PURPOSE The purpose of this study was to evaluate the clinical and radiological outcomes of acute posterior cruciate ligament (PCL) lesions in multiple injured knees that were surgically treated with internal bracing. METHODS Acute complete PCL lesions in multiple injured knees with subsequent internal-bracing treatment within 21 days between 2014 and 2016 were eligible for inclusion. At final follow-up, patients were assessed with Tegner, Lysholm, and IKDC scores. PCL stability and healing were verified with KT-2000, stress radiography and magnetic resonance imaging (MRI). RESULTS Fourteen patients [mean age 37.4 (± 17.8; SD) years] were evaluated after a mean follow-up of 19.9 (± 7.7; SD) months. Thirteen patients suffered complete lesions of the PCL with concomitant ligamentous injuries (Schenck I six cases, Schenck III M five cases, Schenck IV N one case, Schenck V one case). Median Tegner, mean Lysholm and mean IKDC scores at follow-up were 4 (2-7; interquartile range), 69.1 (± 16.6; SD) and 68.9 (± 18.1; SD) respectively. Posterior translation averaged 5.8 (± 2.2; SD) mm with the KT 2000 and stress radiography showed a mean posterior tibial translation of 5.5 (± 4.1; SD) mm in the side to side comparison. MRI showed adequate PCL healing. CONCLUSIONS Internal bracing as treatment for acute PCL ruptures in multiple injured knees showed adequate restoration of posterior tibial translation in a single-centre study including 14 cases. LEVEL OF EVIDENCE IV.The anterolateral ligament is recently recognized as an important structure in restoring rotational stability of the anterior cruciate ligament-deficient knee. Biomechanical and clinical studies confirmed the benefits of concurrent anterior cruciate ligament and anterolateral ligament reconstruction. However, present techniques mostly use hamstring tendons autografts and therefore additionally disrupt the knee biomechanics. The plantaris tendon is a well known and accessible graft and has excellent biomechanical properties for anterolateral ligament reconstruction. The present paper describes a new combined anterior cruciate ligament and anterolateral ligament reconstruction technique using plantaris tendon and semitendinosus tendon.Level of evidence V (Case report).PURPOSE To evaluate the effect of English proficiency on abdominal MRI imaging quality. METHODS Three equal-sized cohorts of patients undergoing 3T abdominal MRI were identified based on English proficiency as documented in the EMR Primary language of English; English as a second language (ESL)/no translator needed; or ESL, translator needed (42 patients per cohort for total study size of 126 patients). Three radiologists independently used a 1-5 Likert scale to assess respiratory motion and image quality on turbo spin-echo T2WI and post-contrast T1WI. Groups were compared using Kruskal-Wallis tests. RESULTS For T2WI respiratory motion, all three readers scored the Translator group significantly worse than the English and ESL/no-Translator groups (mean scores across readers of 2.98 vs. 3.58 and 3.51; p values  less then  0.001-0.008). For T2WI overall image quality, all three readers also scored the Translator group significantly worse than the English and ESL/no-Translator groups (2.77 vs. https://www.selleckchem.com/products/ptc-209.html 3.28 and 3.31; p values 0.002-0.005). For T1WI respiratory motion, mean scores were not significantly different between groups (English 4.14, ESL/no-Translator 4.02, Translator 3.94; p values 0.398-0.597). For T1WI overall image quality, mean scores also were not significantly different (4.09, 3.99, and 3.95, respectively; p values 0.369-0.831). CONCLUSION Abdominal MR examinations show significantly worse T2WI respiratory motion and overall image quality when requiring a translator, even compared with non-translator exams in non-English primary language patients. Strategies are warranted to improve coordination among MR technologists, translators, and non-English speaking patients undergoing abdominal MR, to ensure robust image quality in this vulnerable patient population.Multi-parametric prostate MRI (mpMRI) plays a critical role in the diagnosis, staging, and evaluation of treatment response in patients with prostate cancer. Radiologists, through an accurate and standardized interpretation of mpMRI, can clinically stage prostate cancer and help to risk stratify patients who may benefit from more invasive treatment or exclude patients who may be harmed by overtreatment. The purpose of this article is to describe key findings to accurately stage prostate cancer with mpMRI and to describe the contexts in which mpMRI is best applied.Imaging plays an increasing role in prostate cancer diagnosis and staging. Accurate staging of prostate cancer is required for optimal treatment planning. In detecting extraprostatic cancer and sites of early recurrence, traditional imaging methods (computed tomography, magnetic resonance imaging, radionuclide bone scan) have suboptimal performance. This leaves a gap between known disease recurrence as indicated by rising prostate-specific antigen and the ability to localize the recurrence on imaging. Novel positron emission tomography (PET) agents including radiolabeled choline, fluciclovine (18F-FACBC), and agents targeting prostate-specific membrane antigen are being developed and tested to increase diagnostic performance of non-invasive prostate cancer localization. When combined with CT or MRI, these tracers offer a combination of functional information and anatomic localization that is superior to conventional imaging methods. These PET radiotracers have varying mechanisms and excretion patterns affecting their pharmacokinetics and diagnostic performance, which will be reviewed in this article.Foodborne pathogens have become ongoing threats in the food industry, whereas their rapid detection and classification at an early stage are still challenging. To address early and rapid detection, hyperspectral microscope imaging (HMI) technology combined with convolutional neural networks (CNN) was proposed to classify foodborne bacterial species at the cellular level. HMI technology can simultaneously obtain both spatial and spectral information of different live bacterial cells, while two CNN frameworks, U-Net and one-dimensional CNN (1D-CNN), were employed to accelerate the data analysis process. U-Net was used for automating cellular regions of interest (ROI) segmentation, which generated accurate cell-ROI masks in a shorter timeframe than the conventional Otsu or Watershed methods. The 1D-CNN was employed for classifying the spectral profiles extracted from cell-ROI and resulted in a higher accuracy (90%) than k-nearest neighbor (81%) and support vector machine (81%). Overall, the CNN-assisted HMI technology showed potential for foodborne bacteria detection.