Computed Tomography Research Articles

Multimodality deep learning radiomics predicts pathological response after neoadjuvant chemoradiotherapy for esophageal squamous cell carcinoma.

This study aimed to develop and validate a deep-learning radiomics model using CT, T2, and DWI images for predicting pathological complete response (pCR) in patients with esophageal squamous cell carcinoma (ESCC) undergoing neoadjuvant chemoradiotherapy (nCRT). Patients with ESCC undergoing nCRT followed by surgery were retrospectively enrolled from three institutions and divided into training and testing cohorts. Both traditional and deep-learning radiomics features were extracted from pre-treatment CT, T2, and DWI. Multiple radiomics models were developed, both single modality and integrated, using machine learning algorithms. The models' performance was assessed using receiver operating characteristic curve analysis, with the area under the curve (AUC) as a primary metric, alongside sensitivity and specificity from the cut-off analysis. The study involved 151 patients, among whom 63 achieved pCR. The training cohort consisted of 89 patients from Institution 1 (median age 62, 73 males) and the testing cohort included 52 patients from Institution 2 (median age 62, 41 males), and 10 in a clinical trial from Institution 3 (median age 69, 9 males). The integrated model, combining traditional and deep learning radiomics features from CT, T2, and DWI, demonstrated the best performance with an AUC of 0.868 (95% CI: 0.766-0.959), sensitivity of 88% (95% CI: 73.9-100), and specificity of 78.4% (95% CI: 63.6-90.2) in the testing cohort. This model outperformed single-modality models and the clinical model. A multimodality deep learning radiomics model, utilizing CT, T2, and DWI images, was developed and validated for accurately predicting pCR of ESCC following nCRT. Our research demonstrates the satisfactory predictive value of multimodality deep learning radiomics for the response of nCRT in ESCC and provides a potentially helpful tool for personalized treatment including organ preservation strategy. After neoadjuvant chemoradiotherapy, patients with ESCC have pCR rates of about 40%. The multimodality deep learning radiomics model, could predict pCR after nCRT with high accuracy. The multimodality radiomics can be helpful in personalized treatment of esophageal cancer.

Lung Point in a Case of Bronchoscopy Lung Volume Reduction: Consider Its Mimics Before Inserting the Tube

Point of Care Ultrasound (POCUS) is used to evaluate many clinical scenarios. Chest POCUS has been integrated as a part of a clinical protocol to assess patients with lung pathology [1]. The ability to detect pneumothorax using chest POCUS has been shown to be superior to chest radiography, with specificity reported to be as high as 100% when a lung point sign is identified. In addition to improved diagnostic accuracy, chest POCUS has the added benefits of ease of access and absence of ionizing radiation. Here we describe a case where a patient with a high pre-test probability for pneumothorax had a detected lung point sign, but pneumothorax was ruled out via Computed Tomography (CT). This case highlights the importance of considering the mimics of the lung point sign. This case also shows a unique and interesting finding related to pleural movement restriction post-Bronchoscopic lung volume reduction (BLVR).

Spontaneous Intracranial Hypotension and Dural Ectasia in Marfan Syndrome: An Illustrative Case Successfully Treated with Steroid Therapy and Literature Review

Background: Spontaneous intracranial hypotension (SIH) is a rare and frequently misdiagnosed disorder characterized by a low volume of cerebrospinal fluid (CSF) caused by the leakage of CSF through the spinal dural membrane. Patients with Marfan Syndrome (MS) and other connective tissue disorders are at an increased risk for dural ectasia, which may predispose them to spontaneous CSF leaks due to the structural weakness of their dural membranes. The management of SIH in MS patients is debated. Conservative measures, an epidural blood patch (EBP), and surgical treatments are the options generally provided. Methods: Herein, we report on the case of a 52-year-old female affected by MS, genetically confirmed, with a two-month history of sudden-onset, “thunderclap” headache, worsened in an upright position and horizontal diplopia. A Computed Tomography (CT) scan of the brain showed a bilateral chronic subdural hematoma, slit ventricles, and a caudal descent of the brainstem without overt tonsillar herniation. The Magnetic Resonance Imaging (MRI) scan of the whole spine revealed dural ectasia in the lumbosacral area and presacral perineural cyst without extradural CSF collection. The case was successfully managed with bed rest and high-dose corticosteroid therapy. Then, we discuss the pertinent literature, consisting of 25 papers dealing with the treatment of SIH in patients affected by MS. Results: The literature review yielded 25 papers dealing with SIH management in patients with MS, including 28 patients overall; 21 patients underwent EBP, of whom 7 patients had multiple procedures. Overall, in 23 cases (82%), the symptoms improved. In three cases, the patients were managed conservatively with bed rest. In three of these cases, there was an improvement. In one case, the surgical fenestration of two lumbar intradural spinal meningeal cysts was performed and the patient improved after the procedure. Our patient underwent 15 days of steroid therapy (dexamethasone iv 12 mg/day for 7 days, then reduced to 4 mg/day) and intravenous hydration (Ringer lactate 1500 mL/day). In ten days, the symptoms disappeared. At the 6-month follow-up, the patient was in good clinical condition, and a CT scan showed an almost complete regression of the bilateral subdural hematoma. Conclusions: The management of SIH in MS patients is still challenging. Patients with connective tissue disorders such as MS are at an increased risk for SIH. Few studies have assessed the management of these patients and different strategies. Our case and the available literature provide further data for this type of case.

Penetrating intraorbital wooden foreign bodies involving the right frontal lobe of the brain: A rare case report

Background: Penetrating orbital trauma from a wooden foreign object is rare and challenging to identify, as it cannot be detected with a computed tomography (CT) scan. This report highlights the clinical presentation, diagnosis, and management of such a case. Case Description: A 19-year-old female experienced penetrating orbital trauma from a wooden object following a traffic accident. She intermittently visited the hospital with eye swelling and headache, without visible penetrating wounds on the palpebra. The swelling persisted for weeks, accompanied by increasing signs of ocular and cerebral infection. The suspicion of a non-metallic foreign body penetrating the brain was confirmed 3 months after the initial visit, delayed by the hidden entry wound between the eyelid and eyeball and orbital edema mimicking non-penetrating trauma. A multidisciplinary team managed the case. Procedures included debridement, retro-orbital exploration, retro-orbital abscess evacuation, and frontal basal trephination exploration, successfully removing the wooden object that had penetrated the medial orbit, frontal bone, and brain, along with cerebral abscess evacuation. Postoperative CT scans showed complete removal of the foreign object and successful abscess evacuation. The patient showed improvement in ocular symptoms, resolution of headaches, and no wound leakage. She was discharged on the 14th day after completing antibiotic treatment and having the dressing removed. Conclusion: This case is notable for its rarity, high risk of misdiagnosis, and potentially fatal consequences if not promptly managed. We emphasize the importance of patient involvement in routine consultations, careful anamnesis, clinical examination, and a multidisciplinary approach for optimal outcomes.

Internal Supravesical Hernia Revealed by Small Bowel Obstruction

Small bowel obstruction secondary to ingested fish bone is an exceedingly rare occurrence, particularly among the elderly, accounting for less than 1% of cases necessitating surgical intervention. This article reports a case of an 84-year-old male who presented with acute abdominal pain and bilious vomiting for seven days after accidentally swallowing a fish bone. Computed Tomography (CT) of the abdomen and pelvis indicated sub-acute bowel obstruction, revealing a linear foreign body in the jejunum with a focal collection. An emergency exploratory laparotomy uncovered a pocket of pus containing the fish bone in the mesentery of the jejunum, with evidence of perforation at approximately 150 cm distal to the duodenojejunal flexure.

Diagnostics and classification of fractures of the thoracic and lumbar spine in adults : Approach depending on the bone structure

The epidemiology, treatment and prognosis of thoracolumbar vertebral fractures are fundamentally influenced by the bone quality of the patient. In individuals with healthy bone structure, ahigh-energy trauma is typically required to cause afracture. In contrast, osteoporosis can cause fractures and also be present as acomorbid pathology in traumatic fractures. Comprehensive diagnostics and a precise classification are essential for appropriate treatment. This narrative review outlines the diagnostic approach and classification of thoracolumbar vertebral fractures depending on the bone quality as the basis of treatment. In addition to aphysical examination, conventional radiographs with the patient in a standing position and computed tomography (CT) scans of the affected region serve as the foundation for fracture classification. Supplementary magnetic resonance imaging (MRI) primarily assesses discoligamentous and neurological structures of the spine as well as the age of the fracture. In suspected cases of osteoporotic fractures, ashort-tau inversion recovery (STIR) sequence of the entire thoracic and lumbar spine is recommended for reliable detection of bone marrow edema. For patients with healthy bone structure, the AOSpine classification is used, whereas the osteoporotic fracture (OF) classification and the OF score are applied in cases of osteoporosis.

Inducible displacement of cementless total knee arthroplasty components with conventional and weight-bearing CT-based radiostereometric analysis.

Aseptic loosening remains one of the top causes of revision surgery of total knee arthroplasty (TKA). Radiostereometric analysis (RSA) is used in research to measure implant migration, however limitations prevent its clinical use. New methods have allowed the same measurements as RSA to be performed with computed tomography (CT) scanners (CT-RSA). The objective of this study is to determine inducible displacement measurements from weight-bearing computed tomography (WBCT) and conventional RSA to assess implant stability. Participants (n = 17) completed RSA exams in the supine and standing position, and WBCT exams in the seated (leg extended) and standing position. Double examinations were performed in the seated (WBCT) or supine (RSA) positions. Inducible displacements were measured with model-based RSA (MBRSA) for RSA exams, and a novel CT-RSA software, V3MA, for WBCT exams. Precision of each technique was calculated between double examinations. Precision data for tibial component total translations and rotations were 0.05 mm and 0.118°, respectively with WBCT-RSA, and were 0.108 mm and 0.269°, respectively with MBRSA. MTPM precision was 0.141 mm with WBCT-RSA and was 0.168 mm with MBRSA. Inducible displacement MTPM of the tibial component was 0.244 ± 0.220 mm with WBCT-RSA and 0.662 ± 0.257 mm with MBRSA. Inducible displacement measurements with MBRSA were significantly different from WBCT-RSA for tibial component anterior tilt (p = 0.0002). WBCT-RSA demonstrated comparable precision to MBRSA, and both techniques measured inducible displacements consistent with stable components. Clinical Significance: As the availability of WBCT increases, its use as an alternative to MBRSA is supported to measure the instantaneous fixation of implant components.

The Clinical Significance of Interstitial Pneumonia with Autoimmune Features in Cryptogenic Organizing Pneumonia: A Prospective Multicenter Observational Study

Background: There are cases of idiopathic interstitial pneumonias (IIPs) that do not meet the diagnostic criteria for connective tissue disease but have clinical features suggestive of autoimmune process. Interstitial pneumonia with autoimmune features (IPAF) was recently proposed as a research concept for these patients. Although several prospective studies on IPAF have been conducted, its clinical significance in cryptogenic organizing pneumonia (COP) remains unclear. Methods: Patients aged ≥20 years with suspected COP were prospectively enrolled between June 2018 and December 2022. Among the enrolled patients, those diagnosed with COP based on computed tomography (CT) and bronchoalveolar lavage (BAL) findings were compared between the IPAF and non-IPAF groups. Results: A total of 56 patients were enrolled in this study. Of these, 30 were diagnosed with COP and included in the analysis. Clinical and serological features were positive in two and six patients, respectively. Each feature was exclusive, and eight patients (26.7%) were diagnosed with IPAF. There were no differences between the IPAF and non-IPAF groups in terms of clinical features, including BAL findings, laboratory data, CT findings, and clinical course. During the one-year follow-up period, the frequency of COP exacerbation did not differ between the IPAF and non-IPAF groups, and no cases of systemic autoimmune disease or death occurred in either group. Conclusions: The COP characteristics of the IPAF and non-IPAF groups are similar in all aspects, and distinguishing between the two groups may be of little significance.

Total Antioxidant Status in Critically Ill Patients with Traumatic Brain Injury and Secondary Organ Failure—A Systematic Review

Introduction: The available literature indicates that oxidant–antioxidant imbalance plays a significant role in the pathophysiology of traumatic brain injury and the subsequent secondary organ dysfunctions. However, there is a lack of studies summarizing the knowledge in this area, and no clear guidelines exist regarding the use of biomarkers of oxidative stress as diagnostics tools. Methods: The present work aims to provide a systematic review of the literature on the use of total antioxidant capacity (TAC) assays in predicting the outcomes of traumatic brain injury (TBI). A literature search was conducted up to 1 September 2024, according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA 2020) guidelines, using the PubMed and Scopus databases. Based on the inclusion criteria, 24 studies were used for the final review. Results: Promising data indicate that TAC assays are useful in predicting 30-day mortality and neurological outcomes. Moreover, they correlate with radiological findings on CT scans in brain injury and the clinical classifications of injuries, as well as the parameters of organ failure. Conclusions: Total antioxidant capacity assays can be used to assess the extent of brain damage and prognosticate general vital functions. Future experiments should include long-term randomized clinical trials on larger populations of TBI patients.

BCDNet: A Deep Learning Model with Improved Convolutional Neural Network for Efficient Detection of Bone Cancer Using Histology Images

Among the several types of cancer, bone cancer is the most lethal prevailing in the world. Its prevention is better than cure. Besides early detection of bone cancer has potential to have medical intervention to prevent spread of malignant cells and help patients to recover from the disease. Many medical imaging modalities such as histology, histopathology, radiology, X-rays, MRIs, CT scans, phototherapy, PET and ultrasounds are being used in bone cancer detection research. However, hematoxylin and eosin stained histology images are found crucial for early diagnosis of bone cancer. Existing Convolutional Neural Network (CNN) based deep learning techniques are found suitable for medical image analytics. However, the models are prone to mediocre performance unless configured properly with empirical study. Within this article, we suggested a framework centered on deep learning for automatic bone cancer detection. We also proposed a CNN variant known as Bone Cancer Detection Network (BCDNet) which is configured and optimized for detection of a common kind of bone cancer named Osteosarcoma. An algorithm known as Learning based Osteosarcoma Detection (LbOD). It exploits BCDNet model for both binomial and multi-class classification. Osteosarcoma-Tumor-Assessment is the histology dataset used for our empirical study. Our the outcomes of the trial showed that BCDNet outperforms baseline models with 96.29% accuracy in binary classification and 94.69% accuracy in multi-class classification.

Cardiovascular responses as predictors of mortality in children with acute brain injury.

Investigate the utility of cardiovascular responses such as heart rate (HR), blood pressure (BP), and heart rate variability (HRV) in the prognosis of children with acute acquired brain injury (ABI). Children under 18 years with severe acute acquired brain injury (ABI) who survived at least 12 h after PICU admission were included in a prospective observational cohort in a tertiary academic PICU. Physiological variables, neurological data, laboratory tests (chemistry and hematology), and medications were recorded within 12 h of admission. Linear and nonlinear HRV indices, CT scans, PICU scores, and survival rates were evaluated. Seventy-two children, median age 10.7 years (IQR 4.1-13.6), were eligible for the study; 28 (38.9%) were diagnosed with brain death (BD). Tachycardia, SBP and MBP < 5th percentile, and MBP and DBP> 99th percentile were significantly associated with mortality. Poincaré SD1/SD2 was significantly associated with mortality after adjusting for age, sex and ongoing medication. Tachycardia, systolic hypotension and median hypo and hypertension were associated to mortality in children with severe ABI. While further validation through larger, multicenter studies is necessary, the Poincaré SD1/SD2 ratio has shown promise as a prognostic tool for predicting mortality in children with severe ABI. This study explores cardiovascular changes, including heart rate and blood pressure, and linear/nonlinear HRV measures using ECG at 1000 Hz, and compare them with other prognostic factors like brain tomography and PICU scores. Tachycardia, hypo/hypertension in the early hours after admission are linked to early mortality in children with severe traumatic and non-traumatic brain injury. Linear/non-linear measures of HRV were also related to survival. Higher HRV values indicating better survival chances. We identified Poincaré SD1/SD2 ratio as a promising tool for predicting mortality in children with severe ABI.

Comment on: Characteristics of Posterior Ethmoidal Artery and Its Relationship with Anterior Ethmoidal Artery and Skull Base on CT Scan

Comment on: Characteristics of Posterior Ethmoidal Artery and Its Relationship with Anterior Ethmoidal Artery and Skull Base on CT Scan

Analysis of the clinical manifestations and diagnostic process of the pleural effusion associated with constrictive pericarditis

ObjectivesThe primary objective of this study is to analyze the clinical manifestations, diagnostic procedures, and outcomes of patients with pathologically confirmed constrictive pericarditis who presented with bilateral pleural effusions. We aim to outline a stepwise diagnostic approach that could assist clinicians in identifying CP in similar cases.MethodsIn this study, we conducted a retrospective analysis of 19 cases of pathologically confirmed constrictive pericarditis. These patients were admitted to our hospital between January 2019 and December 2022 after pericardial stripping. The collected data included imaging findings, clinical manifestations, pleural effusion characteristics, postoperative pathology, and the diagnostic process.ResultsIn this study, the age of the 19 patients ranged from 25 to 74 years, with a median age of 59 years. All patients presented with bilateral pleural effusions, with or without pericardial lesions such as pericardial effusion or thickening. Pleural effusion biochemistry did not exhibit specific characteristics, and both etiology and pleural pathology were negative. Radiographic examinations, including cardiac ultrasound and chest CT, revealed signs of pericardial thickening and/or pericardial effusion or no abnormalities. Pericardial stripping was performed in all patients, and the postoperative pathology confirmed various degrees of thickened pericarditis, consistent with constrictive pericarditis. During a follow-up period of 6–18 months, most patients (17 out of 19) showed favorable recovery with no recurrence of bilateral pleural effusions.ConclusionThis study emphasizes the importance of pleural effusion as a clinical sign of constrictive pericarditis and highlights that a stepwise diagnostic approach, guided by clinical presentation and imaging, can enhance its recognition, particularly in cases with bilateral pleural effusions.

Advancing EGFR mutation subtypes prediction in NSCLC by combining 3D pretrained ConvNeXt, radiomics, and clinical features

PurposeThe aim of this study was to develop a novel approach for predicting the expression status of Epidermal Growth Factor Receptor (EGFR) and its subtypes in patients with Non-Small Cell Lung Cancer (NSCLC) using a Three-Dimensional Convolutional Neural Network (3D-CNN) ConvNeXt, radiomics features and clinical features.Materials and methodsA total of 732 NSCLC patients with available CT imaging and EGFR expression data were included in this retrospective study. The region of interest (ROI) was manually segmented, and clinicopathological features were collected. Radiomic and deep learning features were extracted. The instances were randomly divided into training, validation, and test sets. Feature selection was performed, and XGBoost was used to create solo models and combined models to predict the presence of EGFR and subtypes mutations. The effectiveness of the models was assessed using ROC and PRC curves.ResultsWe established the following models: ModelCNN, Modelradiomic, Modelclinical, ModelCNN+radiomic, ModelCNN+clinical, Modelradiomic+clinical, and ModelCNN+radiomic+clinical, which were based on deep learning features, radiomic features, clinical data and combinations of these, respectively. In predicting EGFR mutations, ModelCNN+radiomic+clinical demonstrated superior performance compared to other prediction models, achieving an AUC of 0.801. For distinguishing between EGFR subtypes ex19del and L858R, ModelCNN+radiomic reached the highest AUC value of 0.775.ConclusionsBoth deep learning models and radiomic signature-based models offer reasonably accurate non-invasive predictions of EGFR status and its subtypes. Fusion models hold the potential to enhance noninvasive methods for predicting EGFR mutations and subtypes, presenting a more reliable prediction approach.

CT-defined muscle density as a prognostic factor in multiple myeloma undergoing autologous stem cell therapy: a retrospective single center study.

Skeletal muscle quality assessment can be performed by cross-sectional imaging. Skeletal muscle density (SMD) identified to be of prognostic relevance of several clinically outcomes in patients with hematological diseases. The purpose of the present study was to establish the effect of SMD on overall survival (OS) and progression-free survival (PFS) in patients with multiple myeloma (MM). All patients with MM were retrospectively analyzed between 2009 and 2019. 127 patients were included into the analysis. Whole-body computed tomography (CT) was used to calculate skeletal muscle index (SMI), SMD, albumin-gauge score and intramuscular adipose tissue content (IMAC). Overall, 28 patients (22.0%) of the patient sample died. In the discrimination analysis muscle density was higher in non-survivors compared to survivors (mean 30.8 ± 12.5 versus 24.1 ± 15.8, p = 0.03) and IMAC was lower in non-survivors (-0.66 ± 1.8 versus -0.25 ± 0.21, p = 0.01). These differences, however, were not demonstrated in the logistic regression analysis, which could not show prognostic relevance for the investigated muscle density parameters on PFS or OS. CT-defined muscle density parameters have no prognostic relevance on survival in patients with MM undergoing autologous stem cell therapy, which was demonstrated in a comprehensive analysis. These results corroborate previous smaller studies that body composition might have a limited role in this tumor entity.

Appendiceal neurofibroma after resection of multiple gastrointestinal stromal tumors of the small intestine in a patient with neurofibromatosis type 1: a case report.

Neurofibromatosis type 1 (NF1), also known as von Recklinghausen disease, is an autosomal dominant disorder that can affect multiple organs. Although gastrointestinal manifestations, such as neurofibromas and gastrointestinal stromal tumors (GISTs), can occur, appendiceal neurofibromas are extremely rare, with no documented cases of their occurrence following other gastrointestinal lesions. Herein, we report a case of an appendiceal neurofibroma following the resection of multiple small intestinal GISTs. A 68-year-old man with NF1 presented with melena and was diagnosed with anemia due to bleeding from multiple small intestinal GISTs. Laparoscopic three partial resection of the small intestine was performed to control the bleeding. Histopathologic examination revealed the proliferation of spindle cells that are positive for c-kit and Discovered on GIST-1, confirming the diagnosis of GIST. Two years later, a follow-up computed tomography (CT) scan revealed a progressively enlarging mass in the appendix with suspected invasion into the small intestine. Positron emission tomography/CT showed fludeoxyglucose accumulation in the tumor. Therefore, considering the possibility of malignancy, laparoscopic ileocecal resection with lymph node dissection was performed. Postoperatively, melena was observed, but the anemia did not progress and improved with fasting and hemostatic therapy. The patient was eventually discharged on postoperative day 8. Histopathologic examination revealed spindle cell proliferation with positivity for S-100, confirming the diagnosis of neurofibroma. Patients with NF1 can develop a variety of gastrointestinal lesions. Appendiceal neurofibroma can be difficult to diagnose preoperatively and differentiate from malignancy. Hence, surgical resection should be considered.

A rare case of cerebellar abscess caused by Nocardia cyriacigeorgica

Background: Gram-positive opportunistic bacteria of the Nocardia species are responsible for a large spectrum of infections, such as pneumonia, skin infections, and more widespread conditions, including brain abscesses. Case Description: A 67-year-old male patient suffered from headache, gait disorder, and vertigo for a week before admission to our department. An enhanced magnetic resonance imaging scan revealed a mediosagittal hyperintense infratentorial lesion with concomitant compression of the fourth ventricle. The patient underwent surgical treatment with general anesthesia. The frozen section did not reveal any tumoral tissue but rather a purulent content. He was comatose on the 1st postoperative day, and he underwent a follow-up computed tomography (CT) scan, which revealed triventricular hydrocephalus. The external ventricular drain was performed, and a follow-up CT scan revealed significant improvement of hydrocephalus. Matrix-Assisted Laser Desorption Ionization Time of Flight did not reveal any causative agent from the intraoperative content, but the 16s ribosomal DNA method confirmed Nocardia cyriacigeorgica. The patient was intravenously treated with ceftriaxone and trimethoprim/sulfamethoxazole and died on the 5th postoperative day. Conclusion: Nocardiosis presents a rare Gram-positive bacterial infection that typically affects immunocompromised hosts. Nocardia-caused brain abscesses present a significant challenge in its treatment for its atypical presentation and slow culture growth.

Rare Cause of Pediatric Abdominal Pain Diagnosed on Point of Care Ultrasound (POCUS)

An 11-year-old postmenarchal female presented to the pediatric emergency department (ED) with 2 days of periumbilical and right lower abdominal pain. Radiology-performed ultrasound (RADUS) did not visualize the appendix, and there was a plan for surgical consultation to decide between serial abdominal exams versus computed tomography (CT) scan. While awaiting consultation and to help further narrow the differential diagnosis, the emergency provider performed a point of care ultrasound (POCUS) of the urinary tract. This revealed several anomalies including a solitary left kidney with hydronephrosis, and a well-circumscribed, fluid-filled structure with mixed echogenicity posterior to the bladder and inferior to the uterus. Given these findings on POCUS, further imaging was pursued, including a RADUS of the pelvis followed by a magnetic resonance imaging (MRI) of the abdomen. Further imaging ultimately diagnosed a bicornuate uterus, septate vagina with hematocolpos and solitary left kidney consistent with Obstructed Hemivagina and Ipsilateral Renal Anomaly (OHVIRA) syndrome. This case is an illustration of how POCUS is an invaluable tool to narrow the differential diagnosis and guide advanced imaging or consultation for both common and rare causes of pediatric abdominal pain.

Clinical study of percutaneous endoscopic thoracic spine surgery via trench technique for thoracic spinal cord ventral decompression

To evaluate the feasibility, safety, and early effectiveness of percutaneous endoscopic thoracic spine surgery via the trench technique for ventral decompression in central calcified thoracic disc herniation (CCTDH) and thoracic ossification of the posterior longitudinal ligament (T-OPLL). Seven patients with single-segment CCTDH or T-OPLL admitted between June 2017 and May 2020 and meeting the selection criteria were retrospectively analyzed. There were 3 males and 4 females with an average age of 51.7 years ranging from 41 to 62 years. There were 2 patients with T-OPLL (T 1, 2 in 2 cases) and 5 patients with CCTDH (T 1, 2 in 1 case, T 7, 8 in 1 case, T 10, 11 in 2 cases, T 11, 12 in 1 case). Five patients with thoracic axial pain and intercostal neuralgia had a preoperative visual analogue scale (VAS) score of 6.0 (5.0, 6.5), and 7 patients had a preoperative Japanese Orthopaedic Association (JOA) score of 21 (21.0, 22.0). Transforaminal approach was used in 4 cases and transpedicular approach in 3 cases. Ventral decompression of thoracic spinal cord was performed by thoracic endoscopy combined with trench technique. The operation time, intraoperative blood loss, postoperative hospital stay, and postoperative complications were recorded. Thoracic spine CT and MRI were performed preoperatively and postoperatively to evaluate the surgical decompression, VAS score was used to evaluate the pain of thoracic back and lower limbs, and JOA score was used to evaluate the functional recovery. Modified MacNab criteria was used to evaluate the effectiveness. All surgeries were successfully completed. The operation time ranged from 60 to 100 minutes, with an average of 80.4 minutes; the intraoperative blood loss ranged from 40 to 75 mL, with an average of 57.1 mL; the postoperative hospital stay ranged from 4 to 7 days, with an average of 5.4 days. CT and MRI examinations indicated that the decompression was adequate. All 7 patients were followed up 3-22 months, with an average of 13.3 months. One case developed postoperative wound infection, and 1 case developed pneumonia; the remaining patients did not have any complications such as wound infection or cerebrospinal fluid leakage. Five patients with thoracic axial pain and intercostal neuralgia had VAS scores of 2.0 (1.5, 2.5) at 1 day after operation and 2.0 (1.0, 2.0) at last follow-up, both of which were significantly lower than the preoperative scores ( P<0.05). At 1 day after operation, the JOA scores for all 7 patients were 22.0 (21.0, 24.0), which showed no significant difference compared to the preoperative score ( P>0.05); however, at last follow-up, the score improved to 24.0 (24.0, 26.0), which was significant compared to the preoperative scores ( P<0.05). At last follow-up, the effectiveness was assessed using the modified MacNab criteria, the results were excellent in 2 cases, good in 3 cases, fair in 2 cases, and the excellent and good rate was 71.4%. Using the trench technique, percutaneous endoscopic thoracic spine surgery can achieve the ventral decompression in CCTDH and T-OPLL, providing a new approach for surgical treatment of CCTDH and T-OPLL.

Optimization and application of renal depth measurement method in the cadmium-zinc-telluride‑based SPECT/CT renal dynamic imaging.

This study aims to evaluate the accuracy of four kidney depth measurement methods-nuclear medicine tomography, nuclear medicine lateral scanning, ultrasound, and Tonnesen's formula-based estimation-using CT measurements as the reference standard. Additionally, it investigates the feasibility of utilizing nuclear medicine tomography and lateral scanning for measuring kidney depth in 99mTc-DTPA renal dynamic imaging. Hollow kidney phantoms mimicking the shape and volume of adult kidneys were 3D printed and filled with 99mTcO4- solution. These phantoms were then subjected to lateral scanning and nuclear medicine tomography using CZT (cadmium-zinc-telluride) SPECT/CT to determine the optimal post-processing method. Forty patients who underwent renal dynamic imaging were recruited for the study. Renal depths were derived from ultrasound, lateral imaging, nuclear medicine tomography, formula-based estimation, and CT measurements. The renal depths obtained through these four methods were for correlation with CT-measured renal depths. Additionally, the absolute differences between renal depths obtained by each method and the CT standard were analyzed and compared across groups. Using kidney phantoms, nuclear medicine tomography images were processed with a Butterworth filter (cutoff frequency = 0.6), and renal outlines in lateral images was manually delineated. In the clinical validation phase, correlation coefficients indicated strong associations between renal depths measured by nuclear medicine tomography (left kidney: R = 0.885, P < 0.05; right kidney: R = 0.927, P < 0.05) and lateral scanning (left kidney: R = 0.933, P < 0.05; right kidney: R = 0.956, P < 0.05) compared to CT measurements. The difference in kidney depth between nuclear medicine tomography and CT measurements were the smallest and statistically significant (left kidney: 0.69 ± 0.51; right kidney: 0.58 ± 0.41, P < 0.05). Using ordered subset expectation maximization (OSEM) in conjunction with a Butterworth filter (fc = 0.6) as the post-processing method, nuclear medicine tomography enables more accurate renal depth measurements without increasing the radiation dose to patients.