Imaging of Müller-Weiss Disease.

Müller-Weiss disease (MWD) is the result of a dysplasia of the tarsal navicular bone. Over the adult years, the dysplastic bone leads to the development of an asymmetric talonavicular arthritis with the talar head shifting laterally and plantarly, thus driving the subtalar joint into varus. From a diagnostic point of view, the condition may be difficult to differentiate from an avascular necrosis or even a stress fracture of the navicular, but fragmentation is the result of a mechanical impairment rather than a biological dysfunction.Standardized weight-bearing radiographs (anteroposterior and lateral views) of both feet are usually enough to diagnose MWD. Other imaging modalities such as multi-detector computed tomography and magnetic resonance imaging in early cases for the differential diagnosis can add additional details on the amount of cartilage affected, bone stock, fragmentation, and associated soft tissue injuries. Failure to identify patients with paradoxical flatfeet varus may lead to an incorrect diagnosis and management. Conservative treatment with the use of rigid insoles is effective in most patients. A calcaneal osteotomy seems to be a satisfactory treatment for patients who fail to respond to conservative measures and a good alternative to the different types of peri-navicular fusions. Weight-bearing radiographs are also useful to identify postoperative changes.

Breaking the 30-day barrier: Long-term effectiveness of a nurse-led 7-step transitional intervention program in heart failure.

BACKGROUND AND AIMS: Heart failure (HF) programs successfully reduce 30-day readmissions. However, conflicting data exist about its sustained effects afterwards and its impact on mortality. We evaluated whether the impact of a new nurse-led coordinated transitional HF program extends to longer periods of time, including 90 and 180 days after discharge. METHODS AND RESULTS: We designed a natural experiment to undertake a pragmatical evaluation of the implementation of the program. We compared outcomes between patients discharged with HF as primary diagnosis in Period #1 (pre-program; Jan 2017-Aug 2017) and those discharged during Period #2 (HF program; Sept 2017-Jan 2019). Primary endpoint was the composite of all-cause death or all-cause hospitalization 90 and 180 days after discharge. 440 patients were enrolled: 123 in Period #1 and 317 in Period #2. Mean age was 75±9 years. There were more females in Period #2 (p = 0.025), with no other significant differences between periods. The primary endpoint was significantly reduced in the HF program group, at 90 [adjusted OR 0.31 (0.18-0.53), p <0.001] and at 180 days [adjusted OR 0.18 (CI 0.11-0.32), p <0.001]. Such a decrease was due to a reduction in cardiovascular (CV) and HF hospitalization. All-cause death was reduced when a double check discharge planning was implanted compared to usual care [0 (0%) vs. 7 (3.8%), p = 0.022]. CONCLUSION: A new nurse-led coordinated transitional bundle of interventions model reduces the composite endpoint of all-cause death and all-cause hospitalization both at 90 and 180 days after a discharge for HF, also in high-risk populations. Such a decrease is driven by a reduction of CV and HF hospitalization. Reduction of all-cause mortality was also observed when the full model including a more exhaustive discharge planning process was implemented.

Development of a Super-Resolution Scheme for Pediatric Magnetic Resonance Brain Imaging Through Convolutional Neural Networks.

Pediatric medical imaging represents a real challenge for physicians, as children who are patients often move during the examination, and it causes the appearance of different artifacts in the images. Thus, it is not possible to obtain good quality images for this target population limiting the possibility of evaluation and diagnosis in certain pathological conditions. Specifically, magnetic resonance imaging (MRI) is a technique that requires long acquisition times and, therefore, demands the use of sedation or general anesthesia to avoid the movement of the patient, which is really damaging in this specific population. Because ALARA (as low as reasonably achievable) principles should be considered for all imaging studies, one of the most important reasons for establishing novel MRI imaging protocols is to avoid the harmful effects of anesthesia/sedation. In this context, ground-breaking concepts and novel technologies, such as artificial intelligence, can help to find a solution to these challenges while helping in the search for underlying disease mechanisms. The use of new MRI protocols and new image acquisition and/or pre-processing techniques can aid in the development of neuroimaging studies for children evaluation, and their translation to pediatric populations. In this paper, a novel super-resolution method based on a convolutional neural network (CNN) in two and three dimensions to automatically increase the resolution of pediatric brain MRI acquired in a reduced time scheme is proposed. Low resolution images have been generated from an original high resolution dataset and used as the input of the CNN, while several scaling factors have been assessed separately. Apart from a healthy dataset, we also tested our model with pathological pediatric MRI, and it successfully recovers the original image quality in both visual and quantitative ways, even for available examples of dysplasia lesions. We hope then to establish the basis for developing an innovative free-sedation protocol in pediatric anatomical MRI acquisition.

Randomized Phase III Trial of Prophylactic Cranial Irradiation With or Without Hippocampal Avoidance for Small-Cell Lung Cancer (PREMER): A GICOR-GOECP-SEOR Study.

PURPOSE: Radiation dose received by the neural stem cells of the hippocampus during whole-brain radiotherapy has been associated with neurocognitive decline. The key concern using hippocampal avoidance-prophylactic cranial irradiation (HA-PCI) in patients with small-cell lung cancer (SCLC) is the incidence of brain metastasis within the hippocampal avoidance zone. METHODS: This phase III trial enrolled 150 patients with SCLC (71.3% with limited disease) to standard prophylactic cranial irradiation (PCI; 25 Gy in 10 fractions) or HA-PCI. The primary objective was the delayed free recall (DFR) on the Free and Cued Selective Reminding Test (FCSRT) at 3 months; a decrease of 3 points or greater from baseline was considered a decline. Secondary end points included other FCSRT scores, quality of life (QoL), evaluation of the incidence and location of brain metastases, and overall survival (OS). Data were recorded at baseline, and 3, 6, 12, and 24 months after PCI. RESULTS: Participants' baseline characteristics were well balanced between the two groups. The median follow-up time for living patients was 40.4 months. Decline on DFR from baseline to 3 months was lower in the HA-PCI arm (5.8%) compared with the PCI arm (23.5%; odds ratio, 5; 95% CI, 1.57 to 15.86; P = .003). Analysis of all FCSRT scores showed a decline on the total recall (TR; 8.7% v 20.6%) at 3 months; DFR (11.1% v 33.3%), TR (20.3% v 38.9%), and total free recall (14.8% v 31.5%) at 6 months, and TR (14.2% v 47.6%) at 24 months. The incidence of brain metastases, OS, and QoL were not significantly different. CONCLUSION: Sparing the hippocampus during PCI better preserves cognitive function in patients with SCLC. No differences were observed with regard to brain failure, OS, and QoL compared with standard PCI.

Multiparametric magnetic resonance imaging-guided salvage radiotherapy in prostate cancer.

AIM: To analyse the efficacy and toxicity of postprostatectomy SRT in patients with a BCR evaluated with mpMRI. BACKGROUND: Multiparametric magnetic resonance imaging (mpMRI) has the ability to detect the site of pelvic recurrence in patients with biochemical recurrence (BCR) after radical prostatectomy (RP). However, we do not know the oncological outcomes of mpMRI-guided savage radiotherapy (SRT). RESULTS: Local, lymph node, and pelvic bone recurrence was observed in 13, 4 and 2 patients, respectively. PSA levels were significantly lower in patients with negative mpMRI (0.4 ng/mL [0.4]) vs. positive mpMRI (2.2 ng/mL [4.1], p = 0.003). Median planning target volume doses in patients with visible vs. non-visible recurrences were 76 Gy vs. 70 Gy. Overall, mean follow-up was 41 months (6-81). Biochemical relapse-free survival (bRFS) at 3 years was 82.3% and 82.5%, respectively, for the negative and positive mpMRI groups (p = 0.800). Three-year rates of late grade ≥2 urinary and rectal toxicity were 14.8% and 1.9%, respectively; all but one patient recovered without sequelae. CONCLUSION: SRT to the macroscopic recurrence identified by mpMRI is a feasible and well-tolerated option. In this study, there were no differences in bRFS between MRI-positive and MRI-negative patients, indicating effective targeting of MRI-positive lesions.

Diffusion-weighted magnetic resonance imaging evaluation of intra-abdominal sites of implants to predict likelihood of suboptimal cytoreductive surgery in patients with ovarian carcinoma.

OBJECTIVES: To analyse the diagnostic accuracy and to establish a predictive score based on diffusion-weighted magnetic resonance imaging (DWMRI) compared to exploratory laparotomy (EL) for predicting suboptimal cytoreductive surgery for different intra-abdominal sites of implants in patients with ovarian cancer. METHODS: Thirty-four patients with advanced ovarian carcinoma were studied. Preoperative DWMRI of the abdomen and pelvis was performed. DWMRI findings were compared with EL. Ten anatomical sites were selected for inclusion in the score. Sensitivity, specificity, positive predictive value, negative predictive value and accuracy for suboptimal cytoreduction were calculated for both DWMRI and EL. Receiver operating characteristic (ROC) curve analysis was used to assess the ability to predict suboptimal cytoreduction. RESULTS: Using predictive score, ROC curves were generated with an area under the curve of 0.938 for DWMRI and 0.947 for EL (P < 0.0001). For DWMRI, a score ≥6 had the highest overall accuracy at 91.1 % and identified patients with unnecessary EL with a sensitivity of 75 %. For EL, a score ≥4 had the highest overall accuracy at 88.2 % and was able to identify patients with unnecessary EL with a sensitivity of 87.5 %. CONCLUSIONS: DWMRI is an emerging technique that may be useful to predict suboptimal cytoreduction in ovarian cancer. KEY POINTS: • DWMRI is increasingly used in ovarian cancer. • DWMRI is an accurate technique for depicting intra-abdominal sites of implants • DWMRI is useful for predicting optimal cytoreductive surgical outcome. • We report a high predictive value similar to exploratory laparotomy.