BACKGROUND: Isolated injury to the superior mesenteric vein (SMV) caused by blunt abdominal trauma is rare but often lethal, especially in pediatric patients. Due to the low incidence of SMV injuries, there are no universal guidelines for its diagnosis and treatment. The diagnosis is made using either computed tomography (CT) or intraoperative exploration. Primary vascular repair is recommended. CASE REPORT: A 10-year-old girl was transferred to a trauma center after a high-energy motor vehicle collision. Under the diagnosis of acute abdomen with hemoperitoneum, the patient underwent urgent laparotomy, 34 min after admission to the hospital. A complete laceration of the SMV trunk was observed. Definitive vascular repair of the transected SMV was performed. An interposition graft from the internal jugular vein was used with a good postoperative course. CONCLUSION: This case report demonstrates that definitive vascular repair of the SMV reduces the risk of intestinal ischemia and should be performed in cases where ligation presents a real threat to small bowel viability. In cases of severe SMV injury, the internal jugular vein is a high-quality and easily accessible graft.
- MeSH
- Child MeSH
- Accidents, Traffic MeSH
- Lacerations * surgery etiology MeSH
- Laparotomy methods MeSH
- Humans MeSH
- Tomography, X-Ray Computed MeSH
- Abdominal Injuries * complications surgery diagnosis MeSH
- Vascular System Injuries * surgery etiology diagnosis MeSH
- Wounds, Nonpenetrating * complications surgery diagnosis MeSH
- Mesenteric Veins * injuries surgery diagnostic imaging MeSH
- Vascular Surgical Procedures methods MeSH
- Check Tag
- Child MeSH
- Humans MeSH
- Female MeSH
- Publication type
- Journal Article MeSH
- Case Reports MeSH
BACKGROUND: Skeletal muscle alterations are associated with higher mortality and morbidity in patients with liver cirrhosis. Assessing these changes seems to be a promising method for identifying patients at a high risk of poor outcomes following liver transplantation (LT). This is particularly important given the current global shortage of organ donors. However, evidence of the impact of these alterations on the prognosis of patients undergoing LT is inconclusive. The aim of our prospective study was to evaluate the impact of skeletal muscle changes, reflected in sarcopenia, myosteatosis and metabolic changes in the calf muscles, on perioperative outcomes and long-term survival after LT. We also sought to determine the posttransplant evolution of the resting muscle metabolism. METHODS: We examined 134 adult LT candidates. Of these, 105 underwent LT. Sarcopenia and myosteatosis were diagnosed by measuring the skeletal muscle index and mean psoas muscle radiation attenuation, respectively, which were obtained from computed tomography (CT) scans taken during pretransplant assessment. Additionally, patients underwent 31P MR spectroscopy (MRS) of the calf muscles at rest before LT and 6, 12 and 24 months thereafter. The median follow-up was 6 years. RESULTS: Patients with abnormal 31P MRS results and CT-diagnosed myosteatosis prior to LT had significantly worse long-term survival after LT (hazard ratio (HR), 3.36; 95% confidence interval (CI), 1.48-7.60; p = 0.0021 and HR, 2.58; 95% CI, 1.06-6.29; p = 0.03, respectively). Multivariable analysis showed that abnormal 31P MR spectra (HR, 3.40; 95% CI, 1.50-7.71; p = 0.003) were a better predictor of worse long-term survival after LT than myosteatosis (HR, 2.78; 95% CI, 1.14-6.78; p = 0.025). Patients with abnormal 31P MR spectra had higher blood loss during LT (p = 0.038), required a higher number of red blood cell transfusions (p = 0.006) and stayed longer in ICU (p = 0.041) and hospital (p = 0.007). Myosteatosis was associated with more revision surgeries following LT (p = 0.038) and a higher number of received red blood cell transfusion units (p = 0.002). Sarcopenia had no significant effect on posttransplant patient survival. An improvement in the resting metabolism of the calf muscles was observed at 12 and 24 months after LT. CONCLUSIONS: Abnormal 31P MRS results of calf muscles were superior to CT-based diagnosis of myosteatosis and sarcopenia in predicting perioperative complications and long-term survival after LT. Resting muscle metabolism normalized 1 year after LT in most recipients.
- MeSH
- Adult MeSH
- Muscle, Skeletal * diagnostic imaging metabolism MeSH
- Middle Aged MeSH
- Humans MeSH
- Magnetic Resonance Spectroscopy * methods MeSH
- Tomography, X-Ray Computed * methods MeSH
- Prognosis MeSH
- Prospective Studies MeSH
- Sarcopenia etiology metabolism MeSH
- Aged MeSH
- Liver Transplantation * MeSH
- Check Tag
- Adult MeSH
- Middle Aged MeSH
- Humans MeSH
- Male MeSH
- Aged MeSH
- Female MeSH
- Publication type
- Journal Article MeSH
The sacroiliac joint (SIJ) exhibits significant variation in auricular surface morphology. This variation influences the mechanics of the SIJ, a central node for transmitting mechanical energy from upper body to lower limbs and vice versa. The impact of the auricular surface morphology on stress and deformation in the SIJ remains poorly understood to date. Computed tomography scans obtained from 281 individuals were included to extract the geometry of the pelvic ring. Then, the auricular surface area, SIJ cartilage thickness, and total SIJ cartilage volume were identified. Based on these reconstructions, 281 finite element models were created to simulate SIJ mechanical loading. It was found that SIJ cartilage thickness only weakly depended on age or laterality, while being strongly sex sensitive. Auricular surface area and SIJ cartilage volume depended weakly and non-linearly on age, peaking around menopause in females, but without significant laterality effect. Larger SIJs, characterized by greater auricular area and cartilage volume, exhibited reduced stress and deformation under loading. These findings highlight the significant role of SIJ morphology in its biomechanical response, suggesting a potential link between morphological variations and the risk of SIJ dysfunction. Understanding this relationship could improve diagnosis and targeted treatment strategies for SIJ-related conditions.
- MeSH
- Finite Element Analysis MeSH
- Biomechanical Phenomena physiology MeSH
- Adult MeSH
- Middle Aged MeSH
- Humans MeSH
- Stress, Mechanical MeSH
- Adolescent MeSH
- Young Adult MeSH
- Tomography, X-Ray Computed * MeSH
- Sacroiliac Joint * anatomy & histology physiology diagnostic imaging MeSH
- Aged, 80 and over MeSH
- Aged MeSH
- Check Tag
- Adult MeSH
- Middle Aged MeSH
- Humans MeSH
- Adolescent MeSH
- Young Adult MeSH
- Male MeSH
- Aged, 80 and over MeSH
- Aged MeSH
- Female MeSH
- Publication type
- Journal Article MeSH
PURPOSE OF REVIEW: Upper tract urothelial carcinoma (UTUC) is a rare malignancy posing significant diagnostic and management challenges. This review provides an overview of the evidence supporting various imaging modalities and offers insights into future innovations in UTUC imaging. RECENT FINDINGS: With the growing use of advancements in computed tomography (CT) technologies for both staging and follow-up of UTUC patients, continuous innovations aim to enhance performance and minimize the risk of excessive exposure to ionizing radiation and iodinated contrast medium. In patients unable to undergo CT, magnetic resonance imaging serves as an alternative imaging modality, though its sensitivity is lower than CT. Positron emission tomography, particularly with innovative radiotracers and theranostics, has the potential to significantly advance precision medicine in UTUC. Endoscopic imaging techniques including advanced modalities seem to be promising in improved visualization and diagnostic accuracy, however, evidence remains scarce. Radiomics and radiogenomics present emerging tools for noninvasive tumor characterization and prognosis. SUMMARY: The landscape of imaging for UTUC is rapidly evolving, with significant advancements across various modalities promising improved diagnostic accuracy, patient outcomes, and safety.
- MeSH
- Carcinoma, Transitional Cell * diagnosis diagnostic imaging therapy pathology MeSH
- Humans MeSH
- Magnetic Resonance Imaging methods MeSH
- Kidney Neoplasms diagnostic imaging therapy diagnosis pathology MeSH
- Ureteral Neoplasms diagnostic imaging diagnosis therapy pathology MeSH
- Tomography, X-Ray Computed methods MeSH
- Positron-Emission Tomography methods MeSH
- Neoplasm Staging MeSH
- Urologic Neoplasms diagnosis diagnostic imaging therapy pathology MeSH
- Check Tag
- Humans MeSH
- Publication type
- Journal Article MeSH
- Review MeSH
G protein-coupled receptors (GPCRs) play a crucial role in cell function by transducing signals from the extracellular environment to the inside of the cell. They mediate the effects of various stimuli, including hormones, neurotransmitters, ions, photons, food tastants and odorants, and are renowned drug targets. Advancements in structural biology techniques, including X-ray crystallography and cryo-electron microscopy (cryo-EM), have driven the elucidation of an increasing number of GPCR structures. These structures reveal novel features that shed light on receptor activation, dimerization and oligomerization, dichotomy between orthosteric and allosteric modulation, and the intricate interactions underlying signal transduction, providing insights into diverse ligand-binding modes and signalling pathways. However, a substantial portion of the GPCR repertoire and their activation states remain structurally unexplored. Future efforts should prioritize capturing the full structural diversity of GPCRs across multiple dimensions. To do so, the integration of structural biology with biophysical and computational techniques will be essential. We describe in this review the progress of nuclear magnetic resonance (NMR) to examine GPCR plasticity and conformational dynamics, of atomic force microscopy (AFM) to explore the spatial-temporal dynamics and kinetic aspects of GPCRs, and the recent breakthroughs in artificial intelligence for protein structure prediction to characterize the structures of the entire GPCRome. In summary, the journey through GPCR structural biology provided in this review illustrates how far we have come in decoding these essential proteins architecture and function. Looking ahead, integrating cutting-edge biophysics and computational tools offers a path to navigating the GPCR structural landscape, ultimately advancing GPCR-based applications. LINKED ARTICLES: This article is part of a themed issue Complexity of GPCR Modulation and Signaling (ERNST). To view the other articles in this section visit http://onlinelibrary.wiley.com/doi/10.1111/bph.v182.14/issuetoc.
- MeSH
- Protein Conformation MeSH
- Humans MeSH
- Receptors, G-Protein-Coupled * chemistry metabolism MeSH
- Animals MeSH
- Check Tag
- Humans MeSH
- Animals MeSH
- Publication type
- Journal Article MeSH
- Review MeSH
The topic of the diagnosis of phaeochromocytomas remains highly relevant because of advances in laboratory diagnostics, genetics, and therapeutic options and also the development of imaging methods. Computed tomography still represents an essential tool in clinical practice, especially in incidentally discovered adrenal masses; it allows morphological evaluation, including size, shape, necrosis, and unenhanced attenuation. More advanced post-processing tools to analyse digital images, such as texture analysis and radiomics, are currently being studied. Radiomic features utilise digital image pixels to calculate parameters and relations undetectable by the human eye. On the other hand, the amount of radiomic data requires massive computer capacity. Radiomics, together with machine learning and artificial intelligence in general, has the potential to improve not only the differential diagnosis but also the prediction of complications and therapy outcomes of phaeochromocytomas in the future. Currently, the potential of radiomics and machine learning does not match expectations and awaits its fulfilment.
- MeSH
- Pheochromocytoma * diagnostic imaging MeSH
- Humans MeSH
- Adrenal Gland Neoplasms * diagnostic imaging MeSH
- Paraganglioma * diagnostic imaging MeSH
- Tomography, X-Ray Computed methods MeSH
- Image Processing, Computer-Assisted methods MeSH
- Radiomics MeSH
- Machine Learning MeSH
- Artificial Intelligence MeSH
- Check Tag
- Humans MeSH
- Publication type
- Journal Article MeSH
- Research Support, Non-U.S. Gov't MeSH
- Review MeSH
BACKGROUND: Existing radiological markers of hematoma expansion (HE) show modest predictive accuracy. We aim to investigate a novel radiological marker that co-localizes findings from non-contrast CT (NCCT) and CT angiography (CTA) to predict HE. METHODS: Consecutive acute intracerebral hemorrhage patients admitted at Foothills Medical Centre in Calgary, Canada, were included. The Black-&-White sign was defined as any visually identified spot sign on CTA co-localized with a hypodensity sign on the corresponding NCCT. The primary outcome was hematoma expansion (⩾6 mL or ⩾33%). Secondary outcomes included absolute (<3, 3-6, 6-12, ⩾12 mL) and relative (0%, <25%, 25%-50%, 50%-75%, or >75%) hematoma growth scales. RESULTS: Two-hundred patients were included, with 50 (25%) experiencing HE. Forty-four (22%) showed the spot sign, 69 (34.5%) the hypodensity sign, and 14 (7%) co-localized both as the Black-&-White sign. Those with the Black-&-White sign had higher proportions of HE (100% vs 19.4%, p < 0.001), greater absolute hematoma growth (23.37 mL (IQR = 15.41-30.27) vs 0 mL (IQR = 0-2.39), p < 0.001) and relative hematoma growth (120% (IQR = 49-192) vs 0% (0-15%), p < 0.001). The Black-&-White sign had a specificity of 100% (95%CI = 97.6%-100%), a positive predictive value of 100% (95%CI = 76.8%-100%), and an overall accuracy of 82% (95%CI = 76%-87.1%). Among the 14 patients with the Black-&-White sign, 13 showed an absolute hematoma growth ⩾12 mL, and 10 experienced a HE exceeding 75% of the initial volume. The inter-rater agreement was excellent (kappa coefficient = 0.84). CONCLUSION: The Black-&-White sign is a robust predictor of hematoma expansion occurrence and severity, yet further validation is needed to confirm these compelling findings.
- MeSH
- Cerebral Hemorrhage * diagnostic imaging MeSH
- Computed Tomography Angiography * methods MeSH
- Hematoma * diagnostic imaging MeSH
- Middle Aged MeSH
- Humans MeSH
- Cerebral Angiography * methods MeSH
- Tomography, X-Ray Computed * methods MeSH
- Predictive Value of Tests MeSH
- Retrospective Studies MeSH
- Aged, 80 and over MeSH
- Aged MeSH
- Check Tag
- Middle Aged MeSH
- Humans MeSH
- Male MeSH
- Aged, 80 and over MeSH
- Aged MeSH
- Female MeSH
- Publication type
- Journal Article MeSH
Five cases of patients with systemic connective tissue diseases (CTD) who developed connective tissue disease-associated interstitial lung disease (CTD-ILD) with progressive pulmonary fibrosis (PPF) are reported here. Unspecified ILD was diagnosed using high-resolution computed tomography (HRCT). Histologically, all cases were usual interstitial pneumonia (UIP) with findings of advanced (3/5) to diffuse (2/5) fibrosis, with a partially (4/5) to completely (1/5) formed image of a honeycomb lung. The fibrosis itself spread subpleurally and periseptally to more central parts (2/5) of the lung, around the alveolar ducts (2/5), or even without predisposition (1/5). Simultaneously, there was architectural reconstruction based on the mutual fusion of fibrosis without compression of the surrounding lung parenchyma (1/5), or with its compression (4/5). The whole process was accompanied by multifocal (1/5), dispersed (2/5), or organized inflammation in aggregates and lymphoid follicles (2/5). As a result of continuous fibroproduction and maturation of the connective tissue, the alveolar septa thickened, delimiting groups of alveoli that merged into air bullae. Few indistinctly visible (2/5), few clearly visible (1/5), multiple indistinctly visible (1/5), and multiple clearly visible (1/5) fibroblastic foci were present. Among the concomitant changes, areas of emphysema, bronchioloectasia, and bronchiectasis, as well as bronchial and vessel wall hypertrophy, and mucostasis in the alveoli and edema were observed. The differences in the histological appearance of usual interstitial pneumonia associated with systemic connective tissue diseases (CTD-UIP) versus the pattern associated with idiopathic pulmonary fibrosis (IPF-UIP) are discussed here. The main differences lie in spreading lung fibrosis, architectural lung remodeling, fibroblastic foci, and inflammatory infiltrates.
- MeSH
- Adult MeSH
- Idiopathic Pulmonary Fibrosis pathology complications MeSH
- Lung Diseases, Interstitial * pathology complications MeSH
- Middle Aged MeSH
- Humans MeSH
- Connective Tissue Diseases * pathology complications MeSH
- Lung pathology diagnostic imaging MeSH
- Tomography, X-Ray Computed MeSH
- Aged MeSH
- Check Tag
- Adult MeSH
- Middle Aged MeSH
- Humans MeSH
- Male MeSH
- Aged MeSH
- Female MeSH
- Publication type
- Journal Article MeSH
- Case Reports MeSH
Nazolabiální cysta (NC), známá také jako Klestadtova cysta, je vzácná neodontogenní cystická leze měkkých tkání maxilofaciální oblasti, která predominantně postihuje ženy ve středním věku. Typicky bývá asymptomatická, může ale způsobovat otok v nazolabiální oblasti nebo nosní obturaci. Prezentované kazuistiky popisují případy dvou pacientek, kterým byla NC diagnostikována, ale každá podstoupila jiný typ operačního výkonu, nicméně s dobrým klinickým výsledkem v obou případech, kdy jsou obě bez obtíží a recidivy. Léze byla poprvé popsána v roce 1882 a později zkoumána Walterem Klestadtem v roce 1953. Diagnóza se obvykle provádí pomocí CT a MR, s chirurgickou excizí jako preferovanou metodou léčby. Recidiva po operaci je vzácná a prognóza velmi příznivá.
Nasolabial cyst (NC), also known as Klestadt‘s cyst, a is a rare non-odontogenic cystic lesion of the soft tissues in the maxillofacial area, predominantly affecting middle-aged women. It typically presents asymptomatically but can cause swelling in the nasolabial region or nasal obstruction. Case reports describe two patients diagnosed with NC who underwent different types of surgical procedures, both resulting in good clinical outcomes, with both patients remaining symptom-free and without recurrence. The lesion was first described in 1882 and later studied by Walter Klestadt in 1953. Dia gnosis is typically performed using CT and MRI, with surgical excision being the preferred method of treatment. Recurrence after surgery is rare, and the prognosis is very favourable.
- Keywords
- Klestadtova cysta,
- MeSH
- Cysts surgery diagnosis classification MeSH
- Diagnosis, Differential MeSH
- Adult MeSH
- Nonodontogenic Cysts * surgery diagnostic imaging diagnosis classification MeSH
- Middle Aged MeSH
- Humans MeSH
- Magnetic Resonance Imaging methods MeSH
- Nasal Obstruction diagnosis etiology MeSH
- Otorhinolaryngologic Surgical Procedures methods MeSH
- Tomography, X-Ray Computed methods MeSH
- Check Tag
- Adult MeSH
- Middle Aged MeSH
- Humans MeSH
- Female MeSH
- Publication type
- Case Reports MeSH
BACKGROUND: The objective of this study was to develop a novel method for creating highly detailed three-dimensional physical models of lung lobes, incorporating tumour morphology and surrounding structures, with the aim of improving the assessment of operability for central lung tumours. CASE PRESENTATION: A method was developed that uses standard computed tomography (CT) scans to mark the desired structures and generate a three-dimensional image for physical model creation. The generated STL files can be seamlessly integrated into virtual reality, allowing the sharing of selected CT scan data. Our approach has been successfully integrated into clinical practice, enabling multidisciplinary teams to make informed decisions for patients with central lung tumours. We have reduced the preparation time of physical models from 100 h to 18 h. CONCLUSIONS: The novel method, which employs 3D printing technology, has enhanced the assessment of operability for central lung tumours, thereby facilitating more precise decisions regarding patient management. This innovative approach has the potential to enhance patient outcomes by reducing complications and optimizing treatment planning.
- MeSH
- Printing, Three-Dimensional * MeSH
- Models, Anatomic * MeSH
- Humans MeSH
- Lung Neoplasms * diagnostic imaging surgery pathology MeSH
- Lung diagnostic imaging MeSH
- Tomography, X-Ray Computed MeSH
- Imaging, Three-Dimensional * methods MeSH
- Check Tag
- Humans MeSH
- Publication type
- Journal Article MeSH
- Case Reports MeSH