1
|
Basukala D, Mikheev A, Sevilimedu V, Gilani N, Moy L, Pinker-Domenig K, Thakur SB, Sigmund EE. Multisite MRI Intravoxel Incoherent Motion Repeatability and Reproducibility across 3 T Scanners in a Breast Diffusion Phantom: A BReast Intravoxel Incoherent Motion Multisite (BRIMM) Study. J Magn Reson Imaging 2024; 59:2226-2237. [PMID: 37702382 PMCID: PMC10932866 DOI: 10.1002/jmri.29008] [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: 07/17/2023] [Revised: 08/28/2023] [Accepted: 08/29/2023] [Indexed: 09/14/2023] Open
Abstract
BACKGROUND Monoexponential apparent diffusion coefficient (ADC) and biexponential intravoxel incoherent motion (IVIM) analysis of diffusion-weighted imaging is helpful in the characterization of breast tumors. However, repeatability/reproducibility studies across scanners and across sites are scarce. PURPOSE To evaluate the repeatability and reproducibility of ADC and IVIM parameters (tissue diffusivity (Dt), perfusion fraction (Fp) and pseudo-diffusion (Dp)) within and across sites employing MRI scanners from different vendors utilizing 16-channel breast array coils in a breast diffusion phantom. STUDY TYPE Phantom repeatability. PHANTOM A breast phantom containing tubes of different polyvinylpyrrolidone (PVP) concentrations, water, fat, and sponge flow chambers, together with an MR-compatible liquid crystal (LC) thermometer. FIELD STRENGTH/SEQUENCE Bipolar gradient twice-refocused spin echo sequence and monopolar gradient single spin echo sequence at 3 T. ASSESSMENT Studies were performed twice in each of two scanners, located at different sites, on each of 2 days, resulting in four studies per scanner. ADCs of the PVP and water were normalized to the vendor-provided calibrated values at the temperature indicated by the LC thermometer for repeatability/reproducibility comparisons. STATISTICAL TESTS ADC and IVIM repeatability and reproducibility within and across sites were estimated via the within-system coefficient of variation (wCV). Pearson correlation coefficient (r) was also computed between IVIM metrics and flow speed. A P value <0.05 was considered statistically significant. RESULTS ADC and Dt demonstrated excellent repeatability (<2%; <3%, respectively) and reproducibility (both <5%) at the two sites. Fp and Dp exhibited good repeatability (mean of two sites 3.67% and 5.59%, respectively) and moderate reproducibility (mean of two sites 15.96% and 13.3%, respectively). The mean intersite reproducibility (%) of Fp/Dp/Dt was 50.96/13.68/5.59, respectively. Fp and Dt demonstrated high correlations with flow speed while Dp showed lower correlations. Fp correlations with flow speed were significant at both sites. DATA CONCLUSION IVIM reproducibility results were promising and similar to ADC, particularly for Dt. The results were reproducible within both sites, and a progressive trend toward reproducibility across sites except for Fp. LEVEL OF EVIDENCE 2 TECHNICAL EFFICACY: Stage 1.
Collapse
Affiliation(s)
- Dibash Basukala
- Center for Advanced Imaging and Innovation (CAIR), Center for Biomedical Imaging, Department of Radiology, NYU Langone Health, New York, New York, USA
| | - Artem Mikheev
- Center for Advanced Imaging and Innovation (CAIR), Center for Biomedical Imaging, Department of Radiology, NYU Langone Health, New York, New York, USA
| | - Varadan Sevilimedu
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, New York, USA
| | - Nima Gilani
- Center for Advanced Imaging and Innovation (CAIR), Center for Biomedical Imaging, Department of Radiology, NYU Langone Health, New York, New York, USA
| | - Linda Moy
- Center for Advanced Imaging and Innovation (CAIR), Center for Biomedical Imaging, Department of Radiology, NYU Langone Health, New York, New York, USA
| | - Katja Pinker-Domenig
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, New York, USA
| | - Sunitha B. Thakur
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, New York, USA
| | - Eric E. Sigmund
- Center for Advanced Imaging and Innovation (CAIR), Center for Biomedical Imaging, Department of Radiology, NYU Langone Health, New York, New York, USA
| |
Collapse
|
2
|
Chen S, Chu ML, Liang L, Liu YJ, Chen NK, Wang H, Juan CJ, Chang HC. Highly accelerated multi-shot intravoxel incoherent motion diffusion-weighted imaging in brain enabled by parametric POCS-based multiplexed sensitivity encoding. NMR IN BIOMEDICINE 2024; 37:e5063. [PMID: 37871617 DOI: 10.1002/nbm.5063] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/01/2022] [Revised: 09/25/2023] [Accepted: 09/27/2023] [Indexed: 10/25/2023]
Abstract
Recently, intravoxel incoherent motion (IVIM) diffusion-weighted imaging (DWI) has also been demonstrated as an imaging tool for applications in neurological and neurovascular diseases. However, the use of single-shot diffusion-weighted echo-planar imaging for IVIM DWI acquisition leads to suboptimal data quality: for instance, geometric distortion and deteriorated image quality at high spatial resolution. Although the recently commercialized multi-shot acquisition methods, such as multiplexed sensitivity encoding (MUSE), can attain high-resolution and high-quality DWI with signal-to-noise ratio (SNR) performance superior to that of the conventional parallel imaging method, the prolonged scan time associated with multi-shot acquisition is impractical for routine IVIM DWI. This study proposes an acquisition and reconstruction framework based on parametric-POCSMUSE to accelerate the four-shot IVIM DWI with 70% reduction of total scan time (13 min 8 s versus 4 min 8 s). First, the four-shot IVIM DWI scan with 17 b values was accelerated by acquiring only one segment per b value except for b values of 0 and 600 s/mm2 . Second, an IVIM-estimation scheme was integrated into the parametric-POCSMUSE to enable joint reconstruction of multi-b images from under-sampled four-shot IVIM DWI data. In vivo experiments on both healthy subjects and patients show that the proposed framework successfully produced multi-b DW images with significantly higher SNRs and lower reconstruction errors than did the conventional acceleration method based on parallel imaging. In addition, the IVIM quantitative maps estimated from the data produced by the proposed framework showed quality comparable to that of fully sampled MUSE-reconstructed images, suggesting that the proposed framework can enable highly accelerated multi-shot IVIM DWI without sacrificing data quality. In summary, the proposed framework can make multi-shot IVIM DWI feasible in a routine MRI examination, with reasonable scan time and improved geometric fidelity.
Collapse
Affiliation(s)
- Shihui Chen
- Department of Biomedical Engineering, The Chinese University of Hong Kong, Shatin, Hong Kong
- Department of Diagnostic Radiology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong
| | - Mei-Lan Chu
- Graduate Institute of Biomedical Electronics and Bioinformatics, National Taiwan University, Taipei, Taiwan
| | - Liyuan Liang
- Department of Diagnostic Radiology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong
| | - Yi-Jui Liu
- Department of Automatic Control Engineering, Feng Chia University, Taichung, Taiwan
| | - Nan-Kuei Chen
- Department of Biomedical Engineering, University of Arizona, Tucson, Arizona, USA
- Brain Imaging and Analysis Center, Duke University Medical Center, Durham, North Carolina, USA
| | - He Wang
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China
- Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence (Fudan University), Ministry of Education, Shanghai, China
- Human Phenome Institute, Fudan University, Shanghai, China
| | - Chun-Jung Juan
- Department of Medical Imaging, China Medical University Hsinchu Hospital, Hsinchu, Taiwan
- Department of Radiology, School of Medicine, College of Medicine, China Medical University, Taichung, Taiwan
- Department of Medical Imaging, China Medical University Hospital, Taichung, Taiwan
| | - Hing-Chiu Chang
- Department of Biomedical Engineering, The Chinese University of Hong Kong, Shatin, Hong Kong
- Multi-Scale Medical Robotics Center, Shatin, Hong Kong
| |
Collapse
|
3
|
Shah D, Gehani A, Mahajan A, Chakrabarty N. Advanced Techniques in Head and Neck Cancer Imaging: Guide to Precision Cancer Management. Crit Rev Oncog 2023; 28:45-62. [PMID: 37830215 DOI: 10.1615/critrevoncog.2023047799] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/14/2023]
Abstract
Precision treatment requires precision imaging. With the advent of various advanced techniques in head and neck cancer treatment, imaging has become an integral part of the multidisciplinary approach to head and neck cancer care from diagnosis to staging and also plays a vital role in response evaluation in various tumors. Conventional anatomic imaging (CT scan, MRI, ultrasound) remains basic and focuses on defining the anatomical extent of the disease and its spread. Accurate assessment of the biological behavior of tumors, including tumor cellularity, growth, and response evaluation, is evolving with recent advances in molecular, functional, and hybrid/multiplex imaging. Integration of these various advanced diagnostic imaging and nonimaging methods aids understanding of cancer pathophysiology and provides a more comprehensive evaluation in this era of precision treatment. Here we discuss the current status of various advanced imaging techniques and their applications in head and neck cancer imaging.
Collapse
Affiliation(s)
- Diva Shah
- Senior Consultant Radiologist, Department of Radiodiagnosis, HCG Cancer Centre, Ahmedabad, 380060, Gujarat, India
| | - Anisha Gehani
- Department of Radiology and Imaging Sciences, Tata Medical Centre, New Town, WB 700160, India
| | - Abhishek Mahajan
- Department of Radiology, The Clatterbridge Cancer Centre NHS Foundation Trust, Liverpool, L7 8YA, United Kingdom
| | - Nivedita Chakrabarty
- Department of Radiodiagnosis, Tata Memorial Hospital, Tata Memorial Centre, Homi Bhabha National Institute (HBNI), 400012, Mumbai, India
| |
Collapse
|
4
|
Kong X, Zhang Q, Wu X, Zou T, Duan J, Song S, Nie J, Tao C, Tang M, Wang M, Zou J, Xie Y, Li Z, Li Z. Advances in Imaging in Evaluating the Efficacy of Neoadjuvant Chemotherapy for Breast Cancer. Front Oncol 2022; 12:816297. [PMID: 35669440 PMCID: PMC9163342 DOI: 10.3389/fonc.2022.816297] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2021] [Accepted: 03/29/2022] [Indexed: 11/13/2022] Open
Abstract
Neoadjuvant chemotherapy (NAC) is increasingly widely used in breast cancer treatment, and accurate evaluation of its response provides essential information for treatment and prognosis. Thus, the imaging tools used to quantify the disease response are critical in evaluating and managing patients treated with NAC. We discussed the recent progress, advantages, and disadvantages of common imaging methods in assessing the efficacy of NAC for breast cancer.
Collapse
Affiliation(s)
- Xianshu Kong
- Third Department of the Breast Surgery, The Third Affiliated Hospital of Kunming Medical University, Yunnan Cancer Hospital, Yunnan Cancer Center, Kunming, China
| | - Qian Zhang
- Third Department of the Breast Surgery, The Third Affiliated Hospital of Kunming Medical University, Yunnan Cancer Hospital, Yunnan Cancer Center, Kunming, China
| | - Xuemei Wu
- Third Department of the Breast Surgery, The Third Affiliated Hospital of Kunming Medical University, Yunnan Cancer Hospital, Yunnan Cancer Center, Kunming, China
| | - Tianning Zou
- Third Department of the Breast Surgery, The Third Affiliated Hospital of Kunming Medical University, Yunnan Cancer Hospital, Yunnan Cancer Center, Kunming, China
| | - Jiajun Duan
- Third Department of the Breast Surgery, The Third Affiliated Hospital of Kunming Medical University, Yunnan Cancer Hospital, Yunnan Cancer Center, Kunming, China
| | - Shujie Song
- Department of Pathology, The Third Affiliated Hospital of Kunming Medical University, Yunnan Cancer Hospital, Yunnan Cancer Center, Kunming, China
| | - Jianyun Nie
- Third Department of the Breast Surgery, The Third Affiliated Hospital of Kunming Medical University, Yunnan Cancer Hospital, Yunnan Cancer Center, Kunming, China
| | - Chu Tao
- Third Department of the Breast Surgery, The Third Affiliated Hospital of Kunming Medical University, Yunnan Cancer Hospital, Yunnan Cancer Center, Kunming, China
| | - Mi Tang
- Department of Pathology, The Third Affiliated Hospital of Kunming Medical University, Yunnan Cancer Hospital, Yunnan Cancer Center, Kunming, China
| | - Maohua Wang
- First Department of the Breast Surgery, The Third Affiliated Hospital of Kunming Medical University, Yunnan Cancer Hospital, Yunnan Cancer Center, Kunming, China
| | - Jieya Zou
- Third Department of the Breast Surgery, The Third Affiliated Hospital of Kunming Medical University, Yunnan Cancer Hospital, Yunnan Cancer Center, Kunming, China
| | - Yu Xie
- Department of Radiology, The Third Affiliated Hospital of Kunming Medical University, Yunnan Cancer Hospital, Yunnan Cancer Center, Kunming, China
| | - Zhenhui Li
- Department of Radiology, The Third Affiliated Hospital of Kunming Medical University, Yunnan Cancer Hospital, Yunnan Cancer Center, Kunming, China
- *Correspondence: Zhen Li, ; Zhenhui Li,
| | - Zhen Li
- Third Department of the Breast Surgery, The Third Affiliated Hospital of Kunming Medical University, Yunnan Cancer Hospital, Yunnan Cancer Center, Kunming, China
- *Correspondence: Zhen Li, ; Zhenhui Li,
| |
Collapse
|
5
|
Bos P, van der Hulst HJ, van den Brekel MWM, Schats W, Jasperse B, Beets-Tan RGH, Castelijns JA. Prognostic functional MR imaging parameters in head and neck squamous cell carcinoma: A systematic review. Eur J Radiol 2021; 144:109952. [PMID: 34562743 DOI: 10.1016/j.ejrad.2021.109952] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2021] [Revised: 08/10/2021] [Accepted: 08/31/2021] [Indexed: 01/17/2023]
Abstract
OBJECTIVE Functional MR imaging has demonstrated potential for predicting treatment response. This systematic review gives an extensive overview of the current level of evidence for pre-treatment MR-based perfusion and diffusion imaging parameters that are prognostic for treatment outcome in head and neck squamous cell carcinoma (HNSCC) (PROSPERO registrationCRD42020210689). MATERIALS AND METHODS According to the PRISMA statements, Medline, Embase and Scopus were queried for articles with a maximum date of October 19th, 2020. Studies investigating the predictive performance of pre-treatment MR-based perfusion and/or diffusion imaging parameters in HNSCC treatment response were included. All prognosticators were extracted from the primary tumor. Risk of bias was assessed using the QUIPS tool. Results were summarized in tables and forest plots. RESULTS 31 unique studies met the inclusion criteria; among them, 11 articles described perfusion (n = 529 patients) and 28 described diffusion (n = 1626 patients) MR-imaging, eight studies were included in both categories. Higher Ktrans and Kep were associated with better treatment response for OS and DFS, respectively. Study findings for Vp and Ve were inconsistent or not significant. High-level controversy was observed between studies examining the MR diffusion parameters mean and median ADC. CONCLUSION For HNSCC patients, the accurate and consistent results of pre-treatment MR-based perfusion parameters Ktrans and Kep are potential for clinical applicability predictive of OS and DFS and treatment decision guidance. Significant heterogeneity in study designs might affect high discrepancy in study results for parameters extracted from diffusion imaging. Furthermore, recommendations for future research were summarized.
Collapse
Affiliation(s)
- Paula Bos
- Department of Radiology, The Netherlands Cancer Institute, Amsterdam, the Netherlands; Department of Head and Neck Oncology and Surgery, The Netherlands Cancer Institute, Amsterdam, the Netherlands; GROW School for Oncology and Developmental Biology - University of Maastricht, Maastricht, the Netherlands.
| | - Hedda J van der Hulst
- Department of Radiology, The Netherlands Cancer Institute, Amsterdam, the Netherlands; Department of Head and Neck Oncology and Surgery, The Netherlands Cancer Institute, Amsterdam, the Netherlands; GROW School for Oncology and Developmental Biology - University of Maastricht, Maastricht, the Netherlands
| | - Michiel W M van den Brekel
- Department of Head and Neck Oncology and Surgery, The Netherlands Cancer Institute, Amsterdam, the Netherlands; Department of Oral and Maxillofacial Surgery, Amsterdam University Medical Center (AUMC), Amsterdam, the Netherlands
| | - Winnie Schats
- Scientific Information Service, The Netherlands Cancer Institute, Amsterdam, the Netherlands
| | - Bas Jasperse
- Department of Radiology, Amsterdam University Medical Center, Amsterdam, the Netherlands
| | - Regina G H Beets-Tan
- Department of Radiology, The Netherlands Cancer Institute, Amsterdam, the Netherlands; GROW School for Oncology and Developmental Biology - University of Maastricht, Maastricht, the Netherlands; Department of Regional Health Research, University of Southern Denmark, Denmark
| | - Jonas A Castelijns
- Department of Radiology, The Netherlands Cancer Institute, Amsterdam, the Netherlands
| |
Collapse
|
6
|
van Dijk LV, Fuller CD. Artificial Intelligence and Radiomics in Head and Neck Cancer Care: Opportunities, Mechanics, and Challenges. Am Soc Clin Oncol Educ Book 2021; 41:1-11. [PMID: 33929877 DOI: 10.1200/edbk_320951] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
The advent of large-scale high-performance computing has allowed the development of machine-learning techniques in oncologic applications. Among these, there has been substantial growth in radiomics (machine-learning texture analysis of images) and artificial intelligence (which uses deep-learning techniques for "learning algorithms"); however, clinical implementation has yet to be realized at scale. To improve implementation, opportunities, mechanics, and challenges, models of imaging-enabled artificial intelligence approaches need to be understood by clinicians who make the treatment decisions. This article aims to convey the basic conceptual premises of radiomics and artificial intelligence using head and neck cancer as a use case. This educational overview focuses on approaches for head and neck oncology imaging, detailing current research efforts and challenges to implementation.
Collapse
Affiliation(s)
- Lisanne V van Dijk
- Department of Radiation Oncology, MD Anderson Cancer Center, Houston, TX.,Department of Radiation Oncology, University Medical Center Groningen, University of Groningen, Groningen, Netherlands
| | - Clifton D Fuller
- Department of Radiation Oncology, MD Anderson Cancer Center, Houston, TX
| |
Collapse
|
7
|
The Effect of Rectal Distention on the Intravoxel Incoherent Motion Parameters: Using Sonography Transmission Gel. J Comput Assist Tomogr 2020; 44:759-765. [DOI: 10.1097/rct.0000000000001083] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
|
8
|
Sijtsema ND, Petit SF, Poot DHJ, Verduijn GM, van der Lugt A, Hoogeman MS, Hernandez-Tamames JA. An optimal acquisition and post-processing pipeline for hybrid IVIM-DKI in head and neck. Magn Reson Med 2020; 85:777-789. [PMID: 32869353 PMCID: PMC7693044 DOI: 10.1002/mrm.28461] [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: 02/14/2020] [Revised: 07/10/2020] [Accepted: 07/13/2020] [Indexed: 12/30/2022]
Abstract
Purpose To optimize the diffusion‐weighting b values and postprocessing pipeline for hybrid intravoxel incoherent motion diffusion kurtosis imaging in the head and neck region. Methods Optimized diffusion‐weighting b value sets ranging between 5 and 30 b values were constructed by optimizing the Cramér‐Rao lower bound of the hybrid intravoxel incoherent motion diffusion kurtosis imaging model. With this model, the perfusion fraction, pseudodiffusion coefficient, diffusion coefficient, and kurtosis were estimated. Sixteen volunteers were scanned with a reference b value set and 3 repeats of the optimized sets, of which 1 with volunteers swallowing on purpose. The effects of (1) b value optimization and number of b values, (2) registration type (none vs. intervolume vs. intra‐ and intervolume registration), and (3) manual swallowing artifact rejection on the parameter precision were assessed. Results The SD was higher in the reference set for perfusion fraction, diffusion coefficient, and kurtosis by a factor of 1.7, 1.5, and 2.3 compared to the optimized set, respectively. A smaller SD (factor 0.7) was seen in pseudodiffusion coefficient. The sets containing 15, 20, and 30 b values had comparable repeatability in all parameters, except pseudodiffusion coefficient, for which set size 30 was worse. Equal repeatability for the registration approaches was seen in all parameters of interest. Swallowing artifact rejection removed the bias when present. Conclusion To achieve optimal hybrid intravoxel incoherent motion diffusion kurtosis imaging in the head and neck region, b value optimization and swallowing artifact image rejection are beneficial. The optimized set of 15 b values yielded the optimal protocol efficiency, with a precision comparable to larger b value sets and a 50% reduction in scan time.
Collapse
Affiliation(s)
- Nienke D Sijtsema
- Department of Radiation Oncology, Erasmus MC Cancer Institute, Rotterdam, The Netherlands.,Department of Radiology and Nuclear Medicine, Erasmus MC, Rotterdam, The Netherlands
| | - Steven F Petit
- Department of Radiation Oncology, Erasmus MC Cancer Institute, Rotterdam, The Netherlands
| | - Dirk H J Poot
- Department of Radiology and Nuclear Medicine, Erasmus MC, Rotterdam, The Netherlands.,Department of Medical Informatics, Erasmus MC, Rotterdam, The Netherlands
| | - Gerda M Verduijn
- Department of Radiation Oncology, Erasmus MC Cancer Institute, Rotterdam, The Netherlands
| | - Aad van der Lugt
- Department of Radiology and Nuclear Medicine, Erasmus MC, Rotterdam, The Netherlands
| | - Mischa S Hoogeman
- Department of Radiation Oncology, Erasmus MC Cancer Institute, Rotterdam, The Netherlands.,Department of Medical Physics & Informatics, HollandPTC, Delft, The Netherlands
| | | |
Collapse
|
9
|
Iima M. Perfusion-driven Intravoxel Incoherent Motion (IVIM) MRI in Oncology: Applications, Challenges, and Future Trends. Magn Reson Med Sci 2020; 20:125-138. [PMID: 32536681 PMCID: PMC8203481 DOI: 10.2463/mrms.rev.2019-0124] [Citation(s) in RCA: 34] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022] Open
Abstract
Recent developments in MR hardware and software have allowed a surge of interest in intravoxel incoherent motion (IVIM) MRI in oncology. Beyond diffusion-weighted imaging (and the standard apparent diffusion coefficient mapping most commonly used clinically), IVIM provides information on tissue microcirculation without the need for contrast agents. In oncology, perfusion-driven IVIM MRI has already shown its potential for the differential diagnosis of malignant and benign tumors, as well as for detecting prognostic biomarkers and treatment monitoring. Current developments in IVIM data processing, and its use as a method of scanning patients who cannot receive contrast agents, are expected to increase further utilization. This paper reviews the current applications, challenges, and future trends of perfusion-driven IVIM in oncology.
Collapse
Affiliation(s)
- Mami Iima
- Department of Diagnostic Imaging and Nuclear Medicine, Kyoto University Graduate School of Medicine.,Department of Clinical Innovative Medicine, Institute for Advancement of Clinical and Translational Science (iACT), Kyoto University Hospital
| |
Collapse
|
10
|
Dolgorsuren EA, Harada M, Kanazawa Y, Abe T, Otomo M, Matsumoto Y, Mizobuchi Y, Nakajima K. Correlation and Characteristics of Intravoxel Incoherent Motion and Arterial Spin Labeling Techniques Versus Multiple Parameters Obtained on Dynamic Susceptibility Contrast Perfusion MRI for Brain Tumors. THE JOURNAL OF MEDICAL INVESTIGATION 2020; 66:308-313. [PMID: 31656295 DOI: 10.2152/jmi.66.308] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022]
Abstract
Purpose : To compare data on brain tumors derived from intravoxel incoherent motion (IVIM) and arterial spin labeling (ASL) imaging with multiple parameters obtained on dynamic susceptibility contrast (DSC) perfusion MRI and to clarify the characteristics of IVIM and ASL perfusion data from the viewpoint of cerebral blood flow (CBF) analysis. Methods : ASL-CBF and IVIM techniques as well as DSC examination were performed in 24 patients with brain tumors. The IVIM data were analyzed with the two models. The relative blood flow (rBF), relative blood volume (rBV) corrected relative blood volume (crBV), mean transit time (MTT), and leakage coefficient (K2) were obtained from the DSC MRI data. Results : The ASL-CBF had the same tendency as the perfusion parameters derived from the DSC data, but the permeability from the vessels had less of an effect on the ASL-CBF. The diffusion coefficient of the fast component on IVIM contained more information on permeability than the f value. Conclusion : ASL-CBF is more suitable for the evaluation of perfusion in brain tumors than IVIM parameters. ASL-CBF and IVIM techniques should be carefully selected and the biological significance of each parameter should be understood for the correct comprehension of the pathological status of brain tumors. J. Med. Invest. 66 : 308-313, August, 2019.
Collapse
Affiliation(s)
| | - Masafumi Harada
- Department of Radiology and Radiation Oncology, Tokushima University, Tokushima, Japan
| | - Yuki Kanazawa
- Institute of Biomedical Sciences, Tokushima University, Tokushima, Japan
| | - Takashi Abe
- Department of Radiology and Radiation Oncology, Tokushima University, Tokushima, Japan
| | - Maki Otomo
- Department of Radiology and Radiation Oncology, Tokushima University, Tokushima, Japan
| | - Yuki Matsumoto
- Department of Radiology and Radiation Oncology, Tokushima University, Tokushima, Japan
| | | | - Kohhei Nakajima
- Department of Neurosurgery, Tokushima University, Tokushima, Japan
| |
Collapse
|
11
|
Núñez DA, Lu Y, Paudyal R, Hatzoglou V, Moreira AL, Oh JH, Stambuk HE, Mazaheri Y, Gonen M, Ghossein RA, Shaha AR, Tuttle RM, Shukla-Dave A. Quantitative Non-Gaussian Intravoxel Incoherent Motion Diffusion-Weighted Imaging Metrics and Surgical Pathology for Stratifying Tumor Aggressiveness in Papillary Thyroid Carcinomas. ACTA ACUST UNITED AC 2020; 5:26-35. [PMID: 30854439 PMCID: PMC6403039 DOI: 10.18383/j.tom.2018.00054] [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: 12/26/2022]
Abstract
We assessed a priori aggressive features using quantitative diffusion-weighted imaging metrics to preclude an active surveillance management approach in patients with papillary thyroid cancer (PTC) with tumor size 1-2 cm. This prospective study enrolled 24 patients with PTC who underwent pretreatment multi-b-value diffusion-weighted imaging on a GE 3 T magnetic resonance imaging scanner. The apparent diffusion coefficient (ADC) metric was calculated from monoexponential model, and the perfusion fraction (f), diffusion coefficient (D), pseudo-diffusion coefficient (D*), and diffusion kurtosis coefficient (K) metrics were estimated using the non-Gaussian intravoxel incoherent motion model. Neck ultrasonography examination data were used to calculate tumor size. The receiver operating characteristic curve assessed the discriminative specificity, sensitivity, and accuracy between PTCs with and without features of tumor aggressiveness. Multivariate logistic regression analysis was performed on metrics using a leave-1-out cross-validation method. Tumor aggressiveness was defined by surgical histopathology. Tumors with aggressive features had significantly lower ADC and D values than tumors without tumor-aggressive features (P < .05). The absolute relative change was 46% in K metric value between the 2 tumor types. In total, 14 patients were in the critical size range (1-2 cm) measured by ultrasonography, and the ADC and D were significantly different and able to differentiate between the 2 tumor types (P < .05). ADC and D can distinguish tumors with aggressive histological features to preclude an active surveillance management approach in patients with PTC with tumors measuring 1-2 cm.
Collapse
Affiliation(s)
- David Aramburu Núñez
- Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Yonggang Lu
- Department of Radiology, Medical College of Wisconsin, Milwaukee, WI
| | - Ramesh Paudyal
- Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY
| | | | - Andre L Moreira
- Department of Pathology, NYU Langone Medical Center, New York, NY
| | - Jung Hun Oh
- Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY
| | | | - Yousef Mazaheri
- Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY
| | | | | | | | | | - Amita Shukla-Dave
- Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY.,Departments of Radiology
| |
Collapse
|
12
|
Vidiri A, Marzi S, Gangemi E, Benevolo M, Rollo F, Farneti A, Marucci L, Spasiano F, Sperati F, Di Giuliano F, Pellini R, Sanguineti G. Intravoxel incoherent motion diffusion-weighted imaging for oropharyngeal squamous cell carcinoma: Correlation with human papillomavirus Status. Eur J Radiol 2019; 119:108640. [DOI: 10.1016/j.ejrad.2019.08.009] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2019] [Revised: 07/17/2019] [Accepted: 08/11/2019] [Indexed: 01/04/2023]
|
13
|
Schawkat K, Sah BR, Ter Voert EE, Delso G, Wurnig M, Becker AS, Leibl S, Schneider PM, Reiner CS, Huellner MW, Veit-Haibach P. Role of intravoxel incoherent motion parameters in gastroesophageal cancer: relationship with 18F-FDG-positron emission tomography, computed tomography perfusion and magnetic resonance perfusion imaging parameters. 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 2019; 65:178-186. [PMID: 31496202 DOI: 10.23736/s1824-4785.19.03153-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
BACKGROUND Identification of pretherapeutic predictive markers in gastro-esophageal cancer is essential for individual-oriented treatment. This study evaluated the relationship of multimodality parameters derived from intravoxel incoherent motion method (IVIM), 18F-FDG-positron emission tomography (PET), computed tomography (CT) perfusion and dynamic contrast enhanced magnetic resonance imaging (MRI) in patients with gastro-esophageal cancer and investigated their histopathological correlation. METHODS Thirty-one consecutive patients (28 males; median age 63.9 years; range 37-84 years) with gastro-esophageal adenocarcinoma (N.=22) and esophageal squamous cell carcinoma (N.=9) were analyzed. IVIM parameters: pseudodiffusion (D*), perfusion fraction (fp), true diffusion (D) and the threshold b-value (bval); PET-parameters: SUV<inf>max</inf>, metabolic tumor volume (MTV) and total lesion glycolysis (TLG); CT perfusion parameters: blood flow (BF), blood volume (BV) and mean transit time (MTT); and MR perfusion parameters: time to enhance, positive enhancement integral, time-to-peak (TTP), maximum-slope-of-increase, and maximum-slope-of-decrease were determined, and correlated to each other and to histopathology. RESULTS IVIM and PET parameters showed significant negative correlations: MTV and bval (r<inf>s</inf> =-0.643, P=0.002), TLG and bval (r<inf>s</inf>=-0.699, P<0.01) and TLG and fp (r<inf>s</inf>=-0.577, P=0.006). Positive correlation was found for TLG and D (r<inf>s</inf>=0.705, P=0.000). Negative correlation was found for bval and staging (r<inf>s</inf>=0.590, P=0.005). Positive correlation was found for positive enhancement interval and BV (r<inf>s</inf>=0.547, P=0.007), BF and regression index (r<inf>s</inf>=0.753, P=0.005) and for time-to-peak and staging (r<inf>s</inf>=0.557, P=0.005). CONCLUSIONS IVIM parameters (bval, fp, D) provide quantitative information and correlate with PET parameters (MTV, TLG) and staging. IVIM might be a useful tool for additional characterization of gastro-esophageal cancer.
Collapse
Affiliation(s)
- Khoschy Schawkat
- Department of Diagnostic and Interventional Radiology, University Hospital Zurich, Zurich, Switzerland - .,University of Zurich, Zurich, Switzerland -
| | - Bert-Ram Sah
- Department of Diagnostic and Interventional Radiology, University Hospital Zurich, Zurich, Switzerland.,University of Zurich, Zurich, Switzerland.,Department of Nuclear Medicine, University Hospital Zurich, Zurich, Switzerland
| | - Edwin E Ter Voert
- University of Zurich, Zurich, Switzerland.,Department of Nuclear Medicine, University Hospital Zurich, Zurich, Switzerland
| | - Gaspar Delso
- Department of Nuclear Medicine, University Hospital Zurich, Zurich, Switzerland
| | - Moritz Wurnig
- Department of Diagnostic and Interventional Radiology, University Hospital Zurich, Zurich, Switzerland.,University of Zurich, Zurich, Switzerland
| | - Anton S Becker
- Department of Diagnostic and Interventional Radiology, University Hospital Zurich, Zurich, Switzerland.,University of Zurich, Zurich, Switzerland
| | - Sebastian Leibl
- Department of Pathology, University Hospital Zurich, Zurich, Switzerland
| | - Paul M Schneider
- Center for Visceral, Thoracic and Specialized Tumor Surgery, Hirslanden Medical Center, Zurich, Switzerland
| | - Cäcilia S Reiner
- Department of Diagnostic and Interventional Radiology, University Hospital Zurich, Zurich, Switzerland.,University of Zurich, Zurich, Switzerland
| | - Martin W Huellner
- University of Zurich, Zurich, Switzerland.,Department of Nuclear Medicine, University Hospital Zurich, Zurich, Switzerland
| | - Patrick Veit-Haibach
- Department of Diagnostic and Interventional Radiology, University Hospital Zurich, Zurich, Switzerland.,University of Zurich, Zurich, Switzerland.,Department of Nuclear Medicine, University Hospital Zurich, Zurich, Switzerland.,University of Toronto, Toronto, ON, Canada.,Toronto Joint Department of Medical Imaging, University Hospital of Zurich, Toronto General Hospital, Zurich, Switzerland
| |
Collapse
|
14
|
Payabvash S. Quantitative diffusion magnetic resonance imaging in head and neck tumors. Quant Imaging Med Surg 2018; 8:1052-1065. [PMID: 30598882 DOI: 10.21037/qims.2018.10.14] [Citation(s) in RCA: 32] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
In patients with head and neck cancer, conventional anatomical magnetic resonance imaging (MRI) scans are commonly used for identification of primary lesion, assessment of structural distortion, and presence of metastatic lymph nodes. However, quantitative analysis of diffusion MRI can provide added value to structural and anatomical evaluation of head and neck tumors (HNT), by differentiation of primary malignant process, prognostic prediction, and treatment monitoring. In this article, we will review the applications of quantitative diffusion MRI in identification of primary malignant tissue, differentiation of tumor pathology, prediction of molecular phenotype, monitoring of treatment response, and evaluation of posttreatment changes in patient with HNT.
Collapse
Affiliation(s)
- Seyedmehdi Payabvash
- Department of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, CT, USA
| |
Collapse
|
15
|
Rong D, Mao Y, Hu W, Xu S, Wang J, He H, Li S, Zhang R. Intravoxel incoherent motion magnetic resonance imaging for differentiating metastatic and non-metastatic lymph nodes in pancreatic ductal adenocarcinoma. Eur Radiol 2018; 28:2781-2789. [PMID: 29404768 DOI: 10.1007/s00330-017-5259-0] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2017] [Revised: 11/14/2017] [Accepted: 12/20/2017] [Indexed: 01/27/2023]
Abstract
OBJECTIVES To evaluate the diagnostic potential of intravoxel incoherent motion (IVIM) DWI for differentiating metastatic and non-metastatic lymph node stations (LNS) in pancreatic ductal adenocarcinoma (PDAC). METHODS 59 LNS histologically diagnosed following surgical resection from 15 patients were included. IVIM DWI with 12 b values was added to the standard MRI protocol. Evaluation of parameters was performed pre-operatively and included the apparent diffusion coefficient (ADC), pure diffusion coefficient (D), pseudo-diffusion coefficient (D*) and perfusion fraction (f). Diagnostic performance of ADC, D, D* and f for differentiating between metastatic and non-metastatic LNS was evaluated using ROC analysis. RESULTS Metastatic LNS had significantly lower D, D*, f and ADC values than the non-metastatic LNS (p< 0.01). The best diagnostic performance was found in D, with an area under the ROC curve of 0.979, while the area under the ROC curve values of D*, f and ADC were 0.867, 0.855 and 0.940, respectively. The optimal cut-off values for distinguishing metastatic and non-metastatic lymph nodes were D = 1.180 × 10-3 mm2/s; D* = 14.750 × 10-3 mm2/s, f = 20.65 %, and ADC = 1.390 × 10-3 mm2/s. CONCLUSION IVIM DWI is useful for differentiating between metastatic and non-metastatic LNS in PDAC. KEY POINTS • IVIM DWI is feasible for diagnosing LN metastasis in PDAC. • Metastatic LNS has lower D, D*, f, ADC values than non-metastatic LNS. • D-value from IVIM model has best diagnostic performance, followed by ADC value. • D* has the lowest AUC value.
Collapse
Affiliation(s)
- Dailin Rong
- State Key Laboratory of Oncology in Southern China, Guangzhou, 510060, China
- Department of Radiology, Sun Yat-sen University Cancer Center, No. 651 Dongfeng Road East, Guangzhou, 510060, China
| | - Yize Mao
- State Key Laboratory of Oncology in Southern China, Guangzhou, 510060, China
- Department of Hepato-Biliary-Pancreatic Oncology, Sun Yat-Sen University Cancer Center, No. 651 Dongfeng Road East, Guangzhou, 510060, China
| | - Wanming Hu
- State Key Laboratory of Oncology in Southern China, Guangzhou, 510060, China
- Department of Pathology, Sun Yat-sen University Cancer Center, No. 651 Dongfeng Road East, Guangzhou, 510060, China
| | - Shuhang Xu
- Department of Ultrasound, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, 510630, Guangdong Province, People's Republic of China
| | - Jun Wang
- State Key Laboratory of Oncology in Southern China, Guangzhou, 510060, China
- Department of Hepato-Biliary-Pancreatic Oncology, Sun Yat-Sen University Cancer Center, No. 651 Dongfeng Road East, Guangzhou, 510060, China
- Department of Ultrasound, Sun Yat-sen University Cancer Center, No. 651 Dongfeng Road East, Guangzhou, 510060, China
| | - Haoqiang He
- State Key Laboratory of Oncology in Southern China, Guangzhou, 510060, China
- Department of Radiology, Sun Yat-sen University Cancer Center, No. 651 Dongfeng Road East, Guangzhou, 510060, China
| | - Shengping Li
- State Key Laboratory of Oncology in Southern China, Guangzhou, 510060, China.
- Department of Hepato-Biliary-Pancreatic Oncology, Sun Yat-Sen University Cancer Center, No. 651 Dongfeng Road East, Guangzhou, 510060, China.
| | - Rong Zhang
- State Key Laboratory of Oncology in Southern China, Guangzhou, 510060, China.
- Department of Radiology, Sun Yat-sen University Cancer Center, No. 651 Dongfeng Road East, Guangzhou, 510060, China.
| |
Collapse
|
16
|
Xiao Y, Chen Y, Chen Y, He Z, Yao Y, Pan J. Longitudinal Assessment of Intravoxel Incoherent Motion Diffusion Weighted Imaging in Evaluating the Radio-sensitivity of Nasopharyngeal Carcinoma Treated with Intensity-Modulated Radiation Therapy. Cancer Res Treat 2018; 51:345-356. [PMID: 29764118 PMCID: PMC6334000 DOI: 10.4143/crt.2018.089] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2018] [Accepted: 05/09/2018] [Indexed: 12/15/2022] Open
Abstract
Purpose Intravoxel incoherent motion diffusion-weighted imaging (IVIM-DWI)was evaluated regarding its ability to preliminarily predict the short-term treatment response of nasopharyngeal carcinoma (NPC) following intensity-modulated radiation therapy. Materials and Methods IVIM-DWI with 14 b-factors (0-1,000 sec/mm2) was performed with a 3T MR system on 47 consecutive NPCs before, during (end of the 5th, 10th, 15th, 20th, and 25th fractions), and after fractional radiotherapy. IVIM parametrics (D, f, and D*) were calculated and compared to the baseline and xth fraction. Patients were categorized into responders and non-responders after radiotherapy. IVIM parametrics were also compared between subgroups. Results After fractional radiations, the D (except D5 and D at the end of the 5th fraction) after radiations were larger than the baseline D0 (p < 0.05), and the post-radiation D* (except D*5 and D*10) were smaller than D*0 (p < 0.05). f0 was smaller than f5 and f10 (p < 0.001) but larger than fend (p < 0.05). Furthermore, greater D5, D10, D15, and f10 coupled with smaller f0, D*20, and D*25 were observed in responders than non-responders (all p < 0.01). Responders also presented larger ΔD10, Δf10, ΔD*20, and δD*20 than non-responders (p < 0.05). Receiver operating characteristic curve analysis indicated that the D5, D*20, and f10 could better differentiate responders from non-responders. Conclusion IVIM-DWI could efficiently assess tumor treatment response to fractional radiotherapy and predict the radio-sensitivity for NPCs.
Collapse
Affiliation(s)
- Youping Xiao
- Department of Radiology, Fujian Cancer Hospital & Fujian Medical University Cancer Hospital, Fuzhou, China
| | - Ying Chen
- Department of Radiology, Fujian Cancer Hospital & Fujian Medical University Cancer Hospital, Fuzhou, China
| | - Yunbin Chen
- Department of Radiology, Fujian Cancer Hospital & Fujian Medical University Cancer Hospital, Fuzhou, China
| | - Zhuangzhen He
- Department of Radiology, Fujian Cancer Hospital & Fujian Medical University Cancer Hospital, Fuzhou, China
| | - Yiqi Yao
- Department of Radiology, Fujian Cancer Hospital & Fujian Medical University Cancer Hospital, Fuzhou, China
| | - Jianji Pan
- Department of Radiation Oncology, Fujian Cancer Hospital & Fujian Medical University Cancer Hospital, Fuzhou, China
| |
Collapse
|
17
|
Chen L, Ye Y, Chen H, Chen S, Jiang J, Dan G, Huang B. Dynamic Contrast-enhanced Magnetic Resonance Imaging for Differentiating Between Primary Tumor, Metastatic Node and Normal Tissue in Head and Neck Cancer. Curr Med Imaging 2018; 14:416-421. [PMID: 29910699 PMCID: PMC5971198 DOI: 10.2174/1573405614666171205105236] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2017] [Revised: 11/23/2017] [Accepted: 12/04/2017] [Indexed: 01/04/2023]
Abstract
OBJECTIVE To study the difference of the Dynamic Contrast-Enhanced Magnetic Resonance Imaging (DCE-MRI) parameters among the primary tumor, metastatic node and peripheral normal tissue of head and neck cancer. MATERIALS AND METHODS Consecutive newly-diagnosed head and neck cancer patients with nodal metastasis between December 2010 and July 2013 were recruited, and 25 patients (8 females; 24~63,mean 43±11 years old) were enrolled. DCE-MRI was performed in the primary tumor region including the regional lymph nodes on a 3.0-T MRI system. Three quantitative parameters: Ktrans (volume transfer constant), ve (volume fraction of extravascular extracellular space) and kep (the rate constant of contrast transfer) were calculated for the largest node. A repeated-measure ANOVA with a Greenhouse-Geisser correction and post hoc tests using the Bonferroni correction were used to evaluate the differences in Ktrans, ve and kep among primary tumors, metastatic nodes and normal tissue. RESULTS The values of both Ktrans and ve of normal tissue differed significantly from those of nodes (both P < 0.001) and primary tumors (both P < 0.001) respectively, while no significant differences of Ktrans and ve were observed between nodes and primary tumors (P = 0.075 and 0.365 respectively). The kep values of primary tumors were significantly different from those of nodes (P = 0.001) and normal tissue (P = 0.002), while no significant differences between nodes and normal tissue (P > 0.999). CONCLUSION The DCE-MRI parameters were different in the tumors, metastatic nodes and normal tissue in head and neck cancer. These findings may be useful in the characterization of head and neck cancer.
Collapse
Affiliation(s)
- Liangliang Chen
- National-Regional Key Technology Engineering Laboratory for Medical Ultrasound, Guangdong Key Laboratory for Biomedical Measurements and Ultrasound Imaging, School of Biomedical Engineering, Health Science Center, Shenzhen University, Shenzhen, China
| | - Yufeng Ye
- Department of Radiology, Guangzhou Panyu Central Hospital, Guangzhou, China.,Medical Imaging Institute of Panyu, Guangzhou, China
| | - Hanwei Chen
- Department of Radiology, Guangzhou Panyu Central Hospital, Guangzhou, China.,Medical Imaging Institute of Panyu, Guangzhou, China
| | - Shihui Chen
- National-Regional Key Technology Engineering Laboratory for Medical Ultrasound, Guangdong Key Laboratory for Biomedical Measurements and Ultrasound Imaging, School of Biomedical Engineering, Health Science Center, Shenzhen University, Shenzhen, China
| | - Jinzhao Jiang
- Department of Radiology, The University of Hong Kong Shenzhen Hospital, Shenzhen, China
| | - Guo Dan
- National-Regional Key Technology Engineering Laboratory for Medical Ultrasound, Guangdong Key Laboratory for Biomedical Measurements and Ultrasound Imaging, School of Biomedical Engineering, Health Science Center, Shenzhen University, Shenzhen, China
| | - Bingsheng Huang
- National-Regional Key Technology Engineering Laboratory for Medical Ultrasound, Guangdong Key Laboratory for Biomedical Measurements and Ultrasound Imaging, School of Biomedical Engineering, Health Science Center, Shenzhen University, Shenzhen, China
| |
Collapse
|
18
|
Zhang Y, Zhu X, Liu D, Song J, Zhang H, Lu J. Pre-treatment DWI as a predictor of overall survival in locally advanced pancreatic cancer treated with Cyberknife radiotherapy and sequential S-1 therapy. Cancer Imaging 2018; 18:6. [PMID: 29471875 PMCID: PMC5824450 DOI: 10.1186/s40644-018-0139-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2017] [Accepted: 02/05/2018] [Indexed: 11/30/2022] Open
Abstract
Background To identify the value of the pre-treatment apparent diffusion coefficient (ADC) derived from diffusion weighted imaging (DWI) in predicting the overall survival (OS) for locally advanced pancreatic cancer (LAPC) treated with Cyberknife followed by sequential S-1 chemotherapy. Methods Patients with UICC-T4 LAPC who underwent DWI scan (3.0 Tesla) using two b-values (0, 600 s/mm2) in our center between 2015 and 2017 were enrolled. Mean ADCs of the region of interest (ROI) drawn manually on DWI imaging were measured by two independent radiologists at an interval of 1 month. The association between prognostic factors and patient survival was determined using univariate and multivariate analyses. Cox proportional hazard model was used for identification of independent prognostic factors of OS. Results A total of 41 patients (28 males and 13 females) were included, with a median age of 64 years, with 5 patients (3 males and 2 females) lost. The median OS was 11.7 months (range 2.8–23.3) among all 41 patients. The 1-year OS was 46% (95% CI 30%–62%). Univariate and multivariate analyses indicated that pre-treatment ADC value (HR 10.652, P = 0.0093), age (HR 0.952, P = 0.015), CA19–9 (HR 1.001, P = 0.0022) and administration of S-1 (HR 0.128, P = 0.0002) were independent predicting factors of OS. Conclusion The mean ADC value of the primary tumor on pre-treatment DWI imaging was an independent predictor of OS in patients with LAPC receiving Cyberknife followed by sequential S-1.
Collapse
Affiliation(s)
- Yu Zhang
- Department of Radiology, Changhai Hospital Affiliated to the Second Military Medical University, Changhai Road 168, Yangpu district, Shanghai, 200433, People's Republic of China
| | - Xiaofei Zhu
- Department of Oncology Radiation, Changhai Hospital Affiliated to the Second Military Medical University, Changhai Road 168, Yangpu district, Shanghai, 200433, People's Republic of China
| | - Denghui Liu
- Department of Orthopedics, No. 113 Hospital of People's Liberation Army, East Zhongshan Road 377, Jiangdong District, Ningbo, 315000, People's Republic of China
| | - Jiaqi Song
- Department of health statistics, Second Military Medical University, Xiangyin Road 800, Yangpu district, Shanghai, 200433, People's Republic of China
| | - Huojun Zhang
- Department of Oncology Radiation, Changhai Hospital Affiliated to the Second Military Medical University, Changhai Road 168, Yangpu district, Shanghai, 200433, People's Republic of China
| | - Jianping Lu
- Department of Radiology, Changhai Hospital Affiliated to the Second Military Medical University, Changhai Road 168, Yangpu district, Shanghai, 200433, People's Republic of China.
| |
Collapse
|
19
|
Hejduk B, Bobek-Billewicz B, Rutkowski T, Hebda A, Zawadzka A, Jurkowski MK. Application of Intravoxel Incoherent Motion (IVIM) Model for Differentiation Between Metastatic and Non-Metastatic Head and Neck Lymph Nodes. Pol J Radiol 2017; 82:506-510. [PMID: 29662580 PMCID: PMC5894025 DOI: 10.12659/pjr.902275] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2016] [Accepted: 12/11/2016] [Indexed: 11/18/2022] Open
Abstract
Background Application of intravoxel incoherent motion (IVIM) model parameters, including: true diffusion (D), pseudodiffusion (D*), and perfusion fraction (Fp), for differentiation between metastatic and non-metastatic head and neck lymph nodes. Material/Methods Diffusion-weighted images/apparent diffusion coefficient (DWI/ADC) images of 86 lymph nodes from 31 cancer patients were analyzed. DWI images were obtained with a 1.5T MRI scanner (Magnetom Avanto); b=0,50, 150, 300, 500, 750, 1000, 1200 s/mm2. Results In the study group, there were 32 (37%) and 54 (67%) metastatic and non-metastatic lymph nodes, respectively. The mean values of D, D*, and Fp did not differ significantly between metastatic and non-metastatic lymph nodes. Conclusions IVIM parameters are not useful for differentiation between metastatic and non-metastatic head and neck lymph nodes.
Collapse
Affiliation(s)
- Beata Hejduk
- Department of Radiology and Diagnostic Imaging, Center of Oncology - M. Skłodowska-Curie Memorial Institute, Branch in Gliwice, Gliwice, Poland
| | - Barbara Bobek-Billewicz
- Department of Radiology and Diagnostic Imaging, Center of Oncology - M. Skłodowska-Curie Memorial Institute, Branch in Gliwice, Gliwice, Poland
| | - Tomasz Rutkowski
- I Clinic of Radiotherapy and Chemotherapy, Center of Oncology - M. Skłodowska-Curie Memorial Institute, Branch in Gliwice, Gliwice, Poland
| | - Anna Hebda
- Department of Radiology and Diagnostic Imaging, Center of Oncology - M. Skłodowska-Curie Memorial Institute, Branch in Gliwice, Gliwice, Poland
| | - Agata Zawadzka
- Department of Radiology and Diagnostic Imaging, Center of Oncology - M. Skłodowska-Curie Memorial Institute, Branch in Gliwice, Gliwice, Poland
| | - Marek K Jurkowski
- Department of Medical Physics, Center of Oncology - M. Skłodowska-Curie Memorial Institute, Branch in Gliwice, Gliwice, Poland.,Department of Medical Analytics, University of Warmia and Mazury, Olsztyn, Poland
| |
Collapse
|
20
|
Lymph node metastasis in head and neck squamous carcinoma: Efficacy of intravoxel incoherent motion magnetic resonance imaging for the differential diagnosis. Eur J Radiol 2017; 90:159-165. [DOI: 10.1016/j.ejrad.2017.02.039] [Citation(s) in RCA: 29] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2015] [Revised: 01/17/2017] [Accepted: 02/23/2017] [Indexed: 01/13/2023]
|
21
|
Noij DP, Martens RM, Marcus JT, de Bree R, Leemans CR, Castelijns JA, de Jong MC, de Graaf P. Intravoxel incoherent motion magnetic resonance imaging in head and neck cancer: A systematic review of the diagnostic and prognostic value. Oral Oncol 2017; 68:81-91. [DOI: 10.1016/j.oraloncology.2017.03.016] [Citation(s) in RCA: 32] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2016] [Revised: 03/12/2017] [Accepted: 03/25/2017] [Indexed: 12/20/2022]
|
22
|
A comparative simulation study of bayesian fitting approaches to intravoxel incoherent motion modeling in diffusion-weighted MRI. Magn Reson Med 2017; 78:2373-2387. [DOI: 10.1002/mrm.26598] [Citation(s) in RCA: 47] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2016] [Revised: 12/08/2016] [Accepted: 12/13/2016] [Indexed: 01/27/2023]
|
23
|
Paudyal R, Oh JH, Riaz N, Venigalla P, Li J, Hatzoglou V, Leeman J, Nunez DA, Lu Y, Deasy JO, Lee N, Shukla-Dave A. Intravoxel incoherent motion diffusion-weighted MRI during chemoradiation therapy to characterize and monitor treatment response in human papillomavirus head and neck squamous cell carcinoma. J Magn Reson Imaging 2016; 45:1013-1023. [PMID: 27862553 PMCID: PMC5363344 DOI: 10.1002/jmri.25523] [Citation(s) in RCA: 46] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2016] [Accepted: 10/07/2016] [Indexed: 01/17/2023] Open
Abstract
PURPOSE Characterize and monitor treatment response in human papillomavirus (HPV) head and neck squamous cell carcinoma (HNSCC) using intra-treatment (intra-TX) imaging metrics derived from intravoxel incoherent motion (IVIM) diffusion-weighted magnetic resonance imaging (DW-MRI). MATERIALS AND METHODS Thirty-four (30 HPV positive [+] and 4 HPV negative [-]) HNSCC patients underwent a total of 136 MRI including multi-b value DW-MRI (pretreatment [pre-TX] and intra-TX weeks 1, 2, and 3) at 3.0 Tesla. All patients were treated with chemo-radiation therapy. Monoexponential (yielding apparent diffusion coefficient [ADC]) and bi-exponential (yielding perfusion fraction [f], diffusion [D], and pseudo-diffusion [D*] coefficients) fits were performed on a region of interest and voxel-by-voxel basis, on metastatic neck nodes. Response was assessed using RECISTv1.1. The relative percentage change in D, f, and D* between the pre- and intra-TX weeks were used for hierarchical clustering. A Wilcoxon rank-sum test was performed to assess the difference in metrics within and between the complete response (CR) and non-CR groups. RESULTS The delta (Δ) change in volume (V)1wk-0wk for the CR group differed significantly (P = 0.016) from the non-CR group, while not for V2wk-0wk and V3wk-0wk (P > 0.05). The mean increase in ΔD3wk-0wk for the CR group was significantly higher (P = 0.017) than the non-CR group. ADC and D showed an increasing trend at each intra-TX week when compared with pre-TX in CR group (P < 0.003). Hierarchical clustering demonstrated the existence of clusters in HPV + patients. CONCLUSION After appropriate validation in a larger population, these IVIM imaging metrics may be useful for individualized treatment in HNSCC patients. LEVEL OF EVIDENCE 2 J. Magn. Reson. Imaging 2017;45:1013-1023.
Collapse
Affiliation(s)
- Ramesh Paudyal
- Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, New York, USA
| | - Jung Hun Oh
- Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, New York, USA
| | - Nadeem Riaz
- Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, New York, USA
| | - Praveen Venigalla
- Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, New York, USA
| | - Jingao Li
- Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, New York, USA.,Department of Radiation Oncology, Jiangxi Cancer Hospital, Nanchang, P.R. China
| | - Vaios Hatzoglou
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, New York, USA
| | - Jonathan Leeman
- Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, New York, USA
| | - David Aramburu Nunez
- Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, New York, USA
| | - Yonggang Lu
- Department of Radiation Oncology, Washington University in St. Louis, St. Louis, Missouri, USA
| | - Joseph O Deasy
- Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, New York, USA
| | - Nancy Lee
- Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, New York, USA
| | - Amita Shukla-Dave
- Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, New York, USA.,Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, New York, USA
| |
Collapse
|
24
|
Deng Y, Li X, Lei Y, Liang C, Liu Z. Use of diffusion-weighted magnetic resonance imaging to distinguish between lung cancer and focal inflammatory lesions: a comparison of intravoxel incoherent motion derived parameters and apparent diffusion coefficient. Acta Radiol 2016; 57:1310-1317. [PMID: 25972370 DOI: 10.1177/0284185115586091] [Citation(s) in RCA: 37] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
Background Using imaging techniques to diagnose malignant and inflammatory lesions in the lung can be challenging. Purpose To compare intravoxel incoherent motion (IVIM) and apparent diffusion coefficient (ADC) magnetic resonance imaging (MRI) analysis in their ability to discriminate lung cancer from focal inflammatory lung lesions. Material and Methods Thirty-eight patients with lung masses were included: 30 lung cancers and eight inflammatory lesions. Patients were imaged with 3.0T MRI diffusion weighted imaging (DWI) using 10 b values (range, 0-1000 s/mm2). Tissue diffusivity ( D), pseudo-diffusion coefficient ( D*), and perfusion fraction ( f) were calculated using segmented biexponential analysis. ADC (total) was calculated with monoexponential fitting of the DWI data. D, D*, f, and ADC were compared between lung cancer and inflammatory lung lesions. Receiver operating characteristic analysis was performed for all DWI parameters. Results The ADC was significantly higher for inflammatory lesions than for lung cancer ([1.21 ± 0.20] × 10-3 mm2/s vs. [0.97 ± 0.15] × 10-3 mm2/s; P = 0.004). By IVIM, f was found to be significantly higher in inflammatory lesions than lung cancer ([46.10 ± 12.92] % vs. [29.29 ± 10.89] %; P = 0.005). There was no difference in D and D* between lung cancer and inflammatory lesions ( P = 0.747 and 0.124, respectively). f showed comparable diagnostic performance with ADC in differentiating lung cancer from inflammatory lung lesions, with areas under the curve of 0.833 and 0.826, sensitivity 80.0% and 73.3%, and specificity 75.0% and 87.5%, respectively. Conclusion The IVIM parameter f value provides comparable diagnostic performance with ADC and could be used as a surrogate marker for differentiating lung cancer from inflammatory lesions.
Collapse
Affiliation(s)
- Yu Deng
- Southern Medical University, Guangzhou, PR China
- Department of Radiology, Guangdong Academy of Medical Sciences, Guangdong General Hospital, Guangzhou, PR China
- Department of Radiology, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, PR China
| | - Xinchun Li
- Department of Radiology, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, PR China
| | - Yongxia Lei
- Department of Radiology, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, PR China
| | - Changhong Liang
- Department of Radiology, Guangdong Academy of Medical Sciences, Guangdong General Hospital, Guangzhou, PR China
| | - Zaiyi Liu
- Department of Radiology, Guangdong Academy of Medical Sciences, Guangdong General Hospital, Guangzhou, PR China
| |
Collapse
|
25
|
Tyagi N, Riaz N, Hunt M, Wengler K, Hatzoglou V, Young R, Mechalakos J, Lee N. Weekly response assessment of involved lymph nodes to radiotherapy using diffusion-weighted MRI in oropharynx squamous cell carcinoma. Med Phys 2016; 43:137. [PMID: 26745906 PMCID: PMC5360161 DOI: 10.1118/1.4937791] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/02/2023] Open
Abstract
Purpose: Patients with cancers of oropharynx have a favorable prognosis and are an
ideal candidate for adaptive therapy. A replan to improve coverage or
escalate/de-escalate dose based on morphological information alone may not be
adequate as the grossly involved lymph nodes (LNs) of a subset of these patients
tend to become cystic and often do not regress. Functional adaptation may be a
better approach when considering replanning for these patients. The purpose of
this study was to evaluate the weekly trends in treatment related
morphological and physiological changes for these LNs using diffusion-weighted
MRI
(DW-MRI) and evaluate its implications for adaptive replanning. Methods: Ten patients with histologically proven oropharynx HNSCC undergoing concurrent
chemoradiation were analyzed in this study. MR imaging protocol
included axial T1w, T2w, and DW-MRI using a 3 T Philips MR scanner. The patients
were scanned weekly in radiation treatment planning position using a 16 element
phased-array anterior coil and a 44 element posterior coil. A total of 65 DWI and
T2w scans were analyzed. DWI was performed using an optimized single-shot
echo planar imaging sequence (TR/TE = 5000/65 ms, slice thickness = 5 mm;
slices = 28; b values = 0 and 800 s/mm2).
Quantification of the DW-MRI images was performed by calculating the apparent
diffusion coefficient (ADC). T2w and DWI scans were imported
into the Eclipse treatment planning system and gross tumor volumes (GTVs)
corresponding to grossly involved LNs were contoured on each axial slice by
physician experts. An attempt was made to remove any cystic or necrotic components
so that the ADC analysis was of viable tumor only. A
pixel-by-pixel fit of signal intensities within the GTVs was performed assuming
monoexponential behavior. From each GTV histogram mean, median, standard
deviation, skewness, and kurtosis were calculated. Absolute and percent change in
weekly ADC histogram parameters and percent change in T2w GTV were also
calculated. Results: For all nodes, an immediate change in ADC was observed during first 2–3 weeks
after which ADC values either continued to increase or plateaued. A few nodal
volumes had a slightly decreased ADC value during later weeks. Percent increase in
median ADC from weeks 1 to 6 with respect to baseline was 14%, 25%, 41%, 42%, 45%,
and 58%. The corresponding change in median T2 volumes was 8%, 10%, 16%, 22%, 40%,
and 42%, respectively. The ADC distribution of the viable tumors was initially
highly kurtotic; however, the kurtosis decreased as treatment progressed.
The ADC distribution also showed a higher degree of skewness in the first 2 weeks,
progressively becoming less skewed as treatment progressed so as to slowly approach a
more symmetric distribution. Conclusions: Physiological changes in LNs represented by changes in ADC evaluated using DW-MRI
are evident sooner than the morphological changes calculated from T2w
MRI.
The decisions for adaptive replanning may need to be individualized and should be
based primarily on tumor functional information. The authors’ data also suggest
that for many patients, week 3 maybe the optimal time to intervene and replan.
Larger studies are needed to confirm their findings.
Collapse
Affiliation(s)
- Neelam Tyagi
- Department of Medical Physics, Memorial Sloan-Kettering Cancer Center, 1275 York Avenue, New York, New York 10065
| | - Nadeem Riaz
- Department of Radiation Oncology, Memorial Sloan-Kettering Cancer Center, 1275 York Avenue, New York, New York 10065
| | - Margie Hunt
- Department of Medical Physics, Memorial Sloan-Kettering Cancer Center, 1275 York Avenue, New York, New York 10065
| | - Kenneth Wengler
- Department of Medical Physics, Memorial Sloan-Kettering Cancer Center, 1275 York Avenue, New York, New York 10065
| | - Vaios Hatzoglou
- Department of Radiology, Memorial Sloan-Kettering Cancer Center, 1275 York Avenue, New York, New York 10065
| | - Robert Young
- Department of Radiology, Memorial Sloan-Kettering Cancer Center, 1275 York Avenue, New York, New York 10065
| | - James Mechalakos
- Department of Medical Physics, Memorial Sloan-Kettering Cancer Center, 1275 York Avenue, New York, New York 10065
| | - Nancy Lee
- Department of Radiation Oncology, Memorial Sloan-Kettering Cancer Center, 1275 York Avenue, New York, New York 10065
| |
Collapse
|
26
|
Jansen JFA, Parra C, Lu Y, Shukla-Dave A. Evaluation of Head and Neck Tumors with Functional MR Imaging. Magn Reson Imaging Clin N Am 2016; 24:123-133. [PMID: 26613878 DOI: 10.1016/j.mric.2015.08.011] [Citation(s) in RCA: 39] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
Abstract
Head and neck cancer is one of the most common cancers worldwide. MR imaging-based diffusion and perfusion techniques enable the noninvasive assessment of tumor biology and physiology, which supplement information obtained from standard structural scans. Diffusion and perfusion MR imaging techniques provide novel biomarkers that can aid monitoring in pretreatment, during treatment, and posttreatment stages to improve patient selection for therapeutic strategies; provide evidence for change of therapy regime; and evaluate treatment response. This review discusses pertinent aspects of the role of diffusion and perfusion MR imaging and computational analysis methods in studying head and neck cancer.
Collapse
Affiliation(s)
- Jacobus F A Jansen
- Department of Radiology, Maastricht University Medical Center, PO Box 5800, Maastricht 6202 AZ, The Netherlands.
| | - Carlos Parra
- Department of Medical Physics, Memorial Sloan-Kettering Cancer Center, 1275 York Avenue, New York, NY 10065, USA
| | - Yonggang Lu
- Department of Radiation Oncology, University of Washington, 4921 Parkview Pl, St Louis, MO 63110, USA
| | - Amita Shukla-Dave
- Department of Medical Physics, Memorial Sloan-Kettering Cancer Center, 1275 York Avenue, New York, NY 10065, USA; Department of Radiology, Memorial Sloan-Kettering Cancer Center, 1275 York Avenue, New York, NY 10065, USA
| |
Collapse
|
27
|
Yuan J, Lo G, King AD. Functional magnetic resonance imaging techniques and their development for radiation therapy planning and monitoring in the head and neck cancers. Quant Imaging Med Surg 2016; 6:430-448. [PMID: 27709079 PMCID: PMC5009093 DOI: 10.21037/qims.2016.06.11] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2016] [Accepted: 05/27/2016] [Indexed: 01/05/2023]
Abstract
Radiation therapy (RT), in particular intensity-modulated radiation therapy (IMRT), is becoming a more important nonsurgical treatment strategy in head and neck cancer (HNC). The further development of IMRT imposes more critical requirements on clinical imaging, and these requirements cannot be fully fulfilled by the existing radiotherapeutic imaging workhorse of X-ray based imaging methods. Magnetic resonance imaging (MRI) has increasingly gained more interests from radiation oncology community and holds great potential for RT applications, mainly due to its non-ionizing radiation nature and superior soft tissue image contrast. Beyond anatomical imaging, MRI provides a variety of functional imaging techniques to investigate the functionality and metabolism of living tissue. The major purpose of this paper is to give a concise and timely review of some advanced functional MRI techniques that may potentially benefit conformal, tailored and adaptive RT in the HNC. The basic principle of each functional MRI technique is briefly introduced and their use in RT of HNC is described. Limitation and future development of these functional MRI techniques for HNC radiotherapeutic applications are discussed. More rigorous studies are warranted to translate the hypotheses into credible evidences in order to establish the role of functional MRI in the clinical practice of head and neck radiation oncology.
Collapse
Affiliation(s)
- Jing Yuan
- Department of Medical Physics and Research, Hong Kong Sanatorium & Hospital, Happy Valley, Hong Kong SAR, China
| | - Gladys Lo
- Department of Diagnostic & Interventional Radiology, Hong Kong Sanatorium & Hospital, Happy Valley, Hong Kong SAR, China
| | - Ann D. King
- Department of Imaging and Interventional Radiology, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong SAR, China
| |
Collapse
|
28
|
Iima M, Le Bihan D. Clinical Intravoxel Incoherent Motion and Diffusion MR Imaging: Past, Present, and Future. Radiology 2016; 278:13-32. [PMID: 26690990 DOI: 10.1148/radiol.2015150244] [Citation(s) in RCA: 346] [Impact Index Per Article: 43.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
The concept of diffusion magnetic resonance (MR) imaging emerged in the mid-1980s, together with the first images of water diffusion in the human brain, as a way to probe tissue structure at a microscopic scale, although the images were acquired at a millimetric scale. Since then, diffusion MR imaging has become a pillar of modern clinical imaging. Diffusion MR imaging has mainly been used to investigate neurologic disorders. A dramatic application of diffusion MR imaging has been acute brain ischemia, providing patients with the opportunity to receive suitable treatment at a stage when brain tissue might still be salvageable, thus avoiding terrible handicaps. On the other hand, it was found that water diffusion is anisotropic in white matter, because axon membranes limit molecular movement perpendicularly to the nerve fibers. This feature can be exploited to produce stunning maps of the orientation in space of the white matter tracts and brain connections in just a few minutes. Diffusion MR imaging is now also rapidly expanding in oncology, for the detection of malignant lesions and metastases, as well as monitoring. Water diffusion is usually largely decreased in malignant tissues, and body diffusion MR imaging, which does not require any tracer injection, is rapidly becoming a modality of choice to detect, characterize, or even stage malignant lesions, especially for breast or prostate cancer. After a brief summary of the key methodological concepts beyond diffusion MR imaging, this article will give a review of the clinical literature, mainly focusing on current outstanding issues, followed by some innovative proposals for future improvements.
Collapse
Affiliation(s)
- Mami Iima
- From the Department of Diagnostic Imaging and Nuclear Medicine (M.I.) and the Human Brain Research Center (D.L.B.), Kyoto University Graduate School of Medicine, and the Hakubi Center for Advanced Research (M.I.), Kyoto University, Kyoto, Japan; and NeuroSpin, CEA/DSV/I2BM, Bât 145, Point Courrier 156, CEA-Saclay Center, F-91191 Gif-sur-Yvette, France (D.L.B.)
| | - Denis Le Bihan
- From the Department of Diagnostic Imaging and Nuclear Medicine (M.I.) and the Human Brain Research Center (D.L.B.), Kyoto University Graduate School of Medicine, and the Hakubi Center for Advanced Research (M.I.), Kyoto University, Kyoto, Japan; and NeuroSpin, CEA/DSV/I2BM, Bât 145, Point Courrier 156, CEA-Saclay Center, F-91191 Gif-sur-Yvette, France (D.L.B.)
| |
Collapse
|
29
|
Yu XP, Wen L, Hou J, Bi F, Hu P, Wang H, Wang W. Discrimination between Metastatic and Nonmetastatic Mesorectal Lymph Nodes in Rectal Cancer Using Intravoxel Incoherent Motion Diffusion-weighted Magnetic Resonance Imaging. Acad Radiol 2016; 23:479-85. [PMID: 26853971 DOI: 10.1016/j.acra.2015.12.013] [Citation(s) in RCA: 35] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2015] [Revised: 12/17/2015] [Accepted: 12/17/2015] [Indexed: 02/07/2023]
Abstract
RATIONALE AND OBJECTIVES The aim of the study was to investigate the diagnostic value of intravoxel incoherent motion diffusion-weighted magnetic resonance imaging (IVIM DWI) for discriminating nonmetastatic from metastatic mesorectal lymph nodes in rectal cancer. MATERIALS AND METHODS IVIM DWI was performed preoperatively on 50 patients with rectal carcinoma. The short-axis diameter, short- to long-axis diameter ratio, and IVIM-based parameter (pure diffusion coefficient [D], pseudo-diffusion coefficient [D*] and perfusion fraction [f]) values were compared between the metastatic and nonmetastatic lymph node groups. RESULTS The short-axis diameter; short- to long-axis diameter ratio; and D, D*, and f values for the nonmetastatic lymph node group (n = 28) were 6.446 ± 1.201 mm, 0.815 ± 0.099, 1.071 ± 0.234 × 10(-3) mm(2)/s, 15.443 ± 5.946 mm(2)/s and 0.261 ± 0.128, respectively, and were 9.045 ± 3.185 mm, 0.809 ± 0.099, 0.816 ± 0.121 × 10(-3) mm(2)/s, 11.679 ± 7.521 × 10(-3) mm(2)/s, and 0.190 ± 0.064, respectively, for the metastatic lymph node group (n = 31). The short-axis diameter for the metastatic group was significantly higher than for the nonmetastatic group (P <0.001). The metastatic group exhibited significantly lower D and D* values than the nonmetastatic group (P <0.01). The short- to long-axis diameter ratio and f values did not differ significantly between the two groups. Optimal cutoff values (area under the curve, sensitivity, and specificity) for distinguishing metastatic from nonmetastatic lymph nodes were as follows: short-axis diameter = 5.563 mm (0.783, 74.2%, 82.1%); D = 0.667 × 10(-3) mm(2)/s (0.885, 77.4%, 89.3%); and D* = 0.485 × 10(-3) mm(2)/s (0.727, 80.6%, 67.9%). CONCLUSION IVIM DWI is useful to differentiate between metastatic and nonmetastatic mesorectal lymph nodes in rectal cancer.
Collapse
Affiliation(s)
- Xiao-ping Yu
- Department of Radiology, The Third Xiangya Hospital, Central South University, 138 Tongzipo Road, Yuelu District, Changsha, 410013, Hunan, China; Department of Diagnostic Radiology, The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, Hunan, China; Hunan Provincial Key Laboratory of Translational Radiation Oncology, Hunan Cancer Hospital, Changsha, Hunan, China
| | - Lu Wen
- Department of Diagnostic Radiology, The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, Hunan, China
| | - Jing Hou
- Department of Diagnostic Radiology, The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, Hunan, China
| | - Feng Bi
- Department of Diagnostic Radiology, The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, Hunan, China
| | - Pingsheng Hu
- Department of Diagnostic Radiology, The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, Hunan, China
| | - Hui Wang
- Hunan Provincial Key Laboratory of Translational Radiation Oncology, Hunan Cancer Hospital, Changsha, Hunan, China
| | - Wei Wang
- Department of Radiology, The Third Xiangya Hospital, Central South University, 138 Tongzipo Road, Yuelu District, Changsha, 410013, Hunan, China.
| |
Collapse
|
30
|
Qiu L, Liu XL, Liu SR, Weng ZP, Chen XQ, Feng YZ, Cai XR, Guo CY. Role of quantitative intravoxel incoherent motion parameters in the preoperative diagnosis of nodal metastasis in patients with rectal carcinoma. J Magn Reson Imaging 2016; 44:1031-9. [PMID: 27019309 DOI: 10.1002/jmri.25250] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2015] [Accepted: 03/08/2016] [Indexed: 12/25/2022] Open
Abstract
PURPOSE To evaluate the diagnostic value of intravoxel incoherent motion imaging (IVIM) in differentiating metastatic and nonmetastatic lymph nodes in patients with rectal carcinoma. MATERIALS AND METHODS In all, 68 patients with histologically proven rectal carcinoma underwent an IVIM sequence (b = 0, 25, 50, 75, 100, 150, 200, 400, 600, 800, 1000, 1200, 1500, and 2000 s/mm(2) ) on a 3.0T MRI scanner. The IVIM parameters (D, D*, f, and apparent diffusion coefficient [ADC] values) in metastatic and nonmetastatic lymph nodes were measured and calculated. Receiver-operating characteristic (ROC) analyses were conducted to determine the optimal thresholds, the sensitivities, and specificities for differentiation. RESULTS Mean D, f, and ADC values of metastatic lymph nodes were significantly greater than those of the normal lymph nodes (P < 0.01), whereas the mean D* value of metastatic lymph node was statistically lower (P = 0.03). The AUC, sensitivity, specificity, and the cutoff value, respectively, for differentiating metastatic from nonmetastatic lymph nodes for D, D*, f, and ADC were as follows: D, 0.9460, 89.25%, 91.04%, and 1.14 × 10(-3) mm(2) /s; D*, 0.6930, 64.18%, 82.80%, and 7.02 × 10(-3) mm(2) /s; f, 0.7810, 92.47%, 55.22%, and 0.27%; ADC, 0.8970, 87.10%, 88.06%, and 0.80 × 10(-3) mm(2) /s. The ROC curves demonstrated that the area under the ROC (AUC) of the D, ADC, f, and D* values successively decreased, and D had the highest AUC, with D* values being lowest. CONCLUSION An IVIM sequence may be helpful in diagnosing metastatic lymph nodes of rectal carcinoma. Average D and ADC values are more sensitive than f and D* values in this differentiation. J. MAGN. RESON. IMAGING 2016;44:1031-1039.
Collapse
Affiliation(s)
- Lin Qiu
- Medical Imaging Center, First Affiliated Hospital, Jinan University, Guangzhou, Guangdong, China
| | - Xiao-Ling Liu
- Medical Imaging Center, First Affiliated Hospital, Jinan University, Guangzhou, Guangdong, China
| | - Si-Run Liu
- Medical Imaging Center, First Affiliated Hospital, Jinan University, Guangzhou, Guangdong, China
| | - Ze-Ping Weng
- Department of Pathology, First Affiliated Hospital, Jinan University, Guangzhou, Guangdong, China
| | - Xiao-Qiao Chen
- Medical Imaging Center, First Affiliated Hospital, Jinan University, Guangzhou, Guangdong, China
| | - You-Zhen Feng
- Medical Imaging Center, First Affiliated Hospital, Jinan University, Guangzhou, Guangdong, China
| | - Xiang-Ran Cai
- Medical Imaging Center, First Affiliated Hospital, Jinan University, Guangzhou, Guangdong, China.
| | - Chang-Yu Guo
- Serviço de Imagiologia, Centro Hospitalar Conde de São Januário (CHCSJ), Estrada do Visconde de S. Januário, Macau.
| |
Collapse
|
31
|
Guo W, Luo D, Lin M, Wu B, Li L, Zhao Y, Yang L, Zhou C. Pretreatment Intra-Voxel Incoherent Motion Diffusion-Weighted Imaging (IVIM-DWI) in Predicting Induction Chemotherapy Response in Locally Advanced Hypopharyngeal Carcinoma. Medicine (Baltimore) 2016; 95:e3039. [PMID: 26962824 PMCID: PMC4998905 DOI: 10.1097/md.0000000000003039] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/15/2023] Open
Abstract
The aim of this study was to predict response to induction chemotherapy in patients with locally advanced hypopharyngeal carcinoma by IVIM values.Twenty-eight patients with locally advanced hypopharyngeal carcinoma underwent IVIM studies using 12 different b values (b = 0, 10, 20, 30, 50, 70 100, 150, 200, 400, 800, and 1000 s/ mm). All patients underwent 2 MRI studies: a baseline exam before any treatment and a mid-treatment exam 3 weeks after induction chemotherapy. In the IVIM approach, D, f, and D were extracted from a bi-exponential fit. For comparison, the ADC map were extracted from a mono-exponential fit. At the end of induction chemotherapy, patients were classified as responders or nonresponders group according to the Response Evaluation Criteria in Solid Tumors criteria (RECIST), based on their MRI measurement. The patients were classified into high grade group (G1), moderate grade group (G2), and low grade group (G3) according to the tumor pathological grading. The predictive value of IVIM parameters were examined with Student's t test, analysis of variance (ANOVA), and receiver operating characteristic (ROC) curves.After 2 cycles of induction chemotherapy, 18 patients were categorized into the responder group whereas the other 10 patients were considered nonresponders. Compared with the pretreatment value, the post-treatment ADC value and D value was significantly higher and the posttreatment D value was significantly lower (all P < 0.05). In contrast, post-treatment f parameter only changed slightly (P > 0.05). Compared with nonresponders, a notably lower pretreatment ADC value, D value, posttreatment D value, and higher posttreatment ADC value, D value, ΔADC, ΔD, and ΔD were observed in responders (all P < 0.05), but no significant change in Δ f among the 2 group (P > 0.05). The ROC curve analysis indicated that the cutoff of pretreatment D value in best predicting tumor's chemotherapeutic response was 0.847 × 10 mm/s, and the corresponding AUC, sensitivity, and specificity were 0.806, 75.0%, and 88.9%, respectively. Although pretreatment IVIM-derived parameters had no significant differences between high grade, moderate grade, and low grade group, a trend towards lower D was observed with increasing tumor grading from G3 to G1.IVIM-DWI can potentially predict the treatment response to induction chemotherapy for hypopharyngeal carcinoma.
Collapse
Affiliation(s)
- Wei Guo
- From the Department of Diagnostic Radiology, Peking Union Medical College, Cancer Institute & Hospital, Chinese Academy of Medical Sciences, Beijing, P.R. China
| | | | | | | | | | | | | | | |
Collapse
|
32
|
Intravoxel incoherent motion diffusion-weighted imaging in differentiating uterine fibroid from focal adenomyosis: initial results. SPRINGERPLUS 2016; 5:9. [PMID: 26759748 PMCID: PMC4700030 DOI: 10.1186/s40064-015-1635-x] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/08/2015] [Accepted: 12/17/2015] [Indexed: 12/14/2022]
Abstract
To evaluate the performance of intravoxel incoherent motion (IVIM)-diffusion-weighted imaging (DWI) in differentiating uterine fibroids from focal adenomyosises. Twenty-five uterine fibroids and 21 focal adenomyosises prospectively underwent IVIM-DWI examination prior to surgery. Four parameters including apparent diffusion coefficient total values (ADCtot), true diffusion coefficient (D), pseudodiffusion coefficient (D*) and perfusion fraction (f) derived from IVIM-DWI images were separately calculated and compared across four groups. There was a statistically significant difference in IVIM-derived f parameter between fibroid and focal adenomyosis (p = 0.01) and control group (p = 0.02). Uterine fibroids gave higher coefficient of variation (CV) of all IVIM-derived parameters than focal adenomyosises. IVIM-DWI could improve the sensitivity and specificity of detecting focal adenomyosis to 100 and 92.6 %, respectively. IVIM-f parameter could be potentially used to better distinguish uterine fibroid from focal adenomyosis. The higher CV of IVIM-derived parameters with acceptable range is often observed in the diseased group.
Collapse
|
33
|
Ding Y, Hazle JD, Mohamed ASR, Frank SJ, Hobbs BP, Colen RR, Gunn GB, Wang J, Kalpathy-Cramer J, Garden AS, Lai SY, Rosenthal DI, Fuller CD. Intravoxel incoherent motion imaging kinetics during chemoradiotherapy for human papillomavirus-associated squamous cell carcinoma of the oropharynx: preliminary results from a prospective pilot study. NMR IN BIOMEDICINE 2015; 28:1645-54. [PMID: 26451969 PMCID: PMC4715635 DOI: 10.1002/nbm.3412] [Citation(s) in RCA: 46] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/12/2015] [Revised: 08/24/2015] [Accepted: 08/25/2015] [Indexed: 05/02/2023]
Abstract
This study aims to identify the temporal kinetics of intravoxel incoherent motion (IVIM) MRI in patients with human papillomavirus-associated (HPV+) oropharyngeal squamous cell carcinoma. Patients were enrolled under an Institutional Review Board (IRB)-approved protocol as part of an ongoing prospective clinical trial. All patients underwent two MRI studies: a baseline scan before chemoradiotherapy and a mid-treatment scan 3-4 weeks after treatment initiation. Parametric maps representing pure diffusion coefficient (D), pseudo-diffusion coefficient (D*), perfusion fraction (f) and apparent diffusion coefficient (ADC) were generated. The Mann-Whitney U-test was used to assess the temporal variation of IVIM metrics. Bayesian quadratic discriminant analysis (QDA) was used to evaluate the extent to which mid-treatment changes in IVIM metrics could be combined to predict sites that would achieve complete response (CR) in multivariate analysis. Thirty-one patients were included in the final analysis with 59 lesions. Pretreatment ADC and D values of the CR lesions (n = 19) were significantly lower than those of non-CR lesions (n = 33). Mid-treatment ADC, D and f values were significantly higher (p < 0.0001) than pretreatment values for all lesions. Each increase in normalized ΔADC of size 0.1 yielded a 1.45-fold increase in the odds of CR (p < 0.0003), each increase in normalized ΔD of size 0.1 yielded a 1.53-fold increase in the odds of CR (p < 0.0002), and each unit increase in Δf yielded a 2.29-fold increase in the odds of CR (p < 0.02). Combined ΔD and ΔADC were integrated into a multivariate prediction model and attained an AUC of 0.87 (95% confidence interval: 0.79, 0.96), as well as a sensitivity of 0.63, specificity of 0.85 and accuracy of 0.78, under leave-one-out cross-validation. In conclusion, IVIM is feasible and potentially useful in the prediction and assessment of the early response of HPV+ oropharyngeal squamous cell carcinoma to chemoradiotherapy.
Collapse
Affiliation(s)
- Yao Ding
- Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
- Department of Imaging physics, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - John D. Hazle
- Department of Imaging physics, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Abdallah S. R. Mohamed
- Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
- Department of Clinical Oncology and Nuclear Medicine, Faculty of Medicine, University of Alexandria, Alexandria, Egypt
| | - Steven J. Frank
- Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Brian P. Hobbs
- Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Rivka R. Colen
- Department of Radiology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - G. Brandon Gunn
- Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Jihong Wang
- Department of Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Jayashree Kalpathy-Cramer
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital/Division of Health Sciences & Technology, Massachusetts Institute of Technology, Charlestown, MA, USA
| | - Adam S. Garden
- Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Stephen Y. Lai
- Department of Head and Neck Surgery, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - David I. Rosenthal
- Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Clifton D. Fuller
- Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
- The University of Texas Graduate School of Biomedical Sciences, Houston, TX, USA
| |
Collapse
|
34
|
Xiao-ping Y, Jing H, Fei-ping L, Yin H, Qiang L, Lanlan W, Wei W. Intravoxel incoherent motion MRI for predicting early response to induction chemotherapy and chemoradiotherapy in patients with nasopharyngeal carcinoma. J Magn Reson Imaging 2015; 43:1179-90. [PMID: 26540374 DOI: 10.1002/jmri.25075] [Citation(s) in RCA: 61] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2015] [Accepted: 09/29/2015] [Indexed: 01/15/2023] Open
Abstract
BACKGROUND To investigate the value of intravoxel incoherent motion (IVIM) diffusion-weighted magnetic resonance imaging (DW-MRI) in predicting the early response to induction chemotherapy (IC) and chemoradiotherapy (CRT) in nasopharyngeal carcinoma (NPC). METHODS Fifty NPC patients who received IC and CRT underwent an IVIM DW-MRI on a 1.5-Tesla MRI scanner. The pretreatment and posttreatment (20 days after IC initiation) IVIM-based parameters (ADC, D, D*, and f), and their percentage changes (△%), were compared between the effective (complete response or partial response) and ineffective (stable disease) groups based on RECIST 1.1, and between the residual and nonresidual groups. RESULTS None of the perfusion-related parameter' values showed significant differences between the effective and ineffective groups (p values for pref, postf, △%f, preD*, postD*, and △%D* were 0.364, 0.129, 0.792, 0.804, 0.167, and 0.428, respectively), or between the residual and nonresidual groups (P values for pref, postf, △%f, preD*, postD*, and △%D* were 0.328, 0.776, 0.546, 0.558, 0.214, and 0.414, respectively). The ineffective group exhibited higher preADC, higher preD and lower △%D values than the effective group (all P < 0.001). The nonresidual group had lower preD, lower preADC and higher △%D values (all P < 0.05) than the residual group. △%D had the highest area under curve (0.859) in predicting the response to IC, whereas preD had the highest area under curve (0.841) in predicting tumor residue after CRT. CONCLUSION Diffusion-related IVIM-based parameters might be more helpful than perfusion-related parameters in predicting the early effects of IC and CRT for NPC.
Collapse
Affiliation(s)
- Yu Xiao-ping
- Department of Radiology, the third Xiangya Hospital, Central South University, Changsha, Hunan, China.,Department of Diagnostic Radiology, the Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, Hunan, China
| | - Hou Jing
- Department of Diagnostic Radiology, the Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, Hunan, China
| | - Li Fei-ping
- Department of Diagnostic Radiology, the Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, Hunan, China
| | - Hu Yin
- Department of Radiotherapy, the Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, Hunan, China
| | - Lu Qiang
- Department of Diagnostic Radiology, the Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, Hunan, China
| | - Wang Lanlan
- Department of Diagnostic Radiology, the Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, Hunan, China
| | - Wang Wei
- Department of Radiology, the third Xiangya Hospital, Central South University, Changsha, Hunan, China
| |
Collapse
|
35
|
Comparison of Intravoxel Incoherent Motion Diffusion-Weighted MR Imaging and Arterial Spin Labeling MR Imaging in Gliomas. BIOMED RESEARCH INTERNATIONAL 2015; 2015:234245. [PMID: 25945328 PMCID: PMC4402183 DOI: 10.1155/2015/234245] [Citation(s) in RCA: 37] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/23/2014] [Revised: 03/14/2015] [Accepted: 03/21/2015] [Indexed: 11/18/2022]
Abstract
Gliomas grading is important for treatment plan; we aimed to investigate the application of intravoxel incoherent motion (IVIM) diffusion-weighted imaging (DWI) in gliomas grading, by comparing with the three-dimensional pseudocontinuous arterial spin labeling (3D pCASL). 24 patients (13 high grade gliomas and 11 low grade gliomas) underwent IVIM DWI and 3D pCASL imaging before operation; maps of fast diffusion coefficient (D∗), slow diffusion coefficient (D), fractional perfusion-related volume (f), and apparent diffusion coefficient (ADC) as well as cerebral blood flow (CBF) were calculated and then coregistered to generate the corresponding parameter values. We found CBF and D∗ were higher in the high grade gliomas, whereas ADC, D, and f were lower (all P < 0.05). In differentiating the high from low grade gliomas, the maximum areas under the curves (AUC) of D∗, CBF, and ADC were 0.857, 0.85, and 0.902, respectively. CBF was negatively correlated with f in tumor (r = −0.619, P = 0.001). ADC was positively correlated with D in both tumor and white matter (r = 0.887, P = 0.000 and r = 0.824, P = 0.000, resp.). There was no correlation between CBF and D∗ in both tumor and white matter (P > 0.05). IVIM DWI showed more efficiency than 3D pCASL but less validity than conventional DWI in differentiating the high from low grade gliomas.
Collapse
|
36
|
Bernstein JM, Kershaw LE, Withey SB, Lowe NM, Homer JJ, Slevin NJ, Bonington SC, Carrington BM, West CM. Tumor plasma flow determined by dynamic contrast-enhanced MRI predicts response to induction chemotherapy in head and neck cancer. Oral Oncol 2015; 51:508-13. [PMID: 25700703 DOI: 10.1016/j.oraloncology.2015.01.013] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2014] [Revised: 01/19/2015] [Accepted: 01/24/2015] [Indexed: 01/09/2023]
Abstract
OBJECTIVES Non-response to induction chemotherapy (IC) occurs in 30% of head and neck squamous cell carcinoma (HNSCC) and has been predicted by tumor plasma flow (Fp) derived by perfusion computed tomography. The present study was designed to test whether baseline tumor Fp determined by dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) would predict IC response. MATERIALS AND METHODS A prospective open study powered to test the relationship between tumor Fp and response to IC (docetaxel, cisplatin, 5-fluorouracil) enrolled 50 patients with stage IV HNSCC. Response after two IC cycles was measured by MRI using Response Evaluation Criteria in Solid Tumors in 37 patients. Tumor Fp (primary end point) and multiple parameters in tumors and lymph nodes (secondary end points) were generated at baseline. Differences in baseline DCE-MRI parameters according to IC response were assessed by the Mann-Whitney U test, and predictive value by receiver operating characteristic (ROC) analysis. RESULTS Median baseline tumor Fp was 53.2ml/100ml/min in 25 responders and 23.9 in 12 non-responders (U 82; P=0.027; area under ROC curve (AUC) 0.73). Median baseline Fp in lymph nodes was 25.8ml/100ml/min for 37 nodes in 25 responders and 17.1 for 15 nodes in 12 non-responders (U 186, P=0.066; AUC 0.67). Frequency of IC response in 37 patients was 68% overall, 83% for tumor Fp above the median (40.6ml/100ml/min) and 45% below the median. Other DCE-MRI parameters were not associated with IC response. CONCLUSION Pre-treatment tumor Fp determined by DCE-MRI predicts IC response in HNSCC.
Collapse
Affiliation(s)
- Jonathan M Bernstein
- University Department of Otolaryngology - Head & Neck Surgery, Manchester Academic Health Science Centre, University of Manchester, Manchester Royal Infirmary, Central Manchester University Hospitals NHS Foundation Trust, Oxford Road, Manchester M13 9WL, UK; Translational Radiobiology Group, Institute of Cancer Sciences, Manchester Academic Health Science Centre, University of Manchester, The Christie NHS Foundation Trust, Wilmslow Road, Manchester M20 4BX, UK.
| | - Lucy E Kershaw
- Christie Medical Physics and Engineering, The Christie NHS Foundation Trust, Wilmslow Road, Manchester M20 4BX, UK
| | - Stephanie B Withey
- Christie Medical Physics and Engineering, The Christie NHS Foundation Trust, Wilmslow Road, Manchester M20 4BX, UK
| | - Natalie M Lowe
- Translational Radiobiology Group, Institute of Cancer Sciences, Manchester Academic Health Science Centre, University of Manchester, The Christie NHS Foundation Trust, Wilmslow Road, Manchester M20 4BX, UK
| | - Jarrod J Homer
- University Department of Otolaryngology - Head & Neck Surgery, Manchester Academic Health Science Centre, University of Manchester, Manchester Royal Infirmary, Central Manchester University Hospitals NHS Foundation Trust, Oxford Road, Manchester M13 9WL, UK; Translational Radiobiology Group, Institute of Cancer Sciences, Manchester Academic Health Science Centre, University of Manchester, The Christie NHS Foundation Trust, Wilmslow Road, Manchester M20 4BX, UK
| | - Nicholas J Slevin
- Translational Radiobiology Group, Institute of Cancer Sciences, Manchester Academic Health Science Centre, University of Manchester, The Christie NHS Foundation Trust, Wilmslow Road, Manchester M20 4BX, UK
| | - Suzanne C Bonington
- Department of Radiology, The Christie NHS Foundation Trust, Wilmslow Road, Manchester M20 4BX, UK
| | - Bernadette M Carrington
- Department of Radiology, The Christie NHS Foundation Trust, Wilmslow Road, Manchester M20 4BX, UK
| | - Catharine M West
- Translational Radiobiology Group, Institute of Cancer Sciences, Manchester Academic Health Science Centre, University of Manchester, The Christie NHS Foundation Trust, Wilmslow Road, Manchester M20 4BX, UK
| |
Collapse
|
37
|
Suo S, Lin N, Wang H, Zhang L, Wang R, Zhang S, Hua J, Xu J. Intravoxel incoherent motion diffusion-weighted MR imaging of breast cancer at 3.0 tesla: Comparison of different curve-fitting methods. J Magn Reson Imaging 2014; 42:362-70. [PMID: 25407944 DOI: 10.1002/jmri.24799] [Citation(s) in RCA: 72] [Impact Index Per Article: 7.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2014] [Accepted: 10/24/2014] [Indexed: 11/09/2022] Open
Affiliation(s)
- Shiteng Suo
- Department of Radiology; Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University; Shanghai China
| | - Naier Lin
- Department of Radiology; Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University; Shanghai China
| | - He Wang
- Philips Research China; Shanghai China
| | - Liangbin Zhang
- School of Biomedical Engineering, Shanghai Jiao Tong University; Shanghai China
| | - Rui Wang
- School of Biomedical Engineering, Shanghai Jiao Tong University; Shanghai China
| | - Su Zhang
- School of Biomedical Engineering, Shanghai Jiao Tong University; Shanghai China
| | - Jia Hua
- Department of Radiology; Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University; Shanghai China
| | - Jianrong Xu
- Department of Radiology; Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University; Shanghai China
| |
Collapse
|
38
|
Bernstein JM, Homer JJ, West CM. Dynamic contrast-enhanced magnetic resonance imaging biomarkers in head and neck cancer: Potential to guide treatment? A systematic review. Oral Oncol 2014; 50:963-70. [PMID: 25116700 DOI: 10.1016/j.oraloncology.2014.07.011] [Citation(s) in RCA: 65] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2014] [Accepted: 07/22/2014] [Indexed: 11/16/2022]
Affiliation(s)
- Jonathan M Bernstein
- University Department of Otolaryngology - Head & Neck Surgery, Manchester Royal Infirmary, Manchester Academic Health Science Centre, Central Manchester University Hospitals NHS Foundation Trust, Oxford Road, Manchester M13 9WL, UK; (b)Translational Radiobiology Group, Institute of Cancer Sciences, Manchester Academic Health Science Centre, University of Manchester, Wilmslow Road, Withington, Manchester M20 4BX, UK.
| | - Jarrod J Homer
- University Department of Otolaryngology - Head & Neck Surgery, Manchester Royal Infirmary, Manchester Academic Health Science Centre, Central Manchester University Hospitals NHS Foundation Trust, Oxford Road, Manchester M13 9WL, UK.
| | - Catharine M West
- Translational Radiobiology Group, Institute of Cancer Sciences, Manchester Academic Health Science Centre, University of Manchester, Wilmslow Road, Withington, Manchester M20 4BX, UK.
| |
Collapse
|
39
|
Wang LL, Lin J, Liu K, Chen CZ, Liu H, Lv P, Fu CX, Zeng MS. Intravoxel incoherent motion diffusion-weighted MR imaging in differentiation of lung cancer from obstructive lung consolidation: comparison and correlation with pharmacokinetic analysis from dynamic contrast-enhanced MR imaging. Eur Radiol 2014; 24:1914-22. [DOI: 10.1007/s00330-014-3176-z] [Citation(s) in RCA: 61] [Impact Index Per Article: 6.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2013] [Revised: 03/24/2014] [Accepted: 04/03/2014] [Indexed: 12/28/2022]
|