scholarly journals Comparative study of diagnostic value between IVIM and DWI for prostate cancer at 3.0 T magnetic resonance

2021 ◽  
Author(s):  
Rui Wang ◽  
Weidong Liu ◽  
Fang Ren ◽  
Jing Ren
Keyword(s):  
Prostate Cancer ◽  
Differential Diagnosis ◽  
Diffusion Coefficient ◽  
Apparent Diffusion Coefficient ◽  
Diagnostic Value ◽  
Diagnostic Efficiency ◽  
Diagnostic Efficacy ◽  
Adc Value ◽  
Multiple Parameters ◽  
Apparent Diffusion

Abstract Objective To quantitatively compare the diagnostic and differential diagnostic value of intra-voxel incoherent motion imaging (IVIM) and diffusion weighted imaging (DWI) for prostate cancer (PCa) and benign prostatic hyperplasia (BPH). Methods 68 cases of prostate confirmed by pathology, including 33 cases of PCa and 35 cases of BPH were analyzed retrospectively. All patients were underwent T1WI, T2WI, DWI and IVIM sequences to obtain the apparent diffusion coefficient (ADC), pure apparent diffusion coefficient (Pure-ADC/D), standard apparent diffusion coefficient (standard-ADC/Ds), fast apparent diffusion coefficient (fast-ADC/D*), fraction of fast apparent diffusion coefficient (f) values. All the multiple parameters were statistically analyzed for the differential diagnosis of BPH and PCa. P < 0.05 was considered as statistically significant. Results The differences in D, Ds, f and ADC values between BPH and PCa groups were statistically significant (all P values < 0.001), respectively. Among them, D value in the IVIM model had the highest diagnostic efficiency for PCa, the area under the curve (AUC) was 0.967, and the AUC combined with the ADC value and D value reaches 0.973. Conclusion The diagnostic efficacy of multiple parameters in the IVIM model for PCa was higher than the ADC value of the quantitative parameter of DWI. D value had the highest diagnostic efficiency. The combined diagnosis of ADC and D value was more effective, more advantageous in the diagnosis and differential diagnosis of PCa.

scholarly journals Assessment of Apparent Diffusion Coefficient Values as Predictor of Aggressiveness in Peripheral Zone Prostate Cancer: Comparison with Gleason Score

2014 ◽  
Vol 2014 ◽  
pp. 1-7 ◽  
Author(s):  
Shayan Sirat Maheen Anwar ◽  
Zahid Anwar Khan ◽  
Rana Shoaib Hamid ◽  
Fahd Haroon ◽  
Raza Sayani ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Diffusion Coefficient ◽  
Apparent Diffusion Coefficient ◽  
Gleason Score ◽  
Case Series ◽  
Adc Value ◽  
Apparent Diffusion Coefficient Values ◽  
Apparent Diffusion Coefficient Value ◽  
Apparent Diffusion ◽  
Adc Values

Purpose. To determine association between apparent diffusion coefficient value on diffusion-weighted imaging and Gleason score in patients with prostate cancer. Methods. This retrospective case series was conducted at Radiology Department of Aga Khan University between June 2009 and June 2011. 28 patients with biopsy-proven prostate cancer were included who underwent ultrasound guided sextant prostate biopsy and MRI. MRI images were analyzed on diagnostic console and regions of interest were drawn. Data were entered and analyzed on SPSS 20.0. ADC values were compared with Gleason score using one-way ANOVA test. Results. In 28 patients, 168 quadrants were biopsied and 106 quadrants were positive for malignancy. 89 lesions with proven malignancy showed diffusion restriction. The mean ADC value for disease with a Gleason score of 6 was 935 mm2/s (SD=248.4 mm2/s); Gleason score of 7 was 837 mm2/s (SD=208.5 mm2/s); Gleason score of 8 was 614 mm2/s (SD=108 mm2/s); and Gleason score of 9 was 571 mm2/s (SD=82 mm2/s). Inverse relationship was observed between Gleason score and mean ADC values. Conclusion. DWI and specifically quantitative ADC values may help differentiate between low-risk (Gleason score, 6), intermediate-risk (Gleason score, 7), and high-risk (Gleason score 8 and 9) prostate cancers, indirectly determining the aggressiveness of the disease.

scholarly journals The diagnostic value of apparent diffusion coefficient to differentiate benign and malignant meningiomas

2021 ◽  
Vol 40 (2) ◽  
pp. 141-150
Author(s):  
Risa Marissa ◽  
Rachmi Fauziah Rahayu ◽  
Hari Wujoso ◽  
Subandi Subandi ◽  
Prasetyo Sarwono Putro ◽  
...  
Keyword(s):  
Diffusion Coefficient ◽  
Apparent Diffusion Coefficient ◽  
Predictive Value ◽  
Diagnostic Value ◽  
Cross Sectional Study ◽  
High Morbidity ◽  
Cross Sectional ◽  
Adc Value ◽  
Flair Sequence ◽  
Apparent Diffusion

BACKGROUNDMeningiomas are the most common primary extra-axial non-glial intracranial tumors. The severe grade of meningioma, according to WHO, has the highest recurrence rate accompanied by high morbidity and mortality rates. Therefore, it is imperative to perform pre-operative assessments so the clinician can give prompt treatment to gain a better prognosis. It is a novel alternative way of predicting meningioma’s malignancy by calculating the tumor’s apparent diffusion coefficient (ADC) value. The objective of the study was to determine the value of ADC for differentiating benign and malignant meningiomas. METHODSThis cross-sectional study involved 32 subjects with clinically diagnosed or histologically verified meningioma (21 benign and 11 malignant). They underwent a head-magnetic resonance imaging (MRI) examination and biopsy. We calculated the ADC value by creating regions of interest (ROIs) on the solid part of the tumor, guided by contrast and fluid-attenuated inversion recovery (FLAIR) sequence. We analyzed the ADC value with independent t-test and Bland-Altman graphs, calculated the average difference, CI 95%, limit of agreement between observers, and ROC. RESULTSMean ADC of malignant meningiomas (0.877 ± 0.167 x 10-3 mm2/s) was significantly lower than that of benign meningiomas (0.990 ± 0.105 x 10-3 mm2/s) (p<0.05). The ADC threshold is 0.886 x 10-3 mm2/s with sensitivity 63.6%, specificity 85.7%, positive predictive value 70% and negative predictive value 81.8%. CONCLUSIONThe ADC value measurement provides a discriminative feature to differentiate between benign and malignant meningiomas. However, the clinical applicability still needs to be elucidated, as histopathological confirmation remains the mainstay of definitive diagnosis.

scholarly journals Whole-tumor histogram analysis of apparent diffusion coefficient maps in grading diagnosis of ependymoma

2020 ◽  
Vol 2 (3-4) ◽  
pp. 41-46
Author(s):  
Huiyu Huang ◽  
Yong Zhang ◽  
Jingliang Cheng ◽  
Mengmeng Wen
Keyword(s):  
Diffusion Coefficient ◽  
Apparent Diffusion Coefficient ◽  
Sensitivity And Specificity ◽  
Histogram Analysis ◽  
Diagnostic Efficiency ◽  
Diagnostic Efficacy ◽  
Who Grade ◽  
Significant Difference ◽  
Apparent Diffusion ◽  
Apparent Diffusion Coefficient Maps

Abstract Objective To study the value of whole-tumor histogram analysis which is based on apparent diffusion coefficient maps in grading diagnosis of ependymoma. Methods 71 patients with ependymal tumors were retrospectively analyzed, including 13 cases of WHO grade I, 28 cases of WHO grade II, and 30 cases of WHO grade III. Mazda software was used to draw the region of interest (ROI) in the apparent diffusion coefficient maps of three groups on every layer of tumor level. The whole-tumor gray histogram analysis was carried to obtained nine characteristic parameters, including mean, variance, kurtosis, skewness, Perc.01%, Perc.10%, Perc.50%, Perc.90%, and Perc.99%. When the parameters satisfy the test of normal distribution and homogeneity of variance, single factor analysis of variance (ANOVA) was carried to compare the three groups and LSD t test was performed to compare the two groups. Besides, the ROC curve was used to analyze the diagnostic efficacy of the parameters. Results Variance, Perc.01%, and Perc.10% had significant differences among the three groups (all P < 0.05). The remaining six parameters had no significant difference among the three groups (all P > 0.05). And, between WHO I and WHO II, the sensitivity and specificity of the Perc.10% were 85.7% and 100.0%, the AUC was 0.872, and the cut-off was 126.5. Between WHO I and WHO III, the sensitivity and specificity of the Perc.10% were 85.7% and 87.7%, the AUC was 0.835, and the optimum critical value was 131.33. Besides, the sensitivity, specificity, and AUC of variance between WHO II and WHO III are 68.4%, 76.9%, 0.794, and 2645.7, respectively. They had higher identification efficiency. Conclusion Whole-tumor histogram analysis of apparent diffusion coefficient (ADC) maps could provide ancillary diagnostic value in grading diagnosis of ependymoma. Perc.10% had a high diagnostic efficiency.

scholarly journals Nomograms of Combining Apparent Diffusion Coefficient Value and Radiomics for Preoperative Risk Evaluation in Endometrial Carcinoma

2021 ◽  
Vol 11 ◽  
Author(s):  
Kaiyue Zhang ◽  
Yu Zhang ◽  
Xin Fang ◽  
Mengshi Fang ◽  
Bin Shi ◽  
...  
Keyword(s):  
Diffusion Coefficient ◽  
Apparent Diffusion Coefficient ◽  
Endometrial Carcinoma ◽  
Area Under The Curve ◽  
Myometrial Invasion ◽  
Diagnostic Efficiency ◽  
Preoperative Risk ◽  
Adc Value ◽  
Apparent Diffusion Coefficient Value ◽  
Apparent Diffusion

ObjectivesTo evaluate the value of nomogram models combining apparent diffusion coefficient (ADC) value and radiomic features on magnetic resonance imaging (MRI) in predicting the type, grade, deep myometrial invasion (DMI), lymphovascular space invasion (LVSI), and lymph node metastasis (LNM) of endometrial carcinoma (EC) preoperatively.MethodsThis study included 210 EC patients. ADC value was calculated, and radiomic features were measured on T2-weighted images. The univariate and multivariate logistic regressions and cross-validations were performed to reduce valueless features, then radiomics signatures were developed. Nomogram models using ADC combined with radiomic features were developed in the training cohort. The receiver operating characteristic (ROC) curve was performed to estimate the diagnostic efficiency of nomogram models by the area under the curve (AUC) in the training and validation cohorts.ResultsThe ADC value was significantly different between each subgroup. Radiomic features were ultimately limited to four features for type, six features for grade, six features for DMI, four features for LVSI, and eight features for LNM for the nomogram models. The AUC of the nomogram model combining ADC value and radiomic features in the training and validation cohorts was 0.851 and 0.867 for type, 0.959 and 0.880 for grade, 0.839 and 0.766 for DMI, 0.816 and 0.746 for LVSI, and 0.910 and 0.897 for LNM.ConclusionsThe nomogram models of ADC value combined with radiomic features were associated with the type, grade, DMI, LVSI, and LNM of EC, and provide an effective, non-invasive method to evaluate preoperative risk stratification for EC.

scholarly journals Discrimination between clinical significant and insignificant prostate cancer with Apparent diffusion coefficient – A systematic review and meta analysis

2020 ◽  
Author(s):  
Hans-Jonas Meyer ◽  
Andreas Wienke ◽  
Alexey Surov
Keyword(s):  
Prostate Cancer ◽  
Systematic Review ◽  
Diffusion Coefficient ◽  
Apparent Diffusion Coefficient ◽  
Gleason Score ◽  
Adc Value ◽  
Apparent Diffusion ◽  
Adc Values ◽  
Clinically Significant ◽  
Insignificant Prostate Cancer

Abstract Background Multiparametric MRI has become a corner stone in diagnosis of prostate cancer (PC). Diffusion weighted imaging and the apparent diffusion coefficient (ADC) can be used to reflect tumor microstructure. The present analysis sought to compare ADC values of clinically insignificant with clinical significant PC based upon a large patient sample. Methods MEDLINE library and SCOPUS databases were screened for the associations between ADC and Gleason score in PC up to May 2019. The primary endpoint of the systematic review was the ADC value of PC groups according to Gleason score. In total 27 studies were suitable for the analysis and included into the present study. The included studies comprised a total of 1633 lesions. Results Clinically relevant PCs (Gleason score 7 and higher) were diagnosed in 1078 cases (66.0%) and insignificant PCs (Gleason score 5 and 6) in 555 cases (34.0%). The pooled mean ADC value of the clinically significant PC was 0.86x10-3 mm2/s [95% CI 0.83-0.90] and the pooled mean value of insignificant PC was 1.1 x10-3 mm2/s [95% CI 1.03-1.18]. Clinical significant PC showed lower ADC values compared to non-significant PC. The pooled ADC values of clinically insignificant PCs were no lower than 0.75 ×10-3 mm2/s. This value may be proposed as a threshold for distinguishing clinically significant from insignificant PCs. Conclusions We evaluated the published literature comparing clinical insignificant with clinically prostate cancer in regard of the Apparent diffusion coefficient values derived from magnetic resonance imaging. We identified that the clinically insignificant prostate cancer have lower ADC values than clinically significant, which may aid in tumor noninvasive tumor characterization in clinical routine.

Apparent Diffusion Coefficient (ADC) Value on MR Imaging as a Marker of Treatment Response in Prostate Cancer

2012 ◽  
Vol 84 (3) ◽  
pp. S670
Author(s):  
G. Mallarajapatna ◽  
P.S. Sridhar ◽  
R.K. Nagaraj ◽  
D. Indresh ◽  
S. Shivkumar ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Diffusion Coefficient ◽  
Mr Imaging ◽  
Apparent Diffusion Coefficient ◽  
Treatment Response ◽  
Adc Value ◽  
Apparent Diffusion

scholarly journals Apparent Diffusion Coefficient Measurement in Mediastinal Lymphadenopathies: Differentiation between Benign and Malignant Lesions

2017 ◽  
Vol 7 ◽  
pp. 12 ◽  
Author(s):  
Fethi Emre Ustabasioglu ◽  
Cesur Samanci ◽  
Deniz Alis ◽  
Nilay Sengul Samanci ◽  
Osman Kula ◽  
...  
Keyword(s):  
Diffusion Coefficient ◽  
Apparent Diffusion Coefficient ◽  
Predictive Value ◽  
Area Under The Curve ◽  
Threshold Value ◽  
Diagnostic Value ◽  
Mediastinal Lymphadenopathy ◽  
Adc Value ◽  
Apparent Diffusion ◽  
Adc Values

Objectives:We aimed to prospectively assess the diagnostic value of apparent diffusion coefficient (ADC) measurement in the differentiation of benign and malignant mediastinal lymphadenopathies.Materials and Methods:The study included 63 consecutive patients (28 women, 35 men; mean age 59.3 years) with 125 mediastinal lymphadenopathies. Echoplanar diffusion-weighted magnetic resonance imaging of the mediastinum was performed with b-factors of 0 and 600 mm2/s before mediastinoscopy and mediastinotomy, and ADC values were measured. The ADC values were compared with the histological results, and statistical analysis was done.P< 0.05 was considered statistically significant.Results:The mean ADC value of malignant mediastinal lymphadenopathy (1.030 ± 0.245 × 10−3mm2/s) was significantly lower (P< 0.05) when compared to benign lymphadenopathies (1.571 ± 0.559 × 10−3mm2/s). For differentiating malignant from benign mediastinal lymphadenopathy, the best result was obtained when an ADC value of 1.334 × 10−3mm2/s was used as a threshold value; area under the curve 0.848, accuracy 78.4%, sensitivity 66%, specificity of 86%, positive predictive value 76.7%, and negative predictive value of 79.2%. Interobserver agreement was excellent for ADC measurements.Conclusions:ADC measurements could be considered an important supportive method in differentiating benign from malignant mediastinal lymphadenopathies.

scholarly journals The Value of Apparent Diffusion Coefficient in Differential Diagnosis of Ovarian Cystic Adenoid Tumors

2019 ◽  
Vol 3 (2) ◽  
Author(s):  
Lin Sun ◽  
Ruirui Xu ◽  
Wei Yan ◽  
Meng Zhao ◽  
Fei Chen
Keyword(s):  
Differential Diagnosis ◽  
Diffusion Coefficient ◽  
Apparent Diffusion Coefficient ◽  
Region Of Interest ◽  
Adc Value ◽  
Significant Difference ◽  
Apparent Diffusion ◽  
Diagnostic Values ◽  
Mucinous Cystadenomas ◽  
3.0T Mri

Objective: To quantitatively analyze apparent diffusion coefficient (ADC) value of cystic composition and solid composition in ovarian cystadenocarcinoma, borderline cystadenoma and cystadenoma by 3.0T magnetic resonance imaging (MRI), and to investigate its diagnostic and differential diagnostic values in ovarian cystic adenoid tumors. Methods: Retrospective analysis was carried out on 28 patients with ovarian cystic adenoid tumor as confirmed by surgical and pathological examinations. Examination was performed by Siemens 3.0T MRI scanner. Tumor size, margin, composition (cystic or solid), signal characteristic and presence of ascites were observed. Combined with localization using T2WI and diffusion weighted imaging (DWI), ADC value was calculated from ADC mapping using region of interest ROI (the largest surface area of cystic and solid compositions in tumor). Statistical analysis was performed. Results: Among the 28 ovarian tumors, there were 13 cases of cystadenomas (5 serous cystadenomas and 9 mucinous cystadenomas), 4 borderline mucinous cystadenomas and 11 cystadenocarcinoma (9 serous cystadenocarcinoma and 2 mucinous cystadenocarcinoma). There was no significant intragroup difference in ADC values of cystic composition and solid composition in ovarian cystadenoma and cystadenocarcinoma respectively (P>0.05). The ADC value of solid composition between benign cystadenoma and borderline cystadenoma (P<0.05) showed statistically significantly difference. The difference in ADC value of solid composition between benign cystadenoma and cystadenocarcinoma was also statistically significant (P<0.05). There was no significant difference in ADC value of cystic composition between benign cystadenoma, borderline cystadenoma and cystadenocarcinoma (P>0.05). Conclusion: Quantitative analysis of ADC value of solid composition using 3.0T MRI has great value in differential diagnosis of benign and malignant ovarian cystic adenoid tumors. Its combination with conventional MRI method can improve the accuracy of diagnosis of ovarian cystic adenoid tumors.

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