scholarly journals Evaluation of apparent diffusion coefficient in endometrial carcinoma compared to normal endometrium: a retrospective study

2021 ◽  
Author(s):  
Anu Sarah Easo ◽  
Rajeev Anand ◽  
Mini Issac
Keyword(s):  
Diffusion Coefficient ◽  
Endometrial Cancer ◽  
Retrospective Study ◽  
Apparent Diffusion Coefficient ◽  
Normal Endometrium ◽  
Adc Value ◽  
Significant Difference ◽  
Apparent Diffusion ◽  
Adc Values ◽  
Endometrial Cancers

Background: To determine whether diffusion-weighted imaging (DWI) with measurement of apparent diffusion coefficient (ADC) will help in differentiating endometrial cancer from normal endometrium and to determine whether the grades of endometrial cancer will show significant difference in ADC values.Methods: This is a retrospective study done in MOSC medical college hospital Kolencherry. on patients on whom preoperative MRI was done before hysterectomy. Cases from July 2017 to March 2021 were included. Study cases included 40 females with pathologically confirmed endometrial cancer and 30 females with pathologically proven normal endometrium in cases of uterine leiomyoma and cervical cancer. The exclusion criteria for the study were patients with endometrial cancer in whom surgery was not done within 2 weeks of MRI, patients who were treated with chemotherapy or radiotherapy before surgery, patients who had hydrometra or pyometra.Results: The mean ADC value (10−3 mm2/second) of endometrial cancer was 0.77±0.04, which was significantly lower (p<0.05) than that of normal endometrium (1.323±0.05). The ADC values of different grades of endometrial cancers did not show any statistically significant difference (p>0.05).Conclusions: Our study showed that ADC measurement can differentiate between normal endometrium and endometrial cancer. The ADC values of different grades of endometrial cancers did not show any statistically significant difference.  

Can the apparent diffusion coefficient differentiate the grade of endometrioid adenocarcinoma and the histological subtype of endometrial cancer?

2017 ◽  
Vol 59 (3) ◽  
pp. 363-370 ◽  
Author(s):  
Bin Yan ◽  
Tingting Zhao ◽  
Xiufen Liang ◽  
Chen Niu ◽  
Caixia Ding
Keyword(s):  
Diffusion Coefficient ◽  
Endometrial Cancer ◽  
Apparent Diffusion Coefficient ◽  
Low Grade ◽  
Endometrioid Adenocarcinoma ◽  
High Grade ◽  
Squamous Differentiation ◽  
Apparent Diffusion ◽  
Adc Values ◽  
Endometrial Cancers

Background Diffusion-weighted imaging (DWI) provides useful information for the identification of benign and malignant uterine lesions. However, the use of the apparent diffusion coefficient (ADC) for histopathological grading of endometrial cancer is controversial. Purpose To explore the use of ADC values in differentiating the preoperative tumor grading of endometrioid adenocarcinomas and investigate the relationship between the ADC values of endometrial cancer and the histological tumor subtype. Material and Methods We retrospectively evaluated 98 patients with endometrial cancers, including both endometrioid adenocarcinomas (n = 80) and non-endometrioid adenocarcinomas (n = 18). All patients underwent DWI procedures and ADC values were calculated. The Kruskal–Wallis test and the independent samples Mann–Whitney U test were used to compare differences in the ADC values between different tumor grades and different histological subtypes. Results The mean ADC values (ADCmean) for high-grade endometrioid adenocarcinomas were significantly lower than the values for low-grade tumors (0.800 versus 0.962 × 10–3 mm2/s) ( P = 0.002). However, no significant differences in ADCmean and minimum ADC values (ADCmin) were found between tumor grades (G1, G2, and G3) of endometrial cancer. Compared with endometrioid adenocarcinomas, the adenocarcinoma with squamous differentiation showed lower ADC values (mean/minimum = 0.863/0.636 versus 0.962/0.689 × 10–3 mm2/s), but the differences were not significant ( Pmean = 0.074, Pmin = 0.441). Moreover, ADCmean for carcinosarcomas was significantly higher than the value for G3 non-carcinosarcoma endometrial cancers (1.047 versus 0.823 × 10–3 mm2/s) ( P = 0.001). Conclusion The ADCmean was useful for identifying high-grade and low-grade endometrioid adenocarcinomas. Additionally, squamous differentiation may decrease ADCmean and ADCmin of endometrioid adenocarcinoma, and carcinosarcomas showed relatively high ADCmean.

scholarly journals Role of diffusion weighted MR imaging in diagnosis of acute pancreatitis

QJM ◽  
2020 ◽  
Vol 113 (Supplement_1) ◽  
Author(s):  
K A A Sabry ◽  
O F Kamel ◽  
A Y Ahmed ◽  
H M Abuzeid
Keyword(s):  
Acute Pancreatitis ◽  
Diffusion Coefficient ◽  
Apparent Diffusion Coefficient ◽  
Adc Value ◽  
Diffusion Weighted ◽  
Significant Difference ◽  
Apparent Diffusion ◽  
Adc Values ◽  
Normal Controls

Abstract Purpose to assess the role of Diffusion-weighted MRI in diagnosis of acute pancreatitis by measure the apparent diffusion coefficient (ADC) values detected by diffusion-weighted imaging (DWI) in acute pancreatitis and compare them with the control group Methods and Material sixteen patients with acute pancreatitis and sixteen normal controls underwent DWI with b values (0,200 & 800). Apparent diffusion coefficient (ADC) maps are generated from DWI and ADC values were calculated for pancreas and compared the results between the two groups Results The mean pancreatic ADC in the AP group (1.17 × 10(-3) mm(2)/s ± 0.2) was significantly lower than in the normal group (1.6 × 10(-3) mm(2)/s ± 0.32). There was no significant difference in mean ADCs between each of the pancreatic segments in the controls. A threshold ADC value of 1.38 × 10-3 mm(2)/s yielded a sensitivity of 93% and specificity of 87% for detecting acute pancreatitis. Pancreatic ADCs are significantly lower in patients with AP than normal controls. Conclusion MR diffusion imaging could be an important supportive tool in diagnosis of acute pancreatitis

scholarly journals Apparent diffusion coefficient cannot discriminate metastatic and non-metastatic lymph nodes in rectal cancer: a meta-analysis

2021 ◽  
Author(s):  
Alexey Surov ◽  
Hans-Jonas Meyer ◽  
Maciej Pech ◽  
Maciej Powerski ◽  
Jasan Omari ◽  
...  
Keyword(s):  
Rectal Cancer ◽  
Diffusion Coefficient ◽  
Apparent Diffusion Coefficient ◽  
Lymph Nodes ◽  
Meta Analysis ◽  
Adc Value ◽  
Metastatic Lymph Nodes ◽  
Metastatic Lymph ◽  
Apparent Diffusion ◽  
Adc Values

Abstract Background Our aim was to provide data regarding use of diffusion-weighted imaging (DWI) for distinguishing metastatic and non-metastatic lymph nodes (LN) in rectal cancer. Methods MEDLINE library, EMBASE, and SCOPUS database were screened for associations between DWI and metastatic and non-metastatic LN in rectal cancer up to February 2021. Overall, 9 studies were included into the analysis. Number, mean value, and standard deviation of DWI parameters including apparent diffusion coefficient (ADC) values of metastatic and non-metastatic LN were extracted from the literature. The methodological quality of the studies was investigated according to the QUADAS-2 assessment. The meta-analysis was undertaken by using RevMan 5.3 software. DerSimonian, and Laird random-effects models with inverse-variance weights were used to account the heterogeneity between the studies. Mean DWI values including 95% confidence intervals were calculated for metastatic and non-metastatic LN. Results ADC values were reported for 1376 LN, 623 (45.3%) metastatic LN, and 754 (54.7%) non-metastatic LN. The calculated mean ADC value (× 10−3 mm2/s) of metastatic LN was 1.05, 95%CI (0.94, 1.15). The calculated mean ADC value of the non-metastatic LN was 1.17, 95%CI (1.01, 1.33). The calculated sensitivity and specificity were 0.81, 95%CI (0.74, 0.89) and 0.67, 95%CI (0.54, 0.79). Conclusion No reliable ADC threshold can be recommended for distinguishing of metastatic and non-metastatic LN in rectal cancer.

Influence of menstrual status and pathological type on the apparent diffusion coefficient in cervical cancer: a primary study

2020 ◽  
pp. 028418512092689
Author(s):  
Yue Dong ◽  
Rui Tong Dong ◽  
Xiao Miao Zhang ◽  
Qing Ling Song ◽  
Tao Yu ◽  
...  
Keyword(s):  
Cervical Cancer ◽  
Diffusion Coefficient ◽  
Apparent Diffusion Coefficient ◽  
Primary Study ◽  
Adc Value ◽  
Cervical Cancers ◽  
Menstrual Status ◽  
Pathological Type ◽  
Apparent Diffusion ◽  
Adc Values

Background Apparent diffusion coefficient (ADC) value is an important quantitative parameter in the research of cervical cancer, affected by some factors. Purpose To investigate the effect of pathological type and menstrual status on the ADC value of cervical cancer. Material and Methods A total of 352 individuals with pathologically confirmed cervical cancer between January 2015 to December 2017 were retrospectively enrolled in this study, including 317 cases with squamous cell carcinomas (SCC) and 35 cases with adenocarcinomas (AC); 177 patients were non-menopausal and 175 were menopausal. All patients underwent a routine 3.0-T magnetic resonance imaging (MRI) scan and diffusion-weighted imaging (DWI) examination using b-values of 0, 800, and 1000 s/mm2. Three parameters including mean ADC (ADCmean), maximum ADC (ADCmax), and minimum ADC (ADCmin) of cervical cancer lesions were measured and retrospectively analyzed. Independent samples t-test was used to compare the difference of ADC values in different menstrual status and pathological types. Results In all menopausal and non-menopausal patients, the ADCmean and ADCmin values of SCC were lower than those of AC ( P<0.05), the ADCmax of two pathological types showed no statistical difference ( P > 0.05). In menopausal patients, the ADCmean, ADCmax, and ADCmin values of SCC were not statistically different compared with those of AC ( P > 0.05). The ADCmean, ADCmax, and ADCmin values of different pathological types cervical cancers in non-menopausal patients were all higher than those in menopausal patients ( P<0.05). Conclusion The ADC values of the cervical cancers were different in different pathological types and were also affected by menstrual status.

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 Assessment of the percentage of apparent diffusion coefficient value changes as an early indicator of the response of colorectal hepatic metastases to chemotherapy

2019 ◽  
Vol 50 (1) ◽  
Author(s):  
Nada Gamal El-Husseiny ◽  
Sayed Mohamed Mehana ◽  
Sherif Farouk El Zawawy
Keyword(s):  
Colorectal Cancer ◽  
Diffusion Coefficient ◽  
Apparent Diffusion Coefficient ◽  
Hepatic Metastasis ◽  
Percentage Increase ◽  
Early Assessment ◽  
Response To Chemotherapy ◽  
Significant Difference ◽  
Apparent Diffusion ◽  
Adc Values

Abstract Background Colorectal cancer is considered one of the most common causes of cancer-related deaths worldwide. We aim to evaluate the efficacy of DWI-MRI in predicting response to chemotherapy in this cohort. The study included 30 lesions in 20 biopsy proven-colorectal cancer patients with hepatic metastasis larger than 1 cm. All patients underwent both triphasic CT with intravenous contrast, pre-chemotherapy MRI (axial T2 and DW sequences) which was repeated 21 days following chemotherapy. A follow-up CT was done 2 months later. The response of the lesions was evaluated using the RESCIST criteria. On MRI, the lesions corresponding to the ones chosen on CT were identified and the apparent diffusion coefficient (ADC) values of pre- and post-chemotherapy images were recorded and correlated with the CT results. Results In the study, 17 (56.7%) of the lesions showed response to chemotherapy while 13 (43.3%) were non-responding. There was no significant difference in pretreatment ADC values between responding and non-responding lesions (p = 0.14). The mean percentage increase in ADC values in responding lesions was 42% compared to 18% in non-responding lesions (p < 0.001). Lesions that showed less than 18% increase were all found to be non-responsive Conclusion DWI-MRI has an emerging role in early assessment of early treatment response that can be detected before morphological response for patients with hepatic metastasis from colorectal cancer. Based on our study, the use of 25 % as the cutoff point of percent difference in ADC for detection of non-responding lesions proved to be successful only 21 days after the 1st chemotherapy cycle.

scholarly journals Apparent diffusion coefficient can predict therapy response of hepatocellular carcinoma to transcatheter arterial chemoembolization

2021 ◽  
Author(s):  
Ralph Drewes ◽  
Constanze Heinze ◽  
Maciej Pech ◽  
Maciej Powerski ◽  
Katja Woidacki ◽  
...  
Keyword(s):  
Hepatocellular Carcinoma ◽  
Diffusion Coefficient ◽  
Apparent Diffusion Coefficient ◽  
Transcatheter Arterial Chemoembolization ◽  
Meta Analysis ◽  
Therapy Response ◽  
Adc Value ◽  
Apparent Diffusion ◽  
Adc Values ◽  
Arterial Chemoembolization

Aim: The goal of this meta-analysis was to assess the apparent diffusion coefficient (ADC) as a pre- and posttreatment (ΔADC) predictive imaging biomarker of response to transcatheter arterial chemoembolization (TACE) in patients with hepatocellular carcinoma (HCC). Methods: SCOPUS database, EMBASE database and MEDLINE library were scanned for connections between pre- and posttreatment ADC values of HCC and response to TACE. Six studies qualified for inclusion. The following parameters were collected: authors, publication year, study design, number of patients, drugs for TACE, mean ADC value, standard deviation, measure method, b-values and Tesla-strength. The QUADAS-2 instrument was employed to check the methodological quality of each study. The meta-analysis was performed by utilizing RevMan 5.3 software. DerSimonian and Laird random-effects models with inverse-variance were used to regard heterogeneity. Mean ADC values and 95% confidence intervals were computed. Results: Six studies (n=271 patients with 293 HCC nodules) were included. The pretreatment mean ADC in the responder group was 1.20 x 10-3 mm2/s (0.98, 1.42) and 1.14 x 10-3 mm2/s (0.89, 1.39) in the non-responder group. The analysis of post TACE ADC value changes (ΔADC) revealed a threshold of ≥ 20% to identify treatment responders. No suitable pretreatment ADC threshold to predict therapy response or discriminate between responders and non-responders before therapy could be discovered. Conclusion: ΔADC can facilitate early objective response evaluation through post-therapeutic ADC alterations ≥ 20%. Pretreatment ADC cannot predict response to TACE.

Apparent diffusion coefficient (ADC) does not correlate with different serological parameters in myositis and myopathy

2017 ◽  
Vol 59 (6) ◽  
pp. 694-699 ◽  
Author(s):  
Hans-Jonas Meyer ◽  
Oliver Ziemann ◽  
Malte Kornhuber ◽  
Alexander Emmer ◽  
Ulf Quäschling ◽  
...  
Keyword(s):  
Diffusion Coefficient ◽  
Apparent Diffusion Coefficient ◽  
Imaging Modality ◽  
Inflammatory Myopathy ◽  
Random Motion ◽  
Control Group ◽  
Adc Value ◽  
Muscle Disorders ◽  
Apparent Diffusion ◽  
Adc Values

Background Magnetic resonance imaging (MRI) is widely used in several muscle disorders. Diffusion-weighted imaging (DWI) is an imaging modality, which can reflect microstructural tissue composition. The apparent diffusion coefficient (ADC) is used to quantify the random motion of water molecules in tissue. Purpose To investigate ADC values in patients with myositis and non-inflammatory myopathy and to analyze possible associations between ADC and laboratory parameters in these patients. Material and Methods Overall, 17 patients with several myositis entities, eight patients with non-inflammatory myopathies, and nine patients without muscle disorder as a control group were included in the study (mean age = 55.3 ± 14.3 years). The diagnosis was confirmed by histopathology in every case. DWI was obtained in a 1.5-T scanner using two b-values: 0 and 1000 s/mm2. In all patients, the blood sample was acquired within three days to the MRI. The following serological parameters were estimated: C-reactive protein, lactate dehydrogenase, alanine aminotransferase, aspartate aminotransferase, creatine kinase, and myoglobine. Results The estimated mean ADC value for the myositis group was 1.89 ± 0.37 × 10–3 mm2/s and for the non-inflammatory myopathy group was 1.79 ± 0.33 × 10–3 mm2/s, respectively. The mean ADC values (1.15 ± 0.37 × 10–3 mm2/s) were significantly higher to unaffected muscles (vs. myositis P = 0.0002 and vs. myopathy P = 0.0021). There were no significant correlations between serological parameters and ADC values. Conclusion Affected muscles showed statistically significantly higher ADC values than normal muscles. No linear correlations between ADC and serological parameters were identified.

scholarly journals T2 and DWI in Pilocytic and Pilomyxoid Astrocytoma with Pathologic Correlation

2012 ◽  
Vol 39 (4) ◽  
pp. 491-498 ◽  
Author(s):  
M. Horger ◽  
M. N. Vogel ◽  
R. Beschorner ◽  
U. Ernemann ◽  
J. Wörner ◽  
...  
Keyword(s):  
Diffusion Coefficient ◽  
Apparent Diffusion Coefficient ◽  
Signal Intensity ◽  
Imaging Features ◽  
Pilomyxoid Astrocytoma ◽  
Diffusion Weighted Images ◽  
Significant Difference ◽  
Apparent Diffusion ◽  
Adc Values ◽  
Myxoid Matrix

Objective:To quantify and compare T2 signal and apparent diffusion coefficient (ADC) in pilocytic and pilomyxoid astrocytoma (PA and PMA) and correlate results with myxoid content.Methods:Echo-planar diffusion weighted images (DWI) and standard magnetic resonance imaging (MRI) findings were reviewed retrospectively in patients with PA (n=34) and PMA (n=8). Regions of interest (ROIs) were drawn on ADC maps within tumor parts with lowest ADC values. Apparent diffusion coefficient values in tumor were normalized to those in cerebrospinal fluid (ADC/CSF). The ratio of T2 signal intensity in solid tumor parts to CSF (T2/CSF) was registered. Myxoid matrix was histologically quantified retrospectively in 8 PMAs and 17 PAs and correlated with imaging findings.Results:Mean ADC/CSF for PA and PMA was 0.53±0.10 and 0.69±0.10 (p<0.01). Mean T2/CSF for PA and PMA was 0.78±0.19 and 0.93±0.09 (p<0.01). Mean proportion of myxoid tumor matrix in PA was 50% (range, 10-100%) and 93% (range, 90-100%) in PMA (p=0.004). Eight patients (32%; all PA) had less than 50% myxoid content and 17 (68%; 8 PA; 9 PMA) had more. There was positive correlation of ADC/CSF, T2/CSF and ADC (r2=0.61, 0.65 and 0.60 respectively) and significant difference between the groups with more and less than 50% myxoid content (p=0.01 for ADC/CSF and T2/CSF and p=0.02 for ADC).Conclusions:General imaging features of PA and PMA are non-specific, ADC values and T2 signal intensity are generally higher in the latter, reflecting the proportion of myxoid matrix in these tumors.

Dynamic Perfusion Computed Tomography and Apparent Diffusion Coefficient as Potential Markers for Poorly Differentiated Pancreatic Adenocarcinoma

2021 ◽  
pp. 1-8
Author(s):  
Inga Zaboriene ◽  
Kristina Zviniene ◽  
Saulius Lukosevicius ◽  
Povilas Ignatavicius ◽  
Giedrius Barauskas
Keyword(s):  
Computed Tomography ◽  
Diffusion Coefficient ◽  
Apparent Diffusion Coefficient ◽  
Tumor Grade ◽  
Adc Value ◽  
Predictive Values ◽  
Apparent Diffusion ◽  
Adc Values ◽  
Poorly Differentiated ◽  
Grade One

<b><i>Introduction:</i></b> Tumor grade, one of the most important risk factors for survival, is routinely determined after examining the biopsy material or a surgically removed specimen. The aim of the study was to analyze computed tomography (CT) perfusion parameters and diffusion-weighted imaging apparent diffusion coefficient (ADC) values in pancreatic ductal adenocarcinoma (PDAC) and to establish the diagnostic value of these modalities determining the tumor grade. <b><i>Materials and Methods:</i></b> A prospective clinical study included 56 subjects with PDAC. All the patients had a local perfusion assessment and ADC measurement of the tumor. For the prediction of poor tumor differentiation sensitivity, specificity, positive, and negative predictive values for each perfusion CT and ADC parameters based on cutoff values from ROC analysis were calculated. <b><i>Results:</i></b> Mean transit time (MTT) and ADC values were found to be independent prognosticators for the presence of G3 PDAC. MTT and ADC at the cutoff of 17.37 s and 1.15 × 10<sup>−3</sup> mm<sup>2</sup>/s, respectively, appeared to be significant parameters discriminating against the differentiation grade of PDAC. If both values exceeded the defined cutoff point, the estimated probability for the presence of G3 PDAC was 89.29%. <b><i>Conclusion:</i></b> The MTT parameter, calculated with the deconvolution method, and the ADC value may serve as effective independent prognosticators identifying poorly differentiated PDAC.

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