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Meng N, Wang X, Sun J, Han D, Bai Y, Wei W, Wang Z, Jia F, Wang K, Wang M. A comparative study of the value of amide proton transfer-weighted imaging and diffusion kurtosis imaging in the diagnosis and evaluation of breast cancer. Eur Radiol 2020; 31:1707-1717. [PMID: 32888071 DOI: 10.1007/s00330-020-07169-x] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2020] [Revised: 06/18/2020] [Accepted: 08/07/2020] [Indexed: 12/20/2022]
Abstract
OBJECTIVES To compare the value of amide proton transfer-weighted imaging (APTWI) and diffusion kurtosis imaging (DKI) in differentiating benign and malignant breast lesions and analyze the correlations between the derived parameters and prognostic factors of breast cancer. METHODS One hundred thirty-five women underwent breast APTWI and DKI. The magnetization transfer ratio asymmetry (MTRasym (3.5 ppm)), apparent kurtosis coefficient (Kapp), and non-Gaussian diffusion coefficient (Dapp) were calculated according to the histological subtype, grade, and prognostic factors (Ki-67, estrogen receptor (ER), progesterone receptor (PR), human epidermal growth factor receptor-2 (HER-2), lymph node metastasis, and maximum lesion diameter). The differences, efficacy, and correlation between the parameters were determined. RESULTS The Kapp value was higher and the Dapp and MTRasym (3.5 ppm) values were lower in the malignant group than in the benign group (all p < 0.001; AUC (Kapp) = 0.913, AUC (Dapp) = 0.910, and AUC (MTRasym (3.5 ppm)) = 0.796). The differences in the AUC between Kapp and MTRasym (3.5 ppm) and between Dapp and MTRasym (3.5 ppm) were significant (p = 0.023, 0.046). Kapp was moderately correlated with the pathological grade (|r| = 0.724) and mildly correlated with Ki-67 and HER-2 expression (|r| = 0.454, 0.333). Dapp was moderately correlated with the pathological grade (|r| = 0.648) and mildly correlated with Ki-67 expression (|r| = 0.400). MTRasym (3.5 ppm) was only mildly correlated with the pathological grade (|r| = 0.468). CONCLUSION DKI is superior to APTWI in differentiating between benign and malignant breast lesions. Each parameter is correlated with some prognostic factors to a certain extent. KEY POINTS • DKI and APTWI provide valuable information regarding lesion characterization. • Kapp, Dapp, and MTRasym (3.5 ppm) are valid parameters for the characterization of tissue microstructure. • DKI is superior to APTWI in the study of breast cancer.
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Affiliation(s)
- Nan Meng
- Department of Radiology, Zhengzhou University People's Hospital & Henan Provincial People's Hospital, Zhengzhou, Henan, China.,Academy of Medical Sciences, Zhengzhou University, Zhengzhou, Henan, China
| | - Xuejia Wang
- Department of MR, the First Affiliated Hospital, Xinxiang Medical University, Weihui, China
| | - Jing Sun
- Department of Pediatrics, Zhengzhou Central Hospital, Zhengzhou University, Zhengzhou, China
| | - Dongming Han
- Department of MR, the First Affiliated Hospital, Xinxiang Medical University, Weihui, China
| | - Yan Bai
- Department of Radiology, Zhengzhou University People's Hospital & Henan Provincial People's Hospital, Zhengzhou, Henan, China.,Academy of Medical Sciences, Zhengzhou University, Zhengzhou, Henan, China
| | - Wei Wei
- Department of Radiology, Zhengzhou University People's Hospital & Henan Provincial People's Hospital, Zhengzhou, Henan, China.,Academy of Medical Sciences, Zhengzhou University, Zhengzhou, Henan, China
| | - Zhe Wang
- Department of Anesthesiology, the Third Affiliated Hospital, Xinxiang Medical University, Xinxiang, China
| | - Fei Jia
- Department of MR, the First Affiliated Hospital, Xinxiang Medical University, Weihui, China
| | - Kaiyu Wang
- MR Research China, GE Healthcare, Beijing, China
| | - Meiyun Wang
- Department of Radiology, Zhengzhou University People's Hospital & Henan Provincial People's Hospital, Zhengzhou, Henan, China. .,Academy of Medical Sciences, Zhengzhou University, Zhengzhou, Henan, China.
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Use of Ultrasmall Superparamagnetic Iron Oxide Enhanced Susceptibility Weighted Imaging and Mean Vessel Density Imaging to Monitor Antiangiogenic Effects of Sorafenib on Experimental Hepatocellular Carcinoma. CONTRAST MEDIA & MOLECULAR IMAGING 2017; 2017:9265098. [PMID: 29097941 PMCID: PMC5612611 DOI: 10.1155/2017/9265098] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/09/2016] [Accepted: 05/25/2017] [Indexed: 12/11/2022]
Abstract
We investigated effectiveness of ultrasmall superparamagnetic iron oxide enhanced susceptibility weighted imaging (USPIO-enhanced SWI) and mean vessel density imaging (Q) in monitoring antiangiogenic effects of Sorafenib on orthotopic hepatocellular carcinoma (HCC). Thirty-five HCC xenografts were established. USPIO-enhanced SWI and Q were performed on a 1.5 T MR scanner at baseline, 7, 14, and 21 days after Sorafenib treatment. Intratumoral susceptibility signal intensity (ITSS) and Q were serially measured and compared between the treated (n = 15) and control groups (n = 15). Both ITSS and Q were significantly lower in the treated group at each time point (P < 0.05). Measurements in the treated group showed that ITSS persisted at 7 days (P = 0.669) and increased at 14 and 21 days (P < 0.05), while Q significantly declined at 7 days (P = 0.028) and gradually increased at 14 and 21 days. In the treated group, significant correlation was found between Q and histologic microvessel density (MVD) (r = 0.753, P < 0.001), and ITSS correlated well with MVD (r = 0.742, P = 0.002) after excluding the data from baseline. This study demonstrated that USPIO-enhanced SWI and Q could provide novel biomarkers for evaluating antiangiogenic effects of Sorafenib on HCC.
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Yu XP, Hou J, Li FP, Wang H, Hu PS, Bi F, Wang W. Intravoxel Incoherent Motion Diffusion Weighted Magnetic Resonance Imaging for Differentiation Between Nasopharyngeal Carcinoma and Lymphoma at the Primary Site. J Comput Assist Tomogr 2016; 40:413-8. [PMID: 26953769 PMCID: PMC4872642 DOI: 10.1097/rct.0000000000000391] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2015] [Accepted: 12/16/2015] [Indexed: 12/20/2022]
Abstract
OBJECTIVE The aim of the study was to investigate the utility of intravoxel incoherent motion (IVIM) diffusion-weighted magnetic resonance imaging (DWI) for differentiating nasopharyngeal carcinoma (NPC) from lymphoma. METHODS Intravoxel incoherent motion-based parameters including the apparent diffusion coefficient (ADC), pure diffusion coefficient (D), pseudodiffusion coefficient (D*), perfusion fraction (f), and fD* (the product of D* and f) were retrospectively compared between 102 patients (82 with NPC, 20 with lymphoma) who received pretreatment IVIM DWI. RESULTS Compared with lymphoma, NPC exhibited higher ADC, D, D*, fD* values (P < 0.001) and f value (P = 0.047). The optimal cutoff values (area under the curve, sensitivity, and specificity, respectively) for distinguishing the 2 tumors were as follows: ADC value of 0.761 × 10 mm/s (0.781, 93.90%, 55.00%); D, 0.66 × 10 mm/s (0.802, 54.88%, 100.00%); D*, 7.89 × 10 mm/s (0.898, 82.93%, 85.00%); f, 0.29 (0.644, 41.46%, 95.00%); and fD*, 1.99 × 10 mm/s (0.960, 85.37%, 100.00%). CONCLUSIONS Nasopharyngeal carcinoma exhibits different IVIM-based imaging features from lymphoma. Intravoxel incoherent motion DWI is useful for differentiating lymphoma from NPC.
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Affiliation(s)
- Xiao-Ping Yu
- From the *Department of Diagnostic Radiology, Hunan Cancer Hospital, the Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University; †Department of Radiology, the Third Xiangya Hospital, Central South University; and ‡Hunan Provincial Key Laboratory of Translational Radiation Oncology, Hunan Cancer Hospital, Changsha, Hunan, PR China
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Frieboes HB, Smith BR, Wang Z, Kotsuma M, Ito K, Day A, Cahill B, Flinders C, Mumenthaler SM, Mallick P, Simbawa E, AL-Fhaid AS, Mahmoud SR, Gambhir SS, Cristini V. Predictive Modeling of Drug Response in Non-Hodgkin's Lymphoma. PLoS One 2015; 10:e0129433. [PMID: 26061425 PMCID: PMC4464754 DOI: 10.1371/journal.pone.0129433] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2015] [Accepted: 05/09/2015] [Indexed: 12/20/2022] Open
Abstract
We combine mathematical modeling with experiments in living mice to quantify the relative roles of intrinsic cellular vs. tissue-scale physiological contributors to chemotherapy drug resistance, which are difficult to understand solely through experimentation. Experiments in cell culture and in mice with drug-sensitive (Eµ-myc/Arf-/-) and drug-resistant (Eµ-myc/p53-/-) lymphoma cell lines were conducted to calibrate and validate a mechanistic mathematical model. Inputs to inform the model include tumor drug transport characteristics, such as blood volume fraction, average geometric mean blood vessel radius, drug diffusion penetration distance, and drug response in cell culture. Model results show that the drug response in mice, represented by the fraction of dead tumor volume, can be reliably predicted from these inputs. Hence, a proof-of-principle for predictive quantification of lymphoma drug therapy was established based on both cellular and tissue-scale physiological contributions. We further demonstrate that, if the in vitro cytotoxic response of a specific cancer cell line under chemotherapy is known, the model is then able to predict the treatment efficacy in vivo. Lastly, tissue blood volume fraction was determined to be the most sensitive model parameter and a primary contributor to drug resistance.
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Affiliation(s)
- Hermann B. Frieboes
- Department of Bioengineering, University of Louisville, Louisville, KY, 40202, United States of America
- James Graham Brown Cancer Center, University of Louisville, Louisville, KY, 40202, United States of America
- Department of Pathology, University of New Mexico, Albuquerque, NM, 87131, United States of America
- * E-mail: (HBF); (SGG); (VC)
| | - Bryan R. Smith
- Molecular Imaging Program at Stanford (MIPS), Department of Radiology, Stanford University, Stanford, CA, 94305, United States of America
| | - Zhihui Wang
- Department of Pathology, University of New Mexico, Albuquerque, NM, 87131, United States of America
| | - Masakatsu Kotsuma
- Molecular Imaging Program at Stanford (MIPS), Department of Radiology, Stanford University, Stanford, CA, 94305, United States of America
| | - Ken Ito
- Molecular Imaging Program at Stanford (MIPS), Department of Radiology, Stanford University, Stanford, CA, 94305, United States of America
| | - Armin Day
- Department of Pathology, University of New Mexico, Albuquerque, NM, 87131, United States of America
| | - Benjamin Cahill
- Department of Bioengineering, University of Louisville, Louisville, KY, 40202, United States of America
| | - Colin Flinders
- Department of Biological Chemistry, University of California at Los Angeles, Los Angeles, CA, 90095, United States of America
- Center for Applied Molecular Medicine, University of Southern California, Los Angeles, CA, 90033, United States of America
| | - Shannon M. Mumenthaler
- Center for Applied Molecular Medicine, University of Southern California, Los Angeles, CA, 90033, United States of America
| | - Parag Mallick
- Molecular Imaging Program at Stanford (MIPS), Department of Radiology, Stanford University, Stanford, CA, 94305, United States of America
| | - Eman Simbawa
- Department of Mathematics, Faculty of Science, King Abdulaziz University, Jeddah, 21589, Saudi Arabia
| | - A. S. AL-Fhaid
- Department of Mathematics, Faculty of Science, King Abdulaziz University, Jeddah, 21589, Saudi Arabia
| | - S. R. Mahmoud
- Department of Mathematics, Faculty of Science, King Abdulaziz University, Jeddah, 21589, Saudi Arabia
| | - Sanjiv S. Gambhir
- Molecular Imaging Program at Stanford (MIPS), Department of Radiology, Stanford University, Stanford, CA, 94305, United States of America
- Department of Bioengineering, Stanford University, Stanford, CA, 94305, United States of America
- Department of Materials Science & Engineering, and Bio-X, Stanford University, Stanford, CA, 94305, United States of America
- * E-mail: (HBF); (SGG); (VC)
| | - Vittorio Cristini
- Department of Pathology, University of New Mexico, Albuquerque, NM, 87131, United States of America
- Department of Mathematics, Faculty of Science, King Abdulaziz University, Jeddah, 21589, Saudi Arabia
- Department of Chemical Engineering and Center for Biomedical Engineering, University of New Mexico, Albuquerque, NM, 87131, United States of America
- * E-mail: (HBF); (SGG); (VC)
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Troprès I, Pannetier N, Grand S, Lemasson B, Moisan A, Péoc'h M, Rémy C, Barbier EL. Imaging the microvessel caliber and density: Principles and applications of microvascular MRI. Magn Reson Med 2014; 73:325-41. [DOI: 10.1002/mrm.25396] [Citation(s) in RCA: 43] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2014] [Revised: 07/08/2014] [Accepted: 07/11/2014] [Indexed: 12/22/2022]
Affiliation(s)
- Irène Troprès
- IRMaGe; Université Grenoble Alpes; Grenoble France
- UMS 3552; CNRS; Grenoble France
- US 017; INSERM; Grenoble France
- IRMaGe, Hôpital Michallon; Centre Hospitalier Universitaire de Grenoble; Grenoble France
- Université Joseph Fourier; Grenoble Institut des Neurosciences; Grenoble France. INSERM; U836 Grenoble France
| | - Nicolas Pannetier
- Université Joseph Fourier; Grenoble Institut des Neurosciences; Grenoble France
- INSERM; U836 Grenoble France
| | - Sylvie Grand
- Université Joseph Fourier; Grenoble Institut des Neurosciences; Grenoble France
- INSERM; U836 Grenoble France
- CLUNI, Hôpital Michallon; Centre Hospitalier Universitaire de Grenoble; Grenoble France
| | - Benjamin Lemasson
- Université Joseph Fourier; Grenoble Institut des Neurosciences; Grenoble France
- INSERM; U836 Grenoble France
| | - Anaïck Moisan
- Université Joseph Fourier; Grenoble Institut des Neurosciences; Grenoble France
- INSERM; U836 Grenoble France
| | - Michel Péoc'h
- Service d'anatomo-pathologie; Centre Hospitalier Universitaire de Saint Etienne; Saint-Etienne France
- EA 2521; Université Jean Monnet; Saint-Etienne France
| | - Chantal Rémy
- Université Joseph Fourier; Grenoble Institut des Neurosciences; Grenoble France
- INSERM; U836 Grenoble France
| | - Emmanuel L. Barbier
- Université Joseph Fourier; Grenoble Institut des Neurosciences; Grenoble France
- INSERM; U836 Grenoble France
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Bokacheva L, Ackerstaff E, LeKaye HC, Zakian K, Koutcher JA. High-field small animal magnetic resonance oncology studies. Phys Med Biol 2013; 59:R65-R127. [PMID: 24374985 DOI: 10.1088/0031-9155/59/2/r65] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
This review focuses on the applications of high magnetic field magnetic resonance imaging (MRI) and spectroscopy (MRS) to cancer studies in small animals. High-field MRI can provide information about tumor physiology, the microenvironment, metabolism, vascularity and cellularity. Such studies are invaluable for understanding tumor growth and proliferation, response to treatment and drug development. The MR techniques reviewed here include (1)H, (31)P, chemical exchange saturation transfer imaging and hyperpolarized (13)C MRS as well as diffusion-weighted, blood oxygen level dependent contrast imaging and dynamic contrast-enhanced MRI. These methods have been proven effective in animal studies and are highly relevant to human clinical studies.
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Affiliation(s)
- Louisa Bokacheva
- Department of Medical Physics, Memorial Sloan-Kettering Cancer Center, 415 East 68 Street, New York, NY 10065, USA
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Heijmen L, Punt CJA, Ter Voert EGW, de Geus-Oei LF, Heerschap A, Bussink J, Sweep CGJ, Zerbi V, Oyen WJG, Span PN, Boerman O, van Laarhoven HWM. Monitoring the effects of bevacizumab beyond progression in a murine colorectal cancer model: a functional imaging approach. Invest New Drugs 2013; 31:881-90. [PMID: 23325291 DOI: 10.1007/s10637-012-9920-9] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2012] [Accepted: 12/21/2012] [Indexed: 12/22/2022]
Abstract
Clinical studies have shown that bevacizumab beyond progression to first line therapy is beneficial for overall survival in advanced stage colorectal cancer. We studied the utility of several functional imaging modalities to assess the efficacy of bevacizumab beyond progression (BBP). All BALB/c mice with s.c. LS174T xenografts were treated with capecitabine, oxaliplatin and bevacizumab combination therapy. Tumor volume was assessed using caliper measurements. Increase of 1.5 times the initial volume on two subsequent measurements, was considered progression. In half of the mice bevacizumab treatment was continued (n = 13) after progressive disease was established, while the others received saline injections (n = 12). Within 3 days after progression, multi-modal imaging was performed using FDG-PET, diffusion weighted imaging, T2* and dynamic contrast enhanced MRI. Measurements were repeated 7 and 10 days after the first measurements. Afterwards, tumors were analyzed for expression of carbonic anhydrase IX, glucose transporter 1, 9 F1 to stain the vasculature and Ki67 to assess proliferation. In the BBP group tumor growth after progression was reduced compared to the control group (p < 0.01). FDG-PET showed a trend towards lower FDG uptake in the BBP group (p = 0.08). DWI, T2* and DCE-MRI parameters were not significantly different between both groups. The immunohistochemical analyses showed higher CAIX-positive fraction (p < 0.01) and lower Ki67 expression (p = 0.06) in the BBP group. The relative vascular area was significantly lower in the BBP group (p = 0.03). GLUT-1 expression and vascular density did not significantly differ between both groups. Bevacizumab after progression resulted in significant changes in the tumor proliferation and microenvironment compared to discontinuation of bevacizumab. FDG-PET may be sensitive to BBP-induced effects.
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Affiliation(s)
- L Heijmen
- Department of Medical Oncology 452, Radboud University Nijmegen Medical Centre, PO Box 9101, 6500 HB Nijmegen, The Netherlands.
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Perfusion MDCT of Prostate Cancer: Correlation of Perfusion CT Parameters and Immunohistochemical Markers of Angiogenesis. AJR Am J Roentgenol 2012; 199:1042-8. [DOI: 10.2214/ajr.11.8267] [Citation(s) in RCA: 21] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2023]
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