scholarly journals Correlation Analyses of Computed Tomography and Magnetic Resonance Imaging for Calculation of Prostate Volume in Colorectal Cancer Patients with Voiding Problems Who Cannot Have Transrectal Ultrasonography

2019 ◽  
Vol 2019 ◽  
pp. 1-8
Author(s):  
Sung Han Kim ◽  
Boram Park ◽  
Whi-An Kwon ◽  
Jae Young Joung ◽  
Ho Kyung Seo ◽  
...  

Objective. To evaluate the value of computed tomography (CT) and magnetic resonance imaging (MRI) in determining total prostate volume (TPV) for patients with colorectal cancer, as an alternative to transrectal ultrasonography (TRUS) of the prostate when TRUS is not an option. Methods. We retrospectively evaluated the medical records of 122 male cancer patients who were referred to our urology department between 2014 and 2016 for voiding problems. They underwent colorectal surgery within 3 months; we estimated the correlations of the TPV measurements made using CT, MRI, and TRUS. A total of 122 TRUS, 88 MRI, and 34 CT images were reviewed repeatedly, twice by 2 independent urologists within 1 month after the initial evaluation. The correlations were statistically evaluated using a Bland-Altman plot and Spearman and Pearson correlation analyses. Results. Overall median age was 70.5 years and the median TPV, as measured using TRUS, CT, and MRI, was 33.2, 43.4, and 30.1 mL, respectively. There was a good correlation in TPV measured with CT (coefficient >0.7) and MRI (>0.8). There was not a good correlation between TRUS and preoperative and postoperative CT/MRI; preoperative CT/MRI had a higher correlation (>0.7) than postoperative CT/MRI (>0.8). When stratified by prostate volume, preoperative CT (>0.58-0.59) correlated better for <30 mL and preoperative MRI (0.70-0.75) correlated better for ≥30 mL. Conclusions. The study showed that preoperative MRI had the best correlation with TRUS, especially in prostates ≥30 mL despite overestimations in CT and MRI measurements compared with TRUS.

2019 ◽  
Author(s):  
Maurits P. Engbersen ◽  
Max J. Lahaye ◽  
Regina G.H. Beets-Tan

Imaging increasingly plays an important role in selecting the most optimal treatment for patients with colon and rectal cancer. While in colon cancer, computed tomography (CT) remains the modality of choice for local and distant staging, in patients with rectal cancer magnetic resonance imaging (MRI) is the main modality and mandatory for local staging. Endoluminal rectal ultrasound (ERUS) is the preferred staging method for superficial rectal tumors. This chapter addresses the current role of various imaging modalities in colorectal tumor staging. This review contains 4 figures and 50 references. Key words: Preoperative imaging, Colorectal cancer, Magnetic resonance imaging, Diffusion weighted MRI, Computed tomography, Mesorectal fascia, TNM staging, Treatment stratification


2019 ◽  
Author(s):  
Maurits P. Engbersen ◽  
Max J. Lahaye ◽  
Regina G.H. Beets-Tan

Imaging increasingly plays an important role in selecting the most optimal treatment for patients with colon and rectal cancer. While in colon cancer, computed tomography (CT) remains the modality of choice for local and distant staging, in patients with rectal cancer magnetic resonance imaging (MRI) is the main modality and mandatory for local staging. Endoluminal rectal ultrasound (ERUS) is the preferred staging method for superficial rectal tumors. This chapter addresses the current role of various imaging modalities in colorectal tumor staging. This review contains 4 figures and 50 references. Key words: Preoperative imaging, Colorectal cancer, Magnetic resonance imaging, Diffusion weighted MRI, Computed tomography, Mesorectal fascia, TNM staging, Treatment stratification


2019 ◽  
Vol 33 (08) ◽  
pp. 768-776 ◽  
Author(s):  
Si Heng Sharon Tan ◽  
Beatrice Ying Lim ◽  
Kiat Soon Jason Chng ◽  
Chintan Doshi ◽  
Francis K.L. Wong ◽  
...  

AbstractThe tibial tubercle–trochlear groove (TT–TG) distance was originally described for computed tomography (CT) but has recently been used on magnetic resonance imaging (MRI) without sufficient evidence demonstrating its validity on MRI. The current review aims to evaluate (1) whether there is a difference in the TT–TG distances measured using CT and MRI, (2) whether both the TT–TG distances measured using CT and MRI could be used to differentiate between patients with or without patellofemoral instability, and (3) whether the same threshold of 15 to 20 mm can be applied for both TT–TG distances measured using CT and MRI. The review was conducted using the preferred reporting items for systematic reviews and meta-analyses (PRSIMA) guidelines. All studies that compared TT–TG distances either (1) between CT and MRI or (2) between patients with and without patellofemoral instability were included. A total of 23 publications were included in the review. These included a total of 3,040 patients. All publications reported the TT–TG distance to be greater in patients with patellofemoral instability as compared to those without patellofemoral instability. This difference was noted for both TT–TG distances measured on CT and on MRI. All publications also reported the TT–TG distance measured on CT to be greater than that measured on MRI (mean difference [MD] = 1.79 mm; 95% confidence interval [CI]: 0.91–2.68). Pooling of the studies revealed that the mean TT–TG distance for the control group was 12.85 mm (95% CI: 11.71–14.01) while the mean TT–TG distance for patients with patellofemoral instability was 18.33 mm (95% CI: 17.04–19.62) when measured on CT. When measured on MRI, the mean TT–TG distance for the control group was 9.83 mm (95% CI: 9.11–10.54), while the mean TT–TG distance for patients with patellofemoral instability was 15.33 mm (95% CI: 14.24–16.42). Both the TTTG distances measured on CT and MRI could be used to differentiate between patients with and without patellofemoral instability. Patients with patellofemoral instability had significantly greater TT–TG distances than those without. However, the TT–TG distances measured on CT were significantly greater than that measured on MRI. Different cut-off values should, therefore, be used for TT–TG distances measured on CT and on MRI in the determination of normal versus abnormal values. Pooling of all the patients included in the review then suggest for 15.5 ± 1.5 mm to be used as the cut off for TT–TG distance measured on CT, and for 12.5 ± 2 mm to be used as the cut-off for TT–TG distance measured on MRI. The Level of evidence for this study is IV.


1994 ◽  
Vol 15 (8) ◽  
pp. 437-443 ◽  
Author(s):  
Mark S. Mizel ◽  
Neil D. Steinmetz ◽  
Elly Trepman

An experimental study was performed to compare computed tomography (CT), magnetic resonance imaging (MRI), and real-time, high resolution ultrasonography (US) for the detection of wooden foreign bodies in muscle tissue. Wooden splinters were prepared, measured for size, soaked in saline, and placed in porcine muscle distant from and adjacent to bone. The specimens were then examined using roentgenography, CT and MRI in planes parallel and perpendicular to the splinters, and US. The largest wooden foreign bodies (minimum smallest width = 10 mm) were easily detected by CT, MRI, and US. Almost all splinters of various sizes, small and large, soaked in saline for 5 months were easily detected by MRI. Smaller splinters (minimum smallest width = 1–4 mm) soaked for only 3 days and placed distant from bone were most easily detected by US; those soaked for 5 months were most easily detected by either US or MRI. The smaller splinters soaked for only 3 days and placed near bone were not reliably detected by any of the imaging methods; CT and MRI were both more sensitive than US in this situation. MRI scanning was more sensitive perpendicular than parallel to the long axis of the splinters. Therefore, either US or MRI may be the best initial imaging modality for evaluation of a suspected wooden foreign body, depending on availability of imaging method, chronicity of symptoms, and proximity to bone.


2019 ◽  
Vol 6 (1) ◽  
pp. 21 ◽  
Author(s):  
Katie Waine ◽  
Ben Strugnell ◽  
John Remnant ◽  
Fiona Lovatt ◽  
Martin Green ◽  
...  

Laryngeal chondritis, or “Texel throat”, is a disease affecting the upper respiratory tract of sheep with breeds like the Texel appearing to be predisposed. Previous work suggests the conformation of these breeds of sheep may be predisposing these animals to laryngeal disease. This study evaluated the anatomy of the Texel sheep larynx and describes incidental pathology. Forty-three larynges from rams of the Texel and Bluefaced Leicester breeds of sheep were measured and photographed. A larynx from each breed was submitted for computed tomography (CT) and magnetic resonance imaging (MRI). Measurements, photography, CT, and MRI demonstrated a difference in the anatomy of the larynx between breeds and a higher proportion of Texel sheep had laryngeal lesions. This study supports the hypothesis that the anatomy of the Texel sheep could be pre-disposing the breed to laryngeal chondritis.


2019 ◽  
Vol 52 (1) ◽  
pp. 1-6 ◽  
Author(s):  
Lorenzo Carlo Pescatori ◽  
Edoardo Savarino ◽  
Giovanni Mauri ◽  
Enzo Silvestri ◽  
Maurizio Cariati ◽  
...  

Abstract Objective: To evaluate the feasibility of quantifying visceral adipose tissue (VAT) on computed tomography (CT) and magnetic resonance imaging (MRI) scans, using freeware, as well as calculating intraobserver and interobserver reproducibility. Materials and Methods: We quantified VAT in patients who underwent abdominal CT and MRI at our institution between 2010 and 2015, with a maximum of three months between the two examinations. A slice acquired at the level of the umbilicus was selected. Segmentation was performed with the region growing algorithm of the freeware employed. Intraobserver and interobserver reproducibility were evaluated, as was the accuracy of MRI in relation to that of CT. Results: Thirty-one patients (14 males and 17 females; mean age of 57 ± 15 years) underwent CT and MRI (mean interval between the examinations, 28 ± 12 days). The interobserver reproducibility was 82% for CT (bias = 1.52 cm2; p = 0.488), 86% for T1-weighted MRI (bias = −4.36 cm2; p = 0.006), and 88% for T2-weighted MRI (bias = −0.52 cm2; p = 0.735). The intraobserver reproducibility was 90% for CT (bias = 0.14 cm2; p = 0.912), 92% for T1-weighted MRI (bias = −3,4 cm2; p = 0.035), and 90% for T2-weighted MRI (bias = −0.30 cm2; p = 0.887). The reproducibility between T1-weighted MRI and T2-weighted MRI was 87% (bias = −0.11 cm2; p = 0.957). In comparison with the accuracy of CT, that of T1-weighted and T2-weighted MRI was 89% and 91%, respectively. Conclusion: The program employed can be used in order to quantify VAT on CT, T1-weighted MRI, and T2-weighted MRI scans. Overall, the accuracy of MRI (in comparison with that of CT) appears to be high, as do intraobserver and interobserver reproducibility. However, the quantification of VAT seems to be less reproducible in T1-weighted sequences.


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