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Munk NE, Bondeven P, Pedersen BG. Diagnostic performance of MRI and endoscopy for assessing complete response in rectal cancer after neoadjuvant chemoradiotherapy: a systematic review of the literature. Acta Radiol 2021; 64:20-31. [PMID: 34928715 DOI: 10.1177/02841851211065925] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
BACKGROUND The diagnostic performance of magnetic resonance imaging (MRI) modalities and/or endoscopy for assessing complete response in rectal cancer after neoadjuvant chemoradiotherapy (nCRT) is unclear. PURPOSE To summarize existing evidence on the diagnostic performance of diffusion-weighted MRI, perfusion-weighted MRI, T2-weighted MR tumor regression grade, and/or endoscopy for assessing complete tumor response after nCRT. MATERIAL AND METHODS MEDLINE and Embase databases were searched. The PRISMA guidelines were followed. Sensitivity, specificity, negative predictive, and positive predictive values were retrieved from included studies. RESULTS In total, 81 studies were eligible for inclusion. Evidence suggests that combined use of MRI and endoscopy tends to improve the diagnostic performance compared to single imaging modality. The positive predictive value of a complete response varies substantially between studies. There is considerable heterogeneity between studies. CONCLUSION Combined re-staging tends to improve diagnostic performance compared to single imaging modality, but the vast majority of studies fail to offer true clinical value due to the study heterogeneity.
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Affiliation(s)
| | - Peter Bondeven
- Department of Surgery, Regional Hospital Randers, Randers, Denmark
| | - Bodil Ginnerup Pedersen
- Department of Radiology, Aarhus University Hospital, Aarhus N, Denmark
- Department of Clinical Medicine, Aarhus University, Aarhus N, Denmark
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Application of Field-of-View Optimized and Constrained Undistorted Single Shot (FOCUS) with Intravoxel Incoherent Motion (IVIM) in 3T in Locally Advanced Rectal Cancer. DISEASE MARKERS 2021; 2021:5565902. [PMID: 33936322 PMCID: PMC8055408 DOI: 10.1155/2021/5565902] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/06/2021] [Revised: 02/26/2021] [Accepted: 03/11/2021] [Indexed: 01/05/2023]
Abstract
Purpose To evaluate the efficacy of field-of-view (FOV) optimized and constrained undistorted single shot (FOCUS) with IVIM in 3T MRI in the grading of patients with locally advanced rectal cancer. Methods From January 1st to December 31st, 2019, patients with locally advanced rectal cancer were retrieved. FOCUS DWI and FOCUS IVIM were obtained. Apparent diffusion coefficient (ADC) and IVIM parameters including mean true diffusion coefficient (D), pseudodiffusion coefficient associated with blood flow (D∗), and perfusion fraction (f) of the tumor parenchyma and normal rectal wall, as well as the normalized tumor parameters by corresponding normal intestinal wall parameters (ADCNOR, DNOR, D∗NOR, and fNOR), were compared between the well/moderately differentiated and poorly differentiated groups by Student's t-test. The relationship between the above parameters and the histologic grade was analyzed using Spearman's correlation test, with the ROC curve generated. Results Eighty-eight patients (aged 31 to 77 years old, mean = 56) were included for analysis. Dtumor and ftumor were positively correlated with the tumor grade (r = 0.483, p < 0.001 and r = 0.610, p < 0.001, respectively). All the normalized parameters (ADCNOR, DNOR, D∗NOR, and fNOR) were positively correlated with the tumor grade (r = 0.267, p = 0.007; r = 0.564, p = 0.001; r = 0.414, p = 0.005; and r = 0.605, p < 0.001, respectively). The best discriminative parameter was the ftumor value, and the area under the ROC curve was 0.927. With a cut-off value of 22.0%, ftumor had a sensitivity of 88.9% and a specificity of 100%. Conclusion FOCUS IVIM-derived parameters and normalized parameters are useful for predicting the histologic grade in rectal cancer patients.
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Wang C, Dong H. Ki-67 labeling index and the grading of cerebral gliomas by using intravoxel incoherent motion diffusion-weighted imaging and three-dimensional arterial spin labeling magnetic resonance imaging. Acta Radiol 2020; 61:1057-1063. [PMID: 31830431 DOI: 10.1177/0284185119891694] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
BACKGROUND Intravoxel incoherent motion diffusion-weighted imaging (IVIM-DWI) and three-dimensional arterial spin labeling (3D-ASL) have been applied to brain tumors; however, the relationship between their parameters and the Ki-67 labeling index (Ki-67 LI) for the grading of gliomas have yet to be investigated. PURPOSE The aim of this study is to compare multiple parameters obtained from IVIM-DWI and 3D-ASL with the Ki-67 LI when grading gliomas. MATERIAL AND METHODS Fifty-two patients with pathologically confirmed gliomas had undergone magnetic resonance imaging (MRI), including IVIM-DWI and 3D-ASL imaging. Mann-Whitney U tests were conducted and receiver operating characteristic (ROC) curves were generated to determine parameters for distinguishing high-grade gliomas (HGGs) from low-grade gliomas (LGGs). These parameters included the apparent diffusion coefficient (ADC), true diffusivity (D), pseudo diffusivity (D*), perfusion fraction (f), cerebral blood flow (CBF), and their relative values (rADC, rD, rD*, rf, and rCBF). Spearman correlation analysis was used to assess the correlations of the parameters of MRI with the Ki-67 LI. RESULTS The rADC, rD, and rf were significantly lower in HGGs than in LGGs (P < 0.005 for all). The rD had a significantly greater area under the ROC curve than that of the other parameters in the differentiation of HGGs from LGGs (P < 0.05). Both the rD and rf were moderately negatively correlated with the Ki-67 LI. CONCLUSION Both the rD and rf can be used for the quantitative prediction of the Ki-67 LI. Among the extracted parameters, the rD had the significantly greatest diagnostic efficacy.
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Affiliation(s)
- Chaochao Wang
- Department of Radiology, Lihuili Hospital of Ningbo Medical Center, Ningbo, Zhejiang, PR China
| | - Haibo Dong
- Department of Radiology, Lihuili Hospital of Ningbo Medical Center, Ningbo, Zhejiang, PR China
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Yang X, Xiao X, Lu B, Chen Y, Wen Z, Yu S. Perfusion-sensitive parameters of intravoxel incoherent motion MRI in rectal cancer: evaluation of reproducibility and correlation with dynamic contrast-enhanced MRI. Acta Radiol 2019; 60:569-577. [PMID: 30114928 DOI: 10.1177/0284185118791201] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
BACKGROUND Intravoxel incoherent motion magnetic resonance imaging (IVIM-MRI) acquires tumor perfusion information without injection of contrast medium, which is promising in tumor assessment. However, its consistency with dynamic contrast-enhanced MRI (DCE-MRI), a more widely used method for tumor perfusion evaluation, is not revealed in rectal cancer. PURPOSE In this study, we aimed to investigate the correlation of perfusion-sensitive parameters derived from IVIM-MRI with DCE-MRI and measurement reproducibility of IVIM-MRI parameters in rectal cancer. MATERIAL AND METHODS Forty-seven rectal cancer patients underwent IVIM-MRI with 16 b-values and DCE-MRI. The perfusion fraction ( f), pseudo-diffusion coefficient ( D*), and f· D* were measured by two radiologists independently and correlated with the transfer constant ( Ktrans), reflux constant ( kep), and extravascular extracellular fractional volume ( ve) obtained from DCE-MRI. RESULTS Pearson's correlation analyses of IVIM-MRI and DCE-MRI parameters showed fair to moderate correlation between f and Ktrans ( r = 0.461, P = 0.001), followed by f and kep ( r = 0.430, P = 0.003), f·D*, and Ktrans ( r = 0.425, P = 0.003), f·D*, and kep ( r = 0.384, P = 0.008). There was no significant correlation between ve and f, ve and D*, ve and f· D*, D* and Ktrans, and D* and kep. The reproducibility of IVIM-MRI measurements was moderate. For parameter f, intraclass correlation coefficient (ICC) = 0.71 (0.53-0.82), coefficient of variation (CV) = 13.05 ± 0.02%, limit of agreement (LoA) = -0.05-0.04; for parameter D*, ICC = 0.55 (0.32-0.72), CV = 20.28 ± 3.23%, LoA = -9.6-8.4. CONCLUSION Perfusion-sensitive parameters derived from IVIM-MRI correlated fairly to moderately with DCE-MRI in rectal cancer patients and showed moderate measurement reproducibility. IVIM-MRI supplements routine high-resolution MRI without contrast enhancement to provide information of tumor microcirculation.
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Affiliation(s)
- Xinyue Yang
- Department of Radiology, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, PR China
| | - Xiaojuan Xiao
- Department of Radiology, Peking University Shenzhen Hospital, Shenzhen, PR China
| | - Baolan Lu
- Department of Radiology, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, PR China
| | - Yan Chen
- Department of Radiology, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, PR China
| | - Ziqiang Wen
- Department of Radiology, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, PR China
| | - Shenping Yu
- Department of Radiology, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, PR China
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Wen Z, Chen Y, Yang X, Lu B, Liu Y, Shen B, Yu S. Application of magnetic resonance diffusion kurtosis imaging for distinguishing histopathologic subtypes and grades of rectal carcinoma. Cancer Imaging 2019; 19:8. [PMID: 30744694 PMCID: PMC6371623 DOI: 10.1186/s40644-019-0192-x] [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: 08/08/2018] [Accepted: 01/28/2019] [Indexed: 01/19/2023] Open
Abstract
Background To evaluate the diagnostic performance of diffusion kurtosis imaging (DKI) for distinguishing different histopathological subtypes and grades of rectal carcinoma and to compare DKI with conventional diffusion-weighted imaging (DWI). Methods This prospective study involved 132 patients with rectal carcinoma, comprising 116 with adenocarcinoma not otherwise specified (AC) and 16 with mucinous carcinoma (MC). High spatial resolution magnetic resonance (MR) and DKI sequences (b values of 0, 600, 1000, 1500 and 2000 s/mm2) were performed for pretreatment evaluation. The mean kurtosis (MK) and mean diffusivity (MD) from DKI and the apparent diffusion coefficient (ADC) from DWI were measured by two experienced radiologists. The Mann-Whitney U test was used to evaluate different histopathological subtypes and grades. Receiver operating characteristic (ROC) curve analyses were performed to compare the diagnostic ability of different quantitative parameters. Results The MD and ADC values were significantly higher for MC than for AC (1.94 ± 0.51 vs. 1.33 ± 0.02 and 1.26 ± 0.64 vs. 0.92 ± 0.01, respectively; P < 0.001). The MK values were significantly lower for MC than for AC (0.66 ± 0.02 vs. 0.93 ± 0.09, P < 0.001). The MK and MD values demonstrated higher sensitivity (94%, both) and specificity (96, 93%, respectively) than the ADC values. However, all the parameters derived from both DKI and DWI showed no significant differences between different histological grades. Conclusions DKI is a more valuable imaging biomarker than conventional DWI for differentiating MC from AC. However, it is still debatable whether DKI is useful for distinguishing different histological grades.
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Affiliation(s)
- Ziqiang Wen
- Department of Radiology, Sun Yat-sen University First Affiliated Hospital, No. 58, Zhongshan Second Road, Yuexiu District, Guangzhou, 510080, China
| | - Yan Chen
- Department of Radiology, Sun Yat-sen University First Affiliated Hospital, No. 58, Zhongshan Second Road, Yuexiu District, Guangzhou, 510080, China
| | - Xinyue Yang
- Department of Radiology, Southern Medical University Zhujiang Hospital, Guangzhou, 510282, China
| | - Baolan Lu
- Department of Radiology, Sun Yat-sen University First Affiliated Hospital, No. 58, Zhongshan Second Road, Yuexiu District, Guangzhou, 510080, China
| | - Yiyan Liu
- Department of Radiology, Sun Yat-sen University First Affiliated Hospital, No. 58, Zhongshan Second Road, Yuexiu District, Guangzhou, 510080, China
| | - Bingqi Shen
- Department of Radiology, Sun Yat-sen University First Affiliated Hospital, No. 58, Zhongshan Second Road, Yuexiu District, Guangzhou, 510080, China
| | - Shenping Yu
- Department of Radiology, Sun Yat-sen University First Affiliated Hospital, No. 58, Zhongshan Second Road, Yuexiu District, Guangzhou, 510080, China.
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Imaging features of primary spinal osseous tumors and their value in clinical diagnosis. Oncol Lett 2019; 17:1089-1093. [PMID: 30655869 PMCID: PMC6312963 DOI: 10.3892/ol.2018.9659] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2018] [Accepted: 09/28/2018] [Indexed: 12/22/2022] Open
Abstract
This study explored the method of imaging diagnosis of primary spinal osseous tumors and the application value of imaging in clinical diagnosis. Sixty-nine patients with primary spinal osseous tumors who received treatment in Nankai Hospital from July 2016 to June 2017 were selected. All of them received X-ray, computed tomography (CT) and magnetic resonance imaging (MRI) examinations to analyze the imaging features of the three examination methods. Sensitivity (Sen), specificity (Spe), positive predictive value (PV+), negative predictive value (PV−) and accuracy (Acc) were compared. The consistency of the three examination methods in diagnosing primary spinal osseous tumors was analyzed. Sen, Acc and PV− of the three examination methods in diagnosing spinal osseous tumors had obvious differences. MRI showed the highest Sen (P<0.05). MRI had relatively high consistency with CT scan in diagnosing primary spinal osseous tumors, and κ-value was 0.72. CT scan and X-ray had obvious difference in diagnosing primary spinal osseous tumors (P<0.05). The consistency between CT scan and X-ray in diagnosing primary spinal osseous tumors was relatively low, and κ-value was 0.47. MRI and X-ray had obvious difference in diagnosing primary spinal osseous tumors (P<0.05). The consistency between MRI and X-ray in diagnosing primary spinal osseous tumors was relatively low, and κ-value was 0.41. X-ray examination is easy to operate with high resolution. CT scan has obvious advantages in displaying lesions with complex structure, many of which locate in overlapping sites. MRI has more advantages and higher accuracy in judging the scope of the tumor. CT and MRI examinations have obviously higher efficacy than X-ray in diagnosing primary spinal osseous tumors. They are conducive in improving the accuracy of diagnosing primary spinal osseous tumors.
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Li F, Zhang W, Li J, Zhu X, Chen H, Wu Y, Wang J. The clinical application value of MR diffusion-weighted imaging in the diagnosis of rectal cancer: A retrospective study. Medicine (Baltimore) 2018; 97:e13732. [PMID: 30572512 PMCID: PMC6319922 DOI: 10.1097/md.0000000000013732] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/18/2023] Open
Abstract
The present study evaluated the clinical potential of magnetic resonance (MR) diffusion-weighted imaging (DWI) in the diagnosis of rectal cancer.A total of 84 patients confirmed with rectal cancer were used as study subjects in the present study. All patients received conventional sequence MR T1WI, T2WI, and DWI examination as well as operative pathological examination. The differences between the MRI results and operative pathological results were analyzed.The diagnosis accordance rates of conventional sequence examination in stage T1, T2, T3, and T4 were 60.00%, 82.75%, 62.85%, and 80.00%, respectively. The diagnosis accordance rates of conventional sequence combined with DWI examination in stages T1, T2, T3, and T4 were 100.00%, 100.00%, 82.85%, and 100.00% respectively. The total diagnosis accordance rates in the T staging of rectal cancer with conventional (Routinely or generally applied) sequence examination and conventional sequence combined with DWI examination were 71.42% and 92.85%, respectively.The analysis on consistency of MR conventional sequence examination suggested that the conventional sequence combined with DWI examination is more consistent with pathological staging when compared with the convention sequence examination alone. MR DWI combined with conventional sequences reveals quite good accuracy in the T staging of rectal cancer.
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Guo L, Zhang L, Zhao J. CT scan and magnetic resonance diffusion-weighted imaging in the diagnosis and treatment of esophageal cancer. Oncol Lett 2018; 16:7117-7122. [PMID: 30546446 PMCID: PMC6256330 DOI: 10.3892/ol.2018.9532] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2018] [Accepted: 09/06/2018] [Indexed: 12/11/2022] Open
Abstract
Value of computed tomography (CT) scan and diffusion-weighted imaging (DWI) in the diagnosis and treatment of esophageal cancer was investigated. Seventy-eight patients with esophageal cancer treated in Jinan Central Hospital (Jinan, China) from January 2013 to June 2014 were selected. All patients underwent CT scan and DWI examination, and their clinical history data were analyzed. DWI was conducted. The short-term curative effect and the 3-year survival rate of patients in the high apparent diffusion coefficient (ADC) value group and the low ADC value group were compared; ADC values in the complete remission (CR) group and the partial remission (PR) group were compared. The difference in value between the length of esophageal lesions and the length of pathological specimens measured by CT scan was significantly different from that detected via DWI examination with b=600, 800 and 1,000 sec/mm2, respectively (P<0.05). The diagnostic rate of esophageal cancer via CT scan was significantly lower than that via DWI examination (P<0.05). After radiotherapy, the clinical control rate in the high ADC value group was significantly higher than that in the low ADC value group, and the 3-year survival rate in the former was significantly higher than that in the latter (P<0.05). In the 2nd week during radiotherapy and at the end of radiotherapy, the ADC values in the CR group were significantly higher than those in the PR group (P<0.05). In the 2nd week during radiotherapy and at the end of radiotherapy, ADC values were used to predict the CR rate of radiotherapy for esophageal cancer, and the areas under the receiver operating characteristic (ROC) curve were 0.776 and 0.935, respectively. Compared with CT scan, DWI has higher diagnostic rate and higher sensitivity. The length of esophageal tumor measured by DWI is close to that of pathological entity, which can guide the delineation of the target area of esophageal cancer.
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Affiliation(s)
- Lei Guo
- Department of MRI, Jinan Central Hospital, Jinan, Shandong 250013, P.R. China
| | - Liulong Zhang
- Department of Radiology, Dongying People's Hospital, Dongying, Shandong 257091, P.R. China
| | - Jianshe Zhao
- Department of Radiology, Jinan Children's Hospital, Jinan, Shandong 250022, P.R. China
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Pellino G, Gallo G, Pallante P, Capasso R, De Stefano A, Maretto I, Malapelle U, Qiu S, Nikolaou S, Barina A, Clerico G, Reginelli A, Giuliani A, Sciaudone G, Kontovounisios C, Brunese L, Trompetto M, Selvaggi F. Noninvasive Biomarkers of Colorectal Cancer: Role in Diagnosis and Personalised Treatment Perspectives. Gastroenterol Res Pract 2018; 2018:2397863. [PMID: 30008744 PMCID: PMC6020538 DOI: 10.1155/2018/2397863] [Citation(s) in RCA: 48] [Impact Index Per Article: 6.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/05/2017] [Revised: 04/03/2018] [Accepted: 04/15/2018] [Indexed: 02/08/2023] Open
Abstract
Colorectal cancer (CRC) is the third leading cause of cancer-related deaths worldwide. It has been estimated that more than one-third of patients are diagnosed when CRC has already spread to the lymph nodes. One out of five patients is diagnosed with metastatic CRC. The stage of diagnosis influences treatment outcome and survival. Notwithstanding the recent advances in multidisciplinary management and treatment of CRC, patients are still reluctant to undergo screening tests because of the associated invasiveness and discomfort (e.g., colonoscopy with biopsies). Moreover, the serological markers currently used for diagnosis are not reliable and, even if they were useful to detect disease recurrence after treatment, they are not always detected in patients with CRC (e.g., CEA). Recently, translational research in CRC has produced a wide spectrum of potential biomarkers that could be useful for diagnosis, treatment, and follow-up of these patients. The aim of this review is to provide an overview of the newer noninvasive or minimally invasive biomarkers of CRC. Here, we discuss imaging and biomolecular diagnostics ranging from their potential usefulness to obtain early and less-invasive diagnosis to their potential implementation in the development of a bespoke treatment of CRC.
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Affiliation(s)
- Gianluca Pellino
- Unit of General Surgery, Department of Medical, Surgical, Neurological, Metabolic and Ageing Sciences, Università degli Studi della Campania “Luigi Vanvitelli”, Piazza Miraglia 2, 80138 Naples, Italy
- Colorectal Surgery Unit, Hospital Universitario y Politécnico La Fe, Valencia, Spain
| | - Gaetano Gallo
- Department of Medical and Surgical Sciences, OU of General Surgery, University of Catanzaro, Catanzaro, Italy
- Department of Colorectal Surgery, Clinic S. Rita, Vercelli, Italy
| | - Pierlorenzo Pallante
- Institute of Experimental Endocrinology and Oncology (IEOS), National Research Council (CNR), Via S. Pansini 5, Naples, Italy
| | - Raffaella Capasso
- Department of Medicine and Health Sciences, University of Molise, Via Francesco de Sanctis 1, 86100 Campobasso, Italy
| | - Alfonso De Stefano
- Department of Abdominal Oncology, Division of Abdominal Medical Oncology, Istituto Nazionale per lo Studio e la Cura dei Tumori, “Fondazione G. Pascale, ” IRCCS, Naples, Italy
| | - Isacco Maretto
- 1st Surgical Clinic, Department of Surgical, Oncological, and Gastroenterological Sciences, University of Padua, Padua, Italy
| | - Umberto Malapelle
- Dipartimento di Sanità Pubblica, Università degli Studi di Napoli Federico II, Naples, Italy
| | - Shengyang Qiu
- Department of Colorectal Surgery, Royal Marsden Hospital, London, UK
| | - Stella Nikolaou
- Department of Colorectal Surgery, Royal Marsden Hospital, London, UK
| | - Andrea Barina
- 1st Surgical Clinic, Department of Surgical, Oncological, and Gastroenterological Sciences, University of Padua, Padua, Italy
| | - Giuseppe Clerico
- Department of Colorectal Surgery, Clinic S. Rita, Vercelli, Italy
| | - Alfonso Reginelli
- Department of Internal and Experimental Medicine, Magrassi-Lanzara, Institute of Radiology, Università degli Studi della Campania “Luigi Vanvitelli”, Piazza Miraglia 2, 80138 Naples, Italy
| | - Antonio Giuliani
- Department of Medicine and Health Sciences “V. Tiberio”, University of Molise, Campobasso, Italy
| | - Guido Sciaudone
- Unit of General Surgery, Department of Medical, Surgical, Neurological, Metabolic and Ageing Sciences, Università degli Studi della Campania “Luigi Vanvitelli”, Piazza Miraglia 2, 80138 Naples, Italy
| | - Christos Kontovounisios
- Department of Colorectal Surgery, Royal Marsden Hospital, London, UK
- Department of Surgery and Cancer, Chelsea and Westminster Hospital Campus, Imperial College London, London, UK
| | - Luca Brunese
- Department of Medicine and Health Sciences, University of Molise, Via Francesco de Sanctis 1, 86100 Campobasso, Italy
| | - Mario Trompetto
- Department of Colorectal Surgery, Clinic S. Rita, Vercelli, Italy
| | - Francesco Selvaggi
- Unit of General Surgery, Department of Medical, Surgical, Neurological, Metabolic and Ageing Sciences, Università degli Studi della Campania “Luigi Vanvitelli”, Piazza Miraglia 2, 80138 Naples, Italy
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Federau C. Intravoxel incoherent motion MRI as a means to measure in vivo perfusion: A review of the evidence. NMR IN BIOMEDICINE 2017; 30. [PMID: 28885745 DOI: 10.1002/nbm.3780] [Citation(s) in RCA: 75] [Impact Index Per Article: 9.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/03/2017] [Revised: 06/19/2017] [Accepted: 07/07/2017] [Indexed: 05/07/2023]
Abstract
The idea that in vivo intravoxel incoherent motion magnetic resonance signal is influenced by blood motion in the microvasculature is exciting, because it suggests that local and quantitative perfusion information can be obtained in a simple and elegant way from a few diffusion-weighted images, without contrast injection. When the method was proposed in the late 1980s some doubts appeared as to its feasibility, and, probably because the signal to noise and image quality at the time was not sufficient, no obvious experimental evidence could be produced to alleviate them. Helped by the tremendous improvements seen in the last three decades in MR hardware, pulse design, and post-processing capabilities, an increasing number of encouraging reports on the value of intravoxel incoherent motion perfusion imaging have emerged. The aim of this article is to review the current published evidence on the feasibility of in vivo perfusion imaging with intravoxel incoherent motion MRI.
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Affiliation(s)
- Christian Federau
- Division of Diagnostic and Interventional Neuroradiology, Department of Radiology, University Hospital Basel, Petersgraben, Basle, Switzerland
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Lu W, Jing H, Ju-Mei Z, Shao-Lin N, Fang C, Xiao-Ping Y, Qiang L, Biao Z, Su-Yu Z, Ying H. Intravoxel incoherent motion diffusion-weighted imaging for discriminating the pathological response to neoadjuvant chemoradiotherapy in locally advanced rectal cancer. Sci Rep 2017; 7:8496. [PMID: 28819296 PMCID: PMC5561073 DOI: 10.1038/s41598-017-09227-9] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2016] [Accepted: 07/17/2017] [Indexed: 02/07/2023] Open
Abstract
To investigate the usefulness of intravoxel incoherent motion diffusion-weighted imaging (IVIM-DWI) in discriminating the pathological complete response (pCR) to neoadjuvant chemoradiotherapy (nCRT) in locally advanced rectal cancer (LARC), 42 patients underwent preoperative IVIM-DWI before (pre-nCRT) and after nCRT (post-nCRT). The values of pre-nCRT and post-nCRT IVIM-DWI parameters (ADC, D, D* and f), together with the percentage changes (∆% parametric value) induced by nCRT, were compared between the pCR (tumour regression grade [TRG] 4) and non-pCR (TRG 0, 1, 2 or 3) groups and between the GR (TRG 3 or 4) and PR (TRG 0, 1 or 2) groups based on the Dworak TRG system. After nCRT, the ADC and D values for LARC increased significantly (all P < 0.05). The TRG score revealed a positive correlation with pref (r = 0.357, P = 0.020), postD (r = 0.551, P < 0.001) and Δ%D (r = 0.605, P < 0.001). The pCR group (n = 10) had higher preD*, pref, postD, ∆%ADC and ∆%D values than the non-pCR group (n = 32) (all P < 0.05). The GR group (n = 15) exhibited higher postD, ∆%ADC and ∆%D values than the PR group (n = 27) (all P < 0.05). Based on ROC analysis, ∆%D had a higher area under the curve value than ∆%ADC (P = 0.009) in discriminating the pCR from non-pCR groups. In conclusion, IVIM-DWI may be helpful in identifying the pCR to nCRT for LARC and is more accurate than traditional DWI.
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Affiliation(s)
- Wen Lu
- Department of Diagnostic Radiology, Hunan Cancer Hospital and the Affiliated Cancer Hospital of Xiangya School of Medicine,Central South University, Changsha, 410013, Hunan, P.R. China
| | - Hou Jing
- Department of Diagnostic Radiology, Hunan Cancer Hospital and the Affiliated Cancer Hospital of Xiangya School of Medicine,Central South University, Changsha, 410013, Hunan, P.R. China
| | - Zhou Ju-Mei
- Department of Radiotherapy, Hunan Cancer Hospital and the Affiliated Cancer Hospital of Xiangya School of Medicine,Central South University, Changsha, 410013, Hunan, P.R. China
| | - Nie Shao-Lin
- Department of Colorectal Surgery, Hunan Cancer Hospital and the Affiliated Cancer Hospital of Xiangya School of Medicine,Central South University, Changsha, 410013, Hunan, P.R. China
| | - Cao Fang
- Department of Pathology, Hunan Cancer Hospital and the Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, 410013, Hunan, P.R. China
| | - Yu Xiao-Ping
- Department of Diagnostic Radiology, Hunan Cancer Hospital and the Affiliated Cancer Hospital of Xiangya School of Medicine,Central South University, Changsha, 410013, Hunan, P.R. China.
| | - Lu Qiang
- Department of Diagnostic Radiology, Hunan Cancer Hospital and the Affiliated Cancer Hospital of Xiangya School of Medicine,Central South University, Changsha, 410013, Hunan, P.R. China
| | - Zeng Biao
- Department of Radiotherapy, Hunan Cancer Hospital and the Affiliated Cancer Hospital of Xiangya School of Medicine,Central South University, Changsha, 410013, Hunan, P.R. China
| | - Zhu Su-Yu
- Department of Radiotherapy, Hunan Cancer Hospital and the Affiliated Cancer Hospital of Xiangya School of Medicine,Central South University, Changsha, 410013, Hunan, P.R. China
| | - Hu Ying
- Department of Radiotherapy, Hunan Cancer Hospital and the Affiliated Cancer Hospital of Xiangya School of Medicine,Central South University, Changsha, 410013, Hunan, P.R. China.
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12
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Zhang D, Xu A. Application of dual-source CT perfusion imaging and MRI for the diagnosis of primary liver cancer. Oncol Lett 2017; 14:5753-5758. [PMID: 29113204 PMCID: PMC5661360 DOI: 10.3892/ol.2017.6170] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2017] [Accepted: 04/25/2017] [Indexed: 01/16/2023] Open
Abstract
The objective of the present study was to evaluate the application of dual-source CT perfusion imaging and MRI for the diagnosis of primary liver cancer. Sixty-three patients with primary liver cancer were selected between February 2015 and May 2016. All patients underwent examinations by dual-source CT perfusion imaging and MRI. The perfusion parameters of the focus center and normal liver parenchyma by CT examination and the hemodynamic parameters of the focus center and normal liver parenchyma by MRI examination were analyzed. The accuracy rates of the three detection methods (CT perfusion imaging, MRI, and combined examination) were analyzed and compared by ROC curves. Dual-source CT perfusion imaging revealed that blood flow and blood volume of the focus center were significantly higher than those of normal liver parenchyma (P<0.05). MRI examination showed that hepatic arterial perfusion and hepatic perfusion index of the focus center were significantly higher than those of normal liver parenchyma; portal venous perfusion of the focus center was significantly lower than that of normal liver parenchyma (P<0.05); the difference in total liver perfusion between the focus center and normal liver parenchyma was not significant (P>0.05); the accuracy rates of CT perfusion imaging, MRI, and combined examination were 76.19, 85.71, and 95.24% respectively; the area under the curve of CT perfusion imaging was 0.753 (P<0.05), the sensitivity was 79.2% and the specificity was 74.7%; the area under the curve of MRI was 0.846 (P<0.05), the sensitivity was 84.6%, and the specificity was 80.5%; the area under the curve of CT combined with MRI was 0.947 (P<0.05), the sensitivity was 94.6%, and the specificity was 86.5%. In conclusion, the effect of dual-source CT perfusion imaging combined with MRI for examination of primary liver cancer is superior to that of single use of CT or MRI, and has high clinical application and popularization value.
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Affiliation(s)
- Dongwen Zhang
- Imaging Center, Affiliated Hospital of Weifang Medical University, Weifang, Shandong 261031, P.R. China
| | - Aixia Xu
- Imaging Center, Affiliated Hospital of Weifang Medical University, Weifang, Shandong 261031, P.R. China
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Cheng J, Wang Y, Zhang CF, Wang H, Wu WZ, Pan F, Hong N, Deng J. Chemotherapy response evaluation in a mouse model of gastric cancer using intravoxel incoherent motion diffusion-weighted MRI and histopathology. World J Gastroenterol 2017; 23:1990-2001. [PMID: 28373765 PMCID: PMC5360640 DOI: 10.3748/wjg.v23.i11.1990] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/22/2016] [Revised: 01/19/2017] [Accepted: 02/17/2017] [Indexed: 02/06/2023] Open
Abstract
AIM To determine the role of intravoxel incoherent motion (IVIM) diffusion-weighted (DW) magnetic resonance imaging (MRI) using a bi-exponential model in chemotherapy response evaluation in a gastric cancer mouse model.
METHODS Mice bearing MKN-45 human gastric adenocarcinoma xenografts were divided into four treated groups (TG1, 2, 3 and 4, n = 5 in each group) which received Fluorouracil and Calcium Folinate and a control group (CG, n = 7). DW-MRI scans with 14 b-values (0-1500 s/mm2) were performed before and after treatment on days 3, 7, 14 and 21. Fast diffusion component (presumably pseudo-perfusion) parameters including the fast diffusion coefficient (D*) and fraction volume (fp), slow diffusion coefficient (D) and the conventional apparent diffusion coefficients (ADC) were calculated by fitting the IVIM model to the measured DW signals. The median changes from the baseline to each post-treatment time point for each measurement (ΔADC, ΔD* and Δfp) were calculated. The differences in the median changes between the two groups were compared using the mixed linear regression model by the restricted maximum likelihood method shown as z values. Histopathological analyses including Ki-67, CD31, TUNEL and H&E were conducted in conjunction with the MRI scans. The median percentage changes were compared with the histopathological analyses between the pre- and post-treatment for each measurement.
RESULTS Compared with the control group, D* in the treated group decreased significantly (ΔD*treated% = -30%, -34% and -20%, with z = -5.40, -4.18 and -1.95. P = 0.0001, 0.0001 and 0.0244) and fp increased significantly (Δfptreated% = 93%, 113% and 181%, with z = 4.63, 5.52, and 2.12, P = 0.001, 0.0001 and 0.0336) on day 3, 7 and 14, respectively. Increases in ADC in the treated group were higher than those in the control group on days 3 and 14 (z = 2.44 and 2.40, P = 0.0147 and P = 0.0164).
CONCLUSION Fast diffusion measurements derived from the bi-exponential IVIM model may be more sensitive imaging biomarkers than ADC to assess chemotherapy response in gastric adenocarcinoma.
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Pan F, Den J, Zhang C, Wang H, Cheng J, Wu W, Hong N, Wang Y. The Therapeutic Response of Gastrointestinal Stromal Tumors to Imatinib Treatment Assessed by Intravoxel Incoherent Motion Diffusion-Weighted Magnetic Resonance Imaging with Histopathological Correlation. PLoS One 2016; 11:e0167720. [PMID: 27911930 PMCID: PMC5135126 DOI: 10.1371/journal.pone.0167720] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2016] [Accepted: 11/18/2016] [Indexed: 02/07/2023] Open
Abstract
Purpose To exploit the intravoxel incoherent motion (IVIM) diffusion-weighted (DW) MRI when evaluating the therapeutic response of gastrointestinal stromal tumors (GIST) to Imatinib in a mouse model. Materials and Methods Mice with xenografts bearing cells from the GIST-T1 cell line were randomly divided into a treated group receiving Imatinib and a control group. DWMRI scans with 14 b-values (0–1500 s/mm2) were performed before and after treatment (days 1, 3 and 7). IVIM related parameters perfusion fractions (fp) and perfusion-related diffusion coefficients (D*) and the conventional apparent diffusion coefficients (ADC) were calculated by fitting the DWMRI signal decay. The mean changes from baseline to each post-treatment time point for each measurement (ΔADC, Δfp and ΔD*) were calculated. The differences of mean changes between the two groups were tested for statistical significance. Histopathological analyses including Ki-67, CD31, TUNEL and H&E were conducted in conjunction with the MRI scans. Results Increases in ADC of the treated group were higher than those of the control group after treatment, whereas statistical significances were not observed. Compared to the control group, D* in the treated group decreased significantly (ΔD*treated = -41%, -49%, and -49% with P = 0.0001, 0.0001 and 0.0001), and fp increased significantly (Δfptreated = 79%, 82% and 110%, with P = 0.001, 0.0001 and P = 0.0007) on days 1, 3 and 7 after treatment. Histopathological analyses demonstrated different tumor tissue characteristics between the treated and control groups. Conclusion IVIM measurements may serve as more sensitive imaging biomarkers than ADC when assessing GIST response to Imatinib as early as one day after treatment.
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Affiliation(s)
- Feng Pan
- Department of Radiology, People’s Hospital, Peking University, Beijing, China
| | - Jie Den
- Department of Medical Imaging, Ann & Robert H. Lurie Children's Hospital of Chicago, Department of Radiology, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, United States of America
| | - Chunfang Zhang
- People’s Hospital, Peking University, Clinical Epidemiology and Medical Statistics, Beijing, China
| | - He Wang
- GE Healthcare, Shanghai, China
| | - Jin Cheng
- Department of Radiology, People’s Hospital, Peking University, Beijing, China
| | - Weizhen Wu
- Department of Radiology, People’s Hospital, Peking University, Beijing, China
| | - Nan Hong
- Department of Radiology, People’s Hospital, Peking University, Beijing, China
| | - Yi Wang
- Department of Radiology, People’s Hospital, Peking University, Beijing, China
- * E-mail:
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Barral M, Eveno C, Hoeffel C, Boudiaf M, Bazeries P, Foucher R, Pocard M, Dohan A, Soyer P. Diffusion-weighted magnetic resonance imaging in colorectal cancer. J Visc Surg 2016; 153:361-369. [PMID: 27618699 DOI: 10.1016/j.jviscsurg.2016.08.004] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/28/2022]
Abstract
Magnetic resonance imaging (MRI) plays now a major role in patients with colorectal cancer regarding tumor staging, surgical planning, therapeutic decision, assessment of tumor response to chemoradiotherapy and surveillance of rectal cancer, and detection and characterization of liver or peritoneal metastasis of colorectal cancers. Diffusion-weighted MRI (DW-MRI) is a functional imaging tool that is now part of the standard MRI protocol for the investigation of patients with colorectal cancer. DW-MRI reflects micro-displacements of water molecules in tissues and conveys high degrees of accuracy to discriminate between benign and malignant colorectal conditions. Thus, in addition to morphological imaging, DW-MRI has an important role to accurately detect colorectal neoplasms and peritoneal implants, to differentiate benign focal liver lesions from metastases and to detect tumor relapse within fibrotic changes. This review provides a comprehensive overview of basic principles, clinical applications and future trends of DW-MRI in colorectal cancers.
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Affiliation(s)
- M Barral
- Department of Body and Interventional Imaging, Hôpital Lariboisière, Assistance publique-Hôpitaux de Paris, 2, rue Ambroise-Paré, 75475 Paris, France; Université Diderot-Paris 7, Sorbonne Paris Cité, Hôpital Lariboisière, 2, rue Ambroise-Paré, 75010 Paris, France; UMR INSERM 965, Hôpital Lariboisière, 2, rue Ambroise-Paré, 75010 Paris, France
| | - C Eveno
- Department of digestive surgery, Hôpital Lariboisière, 2, rue Ambroise-Paré, 75010 Paris, France
| | - C Hoeffel
- Department of Radiology, Hôpital Robert-Debré, CHU de Reims, 51092 Reims cedex, France
| | - M Boudiaf
- Department of Body and Interventional Imaging, Hôpital Lariboisière, Assistance publique-Hôpitaux de Paris, 2, rue Ambroise-Paré, 75475 Paris, France
| | - P Bazeries
- Department of Body and Interventional Imaging, Hôpital Lariboisière, Assistance publique-Hôpitaux de Paris, 2, rue Ambroise-Paré, 75475 Paris, France.
| | - R Foucher
- Department of Body and Interventional Imaging, Hôpital Lariboisière, Assistance publique-Hôpitaux de Paris, 2, rue Ambroise-Paré, 75475 Paris, France; Université Diderot-Paris 7, Sorbonne Paris Cité, Hôpital Lariboisière, 2, rue Ambroise-Paré, 75010 Paris, France
| | - M Pocard
- Université Diderot-Paris 7, Sorbonne Paris Cité, Hôpital Lariboisière, 2, rue Ambroise-Paré, 75010 Paris, France; UMR INSERM 965, Hôpital Lariboisière, 2, rue Ambroise-Paré, 75010 Paris, France; Department of digestive surgery, Hôpital Lariboisière, 2, rue Ambroise-Paré, 75010 Paris, France
| | - A Dohan
- UMR INSERM 965, Hôpital Lariboisière, 2, rue Ambroise-Paré, 75010 Paris, France
| | - P Soyer
- Université Diderot-Paris 7, Sorbonne Paris Cité, Hôpital Lariboisière, 2, rue Ambroise-Paré, 75010 Paris, France; UMR INSERM 965, Hôpital Lariboisière, 2, rue Ambroise-Paré, 75010 Paris, France.
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Moon SJ, Cho SH, Kim GC, Kim WH, Kim HJ, Shin KM, Lee SM, Park JS, Choi GS, Kim SH. Complementary value of pre-treatment apparent diffusion coefficient in rectal cancer for predicting tumor recurrence. Abdom Radiol (NY) 2016; 41:1237-44. [PMID: 26830420 DOI: 10.1007/s00261-016-0648-4] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
PURPOSE To assess the complementary prognostic value of pre-treatment tumor apparent diffusion coefficient (ADC) for the prediction of tumor recurrence in patients with rectal cancer. METHODS From March 2012 to March 2013, a total of 128 patients with mid/lower rectal cancer who underwent pre-treatment rectal MRI were enrolled in this retrospective study. Two radiologists in consensus evaluated conventional imaging features (Cimg) in pre-treatment rectal MRI: tumor height from anal verge (≤5 cm vs. >5 cm), T stage (high vs. low), the presence or absence of lymph node metastasis, mesorectal fascia invasion, and extramural venous invasion. The mean tumor ADC values (TumorADC) based on high b-value (0, 1000 × 10(-3) mm(2)/s) diffusion weight images were extracted. A multivariate Cox proportional hazard (CPH) regression was performed to evaluate the association of Cimg and TumorADC with the 3-year local recurrence (LR) rate. Predictive performance of two multivariate CPH models (Cimg only vs. Cimg + TumorADC) was compared using Harrell's c index (HCI). RESULTS TumorADC (Adjusted HR, 7.830; 95% CI 3.937-15.571) and high T stage (Adjusted HR, 8.039; 95% CI 2.405-26.874) were independently associated with the 3-year LR rate. The CPH model generated with T stage + TumorADC (HCI, 0.820; 95% CI 0.708-0.932) showed significantly higher HCI than that with T stage only (HCI, 0.742; 95% CI 0.594-0.889) (P = 0.009). CONCLUSIONS In patients with mid/lower rectal cancer, integrating TumorADC to Cimg increases predictive performance of the CPH model than that with Cimg alone for the prediction of LR within 3 years after surgery.
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Affiliation(s)
- Sung Jun Moon
- Department of Radiology, Kyungpook National University Medical Center, School of Medicine, Kyungpook National University, 807 Hoguk-ro, Buk-gu, Daegu, 702-210, Republic of Korea
| | - Seung Hyun Cho
- Department of Radiology, Kyungpook National University Medical Center, School of Medicine, Kyungpook National University, 807 Hoguk-ro, Buk-gu, Daegu, 702-210, Republic of Korea.
| | - Gab Chul Kim
- Department of Radiology, Kyungpook National University Medical Center, School of Medicine, Kyungpook National University, 807 Hoguk-ro, Buk-gu, Daegu, 702-210, Republic of Korea
| | - Won Hwa Kim
- Department of Radiology, Kyungpook National University Medical Center, School of Medicine, Kyungpook National University, 807 Hoguk-ro, Buk-gu, Daegu, 702-210, Republic of Korea
| | - Hye Jung Kim
- Department of Radiology, Kyungpook National University Medical Center, School of Medicine, Kyungpook National University, 807 Hoguk-ro, Buk-gu, Daegu, 702-210, Republic of Korea
| | - Kyung-Min Shin
- Department of Radiology, Kyungpook National University Medical Center, School of Medicine, Kyungpook National University, 807 Hoguk-ro, Buk-gu, Daegu, 702-210, Republic of Korea
| | - So Mi Lee
- Department of Radiology, Kyungpook National University Medical Center, School of Medicine, Kyungpook National University, 807 Hoguk-ro, Buk-gu, Daegu, 702-210, Republic of Korea
| | - Jun Seok Park
- Colorectal Cancer Center, Kyungpook National University Medical Center, School of Medicine, Kyungpook National University, 807 Hoguk-ro, Buk-gu, Daegu, 702-210, Republic of Korea
| | - Gyu-Seog Choi
- Colorectal Cancer Center, Kyungpook National University Medical Center, School of Medicine, Kyungpook National University, 807 Hoguk-ro, Buk-gu, Daegu, 702-210, Republic of Korea
| | - See Hyung Kim
- Department of Radiology, Dongsan Hospital, College of Medicine, Keimyung University, 56 Dalseong-ro, Jung-gu, Daegu, 700-712, Republic of Korea
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García-Figueiras R, Baleato-González S, Padhani AR, Marhuenda A, Luna A, Alcalá L, Carballo-Castro A, Álvarez-Castro A. Advanced imaging of colorectal cancer: From anatomy to molecular imaging. Insights Imaging 2016; 7:285-309. [PMID: 27136925 PMCID: PMC4877344 DOI: 10.1007/s13244-016-0465-x] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2015] [Revised: 12/30/2015] [Accepted: 01/19/2016] [Indexed: 12/14/2022] Open
Abstract
UNLABELLED Imaging techniques play a key role in the management of patients with colorectal cancer. The introduction of new advanced anatomical, functional, and molecular imaging techniques may improve the assessment of diagnosis, prognosis, planning therapy, and assessment of response to treatment of these patients. Functional and molecular imaging techniques in clinical practice may allow the assessment of tumour-specific characteristics and tumour heterogeneity. This paper will review recent developments in imaging technologies and the evolving roles for these techniques in colorectal cancer. TEACHING POINTS • Imaging techniques play a key role in the management of patients with colorectal cancer. • Advanced imaging techniques improve the evaluation of these patients. • Functional and molecular imaging allows assessment of tumour hallmarks and tumour heterogeneity.
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Affiliation(s)
- Roberto García-Figueiras
- />Department of Radiology, Hospital Clínico Universitario de Santiago de Compostela, Choupana s/n, 15706 Santiago de Compostela, Spain
| | - Sandra Baleato-González
- />Department of Radiology, Hospital Clínico Universitario de Santiago de Compostela, Choupana s/n, 15706 Santiago de Compostela, Spain
| | - Anwar R. Padhani
- />Paul Strickland Scanner Centre, Mount Vernon Cancer Centre, Northwood, Middlesex, England, HA6 2RN UK
| | - Ana Marhuenda
- />Department of Radiology, IVO (Instituto Valenciano de Oncología), C/ Beltrán Báguena, 8, 46009 Valencia, Spain
| | - Antonio Luna
- />Department of Radiology, Advanced Medical Imaging, Clinica Las Nieves, SERCOSA, Grupo Health Time, C/ Carmelo Torres 2, 23007 Jaén, Spain
- />Case Western Reserve University, Cleveland, OH USA
| | - Lidia Alcalá
- />Department of Radiology, Advanced Medical Imaging, Clinica Las Nieves, SERCOSA, Grupo Health Time, C/ Carmelo Torres 2, 23007 Jaén, Spain
| | - Ana Carballo-Castro
- />Department of Radiotherapy, Hospital Clínico Universitario de Santiago de Compostela, Choupana s/n, 15706 Santiago de Compostela, Spain
| | - Ana Álvarez-Castro
- />Department of Gastroenterology, Colorectal Cancer Group, Hospital Clínico Universitario de Santiago de Compostela, Choupana s/n, Santiago de Compostela, 15706 Spain
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18
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Zhu L, Zhu L, Shi H, Wang H, Yan J, Liu B, Chen W, He J, Zhou Z, Yang X, Liu T. Evaluating early response of cervical cancer under concurrent chemo-radiotherapy by intravoxel incoherent motion MR imaging. BMC Cancer 2016; 16:79. [PMID: 26860361 PMCID: PMC4748551 DOI: 10.1186/s12885-016-2116-5] [Citation(s) in RCA: 43] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2015] [Accepted: 02/03/2016] [Indexed: 01/21/2023] Open
Abstract
BACKGROUND Intravoxel incoherent motion (IVIM) MR imaging has been applied in researches of various diseases, however its potential in cervical cancer patients has not been fully explored. The purpose of this study was to investigate the feasibility of IVIM MR imaging to monitor early treatment response in patients receiving concurrent chemo-radiotherapy (CCRT) for advanced cervical cancers. METHODS Twenty-one patients receiving CCRT for advanced cervical cancer were prospectively enrolled. MR examinations including IVIM imaging (with 14 b values, 0 ~ 1000 s/mm(2)) were performed at 4 time points: 1-week prior to, 2-week and 4-week during, as well as immediately post CCRT (within 1 week). The apparent diffusion coefficient (ADC) maps were derived from the mono-exponential model, while the diffusion coefficient (D), perfusion fraction (f) and pseudo-diffusion coefficient (D*) maps were calculated from the bi-exponential model. Dynamic changes of ADC, D, f and D* in cervical cancers were investigated as early surrogate markers for treatment response. RESULTS ADC and D values increased throughout the CCRT course. Both f and D* increased in the first 2 to 3 weeks of CCRT and started to decrease around 4 weeks of CCRT. Significant increase of f value was observed from prior to CCRT (f 1 = 0.12 ± 0.52) to two-week during CCRT (f2 = 0.20 ± 0.90, p = 0.002). CONCLUSIONS IVIM MR imaging has the potential in monitoring early tumor response induced by CCRT in patients with cervical cancers.
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Affiliation(s)
- Li Zhu
- Department of Radiology, Nanjing Drum Tower Hospital, the Affiliated Hospital of Nanjing University Medical School, Nanjing, 210008, China.
| | - Lijing Zhu
- The Comprehensive Cancer Centre of Drum Tower Hospital, the Affiliated Hospital of Nanjing University Medical School, Nanjing, 210008, China.
| | - Hua Shi
- Department of Radiology, Nanjing Drum Tower Hospital, the Affiliated Hospital of Nanjing University Medical School, Nanjing, 210008, China.
| | - Huanhuan Wang
- Department of Radiology, Nanjing Drum Tower Hospital, the Affiliated Hospital of Nanjing University Medical School, Nanjing, 210008, China.
| | - Jing Yan
- The Comprehensive Cancer Centre of Drum Tower Hospital, the Affiliated Hospital of Nanjing University Medical School, Nanjing, 210008, China.
| | - Baorui Liu
- The Comprehensive Cancer Centre of Drum Tower Hospital, the Affiliated Hospital of Nanjing University Medical School, Nanjing, 210008, China.
| | | | - Jian He
- Department of Radiology, Nanjing Drum Tower Hospital, the Affiliated Hospital of Nanjing University Medical School, Nanjing, 210008, China.
| | - Zhengyang Zhou
- Department of Radiology, Nanjing Drum Tower Hospital, the Affiliated Hospital of Nanjing University Medical School, Nanjing, 210008, China.
| | - Xiaofeng Yang
- Department of Radiation Oncology and Winship Cancer Institute, Emory University, Atlanta, GA, 30322, USA.
| | - Tian Liu
- Department of Radiation Oncology and Winship Cancer Institute, Emory University, Atlanta, GA, 30322, USA.
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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: 6.1] [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.
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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
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Bai Y, Lin Y, Tian J, Shi D, Cheng J, Haacke EM, Hong X, Ma B, Zhou J, Wang M. Grading of Gliomas by Using Monoexponential, Biexponential, and Stretched Exponential Diffusion-weighted MR Imaging and Diffusion Kurtosis MR Imaging. Radiology 2015; 278:496-504. [PMID: 26230975 DOI: 10.1148/radiol.2015142173] [Citation(s) in RCA: 167] [Impact Index Per Article: 16.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
Abstract
PURPOSE To quantitatively compare the potential of various diffusion parameters obtained from monoexponential, biexponential, and stretched exponential diffusion-weighted imaging models and diffusion kurtosis imaging in the grading of gliomas. MATERIALS AND METHODS This study was approved by the local ethics committee, and written informed consent was obtained from all subjects. Both diffusion-weighted imaging and diffusion kurtosis imaging were performed in 69 patients with pathologically proven gliomas by using a 3-T magnetic resonance (MR) imaging unit. An isotropic apparent diffusion coefficient (ADC), true ADC, pseudo-ADC, and perfusion fraction were calculated from diffusion-weighted images by using a biexponential model. A water molecular diffusion heterogeneity index and distributed diffusion coefficient were calculated from diffusion-weighted images by using a stretched exponential model. Mean diffusivity, fractional anisotropy, and mean kurtosis were calculated from diffusion kurtosis images. All values were compared between high-grade and low-grade gliomas by using a Mann-Whitney U test. Receiver operating characteristic and Spearman rank correlation analysis were used for statistical evaluations. RESULTS ADC, true ADC, perfusion fraction, water molecular diffusion heterogeneity index, distributed diffusion coefficient, and mean diffusivity values were significantly lower in high-grade gliomas than in low-grade gliomas (U = 109, 56, 129, 6, 206, and 229, respectively; P < .05). Pseudo-ADC and mean kurtosis values were significantly higher in high-grade gliomas than in low-grade gliomas (U = 98 and 8, respectively; P < .05). Both water molecular diffusion heterogeneity index (area under the receiver operating characteristic curve [AUC] = 0.993) and mean kurtosis (AUC = 0.991) had significantly greater AUC values than ADC (AUC = 0.866), mean diffusivity (AUC = 0.722), and fractional anisotropy (AUC = 0.500) in the differentiation of low-grade and high-grade gliomas (P < .05). CONCLUSION Water molecular diffusion heterogeneity index and mean kurtosis values may provide additional information and improve the grading of gliomas compared with conventional diffusion parameters.
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Affiliation(s)
- Yan Bai
- From the Department of Radiology, Henan Provincial People's Hospital & the People's Hospital of Zhengzhou University, No. 7 Weiwu Road, Zhengzhou, Henan 450003, China (Y.B., D.S., B.M., M.W.); Software Technology School of Zhengzhou University (Y.L.); Institute of Automation, Chinese Academy of Sciences, Beijing, China (J.T.); Division of MRI, First Affiliated Hospital of Zhengzhou University, Zhengzhou Henan, China (J.C.); Department of Radiology, Wayne State University, Detroit, Mich (E.M.H.); Magnetic Resonance Innovations, Detroit, Mich (E.M.H.); and Division of MR Research, Department of Radiology, Johns Hopkins University, Baltimore, Md (X.H., B.M., J.Z., M.W.)
| | - Yusong Lin
- From the Department of Radiology, Henan Provincial People's Hospital & the People's Hospital of Zhengzhou University, No. 7 Weiwu Road, Zhengzhou, Henan 450003, China (Y.B., D.S., B.M., M.W.); Software Technology School of Zhengzhou University (Y.L.); Institute of Automation, Chinese Academy of Sciences, Beijing, China (J.T.); Division of MRI, First Affiliated Hospital of Zhengzhou University, Zhengzhou Henan, China (J.C.); Department of Radiology, Wayne State University, Detroit, Mich (E.M.H.); Magnetic Resonance Innovations, Detroit, Mich (E.M.H.); and Division of MR Research, Department of Radiology, Johns Hopkins University, Baltimore, Md (X.H., B.M., J.Z., M.W.)
| | - Jie Tian
- From the Department of Radiology, Henan Provincial People's Hospital & the People's Hospital of Zhengzhou University, No. 7 Weiwu Road, Zhengzhou, Henan 450003, China (Y.B., D.S., B.M., M.W.); Software Technology School of Zhengzhou University (Y.L.); Institute of Automation, Chinese Academy of Sciences, Beijing, China (J.T.); Division of MRI, First Affiliated Hospital of Zhengzhou University, Zhengzhou Henan, China (J.C.); Department of Radiology, Wayne State University, Detroit, Mich (E.M.H.); Magnetic Resonance Innovations, Detroit, Mich (E.M.H.); and Division of MR Research, Department of Radiology, Johns Hopkins University, Baltimore, Md (X.H., B.M., J.Z., M.W.)
| | - Dapeng Shi
- From the Department of Radiology, Henan Provincial People's Hospital & the People's Hospital of Zhengzhou University, No. 7 Weiwu Road, Zhengzhou, Henan 450003, China (Y.B., D.S., B.M., M.W.); Software Technology School of Zhengzhou University (Y.L.); Institute of Automation, Chinese Academy of Sciences, Beijing, China (J.T.); Division of MRI, First Affiliated Hospital of Zhengzhou University, Zhengzhou Henan, China (J.C.); Department of Radiology, Wayne State University, Detroit, Mich (E.M.H.); Magnetic Resonance Innovations, Detroit, Mich (E.M.H.); and Division of MR Research, Department of Radiology, Johns Hopkins University, Baltimore, Md (X.H., B.M., J.Z., M.W.)
| | - Jingliang Cheng
- From the Department of Radiology, Henan Provincial People's Hospital & the People's Hospital of Zhengzhou University, No. 7 Weiwu Road, Zhengzhou, Henan 450003, China (Y.B., D.S., B.M., M.W.); Software Technology School of Zhengzhou University (Y.L.); Institute of Automation, Chinese Academy of Sciences, Beijing, China (J.T.); Division of MRI, First Affiliated Hospital of Zhengzhou University, Zhengzhou Henan, China (J.C.); Department of Radiology, Wayne State University, Detroit, Mich (E.M.H.); Magnetic Resonance Innovations, Detroit, Mich (E.M.H.); and Division of MR Research, Department of Radiology, Johns Hopkins University, Baltimore, Md (X.H., B.M., J.Z., M.W.)
| | - E Mark Haacke
- From the Department of Radiology, Henan Provincial People's Hospital & the People's Hospital of Zhengzhou University, No. 7 Weiwu Road, Zhengzhou, Henan 450003, China (Y.B., D.S., B.M., M.W.); Software Technology School of Zhengzhou University (Y.L.); Institute of Automation, Chinese Academy of Sciences, Beijing, China (J.T.); Division of MRI, First Affiliated Hospital of Zhengzhou University, Zhengzhou Henan, China (J.C.); Department of Radiology, Wayne State University, Detroit, Mich (E.M.H.); Magnetic Resonance Innovations, Detroit, Mich (E.M.H.); and Division of MR Research, Department of Radiology, Johns Hopkins University, Baltimore, Md (X.H., B.M., J.Z., M.W.)
| | - Xiaohua Hong
- From the Department of Radiology, Henan Provincial People's Hospital & the People's Hospital of Zhengzhou University, No. 7 Weiwu Road, Zhengzhou, Henan 450003, China (Y.B., D.S., B.M., M.W.); Software Technology School of Zhengzhou University (Y.L.); Institute of Automation, Chinese Academy of Sciences, Beijing, China (J.T.); Division of MRI, First Affiliated Hospital of Zhengzhou University, Zhengzhou Henan, China (J.C.); Department of Radiology, Wayne State University, Detroit, Mich (E.M.H.); Magnetic Resonance Innovations, Detroit, Mich (E.M.H.); and Division of MR Research, Department of Radiology, Johns Hopkins University, Baltimore, Md (X.H., B.M., J.Z., M.W.)
| | - Bo Ma
- From the Department of Radiology, Henan Provincial People's Hospital & the People's Hospital of Zhengzhou University, No. 7 Weiwu Road, Zhengzhou, Henan 450003, China (Y.B., D.S., B.M., M.W.); Software Technology School of Zhengzhou University (Y.L.); Institute of Automation, Chinese Academy of Sciences, Beijing, China (J.T.); Division of MRI, First Affiliated Hospital of Zhengzhou University, Zhengzhou Henan, China (J.C.); Department of Radiology, Wayne State University, Detroit, Mich (E.M.H.); Magnetic Resonance Innovations, Detroit, Mich (E.M.H.); and Division of MR Research, Department of Radiology, Johns Hopkins University, Baltimore, Md (X.H., B.M., J.Z., M.W.)
| | - Jinyuan Zhou
- From the Department of Radiology, Henan Provincial People's Hospital & the People's Hospital of Zhengzhou University, No. 7 Weiwu Road, Zhengzhou, Henan 450003, China (Y.B., D.S., B.M., M.W.); Software Technology School of Zhengzhou University (Y.L.); Institute of Automation, Chinese Academy of Sciences, Beijing, China (J.T.); Division of MRI, First Affiliated Hospital of Zhengzhou University, Zhengzhou Henan, China (J.C.); Department of Radiology, Wayne State University, Detroit, Mich (E.M.H.); Magnetic Resonance Innovations, Detroit, Mich (E.M.H.); and Division of MR Research, Department of Radiology, Johns Hopkins University, Baltimore, Md (X.H., B.M., J.Z., M.W.)
| | - Meiyun Wang
- From the Department of Radiology, Henan Provincial People's Hospital & the People's Hospital of Zhengzhou University, No. 7 Weiwu Road, Zhengzhou, Henan 450003, China (Y.B., D.S., B.M., M.W.); Software Technology School of Zhengzhou University (Y.L.); Institute of Automation, Chinese Academy of Sciences, Beijing, China (J.T.); Division of MRI, First Affiliated Hospital of Zhengzhou University, Zhengzhou Henan, China (J.C.); Department of Radiology, Wayne State University, Detroit, Mich (E.M.H.); Magnetic Resonance Innovations, Detroit, Mich (E.M.H.); and Division of MR Research, Department of Radiology, Johns Hopkins University, Baltimore, Md (X.H., B.M., J.Z., M.W.)
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Schneider MJ, Cyran CC, Nikolaou K, Hirner H, Reiser MF, Dietrich O. Monitoring early response to anti-angiogenic therapy: diffusion-weighted magnetic resonance imaging and volume measurements in colon carcinoma xenografts. PLoS One 2014; 9:e106970. [PMID: 25222284 PMCID: PMC4164617 DOI: 10.1371/journal.pone.0106970] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2014] [Accepted: 08/01/2014] [Indexed: 12/17/2022] Open
Abstract
OBJECTIVES To evaluate the use of diffusion-weighted MRI (DW-MRI) and volume measurements for early monitoring of antiangiogenic therapy in an experimental tumor model. MATERIALS AND METHODS 23 athymic nude rats, bearing human colon carcinoma xenografts (HT-29) were examined before and after 6 days of treatment with regorafenib (n = 12) or placebo (n = 11) in a clinical 3-Tesla MRI. For DW-MRI, a single-shot EPI sequence with 9 b-values (10-800 s/mm2) was used. The apparent diffusion coefficient (ADC) was calculated voxelwise and its median value over a region of interest, covering the entire tumor, was defined as the tumor ADC. Tumor volume was determined using T2-weighted images. ADC and volume changes between first and second measurement were evaluated as classifiers by a receiver-operator-characteristic (ROC) analysis individually and combined using Fisher's linear discriminant analysis (FLDA). RESULTS All ADCs and volumes are stated as median±standard deviation. Tumor ADC increased significantly in the therapy group (0.76±0.09×10(-3) mm2/s to 0.90±0.12×10(-3) mm2/s; p<0.001), with significantly higher changes of tumor ADC than in the control group (0.10±0.11×10(-3) mm2/s vs. 0.03±0.09×10(-3) mm2/s; p = 0.027). Tumor volume increased significantly in both groups (therapy: 347.8±449.1 to 405.3±823.6 mm3; p = 0.034; control: 219.7±79.5 to 443.7±141.5 mm3; p<0.001), however, the therapy group showed significantly reduced tumor growth (33.30±47.30% vs. 96.43±31.66%; p<0.001). Area under the curve and accuracy of the ADC-based ROC analysis were 0.773 and 78.3%; and for the volume change 0.886 and 82.6%. The FLDA approach yielded an AUC of 0.985 and an accuracy of 95.7%. CONCLUSIONS Regorafenib therapy significantly increased tumor ADC after 6 days of treatment and also significantly reduced tumor growth. However, ROC analyses using each parameter individually revealed a lack of accuracy in discriminating between therapy and control group. The combination of both parameters using FLDA substantially improved diagnostic accuracy, thus highlighting the potential of multi-parameter MRI as an imaging biomarker for non-invasive early tumor therapy monitoring.
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Affiliation(s)
- Moritz Jörg Schneider
- Josef Lissner Laboratory for Biomedical Imaging, Institute for Clinical Radiology, Ludwig-Maximilians-University Hospital Munich, Munich, Germany
- * E-mail:
| | - Clemens Christian Cyran
- Laboratory for Experimental Radiology, Institute for Clinical Radiology, Ludwig-Maximilians-University Hospital Munich, Munich, Germany
| | - Konstantin Nikolaou
- Laboratory for Experimental Radiology, Institute for Clinical Radiology, Ludwig-Maximilians-University Hospital Munich, Munich, Germany
- Department of Diagnostic and Interventional Radiology, University Hospital Tübingen, Tübingen, Germany
| | - Heidrun Hirner
- Laboratory for Experimental Radiology, Institute for Clinical Radiology, Ludwig-Maximilians-University Hospital Munich, Munich, Germany
| | - Maximilian F. Reiser
- Josef Lissner Laboratory for Biomedical Imaging, Institute for Clinical Radiology, Ludwig-Maximilians-University Hospital Munich, Munich, Germany
- Laboratory for Experimental Radiology, Institute for Clinical Radiology, Ludwig-Maximilians-University Hospital Munich, Munich, Germany
| | - Olaf Dietrich
- Josef Lissner Laboratory for Biomedical Imaging, Institute for Clinical Radiology, Ludwig-Maximilians-University Hospital Munich, Munich, Germany
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