Your browser doesn't support javascript.
loading
Show: 20 | 50 | 100
Results 1 - 20 de 206
Filter
1.
Chinese Critical Care Medicine ; (12): 609-612, 2021.
Article in Chinese | WPRIM | ID: wpr-909369

ABSTRACT

Objective:To examine whether the combination of quantitative regional apparent diffusion coefficient (ADC) and amplitude-integrated electroencephalogram (aEEG) can predict the outcome of comatose patients with severe traumatic brain injury (sTBI).Methods:A prospective study was conducted. The patients with coma caused by sTBI [Glasgow coma scale (GCS) < 8] admitted to Suqian First Hospital from January 2016 to June 2019 were enrolled. All patients underwent aEEG examination and magnetic resonance imaging (MRI) scan within 1 week after emergency treatment. The ADC values of 9 regions of interest (frontal gray matter and white matter, parietal gray matter and white matter, temporal gray matter and white matter, caudate nucleus of basal ganglia, lenticular nucleus and thalamus) were measured by head MRI, and the mean ADC values of frontal lobe, parietal lobe, temporal lobe and basal ganglia were calculated respectively. According to the follow-up results after 12 months, the differences of each index between patients with poor prognosis [Glasgow outcome score (GOS) 1-2] and patients with good prognosis (GOS 3-5) were compared; the receiver operating characteristic curve (ROC curve) was drawn to evaluate the predictive ability of aEEG and ADC for the good prognosis of patients with sTBI, and the predictive value of the combination of aEEG and ADC.Results:A total of 52 patients with sTBI were enrolled, with mean age of (36.7±13.9) years old, 35 of whom were male. Within 12 months follow-up, 29 patients had achieved favorable outcomes and 23 patients had unfavorable outcome. There were 21, 17 and 14 patients with aEEG , and grade, respectively, and 19, 10 and 0 patients had good prognosis respectively. ADC values of 9 regions of interest in patients with good prognosis were significantly higher than those in patients with poor prognosis (×10 -6 mm 2/s: 924±107 vs. 531±87 in frontal gray matter, 804±95 vs. 481±74 in frontal white matter, 831±93 vs. 683±72 in temporal gray matter, 726±87 vs. 654±63 in temporal white matter, 767±79 vs. 690±75 in parietal gray matter, 716±84 vs. 642±62 in parietal white matter, 689±70 vs. 465±68 in caudate nucleus, 723±84 vs. 587±71 in lenticular nucleus, 807±79 vs. 497±67 in thalamus, all P < 0.01). ROC curve analysis showed that the area under ROC curve (AUC) of aEEG for predicting good prognosis of sTBI patients was 0.826, when the cut-off value of aEEG was < 1.5, the sensitivity was 94.7% and the specificity was 72.8%. Among the ADC value prediction abilities in the interested areas, the prediction of ADC value in frontal lobe and basal ganglia area were better than that in sTBI patients. AUC was 0.817 and 0.903 respectively. The best cut-off values were > 726×10 -6 mm 2/s and > 624×10 -6 mm 2/s respectively, the sensitivity of predicting prognosis were both 100%, and the specificity was 63.4% and 61.8%. A model combining frontal ADC and basal ganglia ADC with aEEG was 91.0% sensitive and 93.7% specific for favorable outcome of sTBI patients. Conclusion:Combination of the quantitative measurement of regional ADC and aEEG may be useful for predicting the outcome of the patients with sTBI.

2.
Article in Chinese | WPRIM | ID: wpr-888350

ABSTRACT

OBJECTIVE@#To investigate the application value of apparent diffusion coefficient (ADC) and signal intensity ratio (SIR) of MR diffusion-weighted imaging (DWI) in quantitative evaluation of lumbar spine osteoporosis.@*METHODS@#A total of 175 patients with lumbar spine diseases who received dualenergy X-ray absorption (DXA) bone mineral density (BMD), routine MRI and DWI of the lumbar spine from May 2017 to October 2019 were selected. According to the T-value of DXA, the patients were divided into osteoporosis group (64 cases), osteopenia group (53 cases) and normal bone mass group (58 cases). The ADC and SIR values of L@*RESULTS@#There were statistically significant differences in ADC and SIR values among three groups (@*CONCLUSION@#ADC and SIR can better reflect the BMD of patients with lumbar diseases, and can quantitatively evaluate the vertebral body of osteoporosis, which play an important role in the diagnosis of lumbar osteoporosis.


Subject(s)
Diffusion Magnetic Resonance Imaging , Humans , Lumbar Vertebrae/diagnostic imaging , Magnetic Resonance Imaging , Magnetic Resonance Spectroscopy , Osteoporosis/diagnostic imaging
3.
J Cancer Res Ther ; 2020 Jul; 16(3): 587-593
Article | IMSEAR | ID: sea-213864

ABSTRACT

Objectives: The objective was to study the relationship of 3-Tesla (3T) diffusion-weighted magnetic resonance imaging (DW-MRI) with apparent diffusion coefficient (ADC) value for distinction of reactive and metastatic lymph nodes (LNs) in head-and-neck carcinoma (HNC) patients and to determine the ADC cutoff value for metastatic LNs at various levels. Materials and Methods: 3T DW and T1- and T2-weighted imaging sequences were done in 34 patients with biopsy-proven primary HNC of 100 cervical LNs ≥1 cm in diameter. The mean ADC values were compared with histopathologically proven LNs using the independent t-test. ADC cutoff value was evaluated with sensitivity, specificity, accuracy, positive predictive value, negative predictive value and a receiver operating characteristic curve analysis. Results: The mean ADC value of reactive LN was 1.2933 × 10-3 mm2/s and metastatic LN was 0.908 × 10-3 mm2/s. An ADC cutoff value was 0.868 × 10-3 mm2/s with 84% sensitivity, 96% specificity, 93% accuracy, 87.5% positive predictive value, and 94.7% negative predictive value. A significant difference in mean ADC value between reactive and metastatic LNs was noted (P< 0.001). Conclusion: 3T DW-MRI is useful in differentiating reactive and metastatic cervical LNs in HNC patients. However, studies with larger sample size have to be performed to validate ADC threshold value with 3T DW-MRI in differentiating between reactive and metastatic LNs for clinical practice

4.
Article | IMSEAR | ID: sea-212491

ABSTRACT

Background: Conventional MR plays an important role in detection of demyelinating lesions. Involvement of the lesion core, perilesional region and normally appearing white matter (NAWM) cannot be quantified using routine T2/FLAIR sequences. DTI is an important tool in assessment of anisotropy in affected and apparently normal region of brain. 3D Tractography maps are useful in showing white matter fibre loss. Aim was the assessment of white matter damage and neuroaxonal loss using DTI in demyelinating lesionsMethods: Cross sectional observational study including clinically suspected 30 patients of demyelinating disease. Patients were studied in 3Tesla Siemens Skyra MRI scanner with phased array coils. T1w, T2w, FLAIR, DWI, DTI, post contrast T1w images were included and FA, ADC, Tractography maps were generated. ANOVA test and BONFERONI analysis were used.Results: We found mean FA of core lesion was 0.307±0.06, of perilesional region 0.444±0.03 and NAWM 0.567±0.06. The mean ADC value of core of the lesion was 1.24×10-3mm2/sec±0.11×10-3mm2/sec, perilesional region 1.16×10-6mm2/sec ±0.1×10-3mm2/sec and NAWM 1.04×10-3mm2/sec±0.06×10-3mm2/sec.Conclusions: DTI is a useful MR technique that allows quantification of extent of demyelination in the white matter measuring FA and ADC values. The FA values which denote diffusivity and directionality are more reliable marker of demyelination compared to ADC values. DTI Tractography shows white matter tract disruption which may play role in assessing clinical outcome of patients.

5.
Article | IMSEAR | ID: sea-214936

ABSTRACT

It is well known in the literature that Apparent Diffusion Coefficient (ADC) obtained during diffusion-weighted MRI of brain is sensitive in detecting and differentiating low-grade and aggressive meningiomas. However, other studies establish no correlation between mean-ADC and ultimate classification as benign, atypical or malignant. We wanted to assess the correlation between, A. mean of MRI Apparent Diffusion Coefficient (mean-ADC) and B. meningioma biomarker Ki-67 proliferation index, in cases of both low-grade and aggressive meningioma. We also wanted to assess the sensitivity of mean-ADC for diagnosing an aggressive meningioma.METHODSWe analysed 66 surgically treated meningioma patients with complete histopathology report (HPR) in Government Medical College, Kozhikode during the period of study (Nov-2017-Oct-2018), also having a pre-operative mean-ADC value during Diffusion Weighted Imaging (DWI) investigation at the same centre. For the latter, a standard MRI brain protocol including diffusion imaging was conducted and ADC map was generated. Regions of interest (ROIs) were manually drawn within the tumour on ADC map and mean-ADC values were measured.RESULTSUsing Pearson correlation coefficient, we found a significant negative correlation between Ki-67 proliferation index and mean-ADC in meningioma cases. We also calculate 0.79 x 10-3 mm2/s being a reasonable mean-ADC cut-off value due to its sensitivity of 84% and specificity of 77% in differentiating between typical and atypical meningiomas.CONCLUSIONSThe non-invasive calculation of mean-ADC is a valid diagnostic tool. Further, mean ADC can be used as a good test to differentiate typical and atypical meningiomas. The latter is a particularly valid conclusion, since there were few results from conventional MRI studies to differentiate between various typical and atypical meningiomas.

6.
J Cancer Res Ther ; 2020 May; 16(2): 343-349
Article | IMSEAR | ID: sea-213822

ABSTRACT

Aim: This study was to evaluate the value of diffusion-weighted imaging (DWI) in predicting the efficacy of radiotherapy for esophageal cancer from xenograft model level. Subjects and Methods: Thirty-two tumor-bearing mice from the Eca-109 cell line nude mice models were established. The experimental group (n = 16) received a single dose of 15 Gy (6MV X-ray), whereas the control group (n = 16) did not receive any treatment. The tumor volume and apparent diffusion coefficient (ADC) were obtained. The cell density, tissue necrosis ratio, and CD31 expression were determined at matched time points. Results: The tumor volume was smaller in the experimental group than in the control group (P < 0.05) on the 7th day after radiotherapy (1.580 ± 0.965 cm3 vs. 2.671 ± 0.915 cm3). The ADC values were higher in the experimental group than in the control group on the 3rd day (P < 0.05) (998.15 ± 163.76 ×10− 6 mm2/s vs. 833.32 ± 142.15 ×10− 6 mm2/s). On the 3rd day after radiotherapy, the differences in cell density and necrosis ratio between the two groups were statistically significant; the tumor cell density was lower in the experimental group (25.56 ± 1.40%) than in the control group (33.48 ± 4.18%) (P < 0.05), and the proportion of tissue necrosis was higher in the experimental group (32.19 ± 1.21%) than in the control group (29.16 ± 2.16%) (P < 0.05). The negative and weak positive rate of CD31 expression in the experimental group was higher than the control group, whereas the generally positive and strong positive rate of CD31 expression was significantly lower than the control group in the early stage (P < 0.05). Conclusion: ADC values may change at the early stage before the morphological changes of tumors. Changes in cell density and necrosis ratio of transplanted tumors correspond to the changes in ADC values. DWI can be used for the early prediction of esophageal cancer radiotherapy efficacy

7.
National Journal of Andrology ; (12): 881-887, 2020.
Article in Chinese | WPRIM | ID: wpr-880286

ABSTRACT

Objective@#To investigate the relationship between the apparent diffusion coefficient (ADC) histogram parameters based on the whole tumor and the pathological grade and lymph node metastasis (LNM) of PCa.@*METHODS@#This retrospective study included 82 cases of PCa confirmed pathologically and subjected to MRI preoperatively. We obtained a series of ADC histogram parameters, such as ADCmean, ADCmedian, ADC25%, ADC75%, entropy, and histogram width, by processing the ADC images via the Firevoxel Post-Processing and the SPSS24 software. We compared the parameters between the high-risk and low- or moderate-risk groups as well as between the LNM-positive and LNM-negative groups of the patients, and analyzed the diagnostic performance of the parameters with statistically significant differences.@*RESULTS@#The high-risk group, compared with the low- or moderate-risk one, showed a significantly lower ADCmean ([590 ± 120] vs [837 ± 142] ×10-6 mm2/s, P < 0.01), ADCmedian ([560 ± 117] vs [804 ± 139] ×10-6 mm2/s, P < 0.01), ADC25% ([446.5 ± 98] vs [717 ± 118] ×10-6 mm2/, P < 0.01) and ADC75% ([667 ± 132] vs [931 ± 167] ×10-6 mm2/s, P < 0.01). The ADCmean manifested the highest diagnostic performance, with an AUC of 0.907, a sensitivity of 0.933 and a specificity of 0.796. No statistically significant difference was found between the high-risk and the low- or moderate-risk one in entropy (3.58 ± 0.39 vs 3.63 ± 0.42, P = 0.238) or the histogram width ([540 ± 73] vs [520 ± 65] ×10-6 mm2/s, P = 0.086). Both entropy and the histogram width were remarkably higher in the LNM-positive than in the LNM-negative group (3.95 ± 0.41 vs 3.12 ± 0.45, P < 0.01; [578 ± 59] vs [455 ± 68] ×10-6 mm2/s, P < 0.01), and the former had an even higher diagnostic performance, with an AUC of 0.836, a sensitivity of 0.887 and a specificity of 0.781. There were no statistically significant differences between the LNM-positive and LNM-negative groups in the ADCmean ([768 ± 135] vs [790±128] ×10-6 mm2/s, P = 0.402), ADCmedian ([759 ± 110] vs [775 ± 121] ×10-6 mm2/s, P = 0.225), ADC25% ([643 ± 91] vs [657 ± 89] ×10-6 mm2/s, P = 0.654) or ADC75% ([895 ± 127] vs [872 ± 129] ×10-6 mm2/s, P = 0.926).@*CONCLUSIONS@#ADC histogram parameters are related to pathological grade and LNM of PCa, and the analysis of the ADC histogram based on the whole tumor has an important value for preoperative evaluation and prognostic estimation of the malignancy.


Subject(s)
Diffusion Magnetic Resonance Imaging , Humans , Lymphatic Metastasis , Male , Prognosis , Prostatic Neoplasms/pathology , Retrospective Studies
8.
Chinese Journal of Urology ; (12): 120-125, 2020.
Article in Chinese | WPRIM | ID: wpr-869608

ABSTRACT

Objective To evaluate the effect of neoadjuvant androgen deprivation therapy (ADT) for prostate cancer on diffusion weighted imaging base on the pathological results after radical prostatectomy.Methods Medical records of 33 patients diagnosed with prostate cancer and treated with neoadjuvant androgen deprivation therapy and radical prostatectomy between January 2016 and September 2019 at Peking University First Hospital were retrospectively reviewed.Average age of patients was 67.7 (49-81) years old.All of the patients underwent prostate MRI examination before and after neoadjuvant ADT.Results Mean prostate volume after neoadjuvant ADT is 28.5 (6.25-113.76) em3,which decreased significantly by therapy (Z =-4.458,P < 0.05).Apparent diffusion coefficient (ADC) values increased significantly in tumor (1.070 ± 0.325) vs.(0.828 ± 0.291) × 10-3 mm2/s (P < 0.001) and decreased in benign prostatic tissue (P < 0.05).Relative changes in ADC differed significantly between low-median level ISUP group and high level ISUP group (0.315 ± 0.173) vs.(0.164 ± 0.224) × 10-3 mm2/s (P < 0.05),as well as obvious reaction group and focal reaction group(0.278 ± 0.21) vs.(0.094 ± 0.119) × 10-3 mm2/s (P < 0.05).Conclusions There were significant,quantitative measurable changes of ADC value in prostate cancer after neoadjuvant ADT.DWI can be used to assess the efficacy of neoadjuvant ADT for prostate cancer as well as predicting pathological features.

9.
International Eye Science ; (12): 2129-2133, 2020.
Article in Chinese | WPRIM | ID: wpr-829719

ABSTRACT

@#AIM: To study the application value of magnetic resonance(MR)high-definition readout segmentation of long variable echo-trains diffusion weighted imaging(RESOLVE-DWI)in the diagnosis of thyroid associated ophthalmopathy(TAO)and its predictive value for the activity of TAO activity.<p>METHODS: A total of 82 patients(155 eyes)with TAO admitted to the hospital from January 2017 to December 2019 were selected as TAO group. Another 50 patients(100 eyes)with Graves disease without TAO who were admitted during the same period were selected as control group. According to the clinical activity score(CAS)the patients with TAO were divided into active period and inactive period. All the participants were examined by magnetic resonance(MR). The difference of RESOLVE-DWI apparent diffusion coefficient(ADC)values between TAO Group and control group was compared. The receiver operating characteristic curve(ROC)was used to evaluate the diagnostic value of the ADC measurement of RESOLVE-DWI for TAO. Count the related factors that may affect the activity of TAO, and use Logistic regression analysis to clarify the risk factors. ROC curve was used to evaluated the predictive value of RESOLVE-DWI ADC for TAO activity.<p>RESULTS: The ADC value of the TAO group was greater than that of the control group(<i>P</i><0.001). ROC curve showed that the best cut-off point of RESOLVE-DWI ADC value in diagnosing TAO was 1.302×10<sup>-3</sup>mm<sup>2</sup>/s, and the sensitivity, specificity and AUC were 87.10%, 81.94% and 0.895, respectively. The age, grading standard promulgated by the American Thyroid Society(NOSPECS)and ADC value of TAO in active period were higher than those in inactive period, and the differences were statistically significant(<i>P</i><0.05). Logistic regression analysis showed that age, NOSPECS grade and ADC value were the risk factors of TAO activity, and the differences were statistically significant(<i>P</i><0.05). ROC curve analysis showed that the best cut-off point of RESOLVE-DWI ADC value in predicting TAO activity was 1.522×10<sup>-3</sup>mm<sup>2</sup>/s, and the sensitivity, specificity, and AUC were 82.58%, 76.77%, 0.801, respectively.<p>CONCLUSION: The best cut-off points of RESOLVE-DWI ADC value in diagnosing TAO and predicting activity are 1.302×10<sup>-3</sup>mm<sup>2</sup>/s and 1.522×10<sup>-3</sup>mm<sup>2</sup>/s, respectively, and use the best cut-off point for TAO diagnosis and activity sexual prediction has high clinical value.

10.
Article | IMSEAR | ID: sea-211387

ABSTRACT

Background: The purpose of the study was to determine the diagnostic accuracy of diffusion weighted MR imaging and to propose a cut off ADC value in differentiating benign from malignant prostatic lesions considering histopathology as gold standard.Methods: It is a descriptive type of observational study done on 40 patients with clinical suspicion of prostate carcinoma and elevated PSA level more than 4ng/ml. The patients underwent Multiparametric prostate MRI and ADC values were calculated using ADC maps.Results: Of the 40 cases included in the study histopathology revealed a diagnosis of abscess (1), chronic prostatitis (2), BPH with chronic prostatitis (4), BPH (12), and malignancy (21). The mean and standard deviation (SD) of ADC values for the abscess (0.59), CP (0.83+0.16), BPH with CP (0.94+0.22), BPH (1.14+0.14) and malignancy (0.72+0.15) (x10-3mm2/s) were found in our study. The mean ADC value of malignant lesion was lower (0.727+0.149) as compare to benign lesion (1.034+0.216) and this difference was found to be statistically significant with p<0.001. By using ROC curve, ADC cut off value was calculated as 0.92 x 10-3mm2/s and sensitivity, specificity at this cut off value of ADC were 95.24% and 73.68% respectively. The PPV, NPV, diagnostic accuracy of at this cut off value of ADC were 80%, 93.33%, 85% respectively.Conclusions: Our study shows that DWI with ADC calculation helps in differentiation of Benign from Malignant prostatic lesions with high accuracy and this quantitative analysis should be incorporated in routine MRI evaluation of prostatic lesions

11.
Article | IMSEAR | ID: sea-209364

ABSTRACT

Objective: Our aim was to evaluate the diagnostic capabilities of physiological magnetic resonance imaging (MRI) in differentiatingtype and grades of tumor and correlation with prospective histopathology results.Materials and Methods: We evaluated 70 patients in 3-tesla MRI preoperatively using conventional and physiological MRsequences (diffusion, perfusion, and spectroscopy) of common brain tumors who were prospectively confirmed by histopathology.Post-imaging analysis was done by available software and ratio was calculated. Data were expressed as mean ± standarddeviation and median (range) and Kolmogorov–Smirnov analysis was used to check distribution. Multiple statistical tests wereapplied and receiver operating characteristic (ROC) curve was plotted wherever feasible.Results: We obtained a significant difference in spectroscopic parameters, relative cerebral blood volume, and apparent diffusioncoefficient values between different tumor groups and also between different tumor grades. ROC curve plotted among groupsshowed sensitivity and specificity of diagnostic capability. Time-intensity curve showed a significant difference between differenttumor groups and correlation with grades of tumor.Conclusion: We propose an algorithm for differentiating different types and grades of common brain tumor using physiologicalMRI in addition to conventional MR sequences.

12.
Article | IMSEAR | ID: sea-202291

ABSTRACT

Introduction: Encephalitis is defined as inflammation of thebrain parenchyma. Study was done to determine the role ofDWI/ADC in the early diagnosis of acute viral encephalitis.Material and methods: 26 patients with clinical andlaboratory (CSF, blood culture) evidence of encephalitis wereprospectively evaluated with MRI, DWI/ADC and SWI withpatients divided into three groups on the basis of durationbetween the onset of clinical symptoms and timing of MRIbrain.Results: Of the total 26 patients imaged with age range of 3-70years (mean age 45 years), 20 were males and 6 were femaleswith a male to female ratio of 3.3:1. Group 1 comprised 8patients, group 2 and group 3 comprised 9 patients each. Pvalues were significant (p<0.05) between mean ADC valuesand their respective groups. We also found statisticallysignificant difference between group 2 and group 3 (p=0.041)with no statistically significant difference between groups 1and 2; and groups 1 and 3.Conclusion: MRI plays vital role in patients of acuteencephalitis in not only excluding intracranial space occupyinglesions but also in early diagnosis and specific treatment, thusreducing disease related morbidity and mortality. DWI/ADCis now an essential sequence in the colossal armamentariumof MRI sequences which not only helps in early diagnosis ofacute viral encephalitis but also has prognostic implications.

13.
Korean Journal of Radiology ; : 1138-1145, 2019.
Article in English | WPRIM | ID: wpr-760287

ABSTRACT

OBJECTIVE: To compare apparent diffusion coefficients (ADCs) of brain segments by using two diffusion-weighted imaging acquisition modes, single-shot echo-planar imaging (ss-EPI) and read-out-segmented echo-planar imaging (rs-EPI), and to assess their correlation and agreement in healthy controls. MATERIALS AND METHODS: T2-weighted (T2W) images, rs-EPI, and ss-EPI of 30 healthy subjects were acquired using a 3T magnetic resonance scanner. The T2W images were co-registered to the rs-EPI and ss-EPI, which were then segmented into the gray matter (GM), white matter (WM), and cerebrospinal fluid (CSF) to generate masking templates. ADC maps of rs-EPI and ss-EPI were also segmented into the GM, WM, and CSF by using the generated templates. ADCs of rs-EPI and ss-EPI were compared using Student's t tests and correlated using Pearson's correlation coefficients. Bland-Altman plots were used to assess the agreement between acquisitions.


Subject(s)
Brain , Cerebrospinal Fluid , Diffusion , Echo-Planar Imaging , Gray Matter , Healthy Volunteers , Magnetic Resonance Imaging , Masks , White Matter
14.
Chinese Journal of Oncology ; (12): 610-614, 2019.
Article in Chinese | WPRIM | ID: wpr-805789

ABSTRACT

Objective@#To evaluate the value of preoperative diagnosis of extramural vascular invasion (EMVI) of rectal cancer with 3.0T high-resolution magnetic resonance imaging (MRI) and the MRI-related factors of EMVI in rectal cancer.@*Methods@#The clinical and imaging data of 40 patients with rectal cancer were retrospectively analyzed. The postoperative pathological diagnosis was used as the gold standard to evaluate the diagnostic efficacy of preoperative diagnosis of EMVI of rectal cancer by high-resolution MRI, and to analyze the relationship between the EMVI and clinical and MRI features.@*Results@#Of the 40 patients, 19 cases were diagnosed as positive EMVI and 21 were negative by MRI. Pathological diagnosis of EMVI was positive in 10 cases and negative in 30 cases. The sensitivity, specificity and accuracy of MRI in the diagnosis of EMVI were 100%, 70.0% and 77.5%, respectively. Preoperative MRI and postoperative pathology were moderately consistent in the diagnosis of EMVI in rectal cancer (Kappa=0.538, P<0.001). Pathological EMVI positivity were related to tumor size under MRI examination (P=0.028), degree of differentiation (P<0.001), depth of invasion (P=0.002), lymph node metastasis (P=0.001), liver metastasis (P=0.011), tumor apparent diffusion coefficient (ADC) value (P=0.010) and exponential apparent diffusion coefficient (eADC) value (P=0.003). It also related to extramural nerve invasion by pathological examination (P=0.005).@*Conclusion@#According to the EMVI imaging score of rectal cancer, preoperative MRI has a high value in the diagnosis of EMVI of rectal cancer.

15.
Chinese Journal of Oncology ; (12): 102-106, 2019.
Article in Chinese | WPRIM | ID: wpr-804781

ABSTRACT

Objective@#To explore the value of diffusion-weighted magnetic resonance imaging (MR-DWI) technique in predicting the efficacy of radiotherapy in patients with esophageal cancer, using experimental animal models.@*Methods@#BALB/c nude mice were subcutaneously injected with Eca-109 cell lines and then tumor formed. The experimental group (16 cases) received a single dose of 15 Gy (6 MV X-rays) delivered by a medical linear accelerator, while the control group (24 cases) did not receive any treatment. The two groups were scanned every other day, started one day before the radiotherapy. The scanning sequences included T1-weight imaging, T2-weight imaging, and DWI. The observation time was 1 month. According to the changes of the tumor volume and apparent diffusion coefficient (ADC) value of the two groups, 7 key time points were selected to observe the difference of cell density and tissue necrosis ratio between the two groups (6 cases in each group).@*Results@#From day 7 after radiotherapy, the experimental group had statistically smaller volume of transplanted tumors than the control group, namely (1.729±0.906) cm3 vs (2.671±0.915) cm3(P<0.05). From day 3 after radiotherapy, the experimental group had statistically higher ADC values [(1.017±0.255)×10-6 vs (0.833±0.142)×10-6 mm2/s, P<0.05], lower cell density of transplanted tumor (25.56±1.40 vs 33.48±4.18%, P<0.05), and less proportion of tissue necrosis [(32.19±1.21) % vs (29.16±2.16)%, P<0.05], respectively. The ADC value was negatively correlated with cell density (r=-0.703, P<0.001) and positively correlated with tissue necrosis ratio (r=0.658, P=0.003).@*Conclusions@#Single dose of large fraction radiotherapy could inhibit the growth of xenograft. ADC values may change at the early stage prior to morphological changes of tumor. The change of cell density and necrosis ratio of transplanted tumor are in line with the change of ADC value. MR-DWI has the value of early prediction of esophageal cancer radiotherapy efficacy.

16.
Article in Chinese | WPRIM | ID: wpr-861507

ABSTRACT

Objective To explore the impact of age and menstrual status on ADC value of pelvic bone marrow in adult women. Methods ADC data of pelvic bone marrow in 124 adult women were retrospectively analyzed, including 51 premenopausal women (premenopausal group, 32 aged>40 and 19 aged ≤40 years) and 73 postmenopausal women (postmenopausal group, 27 aged >60 and 46 aged ≤60 years). ADC values of pelvic bone marrow in different age and menstrual status of adult women were compared. Results ADC value of pelvic bone marrow in premenopausal group was higher than that in postmenopausal group (P40 years (P60 years (P>0.05). ADC value of women's pelvic bone marrow showed negative correlation with age (rs=-0.581,P0.05). Conclusion ADC value of pelvic bone marrow in adult women decrease with aging, and the tendency is more pronounced in premenopausal women.

17.
Article in Chinese | WPRIM | ID: wpr-861489

ABSTRACT

Objective To investigate the value of DWI and minimum ADC value differential diagnosis of intracranial anaplastic ependymomas from ependymomas in children. Methods MRI data of 22 children with ependymoma (n=8) or anaplastic ependymoma (n=14) confirmed by operation and pathology were retrospectively analyzed. All patients underwent plain and enhanced MR scanning and DWI before operation. The minimum ADC value of parenchymal part of the tumors were measured and compared between children with ependymoma and anaplastic ependymoma. Then ROC curve was used to identify the diagnostic efficacy of minimum ADC value. Results The minimum ADC value of anaplastic ependymoma was (0.579±0.245)×10-3 mm2/s, while of ependymoma was (0.943±0.128)×10-3 mm2/s. The difference was statistically significant (t=3.881, P=0.001). The AUC of ROC curve was of 0.884 (P=0.003). Taken minimum ADC value=0.695×10-3 mm2/s as the threshold, the sensitivity was 100%, and the specificity was 71.4%. Conclusion The minimum ADC value has high clinical value in differential diagnosis of intracranial ependymoma and anaplastic ependymoma in children, which can be used as an effective supplement for routine MRI.

18.
Article in Chinese | WPRIM | ID: wpr-861464

ABSTRACT

Objective: To explore the correlation of DWI ADC value and Gleason score, Ki-67, P53 proteins expression in prostate cancer, respectively. Methods Totally 59 patients with prostate cancer who had pathological data were enrolled and underwent DWI examination. The pathological samples were stained with Ki-67, P53 using immunohistochemistry staining. Then Gleason score was used to evaluate the degree of differentiation of tumor cells and stroma, and the patients were divided into well-differentiated group (8 scores, n=19). The differences of ADC value and the correlation with Ki-67 and P53 were analyzed. Results: The ADC value of prostate cancer was (0.98±0.19)×10-3 mm2/s in all 59 patients, while in well-differentiated group, moderately-differentiated group and poorly-differentiated group was (1.14±0.17)×10-3 mm2/s, (1.05±0.17)×10-3 mm2/s and (0.88±0.24)×10-3 mm2/s, respectively, and the differences were significant in total and each pairwise comparison (all P<0.05). ADC value of prostate cancer was negatively correlated with Gleason score (rs=-0.611, P=0.019), the expression of Ki-67 (rs=-0.491, P=0.016) and P53 protein (rs=-0.511, P=0.021), respectively. Conclusion: ADC value of prostate cancer is negatively correlated with Gleason score and Ki-67, P53 proteins expression. ADC value can be used to preliminarily and noninvasively predict the malignancy degree of tumor cells, the degree of cell differentiation and proliferation in prostate neoplasm.

19.
Article in Chinese | WPRIM | ID: wpr-861388

ABSTRACT

Objective To investigate the performance of MRI characteristics and ADC value in prediction of benign and malignant breast imaging reporting and data system (BI-RADS) category 4 lesions, and to establish Logistic regression predictive models. Methods Totally 79 patients with 82 BI-RADS 4 breast lesions confirmed with pathological results were enrolled. Univariate binary Logistic regression analysis and two-sample t-test were performed to analyze the difference of MRI characteristics and ADC values between benign and malignant breast lesions. The multivariate Logistic predictive model was established, and the ROC curve was drawn to evaluate the efficacy in prediction of benign and malignant lesions of BI-RADS 4. Results In mass lesions, the Logistic regression model was established based on margin, internal enhancement and ADC value (all P0.1). Conclusion Some MRI descriptors (margin and internal enhancement) and ADC value have a good predictive performance for benign and malignant mass lesions of BI-RADS 4. The established Logistic regression predictive model can effectively differentiate the character of BI-RADS 4 mass lesions and has potential clinical value.

20.
Article in Chinese | WPRIM | ID: wpr-861291

ABSTRACT

Objective: To investigate the value of whole tumor texture features derived from ADC mapping in distinguishing high grade glioma (HGG) from low grade glioma (LGG) of brain. Methods: Totally 66 patients with pathologic proven brain glioma were enrolled, including 41 HGGs and 25 LGGs. Then 107 texture features were derived from whole tumor ADC mapping. The texture features and clinical characteristics were compared, and the variates with statistical significance at univariate analysis were entered into Logistic analysis to find out the independent risk factors for HGG. ROC curves were constructed to determine the diagnostic performance of HGG. Results: The univariate analysis revealed that the gender and age of patients as well as 3 texture features were different between HGGs and LGGs. Logistic analysis showed that age (P=0.002, OR=1.090) and ZoneEntropy (P=0.003, OR=2.984) were independent risk factors for HGG. Combining age and ZoneEntropy, the AUC of identifying HGG was 0.844, with a sensitivity of 75.6% and a specificity of 88.0%. Conclusion: The whole tumor ADC-derived texture features are useful for grading of brain glioma grade. Combining texture features with clinical characteristics can obtain high diagnostic performance.

SELECTION OF CITATIONS
SEARCH DETAIL