşı, Yasemin

doi:10.1016/j.wneu.2020.11.114

Cited by 11 publications

(16 citation statements)

References 38 publications

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“…due to a linear but not nodular morphology in conventional MRI). Furthermore, similar to Peker and colleagues, 15 we noticed that the lesions’ margins commonly yield color transitions between blue and red (e.g. yellow), disabling clear discrimination of very small findings <5 mm.…”

Section: Discussionsupporting

confidence: 87%

“…The CCA has been described by Zach et al in 2015 12 and was examined by Peker et al 15 in early 2021. However, to the best of our knowledge, this study is the first to evaluate CCA in a real-life setting of prospective patients with an equivocal imaging finding on MRI and indication for biopsy/ surgery.…”

Section: Discussionmentioning

confidence: 99%

“…After introducing this method in 2015, there was only one recent study which analyzed respective cases but did not correlate them with histological results. 15 In this study, CCA is evaluated in a prospective controlled setting to examine patients with BM or glioma who underwent cranial RT and present with an equivocal progression at the time of study inclusion, therefore requiring tissue sampling. Independent and blinded neuroradiological reports of the CCA are compared with histopathological results, which were gained after stereotactic biopsy or resection.…”

Section: Introductionmentioning

confidence: 99%

“…After introducing this method in 2015, there was only one recent study which analyzed respective cases but did not correlate them with histological results. 15 …”

Section: Introductionmentioning

confidence: 99%

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MRI-based contrast clearance analysis shows high differentiation accuracy between radiation-induced reactions and progressive disease after cranial radiotherapy

et al. 2022

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Section: Discussionsupporting

confidence: 87%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

“…After introducing this method in 2015, there was only one recent study which analyzed respective cases but did not correlate them with histological results. 15 …”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

MRI-based contrast clearance analysis shows high differentiation accuracy between radiation-induced reactions and progressive disease after cranial radiotherapy

et al. 2022

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“…Submit your Manuscript | www.austinpublishinggroup.com in differentiating radiation side effects versus persistent tumoral lesions has been shown in other tissues in recent studies.Peker et al. showed that TRAM sequence shows excellent sensitivity (96%) and positive predictive value (99%) in diagnosing radiation effects in lung cancer[39]. Guez et al investigated the TRAM sequence in radiation-induced brain vascular malformations mimicking cancer, and reported that TRAM can effectively distinguish the radiation effects and active tumors[40].…”

mentioning

confidence: 99%

Performance of Conventional and Machine-Learning Approaches for the Diagnosis of Tumor Recurrence on MRI after Radiation Therapy of Brain Metastases

Rabiee¹,

Juvina²,

Antonios³

et al. 2021

austinjradiol

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Objective: To compare the performance of conventional and machinelearning approaches for the diagnosis of tumor recurrence after radiation therapy of brain metastases. Methods: 184 symptomatic patients with solitary metastatic brain lesions treated with radiation therapy were enrolled in a monocentric retrospective study from June 2013 to May 2018. The diagnosis was tumor recurrence (n=71) and radiation necrosis (n=113) using as reference standard expert-consensus derived from pathology and long-term follow-up. 37 potential predictors were recorded at the time of radiological progression (7-15 months after therapy): 6 clinical features and 31 imaging features including 20 radiomics features derived from standard of care 3D T1-gadolinium sequences. We compared four approaches (A, B, C, D): expert report using MRI sequences without (A) and with delayedcontrast MRI (TRAM) sequences (B), 11 non-Radiomics imaging features alone (C) and a signature combining variables selected using unsupervised machinelearning algorithms (D), training:validation sets: n=144:40 pts). Results: Overall (n=184), approaches B and C (using TRAM sequence alone) reached comparable performances with respective AUCs [95% CI] of 78.7% [72.3%-85.1%] and 76.8% [70.3%-83.3%]. Both significantly outperformed approach A with AUC [95% CI] of 57.4% [50.7%-64.1%] (DeLong’s test, p-value=10-7). In the validation set (n=40), the signature reached an AUC [95% CI] of 92% [87%-97%]. Conclusion: A quantitative analysis of TRAM sequence seems the best approach for the diagnosis of recurrent tumor after radiation therapy. It is parsimonious, objective and less time-consuming than interpreting all sequences. A signature derived from the analysis of standard of care 3D T1- gadolinium sequence showed promising results that warrant prospective validation.

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Single‐fraction versus hypofractionated gamma knife radiosurgery for small metastatic brain tumors

Samancı

Karakose

Senyurek

et al. 2021

Clin Exp Metastasis

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The Use of Treatment Response Assessment Maps in Discriminating Between Radiation Effect and Persistent Tumoral Lesion in Metastatic Brain Tumors Treated with Gamma Knife Radiosurgery

Cited by 11 publications

References 38 publications

MRI-based contrast clearance analysis shows high differentiation accuracy between radiation-induced reactions and progressive disease after cranial radiotherapy

MRI-based contrast clearance analysis shows high differentiation accuracy between radiation-induced reactions and progressive disease after cranial radiotherapy

Performance of Conventional and Machine-Learning Approaches for the Diagnosis of Tumor Recurrence on MRI after Radiation Therapy of Brain Metastases

Single‐fraction versus hypofractionated gamma knife radiosurgery for small metastatic brain tumors

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