Clinical Application of Diffusion-Weighted Magnetic Resonance Imaging in Uterine Cervical Cancer

2015 ◽  
Vol 25 (6) ◽  
pp. 1073-1078 ◽  
Author(s):  
Ying Liu ◽  
Zhaoxiang Ye ◽  
Haoran Sun ◽  
Renju Bai
Keyword(s):  
Magnetic Resonance Imaging ◽  
Cervical Cancer ◽  
Uterine Cervical Cancer ◽  
Pathological Grade ◽  
Resonance Imaging ◽  
Adc Value ◽  
Cellular Density ◽  
Apparent Diffusion ◽  
Adc Values ◽  
Weighted Magnetic Resonance Imaging

ObjectiveThis study aimed to investigate the application value of apparent diffusion coefficient (ADC) values in evaluating histological type as well as pathologic grade of uterine cervical cancer; and to investigate whether ADC values could reflect tumor cellular density.MethodsNinety-eight patients with histopathologically proven uterine cervical cancer were included in this study. Mean ADC value and minimum ADC value of the tumor were measured. Tumor cellular density was counted using colored multifunction imaging analyzing system.ResultsBoth mean ADC value and minimum ADC value of squamous cell carcinoma were significantly lower than that of adenocarcinoma (P= 0.001;P= 0.000). Using mean ADC criteria (≤0.965 × 10−3mm2/s) and minimum ADC criteria (≤0.844 × 10−3mm2/s), the sensitivity and specificity for differentiating squamous cell carcinoma from adenocarcinoma were 83.5% and 76.9%, and 77.6% and 92.3%, respectively. Receiver operating characteristic analysis revealed that there was no statistically significant difference in the Az values between them (P= 0.990). Tumor cellular density, mean ADC value, and minimum ADC value of different pathological grade varied significantly (P= 0.000,P= 0.000,P= 0.000). There was a significant positive linear correlation between tumor cellular density and pathological grade of tumor (P= 0.000). Both mean ADC value and minimum ADC value correlated negatively with cellular density (P= 0.000,P= 0.000) and the pathological grade of tumor (P= 0.000,P= 0.000). Comparisons of correlation coefficients showed no significant differences (P= 0.656,P= 0.631).ConclusionsDiffusion-weighted magnetic resonance imaging has a potential ability to indicate the histologic type of uterine cervical cancer. Apparent diffusion coefficient measurements of uterine cervical cancer can represent tumor cellular density, thus providing a new method for evaluating the pathological grade of tumor.

scholarly journals The Value of Diffusion-Weighted Magnetic Resonance Imaging in Predicting the Efficacy of Radiation and Chemotherapy in Cervical Cancer

2018 ◽  
Vol 13 (1) ◽  
pp. 305-311 ◽  
Author(s):  
Jingjing Chen ◽  
Hui Hua ◽  
Jing Pang ◽  
Xianglong Shi ◽  
Weiqun Bi ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Cervical Cancer ◽  
Diffusion Coefficient ◽  
Magnetic Resonance ◽  
Tumor Diameter ◽  
Resonance Imaging ◽  
Adc Value ◽  
Apparent Diffusion ◽  
Maximum Tumor Diameter ◽  
Weighted Magnetic Resonance Imaging

AbstractBackgroundTo analyze the application value of apparent diffusion coefficient (ADC) and exponent apparent diffusion coefficient (EADC) in evaluating the efficacy of radiation and chemotherapy in cervical cancer using pre- and posttreatment diffusion-weighted magnetic resonance imaging (DW-MRI) scans.Methods52 patients with cervical cancer were administered radiation and chemotherapy. Both MRI and DW-MRI were obtained at different stages. The ADC and EADC values, as well as the maximum tumor diameter, were measured and analyzed.ResultsWe found that the ADC value increased after treatment, and the EADC value decreased. Changes in the calculated ADC occurred earlier than the morphologic changes of the tumors. A negative correlation was detected between reduced rates in the maximum tumor diameter two months after treatment and pretreatment ADC value (r = –0.658, P < 0.05). An ROC curve and nonlinear regression analysis showed that the formula, y = (1525500.122x2 – 4689.962x + 3.482) × 100%, can be used to calculate the percentage of complete remission after treatment according to the pretreatment ADC value.ConclusionOur data suggest that pretreatment ADC and EADC values are predictive of the efficacy of radiation and chemotherapy. Both ADC and EADC values during treatment were instrumental in early monitoring and dynamic observation.

scholarly journals Multiple b values of diffusion-weighted magnetic resonance imaging in evaluation of solid head and neck masses

2019 ◽  
Vol 50 (1) ◽  
Author(s):  
Rania Sobhy Abou khadrah ◽  
Haytham Haroon Imam
Keyword(s):  
Magnetic Resonance Imaging ◽  
Magnetic Resonance ◽  
Head And Neck ◽  
Resonance Imaging ◽  
Adc Value ◽  
Neck Masses ◽  
Adc Values ◽  
Weighted Magnetic Resonance Imaging ◽  
The Mean ◽  
Head And Neck Masses

Abstract Background Differentiation between malignant and benign masses is essential for treatment planning and helps in improving the prognosis of malignant tumors; the aim of this work is to determine the role of diffusion-weighted magnetic resonance imaging (DW-MRI) and the apparent diffusion coefficient (ADC) in the differentiation between benign and malignant solid head and neck masses by comparing diagnostic performance of low b values (0.50 and 400 s/mm2) versus high b values (800 and 1000 s/mm2) and comparing the result with histopathological finding. Results The study included 60 patients (34 male and 26 female) with solid head and neck masses > 1 cm who referred to radiodiagnosis department for MRI evaluation. Multiple b values were used 50, 400, 800, and 1000 s/mm2 (at least 2 b values). DWI and ADC value of all 60 patients were acquired. Mean ADC values of both malignant and benign masses were statistically measured and compared, and cut off value was determined. Solid head and neck masses in our study DWI with the use of high b value 800 and 1000 s/mm2 were of higher significance (P value 0.001*). There was a significant difference in the mean ADC value between benign and malignant masses (P < 0.01); solid masses were divided into 2 categories: (a) malignant lesions 46.7% (n = 28) with mean ADC value (0.82 ± 0.19) × 10−3 s/mm2 and (b) benign lesions 53.3% (n = 32) with mean ADC value (2.05 ± 0.46) × 10−3 s/mm2) with ADC cutoff value of 1.0 × 10−3 s/mm2 and 94% sensitivity, 93% specificity, negative predictive value (NPV) = 94%, positive predictive value (PPV) 93%, and an accuracy of 93.5%. Conclusion The DWI with ADC mapping were valuable as non-invasive tools in differentiating between benign and malignant solid head and neck masses. The use of high b value 800 and 1000 s/mm2 was of higher significance (P value 0.001*) in differentiation between benign and malignant lesion than that with low b values 0, 50, and 400 s/mm2 (0.01). The mean ADC values were significantly lower in malignant solid masses. Attention had to be paid to the choice of b values in MRI-DWI in the head and neck region.

scholarly journals Diffusion-weighted magnetic resonance imaging: biomarker for treatment response in oncology

2013 ◽  
Vol 46 (3) ◽  
pp. 178-180 ◽  
Author(s):  
Maria Luiza Testa ◽  
Rubens Chojniak ◽  
Letícia Silva Sene ◽  
Aline Santos Damascena
Keyword(s):  
Magnetic Resonance Imaging ◽  
Diffusion Coefficient ◽  
Quantitative Assessment ◽  
Therapeutic Response ◽  
Imaging Biomarker ◽  
Resonance Imaging ◽  
Adc Value ◽  
Early Increase ◽  
Apparent Diffusion ◽  
Weighted Magnetic Resonance Imaging

The authors report a case where a quantitative assessment of the apparent diffusion coefficient (ADC) of liver metastasis in a patient undergoing chemotherapy has shown to be an effective early marker for predicting therapeutic response, anticipating changes in tumor size. A lesion with lower initial ADC value and early increase in such value in the course of the treatment tends to present a better therapeutic response.

Diffusion-weighted magnetic resonance imaging of cervical cancer

2011 ◽  
Vol 18 (4) ◽  
pp. 139-146
Author(s):  
Vaida ATSTUPĖNAITĖ ◽  
Algidas BASEVIČIUS ◽  
Adrijus KRIMELIS ◽  
Artūras INČIŪRA ◽  
Daiva VAITKIENĖ
Keyword(s):  
Magnetic Resonance Imaging ◽  
Cervical Cancer ◽  
Magnetic Resonance ◽  
Chemoradiation Therapy ◽  
Cervical Tissue ◽  
Resonance Imaging ◽  
Adc Value ◽  
Diffusion Weighted ◽  
Weighted Magnetic Resonance Imaging ◽  
The Mean

Background. Diffusion-weighted magnetic resonance imaging (DW–MRI) has been employed in the diagnostics of malignant tumors of abdomen and pelvis relatively recently. Nowadays, there exists a particular interest in adaptation DW–MRI for assessing the response of tumors to chemoradiaton therapy. The aim of our study was to compare the mean value of the apparent diffusion coefficient (ADC) in a healthy cervix, cancer-affected cervix and a cervix after chemoradiation therapy, as well as to identify the ADC range typical of cervical cancer. Materials and methods. The study enrolled 108 female patients who underwent pelvic MRI in the Lithuanian University of Health Sciences Kaunas Clinics Hospital in 2008–2010. The study group consisted of 65 patients in whom cervical cancer had been clinically suspected and confirmed by biopsy before MRI examination. All these patients underwent pelvic MRI twice: before the chemoradiation therapy and 6 months after the therapy. The control group consisted of 43 patients in whom cervical cancer had been not suspected and MRI was performed because of other pelvic diseases. Results. The mean ADC value of the study group (0.658 ± 0.118 × 10–3 mm2/s) was lower than of the control group (1.171 ± 0.143 × 10–3 mm2/s) (t = 20.315, p = 0.03). The ADC threshold value of 0.945 × 10–3 mm2/s was defined, differentiating the cancer-affected cervical tissue from the normal. The mean ADC value of the patients who responded to chemoradiation therapy (1.111 ± 0.138 × 10–3 mm2/s) increased and in those who did not respond it remained lower (0.733 ± 0.073 × 10–3 mm2/s) (t = 9.518, p = 0.04). The ADC threshold value of 0.830 × 10–3 mm2/s was defined, differentiating the residual tumor tissue from the healthy cervical tissue after chemoradiation therapy. Conclusions. The ADC value in the case of cervical cancer was significantly lower than in the non-affected cervical tissue. The ADC value increases after effective chemoradiation therapy and becomes closer to the coefficient value of non-affected cervical tissue, but still remains lower. The 0.945 × 10–3 mm2/s ADC threshold was detected while differentiating between cancer-affected and normal cervical tissues, while the ADC threshold was 0.830 × 10–3 mm2/s when differentiating between residual tumor tissue and healthy cervical tissue after chemoradiation therapy at a high sensitivity and specificity. Keywords: diffusion-weighted magnetic resonance imaging, apparent diffusion coefficient, cervical cancer, chemoradiation therapy

Use of Diffusion-Weighted Magnetic Resonance Imaging and Apparent Diffusion Coefficient in Gastric Cancer Staging

2020 ◽  
Vol 16 ◽  
Author(s):  
Levent Soydan ◽  
Ali Aslan Demir ◽  
Mehmet Torun ◽  
Makbule Arar Cikrikcioglu
Keyword(s):  
Magnetic Resonance Imaging ◽  
Gastric Cancer ◽  
Diffusion Coefficient ◽  
Resonance Imaging ◽  
Quantitative Parameter ◽  
Apparent Diffusion ◽  
Adc Values ◽  
Weighted Magnetic Resonance Imaging ◽  
Staging Of Gastric Cancer ◽  
Sensitivity Specificity

Background: The apparent diffusion coefficient (ADC), the quantitative parameter of diffusion-weighted magnetic resonance imaging (DW-MRI), is a measure for this restricted diffusion, and its role in gastric cancer (GC) including distinguishing malignant segments from healthy gastric wall, metastatic perigastric lymph nodes from benign nodes and evaluating response of GC to neoadjuvant chemotherapy has been investigated in previous studies. Evidence suggests that ADC may also be of help in assessment of aggressiveness and preoperative staging of gastric cancer, which needs to be explored in further studies. Objective: To investigate the role of DW-MRI and its quantitative parameter, ADC in staging of gastric cancer. Methods: Forty-six patients (28 male, 18 female, mean age 62 years) with non-metastatic biopsy-proven GC who underwent abdominal DW-MRI before surgery were included in this retrospective study. Tumor invasion depth (T-stage) and nodal involvement (N-stage) were evaluated using signal increase on DW-MRI, and tumor ADC was measured. Diagnostic performance of these results was assessed by comparing them with postsurgical histopathology based on 8th TNM classification. Results: Sensitivity, specificity, and accuracy of DW-MRI in T-staging were 92.1%, 75%, 89.1% for ≤T2 vs. ≥T3; and 75%, 88.5%, 82.6% for ≤T3 vs. T4. However, sensitivity, specificity, and accuracy of DW-MRI in N-staging were 89.3%, 88.9%, 89.1% for ≤N1 vs. ≥N2; and 73.7%, 96.3%, 86.9% for ≤N2 vs. N3, respectively. Relative preoperative ADC values correlated with pT staging (r=-0.397, p=0.006). There was also a statistically significant difference of relative ADC values between ≤T3 and T4 stages, and a cut-off of 0.64 s/mm2 could differentiate these stages with an odds ratio of 7.714 (95% confidence interval, 1.479-40.243). The area under the receiver operating characteristic curve for differentiating ≤T3 and T4 stages was 0.725. Conclusion: DW-MRI may contribute to the clinical staging of non-metastatic GC. In particular, relative ADC of DW-MRI can distinguish T4 gastric cancer from less advanced T-stages.

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

2020 ◽  
Vol 51 (1) ◽  
Author(s):  
Hanan M. Abuzeid ◽  
Aya Yassin ◽  
Omar F. Kamel ◽  
Kareem A. Sabry
Keyword(s):  
Magnetic Resonance Imaging ◽  
Acute Pancreatitis ◽  
Magnetic Resonance ◽  
Control Group ◽  
Resonance Imaging ◽  
Adc Value ◽  
Diffusion Weighted ◽  
Adc Values ◽  
Weighted Magnetic Resonance Imaging

Abstract Background The role of diffusion-weighted magnetic resonance imaging (DW-MRI) in the diagnosis of acute pancreatitis is assessed in this study by measuring the apparent diffusion coefficient (ADC) values in acute pancreatitis and comparing them with a control group. The aim of this study is to compare those two groups thus supporting the diagnosis of this disease. Sixteen patients with acute pancreatitis and 16 control participants underwent diffusion-weighted imaging with b values of 0, 200, and 800. ADC maps were generated from the DW-MRI and ADC values, which were calculated for the pancreas, and the results of the two groups of patients were compared. Results The mean pancreatic ADC value in the acute pancreatitis group (1.15 10(−3) mm(2)/s ± 0.28) was significantly lower than in the normal group (1.6 10−3 mm(2)/s ± 0.2). A threshold ADC value of 1.38 10−3 mm(2)/s yielded 81.25%, specificity of 93.75%, positive predictive value of 92.9%, negative predictive value of 83.3%, and accuracy of 91.8%. Pancreatic ADC values were significantly lower in patients with acute pancreatitis than in the control group. Conclusion Diffusion-weighted magnetic resonance imaging could be an important supportive tool in the diagnosis of acute pancreatitis.

scholarly journals Role of diffusion: weighted magnetic resonance imaging in evaluation of renal masses

2020 ◽  
Vol 8 (10) ◽  
pp. 3575
Author(s):  
Jitendra K. Meena ◽  
Anil Taneja
Keyword(s):  
Magnetic Resonance Imaging ◽  
Magnetic Resonance ◽  
Resonance Imaging ◽  
Renal Masses ◽  
Adc Value ◽  
Diffusion Weighted ◽  
Adc Values ◽  
Weighted Magnetic Resonance Imaging

Background: Diffusion-weighted magnetic resonance imaging (DWI) is a valuable tool to narrow down the differential diagnosis of renal masses. Studies have shown that benign renal masses have higher Apparent diffusion coefficient (ADC) value than malignant renal masses. Aim of study was to evaluate the role of diffusion-weighted magnetic resonance imaging in the characterization of renal masses.Methods: The study was conducted in department of Radio diagnosis at ABVIMS and Dr. RML Hospital, New Delhi between June 2017 to March 2019. This was a cross-sectional observational study comprising of 28 patients. Patients found to have renal mass on ultrasound and computed tomography (CT) were evaluated further on 3T siemens Magnetic resonance imaging (MRI) scanner. In addition to routine sequences, DWI using b value of 0,500,1000 s/mm2 sequence was used to study to differentiate benign and malignant renal masses.Results: Of a total of 28 cases, the most common malignant mass was renal cell carcinoma (RCC). Angiomyolipoma (AML) was the most common benign masses. DWI showed low ADC values in most of the malignant masses and high ADC values in most of the benign masses. The cut-off level of ADC value for differentiation among benign and malignant renal masses was 1.08×10-3 mm2/s. DWI-MR findings were correlated with histopathological diagnosis.Conclusion: DWI with ADC measurements are a non-invasive, problem solving tool for characterization of renal masses helping to differentiate malignant from benign masses. 

Sign in / Sign up

Export Citation Format

Share Document