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Yan BC, Xiao ML, Li Y, Wei Qiang J. The diagnostic performance of ADC value for tumor grade, deep myometrial invasion and lymphovascular space invasion in endometrial cancer: a meta-analysis. Acta Radiol 2019; 60:284185119841988. [PMID: 31042066 DOI: 10.1177/0284185119841988] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
BACKGROUND Disputes exist regarding whether the apparent diffusion coefficient (ADC) can differentiate the tumor grade, deep myometrial invasion and lymphovascular space invasion (LVSI) in endometrial cancer. The aim of this review was to assess the diagnostic performance of the ADC value in endometrial cancer. MATERIAL AND METHODS The PubMed, Web of Science, Embase and Cochrane Library databases were searched for studies that used the ADC value to assess tumor grade, deep myometrial invasion and LVSI in endometrial cancer. We used forest plots to analyze the heterogeneity and generate the pooled sensitivity (SEN) and specificity (SPE). We used summary receiver operating characteristic (SROC) curves to work out the area under the SROC curve (AUC). Likelihood ratios (LRs) were also obtained. RESULTS Of the 460 identified studies, 11 studies met our inclusion criteria and were included. Overall, nine studies (491 patients) aimed at differentiating high tumor grade had a pooled SEN, SPE and AUC of 77%, 73% and 81%, respectively; three studies (181 patients) for differentiating deep myometrial invasion had a pooled SEN, SPE and AUC of 71%, 67% and 77%, respectively; and two studies (106 patients) for differentiating LVSI had a pooled SEN and SPE of 66% and 74%, respectively. The positive and negative LRs were 2.77 and 0.35 for the tumor grade, 2.08 and 0.45 for deep myometrial invasion, and 2.48 and 0.45 for LVSI. CONCLUSION This meta-analysis showed that the ADC value had a moderate diagnostic performance for the tumor grade, deep myometrial invasion and LVSI in endometrial cancer.
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Affiliation(s)
- Bi Cong Yan
- Department of Radiology, Jinshan Hospital, Fudan University, Shanghai, China
| | - Mei Ling Xiao
- Department of Radiology, Jinshan Hospital, Fudan University, Shanghai, China
| | - Ying Li
- Department of Radiology, Jinshan Hospital, Fudan University, Shanghai, China
| | - Jin Wei Qiang
- Department of Radiology, Jinshan Hospital, Fudan University, Shanghai, China
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Goerke S, Soehngen Y, Deshmane A, Zaiss M, Breitling J, Boyd PS, Herz K, Zimmermann F, Klika KD, Schlemmer H, Paech D, Ladd ME, Bachert P. Relaxation‐compensated APT and rNOE CEST‐MRI of human brain tumors at 3 T. Magn Reson Med 2019; 82:622-632. [DOI: 10.1002/mrm.27751] [Citation(s) in RCA: 34] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2019] [Revised: 02/27/2019] [Accepted: 03/02/2019] [Indexed: 12/12/2022]
Affiliation(s)
- Steffen Goerke
- Division of Medical Physics in Radiology German Cancer Research Center Heidelberg Germany
| | - Yannick Soehngen
- Division of Medical Physics in Radiology German Cancer Research Center Heidelberg Germany
- Faculty of Physics and Astronomy University of Heidelberg Heidelberg Germany
| | - Anagha Deshmane
- Department of High‐Field Magnetic Resonance Max‐Planck‐Institute for Biological Cybernetics Tübingen Germany
| | - Moritz Zaiss
- Department of High‐Field Magnetic Resonance Max‐Planck‐Institute for Biological Cybernetics Tübingen Germany
| | - Johannes Breitling
- Division of Medical Physics in Radiology German Cancer Research Center Heidelberg Germany
- Faculty of Physics and Astronomy University of Heidelberg Heidelberg Germany
- Max‐Planck‐Institute for Nuclear Physics Heidelberg Germany
| | - Philip S. Boyd
- Division of Medical Physics in Radiology German Cancer Research Center Heidelberg Germany
- Faculty of Physics and Astronomy University of Heidelberg Heidelberg Germany
| | - Kai Herz
- Department of High‐Field Magnetic Resonance Max‐Planck‐Institute for Biological Cybernetics Tübingen Germany
| | - Ferdinand Zimmermann
- Division of Medical Physics in Radiology German Cancer Research Center Heidelberg Germany
- Faculty of Physics and Astronomy University of Heidelberg Heidelberg Germany
| | - Karel D. Klika
- Molecular Structure Analysis German Cancer Research Center Heidelberg Germany
| | - Heinz‐Peter Schlemmer
- Department of Radiology German Cancer Research Center Heidelberg Germany
- Faculty of Medicine University of Heidelberg Heidelberg Germany
| | - Daniel Paech
- Department of Radiology German Cancer Research Center Heidelberg Germany
| | - Mark E. Ladd
- Division of Medical Physics in Radiology German Cancer Research Center Heidelberg Germany
- Faculty of Physics and Astronomy University of Heidelberg Heidelberg Germany
- Faculty of Medicine University of Heidelberg Heidelberg Germany
| | - Peter Bachert
- Division of Medical Physics in Radiology German Cancer Research Center Heidelberg Germany
- Faculty of Physics and Astronomy University of Heidelberg Heidelberg Germany
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53
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He Y, Li Y, Lin C, Qi Y, Wang X, Zhou H, Yang J, Xiang Y, Xue H, Jin Z. Three‐dimensional turbo‐spin‐echo amide proton transfer‐weighted mri for cervical cancer: A preliminary study. J Magn Reson Imaging 2019; 50:1318-1325. [DOI: 10.1002/jmri.26710] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2018] [Revised: 02/20/2019] [Accepted: 02/21/2019] [Indexed: 12/24/2022] Open
Affiliation(s)
- Yong‐Lan He
- Department of Radiology, Peking Union Medical College HospitalPeking Union Medical College and Chinese Academy of Medical Sciences Beijing PR China
| | - Yuan Li
- Department of OB&GYN, Peking Union Medical College HospitalPeking Union Medical College and Chinese Academy of Medical Sciences Beijing PR China
| | - Cheng‐Yu Lin
- Department of Radiology, Peking Union Medical College HospitalPeking Union Medical College and Chinese Academy of Medical Sciences Beijing PR China
| | - Ya‐Fei Qi
- Department of Radiology, Peking Union Medical College HospitalPeking Union Medical College and Chinese Academy of Medical Sciences Beijing PR China
| | | | - Hai‐Long Zhou
- Department of Radiology, Peking Union Medical College HospitalPeking Union Medical College and Chinese Academy of Medical Sciences Beijing PR China
| | - Jun‐Jun Yang
- Department of OB&GYN, Peking Union Medical College HospitalPeking Union Medical College and Chinese Academy of Medical Sciences Beijing PR China
| | - Yang Xiang
- Department of OB&GYN, Peking Union Medical College HospitalPeking Union Medical College and Chinese Academy of Medical Sciences Beijing PR China
| | - Hua‐Dan Xue
- Department of Radiology, Peking Union Medical College HospitalPeking Union Medical College and Chinese Academy of Medical Sciences Beijing PR China
| | - Zheng‐Yu Jin
- Department of Radiology, Peking Union Medical College HospitalPeking Union Medical College and Chinese Academy of Medical Sciences Beijing PR China
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54
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Qamar S, King AD, Ai QY, Law BKH, Chan JSM, Poon DMC, Tong M, Mo FKF, Chen W, Bhatia KS, Ahuja AT, Ma BBY, Yeung DKW, Wang YX, Yuan J. Amide proton transfer MRI detects early changes in nasopharyngeal carcinoma: providing a potential imaging marker for treatment response. Eur Arch Otorhinolaryngol 2018; 276:505-512. [DOI: 10.1007/s00405-018-5231-x] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2018] [Accepted: 11/28/2018] [Indexed: 01/05/2023]
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55
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Li B, Sun H, Zhang S, Wang X, Guo Q. Amide proton transfer imaging to evaluate the grading of squamous cell carcinoma of the cervix: A comparative study using 18 F FDG PET. J Magn Reson Imaging 2018; 50:261-268. [PMID: 30430677 DOI: 10.1002/jmri.26572] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2018] [Revised: 10/25/2018] [Accepted: 10/27/2018] [Indexed: 12/24/2022] Open
Abstract
BACKGROUND Amide proton transfer (APT) imaging has shown great potential value in the diagnosis of cancer, but has yet not been applied in cervical carcinoma patients. PURPOSE To investigate the utility of APT imaging in estimating histologic grades of squamous cell carcinoma of the cervix (SCCC), compared with the standardized uptake value (SUV). STUDY TYPE Prospective. POPULATION Thirty-one patients with SCCC (median age 51 years) were included. FIELD STRENGTH/SEQUENCE Ingenia 3.0 T CX, Axial T1 -weighted imaging (T1 WI), Axial T2 WI, 3D turbo spin echo sequence for APT imaging. ASSESSMENT Patient pathology was confirmed by surgery and the patients were divided into three groups based on histologic grades: Grade 1 (n = 9), Grade 2 (n = 12), and Grade 3 (n = 10). The APT signal intensity (APT SI), maximum SUV (SUVmax ) and mean SUV (SUVmean ) for each grade were assessed by experienced radiologists in a blinded manner. STATISTICAL TESTS The obtained parameters were compared by one-way analysis of variance with Tukey honest significant difference post-hoc test. The correlations between the parameters and histologic grades were analyzed by Spearman's correlation coefficient. The Pearson correlation coefficients of the APT SI with the SUVmax and SUVmean were also calculated. RESULTS The APT SIs for the three grades were significantly different (P = 0.0002). The APT SIs of Grade 2 and Grade 3 had significant differences (P = 0.009). The Spearman correlation coefficients for the correlations between the parameters and histological grade were as follows: APT SI: 0.684 (P = 0.00002), SUVmax : 0.318 (P = 0.082), and SUVmean : 0.261 (P = 0.157). The Pearson correlation coefficients of the APT SI with the SUVmax and SUVmean were 0.108 (P = 0.564) and 0.178 (P = 0.337), respectively. DATA CONCLUSION The APT SI was positively correlated with the SCCC grades. APT imaging maybe a promising method for predicting SCCC histologic grades. LEVEL OF EVIDENCE 2 Technical Efficacy: Stage 2 J. Magn. Reson. Imaging 2019;50:261-268.
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Affiliation(s)
- Beibei Li
- Department of Radiology, Shengjing Hospital of China Medical University, Shenyang, PRC
| | - Hongzan Sun
- Department of Radiology, Shengjing Hospital of China Medical University, Shenyang, PRC
| | - Siyu Zhang
- Department of Radiology, Shengjing Hospital of China Medical University, Shenyang, PRC
| | - Xiaoqi Wang
- Philips Healthcare, World Profit Centre, Chaoyang District, Beijing, PRC
| | - Qiyong Guo
- Department of Radiology, Shengjing Hospital of China Medical University, Shenyang, PRC
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56
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Jiang S, Eberhart CG, Lim M, Heo HY, Zhang Y, Blair L, Wen Z, Holdhoff M, Lin D, Huang P, Qin H, Quinones-Hinojosa A, Weingart JD, Barker PB, Pomper MG, Laterra J, van Zijl PCM, Blakeley JO, Zhou J. Identifying Recurrent Malignant Glioma after Treatment Using Amide Proton Transfer-Weighted MR Imaging: A Validation Study with Image-Guided Stereotactic Biopsy. Clin Cancer Res 2018; 25:552-561. [PMID: 30366937 DOI: 10.1158/1078-0432.ccr-18-1233] [Citation(s) in RCA: 100] [Impact Index Per Article: 16.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2018] [Revised: 09/06/2018] [Accepted: 10/22/2018] [Indexed: 12/13/2022]
Abstract
PURPOSE To quantify the accuracy of amide proton transfer-weighted (APTw) MRI for identifying active glioma after treatment via radiographically guided stereotactic tissue validation.Experimental Design: Twenty-one patients who were referred for surgery for MRI features concerning for tumor progression versus treatment effect underwent preoperative APTw imaging. Stereotactic biopsy samples were taken from regions of interest with varying APTw signal intensities. The relationship between final clinical pathology and the histopathology of each of the 64 specimens was analyzed relative to APTw results. Analysis of confirmed recurrent tumor or treatment effect tissue was used to perform ROC analysis. RESULTS Eighteen of 21 patients had recurrent tumor, and 3 had treatment effect on clinical pathology. In 12 patients, there were multiple histopathologic assignments confirmed within the same tumor. Of the 64 total specimens, 20 specimens were active glioma, 27 mixed active and quiescent glioma, and 17 quiescent/no identifiable tumor. APTw signal intensity and histopathologic assignment, cellularity, and proliferation index had significant positive correlations (R = 0.651, 0.580, and 0.458, respectively; all P < 0.001). ROC analysis with a 1.79% APTw intensity cutoff differentiated active from nonactive tumor (AUC of 0.881) with 85.1% sensitivity and 94.1% specificity. Analysis of clinical pathology showed the mean APTw intensity for each patient had 94.4% sensitivity and 100% positive predictive value for identifying recurrent glioma at this cutoff. CONCLUSIONS APTw imaging hyperintensity may be a marker of active malignant glioma. It is able to distinguish between regions of heterogeneous abnormality on anatomic brain MRI with high sensitivity and specificity.
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Affiliation(s)
- Shanshan Jiang
- Department of Radiology, Johns Hopkins University, Baltimore, Maryland
| | | | - Michael Lim
- Department of Neurosurgery, Johns Hopkins University, Baltimore, Maryland
| | - Hye-Young Heo
- Department of Radiology, Johns Hopkins University, Baltimore, Maryland
| | - Yi Zhang
- Department of Radiology, Johns Hopkins University, Baltimore, Maryland
| | - Lindsay Blair
- Department of Neurology, Johns Hopkins University, Baltimore, Maryland
| | - Zhibo Wen
- Department of Radiology, Zhujiang Hospital, Southern Medical University, Guangzhou, Guangdong, China
| | - Matthias Holdhoff
- Department of Oncology, Johns Hopkins University, Baltimore, Maryland
| | - Doris Lin
- Department of Radiology, Johns Hopkins University, Baltimore, Maryland
| | - Peng Huang
- Department of Oncology, Johns Hopkins University, Baltimore, Maryland
| | - Huamin Qin
- Department of Pathology, Johns Hopkins University, Baltimore, Maryland
| | | | - Jon D Weingart
- Department of Neurosurgery, Johns Hopkins University, Baltimore, Maryland
| | - Peter B Barker
- Department of Radiology, Johns Hopkins University, Baltimore, Maryland
| | - Martin G Pomper
- Department of Radiology, Johns Hopkins University, Baltimore, Maryland
| | - John Laterra
- Department of Neurology, Johns Hopkins University, Baltimore, Maryland.,Department of Oncology, Johns Hopkins University, Baltimore, Maryland.,Department of Neuroscience, Johns Hopkins University, Baltimore, Maryland.,F.M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, Maryland
| | - Peter C M van Zijl
- Department of Radiology, Johns Hopkins University, Baltimore, Maryland.,F.M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, Maryland
| | | | - Jinyuan Zhou
- Department of Radiology, Johns Hopkins University, Baltimore, Maryland. .,F.M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, Maryland
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57
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Kamimura K, Nakajo M, Yoneyama T, Takumi K, Kumagae Y, Fukukura Y, Yoshiura T. Amide proton transfer imaging of tumors: theory, clinical applications, pitfalls, and future directions. Jpn J Radiol 2018; 37:109-116. [DOI: 10.1007/s11604-018-0787-3] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2018] [Accepted: 10/10/2018] [Indexed: 12/16/2022]
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58
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Ma X, Huang X, Chen C, Ding Y. A Preliminary Report Requiring Continuation of Research to Confirm Fallopian Tube Adenocarcinoma: A Non-Experimental, Non-Randomized, Cross-Sectional Study. Med Sci Monit 2018; 24:5301-5308. [PMID: 30059956 PMCID: PMC6080584 DOI: 10.12659/msm.909661] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/09/2023] Open
Abstract
Background Transvaginal ultrasound has fair characteristics, and pathology is an invasive technique for fallopian tube tumor diagnosis. Magnetic resonance images have better intra- and inter-observer reliabilities for detection of primary fallopian tube malignant tumor(s) than the other diagnostic modalities. The purpose of this study was to investigate parameters of different types of magnetic resonance images for women with fallopian tube adenocarcinoma and to compare these parameters with the FIGO grading system to improve the accuracy of diagnosis and prognosis. Material/Methods A total of 121 women who had clinically-proven fallopian tube adenocarcinoma were included in this cross-sectional study. A 3.0 T magnetic resonance images system was used for spin-lattice relaxation-weighted (T1WI), spin-spin relaxation-weighted (T2WI), diffusion-weighted, (DWI), and apparent diffusion coefficient (ADC) images. ANOVA following Tukey post hoc tests and Spearman rank correlation were performed at 99% confidence level. Results Axial T1WI, axial T2WI, and axial DWI, were provided low, intermediate, and high fluid signal intensity, respectively, for a tumor. Sagittal T1WI showed contrast uptake by the mass with necrosis. Sagittal T2WI showed a solid mass with well-defined walls. Sagittal DWI showed restriction to diffusion. ADC values were significantly higher for FIGO grade 1 women than for FIGO grade 3 women (p<0.0001, q=16.591). The Spearman correlation coefficient was 0.1012 between mean ADC and FIGO grading. Conclusions We recommend that magnetic resonance images be included in the FIGO guideline for grading of malignancies in the female genital tract.
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Affiliation(s)
- Xiaomin Ma
- Department of Radiology, Maternal and Child Health Care Hospital, Xiamen, Fujian, China (mainland)
| | - Xinfa Huang
- Department of Radiology, Maternal and Child Health Care Hospital, Xiamen, Fujian, China (mainland)
| | - Chunhua Chen
- Department of Radiotherapy, Maternal and Child Health Care Hospital, Xiamen, Fujian, China (mainland)
| | - Yaling Ding
- Department of Radiotherapy, Maternal and Child Health Care Hospital, Xiamen, Fujian, China (mainland)
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