Endoscopic drainage of orbital abscesses aided with intraoperative sonography

Background and purpose Accurate localization and adequate visualization of the superiorly or inferiorly located subperiosteal orbital abscesses or intraorbital abscess is difficult with transnasal endoscopic approach. Sonography is a well-known and effective tool for evaluation of orbital pathologies but no paper documenting intraoperative application of this method in orbital abscess surgery has been published to date. Material and methods We present a series of 12 patients in whom orbital abscesses were drained endoscopically with an aid of neuronavigation and intraoperative ultrasonography. The abscesses were localized subperiosteally in the medial (n=6), superior (n=2) or inferior (n=1) part of the orbit whereas in 3 patients the abscess was localized in the intraconal space. Results According to intraoperative sonographic imaging complete drainage of the abscess was achieved in 11 out of 12 patients and no complications occurred. Intraoperative sonography helped to limit opening of the orbital wall in the medial subperiosteal abscesses, enabled check-up for completeness of drainage of the far extending pouches in the superior and inferior subperiosteal abscesses and enabled visualization of the tip of surgical instrument when reaching deeply located intraorbital abscesses. Conclusions Intraoperative ultrasonography facilitates the endoscopic management of orbital abscesses, especially those which are difficult to reach due to subperiosteal location in the superior and inferior parts of the orbit, or abscesses localized intraorbitally

Early outcomes and perioperative complications of endovascular embolization in patients with aneurysmal SAH

Background We still lack reliable data on the outcomes of endovascular coiling for ruptured cerebral aneurysms. As this is still an evolving technique, the outcomes of the procedures performed in the past and more recently cannot be directly compared. We present the early outcomes of endovascular coiling in a relatively large group of patients with ruptured intracranial aneurysms. Method The study included 190 consecutive patients (a total of 216 aneurysms) subjected to endovascular coiling in 2006–2013 (127 women aged 56±13 years and 63 men aged 50± 15 years). Up to 87.5% of the aneurysms were located within anterior circulation. Most patients presented with “mild to moderate” subarachnoid hemorrhages (85% of Hunt &Hess scores 1–3, and 72% of Fisher scores 1–3). Results Embolization was feasible in 176 (92.6%) patients. In 14 cases, the embolization was not attainable due to unfavorable anatomy of the aneurysm, intraoperative vasospasm and/or aneurysm rupture, or prolapse of a coil. Early complications related to the procedure were recorded in 23 (13.1%) patients. The most common perioperative complication was aneurysm rupture. All fatal complications occurred in patients with aneurysms located at the anterior circle of Willis. At the time of discharge, 126 patients scored 4 or 5 on the Glasgow Outcome Scale. Conclusions Endovascular embolization is an effective and relatively safe method for treatment of ruptured cerebral aneurysms. Complications related to the procedure are significantly less frequent in the case of vertebral-basilar complex aneurysms

Endoscopic transconjunctival surgical approach to intraconal space of the orbit: First clinical experience

Background and purpose Recently, a transconjunctival, endoscope-assisted (TEA) approach to the medial intra-orbital space was developed based on cadaver preparations, with an ultimate goal of minimizing disturbances of the anatomic structures of the orbit. However, no report on clinical validation of this promising technique was published thus far. We present our experiences with the TEA approach in two patients. Material and methods In emergency conditions, we approached the lateral retrobulbar space of a 42-year-old male through a 180° incision close to the corneal limbus; a scrap of metal, which had perforated the globe and resided at its posterior wall, was removed endoscopically. Moreover, we used the TEA approach to remove a tumor from the upper intraconal space in a 63-year-old woman. Results In both patients the surgical goal was achieved with no muscle transection and without additional morbidity and complications. Conclusions Our experiences with TEA approach suggest that the procedure is clinically feasible, produces no co-morbidity and yields good functional and cosmetic results. As a result, the whole circumference of the retrobulbar space can be conveniently explored

Skuteczność przezczaszkowej ultrasonografii z przepływem krwi kodowanym kolorami w diagnostyce skurczu tętnicy przedniej mózgu

Background and purpose Transcranial colour-coded sonography (TCCS) has been proven to be a method of high performance in the diagnosis of spasm of the middle cerebral artery (MCA). Relevant data concerning the anterior cerebral artery (ACA) varies amongst studies. The aim of this study was to assess the performance of TCCS in the diagnosis of spasm affecting the ACA. Material and methods Ninety-two patients (39 women and 53 men, age 51 ± 12.1 years) were examined using TCCS before cerebral angiography. Of 184 examined ACAs, only 133 arteries could be visualized due to insufficiency of the temporal acoustic window. Therefore, only 15 out of 25 arteries in which vasospasm was diagnosed with angiography (by two neuroradiologists not informed about the sonographic findings) could be included in the analysis. Receiver operating characteristic (ROC) curves were constructed for specific blood flow velocities: peak systolic (PSV), mean (M) and end-diastolic (EDV). The area under the ROC curve was used to measure the overall diagnostic performance of TCCS. Results The area under the ROC curve for PSV was 0.83, which indicates good performance. The PSV threshold of 98 cm/s corresponded to maximum accuracy and was associated with 71% sensitivity vs. 88% specificity. Average systolic blood flow velocity in the vessels with vasospasm was 129 cm/s, whereas in unaffected vessels it was 76 cm/s. Conclusions The accuracy of TCCS in the diagnosis of ACA spasm is relatively high – the value of the area under the ROC amounts to 0.83. PSV performs best and the threshold of 98 cm/s is associated with an optimal trade-off between sensitivity and specificity.Wstęp i cel pracy Prędkość krwi w naczyniu zwiększa się w czasie jego skurczu. Przezczaszkowa ultrasonografia dopplerowska z kodowanym kolorami przepływem krwi (transcranial colour-coded sonography – TCCS) to uznana metoda w diagnostyce skurczu tętnicy środkowej mózgu. Dane dotyczące czułości i swoistości tej metody w diagnostyce skurczu tętnicy przedniej mózgu nie są jednak jednoznaczne. Materiał i metody Za pomocą TCCS wykonanej bezpośrednio przed wykonaniem angiografii mózgowej zbadano 92 pacjentów. W badaniu wzięło udział 39 kobiet i 53 mężczyzn (średnia wieku: 51 ± 12,1 roku). Ze 184 badanych tętnic przednich mózgu tylko 133 mogły być uwidocznione z powodu braku “okienka akustycznego” w kości skroniowej. Z tego powodu spośród 25 tętnic, w których angiograficznie stwierdzono skurcz naczyniowy (przez dwóch neuroradiolo-gów nieznających wyników sonograficznych), tylko 15 włączono do analizy statystycznej. Krzywą charakterystyki odbiornika (ROC) wyliczono dla prędkości skurczowej, średniej oraz końcoworozkurczowej. Wielkość pola pod krzywą ROC odpowiadała skuteczności diagnostycznej TCCS. Wyniki Wartość pola pod krzywą dla prędkości skurczowej krwi wyniosła 0,83, co odpowiada względnie wysokiej skuteczności metody w diagnostyce skurczu tętnicy przedniej mózgu. Największa skuteczność testu diagnostycznego związana jest z progiem prędkości skurczowej 98 cm/s, przy którym czułość testu wynosi 71%, a swoistość − 88%. Prędkość skurczowa w naczyniach objętych skurczem wynosiła średnio 129 cm/s, a bez skurczu − 76 cm/s. Wnioski Skuteczność TCCS w diagnostyce skurczu tętnicy przedniej mózgu jest względnie wysoka – wartość pola pod krzywą wynosi 0.83. Najlepszą relację czułości do swoistości metody osiąga się, stosując diagnostyczny próg prędkości 98 cm/s

Blood flow velocity in the middle cerebral artery during transnasal endoscopic skull base surgery performed in controlled hypotension

Background and purpose To assess blood flow velocity in the middle cerebral artery (MCA) during transnasal endoscopic procedures performed with decreased hemodynamic parameters. Materials and methods In 40 patients who underwent endoscopic skull base surgery in controlled hypotension (studied group) and in 13 patients operated without reduction of hemodynamic parameters (control group), blood flow velocity in MCA was assessed with transcranial color Doppler sonography. Results Blood flow velocity in MCA remained within the range of age-specific reference values in all patients before operation. It decreased significantly in both groups after induction of anesthesia and then dropped even further in studied group of patients when hemodynamic parameters were reduced; the systolic velocity fell below the normal reference values in 25% of patients, the mean velocity in 50% and the diastolic velocity in 57% of patients. The diastolic velocity was much more heavily influenced by diminished hemodynamic parameters than systolic velocity in the studied group as opposed to the control group where reduction of blood flow velocity pertained equally systolic and diastolic velocity. Conclusion During transnasal endoscopic procedures performed in moderate hypotension, in addition to significant drop of blood flow velocity to values well below the normal reference range, a divergent reduction of systolic and diastolic velocity was detected. Since divergent systolic and diastolic velocity may indicate an early phase of cerebral autoregulation compromise, and the decrease of mean blood flow velocity in MCA corresponds with a decrease of cerebral blood flow, further investigations in this field seem warranted

Monitoring Achilles tendon healing progress in ultrasound imaging with convolutional neural networks

Achilles tendon rupture is a debilitating injury, which is typically treated with surgical repair and long-term rehabilitation. The recovery, however, is protracted and often incomplete. Diagnosis, as well as healing progress assessment, are largely based on ultrasound and magnetic resonance imaging. In this paper, we propose an automatic method based on deep learning for analysis of Achilles tendon condition and estimation of its healing progress on ultrasound images. We develop custom convolutional neural networks for classification and regression on healing score and feature extraction. Our models are trained and validated on an acquired dataset of over 250.000 sagittal and over 450.000 axial ultrasound slices. The obtained estimates show a high correlation with the assessment of expert radiologists, with respect to all key parameters describing healing progress. We also observe that parameters associated with i.a. intratendinous healing processes are better modeled with sagittal slices. We prove that ultrasound imaging is quantitatively useful for clinical assessment of Achilles tendon healing process and should be viewed as complementary to magnetic resonance imaging.Comment: Paper accepted to MICCAI'19 SUSI worksho

Circulating serum miR-362-3p and miR-6721-5p as potential biomarkers for classification patients with adult-type diffuse glioma

According to the fifth edition of the WHO Classification of Tumours of the Central Nervous System (CNS) published in 2021, grade 4 gliomas classification includes IDH-mutant astrocytomas and wild-type IDH glioblastomas. Unfortunately, despite precision oncology development, the prognosis for patients with grade 4 glioma remains poor, indicating an urgent need for better diagnostic and therapeutic strategies. Circulating miRNAs besides being important regulators of cancer development could serve as promising diagnostic biomarkers for patients with grade 4 glioma. Here, we propose a two-miRNA miR-362-3p and miR-6721-5p screening signature for serum for non-invasive classification of identified glioma cases into the highest-grade 4 and lower-grade gliomas. A total of 102 samples were included in this study, comprising 78 grade 4 glioma cases and 24 grade 2–3 glioma subjects. Using the NanoString platform, seven miRNAs were identified as differentially expressed (DE), which was subsequently confirmed via RT-qPCR analysis. Next, numerous combinations of DE miRNAs were employed to develop classification models. The dual panel of miR-362-3p and miR-6721-5p displayed the highest diagnostic value to differentiate grade 4 patients and lower grade cases with an AUC of 0.867. Additionally, this signature also had a high AUC = 0.854 in the verification cohorts by RT-qPCR and an AUC = 0.842 using external data from the GEO public database. The functional annotation analyses of predicted DE miRNA target genes showed their primary involvement in the STAT3 and HIF-1 signalling pathways and the signalling pathway of pluripotency of stem cells and glioblastoma-related pathways. For additional exploration of miRNA expression patterns correlated with glioma, we performed the Weighted Gene-Co Expression Network Analysis (WGCNA). We showed that the modules most associated with glioma grade contained as many as six DE miRNAs. In conclusion, this study presents the first evidence of serum miRNA expression profiling in adult-type diffuse glioma using a classification based on the WHO 2021 guidelines. We expect that the discovered dual miR-362-3p and miR-6721-5p signatures have the potential to be utilised for grading gliomas in clinical applications

Estimating Achilles tendon healing progress with convolutional neural networks

Quantitative assessment of a treatment progress in the Achilles tendon healing process - one of the most common musculoskeletal disorder in modern medical practice - is typically a long and complex process: multiple MRI protocols need to be acquired and analysed by radiology experts. In this paper, we propose to significantly reduce the complexity of this assessment using a novel method based on a pre-trained convolutional neural network. We first train our neural network on over 500,000 2D axial cross-sections from over 3000 3D MRI studies to classify MRI images as belonging to a healthy or injured class, depending on the patient's condition. We then take the outputs of modified pre-trained network and apply linear regression on the PCA-reduced space of the features to assess treatment progress. Our method allows to reduce up to 5-fold the amount of data needed to be registered during the MRI scan without any information loss. Furthermore, we are able to predict the healing process phase with equal accuracy to human experts in 3 out of 6 main criteria. Finally, contrary to the current approaches to regeneration assessment that rely on radiologist subjective opinion, our method allows to objectively compare different treatments methods which can lead to improved diagnostics and patient's recovery.Comment: Paper accepted to MICCAI'1

A comparison of different machine-learning techniques for the selection of a panel of metabolites allowing early detection of brain tumors

Abstract Metabolomics combined with machine learning methods (MLMs), is a powerful tool for searching novel diagnostic panels. This study was intended to use targeted plasma metabolomics and advanced MLMs to develop strategies for diagnosing brain tumors. Measurement of 188 metabolites was performed on plasma samples collected from 95 patients with gliomas (grade I–IV), 70 with meningioma, and 71 healthy individuals as a control group. Four predictive models to diagnose glioma were prepared using 10 MLMs and a conventional approach. Based on the cross-validation results of the created models, the F1-scores were calculated, then obtained values were compared. Subsequently, the best algorithm was applied to perform five comparisons involving gliomas, meningiomas, and controls. The best results were obtained using the newly developed hybrid evolutionary heterogeneous decision tree (EvoHDTree) algorithm, which was validated using Leave-One-Out Cross-Validation, resulting in an F1-score for all comparisons in the range of 0.476–0.948 and the area under the ROC curves ranging from 0.660 to 0.873. Brain tumor diagnostic panels were constructed with unique metabolites, which reduces the likelihood of misdiagnosis. This study proposes a novel interdisciplinary method for brain tumor diagnosis based on metabolomics and EvoHDTree, exhibiting significant predictive coefficients