Diffusion kurtosis imaging combined with dynamic susceptibility contrast-enhanced MRI in differentiating high-grade glioma recurrence from pseudoprogression

Shi, Wenwei; Qu, Chongxiao; Wang, Xiaochun; Xiao, Liang; Tan, Yan; Zhang, Hui

doi:10.1016/j.ejrad.2021.109941

Cited by 10 publications

(14 citation statements)

References 28 publications

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“…Subgroups included 518, 186, and 459 patients, respectively. Studies by Kim and colleagues 24 , Prager and colleagues 25 , and Shi and colleagues 26 , measured DSC-MRI and DWI separately and thus appear twice in the subgroup forest plot (Fig. 3 ).…”

Section: Resultsmentioning

confidence: 99%

“…Seven distinct methods for differentiating PsP from TTP were identified: DSC-MRI, DWI, DCE-MRI, ASL, APTw-MRI, 18F-FET PET, and conventional MRI. Three studies compared DSC-MRI and DWI 24 – 26 and one compared DSC-MRI and ASL 27 . Combinations of modalities applied included DSC-MRI & ASL, DSC-MRI & DCE-MRI, and DSC-MRI & DWI 26 , 28 , 29 .…”

Section: Resultsmentioning

confidence: 99%

“…Three studies compared DSC-MRI and DWI 24 – 26 and one compared DSC-MRI and ASL 27 . Combinations of modalities applied included DSC-MRI & ASL, DSC-MRI & DCE-MRI, and DSC-MRI & DWI 26 , 28 , 29 .…”

Section: Resultsmentioning

confidence: 99%

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Discriminators of pseudoprogression and true progression in high-grade gliomas: A systematic review and meta-analysis

Taylor

Ekert

Sefcikova

et al. 2022

Sci Rep

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High-grade gliomas remain the most common primary brain tumour with limited treatments options and early recurrence rates following adjuvant treatments. However, differentiating true tumour progression (TTP) from treatment-related effects or pseudoprogression (PsP), may critically influence subsequent management options. Structural MRI is routinely employed to evaluate treatment responses, but misdiagnosis of TTP or PsP may lead to continuation of ineffective or premature cessation of effective treatments, respectively. A systematic review and meta-analysis were conducted in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-analyses method. Embase, MEDLINE, Web of Science and Google Scholar were searched for methods applied to differentiate PsP and TTP, and studies were selected using pre-specified eligibility criteria. The sensitivity and specificity of included studies were summarised. Three of the identified methods were compared in a separate subgroup meta-analysis. Thirty studies assessing seven distinct neuroimaging methods in 1372 patients were included in the systematic review. The highest performing methods in the subgroup analysis were DWI (AUC = 0.93 [0.91–0.95]) and DSC-MRI (AUC = 0.93 [0.90–0.95]), compared to DCE-MRI (AUC = 0.90 [0.87–0.93]). 18F-fluoroethyltyrosine PET (18F-FET PET) and amide proton transfer-weighted MRI (APTw-MRI) also showed high diagnostic accuracy, but results were based on few low-powered studies. Both DWI and DSC-MRI performed with high sensitivity and specificity for differentiating PsP from TTP. Considering the technical parameters and feasibility of each identified method, the authors suggested that, at present, DSC-MRI technique holds the most clinical potential.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

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Discriminators of pseudoprogression and true progression in high-grade gliomas: A systematic review and meta-analysis

Taylor

Ekert

Sefcikova

et al. 2022

Sci Rep

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“…Because gliomas show infiltrative growth and no obvious boundary, and their occurrence site is relatively specific, it is difficult to realize the biological total resection in practice. Generally, total resection is clinically divided into macroscopic total resection, microscopic total resection, and imaging total resection, among which the imaging total resection is the closest to the effect of biological total resection [ 17 , 18 ], and therefore, the improvement of total resection ability in imaging means that the total resection effect is optimized.…”

Section: Discussionmentioning

confidence: 99%

Effect of 3D Slicer Preoperative Planning and Intraoperative Guidance with Mobile Phone Virtual Reality Technology on Brain Glioma Surgery

Leng

et al. 2022

Contrast Media & Molecular Imaging

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Objective. To explore the effect of 3D Slicer preoperative planning and intraoperative guidance with mobile phone virtual reality (VR) technology on brain glioma surgery. Methods. By means of retrospective study, the data of 77 brain glioma patients treated in the neurosurgery departments at The Second Affiliated Hospital of Wannan Medical College and Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine from January 2015 to January 2022 were analyzed, and the patients were divided into the experimental group (EG, n = 38) and the control group (CG, n = 39) according to the surgical modalities. Before surgery, all patients received positron emission tomography-computed tomography (PET/CT) scanning and magnetic resonance imaging (MRI) examination. For patients in EG, the DICOM format images acquired from PET-CT and MRI examinations were imported with the 3D Slicer software for 3D visual fusion reconstruction, acquiring VR images, and developing detailed preoperative planning. Then, the reconstructed images were imported into the Sina software on a mobile phone, and the surgery was performed with the assistance of VR technology; for patients in CG, traditional 2D images were used for tumor contour drawing by the subjective visual method, and the craniotomy was performed under a traditional microscope. Patients’ surgery indicators and Karnofsky Performance Scale (KPS) scores were compared between the two groups. Results. The number of cases with total resection, rate of total resection, hospital stay after surgery, and surgery time were significantly better in EG than in CG ( P < 0.05 ); after treatment, the KPS score was significantly higher in EG than in CG (75.66 ± 4.01 vs 65.36 ± 5.23, P < 0.001 ). Conclusion. Combining 3D Slicer preoperative planning with intraoperative mobile phone VR technology can promote the accuracy of brain glioma surgery, which is conducive to effectively removing tumors while protecting patients’ neural function.

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“…Research shows that relative MK (rMK) was significantly higher in the TP group than in the PsP group (the AUC was 0.914 for rMK, with an 85% diagnostic accuracy), and rMK appeared to be the best independent predictor [ 63 ]. In addition, DKI combined with DSC MRI can improve diagnostic performance in assessing treatment response compared with either technique alone and the diagnostic accuracy to 88.24% [ 64 ]. However, DKI is a multi-b value multi-directional collection, and the collection time is longer than DTI.…”

Section: Diagnostic Imaging Modalitiesmentioning

confidence: 99%

Tumor Progression and Treatment-Related Changes: Radiological Diagnosis Challenges for the Evaluation of Post Treated Glioma

Qin

Yang

Jing

et al. 2022

Cancers

Self Cite

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As the most common neuro-epithelial tumors of the central nervous system in adults, gliomas are highly malignant and easy to recurrence, with a dismal prognosis. Imaging studies are indispensable for tracking tumor progression (TP) or treatment-related changes (TRCs). During follow-up, distinguishing TRCs from TP in treated patients with gliomas remains challenging as both share similar clinical symptoms and morphological imaging characteristics (with new and/or increasing enhancing mass lesions) and fulfill criteria for progression. Thus, the early identification of TP and TRCs is of great significance for determining the prognosis and treatment. Histopathological biopsy is currently the gold standard for TP and TRC diagnosis. However, the invasive nature of this technique limits its clinical application. Advanced imaging methods (e.g., diffusion magnetic resonance imaging (MRI), perfusion MRI, magnetic resonance spectroscopy (MRS), positron emission tomography (PET), amide proton transfer (APT) and artificial intelligence (AI)) provide a non-invasive and feasible technical means for identifying of TP and TRCs at an early stage, which have recently become research hotspots. This paper reviews the current research on using the abovementioned advanced imaging methods to identify TP and TRCs of gliomas. First, the review focuses on the pathological changes of the two entities to establish a theoretical basis for imaging identification. Then, it elaborates on the application of different imaging techniques and AI in identifying the two entities. Finally, the current challenges and future prospects of these techniques and methods are discussed.

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Diffusion kurtosis imaging combined with dynamic susceptibility contrast-enhanced MRI in differentiating high-grade glioma recurrence from pseudoprogression

Cited by 10 publications

References 28 publications

Discriminators of pseudoprogression and true progression in high-grade gliomas: A systematic review and meta-analysis

Discriminators of pseudoprogression and true progression in high-grade gliomas: A systematic review and meta-analysis

Effect of 3D Slicer Preoperative Planning and Intraoperative Guidance with Mobile Phone Virtual Reality Technology on Brain Glioma Surgery

Tumor Progression and Treatment-Related Changes: Radiological Diagnosis Challenges for the Evaluation of Post Treated Glioma

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