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Bobholz SA, Lowman AK, Connelly JM, Duenweg SR, Winiarz A, Nath B, Kyereme F, Brehler M, Bukowy J, Coss D, Lupo JM, Phillips JJ, Ellingson BM, Krucoff MO, Mueller WM, Banerjee A, LaViolette PS. Noninvasive Autopsy-Validated Tumor Probability Maps Identify Glioma Invasion Beyond Contrast Enhancement. Neurosurgery 2024; 95:537-547. [PMID: 38501824 PMCID: PMC11302944 DOI: 10.1227/neu.0000000000002898] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2023] [Accepted: 01/09/2024] [Indexed: 03/20/2024] Open
Abstract
BACKGROUND AND OBJECTIVES This study identified a clinically significant subset of patients with glioma with tumor outside of contrast enhancement present at autopsy and subsequently developed a method for detecting nonenhancing tumor using radio-pathomic mapping. We tested the hypothesis that autopsy-based radio-pathomic tumor probability maps would be able to noninvasively identify areas of infiltrative tumor beyond traditional imaging signatures. METHODS A total of 159 tissue samples from 65 subjects were aligned to MRI acquired nearest to death for this retrospective study. Demographic and survival characteristics for patients with and without tumor beyond the contrast-enhancing margin were computed. An ensemble algorithm was used to predict pixelwise tumor presence from pathological annotations using segmented cellularity (Cell), extracellular fluid, and cytoplasm density as input (6 train/3 test subjects). A second level of ensemble algorithms was used to predict voxelwise Cell, extracellular fluid, and cytoplasm on the full data set (43 train/22 test subjects) using 5-by-5 voxel tiles from T1, T1 + C, fluid-attenuated inversion recovery, and apparent diffusion coefficient as input. The models were then combined to generate noninvasive whole brain maps of tumor probability. RESULTS Tumor outside of contrast was identified in 41.5% of patients, who showed worse survival outcomes (hazard ratio = 3.90, P < .001). Tumor probability maps reliably tracked nonenhancing tumor on a range of local and external unseen data, identifying tumor outside of contrast in 69% of presurgical cases that also showed reduced survival outcomes (hazard ratio = 1.67, P = .027). CONCLUSION This study developed a multistage model for mapping gliomas using autopsy tissue samples as ground truth, which was able to identify regions of tumor beyond traditional imaging signatures.
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Affiliation(s)
- Samuel A. Bobholz
- Department of Radiology, Medical College of Wisconsin, Milwaukee, Wisconsin, USA
| | - Allison K. Lowman
- Department of Radiology, Medical College of Wisconsin, Milwaukee, Wisconsin, USA
| | - Jennifer M. Connelly
- Department of Neurology, Medical College of Wisconsin, Milwaukee, Wisconsin, USA
| | - Savannah R. Duenweg
- Department of Biophysics, Medical College of Wisconsin, Milwaukee, Wisconsin, USA
| | - Aleksandra Winiarz
- Department of Biophysics, Medical College of Wisconsin, Milwaukee, Wisconsin, USA
| | - Biprojit Nath
- Department of Biophysics, Medical College of Wisconsin, Milwaukee, Wisconsin, USA
| | - Fitzgerald Kyereme
- Department of Radiology, Medical College of Wisconsin, Milwaukee, Wisconsin, USA
| | - Michael Brehler
- Department of Radiology, Medical College of Wisconsin, Milwaukee, Wisconsin, USA
| | - John Bukowy
- Department of Electrical Engineering and Computer Science, Milwaukee School of Engineering, Milwaukee, Wisconsin, USA
| | - Dylan Coss
- Department of Pathology, Medical College of Wisconsin, Milwaukee, Wisconsin, USA
| | - Janine M. Lupo
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, California, USA
- UCSF/UC Berkeley Graduate Program in Bioengineering, University of California, San Francisco and Berkeley, California, USA
| | - Joanna J. Phillips
- Department of Neurological Surgery, University of California, San Francisco, California, USA
- Department of Pathology, University of California, San Francisco, California, USA
| | - Benjamin M. Ellingson
- UCLA Brain Tumor Imaging Laboratory, Department of Radiological Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, California, USA
| | - Max O. Krucoff
- Department of Neurosurgery, Medical College of Wisconsin, Milwaukee, Wisconsin, USA
| | - Wade M. Mueller
- Department of Neurosurgery, Medical College of Wisconsin, Milwaukee, Wisconsin, USA
| | - Anjishnu Banerjee
- Department of Biostatistics, Medical College of Wisconsin, Milwaukee, Wisconsin, USA
| | - Peter S. LaViolette
- Department of Radiology, Medical College of Wisconsin, Milwaukee, Wisconsin, USA
- Department of Biophysics, Medical College of Wisconsin, Milwaukee, Wisconsin, USA
- Department of Biomedical Engineering, Medical College of Wisconsin, Milwaukee, Wisconsin, USA
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Armbruster S, Ludmir EB, Wei LJ. Valid Analysis of Brain-Specific Progression-Free Survival. JAMA Oncol 2024; 10:1134-1135. [PMID: 38869861 DOI: 10.1001/jamaoncol.2024.1693] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/14/2024]
Affiliation(s)
- Stephanie Armbruster
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - Ethan B Ludmir
- Department of Gastrointestinal Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston
| | - Lee-Jen Wei
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
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Khalaj K, Jacobs MA, Zhu JJ, Esquenazi Y, Hsu S, Tandon N, Akhbardeh A, Zhang X, Riascos R, Kamali A. The Use of Apparent Diffusion Coefficient Values for Differentiating Bevacizumab-Related Cytotoxicity from Tumor Recurrence and Radiation Necrosis in Glioblastoma. Cancers (Basel) 2024; 16:2440. [PMID: 39001500 PMCID: PMC11240552 DOI: 10.3390/cancers16132440] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2024] [Revised: 06/26/2024] [Accepted: 06/29/2024] [Indexed: 07/16/2024] Open
Abstract
OBJECTIVES Glioblastomas (GBM) are the most common primary invasive neoplasms of the brain. Distinguishing between lesion recurrence and different types of treatment related changes in patients with GBM remains challenging using conventional MRI imaging techniques. Therefore, accurate and precise differentiation between true progression or pseudoresponse is crucial in deciding on the appropriate course of treatment. This retrospective study investigated the potential of apparent diffusion coefficient (ADC) map values derived from diffusion-weighted imaging (DWI) as a noninvasive method to increase diagnostic accuracy in treatment response. METHODS A cohort of 21 glioblastoma patients (mean age: 59.2 ± 11.8, 12 Male, 9 Female) that underwent treatment with bevacizumab were selected. The ADC values were calculated from the DWI images obtained from a standardized brain protocol across 1.5-T and 3-T MRI scanners. Ratios were calculated for rADC values. Lesions were classified as bevacizumab-induced cytotoxicity based on characteristic imaging features (well-defined regions of restricted diffusion with persistent diffusion restriction over the course of weeks without tissue volume loss and absence of contrast enhancement). The rADC value was compared to these values in radiation necrosis and recurrent lesions, which were concluded in our prior study. The nonparametric Wilcoxon signed rank test with p < 0.05 was used for significance. RESULTS The mean ± SD age of the selected patients was 59.2 ± 11.8. ADC values and corresponding mean rADC values for bevacizumab-induced cytotoxicity were 248.1 ± 67.2 and 0.39 ± 0.10, respectively. These results were compared to the ADC values and corresponding mean rADC values of tumor progression and radiation necrosis. Significant differences between rADC values were observed in all three groups (p < 0.001). Bevacizumab-induced cytotoxicity had statistically significant lower ADC values compared to both tumor recurrence and radiation necrosis. CONCLUSION The study demonstrates the potential of ADC values as noninvasive imaging biomarkers for differentiating recurrent glioblastoma from radiation necrosis and bevacizumab-induced cytotoxicity.
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Affiliation(s)
- Kamand Khalaj
- Department of Diagnostic and Interventional Imaging, UTHealth Houston, Houston, TX 77030, USA
| | - Michael A Jacobs
- Department of Diagnostic and Interventional Imaging, UTHealth Houston, Houston, TX 77030, USA
- The Department of Radiology and Oncology, The Johns Hopkins School of Medicine, Baltimore, MD 21205, USA
- Department of Computer Science, Rice University, Houston, TX 77005, USA
| | - Jay-Jiguang Zhu
- The Vivian L. Smith Department of Neurosurgery, McGovern Medical School, UTHealth Houston, Houston, TX 77030, USA
| | - Yoshua Esquenazi
- The Vivian L. Smith Department of Neurosurgery, McGovern Medical School, UTHealth Houston, Houston, TX 77030, USA
| | - Sigmund Hsu
- The Vivian L. Smith Department of Neurosurgery, McGovern Medical School, UTHealth Houston, Houston, TX 77030, USA
| | - Nitin Tandon
- The Vivian L. Smith Department of Neurosurgery, McGovern Medical School, UTHealth Houston, Houston, TX 77030, USA
| | - Alireza Akhbardeh
- Department of Diagnostic and Interventional Imaging, UTHealth Houston, Houston, TX 77030, USA
| | - Xu Zhang
- Division of Clinical and Translational Sciences, Department of Internal Medicine, UTHealth, Houston, TX 77030, USA
| | - Roy Riascos
- Department of Diagnostic and Interventional Imaging, UTHealth Houston, Houston, TX 77030, USA
| | - Arash Kamali
- Department of Diagnostic and Interventional Imaging, UTHealth Houston, Houston, TX 77030, USA
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Zuo L, Hou M, Fan J, Li F, Wang B, Zhao Q, Yang Y, Yu D. Multiparametric MRI manifestations of the spontaneous intratumoral coagulative necrosis in HCC. Abdom Radiol (NY) 2024; 49:2198-2208. [PMID: 38758398 DOI: 10.1007/s00261-024-04355-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2024] [Revised: 04/21/2024] [Accepted: 04/22/2024] [Indexed: 05/18/2024]
Abstract
PURPOSE To investigate the MRI manifestations of the spontaneous intratumoral coagulative necrosis (iCN) in patients with hepatocellular carcinoma (HCC) and its value in predicting the postoperative early recurrence (≤ 2 years). METHODS Patients with HCC who underwent preoperative multiparametric MRI between January 2015 and February 2019 were enrolled in this retrospective study. The MRI manifestations of iCNs on TIWI, T2WI, and ADC were recorded. The sensitivity and specificity of MRI for the detection of iCNs were also evaluated. A multivariable Cox proportional hazards model and the Kaplan-Meier method were used to verify the value of histologically-confirmed and MRI-identified iCNs, respectively, in predicting early recurrence. RESULTS A total of 163 patients (median age, 56 years; interquartile range, 49-64 years; 139 men) with HCCs were evaluated, of whom 27(16.6%) had histologically-confirmed iCNs. MRI identified 92.6% (25 of 27; 95% confidence interval [CI] 74.2%, 98.7%) of iCNs (sensitivity), with a specificity of 79.4% (78 of 136; 95% CI 71.4%, 85.7%), based on non-enhancement on post-contrast MRI. And the MRI-identified iCNs were characterized by a similar appearance to surrounding tumour tissue shown on pre-contrast MRI but not enhanced on post-contrast MRI. The multivariable Cox proportional hazards model revealed that only the presence of histologically-confirmed iCN was independently associated with early HCC recurrence (hazard ratio = 2.73; 95% CI 1.20, 6.21; P = 0.017). The Kaplan-Meier curve showed that the presence of MRI-identified iCN was also associated with early recurrence (P < 0.001). CONCLUSION Multiparametric MRI identified iCNs with high sensitivity and modest specificity. The presence of iCNs is associated with early HCC recurrence.
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Affiliation(s)
- Liping Zuo
- Department of Radiology, Qilu Hospital of Shandong University, Jinan, 250012, Shandong, China
| | - Mingyuan Hou
- Department of Radiology, Qilu Hospital of Shandong University, Jinan, 250012, Shandong, China
- Department of Imaging, the Affiliated Weihai Second Municipal Hospital of Qingdao University, Weihai, 264200, Shandong, China
| | - Jinlei Fan
- Department of Radiology, Qilu Hospital of Shandong University, Jinan, 250012, Shandong, China
| | - Fangxuan Li
- Department of Radiology, Qilu Hospital of Shandong University, Jinan, 250012, Shandong, China
| | - Bowen Wang
- Department of Radiology, Qilu Hospital of Shandong University, Jinan, 250012, Shandong, China
| | - Qian Zhao
- Department of Radiology, Qilu Hospital of Shandong University, Jinan, 250012, Shandong, China
- Department of Radiology, Jinan Hospital, Jinan, 250013, Shandong, China
| | - Yanmin Yang
- Department of Radiology, Mudan People's Hospital of Heze City, Heze, 274000, Shandong, China
| | - Deixin Yu
- Department of Radiology, Qilu Hospital of Shandong University, Jinan, 250012, Shandong, China.
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Valenzuela-Fuenzalida JJ, Moyano-Valarezo L, Silva-Bravo V, Milos-Brandenberg D, Orellana-Donoso M, Nova-Baeza P, Suazo-Santibáñez A, Rodríguez-Luengo M, Oyanedel-Amaro G, Sanchis-Gimeno J, Gutiérrez Espinoza H. Association between the Anatomical Location of Glioblastoma and Its Evaluation with Clinical Considerations: A Systematic Review and Meta-Analysis. J Clin Med 2024; 13:3460. [PMID: 38929990 PMCID: PMC11204640 DOI: 10.3390/jcm13123460] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2024] [Revised: 06/04/2024] [Accepted: 06/07/2024] [Indexed: 06/28/2024] Open
Abstract
Background: Glioblastoma is a primary malignant brain tumor; it is aggressive with a high degree of malignancy and unfavorable prognosis and is the most common type of malignant brain tumor. Glioblastomas can be located in the brain, cerebellum, brainstem, and spinal cord, originating from glial cells, particularly astrocytes. Methods: The databases MEDLINE, Scopus, Web of Science, Google Scholar, and CINAHL were researched up to January 2024. Two authors independently performed the search, study selection, and data extraction. Methodological quality was evaluated with an assurance tool for anatomical studies (AQUA). The statistical mean, standard deviation, and difference of means calculated with the Student's t-test for presence between hemispheres and presence in the frontal and temporal lobes were analyzed. Results: A total of 123 studies met the established selection criteria, with a total of 6224 patients. In relation to the mean, GBM between hemispheres had a mean of 33.36 (SD 58.00) in the right hemisphere and a mean of 34.70 (SD 65.07) in the left hemisphere, due to the difference in averages between hemispheres. There were no statistically significant differences, p = 0.35. For the comparison between the presence of GBM in the frontal lobe and the temporal lobe, there was a mean in the frontal lobe of 23.23 (SD 40.03), while in the temporal lobe, the mean was 22.05 (SD 43.50), and for the difference in means between the frontal lobe and the temporal lobe, there was no statistically significant difference for the presence of GBM, p = 0.178. Conclusions: We believe that before a treatment, it will always be correct to know where the GBM is located and how it behaves clinically, in order to generate correct conservative or surgical treatment guidelines for each patient. We believe that more detailed studies are also needed to show why GBM is associated more with some regions than others, despite the brain structure being homologous to other regions in which GMB occurs less frequently, which is why knowing its predominant presence in brain regions is very important.
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Affiliation(s)
- Juan Jose Valenzuela-Fuenzalida
- Departamento de Ciencias Química y Biológicas, Facultad de Ciencias de la Salud, Universidad Bernardo O’Higgins, Santiago 8320000, Chile;
- Departament de Morfología, Facultad de Medicina, Universidad Andrés Bello, Santiago 8370146, Chile; (L.M.-V.); (V.S.-B.); (D.M.-B.); (P.N.-B.); (M.R.-L.)
| | - Laura Moyano-Valarezo
- Departament de Morfología, Facultad de Medicina, Universidad Andrés Bello, Santiago 8370146, Chile; (L.M.-V.); (V.S.-B.); (D.M.-B.); (P.N.-B.); (M.R.-L.)
| | - Vicente Silva-Bravo
- Departament de Morfología, Facultad de Medicina, Universidad Andrés Bello, Santiago 8370146, Chile; (L.M.-V.); (V.S.-B.); (D.M.-B.); (P.N.-B.); (M.R.-L.)
| | - Daniel Milos-Brandenberg
- Departament de Morfología, Facultad de Medicina, Universidad Andrés Bello, Santiago 8370146, Chile; (L.M.-V.); (V.S.-B.); (D.M.-B.); (P.N.-B.); (M.R.-L.)
- Escuela de Medicina, Facultad Ciencias de la Salud, Universidad del Alba, Santiago 8320000, Chile
| | - Mathias Orellana-Donoso
- Escuela de Medicina, Universidad Finis Terrae, Santiago 7501015, Chile;
- Department of Morphological Sciences, Faculty of Medicine and Science, Universidad San Sebastián, Santiago 8420524, Chile
| | - Pablo Nova-Baeza
- Departament de Morfología, Facultad de Medicina, Universidad Andrés Bello, Santiago 8370146, Chile; (L.M.-V.); (V.S.-B.); (D.M.-B.); (P.N.-B.); (M.R.-L.)
| | | | - Macarena Rodríguez-Luengo
- Departament de Morfología, Facultad de Medicina, Universidad Andrés Bello, Santiago 8370146, Chile; (L.M.-V.); (V.S.-B.); (D.M.-B.); (P.N.-B.); (M.R.-L.)
| | - Gustavo Oyanedel-Amaro
- Facultad de Ciencias de la Salud, Universidad Autónoma de Chile, Santiago 8910060, Chile;
| | - Juan Sanchis-Gimeno
- GIAVAL Research Group, Department of Anatomy and Human Embryology, Faculty of Medicine, University of Valencia, 46001 Valencia, Spain;
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Bobholz SA, Hoefs A, Hamburger J, Lowman AK, Winiarz A, Duenweg SR, Kyereme F, Connelly J, Coss D, Krucoff M, Banerjee A, LaViolette PS. Radio-pathomic maps of glioblastoma identify phenotypes of non-enhancing tumor infiltration associated with bevacizumab treatment response. J Neurooncol 2024; 167:233-241. [PMID: 38372901 PMCID: PMC11024025 DOI: 10.1007/s11060-024-04593-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2024] [Accepted: 01/30/2024] [Indexed: 02/20/2024]
Abstract
BACKGROUND Autopsy-based radio-pathomic maps of glioma pathology have shown substantial promise inidentifying areas of non-enhancing tumor presence, which may be able to differentiate subsets of patients that respond favorably to treatments such as bevacizumab that have shown mixed efficacy evidence. We tested the hypthesis that phenotypes of non-enhancing tumor fronts can distinguish between glioblastoma patients that will respond favorably to bevacizumab and will visually capture treatment response. METHODS T1, T1C, FLAIR, and ADC images were used to generate radio-pathomic maps of tumor characteristics for 79 pre-treatment patients with a primary GBM or high-grade IDH1-mutant astrocytoma for this study. Novel phenotyping (hypercellular, hypocellular, hybrid, or well-circumscribed front) of the non-enhancing tumor front was performed on each case. Kaplan Meier analyses were then used to assess differences in survival and bevacizumab efficacy between phenotypes. Phenotype compartment segmentations generated longitudinally for a subset of 26 patients over the course of bevacizumab treatment, where a mixed effect model was used to detect longitudinal changes. RESULTS Well-Circumscribed patients showed significant/trending increases in survival compared to Hypercellular Front (HR = 2.0, p = 0.05), Hypocellular Front (HR = 2.02, p = 0.03), and Hybrid Front tumors (HR = 1.75, p = 0.09). Only patients with hypocellular or hybrid fronts showed significant survival benefits from bevacizumab treatment (HR = 2.35, p = 0.02; and HR = 2.45, p = 0.03, respectively). Hypocellular volumes decreased by an average 50.52 mm3 per day of bevacizumab treatment (p = 0.002). CONCLUSION Patients with a hypocellular tumor front identified by radio-pathomic maps showed improved treatment efficacy when treated with bevacizumab, and reducing hypocellular volumes over the course of treatment may indicate treatment response.
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Affiliation(s)
- Samuel A Bobholz
- Department of Radiology, Medical College of Wisconsin, 8701 Watertown Plank Rd, 53226, Milwaukee, WI, USA
| | - Alisha Hoefs
- Department of Radiology, Medical College of Wisconsin, 8701 Watertown Plank Rd, 53226, Milwaukee, WI, USA
| | - Jordyn Hamburger
- Department of Radiology, Medical College of Wisconsin, 8701 Watertown Plank Rd, 53226, Milwaukee, WI, USA
| | - Allison K Lowman
- Department of Radiology, Medical College of Wisconsin, 8701 Watertown Plank Rd, 53226, Milwaukee, WI, USA
| | - Aleksandra Winiarz
- Department of Biophysics, Medical College of Wisconsin, Milwaukee, WI, USA
| | - Savannah R Duenweg
- Department of Biophysics, Medical College of Wisconsin, Milwaukee, WI, USA
| | - Fitzgerald Kyereme
- Department of Radiology, Medical College of Wisconsin, 8701 Watertown Plank Rd, 53226, Milwaukee, WI, USA
| | - Jennifer Connelly
- Department of Neurology, Medical College of Wisconsin, Milwaukee, WI, USA
| | - Dylan Coss
- Department of Pathology, Medical College of Wisconsin, Milwaukee, WI, USA
| | - Max Krucoff
- Department of Neurosurgery, Medical College of Wisconsin, Milwaukee, WI, USA
| | - Anjishnu Banerjee
- Department of Biostatistics, Medical College of Wisconsin, Milwaukee, WI, USA
| | - Peter S LaViolette
- Department of Radiology, Medical College of Wisconsin, 8701 Watertown Plank Rd, 53226, Milwaukee, WI, USA.
- Department of Biophysics, Medical College of Wisconsin, Milwaukee, WI, USA.
- Department of Biomedical Engineering, Medical College of Wisconsin, Milwaukee, WI, USA.
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Bhattacharya K, Rastogi S, Mahajan A. Post-treatment imaging of gliomas: challenging the existing dogmas. Clin Radiol 2024; 79:e376-e392. [PMID: 38123395 DOI: 10.1016/j.crad.2023.11.017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2023] [Revised: 10/23/2023] [Accepted: 11/21/2023] [Indexed: 12/23/2023]
Abstract
Gliomas are the commonest malignant central nervous system tumours in adults and imaging is the cornerstone of diagnosis, treatment, and post-treatment follow-up of these patients. With the ever-evolving treatment strategies post-treatment imaging and interpretation in glioma remains challenging, more so with the advent of anti-angiogenic drugs and immunotherapy, which can significantly alter the appearance in this setting, thus making interpretation of routine imaging findings such as contrast enhancement, oedema, and mass effect difficult to interpret. This review details the various methods of management of glioma including the upcoming novel therapies and their impact on imaging findings, with a comprehensive description of the imaging findings in conventional and advanced imaging techniques. A systematic appraisal for the existing and emerging techniques of imaging in these settings and their clinical application including various response assessment guidelines and artificial intelligence based response assessment will also be discussed.
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Affiliation(s)
- K Bhattacharya
- Tata Memorial Centre, Homi Bhabha National Institute, Mumbai, Maharashtra, India
| | - S Rastogi
- Tata Memorial Centre, Homi Bhabha National Institute, Mumbai, Maharashtra, India
| | - A Mahajan
- Department of imaging, The Clatterbridge Cancer Centre, NHS Foundation Trust, Pembroke Place, Liverpool L7 8YA, UK; University of Liverpool, Liverpool L69 3BX, UK.
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8
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Bobholz SA, Hoefs A, Hamburger J, Lowman AK, Winiarz A, Duenweg SR, Kyereme F, Connelly J, Coss D, Krucoff M, Banerjee A, LaViolette PS. Radio-pathomic maps of glioblastoma identify phenotypes of non-enhancing tumor infiltration associated with bevacizumab treatment response. RESEARCH SQUARE 2024:rs.3.rs-3832221. [PMID: 38260400 PMCID: PMC10802733 DOI: 10.21203/rs.3.rs-3832221/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/24/2024]
Abstract
Background Autopsy-based radio-pathomic maps of glioma pathology have shown substantial promise inidentifying areas of non-enhancing tumor presence, which may be able to differentiate subsets of patients that respond favorably to treatments such as bevacizumab that have shown mixed efficacy evidence. We tested the hypthesis that phenotypes of non-enhancing tumor fronts can distinguish between glioblastoma patients that will respond favorably to bevacizumab and will visually capture treatment response. Methods T1, T1C, FLAIR, and ADC images were used to generate radio-pathomic maps of tumor characteristics for 79 pre-treatment patients with a primary GBM or high-grade IDH1-mutant astrocytoma for this study. Novel phenotyping (hypercellular, hypocellular, hybrid, or well-circumscribed front) of the non-enhancing tumor front was performed on each case. Kaplan Meier analyses were then used to assess differences in survival and bevacizumab efficacy between phenotypes. Phenotype compartment segmentations generated longitudinally for a subset of 26 patients over the course of bevacizumab treatment, where a mixed effect model was used to detect longitudinal changes. Results Well-Circumscribed patients showed significant/trending increases in survival compared to Hypercellular Front (HR = 2.0, p = 0.05), Hypocellular Front (HR = 2.02, p = 0.03), and Hybrid Front tumors (HR = 1.75, p = 0.09). Only patients with hypocellular or hybrid fronts showed significant survival benefits from bevacizumab treatment (HR = 2.35, p = 0.02; and HR = 2.45, p = 0.03, respectively). Hypocellular volumes decreased by an average 50.52 mm3 per day of bevacizumab treatment (p = 0.002). Conclusion Patients with a hypocellular tumor front identified by radio-pathomic maps showed improved treatment efficacy when treated with bevacizumab, and reducing hypocellular volumes over the course of treatment may indicate treatment response.
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9
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Kambe A, Kitao S, Ochiai R, Hosoya T, Fujii S, Kurosaki M. The utility of arterial spin labeling imaging for predicting prognosis after a recurrence of high-grade glioma in patients under bevacizumab treatment. J Neurooncol 2024; 166:175-183. [PMID: 38165552 DOI: 10.1007/s11060-023-04550-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2023] [Accepted: 12/20/2023] [Indexed: 01/04/2024]
Abstract
BACKGROUND AND PURPOSE Currently, the antiangiogenic agent bevacizumab (BVZ) is used as a treatment option for high-grade glioma (HGG) patients. However, BVZ restores disruptions of the blood-brain barrier, which leads to the disappearance of contrast enhancement during radiological examinations and therefore complicates evaluations of treatment efficacy. This study aimed to investigate the radio-morphological features of recurrent lesions that newly appeared under BVZ therapy, as well as the utility of arterial spin labeling (ASL) perfusion imaging for evaluating treatment response and prognosis in HGG patients receiving BVZ. METHODS Thirty-two patients (20 males, 12 females; age range, 35-84 years) with HGG who experienced a recurrence under BVZ therapy were enrolled. We measured the relative cerebral blood flow (rCBF) values of each recurrent lesion using ASL, and retrospectively investigated the correlation between rCBF values and prognosis. RESULTS The optimal rCBF cut-off value for predicting prognosis was defined as 1.67 using receiver operating characteristic curve analysis. The patients in the rCBF < 1.67 group had significantly longer overall survival (OS) and post-progression survival (PPS) than those in the rCBF ≥ 1.67 group (OS: 34.0 months vs. 13.0 months, p = 0.03 and PPS: 13.0 months vs. 6.0 months, p < 0.001, respectively). CONCLUSION The ASL-derived rCBF values of recurrent lesions may serve as an effective imaging biomarker for prognosis in HGG patients undergoing BVZ therapy. Low rCBF values may indicate that BVZ efficacy is sustainable, which will influence BVZ treatment strategies in HGG patients.
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Affiliation(s)
- Atsushi Kambe
- Department of Brain and Neurosciences, Division of Neurosurgery, Faculty of Medicine, Tottori University, Tottori, Japan.
| | - Shinichiro Kitao
- Department of Multidisciplinary Internal Medicine, Division of Radiology, Faculty of Medicine, Tottori University, Tottori, Japan
| | - Ryoya Ochiai
- Department of Multidisciplinary Internal Medicine, Division of Radiology, Faculty of Medicine, Tottori University, Tottori, Japan
| | - Tomohiro Hosoya
- Department of Brain and Neurosciences, Division of Neurosurgery, Faculty of Medicine, Tottori University, Tottori, Japan
| | - Shinya Fujii
- Department of Multidisciplinary Internal Medicine, Division of Radiology, Faculty of Medicine, Tottori University, Tottori, Japan
| | - Masamichi Kurosaki
- Department of Brain and Neurosciences, Division of Neurosurgery, Faculty of Medicine, Tottori University, Tottori, Japan
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Saatian B, Deshpande K, Herrera R, Sedighi S, Eisenbarth R, Iyer M, Das D, Julian A, Martirosian V, Lowman A, LaViolette P, Remsik J, Boire A, Sankey E, Fecci PE, Shiroishi MS, Chow F, Hurth K, Neman J. Breast-to-brain metastasis is exacerbated with chemotherapy through blood-cerebrospinal fluid barrier and induces Alzheimer's-like pathology. J Neurosci Res 2023; 101:1900-1913. [PMID: 37787045 PMCID: PMC10769085 DOI: 10.1002/jnr.25249] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2022] [Revised: 08/09/2023] [Accepted: 09/04/2023] [Indexed: 10/04/2023]
Abstract
Control of breast-to-brain metastasis remains an urgent unmet clinical need. While chemotherapies are essential in reducing systemic tumor burden, they have been shown to promote non-brain metastatic invasiveness and drug-driven neurocognitive deficits through the formation of neurofibrillary tangles (NFT), independently. Now, in this study, we investigated the effect of chemotherapy on brain metastatic progression and promoting tumor-mediated NFT. Results show chemotherapies increase brain-barrier permeability and facilitate enhanced tumor infiltration, particularly through the blood-cerebrospinal fluid barrier (BCSFB). This is attributed to increased expression of matrix metalloproteinase 9 (MMP9) which, in turn, mediates loss of Claudin-6 within the choroid plexus cells of the BCSFB. Importantly, increased MMP9 activity in the choroid epithelium following chemotherapy results in cleavage and release of Tau from breast cancer cells. This cleaved Tau forms tumor-derived NFT that further destabilize the BCSFB. Our results underline for the first time the importance of the BCSFB as a vulnerable point of entry for brain-seeking tumor cells post-chemotherapy and indicate that tumor cells themselves contribute to Alzheimer's-like tauopathy.
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Affiliation(s)
- B Saatian
- Department of Neurological Surgery, Keck School of Medicine, University of Southern California
- Brain Tumor Center, University of Southern California
| | - K Deshpande
- Department of Neurological Surgery, Keck School of Medicine, University of Southern California
- Brain Tumor Center, University of Southern California
| | - R Herrera
- Department of Neurological Surgery, Keck School of Medicine, University of Southern California
- Brain Tumor Center, University of Southern California
| | - S Sedighi
- Department of Neurological Surgery, Keck School of Medicine, University of Southern California
- Brain Tumor Center, University of Southern California
| | - R Eisenbarth
- Department of Neurological Surgery, Keck School of Medicine, University of Southern California
- Brain Tumor Center, University of Southern California
| | - M Iyer
- Department of Neurological Surgery, Keck School of Medicine, University of Southern California
| | - D Das
- Department of Neurological Surgery, Keck School of Medicine, University of Southern California
| | - A Julian
- Department of Neurological Surgery, Keck School of Medicine, University of Southern California
- Brain Tumor Center, University of Southern California
| | - V Martirosian
- Department of Neurological Surgery, Keck School of Medicine, University of Southern California
- Brain Tumor Center, University of Southern California
| | - A Lowman
- Department of Radiology and Biomedical Engineering, Medical College of Wisconsin
| | - P LaViolette
- Department of Radiology and Biomedical Engineering, Medical College of Wisconsin
| | - J Remsik
- Department of Neurology, Memorial Sloan Kettering Cancer Center
| | - A Boire
- Department of Neurology, Memorial Sloan Kettering Cancer Center
| | - E Sankey
- Department of Neurosurgery, Duke University School of Medicine
| | - PE Fecci
- Department of Neurosurgery, Duke University School of Medicine
| | - MS Shiroishi
- Brain Tumor Center, University of Southern California
- Department of Pathology, Keck School of Medicine, University of Southern California
| | - F Chow
- Department of Neurological Surgery, Keck School of Medicine, University of Southern California
- Brain Tumor Center, University of Southern California
- Norris Comprehensive Cancer Center, University of Southern California
| | - K Hurth
- Brain Tumor Center, University of Southern California
- Department of Neuroscience and Physiology, Keck School of Medicine, University of Southern California
- Norris Comprehensive Cancer Center, University of Southern California
| | - J Neman
- Department of Neurological Surgery, Keck School of Medicine, University of Southern California
- Brain Tumor Center, University of Southern California
- Department of Neuroscience and Physiology, Keck School of Medicine, University of Southern California
- Department of Radiology, Keck School of Medicine, University of Southern California
- Norris Comprehensive Cancer Center, University of Southern California
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11
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Werner JM, Wollring MM, Tscherpel C, Rosen EK, Werr L, Stetter I, Rueß D, Ruge MI, Brunn A, Al Shughri A, Kabbasch C, Fink GR, Langen KJ, Galldiks N. Multimodal imaging findings in patients with glioblastoma with extensive coagulative necrosis related to regorafenib. Neuro Oncol 2023; 25:1193-1195. [PMID: 36960770 PMCID: PMC10237410 DOI: 10.1093/neuonc/noad051] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/25/2023] Open
Affiliation(s)
- Jan-Michael Werner
- Department of Neurology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Michael M Wollring
- Department of Neurology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
- Institute of Neuroscience and Medicine (INM-3, -4), Research Center Juelich, Juelich, Germany
| | - Caroline Tscherpel
- Department of Neurology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
- Institute of Neuroscience and Medicine (INM-3, -4), Research Center Juelich, Juelich, Germany
| | - Elena K Rosen
- Department of Neurology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Lisa Werr
- Department of Experimental Pediatric Oncology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Isabelle Stetter
- Department of Neurology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Daniel Rueß
- Department of Stereotactic and Functional Neurosurgery, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne,Germany
| | - Maximilian I Ruge
- Department of Stereotactic and Functional Neurosurgery, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne,Germany
| | - Anna Brunn
- Institute of Neuropathology, Faculty of Medicine and University Hospital Cologne, Cologne, Germany
| | - Abdulkader Al Shughri
- Institute of Neuropathology, Faculty of Medicine and University Hospital Cologne, Cologne, Germany
| | - Christoph Kabbasch
- Institure of Radiology, Division of Neuroradiology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne,Germany
| | - Gereon R Fink
- Department of Neurology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
- Institute of Neuroscience and Medicine (INM-3, -4), Research Center Juelich, Juelich, Germany
| | - Karl-Josef Langen
- Institute of Neuroscience and Medicine (INM-3, -4), Research Center Juelich, Juelich, Germany
- Department of Nuclear Medicine, University Hospital Aachen, Aachen, Germany
| | - Norbert Galldiks
- Department of Neurology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
- Institute of Neuroscience and Medicine (INM-3, -4), Research Center Juelich, Juelich, Germany
- Center for Integrated Oncology (CIO), Universities of Aachen, Bonn, Cologne, and Duesseldorf, Cologne, Germany
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12
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Salans M, Houri J, Karunamuni R, Hopper A, Delfanti R, Seibert TM, Bahrami N, Sharifzadeh Y, McDonald C, Dale A, Moiseenko V, Farid N, Hattangadi-Gluth JA. The relationship between radiation dose and bevacizumab-related imaging abnormality in patients with brain tumors: A voxel-wise normal tissue complication probability (NTCP) analysis. PLoS One 2023; 18:e0279812. [PMID: 36800342 PMCID: PMC9937457 DOI: 10.1371/journal.pone.0279812] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2022] [Accepted: 12/15/2022] [Indexed: 02/18/2023] Open
Abstract
PURPOSE Bevacizumab-related imaging abnormality (BRIA), appearing as areas of restricted diffusion on magnetic resonance imaging (MRI) and representing atypical coagulative necrosis pathologically, has been observed in patients with brain tumors receiving radiotherapy and bevacizumab. We investigated the role of cumulative radiation dose in BRIA development in a voxel-wise analysis. METHODS Patients (n = 18) with BRIA were identified. All had high-grade gliomas or brain metastases treated with radiotherapy and bevacizumab. Areas of BRIA were segmented semi-automatically on diffusion-weighted MRI with apparent diffusion coefficient (ADC) images. To avoid confounding by possible tumor, hypoperfusion was confirmed with perfusion imaging. ADC images and radiation dose maps were co-registered to a high-resolution T1-weighted MRI and registration accuracy was verified. Voxel-wise normal tissue complication probability analyses were performed using a logistic model analyzing the relationship between cumulative voxel equivalent total dose in 2 Gy fractions (EQD2) and BRIA development at each voxel. Confidence intervals for regression model predictions were estimated with bootstrapping. RESULTS Among 18 patients, 39 brain tumors were treated. Patients received a median of 4.5 cycles of bevacizumab and 1-4 radiation courses prior to BRIA appearance. Most (64%) treated tumors overlapped with areas of BRIA. The median proportion of each BRIA region of interest volume overlapping with tumor was 98%. We found a dose-dependent association between cumulative voxel EQD2 and the relative probability of BRIA (β0 = -5.1, β1 = 0.03 Gy-1, γ = 1.3). CONCLUSIONS BRIA is likely a radiation dose-dependent phenomenon in patients with brain tumors receiving bevacizumab and radiotherapy. The combination of radiation effects and tumor microenvironmental factors in potentiating BRIA in this population should be further investigated.
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Affiliation(s)
- Mia Salans
- Department of Radiation Medicine and Applied Sciences, University of California San Diego, La Jolla, California, United States of America
| | - Jordan Houri
- Department of Radiation Medicine and Applied Sciences, University of California San Diego, La Jolla, California, United States of America
- Carl E. Ravin Advanced Imaging Laboratories, Duke University, Durham, North Carolina, United States of America
| | - Roshan Karunamuni
- Department of Radiation Medicine and Applied Sciences, University of California San Diego, La Jolla, California, United States of America
| | - Austin Hopper
- Department of Radiation Medicine and Applied Sciences, University of California San Diego, La Jolla, California, United States of America
| | - Rachel Delfanti
- Department of Radiology, University of California San Diego, La Jolla, California, United States of America
| | - Tyler M. Seibert
- Department of Radiation Medicine and Applied Sciences, University of California San Diego, La Jolla, California, United States of America
- Department of Bioengineering, University of California San Diego, La Jolla, California, United States of America
| | - Naeim Bahrami
- Department of Radiation Medicine and Applied Sciences, University of California San Diego, La Jolla, California, United States of America
| | - Yasamin Sharifzadeh
- Department of Radiation Medicine and Applied Sciences, University of California San Diego, La Jolla, California, United States of America
| | - Carrie McDonald
- Department of Radiation Medicine and Applied Sciences, University of California San Diego, La Jolla, California, United States of America
- Department of Psychiatry, University of California San Diego, La Jolla, California, United States of America
| | - Anders Dale
- Department of Radiology, University of California San Diego, La Jolla, California, United States of America
- Department of Psychiatry, University of California San Diego, La Jolla, California, United States of America
| | - Vitali Moiseenko
- Department of Radiation Medicine and Applied Sciences, University of California San Diego, La Jolla, California, United States of America
| | - Nikdokht Farid
- Department of Radiology, University of California San Diego, La Jolla, California, United States of America
| | - Jona A. Hattangadi-Gluth
- Department of Radiation Medicine and Applied Sciences, University of California San Diego, La Jolla, California, United States of America
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13
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Agarwal A, Desai A, Gupta V, Vibhute P. Bevacizumab-induced Coagulative Necrosis with Restricted Diffusion. Radiol Imaging Cancer 2022; 4:e220089. [PMID: 36112037 PMCID: PMC9530776 DOI: 10.1148/rycan.220089] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2022] [Revised: 08/07/2022] [Accepted: 08/26/2022] [Indexed: 06/15/2023]
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14
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Johnson DR, Glenn CA, Javan R, Olson JJ. Congress of Neurological Surgeons systematic review and evidence-based guidelines update on the role of imaging in the management of progressive glioblastoma in adults. J Neurooncol 2022; 158:139-165. [PMID: 34694565 DOI: 10.1007/s11060-021-03853-0] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2021] [Accepted: 09/21/2021] [Indexed: 12/27/2022]
Abstract
TARGET POPULATION These recommendations apply to adults with glioblastoma who have been previously treated with first-line radiation or chemoradiotherapy and who are suspected of experiencing tumor progression. QUESTION In patients with previously treated glioblastoma, is standard contrast-enhanced magnetic resonance imaging including diffusion weighted imaging useful for diagnosing tumor progression and differentiating progression from treatment-related changes? LEVEL II Magnetic resonance imaging with and without gadolinium enhancement including diffusion weighted imaging is recommended as the imaging surveillance method to detect the progression of previously diagnosed glioblastoma. QUESTION In patients with previously treated glioblastoma, does magnetic resonance spectroscopy add useful information for diagnosing tumor progression and differentiating progression from treatment-related changes beyond that derived from standard magnetic resonance imaging with and without gadolinium enhancement? LEVEL II Magnetic resonance spectroscopy is recommended as a diagnostic method to differentiate true tumor progression from treatment-related imaging changes or pseudo-progression in patients with suspected progressive glioblastoma. QUESTION In patients with previously treated glioblastoma, does magnetic resonance perfusion add useful information for diagnosing tumor progression and differentiating progression from treatment-related changes beyond that derived from standard magnetic resonance imaging with and without gadolinium enhancement? LEVEL III Magnetic resonance perfusion is suggested as a diagnostic method to differentiate true tumor progression from treatment-related imaging changes or pseudo-progression in patients with suspected progressive glioblastoma. QUESTION In patients with previously treated glioblastoma, does the addition of single-photon emission computed tomography (SPECT) provide additional useful information for diagnosing tumor progression and differentiating progression from treatment-related changes beyond that derived from standard magnetic resonance imaging with and without gadolinium enhancement? LEVEL III Single-photon emission computed tomography imaging is suggested as a diagnostic method to differentiate true tumor progression from treatment-related imaging changes or pseudo-progression in patients with suspected progressive glioblastoma. QUESTION In patients with previously treated glioblastoma, does 18F-fluorodeoxyglucose positron emission tomography add useful information for diagnosing tumor progression and differentiating progression from treatment-related changes beyond that derived from standard magnetic resonance imaging with and without gadolinium enhancement? LEVEL III The routine use of 18F-fluorodeoxyglucose positron emission tomography to identify progression of glioblastoma is not recommended. QUESTION In patients with previously treated glioblastoma, does positron emission tomography with amino acid agents add useful information for diagnosing tumor progression and differentiating progression from treatment-related changes beyond that derived from standard magnetic resonance imaging with and without gadolinium enhancement? LEVEL III It is suggested that amino acid positron emission tomography be considered to assist in the differentiation of progressive glioblastoma from treatment related changes.
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Affiliation(s)
- Derek Richard Johnson
- Department of Radiology, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA.
| | - Chad Allan Glenn
- Department of Neurosurgery, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
| | - Ramin Javan
- Department of Neuroradiology, George Washington University Hospital, Washington, DC, USA
| | - Jeffrey James Olson
- Department of Neurosurgery, Emory University School of Medicine, Atlanta, GA, USA
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15
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Bobholz SA, Lowman AK, Brehler M, Kyereme F, Duenweg SR, Sherman J, McGarry SD, Cochran EJ, Connelly J, Mueller WM, Agarwal M, Banerjee A, LaViolette PS. Radio-Pathomic Maps of Cell Density Identify Brain Tumor Invasion beyond Traditional MRI-Defined Margins. AJNR Am J Neuroradiol 2022; 43:682-688. [PMID: 35422419 PMCID: PMC9089258 DOI: 10.3174/ajnr.a7477] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2021] [Accepted: 02/07/2022] [Indexed: 11/07/2022]
Abstract
BACKGROUND AND PURPOSE Currently, contrast-enhancing margins on T1WI are used to guide treatment of gliomas, yet tumor invasion beyond the contrast-enhancing region is a known confounding factor. Therefore, this study used postmortem tissue samples aligned with clinically acquired MRIs to quantify the relationship between intensity values and cellularity as well as to develop a radio-pathomic model to predict cellularity using MR imaging data. MATERIALS AND METHODS This single-institution study used 93 samples collected at postmortem examination from 44 patients with brain cancer. Tissue samples were processed, stained with H&E, and digitized for nuclei segmentation and cell density calculation. Pre- and postgadolinium contrast T1WI, T2 FLAIR, and ADC images were collected from each patient's final acquisition before death. In-house software was used to align tissue samples to the FLAIR image via manually defined control points. Mixed-effects models were used to assess the relationship between single-image intensity and cellularity for each image. An ensemble learner was trained to predict cellularity using 5 × 5 voxel tiles from each image, with a two-thirds to one-third train-test split for validation. RESULTS Single-image analyses found subtle associations between image intensity and cellularity, with a less pronounced relationship in patients with glioblastoma. The radio-pathomic model accurately predicted cellularity in the test set (root mean squared error = 1015 cells/mm2) and identified regions of hypercellularity beyond the contrast-enhancing region. CONCLUSIONS A radio-pathomic model for cellularity trained with tissue samples acquired at postmortem examination is able to identify regions of hypercellular tumor beyond traditional imaging signatures.
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Affiliation(s)
- S A Bobholz
- From the Departments of Biophysics (S.A.B., S.R.D., J.S., S.D.M.)
| | | | - M Brehler
- Radiology (A.L., M.B., M.A., P.S.L.)
| | | | - S R Duenweg
- From the Departments of Biophysics (S.A.B., S.R.D., J.S., S.D.M.)
| | - J Sherman
- From the Departments of Biophysics (S.A.B., S.R.D., J.S., S.D.M.)
| | - S D McGarry
- From the Departments of Biophysics (S.A.B., S.R.D., J.S., S.D.M.)
| | | | | | | | - M Agarwal
- Radiology (A.L., M.B., M.A., P.S.L.)
| | | | - P S LaViolette
- Radiology (A.L., M.B., M.A., P.S.L.)
- Biomedical Engineering (P.S.L.), Medical College of Wisconsin, Milwaukee, Wisconsin
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16
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Diffusion Restriction Comparison between Gleason 4 Fused Glands and Cribriform Glands within Patient Using Whole-Mount Prostate Pathology as Ground Truth. Tomography 2022; 8:635-643. [PMID: 35314630 PMCID: PMC8938782 DOI: 10.3390/tomography8020053] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2022] [Revised: 02/13/2022] [Accepted: 02/28/2022] [Indexed: 12/16/2022] Open
Abstract
The presence and extent of cribriform patterned Gleason 4 (G4) glands are associated with poor prognosis following radical prostatectomy. This study used whole-mount prostate histology and multiparametric magnetic resonance imaging (MP-MRI) to evaluate diffusion differences in G4 gland morphology. Fourty-eight patients underwent MP-MRI prior to prostatectomy, of whom 22 patients had regions of both G4 cribriform glands and G4 fused glands (G4CG and G4FG, respectively). After surgery, the prostate was sliced using custom, patient-specific 3D-printed slicing jigs modeled according to the T2-weighted MR image, processed, and embedded in paraffin. Whole-mount hematoxylin and eosin-stained slides were annotated by our urologic pathologist and digitally contoured to differentiate the lumen, epithelium, and stroma. Digitized slides were co-registered to the T2-weighted MRI scan. Linear mixed models were fitted to the MP-MRI data to consider the different hierarchical structures at the patient and slide level. We found that Gleason 4 cribriform glands were more diffusion-restricted than fused glands.
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17
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Gaudino S, Marziali G, Giordano C, Gigli R, Varcasia G, Magnani F, Chiesa S, Balducci M, Costantini AM, Della Pepa GM, Olivi A, Russo R, Colosimo C. Regorafenib in Glioblastoma Recurrence: How to Deal With MR Imaging Treatments Changes. FRONTIERS IN RADIOLOGY 2022; 1:790456. [PMID: 37492166 PMCID: PMC10365006 DOI: 10.3389/fradi.2021.790456] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/06/2021] [Accepted: 12/29/2021] [Indexed: 07/27/2023]
Abstract
The treatment of recurrent high-grade gliomas remains a major challenge of daily neuro-oncology practice, and imaging findings of new therapies may be challenging. Regorafenib is a multi-kinase inhibitor that has recently been introduced into clinical practice to treat recurrent glioblastoma, bringing with it a novel panel of MRI imaging findings. On the basis of the few data in the literature and on our personal experience, we have identified the main MRI changes during regorafenib therapy, and then, we defined two different patterns, trying to create a simple summary line of the main changes of pathological tissue during therapy. We named these patterns, respectively, pattern A (less frequent, similar to classical progression disease) and pattern B (more frequent, with decreased diffusivity and decrease contrast-enhancement). We have also reported MR changes concerning signal intensity on T1-weighted and T2-weighted images, SWI, and perfusion imaging, derived from the literature (small series or case reports) and from our clinical experience. The clinical implication of these imaging modifications remains to be defined, taking into account that we are still at the dawn in the evaluation of such imaging modifications.
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Affiliation(s)
- Simona Gaudino
- Department of Diagnostic Imaging, Oncological Radiotherapy and Hematology, Institute of Radiology, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy
- Università Cattolica Sacro Cuore of Rome, Rome, Italy
| | - Giammaria Marziali
- Department of Diagnostic Imaging, Oncological Radiotherapy and Hematology, Institute of Radiology, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy
| | - Carolina Giordano
- Department of Diagnostic Imaging, Oncological Radiotherapy and Hematology, Institute of Radiology, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy
| | - Riccardo Gigli
- Department of Diagnostic Imaging, Oncological Radiotherapy and Hematology, Institute of Radiology, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy
| | - Giuseppe Varcasia
- Department of Diagnostic Imaging, Oncological Radiotherapy and Hematology, Institute of Radiology, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy
| | - Francesca Magnani
- Department of Diagnostic Imaging, Oncological Radiotherapy and Hematology, Institute of Radiology, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy
| | - Silvia Chiesa
- Department of Diagnostic Imaging, Oncological Radiotherapy, and Hematology, UOC di Radioterapia Oncologica, Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy
| | - Mario Balducci
- Università Cattolica Sacro Cuore of Rome, Rome, Italy
- Department of Diagnostic Imaging, Oncological Radiotherapy, and Hematology, UOC di Radioterapia Oncologica, Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy
| | - Alessandro Maria Costantini
- Department of Diagnostic Imaging, Oncological Radiotherapy and Hematology, Institute of Radiology, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy
| | - Giuseppe Maria Della Pepa
- Institute of Neurosurgery, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Catholic University, Rome, Italy
| | - Alessandro Olivi
- Università Cattolica Sacro Cuore of Rome, Rome, Italy
- Institute of Neurosurgery, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Catholic University, Rome, Italy
| | - Rosellina Russo
- Department of Diagnostic Imaging, Oncological Radiotherapy and Hematology, Institute of Radiology, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy
| | - Cesare Colosimo
- Department of Diagnostic Imaging, Oncological Radiotherapy and Hematology, Institute of Radiology, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy
- Università Cattolica Sacro Cuore of Rome, Rome, Italy
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18
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Gumin IS, Malykhina EA, Dzhafarov VM, Katunina EA, Senko IV, Dolgushin MB. First experience of thalamotomy by focused ultrasound under MR-guided navigation in the treatment of tremor. Neuroimaging follow-up. Case report and literature review. ZHURNAL VOPROSY NEIROKHIRURGII IMENI N. N. BURDENKO 2022; 86:81-88. [PMID: 36252197 DOI: 10.17116/neiro20228605181] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/16/2023]
Abstract
The authors describe dynamic MRI and clinical data after non-invasive treatment of tremor in the upper extremity. Thalamotomy by high-intensity focused ultrasound under MR-guided navigation was performed. A 57-year-old patient with Parkinson's disease underwent treatment with focused ultrasound. MRI of the brain was performed 1 and 48 hours, 47 days, 3 and 6 months later. Features of natural course of focal brain changes after treatment, data of MR tractography necessary for correction of target zone are described. The authors conclude that MR changes are characterized by presence of a focus in the area of focused exposure. Peak severity is observed on the second day after procedure with subsequent regression. MR-based analysis of predictors is promising to forecast treatment outcomes.
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Affiliation(s)
- I S Gumin
- Federal Center of Brain Research and Neurotechnologies, Moscow, Russia
| | - E A Malykhina
- Federal Center of Brain Research and Neurotechnologies, Moscow, Russia
- Pirogov Russian National Research Medical University, Moscow, Russia
| | - V M Dzhafarov
- Federal Center of Brain Research and Neurotechnologies, Moscow, Russia
| | - E A Katunina
- Federal Center of Brain Research and Neurotechnologies, Moscow, Russia
- Pirogov Russian National Research Medical University, Moscow, Russia
| | - I V Senko
- Federal Center of Brain Research and Neurotechnologies, Moscow, Russia
| | - M B Dolgushin
- Federal Center of Brain Research and Neurotechnologies, Moscow, Russia
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Abstract
PURPOSE OF REVIEW This review aims to cover current MRI techniques for assessing treatment response in brain tumors, with a focus on radio-induced lesions. RECENT FINDINGS Pseudoprogression and radionecrosis are common radiological entities after brain tumor irradiation and are difficult to distinguish from real progression, with major consequences on daily patient care. To date, shortcomings of conventional MRI have been largely recognized but morphological sequences are still used in official response assessment criteria. Several complementary advanced techniques have been proposed but none of them have been validated, hampering their clinical use. Among advanced MRI, brain perfusion measures increase diagnostic accuracy, especially when added with spectroscopy and susceptibility-weighted imaging. However, lack of reproducibility, because of several hard-to-control variables, is still a major limitation for their standardization in routine protocols. Amide Proton Transfer is an emerging molecular imaging technique that promises to offer new metrics by indirectly quantifying intracellular mobile proteins and peptide concentration. Preliminary studies suggest that this noncontrast sequence may add key biomarkers in tumor evaluation, especially in posttherapeutic settings. SUMMARY Benefits and pitfalls of conventional and advanced imaging on posttreatment assessment are discussed and the potential added value of APT in this clinicoradiological evolving scenario is introduced.
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Affiliation(s)
- Lucia Nichelli
- Department of Neuroradiology, Sorbonne Université, Assistance Publique-Hôpitaux de Paris, Groupe Hospitalier Pitié-Salpêtrière-Charles Foix
- Sorbonne Université, INSERM, CNRS, Assistance Publique-Hôpitaux de Paris, Institut du Cerveau et de la Moelle épinière, boulevard de l’Hôpital, Paris
| | - Stefano Casagranda
- Department of Research & Innovation, Olea Medical, avenue des Sorbiers, La Ciotat, France
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Ahn SS, Cha S. Pre- and Post-Treatment Imaging of Primary Central Nervous System Tumors in the Molecular and Genetic Era. Korean J Radiol 2021; 22:1858-1874. [PMID: 34402244 PMCID: PMC8546137 DOI: 10.3348/kjr.2020.1450] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2020] [Revised: 04/08/2021] [Accepted: 04/09/2021] [Indexed: 11/15/2022] Open
Abstract
Recent advances in the molecular and genetic characterization of central nervous system (CNS) tumors have ushered in a new era of tumor classification, diagnosis, and prognostic assessment. In this emerging and rapidly evolving molecular genetic era, imaging plays a critical role in the preoperative diagnosis and surgical planning, molecular marker prediction, targeted treatment planning, and post-therapy assessment of CNS tumors. This review provides an overview of the current imaging methods relevant to the molecular genetic classification of CNS tumors. Specifically, we focused on 1) the correlates between imaging features and specific molecular genetic markers and 2) the post-therapy imaging used for therapeutic assessment.
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Affiliation(s)
- Sung Soo Ahn
- Department of Radiology, Severance Hospital, Research Institute of Radiological Science and Center for Clinical Image Data Science, Yonsei University College of Medicine, Seoul, Korea.,Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA, USA
| | - Soonmee Cha
- Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA, USA.
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21
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Bobholz SA, Lowman AK, Barrington A, Brehler M, McGarry S, Cochran EJ, Connelly J, Mueller WM, Agarwal M, O'Neill D, Nencka AS, Banerjee A, LaViolette PS. Radiomic Features of Multiparametric MRI Present Stable Associations With Analogous Histological Features in Patients With Brain Cancer. ACTA ACUST UNITED AC 2021; 6:160-169. [PMID: 32548292 PMCID: PMC7289245 DOI: 10.18383/j.tom.2019.00029] [Citation(s) in RCA: 23] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
Magnetic resonance (MR)-derived radiomic features have shown substantial predictive utility in modeling different prognostic factors of glioblastoma and other brain cancers. However, the biological relationship underpinning these predictive models has been largely unstudied, and the generalizability of these models had been called into question. Here, we examine the localized relationship between MR-derived radiomic features and histology-derived “histomic” features using a data set of 16 patients with brain cancer. Tile-based radiomic features were collected on T1, post-contrast T1, FLAIR, and diffusion-weighted imaging (DWI)-derived apparent diffusion coefficient (ADC) images acquired before patient death, with analogous histomic features collected for autopsy samples coregistered to the magnetic resonance imaging. Features were collected for each original image, as well as a 3D wavelet decomposition of each image, resulting in 837 features per MR and histology image. Correlative analyses were used to assess the degree of association between radiomic–histomic pairs for each magnetic resonance imaging. The influence of several confounds was also assessed using linear mixed-effect models for the normalized radiomic–histomic distance, testing for main effects of different acquisition field strengths. Results as a whole were largely heterogeneous, but several features showed substantial associations with their histomic analogs, particularly those derived from the FLAIR and postcontrast T1W images. These features with the strongest association typically presented as stable across field strengths as well. These data suggest that a subset of radiomic features can consistently capture texture information on underlying tissue histology.
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22
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Neuroimaging in the Era of the Evolving WHO Classification of Brain Tumors, From the AJR Special Series on Cancer Staging. AJR Am J Roentgenol 2021; 217:3-15. [PMID: 33502214 DOI: 10.2214/ajr.20.25246] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Abstract
The inclusion of molecular and genetic information with histopathologic information defines the framework for brain tumor classification and grading. This framework is reflected in the major restructuring of the WHO brain tumor classification system in 2016 and in numerous subsequent proposed updates reflecting ongoing developments in understanding the impact of tumor genotype on classification and grading. This incorporation of molecular and genetic features improves tumor diagnosis and prediction of tumor behavior and response to treatment. Neuroimaging is essential for the noninvasive assessment of pretreatment tumor grading and for identification and determination of therapeutic efficacy. Use of conventional neuroimaging and physiologic imaging techniques, such as diffusion- and perfusion-weighted MRI, can increase diagnostic confidence before and after treatment. Although the use of neuroimaging to consistently determine tumor genetics is not yet robust, promising developments are on the horizon. Given the complexity of the brain tumor microenvironment, the development and implementation of a standardized reporting system can aid in conveying to radiologists, referring providers, and patients important information about brain tumor response to treatment. The purpose of this article is to review the current state and role of neuroimaging in this continuously evolving field.
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23
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Hu R, Hoch MJ. Application of Diffusion Weighted Imaging and Diffusion Tensor Imaging in the Pretreatment and Post-treatment of Brain Tumor. Radiol Clin North Am 2021; 59:335-347. [PMID: 33926681 DOI: 10.1016/j.rcl.2021.01.003] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
Diffusion MR imaging exploits the diffusion properties of water to generate contrast between normal tissue and pathology. Diffusion is an essential component of nearly all brain tumor MR imaging examinations. This review covers the important clinical applications of diffusion weighted imaging in the pretreatment diagnosis and grading of brain tumors and assessment of treatment response. Diffusion imaging improves the accuracy of identifying treatment-related effects that may mimic tumor improvement or worsening. Fiber tractography models of eloquent white matter pathways are generated using diffusion tensor imaging. A practical and concise tractography guide is provided for anyone new to preoperative surgical mapping.
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Affiliation(s)
- Ranliang Hu
- Department of Radiology & Imaging Sciences, Emory University, Emory University Hospital, 1364 Clifton Road, BG 20, Atlanta, GA 30322, USA
| | - Michael J Hoch
- Department of Radiology, University of Pennsylvania, Hospital of the University of Pennsylvania, 3400 Spruce Street, Suite 130, Philadelphia, PA 19104, USA.
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24
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Abstract
Neurologic injury arises from treatment of central nervous system malignancies as result of direct toxic effects or indirect vascular, autoimmune, or infectious effects. Multimodality treatment may potentiate both therapeutic and toxic effects. Symptoms range from mild to severe and permanent. Injuries can be immediate or delayed. Many early complications are nonspecific. Other early and delayed neurologic injuries, such as posterior reversible encephalopathy syndrome, dural sinus thrombosis, infarctions, myelopathy, leukoencephalopathy, and hypophysitis, have unique imaging features. This article reviews treatment options for neurologic malignancies and common and uncommon neurologic injuries that can result from treatment, focusing on radiologic features.
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25
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Overcast WB, Davis KM, Ho CY, Hutchins GD, Green MA, Graner BD, Veronesi MC. Advanced imaging techniques for neuro-oncologic tumor diagnosis, with an emphasis on PET-MRI imaging of malignant brain tumors. Curr Oncol Rep 2021; 23:34. [PMID: 33599882 PMCID: PMC7892735 DOI: 10.1007/s11912-021-01020-2] [Citation(s) in RCA: 34] [Impact Index Per Article: 11.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 01/11/2021] [Indexed: 12/15/2022]
Abstract
PURPOSE OF REVIEW This review will explore the latest in advanced imaging techniques, with a focus on the complementary nature of multiparametric, multimodality imaging using magnetic resonance imaging (MRI) and positron emission tomography (PET). RECENT FINDINGS Advanced MRI techniques including perfusion-weighted imaging (PWI), MR spectroscopy (MRS), diffusion-weighted imaging (DWI), and MR chemical exchange saturation transfer (CEST) offer significant advantages over conventional MR imaging when evaluating tumor extent, predicting grade, and assessing treatment response. PET performed in addition to advanced MRI provides complementary information regarding tumor metabolic properties, particularly when performed simultaneously. 18F-fluoroethyltyrosine (FET) PET improves the specificity of tumor diagnosis and evaluation of post-treatment changes. Incorporation of radiogenomics and machine learning methods further improve advanced imaging. The complementary nature of combining advanced imaging techniques across modalities for brain tumor imaging and incorporating technologies such as radiogenomics has the potential to reshape the landscape in neuro-oncology.
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Affiliation(s)
- Wynton B. Overcast
- Department of Radiology and Imaging Sciences, Indiana University School of Medicine, 550 N University Blvd. Room 0663, Indianapolis, IN 46202 USA
| | - Korbin M. Davis
- Department of Radiology and Imaging Sciences, Indiana University School of Medicine, 550 N University Blvd. Room 0663, Indianapolis, IN 46202 USA
| | - Chang Y. Ho
- Department of Radiology and Imaging Sciences, Indiana University School of Medicine, Goodman Hall, 355 West 16th Street, Suite 4100, Indianapolis, IN 46202 USA
| | - Gary D. Hutchins
- Department of Radiology and Imaging Sciences, Indiana University School of Medicine, Research 2 Building (R2), Room E124, 920 W. Walnut Street, Indianapolis, IN 46202-5181 USA
| | - Mark A. Green
- Department of Radiology and Imaging Sciences, Indiana University School of Medicine, Research 2 Building (R2), Room E124, 920 W. Walnut Street, Indianapolis, IN 46202-5181 USA
| | - Brian D. Graner
- Department of Radiology and Imaging Sciences, Indiana University School of Medicine, Goodman Hall, 355 West 16th Street, Suite 4100, Indianapolis, IN 46202 USA
| | - Michael C. Veronesi
- Department of Radiology and Imaging Sciences, Indiana University School of Medicine, Research 2 Building (R2), Room E174, 920 W. Walnut Street, Indianapolis, IN 46202-5181 USA
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26
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Role of Dynamic Susceptibility Contrast Perfusion MRI in Glioma Progression Evaluation. JOURNAL OF ONCOLOGY 2021; 2021:1696387. [PMID: 33628239 PMCID: PMC7886570 DOI: 10.1155/2021/1696387] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/23/2020] [Revised: 01/23/2021] [Accepted: 01/28/2021] [Indexed: 11/18/2022]
Abstract
Accurately and quickly differentiating true progression from pseudoprogression in glioma patients is still a challenge. This study aims to explore if dynamic susceptibility contrast- (DSC-) MRI can improve the evaluation of glioma progression. We enrolled 65 glioma patients with suspected gadolinium-enhancing lesion. Longitudinal MRI follow-up (mean 590 days, range: 210-2670 days) or re-operation (n = 3) was used to confirm true progression (n = 51) and pseudoprogression (n = 14). We assessed the diagnostic performance of each MRI variable and the different combinations. Our results showed that the relative cerebral blood volume (rCBV) in the true progression group (1.094, 95%CI: 1.135-1.636) was significantly higher than that of the pseudoprogression group (0.541 ± 0.154) (p < 0.001). Among the 18 patients who had serial DSC-MRI, the rCBV of the progression group (0.480, 95%CI: 0.173-0.810) differed significantly from pseudoprogression (-0.083, 95%CI: -1.138-0.620) group (p=0.015). With an rCBV threshold of 0.743, the sensitivity and specificity for discriminating true progression from pseudoprogression were 76.5% and 92.9%, respectively. The Cho/Cr and Cho/NAA ratios of the true progression group (2.520, 95%CI: 2.331-2.773; 2.414 ± 0.665, respectively) were higher than those of the pseudoprogression group (1.719 ± 0.664; 1.499 ± 0.500, respectively) ((p=0.001), (p < 0.001), respectively). The areas under ROC curve (AUCs) of enhancement pattern, MRS, and DSC-MRI for the differentiation were 0.782, 0.881, and 0.912, respectively. Interestingly, when combined enhancement pattern, MRS, and DSC-MRI variables, the AUC was 0.965 and achieved sensitivity 90.2% and specificity 100.0%. Our results suggest that DSC-MRI can significantly improve the diagnostic performance for identifying glioma progression. DSC-MRI combined with conventional MRI may promptly distinguish true gliomas progression from pseudoprogression when the suspected gadolinium-enhancing lesion was found, without the need for a long-term follow-up.
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27
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Reuter G, Moïse M, Roll W, Martin D, Lombard A, Scholtes F, Stummer W, Suero Molina E. Conventional and advanced imaging throughout the cycle of care of gliomas. Neurosurg Rev 2021; 44:2493-2509. [PMID: 33411093 DOI: 10.1007/s10143-020-01448-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2020] [Revised: 11/18/2020] [Accepted: 11/23/2020] [Indexed: 10/22/2022]
Abstract
Although imaging of gliomas has evolved tremendously over the last decades, published techniques and protocols are not always implemented into clinical practice. Furthermore, most of the published literature focuses on specific timepoints in glioma management. This article reviews the current literature on conventional and advanced imaging techniques and chronologically outlines their practical relevance for the clinical management of gliomas throughout the cycle of care. Relevant articles were located through the Pubmed/Medline database and included in this review. Interpretation of conventional and advanced imaging techniques is crucial along the entire process of glioma care, from diagnosis to follow-up. In addition to the described currently existing techniques, we expect deep learning or machine learning approaches to assist each step of glioma management through tumor segmentation, radiogenomics, prognostication, and characterization of pseudoprogression. Thorough knowledge of the specific performance, possibilities, and limitations of each imaging modality is key for their adequate use in glioma management.
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Affiliation(s)
- Gilles Reuter
- Department of Neurosurgery, University Hospital of Liège, Liège, Belgium. .,GIGA-CRC In-vivo Imaging Center, ULiege, Liège, Belgium.
| | - Martin Moïse
- Department of Radiology, University Hospital of Liège, Liège, Belgium
| | - Wolfgang Roll
- Department of Nuclear Medicine, University Hospital of Münster, Münster, Germany
| | - Didier Martin
- Department of Neurosurgery, University Hospital of Liège, Liège, Belgium
| | - Arnaud Lombard
- Department of Neurosurgery, University Hospital of Liège, Liège, Belgium
| | - Félix Scholtes
- Department of Neurosurgery, University Hospital of Liège, Liège, Belgium.,Department of Neuroanatomy, University of Liège, Liège, Belgium
| | - Walter Stummer
- Department of Neurosurgery, University Hospital of Münster, Münster, Germany
| | - Eric Suero Molina
- Department of Neurosurgery, University Hospital of Münster, Münster, Germany
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28
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Carr CM, Benson JC, DeLone DR, Diehn FE, Kim DK, Merrell KW, Nagelschneider AA, Madhavan AA, Johnson DR. Intracranial long-term complications of radiation therapy: an image-based review. Neuroradiology 2021; 63:471-482. [PMID: 33392738 DOI: 10.1007/s00234-020-02621-7] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2020] [Accepted: 12/08/2020] [Indexed: 11/28/2022]
Abstract
BACKGROUND AND PURPOSE Radiation therapy is commonly utilized in the majority of solid cancers and many hematologic malignancies and other disorders. While it has an undeniably major role in improving cancer survival, radiation therapy has long been recognized to have various negative effects, ranging from mild to severe. In this manuscript, we review several intracranial manifestations of therapeutic radiation, with particular attention to those that may be encountered by radiologists. METHODS We conducted an extensive literature review of known complications of intracranial radiation therapy. Based on this review, we selected complications that had salient, recognizable imaging findings. We searched our imaging database for illustrative examples of these complications, focusing only on patients who had a history of intracranial radiation therapy. We then selected cases that best exemplified expected imaging findings in these entities. RESULTS Based on our initial literature search and imaging database review, we selected cases of radiation-induced meningioma, radiation-induced glioma, cavernous malformation, enlarging perivascular spaces, leukoencephalopathy, stroke-like migraine after radiation therapy, Moyamoya syndrome, radiation necrosis, radiation-induced labyrinthitis, optic neuropathy, and retinopathy. Although retinopathy is not typically apparent on imaging, it has been included given its clinical overlap with optic neuropathy. CONCLUSIONS We describe the clinical and imaging features of selected sequelae of intracranial radiation therapy, with a focus on those most relevant to practicing radiologists. Knowledge of these complications and their imaging findings is important, because radiologists play a key role in early detection of these entities.
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Affiliation(s)
- Carrie M Carr
- Department of Radiology, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA
| | - John C Benson
- Department of Radiology, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA
| | - David R DeLone
- Department of Radiology, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA
| | - Felix E Diehn
- Department of Radiology, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA
| | - Dong Kun Kim
- Department of Radiology, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA
| | | | - Alex A Nagelschneider
- Department of Radiology, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA
| | - Ajay A Madhavan
- Department of Radiology, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA.
| | - Derek R Johnson
- Department of Radiology, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA
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29
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Gerstner ER, Emblem KE, Yen YF, Dietrich J, Jordan JT, Catana C, Wenchin KL, Hooker JM, Duda DG, Rosen BR, Kalpathy-Cramer J, Jain RK, Batchelor TT. Vascular dysfunction promotes regional hypoxia after bevacizumab therapy in recurrent glioblastoma patients. Neurooncol Adv 2020; 2:vdaa157. [PMID: 33392506 PMCID: PMC7764510 DOI: 10.1093/noajnl/vdaa157] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022] Open
Abstract
Background Hypoxia is a driver of treatment resistance in glioblastoma. Antiangiogenic agents may transiently normalize blood vessels and decrease hypoxia before excessive pruning of vessels increases hypoxia. The time window of normalization is dose and time dependent. We sought to determine how VEGF blockade with bevacizumab modulates tumor vasculature and the impact that those vascular changes have on hypoxia in recurrent glioblastoma patients. Methods We measured tumor volume, vascular permeability (Ktrans), perfusion parameters (cerebral blood flow/volume, vessel caliber, and mean transit time), and regions of hypoxia in patients with recurrent glioblastoma before and after treatment with bevacizumab alone or with lomustine using [18F]FMISO PET-MRI. We also examined serial changes in plasma biomarkers of angiogenesis and inflammation. Results Eleven patients were studied. The magnitude of global tumor hypoxia was variable across these 11 patients prior to treatment and it did not significantly change after bevacizumab. The hypoxic regions had an inefficient vasculature characterized by elevated cerebral blood flow/volume and increased vessel caliber. In a subset of patients, there were tumor subregions with decreased mean transit times and a decrease in hypoxia, suggesting heterogeneous improvement in vascular efficiency. Bevacizumab significantly changed known pharmacodynamic biomarkers such as plasma VEGF and PlGF. Conclusions The vascular signature in hypoxic tumor regions indicates a disorganized vasculature which, in most tumors, does not significantly change after bevacizumab treatment. While some tumor regions showed improved vascular efficiency following treatment, bevacizumab did not globally alter hypoxia or normalize tumor vasculature in glioblastoma.
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Affiliation(s)
- Elizabeth R Gerstner
- Stephen E. and Catherine Pappas Center for Neuro-Oncology, Massachusetts General Hospital, Boston, Massachusetts, USA.,Harvard Medical School, Boston, Massachusetts, USA
| | - Kyrre E Emblem
- Department of Diagnostic Physics, Oslo University, Oslo, Norway
| | - Yi-Fen Yen
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, Massachusetts, USA.,Harvard Medical School, Boston, Massachusetts, USA
| | - Jorg Dietrich
- Stephen E. and Catherine Pappas Center for Neuro-Oncology, Massachusetts General Hospital, Boston, Massachusetts, USA.,Harvard Medical School, Boston, Massachusetts, USA
| | - Justin T Jordan
- Stephen E. and Catherine Pappas Center for Neuro-Oncology, Massachusetts General Hospital, Boston, Massachusetts, USA.,Harvard Medical School, Boston, Massachusetts, USA
| | - Ciprian Catana
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, Massachusetts, USA.,Harvard Medical School, Boston, Massachusetts, USA
| | - Kevin Lou Wenchin
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, Massachusetts, USA
| | - Jacob M Hooker
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, Massachusetts, USA.,Harvard Medical School, Boston, Massachusetts, USA
| | - Dan G Duda
- Edwin L. Steele Laboratories, Department of Radiation Oncology, Massachusetts General Hospital, Boston, Massachusetts, USA.,Harvard Medical School, Boston, Massachusetts, USA
| | - Bruce R Rosen
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, Massachusetts, USA.,Harvard Medical School, Boston, Massachusetts, USA
| | - Jayashree Kalpathy-Cramer
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, Massachusetts, USA.,Harvard Medical School, Boston, Massachusetts, USA
| | - Rakesh K Jain
- Edwin L. Steele Laboratories, Department of Radiation Oncology, Massachusetts General Hospital, Boston, Massachusetts, USA.,Harvard Medical School, Boston, Massachusetts, USA
| | - Tracy T Batchelor
- Department of Neurology, Brigham and Women's Hospital, Boston, Massachusetts, USA.,Harvard Medical School, Boston, Massachusetts, USA
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30
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McGarry SD, Bukowy JD, Iczkowski KA, Lowman AK, Brehler M, Bobholz S, Nencka A, Barrington A, Jacobsohn K, Unteriner J, Duvnjak P, Griffin M, Hohenwalter M, Keuter T, Huang W, Antic T, Paner G, Palangmonthip W, Banerjee A, LaViolette PS. Radio-pathomic mapping model generated using annotations from five pathologists reliably distinguishes high-grade prostate cancer. J Med Imaging (Bellingham) 2020; 7:054501. [PMID: 32923510 PMCID: PMC7479263 DOI: 10.1117/1.jmi.7.5.054501] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2020] [Accepted: 08/20/2020] [Indexed: 12/19/2022] Open
Abstract
Purpose: Our study predictively maps epithelium density in magnetic resonance imaging (MRI) space while varying the ground truth labels provided by five pathologists to quantify the downstream effects of interobserver variability. Approach: Clinical imaging and postsurgical tissue from 48 recruited prospective patients were used in our study. Tissue was sliced to match the MRI orientation and whole-mount slides were stained and digitized. Data from 28 patients ( n = 33 slides) were sent to five pathologists to be annotated. Slides from the remaining 20 patients ( n = 123 slides) were annotated by one of the five pathologists. Interpathologist variability was measured using Krippendorff's alpha. Pathologist-specific radiopathomic mapping models were trained using a partial least-squares regression using MRI values to predict epithelium density, a known marker for disease severity. An analysis of variance characterized intermodel means difference in epithelium density. A consensus model was created and evaluated using a receiver operator characteristic classifying high grade versus low grade and benign, and was statistically compared to apparent diffusion coefficient (ADC). Results: Interobserver variability ranged from low to acceptable agreement (0.31 to 0.69). There was a statistically significant difference in mean predicted epithelium density values ( p < 0.001 ) between the five models. The consensus model outperformed ADC (areas under the curve = 0.80 and 0.71, respectively, p < 0.05 ). Conclusion: We demonstrate that radiopathomic maps of epithelium density are sensitive to the pathologist annotating the dataset; however, it is unclear if these differences are clinically significant. The consensus model produced the best maps, matched the performance of the best individual model, and outperformed ADC.
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Affiliation(s)
- Sean D McGarry
- Medical College of Wisconsin, Department of Biophysics, Milwaukee, Wisconsin, United States
| | - John D Bukowy
- Medical College of Wisconsin, Department of Radiology, Milwaukee, Wisconsin, United States
| | - Kenneth A Iczkowski
- Medical College of Wisconsin, Department of Pathology, Milwaukee, Wisconsin, United States
| | - Allison K Lowman
- Medical College of Wisconsin, Department of Radiology, Milwaukee, Wisconsin, United States
| | - Michael Brehler
- Medical College of Wisconsin, Department of Radiology, Milwaukee, Wisconsin, United States
| | - Samuel Bobholz
- Medical College of Wisconsin, Department of Biophysics, Milwaukee, Wisconsin, United States
| | - Andrew Nencka
- Medical College of Wisconsin, Department of Radiology, Milwaukee, Wisconsin, United States
| | - Alex Barrington
- Medical College of Wisconsin, Department of Radiology, Milwaukee, Wisconsin, United States
| | - Kenneth Jacobsohn
- Medical College of Wisconsin, Department of Urological Surgery, Milwaukee, Wisconsin, United States
| | - Jackson Unteriner
- Medical College of Wisconsin, Department of Radiology, Milwaukee, Wisconsin, United States
| | - Petar Duvnjak
- Medical College of Wisconsin, Department of Radiology, Milwaukee, Wisconsin, United States
| | - Michael Griffin
- Medical College of Wisconsin, Department of Radiology, Milwaukee, Wisconsin, United States
| | - Mark Hohenwalter
- Medical College of Wisconsin, Department of Radiology, Milwaukee, Wisconsin, United States
| | - Tucker Keuter
- Medical College of Wisconsin, Department of Biostatistics, Milwaukee, Wisconsin, United States
| | - Wei Huang
- University of Wisconsin-Madison, Department of Pathology, Madison, Wisconsin, United States
| | - Tatjana Antic
- University of Chicago, Department of Pathology, Chicago, Illinois, United States
| | - Gladell Paner
- University of Chicago, Department of Pathology, Chicago, Illinois, United States
| | - Watchareepohn Palangmonthip
- Medical College of Wisconsin, Department of Pathology, Milwaukee, Wisconsin, United States.,Chiang Mai University, Department of Pathology, Faculty of Medicine, Chiang Mai, Thailand
| | - Anjishnu Banerjee
- Medical College of Wisconsin, Department of Biostatistics, Milwaukee, Wisconsin, United States
| | - Peter S LaViolette
- Medical College of Wisconsin, Department of Radiology, Milwaukee, Wisconsin, United States.,Medical College of Wisconsin, Department of Biomedical Engineering, Milwaukee, Wisconsin, United States
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31
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Park JE, Kim HS, Park SY, Jung SC, Kim JH, Heo HY. Identification of Early Response to Anti-Angiogenic Therapy in Recurrent Glioblastoma: Amide Proton Transfer–weighted and Perfusion-weighted MRI compared with Diffusion-weighted MRI. Radiology 2020; 295:397-406. [DOI: 10.1148/radiol.2020191376] [Citation(s) in RCA: 25] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/07/2023]
Affiliation(s)
- Ji Eun Park
- From the Department of Radiology and Research Institute of Radiology (J.E.P., H.S.K., S.C.J.), Department of Clinical Epidemiology and Biostatistics (S.Y.P.), and Department of Neurosurgery (J.H.K.), University of Ulsan College of Medicine, Asan Medical Center, 43 Olympic-ro 88, Songpa-Gu, Seoul 05505, Korea; and Department of Radiology, Johns Hopkins University, Baltimore, Md (H.Y.H.)
| | - Ho Sung Kim
- From the Department of Radiology and Research Institute of Radiology (J.E.P., H.S.K., S.C.J.), Department of Clinical Epidemiology and Biostatistics (S.Y.P.), and Department of Neurosurgery (J.H.K.), University of Ulsan College of Medicine, Asan Medical Center, 43 Olympic-ro 88, Songpa-Gu, Seoul 05505, Korea; and Department of Radiology, Johns Hopkins University, Baltimore, Md (H.Y.H.)
| | - Seo Young Park
- From the Department of Radiology and Research Institute of Radiology (J.E.P., H.S.K., S.C.J.), Department of Clinical Epidemiology and Biostatistics (S.Y.P.), and Department of Neurosurgery (J.H.K.), University of Ulsan College of Medicine, Asan Medical Center, 43 Olympic-ro 88, Songpa-Gu, Seoul 05505, Korea; and Department of Radiology, Johns Hopkins University, Baltimore, Md (H.Y.H.)
| | - Seung Chai Jung
- From the Department of Radiology and Research Institute of Radiology (J.E.P., H.S.K., S.C.J.), Department of Clinical Epidemiology and Biostatistics (S.Y.P.), and Department of Neurosurgery (J.H.K.), University of Ulsan College of Medicine, Asan Medical Center, 43 Olympic-ro 88, Songpa-Gu, Seoul 05505, Korea; and Department of Radiology, Johns Hopkins University, Baltimore, Md (H.Y.H.)
| | - Jeong Hoon Kim
- From the Department of Radiology and Research Institute of Radiology (J.E.P., H.S.K., S.C.J.), Department of Clinical Epidemiology and Biostatistics (S.Y.P.), and Department of Neurosurgery (J.H.K.), University of Ulsan College of Medicine, Asan Medical Center, 43 Olympic-ro 88, Songpa-Gu, Seoul 05505, Korea; and Department of Radiology, Johns Hopkins University, Baltimore, Md (H.Y.H.)
| | - Hye-Young Heo
- From the Department of Radiology and Research Institute of Radiology (J.E.P., H.S.K., S.C.J.), Department of Clinical Epidemiology and Biostatistics (S.Y.P.), and Department of Neurosurgery (J.H.K.), University of Ulsan College of Medicine, Asan Medical Center, 43 Olympic-ro 88, Songpa-Gu, Seoul 05505, Korea; and Department of Radiology, Johns Hopkins University, Baltimore, Md (H.Y.H.)
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Park JE, Kim HS. [Current Applications and Future Perspectives of Brain Tumor Imaging]. TAEHAN YONGSANG UIHAKHOE CHI 2020; 81:467-487. [PMID: 36238631 PMCID: PMC9431910 DOI: 10.3348/jksr.2020.81.3.467] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/14/2020] [Revised: 05/04/2020] [Accepted: 05/07/2020] [Indexed: 11/29/2022]
Abstract
뇌종양의 진단 및 치료 반응 평가의 기본이 되는 영상기법은 해부학적 영상이다. 현재 임상에서 사용 가능한 영상기법들 중 확산 강조 영상 및 관류 영상이 추가적인 정보를 제공하고 있다. 최근에는 종양의 유전체 변이와 이질성 평가가 중요해지면서 라디오믹스와 딥러닝을 이용한 영상분석기법의 임상 응용이 기대되고 있다. 본 종설에서는 뇌종양 영상 임상 적용에서 여전히 중요한 해부학적 영상을 중심으로 한 자기공명영상 촬영 권고안, 최신 영상기법 중 확산 강조 영상 및 관류 영상의 기본 원리, 병태생리학적 배경 및 임상응용, 마지막으로 최근 컴퓨터 기술의 발전으로 많이 연구되고 있는 라디오믹스와 딥러닝의 뇌종양에서의 향후 활용가치에 대해 기술하고자 한다.
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Mendel JT, Jaster AW, Yu FF, Morris LC, Lynch PT, Shah BR, Agarwal A, Timmerman RD, Nedzi LA, Raj KM. Fundamentals of Radiation Oncology for Neurologic Imaging. Radiographics 2020; 40:827-858. [PMID: 32216705 DOI: 10.1148/rg.2020190138] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
Although the physical and biologic principles of radiation therapy have remained relatively unchanged, a technologic renaissance has led to continuous and ever-changing growth in the field of radiation oncology. As a result, medical devices, techniques, and indications have changed considerably during the past 20-30 years. For example, advances in CT and MRI have revolutionized the treatment planning process for a variety of central nervous system diseases, including primary and metastatic tumors, vascular malformations, and inflammatory diseases. The resultant improved ability to delineate normal from abnormal tissue has enabled radiation oncologists to achieve more precise targeting and helped to mitigate treatment-related complications. Nevertheless, posttreatment complications still occur and can pose a diagnostic challenge for radiologists. These complications can be divided into acute, early-delayed, and late-delayed complications on the basis of the time that they manifest after radiation therapy and include leukoencephalopathy, vascular complications, and secondary neoplasms. The different irradiation technologies and applications of these technologies in the brain, current concepts used in treatment planning, and essential roles of the radiation oncologist in the setting of brain disease are reviewed. In addition, relevant imaging findings that can be used to delineate the extent of disease before treatment, and the expected posttreatment imaging changes are described. Common and uncommon complications related to radiation therapy and the associated imaging manifestations also are discussed. Familiarity with these entities may aid the radiologist in making the diagnosis and help guide appropriate management. ©RSNA, 2020.
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Affiliation(s)
- J Travis Mendel
- From the Departments of Radiation Oncology (J.T.M., P.T.L., R.D.T., L.A.N.) and Radiology (A.W.J., F.F.Y., L.C.M., B.R.S., A.A., K.M.R.), The University of Texas Southwestern Medical Center, 5323 Harry Hines Blvd, Dallas, TX 75390
| | - Adam W Jaster
- From the Departments of Radiation Oncology (J.T.M., P.T.L., R.D.T., L.A.N.) and Radiology (A.W.J., F.F.Y., L.C.M., B.R.S., A.A., K.M.R.), The University of Texas Southwestern Medical Center, 5323 Harry Hines Blvd, Dallas, TX 75390
| | - Fang F Yu
- From the Departments of Radiation Oncology (J.T.M., P.T.L., R.D.T., L.A.N.) and Radiology (A.W.J., F.F.Y., L.C.M., B.R.S., A.A., K.M.R.), The University of Texas Southwestern Medical Center, 5323 Harry Hines Blvd, Dallas, TX 75390
| | - Lee C Morris
- From the Departments of Radiation Oncology (J.T.M., P.T.L., R.D.T., L.A.N.) and Radiology (A.W.J., F.F.Y., L.C.M., B.R.S., A.A., K.M.R.), The University of Texas Southwestern Medical Center, 5323 Harry Hines Blvd, Dallas, TX 75390
| | - Patrick T Lynch
- From the Departments of Radiation Oncology (J.T.M., P.T.L., R.D.T., L.A.N.) and Radiology (A.W.J., F.F.Y., L.C.M., B.R.S., A.A., K.M.R.), The University of Texas Southwestern Medical Center, 5323 Harry Hines Blvd, Dallas, TX 75390
| | - Bhavya R Shah
- From the Departments of Radiation Oncology (J.T.M., P.T.L., R.D.T., L.A.N.) and Radiology (A.W.J., F.F.Y., L.C.M., B.R.S., A.A., K.M.R.), The University of Texas Southwestern Medical Center, 5323 Harry Hines Blvd, Dallas, TX 75390
| | - Amit Agarwal
- From the Departments of Radiation Oncology (J.T.M., P.T.L., R.D.T., L.A.N.) and Radiology (A.W.J., F.F.Y., L.C.M., B.R.S., A.A., K.M.R.), The University of Texas Southwestern Medical Center, 5323 Harry Hines Blvd, Dallas, TX 75390
| | - Robert D Timmerman
- From the Departments of Radiation Oncology (J.T.M., P.T.L., R.D.T., L.A.N.) and Radiology (A.W.J., F.F.Y., L.C.M., B.R.S., A.A., K.M.R.), The University of Texas Southwestern Medical Center, 5323 Harry Hines Blvd, Dallas, TX 75390
| | - Lucien A Nedzi
- From the Departments of Radiation Oncology (J.T.M., P.T.L., R.D.T., L.A.N.) and Radiology (A.W.J., F.F.Y., L.C.M., B.R.S., A.A., K.M.R.), The University of Texas Southwestern Medical Center, 5323 Harry Hines Blvd, Dallas, TX 75390
| | - Karuna M Raj
- From the Departments of Radiation Oncology (J.T.M., P.T.L., R.D.T., L.A.N.) and Radiology (A.W.J., F.F.Y., L.C.M., B.R.S., A.A., K.M.R.), The University of Texas Southwestern Medical Center, 5323 Harry Hines Blvd, Dallas, TX 75390
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Leao DJ, Craig PG, Godoy LF, Leite CC, Policeni B. Response Assessment in Neuro-Oncology Criteria for Gliomas: Practical Approach Using Conventional and Advanced Techniques. AJNR Am J Neuroradiol 2020; 41:10-20. [PMID: 31857322 PMCID: PMC6975322 DOI: 10.3174/ajnr.a6358] [Citation(s) in RCA: 86] [Impact Index Per Article: 21.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2019] [Accepted: 10/29/2019] [Indexed: 01/08/2023]
Abstract
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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Affiliation(s)
- D J Leao
- From the Cancer Hospital of Federal University of Uberlandia (D.J.L.), Uberlandia, Brazil
| | - P G Craig
- Department of Radiology, (P.G.C., B.P.), University of Iowa Hospitals and Clinics, Iowa City, Iowa
| | - L F Godoy
- Department of Diagnostic Radiology (L.F.G.), Hospital Sirio-Libanes, Sao Paulo, Brazil
- Department of Neuroradiology (L.F.G., C.C.L.), Faculdade de Medicina Instituto de Radiologia, Universidade de Sao Paulo Neuroradiology, Sao Paulo, Brazil
| | - C C Leite
- Department of Neuroradiology (L.F.G., C.C.L.), Faculdade de Medicina Instituto de Radiologia, Universidade de Sao Paulo Neuroradiology, Sao Paulo, Brazil
| | - B Policeni
- Department of Radiology, (P.G.C., B.P.), University of Iowa Hospitals and Clinics, Iowa City, Iowa
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Zhang L. Glioma characterization based on magnetic resonance imaging: Challenge overview and future perspective. GLIOMA 2020. [DOI: 10.4103/glioma.glioma_9_20] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022] Open
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Lee CY, Kalra A, Spampinato MV, Tabesh A, Jensen JH, Helpern JA, de Fatima Falangola M, Van Horn MH, Giglio P. Early assessment of recurrent glioblastoma response to bevacizumab treatment by diffusional kurtosis imaging: a preliminary report. Neuroradiol J 2019; 32:317-327. [PMID: 31282311 DOI: 10.1177/1971400919861409] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
Abstract
PURPOSE The purpose of this preliminary study is to apply diffusional kurtosis imaging to assess the early response of recurrent glioblastoma to bevacizumab treatment. METHODS This prospective cohort study included 10 patients who had been diagnosed with recurrent glioblastoma and scheduled to receive bevacizumab treatment. Diffusional kurtosis images were obtained from all the patients 0-7 days before (pre-bevacizumab) and 28 days after (post-bevacizumab) initiating bevacizumab treatment. The mean, 10th, and 90th percentile values were derived from the histogram of diffusional kurtosis imaging metrics in enhancing and non-enhancing lesions, selected on post-contrast T1-weighted and fluid-attenuated inversion recovery images. Correlations of imaging measures with progression-free survival and overall survival were evaluated using Spearman's rank correlation coefficient. The significance level was set at P < 0.05. RESULTS Higher pre-bevacizumab non-enhancing lesion volume was correlated with poor overall survival (r = -0.65, P = 0.049). Higher post-bevacizumab mean diffusivity and axial diffusivity (D∥, D∥10% and D∥90%) in non-enhancing lesions were correlated with poor progression-free survival (r = -0.73, -0.83, -0.71 and -0.85; P < 0.05). Lower post-bevacizumab axial kurtosis (K∥10%) in non-enhancing lesions was correlated with poor progression-free survival (r = 0.81, P = 0.008). CONCLUSIONS This preliminary study demonstrates that diffusional kurtosis imaging metrics allow the detection of tissue changes 28 days after initiating bevacizumab treatment and that they may provide information about tumor progression.
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Affiliation(s)
- Chu-Yu Lee
- 1 Department of Radiology and Radiological Science, Medical University of South Carolina, USA.,2 Center for Biomedical Imaging, Medical University of South Carolina, USA
| | - Amandeep Kalra
- 3 Department of Neuroscience, Medical University of South Carolina, USA.,4 Sarah Cannon Cancer Institute, USA
| | - Maria V Spampinato
- 1 Department of Radiology and Radiological Science, Medical University of South Carolina, USA.,2 Center for Biomedical Imaging, Medical University of South Carolina, USA
| | - Ali Tabesh
- 1 Department of Radiology and Radiological Science, Medical University of South Carolina, USA.,2 Center for Biomedical Imaging, Medical University of South Carolina, USA
| | - Jens H Jensen
- 1 Department of Radiology and Radiological Science, Medical University of South Carolina, USA.,2 Center for Biomedical Imaging, Medical University of South Carolina, USA.,3 Department of Neuroscience, Medical University of South Carolina, USA
| | - Joseph A Helpern
- 1 Department of Radiology and Radiological Science, Medical University of South Carolina, USA.,2 Center for Biomedical Imaging, Medical University of South Carolina, USA.,3 Department of Neuroscience, Medical University of South Carolina, USA.,5 Department of Neurology, Medical University of South Carolina, USA
| | - Maria de Fatima Falangola
- 1 Department of Radiology and Radiological Science, Medical University of South Carolina, USA.,2 Center for Biomedical Imaging, Medical University of South Carolina, USA.,3 Department of Neuroscience, Medical University of South Carolina, USA
| | - Mark H Van Horn
- 1 Department of Radiology and Radiological Science, Medical University of South Carolina, USA.,2 Center for Biomedical Imaging, Medical University of South Carolina, USA
| | - Pierre Giglio
- 3 Department of Neuroscience, Medical University of South Carolina, USA.,6 Department of Neurology, The Ohio State University Wexner Medical Center, USA
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MR Imaging-Histology Correlation by Tailored 3D-Printed Slicer in Oncological Assessment. CONTRAST MEDIA & MOLECULAR IMAGING 2019; 2019:1071453. [PMID: 31275082 PMCID: PMC6560325 DOI: 10.1155/2019/1071453] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/01/2019] [Accepted: 05/12/2019] [Indexed: 12/14/2022]
Abstract
3D printing and reverse engineering are innovative technologies that are revolutionizing scientific research in the health sciences and related clinical practice. Such technologies are able to improve the development of various custom-made medical devices while also lowering design and production costs. Recent advances allow the printing of particularly complex prototypes whose geometry is drawn from precise computer models designed on in vivo imaging data. This review summarizes a new method for histological sample processing (applicable to e.g., the brain, prostate, liver, and renal mass) which employs a personalized mold developed from diagnostic images through computer-aided design software and 3D printing. Through positioning the custom mold in a coherent manner with respect to the organ of interest (as delineated by in vivo imaging data), the cutting instrument can be precisely guided in order to obtain blocks of tissue which correspond with high accuracy to the slices imaged. This approach appeared crucial for validation of new quantitative imaging tools, for an accurate imaging-histopathological correlation and for the assessment of radiogenomic features extracted from oncological lesions. The aim of this review is to define and describe 3D printing technologies which are applicable to oncological assessment and slicer design, highlighting the radiological and pathological perspective as well as recent applications of this approach for the histological validation of and correlation with MR images.
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Hong EK, Joo I, Park J, Lee K. Assessment of hepatic sinusoidal obstruction syndrome with intravoxel incoherent motion diffusion-weighted imaging: An experimental study in a rat model. J Magn Reson Imaging 2019; 51:81-89. [PMID: 31094055 DOI: 10.1002/jmri.26790] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2019] [Revised: 04/29/2019] [Accepted: 04/29/2019] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND Intravoxel incoherent motion (IVIM) diffusion-weighted imaging (DWI) parameters may reflect perfusion and diffusion changes in hepatic sinusoidal obstruction syndrome (SOS). PURPOSE To investigate the feasibility of IVIM-DWI in the noninvasive assessment of hepatic SOS in an experimental rat model. STUDY TYPE Animal study. POPULATION/SUBJECTS Forty-four rats were administered different doses (90 or 160 mg/kg) of monocrotaline by gavage either 48 or 72 hours before MRI to induce different degrees of hepatic SOS, and another 10 rats served as controls. FIELD STRENGTH/SEQUENCE 3T scanner, IVIM-DWI using nine b values (0-800 sec/mm2 ). ASSESSMENT Histologically, rats were classified as having none (n = 10), mild (n = 8), moderate (n = 19), or severe SOS (n = 17). The apparent diffusion coefficient (ADC) and IVIM-derived parameters (D: true diffusion coefficient, D*: pseudo-diffusion coefficient, and f: perfusion fraction) of the liver parenchyma were measured. STATISTICAL TESTS IVIM-DWI parameters were compared according to histologic grades of SOS (none, mild, moderate, and severe), and receiver operating characteristic (ROC) curve analysis was performed to determine the diagnostic accuracy. RESULTS ADC, D, and f of the liver parenchyma were significantly different according to SOS severity groups (Ps < 0.01) and significantly decreased as SOS severity increased (rho = -0.323, -0.313, and -0.700; P = 0.017, 0.021, and <0.001, respectively). Means of f in none, mild, moderate, and severe SOS were 17.2%, 13.3%, 12.3%, and 11.1%, respectively. Among ADC and IVIM-derived parameters, f provided the highest area under the ROC curves for detecting ≥mild, ≥moderate, and severe SOS (0.991, 0.890, and 0.803, respectively). DATA CONCLUSION IVIM-DWI may be useful in the diagnosis and severity assessment of hepatic SOS. LEVEL OF EVIDENCE 2 Technical Efficacy Stage: 2 J. Magn. Reson. Imaging 2020;51:81-89.
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Affiliation(s)
- Eun Kyoung Hong
- Department of Radiology, Seoul National University Hospital, Seoul, Korea.,Department of Radiology, Seoul National University College of Medicine, Seoul, Korea
| | - Ijin Joo
- Department of Radiology, Seoul National University Hospital, Seoul, Korea.,Department of Radiology, Seoul National University College of Medicine, Seoul, Korea
| | - Juil Park
- Department of Radiology, Seoul National University Hospital, Seoul, Korea.,Department of Radiology, Seoul National University College of Medicine, Seoul, Korea
| | - Kyoungbun Lee
- Department of Pathology, Seoul National University Hospital, Seoul, Korea
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Lankford KL, Arroyo EJ, Kocsis JD. Postirradiation Necrosis after Slow Microvascular Breakdown in the Adult Rat Spinal Cord is Delayed by Minocycline Treatment. Radiat Res 2018; 190:151-163. [PMID: 29799318 DOI: 10.1667/rr15039.1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Abstract
To better understand the spatiotemporal course of radiation-induced central nervous system (CNS) vascular necrosis and assess the therapeutic potential of approaches for protecting against radiation-induced necrosis, adult female Sprague Dawley rats received 40 Gy surface dose centered on the T9 thoracic spinal cord segment. Locomotor function, blood-spinal cord barrier (BSCB) integrity and histology were evaluated throughout the study. No functional symptoms were observed for several months postirradiation. However, a sudden onset of paralysis was observed at approximately 5.5 months postirradiation. The progression rapidly led to total paralysis and death within less than 48 h of symptom onset. Open-field locomotor scores and rotarod motor coordination testing showed no evidence of neurological impairment prior to the onset of overt paralysis. Histological examination revealed minimal changes to the vasculature prior to symptom onset. However, Evans blue dye (EvB) extravasation revealed a progressive deterioration of BSCB integrity, beginning at one week postirradiation, affecting regions well outside of the irradiated area. Minocycline treatment significantly delayed the onset of paralysis. The results of this study indicate that extensive asymptomatic disruption of the blood-CNS barrier may precede onset of vascular breakdown by several months and suggests that minocycline treatment has a therapeutic effect by delaying radiation-induced necrosis after CNS irradiation.
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Affiliation(s)
- Karen L Lankford
- Department of Neurology, Yale University School of Medicine, West Haven, Connecticut
| | - Edgardo J Arroyo
- Center for Neuroscience Regeneration Research, VA Connecticut Healthcare System, West Haven, Connecticut
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Chen BB, Lu YS, Yu CW, Lin CH, Chen TWW, Wei SY, Cheng AL, Shih TTF. Imaging biomarkers from multiparametric magnetic resonance imaging are associated with survival outcomes in patients with brain metastases from breast cancer. Eur Radiol 2018; 28:4860-4870. [PMID: 29770848 DOI: 10.1007/s00330-018-5448-5] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2017] [Revised: 03/02/2018] [Accepted: 03/23/2018] [Indexed: 01/06/2023]
Abstract
OBJECTIVES The aim of this study is to investigate the correlation of survival outcomes with imaging biomarkers from multiparametric magnetic resonance imaging (MRI) in patients with brain metastases from breast cancer (BMBC). METHODS This study was approved by the institutional review board. Twenty-two patients with BMBC who underwent treatment involving bevacizumab on day 1, etoposide on days 2-4, and cisplatin on day 2 in 21-day cycles were prospectively enrolled for a phase II study. Three brain MRIs were performed: before the treatment, on day 1, and on day 21. Eight imaging biomarkers were derived from dynamic contrast-enhanced MRI (Peak, IAUC60, Ktrans, kep, ve), diffusion-weighted imaging [apparent diffusion coefficient (ADC)], and MR spectroscopy (choline/N-acetylaspartate and choline/creatine ratios). The relative changes (Δ) in these biomarkers were correlated with the central nervous system (CNS)-specific progression-free survival (PFS) and overall survival (OS) using the Kaplan-Meier and Cox proportional hazard models. RESULTS There were no significant differences in the survival outcomes as per the changes in the biomarkers on day 1. On day 21, those with a low ΔKtrans (p = 0.024) or ΔADC (p = 0.053) reduction had shorter CNS-specific PFS; further, those with a low ΔPeak (p = 0.012) or ΔIAUC60 (p = 0.04) reduction had shorter OS compared with those with high reductions. In multivariate analyses, ΔKtrans and ΔPeak were independent prognostic factors for CNS-specific PFS and OS, respectively, after controlling for age, size, hormone receptors, and performance status. CONCLUSIONS Multiparametric MRI may help predict the survival outcomes in patients with BMBC. KEY POINTS • Decreased angiogenesis after chemotherapy on day 21 indicated good survival outcome. • ΔK trans was an independent prognostic factors for CNS-specific PFS. • ΔPeak was an independent prognostic factors for OS. • Multiparametric MRI helps clinicians to assess patients with BMBC. • High-risk patients may benefit from more intensive follow-up or treatment strategies.
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Affiliation(s)
- Bang-Bin Chen
- Department of Radiology, College of Medicine, National Taiwan University, Taipei, Taiwan
- Department of Medical Imaging, National Taiwan University Hospital, No. 7, Chung-Shan South Rd, Taipei, 10016, Taiwan
| | - Yen-Shen Lu
- Department of Oncology, National Taiwan University Hospital, Taipei, Taiwan
- Department of Internal Medicine, College of Medicine, National Taiwan University, Taipei, Taiwan
| | - Chih-Wei Yu
- Department of Radiology, College of Medicine, National Taiwan University, Taipei, Taiwan
- Department of Medical Imaging, National Taiwan University Hospital, No. 7, Chung-Shan South Rd, Taipei, 10016, Taiwan
| | - Ching-Hung Lin
- Department of Oncology, National Taiwan University Hospital, Taipei, Taiwan
- Department of Internal Medicine, College of Medicine, National Taiwan University, Taipei, Taiwan
| | - Tom Wei-Wu Chen
- Department of Oncology, National Taiwan University Hospital, Taipei, Taiwan
- Department of Internal Medicine, College of Medicine, National Taiwan University, Taipei, Taiwan
| | - Shwu-Yuan Wei
- Department of Radiology, College of Medicine, National Taiwan University, Taipei, Taiwan
| | - Ann-Lii Cheng
- Department of Oncology, National Taiwan University Hospital, Taipei, Taiwan
- Department of Internal Medicine, College of Medicine, National Taiwan University, Taipei, Taiwan
| | - Tiffany Ting-Fang Shih
- Department of Radiology, College of Medicine, National Taiwan University, Taipei, Taiwan.
- Department of Medical Imaging, National Taiwan University Hospital, No. 7, Chung-Shan South Rd, Taipei, 10016, Taiwan.
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Thust SC, van den Bent MJ, Smits M. Pseudoprogression of brain tumors. J Magn Reson Imaging 2018; 48:571-589. [PMID: 29734497 PMCID: PMC6175399 DOI: 10.1002/jmri.26171] [Citation(s) in RCA: 178] [Impact Index Per Article: 29.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2018] [Accepted: 04/07/2018] [Indexed: 12/11/2022] Open
Abstract
This review describes the definition, incidence, clinical implications, and magnetic resonance imaging (MRI) findings of pseudoprogression of brain tumors, in particular, but not limited to, high-grade glioma. Pseudoprogression is an important clinical problem after brain tumor treatment, interfering not only with day-to-day patient care but also the execution and interpretation of clinical trials. Radiologically, pseudoprogression is defined as a new or enlarging area(s) of contrast agent enhancement, in the absence of true tumor growth, which subsides or stabilizes without a change in therapy. The clinical definitions of pseudoprogression have been quite variable, which may explain some of the differences in reported incidences, which range from 9-30%. Conventional structural MRI is insufficient for distinguishing pseudoprogression from true progressive disease, and advanced imaging is needed to obtain higher levels of diagnostic certainty. Perfusion MRI is the most widely used imaging technique to diagnose pseudoprogression and has high reported diagnostic accuracy. Diagnostic performance of MR spectroscopy (MRS) appears to be somewhat higher, but MRS is less suitable for the routine and universal application in brain tumor follow-up. The combination of MRS and diffusion-weighted imaging and/or perfusion MRI seems to be particularly powerful, with diagnostic accuracy reaching up to or even greater than 90%. While diagnostic performance can be high with appropriate implementation and interpretation, even a combination of techniques, however, does not provide 100% accuracy. It should also be noted that most studies to date are small, heterogeneous, and retrospective in nature. Future improvements in diagnostic accuracy can be expected with harmonization of acquisition and postprocessing, quantitative MRI and computer-aided diagnostic technology, and meticulous evaluation with clinical and pathological data. LEVEL OF EVIDENCE 3 Technical Efficacy: Stage 2 J. Magn. Reson. Imaging 2018.
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Affiliation(s)
- Stefanie C. Thust
- Lysholm Neuroradiology DepartmentNational Hospital for Neurology and NeurosurgeryLondonUK
- Department of Brain Rehabilitation and RepairUCL Institute of NeurologyLondonUK
- Imaging DepartmentUniversity College London HospitalLondonUK
| | - Martin J. van den Bent
- Department of NeurologyThe Brain Tumor Centre at Erasmus MC Cancer InstituteRotterdamThe Netherlands
| | - Marion Smits
- Department of Radiology and Nuclear Medicine, Erasmus MCUniversity Medical Centre RotterdamRotterdamThe Netherlands
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Pope WB, Brandal G. Conventional and advanced magnetic resonance imaging in patients with high-grade glioma. THE QUARTERLY JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING : OFFICIAL PUBLICATION OF THE ITALIAN ASSOCIATION OF NUCLEAR MEDICINE (AIMN) [AND] THE INTERNATIONAL ASSOCIATION OF RADIOPHARMACOLOGY (IAR), [AND] SECTION OF THE SOCIETY OF RADIOPHARMACEUTICAL CHEMISTRY AND BIOLOGY 2018; 62:239-253. [PMID: 29696946 DOI: 10.23736/s1824-4785.18.03086-8] [Citation(s) in RCA: 53] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/10/2023]
Abstract
Magnetic resonance imaging is integral to the care of patients with high-grade gliomas. Anatomic detail can be acquired with conventional structural imaging, but newer approaches also add capabilities to interrogate image-derived physiologic and molecular characteristics of central nervous system neoplasms. These advanced imaging techniques are increasingly employed to generate biomarkers that better reflect tumor burden and therapy response. The following is an overview of current strategies based on advanced magnetic resonance imaging that are used in the assessment of high-grade glioma patients with an emphasis on how novel imaging biomarkers can potentially advance patient care.
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Affiliation(s)
- Whitney B Pope
- Department of Radiological Sciences, David Geffen School of Medicine, University of California - Los Angeles, Los Angeles, CA, USA -
| | - Garth Brandal
- Department of Radiological Sciences, David Geffen School of Medicine, University of California - Los Angeles, Los Angeles, CA, USA
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43
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McGarry SD, Hurrell SL, Iczkowski KA, Hall W, Kaczmarowski AL, Banerjee A, Keuter T, Jacobsohn K, Bukowy JD, Nevalainen MT, Hohenwalter MD, See WA, LaViolette PS. Radio-pathomic Maps of Epithelium and Lumen Density Predict the Location of High-Grade Prostate Cancer. Int J Radiat Oncol Biol Phys 2018; 101:1179-1187. [PMID: 29908785 PMCID: PMC6190585 DOI: 10.1016/j.ijrobp.2018.04.044] [Citation(s) in RCA: 40] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2018] [Revised: 04/10/2018] [Accepted: 04/16/2018] [Indexed: 12/22/2022]
Abstract
PURPOSE This study aims to combine multiparametric magnetic resonance imaging (MRI) and digitized pathology with machine learning to generate predictive maps of histologic features for prostate cancer localization. METHODS AND MATERIALS Thirty-nine patients underwent MRI prior to prostatectomy. After surgery, tissue was sliced according to MRI orientation using patient-specific 3-dimensionally printed slicing jigs. Whole-mount sections were annotated by our pathologist and digitally contoured to differentiate the lumen and epithelium. Slides were co-registered to the T2-weighted MRI scan. A learning curve was generated to determine the number of patients required for a stable machine-learning model. Patients were randomly stratified into 2 training sets and 1 test set. Two partial least-squares regression models were trained, each capable of predicting lumen and epithelium density. Predicted density values were calculated for each patient in the test dataset, mapped into the MRI space, and compared between regions confirmed as high-grade prostate cancer. RESULTS The learning-curve analysis showed that a stable fit was achieved with data from 10 patients. Maps indicated that regions of increased epithelium and decreased lumen density, generated from each independent model, corresponded with pathologist-annotated regions of high-grade cancer. CONCLUSIONS We present a radio-pathomic approach to mapping prostate cancer. We find that the maps are useful for highlighting high-grade tumors. This technique may be relevant for dose-painting strategies in prostate radiation therapy.
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Affiliation(s)
- Sean D McGarry
- Department of Radiology, Medical College of Wisconsin, Milwaukee, Wisconsin
| | - Sarah L Hurrell
- Department of Radiology, Medical College of Wisconsin, Milwaukee, Wisconsin
| | | | - William Hall
- Department of Radiation Oncology, Medical College of Wisconsin, Milwaukee, Wisconsin
| | - Amy L Kaczmarowski
- Department of Radiology, Medical College of Wisconsin, Milwaukee, Wisconsin
| | - Anjishnu Banerjee
- Department of Biostatistics, Medical College of Wisconsin, Milwaukee, Wisconsin
| | - Tucker Keuter
- Department of Biostatistics, Medical College of Wisconsin, Milwaukee, Wisconsin
| | - Kenneth Jacobsohn
- Department of Urological Surgery, Medical College of Wisconsin, Milwaukee, Wisconsin
| | - John D Bukowy
- Department of Radiology, Medical College of Wisconsin, Milwaukee, Wisconsin
| | - Marja T Nevalainen
- Department of Pathology, Medical College of Wisconsin, Milwaukee, Wisconsin; Department of Pharmacology, Medical College of Wisconsin, Milwaukee, Wisconsin
| | - Mark D Hohenwalter
- Department of Radiology, Medical College of Wisconsin, Milwaukee, Wisconsin
| | - William A See
- Department of Biostatistics, Medical College of Wisconsin, Milwaukee, Wisconsin; Department of Urological Surgery, Medical College of Wisconsin, Milwaukee, Wisconsin
| | - Peter S LaViolette
- Department of Radiology, Medical College of Wisconsin, Milwaukee, Wisconsin; Biomedical Engineering, Medical College of Wisconsin and Marquette University, Milwaukee, Wisconsin.
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44
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Goyal P, Tenenbaum M, Gupta S, Kochar PS, Bhatt AA, Mangla M, Kumar Y, Mangla R. Survival prediction based on qualitative MRI diffusion signature in patients with recurrent high grade glioma treated with bevacizumab. Quant Imaging Med Surg 2018; 8:268-279. [PMID: 29774180 DOI: 10.21037/qims.2018.04.05] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
Background Bevacizumab was approved by the FDA for the treatment of recurrent or progressive glioblastoma (GBM). Imaging responses are typically assessed by gadolinium-enhanced MRI. We sought to determine the significance of qualitative diffusion signature (manifest as variable degree of dark signal) on ADC maps in recurrent gliomas after treatment with bevacizumab. Methods We performed an institutional review board (IRB) approved retrospective study on patients who underwent MRI of the brain after 8 weeks of receiving bevacizumab for recurrent glioma. Patients were divided into three groups based on qualitative diffusion signature: (I) lesion not bright on diffusion weighted imaging (DWI) suggestive of no restricted diffusion (FDR0); (II) lesion bright on DWI with corresponding homogenous dark signal on apparent diffusion coefficient (ADC) maps suggestive of focal restricted diffusion likely due to bevacizumab induced necrosis (FDRn); and (III) lesion bright on DWI with corresponding homogenous faint dark signal on ADC maps suggestive of focal restricted diffusion likely due to viable tumor or heterogeneous spectrum of dark and faint dark signals on ADC maps suggestive of focal restricted diffusion likely due to viable tumor surrounding the bevacizumab induced necrosis (FDRt). Results Based on the qualitative signal on diffusion weighted sequences after bevacizumab therapy, total number of patients in group (I) were 14 (36%), in group (II) were 17 (44%); and in group (III) were 8 (20%). The median overall survival (OS) from the time of recurrence in patients belonging to group (II) was 364 days vs. 183 days for those with group (I) vs. 298 days for group (III). On simultaneous comparison of survival differences in all three groups by Kaplan-Meier analysis, group (II) was significant in predicting survival with P values for the log-rank tests <0.033. Conclusions In patients with recurrent glioma treated with bevacizumab, the presence of homogenous dark signal (FDRn) on ADC maps at 8 weeks follow-up MRI correlated with a longer survival. Thus, use of this qualitative diffusion signature in adjunct to contrast enhanced MRI may have the widest potential impact on routine clinical care for patients with recurrent high-grade gliomas. However, prospective studies analysing its predictive value are warranted.
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Affiliation(s)
- Pradeep Goyal
- Department of Radiology, St. Vincent's Medical Center, Bridgeport, CT, USA
| | - Mary Tenenbaum
- Department of Radiology, UMMS-Baystate Regional Campus, Springfield, MA, USA.,Department of Radiology, University of Rochester Medical Center, Rochester, NY, USA
| | - Sonali Gupta
- Department of Medicine, St. Vincent's Medical Center, Bridgeport, CT, USA
| | - Puneet S Kochar
- Department of Radiology, Yale New Haven Health Bridgeport Hospital, Bridgeport, CT, USA
| | - Alok A Bhatt
- Department of Radiology, University of Rochester Medical Center, Rochester, NY, USA
| | - Manisha Mangla
- Department of Public Health, SUNY Upstate Medical University, Syracuse, NY, USA
| | - Yogesh Kumar
- Department of Radiology, Columbia University at Bassett Healthcare, Cooperstown, NY, USA
| | - Rajiv Mangla
- Department of Radiology, University of Rochester Medical Center, Rochester, NY, USA.,Department of Radiology, SUNY Upstate Medical University, Syracuse, NY, USA
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45
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Nandu H, Wen PY, Huang RY. Imaging in neuro-oncology. Ther Adv Neurol Disord 2018; 11:1756286418759865. [PMID: 29511385 PMCID: PMC5833173 DOI: 10.1177/1756286418759865] [Citation(s) in RCA: 29] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2017] [Accepted: 01/18/2018] [Indexed: 12/11/2022] Open
Abstract
Imaging plays several key roles in managing brain tumors, including diagnosis, prognosis, and treatment response assessment. Ongoing challenges remain as new therapies emerge and there are urgent needs to find accurate and clinically feasible methods to noninvasively evaluate brain tumors before and after treatment. This review aims to provide an overview of several advanced imaging modalities including magnetic resonance imaging and positron emission tomography (PET), including advances in new PET agents, and summarize several key areas of their applications, including improving the accuracy of diagnosis and addressing the challenging clinical problems such as evaluation of pseudoprogression and anti-angiogenic therapy, and rising challenges of imaging with immunotherapy.
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Affiliation(s)
- Hari Nandu
- Department of Radiology, Brigham and Women's Hospital, Boston, MA, USA
| | | | - Raymond Y Huang
- Department of Radiology, Brigham and Women's Hospital, 75 Francis Street, Boston, MA 02445, USA
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46
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Skolnik AD, Wang S, Gopal PP, Mohan S. Commentary: Pitfalls in the Neuroimaging of Glioblastoma in the Era of Antiangiogenic and Immuno/Targeted Therapy. Front Neurol 2018; 9:51. [PMID: 29459848 PMCID: PMC5807681 DOI: 10.3389/fneur.2018.00051] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2017] [Accepted: 01/18/2018] [Indexed: 12/22/2022] Open
Affiliation(s)
- Aaron D Skolnik
- Radiology, Penn Medicine Princeton Health, Plainsboro, NJ, United States
| | - Sumei Wang
- Neuroradiology, Hospital of the University of Pennsylvania, Philadelphia, PA, United States
| | - Pallavi P Gopal
- Pathology, Yale School of Medicine, New Haven, CT, United States
| | - Suyash Mohan
- Neuroradiology, Hospital of the University of Pennsylvania, Philadelphia, PA, United States
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47
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Mullen KM, Huang RY. An Update on the Approach to the Imaging of Brain Tumors. Curr Neurol Neurosci Rep 2017; 17:53. [PMID: 28516376 DOI: 10.1007/s11910-017-0760-z] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
PURPOSE OF REVIEW Neuroimaging plays a critical role in diagnosis of brain tumors and in assessment of response to therapy. However, challenges remain, including accurately and reproducibly assessing response to therapy, defining endpoints for neuro-oncology trials, providing prognostic information, and differentiating progressive disease from post-therapeutic changes particularly in the setting of antiangiogenic and other novel therapies. RECENT FINDINGS Recent advances in the imaging of brain tumors include application of advanced MRI imaging techniques to assess tumor response to therapy and analysis of imaging features correlating to molecular markers, grade, and prognosis. This review aims to summarize recent advances in imaging as applied to current diagnostic and therapeutic neuro-oncologic challenges.
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Affiliation(s)
- Katherine M Mullen
- Department of Radiology, Brigham and Women's Hospital, 75 Francis St, Boston, MA, 02115, USA
| | - Raymond Y Huang
- Department of Radiology, Brigham and Women's Hospital, 75 Francis St, Boston, MA, 02115, USA.
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48
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Razek AAKA, El-Serougy L, Abdelsalam M, Gaballa G, Talaat M. Differentiation of residual/recurrent gliomas from postradiation necrosis with arterial spin labeling and diffusion tensor magnetic resonance imaging-derived metrics. Neuroradiology 2017; 60:169-177. [PMID: 29218370 DOI: 10.1007/s00234-017-1955-3] [Citation(s) in RCA: 88] [Impact Index Per Article: 12.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2017] [Accepted: 11/27/2017] [Indexed: 12/25/2022]
Abstract
PURPOSE The aim of this study is to differentiate recurrent/residual gliomas from postradiation changes using arterial spin labeling (ASL) perfusion and diffusion tensor imaging (DTI)-derived metrics. METHODS Prospective study was conducted upon 42 patients with high-grade gliomas after radiotherapy only or prior to other therapies that underwent routine MR imaging, ASL, and DTI. The tumor blood flow (TBF), fractional anisotropy (FA), and mean diffusivity (MD) of the enhanced lesion and related edema were calculated. The lesion was categorized as recurrence/residual or postradiation changes. RESULTS There was significant differences between residual/recurrent gliomas and postradiation changes of TBF (P = 0.001), FA (P = 0.001 and 0.04), and MD (P = 0.001) of enhanced lesion and related edema respectively. The area under the curve (AUC) of TBF of enhanced lesion and related edema used to differentiate residual/recurrent gliomas from postradiation changes were 0.95 and 0.93 and of MD were 0.95 and 0.81 and of FA were 0.81 and 0.695, respectively. Combined ASL and DTI metrics of the enhanced lesion revealed AUC of 0.98, accuracy of 95%, sensitivity of 93.8%, specificity of 95.8%, positive predictive value (PPV) of 93.8%, and negative predictive value (NPV) of 95.8%. Combined metrics of ASL and DTI of related edema revealed AUC of 0.97, accuracy of 92.5%, sensitivity of 93.8%, specificity of 91.7%, PPV of 88.2%, and NPV of 95.7. CONCLUSION Combined ASL and DTI metrics of enhanced lesion and related edema are valuable noninvasive tools in differentiating residual/recurrent gliomas from postradiation changes.
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Affiliation(s)
| | - Lamiaa El-Serougy
- Department of Diagnostic Radiology, Mansoura Faculty of Medicine, Mansoura, 13551, Egypt
| | | | - Gada Gaballa
- Department of Diagnostic Radiology, Mansoura Faculty of Medicine, Mansoura, 13551, Egypt
| | - Mona Talaat
- Department of Diagnostic Radiology, Mansoura Faculty of Medicine, Mansoura, 13551, Egypt
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49
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Zakhari N, Taccone MS, Torres C, Chakraborty S, Sinclair J, Woulfe J, Jansen GH, Nguyen TB. Diagnostic Accuracy of Centrally Restricted Diffusion in the Differentiation of Treatment-Related Necrosis from Tumor Recurrence in High-Grade Gliomas. AJNR Am J Neuroradiol 2017; 39:260-264. [PMID: 29217742 DOI: 10.3174/ajnr.a5485] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2017] [Accepted: 10/17/2017] [Indexed: 01/30/2023]
Abstract
BACKGROUND AND PURPOSE Centrally restricted diffusion has been demonstrated in recurrent high-grade gliomas treated with bevacizumab. Our purpose was to assess the accuracy of centrally restricted diffusion in the diagnosis of radiation necrosis in high-grade gliomas not treated with bevacizumab. MATERIALS AND METHODS In this prospective study, we enrolled patients with high-grade gliomas who developed a new ring-enhancing necrotic lesion and who underwent re-resection. The presence of a centrally restricted diffusion within the ring-enhancing lesion was assessed visually on diffusion trace images and by ADC measurements on 3T preoperative diffusion tensor examination. The percentage of tumor recurrence and radiation necrosis in each surgical specimen was defined histopathologically. The association between centrally restricted diffusion and radiation necrosis was assessed using the Fisher exact test. Differences in ADC and the ADC ratio between the groups were assessed via the Mann-Whitney U test, and receiver operating characteristic curve analysis was performed. RESULTS Seventeen patients had re-resected ring-enhancing lesions: 8 cases of radiation necrosis and 9 cases of tumor recurrence. There was significant association between centrally restricted diffusion by visual assessment and radiation necrosis (P = .015) with a sensitivity of 75% and a specificity of 88.9%, a positive predictive value 85.7%, and a negative predictive value of 80% for the diagnosis of radiation necrosis. There was a statistically significant difference in the ADC and ADC ratio between radiation necrosis and tumor recurrence (P = .027). CONCLUSIONS The presence of centrally restricted diffusion in a new ring-enhancing lesion might indicate radiation necrosis rather than tumor recurrence in high-grade gliomas previously treated with standard chemoradiation without bevacizumab.
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Affiliation(s)
- N Zakhari
- From the Department of Radiology (N.Z., C.T., S.C., T.B.N.), Division of Neuroradiology, University of Ottawa, The Ottawa Hospital Civic and General Campus, Ottawa, Ontario, Canada
| | | | - C Torres
- From the Department of Radiology (N.Z., C.T., S.C., T.B.N.), Division of Neuroradiology, University of Ottawa, The Ottawa Hospital Civic and General Campus, Ottawa, Ontario, Canada
| | - S Chakraborty
- From the Department of Radiology (N.Z., C.T., S.C., T.B.N.), Division of Neuroradiology, University of Ottawa, The Ottawa Hospital Civic and General Campus, Ottawa, Ontario, Canada
| | | | - J Woulfe
- Department of Pathology and Laboratory Medicine (J.W., G.H.J.), University of Ottawa, The Ottawa Hospital Civic Campus, Ottawa, Ontario, Canada
| | - G H Jansen
- Department of Pathology and Laboratory Medicine (J.W., G.H.J.), University of Ottawa, The Ottawa Hospital Civic Campus, Ottawa, Ontario, Canada
| | - T B Nguyen
- From the Department of Radiology (N.Z., C.T., S.C., T.B.N.), Division of Neuroradiology, University of Ottawa, The Ottawa Hospital Civic and General Campus, Ottawa, Ontario, Canada
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50
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Hurrell SL, McGarry SD, Kaczmarowski A, Iczkowski KA, Jacobsohn K, Hohenwalter MD, Hall WA, See WA, Banerjee A, Charles DK, Nevalainen MT, Mackinnon AC, LaViolette PS. Optimized b-value selection for the discrimination of prostate cancer grades, including the cribriform pattern, using diffusion weighted imaging. J Med Imaging (Bellingham) 2017; 5:011004. [PMID: 29098169 PMCID: PMC5658575 DOI: 10.1117/1.jmi.5.1.011004] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2017] [Accepted: 09/21/2017] [Indexed: 01/21/2023] Open
Abstract
Multiparametric magnetic resonance imaging (MP-MRI), including diffusion-weighted imaging, is commonly used to diagnose prostate cancer. This radiology–pathology study correlates prostate cancer grade and morphology with common b-value combinations for calculating apparent diffusion coefficient (ADC). Thirty-nine patients undergoing radical prostatectomy were recruited for MP-MRI prior to surgery. Diffusion imaging was collected with seven b-values, and ADC was calculated. Excised prostates were sliced in the same orientation as the MRI using 3-D printed slicing jigs. Whole-mount slides were digitized and annotated by a pathologist. Annotated samples were aligned to the MRI, and ADC values were extracted from annotated peripheral zone (PZ) regions. A receiver operating characteristic (ROC) analysis was performed to determine accuracy of tissue type discrimination and optimal ADC b-value combination. ADC significantly discriminates Gleason (G) G4-5 cancer from G3 and other prostate tissue types. The optimal b-values for discriminating high from low-grade and noncancerous tissue in the PZ are 50 and 2000, followed closely by 100 to 2000 and 0 to 2000. Optimal ADC cut-offs are presented for dichotomized discrimination of tissue types according to each b-value combination. Selection of b-values affects the sensitivity and specificity of ADC for discrimination of prostate cancer.
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Affiliation(s)
- Sarah L Hurrell
- Medical College of Wisconsin, Department of Radiology, Milwaukee, Wisconsin, United States
| | - Sean D McGarry
- Medical College of Wisconsin, Department of Biophysics, Milwaukee, Wisconsin, United States
| | - Amy Kaczmarowski
- Medical College of Wisconsin, Department of Radiology, Milwaukee, Wisconsin, United States
| | - Kenneth A Iczkowski
- Medical College of Wisconsin, Department of Pathology, Milwaukee, Wisconsin, United States.,Medical College of Wisconsin, Department of Urology, Milwaukee, Wisconsin, United States
| | - Kenneth Jacobsohn
- Medical College of Wisconsin, Department of Urology, Milwaukee, Wisconsin, United States
| | - Mark D Hohenwalter
- Medical College of Wisconsin, Department of Radiology, Milwaukee, Wisconsin, United States
| | - William A Hall
- Medical College of Wisconsin, Department of Radiation Oncology, Milwaukee, Wisconsin, United States
| | - William A See
- Medical College of Wisconsin, Department of Urology, Milwaukee, Wisconsin, United States
| | - Anjishnu Banerjee
- Medical College of Wisconsin, Department of Biostatistics, Milwaukee, Wisconsin, United States
| | - David K Charles
- Medical College of Wisconsin, Department of Urology, Milwaukee, Wisconsin, United States
| | - Marja T Nevalainen
- Medical College of Wisconsin, Department of Pathology, Milwaukee, Wisconsin, United States.,Medical College of Wisconsin, Department of Pharmacology and Toxicology, Milwaukee, Wisconsin, United States
| | - Alexander C Mackinnon
- Medical College of Wisconsin, Department of Pathology, Milwaukee, Wisconsin, United States
| | - Peter S LaViolette
- Medical College of Wisconsin, Department of Radiology, Milwaukee, Wisconsin, United States.,Medical College of Wisconsin, Department of Biomedical Engineering, Milwaukee, Wisconsin, United States
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