Although the genus Prevotella is part of the general human flora, species of this anaerobic gram-negative bacteria have been described as cause of persisting nonpuerperal breast abscesses. Collecting ...punctate samples and testing these samples for anaerobic bacteria, is not part of the common diagnostic workflow in atypical breast abscesses. The causative anaerobic micro-organism can remain unclear and patients can be treated with multiple inadequate antibiotics and/or extensive surgical procedures. The aim of this cohort study of Prevotella induced breast abscesses is to gain more insights into the diagnostic procedures and treatment.
Medical charts of patients with a Prevotella induced breast abscess between 2015 and 2021, were retrospectively reviewed on patient characteristics, diagnostic procedures, treatment and outcome.
Twenty-one patients were included. Six subspecies of Prevotella were determined by culturing. High susceptibility was observed for amoxicillin/clavulanic acid (100%, n = 12). Nine patients (43%) were treated with antibiotics, eight patients (38%) with antibiotics and incision and drainage, and four patients (19%) with only incision and drainage. Recurrence was observed in nine patients (43%), of whom five patients were treated with antibiotics and three patients had surgery. The mean duration of antibiotic administration in patients with recurrence was significantly shorter compared to those without recurrence (5.6 days vs. 19.5 days, p = 0.039).
Specific anaerobic culturing should be common practice in atypical breast abscesses to confirm Prevotella species. The high recurrence rate emphasizes the need of further research for optimal treatment. Prolonged duration of antibiotics could be considered and amoxicillin/clavulanic acid seems to be the first choice.
Early onset cerebellar Ataxia (EOAc) comprises a large group of rare heterogeneous disorders. Determination of the underlying etiology can be difficult given the broad differential diagnosis and the ...complexity of the genotype–phenotype relationships. This may change the diagnostic work-up into a time-consuming, costly and not always rewarding task. In this overview, the Childhood Ataxia and Cerebellar Group of the European Pediatric Neurology Society (CACG-EPNS) presents a diagnostic algorithm for EOAc patients. In seven consecutive steps, the algorithm leads the clinician through the diagnostic process, including EOA identification, application of the Inventory of Non-Ataxic Signs (INAS), consideration of the family history, neuro-imaging, laboratory investigations, genetic testing by array CGH and Next Generation Sequencing (NGS). In children with EOAc, this algorithm is intended to contribute to the diagnostic process and to allow uniform data entry in EOAc databases.
•This algorithm will guide the clinician through the diagnostic process of EOA.•We provide clear phenotypic descriptions to target genetic investigations.•The reader will obtain an overview of known genetic causes.
Although the genus Prevotella is part of the general human microbiota, species of this anaerobic gram-negative bacterium have been described as causes of persisting nonpuerperal breast abscesses. ...Collecting punctate samples and testing these samples for anaerobic bacteria is not part of the common diagnostic workflow in atypical breast abscesses. The causative anaerobic micro-organism can remain unclear and patients can be treated with multiple inadequate antibiotics and/or extensive surgical procedures. The aim of this cohort study of Prevotella induced breast abscesses is to gain more insights into the diagnostic procedures and treatment.
Medical charts of patients with a Prevotella induced breast abscess between 2015 and 2021, were retrospectively reviewed on patient characteristics, diagnostic procedures, treatment and outcome.
Twenty-one patients were included. Six subspecies of Prevotella were determined by culturing. High susceptibility was observed for amoxicillin/clavulanic acid (100%, n = 12). Nine patients (43%) were treated with antibiotics, eight patients (38%) with antibiotics and incision and drainage, and four patients (19%) with only incision and drainage. Recurrence was observed in nine patients (43%), of whom five patients were treated with antibiotics and three patients had surgery. The mean duration of antibiotic administration in patients with recurrence was significantly shorter compared to those without recurrence (5.6 days vs. 19.5 days, p = 0.039).
Specific anaerobic culturing should be common practice in atypical breast abscesses to confirm Prevotella species. The high recurrence rate emphasizes the need of further research for optimal treatment. Prolonged duration of antibiotics could be considered and amoxicillin/clavulanic acid seems to be the first choice.
•Prevotella has been described as a cause of persisting nonpuerperal breast abscesses.•It is essential to exclude cancer as soon as possible in atypical breast abscesses.•The diagnostic process of Prevotella is challenging.•Anaerobic culturing with a punctate/aspirate should be added to the diagnostic process.•Prolonged duration of antimicrobial therapy could be considered.
In colorectal cancer surgery there is a delicate balance between complete removal of the tumor and sparing as much healthy tissue as possible. Especially in rectal cancer, intraoperative tissue ...recognition could be of great benefit in preventing positive resection margins and sparing as much healthy tissue as possible. To better guide the surgeon, we evaluated the accuracy of diffuse reflectance spectroscopy (DRS) for tissue characterization during colorectal cancer surgery and determined the added value of DRS when compared to clinical judgement.
DRS spectra were obtained from fat, healthy colorectal wall and tumor tissue during colorectal cancer surgery and results were compared to histopathology examination of the measurement locations. All spectra were first normalized at 800 nm, thereafter two support vector machines (SVM) were trained using a tenfold cross-validation. With the first SVM fat was separated from healthy colorectal wall and tumor tissue, the second SVM distinguished healthy colorectal wall from tumor tissue.
Patients were included based on preoperative imaging, indicating advanced local stage colorectal cancer. Based on the measurement results of 32 patients, the classification resulted in a mean accuracy for fat, healthy colorectal wall and tumor of 0.92, 0.89 and 0.95 respectively. If the classification threshold was adjusted such that no false negatives were allowed, the percentage of false positive measurement locations by DRS was 25% compared to 69% by clinical judgement.
This study shows the potential of DRS for the use of tissue classification during colorectal cancer surgery. Especially the low false positive rate obtained for a false negative rate of zero shows the added value for the surgeons. Trail registration This trail was performed under approval from the internal review board committee (Dutch Trail Register NTR5315), registered on 04/13/2015, https://www.trialregister.nl/trial/5175 .
In the last decades, laparoscopic surgery has become the gold standard in patients with colorectal cancer. To overcome the drawback of reduced tactile feedback, real-time tissue classification could ...be of great benefit. In this ex vivo study, hyperspectral imaging (HSI) was used to distinguish tumor tissue from healthy surrounding tissue. A sample of fat, healthy colorectal wall, and tumor tissue was collected per patient and imaged using two hyperspectral cameras, covering the wavelength range from 400 to 1700 nm. The data were randomly divided into a training (75%) and test (25%) set. After feature reduction, a quadratic classifier and support vector machine were used to distinguish the three tissue types. Tissue samples of 32 patients were imaged using both hyperspectral cameras. The accuracy to distinguish the three tissue types using both hyperspectral cameras was 0.88 (STD = 0.13) on the test dataset. When the accuracy was determined per patient, a mean accuracy of 0.93 (STD = 0.12) was obtained on the test dataset. This study shows the potential of using HSI in colorectal cancer surgery for fast tissue classification, which could improve clinical outcome. Future research should be focused on imaging entire colon/rectum specimen and the translation of the technique to an intraoperative setting.
In orthopedic surgery, patient-specific bone plates are used for fixation when conventional bone plates do not fit the specific anatomy of a patient. However, plate failure can occur due to a lack of ...properly established design parameters that support optimal biomechanical properties of the plate.
This review provides an overview of design parameters and biomechanical properties of patient-specific bone plates, which can assist in the design of the optimal plate.
A literature search was conducted through PubMed and Embase, resulting in the inclusion of 78 studies, comprising clinical studies using patient-specific bone plates for fracture fixation or experimental studies that evaluated biomechanical properties or design parameters of bone plates. Biomechanical properties of the plates, including elastic stiffness, yield strength, tensile strength, and Poisson’s ratio are influenced by various factors, such as material properties, geometry, interface distance, fixation mechanism, screw pattern, working length and manufacturing techniques.
Although variations within studies challenge direct translation of experimental results into clinical practice, this review serves as a useful reference guide to determine which parameters must be carefully considered during the design and manufacturing process to achieve the desired biomechanical properties of a plate for fixation of a specific type of fracture.
Graphical Abstract
The main challenge for radical resection in oral cancer surgery is to obtain adequate resection margins. Especially the deep margin, which can only be estimated based on palpation during surgery, is ...often reported inadequate. To increase the percentage of radical resections, there is a need for a quick, easy, minimal invasive method, which assesses the deep resection margin without interrupting or prolonging surgery. This systematic review provides an overview of technologies that are currently being studied with the aim of fulfilling this demand.
A literature search was conducted through the databases Medline, Embase and the Cochrane Library. A total of 62 studies were included. The results were categorized according to the type of technique: ‘Frozen Section Analysis’, ‘Fluorescence’, ‘Optical Imaging’, ‘Conventional imaging techniques’, and ‘Cytological assessment’. This systematic review gives for each technique an overview of the reported performance (accuracy, sensitivity, specificity, positive predictive value, negative predictive value, or a different outcome measure), acquisition time, and sampling depth.
At the moment, the most prevailing technique remains frozen section analysis. In the search for other assessment methods to evaluate the deep resection margin, some technologies are very promising for future use when effectiveness has been shown in larger trials, e.g., fluorescence (real-time, sampling depth up to 6 mm) or optical techniques such as hyperspectral imaging (real-time, sampling depth few mm) for microscopic margin assessment and ultrasound (less than 10 min, sampling depth several cm) for assessment on a macroscopic scale.
•There is a need for a method that assesses the deep resection margin during surgery•This systematic review provides an overview of techniques that fulfill this demand•The techniques were evaluated on performance, acquisition time and sampling depth•The most prevailing technique remains frozen section analysis•Methods that are promising are fluorescence, optical analysis and ultrasound
Objective: The utilization of hyperspectral imaging (HSI) in real-time tumor segmentation during a surgery have recently received much attention, but it remains a very challenging task. Methods: In ...this work, we propose semantic segmentation methods, and compare them with other relevant deep learning algorithms for tongue tumor segmentation. To the best of our knowledge, this is the first work using deep learning semantic segmentation for tumor detection in HSI data using channel selection, and accounting for more spatial tissue context, and global comparison between the prediction map, and the annotation per sample. Results, and Conclusion: On a clinical data set with tongue squamous cell carcinoma, our best method obtains very strong results of average dice coefficient, and area under the ROC-curve of <inline-formula><tex-math notation="LaTeX">\text{0.891}\pm \text{0.053}</tex-math></inline-formula>, and <inline-formula><tex-math notation="LaTeX">\text{0.924}\pm \text{0.036}</tex-math></inline-formula>, respectively on the original spatial image size. The results show that a very good performance can be achieved even with a limited amount of data. We demonstrate that important information regarding tumor decision is encoded in various channels, but some channel selection, and filtering is beneficial over the full spectra. Moreover, we use both visual (VIS), and near-infrared (NIR) spectrum, rather than commonly used only VIS spectrum; although VIS spectrum is generally of higher significance, we demonstrate NIR spectrum is crucial for tumor capturing in some cases. Significance: The HSI technology augmented with accurate deep learning algorithms has a huge potential to be a promising alternative to digital pathology or a doctors' supportive tool in real-time surgeries.
Image-to-patient registration in navigated mandibular surgery is complex due to the mobile nature of the mandible compared with other craniofacial bones. As a result, surgical navigation is rarely ...employed in the mandibular region. This systematic review provides an overview of the different registration methods that are used for surgical navigation of the mandible. A systematic search was performed in the MEDLINE Ovid, Scopus, and Embase databases on March 25, 2021. Search terms included synonyms for mandibular surgery, surgical navigation, and registration methods. Articles about navigated mandibular surgery, where the registration method was explicitly mentioned, were included. The database search yielded a total of 2952 articles, from which 81 articles remained for analysis. Four main registration methods were identified: point registration, surface registration, hybrid registration, and computer vision-based registration. The mobility of the mandible is accounted for by either keeping the mandible in a fixed position during preoperative imaging and surgery, or by tracking the mandibular movements. Although different registration methods are available for navigated mandibular surgery, there is always a trade-off between accuracy, registration time, usability, and invasiveness. Future studies should focus on testing the different methods in larger patient studies and should report the registration accuracy.
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