Computed Tomography Scan Research Articles

Office-Based Digital Workflow for Managing Old Mandibular Fracture Malunion: Use of Short-Segment Drilling and Osteotomy Guides With Predictive Holes.

Treating old mandibular fractures with malunion is challenging due to the need for osteotomy and interference between bone segments, complicating occlusal restoration. This technical note introduces a novel office-based digital workflow utilizing surgical guides. Preoperative computed tomography (CT) data were imported into MIMICS software for virtual surgical planning to precisely realign bone fragments based on anatomical and occlusal relationships. A pre-bent reconstruction plate was adapted to a 3-dimensional-printed mandible model, and cone beam CT scans captured detailed screw path data. This information was used in 3-matic software to design short-segment drilling guides (SSDGs), and osteotomy guides with predictive holes. These guides facilitated accurate bone osteotomy and realignment during surgery. This workflow addresses the limitations of previous SSDGs, offering a reliable solution for managing malunion in old mandibular fractures. The approach reduces surgical complexity, enhances precision, and streamlines treatment, providing an innovative method for challenging mandibular fractures.

Retrospective Observational Analysis of Computed Tomography Scans of Trauma Patients in Overseas Operations (SCANOPEX Study).

High-intensity conflicts are on Europe's doorstep. The French expertise in the medical management of frontline casualties in overseas operations is well established. However, in the management of severe trauma, we lack data on the injuries identified by body scanners in the field. Understanding the associations between injury mechanisms and radiological lesions would enable us to anticipate medical and surgical management. To study this possible link, we collected and interpreted scanogaphic data and analyzed them according to lesion mechanisms, following the algorithm MARCH used to implement the concept of Damage Control Resuscitation, which includes life-saving measures to ensure that the wounded reach medical-surgical facilities alive. This retrospective monocentric study collected data from body scanners performed in overseas operations between June 2011 and September 2023. Inclusion criteria were to be French military personnel and to have undergone a whole-body scanner in a theater of overseas operations. Exclusion criteria were to have died before the scan, to be foreign, non-military and a minor. Of 164 available files, 96 were eligible, 1 patient declared aged 70 years was excluded, and 95 files were retained. In our population, 18% of injured patients had a spinal fracture. Compared with road traffic accident casualties, improvised explosive device casualties were the most severely injured patients arriving alive at computed tomography, with a relative risk of Injury Severity Score > 8 of 2.29 [1.09-4.80] (P = .019). Improvised explosive device casualties had a relative risk of airway injuries of 2.57 [1.03-6.39] (P = .030), injuries leading to functional impairment of 3.21 [1.17-8.82] (P =.013), injuries leading to infection of 2.14 [1.21-3.76] (P = .0045), and injuries leading to shock of 3.21 [0.96-10.70] (P = .039). Deep metal splinters were only found in the improvised explosive device group. Preparing the medical corps to deal with war casualties is fundamental. Our study shows that it is essential to consider the mechanism of injury to understand the casualty better and predict potential injuries. In addition, the study of postmortem scans could greatly help analyze potentially avoidable deaths.

Survival Outcomes in US Medicare Patients with Non-Cystic Fibrosis Bronchiectasis by Rate of Baseline Exacerbations.

There are limited real-world data on outcomes in patients with non-cystic fibrosis bronchiectasis (NCFBE). This study assessed clinical characteristics and survival in patients with NCFBE by baseline exacerbation rate. Patients with bronchiectasis (≥ 1 inpatient or ≥ 2 outpatient claims with a bronchiectasis diagnosis code, or one outpatient claim with bronchiectasis code and a chest computed tomography scan) were from the 100% Medicare Fee-for-Service database (Jan 2014-Dec 2020). Patients had continuous enrollment ≥ 12months pre-index (baseline) and post-index (follow-up), with index a random bronchiectasis claim preceded by ≥ 12months bronchiectasis history. Patients with cystic fibrosis were excluded. Patients were stratified by exacerbations during baseline (0, 1, or ≥ 2). Follow-up exacerbation rate and all-cause mortality were assessed. Controls were identified using a multistep direct matching approach. Time to death from index was estimated by Kaplan-Meier analyses. Exacerbation analysis included 92,529 patients with NCFBE and 92,529 matched controls. Exacerbations were common (43% had ≥ 1 exacerbation), with patients with more baseline exacerbations more likely to have ≥ 2 exacerbations during follow-up (11.4%, 24.2%, and 46.8% of patients with 0, 1, and ≥ 2 baseline exacerbations, respectively). Survival analysis included 110,298 patients with NCFBE and 110,298 controls. Time to death was shorter in patients with more baseline exacerbations (P < 0.0001). Five-year survival was 55.3%, 62.6%, and 65.4% for patients with ≥ 2, 1, and 0 baseline exacerbations, respectively, compared with 64.1% for controls. In these patients with NCFBE, exacerbations were common. History of exacerbations was associated with future exacerbations and increased all-cause mortality.

Superior Sagittal Sinus Thrombosis Secondary to Cerebral Aspergillosis with Ventriculitis in an Immunocompetent Patient: A Case Report

AbstractCerebral aspergillosis is an opportunistic fungal infection that is exceedingly rare in immunocompetent patients. The primary etiological locations for these infections typically involve the nasal cavity and hematological dissemination. A 62-year-old male, focused on wellness, presented with intermittent, nonprogressive headaches in the occipital region, generalized clonic–tonic seizures, and altered consciousness. A computed tomography scan revealed multiple small rim-enhancing lesions in both occipital lobes, with vasogenic edema in both occipital lobes adjacent to the confluence of the sinuses and the posterior superior sagittal sinus. In this case, superior sagittal sinus thrombosis secondary to cerebral aspergillosis was discovered, a condition not previously diagnosed in this specific location but manageable through surgical intervention. A combination of surgical resection and antifungal therapy resulted in favorable outcomes. The prognosis for patients depends significantly on early diagnosis and prompt, aggressive treatment.

Comparison of Endoscopic Ultrasound and CT Scan in the Diagnosis of Esophageal Duplication Cysts.

Esophageal duplication cysts (EDCs) are rare congenital malformations, often discovered incidentally during endoscopy or on computed tomography (CT) scans. The role of endoscopic ultrasound (EUS) and CT scan in the diagnosis of these lesions and indications for surgical treatment are underreported. The aim of this study was to investigate these topics in a cohort of patients. Between January 2001 and October 2020, 82 patients had a suspicion of esophageal duplication cyst on endoscopic ultrasound. Thirty four of these patients were referred for surgical enucleation of the lesion, but three patients were lost to follow-up. At the end, 31 patients, who underwent surgical treatment for their suspected EDC were included in this study. Clinical features, EUSfindings, CT images, surgical treatment, and outcome were collected from hospital health records. CT images were re-evaluated by a chest radiologist. Type of surgery, surgical complications, and final histological diagnosis were reported. The patients referred for surgery were younger (p = 0.0001) and had larger lesions (> 2cm; p = 0.005) than the patients who had non-operative follow-up. From thirty-one operated patients, eighteen (58%) had post-operative histological diagnosis of duplication cyst. On EUS the final histological diagnosis was correct in 58% (18/31) of all the operated cases and on CT scan 57% (17/30). CT scan misdiagnosed three of the EDCs but found two leiomyomas correctly. None of these patients developed malignancy. According to this study, neither EUS without fine-needle biopsy nor CT scan alone can differentiate EDCs from other mediastinal masses.

Segmentation-based quantitative measurements in renal CT imaging using deep learning

BackgroundRenal quantitative measurements are important descriptors for assessing kidney function. We developed a deep learning-based method for automated kidney measurements from computed tomography (CT) images.MethodsThe study datasets comprised potential kidney donors (n = 88), both contrast-enhanced (Dataset 1 CE) and noncontrast (Dataset 1 NC) CT scans, and test sets of contrast-enhanced cases (Test set 2, n = 18), cases from a photon-counting (PC)CT scanner reconstructed at 60 and 190 keV (Test set 3 PCCT, n = 15), and low-dose cases (Test set 4, n = 8), which were retrospectively analyzed to train, validate, and test two networks for kidney segmentation and subsequent measurements. Segmentation performance was evaluated using the Dice similarity coefficient (DSC). The quantitative measurements’ effectiveness was compared to manual annotations using the intraclass correlation coefficient (ICC).ResultsThe contrast-enhanced and noncontrast models demonstrated excellent reliability in renal segmentation with DSC of 0.95 (Test set 1 CE), 0.94 (Test set 2), 0.92 (Test set 3 PCCT) and 0.94 (Test set 1 NC), 0.92 (Test set 3 PCCT), and 0.93 (Test set 4). Volume estimation was accurate with mean volume errors of 4%, 3%, 6% mL (contrast test sets) and 4%, 5%, 7% mL (noncontrast test sets). Renal axes measurements (length, width, and thickness) had ICC values greater than 0.90 (p < 0.001) for all test sets, supported by narrow 95% confidence intervals.ConclusionTwo deep learning networks were shown to derive quantitative measurements from contrast-enhanced and noncontrast renal CT imaging at the human performance level.Relevance statementDeep learning-based networks can automatically obtain renal clinical descriptors from both noncontrast and contrast-enhanced CT images. When healthy subjects comprise the training cohort, careful consideration is required during model adaptation, especially in scenarios involving unhealthy kidneys. This creates an opportunity for improved clinical decision-making without labor-intensive manual effort.Key PointsTrained 3D UNet models quantify renal measurements from contrast and noncontrast CT.The models performed interchangeably to the manual annotator and to each other.The models can provide expert-level, quantitative, accurate, and rapid renal measurements.Graphical

An unusual case of small-bowel obstruction: Broad ligament hernia.

Broad ligament hernias (BLHs) are rare internal hernias that can lead to serious complications if left untreated. In this case report, we present the case of a BLH in a female patient and discuss its clinical presentation, diagnosis and management. A 40-year-old woman presented with subacute intestinal obstruction symptoms, including the inability to pass flatus and faeces and recurrent bilious vomiting. A computed tomography (CT) scan confirmed small-bowel obstruction adjacent to the uterus within the left broad ligament. Diagnostic laparoscopy revealed a loop of obstructed small intestine within the broad ligament, which was released and found to be healthy. The defect between the broad and infundibulopelvic ligaments was closed with sutures. The patient had an uneventful recovery and was asymptomatic at a 6-month follow-up. BLHs can be congenital or acquired, with acquired defects often resulting from previous surgeries or pregnancy-related causes. The clinical presentation typically involves the symptoms of bowel obstruction, and a CT scan is the diagnostic modality of choice, showing characteristic findings such as closed-loop obstruction and bowel dilation. Laparoscopic management offers the advantages of faster recovery and less morbidity. Closure of the defect using nonabsorbable sutures is the standard surgical approach, although a wide opening of the defect has also been described. Recurrence is a possibility, particularly if absorbable sutures are used for closure. This case report highlights the importance of early diagnosis and intervention in BLHs to prevent the complications and emphasises the role of laparoscopy in their management.

Bony Labyrinth in Upper Paleolithic Individuals Buried at Sungir

The bony labyrinth of the Sungir individuals was studied using the computed tomography scanning on an industrial Phoenix X-ray device. Three-dimensional modeling and visualization were carried out with special software. Crania of an adult (Sungir 1) and two children (Sungir 2 and 3) were analyzed. Findings reveal that bilateral asymmetry is insignificant. Individual variation range suggests that the group is morphologically homogeneous. Comparison of averages with those of Neanderthals and anatomically modern humans demonstrates overall similarity with the latter and significant difference from the former in key traits. Based on results of the discriminant analysis, children unambiguously fall in the H. sapiens group, while the adult is halfway between the latter and the Neanderthal sample. But such a finding is neither exceptional nor even rare. A Neanderthal-like morphology of the bony labyrinth (large lateral semicircular canal and high sagittal index) occurs in a small number of Upper Paleolithic humans of the modern morphological type. The Sungir adult belongs to this group.

Implementation of an AI Algorithm in Clinical Practice to Reduce Missed Incidental Pulmonary Embolisms on Chest CT and Its Impact on Short-Term Survival.

A substantial number of incidental pulmonary embolisms (iPEs) in computed tomography scans are missed by radiologists in their daily routine. This study analyzes the radiological reports of iPE cases before and after implementation of an artificial intelligence (AI) algorithm for iPE detection. Furthermore, we investigate the anatomic distribution patterns within missed iPE cases and mortality within a 90-day follow-up in patients before and after AI use. This institutional review board-approved observational single-center study included 5298 chest computed tomography scans performed for reasons other than suspected pulmonary embolism (PE). We compared 2 cohorts: cohort 1, consisting of 1964 patients whose original radiology reports were generated before the implementation of an AI algorithm, and cohort 2, consisting of 3334 patients whose scans were analyzed after the implementation of an Food and Drug Administration-approved and CE-certified AI algorithm for iPE detection (Aidoc Medical, Tel Aviv, Israel). For both cohorts, any discrepancies between the original radiology reports and the AI results were reviewed by 2 thoracic imaging subspecialized radiologists. In the original radiology report and in case of discrepancies with the AI algorithm, the expert review served as reference standard. Sensitivity, specificity, prevalence, negative predictive value (NPV), and positive predictive value (PPV) were calculated. The rates of missed iPEs in both cohorts were compared statistically using STATA (Version 17.1). Kaplan-Meier curves and Cox proportional hazards models were used for survival analysis. In cohort 1 (mean age 70.6 years, 48% female [n = 944], 52% male [n = 1020]), the prevalence of confirmed iPE was 2.2% (n = 42), and the AI detected 61 suspicious iPEs, resulting in a sensitivity of 95%, a specificity of 99%, a PPV of 69%, and an NPV of 99%. Radiologists missed 50% of iPE cases in cohort 1. In cohort 2 (mean age 69 years, 47% female [n = 1567], 53% male [n = 1767]), the prevalence of confirmed iPEs was 1.7% (56/3334), with AI detecting 59 suspicious cases (sensitivity 90%, specificity 99%, PPV 95%, NPV 99%). The rate of missed iPEs by radiologists dropped to 7.1% after AI implementation, showing a significant improvement (P < 0.001). Most overlooked iPEs (61%) were in the right lower lobe. The survival analysis showed no significantly decreased 90-day mortality rate, with a hazards ratio of 0.95 (95% confidence interval, 0.45-1.96; P = 0.88). The implementation of an AI algorithm significantly reduced the rate of missed iPEs from 50% to 7.1%, thereby enhancing diagnostic accuracy. Despite this improvement, the 90-day mortality rate remained unchanged. These findings highlight the AI tool's potential to assist radiologists in accurately identifying iPEs, although its implementation does not significantly affect short-term survival. Notably, most missed iPEs were located in the right lower lobe, suggesting that radiologists should pay particular attention to this area during evaluations.

Investigating the association between osteopenia and bowel perforation through a multicenter radiologic analysis

Anecdotal evidence from preliminary observations has noted multiple instances where osteoporosis is present in elderly patients before the clinical detection of bowel disease, even in the absence of overt gastrointestinal symptoms. However, any potential association between these conditions remains to be further investigated. This computed tomography (CT) study investigates whether patients with gastrointestinal (GI) perforation have lower bone mineral density (BMD) than age and sex matched controls. BMD was measured by drawing 3D regions of interest in the bone marrow of the L1–L3 vertebral bodies on CT scans of each of 37 GI perforations and matched controls. Spectrometric calibration of Hounsfield units to the mineral scale was performed with density measurements in the paravertebral muscles (erector spinae) and subcutaneous adipose tissue. The mean BMD of patients with GI perforation (135.9 ± 24.3 mg/ml) was significantly lower than that of controls (96.9 ± 27.5 mg/ml, p < 0.05). The calculated T-and Z-scores of bone mineral density were also significantly different between the two groups (p < 0.05 for each) and were − 2.9 (± 0.90) and − 0.8 (± 0.91) in patients with GI perforation and − 1.6 (± 0.83) and 0 (± 0.96) in the control group, respectively. The results imply that patients with gastrointestinal (GI) perforation have lower bone mineral density (BMD) than age-and sex-matched controls, posing the question whether the screening and aggressive management of osteoporosis is high-risk populations for gastrointestinal perforation can prevent gastrointestinal complications in targeted populations.

Hipertensão arterial resistente: um desafio diagnóstico

Introduction: Primary hyperaldosteronism is a leading cause of secondary arterial hypertension, affecting approximately 10% to 20% of the hypertensive population worldwide and in Brazil. This condition involves excessive aldosterone production due to factors such as adrenal adenoma, hyperplasia, or, less commonly, adrenal carcinoma and familial hyperaldosteronism. This study reports a case of resistant hypertension secondary to aldosterone-producing adenoma. Clinical Case: A 70-year-old male patient presented with episodes of dizziness, syncope, cramps, and asthenia. His medical history included resistant hypertension for over 30 years, despite treatment with five classes of antihypertensive medications. Additionally, he had a history of dyslipidemia, type 2 diabetes mellitus, non-dialysis chronic renal failure, and obstructive coronary arterydisease. Physical examination showed a BMI of 29 kg/m² (overweight), mean blood pressure of 140/90 mmHg (right arm) and 150/100 mmHg (left arm), and palpable nodules in both thyroid lobes, classified as Bethesda V based on aspiration cytopathology. Subsequently, he underwent total thyroidectomy and lymph node dissection. Laboratory tests revealed high plasma aldosterone levels with suppressed renin and an elevated aldosterone-renin ratio, raising suspicion of primary hyperaldosteronism. This diagnosis was confirmed by a computed tomography scan, which identified a 1.2 cm nodule in the right adrenal gland consistent with an adenoma. The patient underwent unilateral laparoscopic adrenalectomy. Two years post-surgery, the patient’s blood pressure was well-controlled with three antihypertensive medications, and his blood sugar, aldosterone, and renin levels were normal. Discussion and Conclusion: Most patients undergoing unilateral adrenalectomy for aldosterone-producing adenomas experience significant clinical improvement. Early screening and diagnosis of primary hyperaldosteronism are crucial for effective management, reducing the risk of complications in the cardiovascular and renal systems.

Impacts of Material and Machine on the Variation of Additively Manufactured Cooling Channels

Abstract While additive manufacturing (AM) can reduce component development time and create unique internal cooling designs, the AM process also introduces several sources of variability, such as the selection of machine, material, and print parameters. Because of these sources, wide variations in a part's geometrical accuracy and surface roughness levels can occur, especially for small internal cooling features that are difficult to post-process. This study investigates how the selection of machine and material in the AM process influences variations in surface quality and deviations from the design intent. Two microscale cooling geometries were tested: wavy channels and diamond-shaped pin fins. Test coupons were fabricated with five different additive machines and four materials using process parameters recommended by the manufacturers. The as-built geometry was measured non-destructively with computed tomography scans. To evaluate surface roughness, the coupons were cut open and examined using a laser microscope. Three distinct roughness profiles on the coupon surfaces were captured including upskin, downskin, and channel walls built at 90 deg to the build plate. Results indicated that both material and machine contribute to producing different roughness levels and very different surface morphologies. The roughness levels on the downskin surfaces are significantly greater than on the upskin or sidewall surfaces. Geometric analysis revealed that while the hydraulic diameter of all coupons was well captured, the pin cross section varied considerably. Along with characterizing the coupon surfaces, cooling performance was investigated by experimentally measuring friction factor and heat transfer. The variations in surface morphology as a function of material and machine resulted in heat transfer fluctuating by up to 50% between coupons featuring wavy channels and 26% for coupons with pin fin arrays. Increased arithmetic mean surface roughness led to increased heat transfer and pressure drop; however, a secondary driver in the performance of the wavy channels was found to be the roughness morphology, which could be described using the surface skewness and kurtosis.

Bifocal endometriomas involving a Pfannenstiel incision. Clinical case

Endometrioma of the anterior abdominal wall (EAAW) is a rather rare variant of extragenital endometriosis, which in most cases occurs after obstetrical and gynecological procedures. EAAW presented predominantly as a single tumour‑like mass, and multiple ectopias were observed in only 1.9—5.6% of cases, exclusively after Pfannenstiel laparotomy. Here we present a clinical case of a 37‑year‑old patient who complained of the large tumour‑like nodules along the postoperative anterior abdominal wall scar, accompanied by severe cyclic, catamenial pain. Additionally, the patient noted an increase in tumour size during menstruation. Thirty‑three months ago, she underwent an elected cesarean section for obstetric indications. Based on ultrasonography and computed tomography scans, the presence of two EAAW in the corners of the postoperative scar was established: 46 × 32 × 31 mm and 14 × 18 × 13 mm, respectively. Both lesions were excised out without damaging their integrity. The fascial defect was replaced by synthetic polypropylene mesh. The diagnosis of EAAW was finally confirmed based on pathological (presence of endometrial glands and cytogenic stroma) and immunohistochemical (positive membrane expression of CD10 in cytogenic stroma, intense cytoplasmic expression of CK7 in endometrial glands, marked nuclear expression of progesterone (PR) and estrogen (ER‑α) receptors in endometrial glands and cytogenic stroma, proliferative activity index Ki‑67 — 2%) studies. At a follow‑up after 19 months, the patient was asymptomatic; according to physical examination and ultrasound scan, there was no evidence of recurrence. Abdominal wall endometriosis is a rare condition. Clinicians should be aware of this pathology, especially in women presenting with a painful mass near the scar of a previous obstetrical and gynecological surgery. Surgery is the best treatment modality for endometrioma, whereas its optimal volume is considered to be R0 resection with preservation of endometriomas’ integrity. The final diagnosis of EAAW requires pathological and immunohistochemical confirmation.

“Normal” Cervical Spine Radiographs and Computed Tomography Scans in the Emergency Department: Beware of Posttraumatic Instability of the Mobile Segment of the Lower Cervical Spine

The NEXUS criteria have been introduced in the 1990s to assist emergency department physicians to decide whether to perform radiographic work-up following cervical whiplash injury. Four criteria have been described on these profile radiographs of the cervical spine including angulation between cervical endplates, 3-mm listhesis, posterior facet joints overlap, and widened interspinous space. Although these criteria could help to detect patients suffering from unstable trauma of the mobile segment if the lower cervical spine, the radiographic signs may be so subtle that even specifically trained physicians like spine surgeons and neuroradiologists may miss them, especially during after-hour shifts. Hence, we present the striking case of a young female patient whose radiographs displayed slight but abnormal signs of lower cervical spine instability, but was nonetheless discharged home with dynamic X-rays of the cervical spine to be performed in a delayed setting. We hope that these striking features will help us remind the importance of radiologic semiology of posttraumatic unstable cervical spine.

Does More Invasive Surgery Result in Higher Patient Satisfaction? A Long-Term Follow-Up of 136 Zygomaticomaxillary Complex Fractures.

Retrospective with follow-up. To evaluate the long-term satisfaction of surgically treated patients with zygomaticomaxillary complex (ZMC) fractures in relation to the use of internal fixation, number of fixation points, and orbital floor (OF) reconstruction. Secondary objectives were to describe the use of antibiotics and post-operative infections. Patients with unilateral ZMC fractures between 2007-2018 and treatment with either open reduction and internal fixation (ORIF) or closed reduction (CR) were identified from medical records and invited to follow-ups between 2018-2020. Patients were examined, photographed, and completed a questionnaire. A review panel of 3 experienced surgeons evaluated photographs and computed tomography (CT) scans pre- and post-surgery. The study sample consisted of 136 patients (108 ORIF, 28 CR) with a median follow-up time of 76 months. Patient satisfaction of surgical outcome was high (97.8%), with no significant differences in relation to the use of internal fixation, number of fixation points, or OF reconstruction. Dissatisfaction was primarily related to hypoesthesia. On post-operative CT scans, malar asymmetry was more often predicted in patients with 1-point fixations. On questionnaires and photographs, malar asymmetry was more common in patients with 3-point fixations. Prophylactic antibiotics had no effect on the rate of post-operative infections. Patient satisfaction was not influenced by internal fixation, number of fixation points, or OF reconstruction. Selected ZMC fractures can be treated with less invasive approaches. Caution should be observed when predicting long-term malar asymmetry on post-operative CT scans. The findings of this study highlight the importance of a rational and ethical use of surgery.

Enhancing pectus excavatum diagnosis with an automated batch evaluation tool for chest computed tomography images.

We aimed to implement a fully automatic computed tomography (CT) image-detection programming algorithm as a pectus excavatum (PE) diagnostic tool, facilitating comprehensive chest wall deformity evaluation. We developed our algorithm using MATLAB, leveraging the Hounsfield unit threshold and region growing methods. The MATLAB graphical user interface enables the direct use of our program. We validated the model using CT images of anthropomorphic phantoms and one normal individual. The measurement values obtained by our algorithm demonstrated very small differences compared to the known anthropomorphic phantom model data and manual measurement. For algorithm testing, 17,214 chest CT scans obtained from 57 PE patients were processed by the algorithm and independently reviewed by a radiologist and a thoracic surgeon. The measurements of transverse, anteroposterior, and sternum-to-vertebral distance of the thoracic cavity, along with the calculated data of four indices, exhibited high positive correlations (0.94-0.99). The asymmetry index and maximum anteroposterior hemithorax distance exhibited moderate correlation (0.40-0.83). Our automatic PE diagnostic tool demonstrated high accuracy; four chest wall deformity indices were obtained simultaneously without any initial manual marking, correlating well with manual measurements.

Paraneoplastic systemic lupus erythematosus associated with dysgerminoma: a case report and literature review.

Rheumatic paraneoplastic syndromes are rare and generally occur no longer than two years before diagnosis of the associated malignancy. Therefore, it can be an essential clue to occult malignancy. A healthy 18-year-old female with no underlying diseases was referred to the rheumatology clinic due to morning stiffness in her hands and a new rash on her fingers. Her labs showed a positive ANA, anti-double strand DNA antibody, anti-RNP, and anti-ribosomal P. Nine months after the diagnosis with SLE, the patient presented with elevated levels of lactate dehydrogenase. A total-body computed tomography scan revealed a solid mass in the pelvis. The pathological findings corresponded to a dysgerminoma tumor. Following surgical tumor removal and chemotherapy, the patient went into remission with both SLE and her oncology conditions, with no relapse of her lupus symptoms in a one-year follow-up. This case underscores the importance of considering malignancy in unexplained lupus symptoms, a crucial point for all physicians to be aware of. We identified 13 cases of paraneoplastic SLE in a literature review. In most cases, SLE is resolved after the tumor has been treated.

ANALYSIS OF THE EFFECTIVENESS OF INDIRECT SPINAL CANAL DECOMPRESSION IN THE TREATMENT OF BURST FRACTURES AT THE THORACOLUMBAR JUNCTION

Indirect decompression of the spinal canal through ligamentotaxis is one of the methods for remodeling the spinal canal in traumatic stenosis. Objective: To evaluate the effectiveness of indirect decompression of the spinal canal for different morphological types of burst fractures of vertebral bodies at the thoracolumbar junction. Methods. A preoperative and postoperative analysis of computed tomography scans was performed on 59 patients who were treated at the«Romodanov Neurosurgery Institute, National Academy of Medical Sciences of Ukraine» for burst fractures at the thoracolumbar junction. The criterion for the effectiveness of indirect decompression was the area of the spinal canal, measured at the level of injury in the zone of maximum compression. The grading of burst fractures was performed using the classification by F. Magerl et al. (1994). Results. In the preoperative period, the median degree of stenosis in the group of patients was 43.47 % (95 % confidence interval (CI): 37.53–46.22 %). For damage type A3.1, it was 36.9 % (95 % CI: 28.1‒40.5 %), for type A3.2 — 46.1 % (95 % CI: 32.1‒54.5 %), and for type A3.3 — 47.6 % (95 % CI: 37.5‒56.5 %). After surgical treatment, the degree of stenosis decreased by 20.14 % (95 % CI: 15.93‒21.56 %). For type A3.1, the effectiveness was 20.1 % (95 % CI: 9.5‒22.7 %), for type A3.2 — 15.2 % (95 % CI: 7.51‒17.3 %), and for type A3.3 — 21.7 % (95 % CI: 20.8‒26.4 %). The difference between types A3.2 and A3.3 was statistically significant (p = 0.0018). It was found that indirect decompression is most effective with higher degrees of stenosis. For Grade I by D. Wolter (1988), the canalexpansion achieved was 7.07 % (95 % CI: 5.69‒8.65 %), for Grade II — 21.6 % (95 % CI: 20.4‒22.7 %), and for Grade III — 30.3 % (95 % CI: 27.0‒33.6 %). Conclusions. Closed remodeling of the spinal canal with transpedicular fixation and the effect of ligamentotaxis is an effective method for correcting traumatic spinal canal stenosis at the thoracolumbar junction. The effectiveness of the technique is determined by many factors, including the type of burst fracture, the initial degree of stenosis, and the level of injury.

Umbilical Amniotic Tissue Graft as an Alternative Approach for Eyelid Reconstruction After Necrotizing Fasciitis Debridement

A 54-year-old female with myelodysplastic syndrome on chemotherapy presented with 10 days of periocular erythema and edema worsening on oral antibiotics. Computed Tomography scan showed periorbital soft tissue swelling without postseptal extension or abscess. Intravenous broad-spectrum antibiotics were administered. However, she developed necrosis of the upper eyelid requiring aggressive debridement. Nine days after debridement, the defect measuring 5.5 × 3 cm was covered using an umbilical amniotic tissue graft (AmnioGuard, BioTissue, Miami, FL). At postoperative week 4, 5-fluorouracil was injected to prevent the shortening of anterior lamella. At postoperative week 20, the graft had dissolved and been replaced by regenerated skin. Final eyelid exam demonstrated normal eyelid elevation and minimal lagophthalmos. Herein, we present a case of umbilical amniotic membrane as a substrate graft to support the healing of the eyelid defect by secondary intention.

An integrated method for detecting lung cancer via CT scanning via optimization, deep learning, and IoT data transmission.

With its increasing global prevalence, lung cancer remains a critical health concern. Despite the advancement of screening programs, patient selection and risk stratification pose significant challenges. This study addresses the pressing need for early detection through a novel diagnostic approach that leverages innovative image processing techniques. The urgency of early lung cancer detection is emphasized by its alarming growth worldwide. While computed tomography (CT) surpasses traditional X-ray methods, a comprehensive diagnosis requires a combination of imaging techniques. This research introduces an advanced diagnostic tool implemented through image processing methodologies. The methodology commences with histogram equalization, a crucial step in artifact removal from CT images sourced from a medical database. Accurate lung CT image segmentation, which is vital for cancer diagnosis, follows. The Otsu thresholding method and optimization, employing Colliding Bodies Optimization (CBO), enhance the precision of the segmentation process. A local binary pattern (LBP) is deployed for feature extraction, enabling the identification of nodule sizes and precise locations. The resulting image underwent classification using the densely connected CNN (DenseNet) deep learning algorithm, which effectively distinguished between benign and malignant tumors. The proposed CBO+DenseNet CNN exhibits remarkable performance improvements over traditional methods. Notable enhancements in accuracy (98.17%), specificity (97.32%), precision (97.46%), and recall (97.89%) are observed, as evidenced by the results from the fractional randomized voting model (FRVM). These findings highlight the potential of the proposed model as an advanced diagnostic tool. Its improved metrics promise heightened accuracy in tumor classification and localization. The proposed model uniquely combines Colliding Bodies Optimization (CBO) with DenseNet CNN, enhancing segmentation and classification accuracy for lung cancer detection, setting it apart from traditional methods with superior performance metrics.