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- Volume 20, Issue 1, 2024
Current Medical Imaging - Volume 20, Issue 1, 2024
Volume 20, Issue 1, 2024
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Breast Edema of Early-stage Invasive Ductal Carcinoma: Correlation with Axillary Lymph Node Metastasis and Clinical-pathological Characteristics
Authors: Yang Zhang, Yuqing Xin, Nana Zhang, Xiankuo Hu, Bin Peng, Shaohua Zhang and Yushan YuanObjectiveThis study aimed to evaluate the association of different patterns of breast edema and clinical-pathological features and axillary lymph node (ALN) status in early invasive ductal carcinoma (IDC) for simple and readily available assessment and to guide surgeons to perform sentinel lymph node biopsy for selected patients.
Materials and MethodsThis retrospective analysis involved 207 individuals with clinical T1-T2 stage IDC. The clinical-pathological features of the patients were compared with different breast edema and ALN statuses. Independent risk factors for ALN metastasis were verified using multivariate logistic regression analysis.
ResultsALN metastasis was confirmed in 100 of 207 patients (48.3%) with early-stage IDC. Significant differences were found between different ALN states for tumour size, clinical T stage, and breast edema (P <0.05). The clinical T2 stage (odds ratio-1.882, p=0.043) and moderate to severe edema (odds ratio-10.869, p=0.004) were independent risk factors for ALN metastasis. Moreover, better prognostic factors, including smaller tumour size, lower Ki-67 index and histologic grade, luminal A subtype, and lower incidence of lymph node metastasis, were more frequently found in patients with no breast edema (p<0.05).
ConclusionBreast edema can be considered a promising feature to improve the predictive performance of pathological ALN status in patients with early-stage breast cancer and thus may contribute to preoperative treatment planning.
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Contrast-enhanced Ultrasonography for Diagnosis of Small Intestinal Leiomyosarcoma with Hepatic Metastasis: A Clinical Report of One Case and Review of the Literature
Authors: Jiubo Sun, Gang Li, Xiaoguang Huo, Ning Fang, Xiaofei Wang and Wenzhe XuBackgroundSmall intestinal leiomyosarcoma is a rare malignant tumor of the gastrointestinal tract. Clinical symptoms are atypical and can be complicated by gastrointestinal bleeding and intestinal obstruction.
Case PresentationWe report a case of a 73-year-old patient with small intestinal smooth muscle sarcoma with hepatic metastasis. No significant abnormalities were seen on examination of the abdomen. We performed abdominal enhancement CT, contrast-enhanced ultrasonography (CEUS), and ultrasound-guided pelvic mass puncture biopsy, and we found a heterogeneous density and echogenicity of the pelvic mass, and the enhancement was progressive with sustained hyperenhancement. The postoperative pathology was smooth muscle sarcoma of the small intestine. The typical fast-in, fast-out bull's-eye sign of metastases, characterized the liver presented with multiple hypodense and echogenic nodules and the enhancement. The clinical presentation, imaging, histologic features, and treatment are also discussed in this article.
ConclusionThis article briefly reviews the literature on small intestinal leiomyosarcoma. The purpose of this case report is to emphasize the specificity of the case and evaluate the imaging presentation of ultrasound (US) and CEUS and the main differential diagnosis of this rare gastrointestinal tumor.
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Transperitoneal Laparoscopic Adrenalectomy for Metachronous Contralateral Adrenal Metastasis from Oligometastatic Renal Cell Cancer: Case Report and Review of the Literature
Authors: Ercan Ogreden, Ural Oğuz, Erhan Demirelli, Doğan Sabri Tok, Safa Akyol, Hülya Öksüz and Serdar AslanBackgroundThe definition of oligometastasis is still controversial. Cytoreductive nephrectomy and metastasectomy are important approaches in selected patients with oligometastasis for improving survival. We aimed to present our laparoscopic metastasectomy experience in a rare case of contralateral adrenal metastasis in an oligometastatic kidney tumor.
Case ReportA 52-year-old male patient was admitted to our clinic with the diagnosis of an incidental right renal mass. On contrast-enhanced abdominal CT revealed a mass reaching approximately 8 cm in diameter in the right kidney located in the middle pole. On contrast-enhanced thorax, CT showed a metastatic lesion in the left main bronchus bifurcation. The patient underwent an open radical nephrectomy with the diagnosis of an oligometastatic right renal mass. His pathology was reported as clear cell renal cell carcinoma (ccRCC). The patient was referred to the medical oncology clinic for immunotherapy. The metastatic lesion in the lung completely regressed in the follow-up of the patient who was started on Chek point inhibitors. However, he was referred to our clinic after an incidental metachronous mass was detected in the contralateral left adrenal in FDG PET/CT (SUVmax: 6.7) in 1st year. Dynamic contrast-enhanced MRI was performed to reevaluate and for mass characterization, and a 4 cm mass was observed in the left contralateral adrenal. Laparoscopic metastasectomy was performed for the left adrenal mass. No recurrence or adrenal insufficiency developed in the 6-month follow-up after discharge.
ConclusionTransperitoneal adrenalectomy is a minimally invasive method that can be safely performed in metastatic adrenal masses. Although contralateral adrenal metastasis is rare in ccRCC, it should be kept in mind that adrenal metastasis may develop in the late period in patients with a history of renal cancer.
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CAD System Design for Pituitary Tumor Classification based on Transfer Learning Technique
Authors: Sagrika Gargya and Shruti JainBackgroundA brain tumor is an asymmetrical expansion by cells inevitably emulating amid them. Image processing is a vibrant research area where the handing out of the image in the medical field is an exceedingly tricky field. In this paper, an expert algorithm is suggested for the detection of pituitary brain tumors from MR images.
MethodsThe preprocessing techniques (smoothing, edge detection, filtering) and segmentation techniques (watershed) are applied to the online data set. The transfer learning technique is used as a classifier whose performance is measured in terms of classification accuracy. Resnet 50, Inception V3VGG16, and VGG19 models are used as classification algorithms. The proposed model is validated using different machine learning techniques considering hybrid features.
Results96% accuracy was obtained employing the Inception V3 model & 95% accuracy was attained using hybrid GLDS and GLCM features employing Support Vector Machine algorithm while 93% was attained using Probabilistic Neural Network and k Nearest Neighbor techniques.
ConclusionComputer-aided systems gave much faster and more accurate results than image processing techniques.1.0% accuracy improvement was observed while using Inception V3 over GLDS + GLCM + SVM and 2.1% accuracy improvement using GLDS + GLCM + SVM over GLDS + GLCM + kNN.
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Benign Multicystic Peritoneal Mesothelioma: Two Rare Cases and Review of the Literature
Authors: Mustafa Mehmet Incesu, Murat Ucar, Ramazan Kozan, Berkay Simsek and Guldal EsendagliBackgroundBenign multicystic peritoneal mesothelioma is a multiloculated cystic mass which originates from the peritoneum. This rare tumor is usually seen in women of childbearing age and has a high recurrence rate after surgery.
Case PresentationWe present two benign multicystic peritoneal mesothelioma cases with different imaging modalities, which were also pathologically proven.
ConclusionThe imaging features which may be diagnostic should be well known as there are very few reports regarding this entity.
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Radiomics in the Diagnosis of Gastric Cancer: Current Status and Future Perspectives
Authors: Zhiqiang Wang, Weiran Li, Di Jin and Bing FanGastric cancer is a malignant cancerous lesion with high morbidity and mortality. Preoperative diagnosis of gastric cancer is challenging owing to the presentation of atypical symptoms and the diversity of occurrence of focal gastric lesions. Therefore, an endoscopic biopsy is used to diagnose gastric cancer in combination with imaging examination for a comprehensive evaluation of the local tumor range (T), lymph node status (N), and distant metastasis (M). The resolution of imaging examinations has significantly improved with the technological advancement in this sector. However, imaging examinations can barely provide valuable information. In clinical practice, an examination method that can provide information on the biological behavior of the tumor is critical to strategizing the treatment plan. Artificial intelligence (AI) allows for such an inspection procedure by reflecting the histological features of lesions using quantitative information extracted from images. Currently, AI is widely employed across various medical fields, especially in the processing of medical images. The basic application process of radiomics has been described in this study, and its role in clinical studies of gastric cancer has been discussed.
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Chest CT Image based Lung Disease Classification – A Review
Computed tomography (CT) scans are widely used to diagnose lung conditions due to their ability to provide a detailed overview of the body's respiratory system. Despite its popularity, visual examination of CT scan images can lead to misinterpretations that impede a timely diagnosis. Utilizing technology to evaluate images for disease detection is also a challenge. As a result, there is a significant demand for more advanced systems that can accurately classify lung diseases from CT scan images. In this work, we provide an extensive analysis of different approaches and their performances that can help young researchers to build more advanced systems. First, we briefly introduce diagnosis and treatment procedures for various lung diseases. Then, a brief description of existing methods used for the classification of lung diseases is presented. Later, an overview of the general procedures for lung disease classification using machine learning (ML) is provided. Furthermore, an overview of recent progress in ML-based classification of lung diseases is provided. Finally, existing challenges in ML techniques are presented. It is concluded that deep learning techniques have revolutionized the early identification of lung disorders. We expect that this work will equip medical professionals with the awareness they require in order to recognize and classify certain medical disorders.
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Comparison of Computed Tomography Findings between Adult and Pediatric COVID-19 Patients
PurposeThis study aims to compare chest computed tomography (CT) findings between adult and pediatric patients with coronavirus disease-19 (COVID-19) pneumonia.
Materials and MethodsThis study included 30 pediatric patients aged 1 to 17 years and 30 adult patients over 18 years of age with COVID-19 pneumonia confirmed by reverse transcriptase-polymerase chain reaction (RT-PCR) who have findings related to COVID-19 on Chest Computed Tomography. The CT findings of adult and pediatric patients were compared with a z-test.
ResultsBilateral involvement (p:0.00056), involvement in all five lobes (p<0.00001), and central and peripheral involvement (p:0.01928) were significantly higher in the adult group compared to the pediatric group. In the pediatric group, the frequency of unilateral involvement (p:0.00056), involvement of solitary lobe (p:0.00132), and peripheral involvement (p: 0.01928) were significantly higher than in the adult group. The most common parenchymal finding in adults and pediatric patients was ground-glass opacities (100% and 83%, respectively). Among the parenchymal findings in adults, ground-glass opacities with consolidation (63%) were the second most common finding, followed by air bronchogram (60%) in adults, while in pediatric patients, halo sign (27%) and nodule (27%) were the second most common, followed by the ground-glass opacities with consolidation (23%).
ConclusionThe CT findings of pediatric COVID-19 patients must be well-known as the course of the disease is usually less severe, and the radiological findings are uncertain when compared with adults.
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Age and Gender-related Morphometric Assessment and Degenerative Changes of Temporomandibular Joint in Symptomatic Subjects and Controls using Cone Beam Computed Tomography (CBCT): A Comparative Analysis
Authors: Xiaoyin Hu, Bhavana Sujanamulk, Chintamaneni Raja Lakshmi and Changhui LiBackgroundThe temporomandibular joint diseases have been associated with various predisposing factors. Joint spaces, articular eminence height and inclination, and the shapes of the condylar and glenoid fossa have all been shown to vary in temporomandibular joint diseases (TMD) patients. Advanced imaging techniques like cone beam computed tomography (CBCT) have been employed to estimate these parameters.
Aims and ObjectivesThe aim of the current study was to investigate the condylar morphology, condylar and glenoid fossa shapes, and assessment of joint spaces, such as anterior, posterior, superior, lateral, and medial spaces, through CBCT slices in coronal and sagittal planes and compare them between the control group and TMD group.
Materials and MethodsA cross-sectional study was planned where 80 joints in 40 patients were assessed for the above parameters; group I consisted of healthy patients, and group II included those with temporomandibular joint diseases (TMDs). The articular eminence height and inclination were assessed on the midsagittal section. The condylar changes and shapes of the glenoid fossa and condyles, as well as the joint spaces, were assessed on the selected coronal and sagittal sections.
ResultsThe condylar fossa had a triangular shape in the TMJ group and an oval shape in the control group. The results were highly significant (P = 0.000**). A highly significant difference in morphological parameters, such as AJS, PJS, SJS, MJS, LJS, articular eminence height, and inclination, was found between the two groups (P = 0.000**). The association of morphological parameters, such as AJS, PJS, SJS, MJS, LJS, and articular eminence height and inclination were compared with condylar and glenoid fossa shapes, where the association of superior joint space and articular eminence inclination was observed. A highly significant difference was noted between the two groups with regard to all the parameters with P=0.00*.
ConclusionThe articular eminence inclination, as well as the superior joint space, were found to be associated with the glenoid and condyle fossa shapes in the TMJ group. These observations would, therefore, help in the early diagnosis of temporomandibular joint diseases.
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Discrepancies between Screening Sonography and Ultrasound in Emergency Department – A Case Report
IntroductionThis case report presents a discrepancy in sonographic findings between a screening sonography performed by a Sonographer in the Basic Emergency Service (BES) and a subsequent ultrasound performed by a Radiologist physician in a Referral Hospital (RH). The aim of this report is to discuss the possible reasons for the discrepancy and its implications for patient care.
Case PresentationA patient with a history of epigastric pain and vomiting underwent screening sonography in a BES, which suggested Intrahepatic Biliary Dilatation Duct (IHBD) and main pancreatic duct dilatation. The patient was subsequently referred to the RH for further evaluation. However, the Radiologist in the RH did not confirm any of the initial suspicions from BES through a normal ultrasound procedure. The discrepancy raises questions regarding the quality of the screening ultrasound, misinterpretation of the BES images, or the potential for ambiguity in the point of care ultrasound (POCUS) exam.
ConclusionThe differences in sonographic findings between BES and RH, in this case, suggest that the improvement of the patient's clinical condition and therapeutic interventions may have contributed to the discrepancy. Further investigation and standardization of POCUS training and interpretation may improve diagnostic accuracy and patient outcomes.
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Coexistence of Large Meningioma and Arteriovenous Malformation: A Case Report and Literature Review
Authors: Xue Wang, Yang Liu, Rong-Wu Tang and Ye TaoZhuIntroductionThe simultaneous presence of a giant intracranial meningioma and an arteriovenous malformation(AVM)in the same cerebral hemisphere is extremely rare. The treatment should be individualized depending on the case.
Case PresentationA 49-year-old man presented with hemiparesis. Preoperative neuroimaging revealed a giant lesion and an AVM on the left hemisphere of the brain. Craniotomy and tumour resection were performed. The AVM was not treated and needed to be followed up. The histological diagnosis was meningioma (World Health Organization grade I). The patient was in good neurological condition postoperatively.
ConclusionThis case adds to the growing literature suggesting that the association between the two lesions is complex. Besides, treatment depends on the risk of neurologic function damage and hemorrhagic stroke of meningiomas and AVMs.
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A Segmentation Method of Serialized Human Body Slices based on Matting Strategy and Skeleton Extraction
Authors: Bin Liu, Zhengyang Wu, Chenlu Wang, Shiyu Pang, Jingzhu Pei, Jianxin Zhang and Liang YangIntroductionIn this paper, a semiautomatic image segmentation method for the serialized body slices of the Visible Human Project (VHP) is proposed.
MethodsIn our method, we first verified the effectiveness of the shared matting method for the VHP slices and utilized it to segment a single image. Then, to meet the need for the automatic segmentation of serialized slice images, a method based on the parallel refinement method and flood-fill method was designed. The ROI (region of interest) image of the next slice can be extracted by using the skeleton image of the ROI in the current slice.
ResultsUtilizing this strategy, the color slice images of the Visible Human body can be continuously and serially segmented. This method is not complex but is rapid and automatic with less manual participation.
ConclusionThe experimental results show that the primary organs of the Visible Human body can be accurately extracted.
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Deep Learning-reconstructed Parallel Accelerated Imaging for Knee MRI
Authors: Sang-Min Lee, MinWoo Kim, Chankue Park, Dongeon Lee, Kang Soo Kim, Hee Seok Jeong and Min-Hyeok ChoiBackgroundDeep learning (DL) can improve image quality by removing noise from accelerated MRI.
ObjectiveTo compare the quality of various accelerated imaging applications in knee MRI with and without DL.
MethodsWe analyzed 44 knee MRI scans from 38 adult patients using the DL-reconstructed parallel acquisition technique (PAT) between May 2021 and April 2022. The participants underwent sagittal fat-saturated T2-weighted turbo-spin-echo accelerated imaging without DL (PAT-2 [2-fold parallel accelerated imaging], PAT-3, and PAT-4) and with DL (DL with PAT-3 [PAT-3DL] and PAT-4 [PAT-4DL]). Two readers independently evaluated subjective image quality (diagnostic confidence of knee joint abnormalities, subjective noise and sharpness, and overall image quality) using a 4-point grading system (1-4, 4=best). Objective image quality was assessed based on noise (noise power) and sharpness (edge rise distance).
ResultsThe mean acquisition times for PAT-2, PAT-3, PAT-4, PAT-3DL, and PAT-4DL sequences were 2:55, 2:04, 1:33, 2:04, and 1:33 min, respectively. Regarding subjective image quality, PAT-3DL and PAT-4DL scored higher than PAT-2. Objectively, DL-reconstructed imaging had significantly lower noise than PAT-3 and PAT-4 (P <0.001), but the results were not significantly different from those for PAT-2 (P >0.988). Objective image sharpness did not differ significantly among the imaging combinations (P =0.470). The inter-reader reliability ranged from good to excellent (κ = 0.761–0.832).
ConclusionPAT-4DL imaging in knee MRI exhibits similar subjective image quality, objective noise, and sharpness levels compared with conventional PAT-2 imaging, with an acquisition time reduction of 47%.
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Is there a Relationship between Vertical Facial Development and Nasal Cavity?
Authors: Sanaz Sadry and Esra SomtürkObjectivesThe aim of this study was to examine the relationship between vertical direction differences and the nasal cavity in skeletal Class I individuals.
Materials and MethodsThis study was divided into 2 groups according to the vertical direction angle, and it was conducted on a total of 60 individuals with skeletal Class I features, with 30 individuals in each subgroup. Angular and millimetric measurements (N-ANS, ANS-ME, N-ME, Ba-N/Ptm-Gn°, nasal septum, nasal cavity width (NCL), nasal cavity angle° (NCA)) were made in accordance with the parameters determined on cone beam computed tomography (CBCT) before the treatment of the individuals constituting the research groups. In a retrospective study, the relationship between vertical skeletal development of the nasal cavity on CBCT images was examined in detail. The Mann-Whitney U test was used, and Student's t test was used to compare two groups with a normal distribution. Spearman's correlation analysis was used to determine the relationship between quantitative data.
ResultsIn the comparison of Class I vertical direction subgroups, a statistically significant difference was found in terms of measurement values ANS-Me and N-Me, nasal cavity width and angular measurements (p<0.001) According to the results of the Mann-Whitney U test, men had significantly higher measurements of the sex and nasal cavity than women (p = 0.001; p<0.001).
ConclusionClass I individuals with different vertical direction dimensions were affected by changes in the nasal cavity during vertical development.
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Discrimination between Benign and Malignant Lung Lesions using Volumetric Quantitative Dynamic Contrast-enhanced MRI
Authors: Fang Wei, Fu Weidong, Zhou Wenming, He Lei, Cheng Xiaosan, Mao Zhongliang, Liu Qianyun and Lin HuashanBackgroundDynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) is considered a promising method in lung lesion assessment.
MethodsSixty-four patients with single pulmonary lesions (SPLs) received DCE-MRI at 3.0 T. Of them, 49 cases were diagnosed with lung cancer, and 15 with benign pulmonary nodules (8 inflammatory nodules, 5 tuberculosis, and 2 abscesses). SPLs were quantitatively analyzed to determine the pulmonary lesions-related perfusion parameters, including reflux constant (Kep), volume transfer constant (Ktrans), the maximum slope of increase (MaxSlope), extravascular extracellular space volume fraction (Ve), apparent diffusion coefficient (ADC), the initial area in the signal intensity-time curve (IAUGC), and contrast-enhancement ratio (CER). In addition, a Student’s t-test was conducted to calculate statistical significance regarding the quantitatively analyzed perfusion parameters in benign SPLs compared to malignant SPLs. The area under (AUC) the receiver operating characteristic (ROC) curve was studied to investigate the performance of perfusion parameters in diagnosing lung cancer.
ResultsValues of Ktrans, Kep, Ve, MaxSlope, and IAUGC increased within malignant nodules relative to benign nodules (Ktrans: 0.21 ±0.08 vs. 0.73 ±0.40, P = 0.0001; Kep: 1.21 ±0.66 vs. 1.83 ±0.90, P = 0.0163; Ve: 0.24 ±0.08 vs. 0.47 ±0.18, P < 0.0001; MaxSlope: 0.09 ±0.14 vs. 0.28 ±0.29, P = 0.0166; IAUGC: 0.18 ±0.09 vs. 0.55 ±0.34, P = 0.0001). Meanwhile, malignant nodules presented higher ADC than benign nodules (0.0016 ±0.0006 vs. 0.0012 ±0.0003, P = 0.0019). Ktrans and IAUGC showed the best diagnostic performance with AUCs [1.0, 95%CI (0.99–1.0); 0.93, 95%CI(0.85–1.0), respectively].
ConclusionMalignant pulmonary lesions had higher values of Ktrans, Ve, Kep, MaxSlope, and IAUGC compared to benign pulmonary lesions. Overall, perfusion parameters of DCE-MRI facilitate discrimination between benign from malignant pulmonary nodules.
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An Extra-articular Ganglion Cyst with Multiple Fluid-fluid Levels
Authors: Semra Duran, Cem Cuneyt Kose and Servet GuresciIntroductionGanglion cysts are the knee’s most common benign soft tissue tumors. Ganglion cysts are seen as multiloculated fluid collections on magnetic resonance imaging (MRI), and fluid-fluid levels are not an expected finding.
Case PresentationA 36-year-old female patient presented with swelling in her right knee. Magnetic resonance imaging revealed a multiseptated cyst with multiple fluid-fluid levels within the anterior of the right patellar tendon. Open surgical excision was performed, and the pedicle of the cyst was dissected. The histopathology revealed a ganglion cyst with hemorrhage.
ConclusionThe ganglion cysts should be considered in the differential diagnosis of lesions with fluid-fluid levels, in addition to hemangioma, synovial sarcoma, and aneurysmal bone cysts of soft tissues.
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The Evaluation of Subcutaneous and Visceral Adipose Tissue Changes by Computed Tomography in Coronavirus Disease 2019 and Comparison with Quantitative Analysis of Lung Involvement
Authors: Murat Vural, Betul Akdal Dolek, Ozgul Ucar, Erdem Ozkan and Utku Eren OzkayaBackgroundThis study aims to reveal the relationship between lung involvement and visceral adipose tissue changes between chest-computed tomography (CT) scans taken in short intervals in COVID-19 patients.
MethodsThe retrospective study included 52 patients who tested positive for SARS-CoV-2. All patients had two chest CT exams. Lung involvement measurements were calculated by using an artificial intelligence tool. Visceral and subcutaneous fat tissue was measured at the level of the first lumbar vertebra on chest CT. Additionally, demographic and laboratory data were collected.
Results52 patients were included (36.5% female, mean age 50). Visceral fat area and visceral fat thickness changes were significantly positive predictors of total lung involvement changes (p=0.033, p=0.00024). Subcutaneous fat area and subcutaneous fat thickness changes were not associated with lung involvement change (p>0.05). CRP, IL-6, d-dimer, and ferritin levels were higher in patients who need intensive care units.
ConclusionVisceral adipose tissue changes may indicate that it can have a role as a reservoir of virus involvement.
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Value of Multimodal Diffusion-weighted Imaging in Preoperative Evaluation of Ki-67 Expression in Endometrial Carcinoma
Authors: Huan Meng, Si-Xuan Ding, Yu Zhang, Feng-Ying Zhu, Jing Wang, Jia-Ning Wang, Bu-Lang Gao and Xiao-Ping YinPurposeTo investigate the value of multimodal diffusion weighted imaging (DWI) in preoperative evaluation of Ki-67 expression of endometrial carcinoma (EC).
Materials and MethodsPatients who had undergone pelvic DWI, intravoxel incoherent motion (IVIM), and diffusion kurtosis imaging (DKI) sequence MRI scan before surgery were retrospectively enrolled. Single index model, double index model, and DKI were used for post-processing of the DWI data, and the apparent diffusion coefficient (ADC), real diffusion coefficient (D), pseudo diffusion coefficient (D*), perfusion fraction (f), non-Gaussian mean diffusion kurtosis (MK), mean diffusion coefficient (MD) and anisotropy fraction (FA) were calculated and compared between the Ki-67 high (≥50%) and low (<50%) expression groups.
ResultsForty-two patients with a median age of 56 (range 37 - 75) years were enrolled, including 15 patients with a high Ki-67 (≥50%) expression and 27 with a low Ki-67 (<50%) expression. The MK (0.91 ± 0.12 vs. 0.76 ± 0.12) was significantly (P<0.05) higher while MD (0.99 ± 0.17 vs. 1.16 ± 0.22), D (0.55 ± 0.06 vs. 0.62 ± 0.08), and f (0.21 vs. 0.28) were significantly (P<0.05) lower in the high than in the low expression group. The combined model of MK, MD, D, and f-values had the largest area under the curve (AUC) value of 0.869 (95% CI: 0.764-0.974), sensitivity 0.733 and specificity 0.852, followed by the MK value with an AUC value 0.827 (95% CI: 0.700-0.954), sensitivity 0.733 and specificity 0.815.
ConclusionsIVIM and DKI have certain diagnostic values for preoperative evaluation of the EC Ki-67 expression, and the combined model has the highest diagnostic efficiency.
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Electromagnetically Navigated Tube Placement Device for Bedside Placement of Small Bowel Feeding Tube on Patients with Acute Severe Pancreatitis: Comparative Study
Authors: Guoliang Tan, Yongming Chen and Yanping LinBackgroundA developing approach for the bedside installation of feeding tubes is the Electromagnetic Navigation-assisted Tube Placement Device (ENTPD). The ENTPD monitors the tip position of feeding tubes when they are inserted into the digestive tract. It aids in the avoidance of airway misalignment and allows placing into the small bowel. Several recent exploratory studies have shown that ENTPD for nasojejunal feeding tube installation can improve success rates, lower costs, and allow for a more rapid beginning of enteral nutrition.
ObjectivesThe aim of this study was to compare the effect of using an ENTPD for bedside placement of small bowel feeding tubes with blind placement on patients with acute severe pancreatitis and to see how well the electromagnetic navigation trajectory image (ENTI) and X-ray agreed on the location of the tube tip after placement.
MethodsThe study was done prospectively using randomized and single-blind methods. The 65 cases used electromagnetic navigation-assisted placement, and 58 cases were blind placement. For judging the tube tip location, we compared the success rate, median time, number of repeat placements, complications, and agreement of ENTI vs. X-ray.
ResultsThe blind placement group's success rate was 86.21% compared to the ENTPD's 95.38%, P = 0.075. The median time was significantly longer in the blind placement group (116.55 ± 68.62 min vs. 25.37 ±12.63 min, P=0.000); the average number of repeating placements was 3.02 ± 1.21 vs. 1.16 ± 0.31 (Blind placement vs. ENTPD, P = 0.002). It provided a high degree of agreement between ENTI and X-ray after contrast, κ=0.752 [95% confidence interval, 0.67-0.84]. No complications occurred in the two groups.
ConclusionENTPD was used safely and effectively at the bedside to help patients with acute severe pancreatitis get feeding tubes. It not only improved the high successful rate of placement, decreased the time and reduced the exposure to X-ray, but it was also very convenient for bedside placement because of the portable equipment.
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An Automatic Method Framework for Personalized Knee Prosthetic Modeling Based on Kinematic Geometry
Authors: Pengxi Li, Hui Liu, Bocheng Zhang, Dongpei Liu, Liang Yang and Bin LiuThe shape of a knee prosthesis has an important impact on the effect of total knee arthroplasty. Comparing to a standard common prosthesis, the personalized prosthesis has inherent advantages. However, how to construct a personalized knee prosthesis has not been studied deeply. In this paper, we present an automatic method framework of modeling personalized knee prostheses based on shape statistics and kinematic geometry. Firstly, the average healthy knee model is established through an unsupervised process. Secondly, the sTEA (Surgical Transecpicondylar Axis) is calculated, and the average healthy knee model is resized according to it. Thirdly, the resized model is used to simulate the knee’s motion in a healthy state. Fourthly, according to the target patient's condition, an excising operation is simulated on both patient's knee model and the resized model to generate an initial knee prosthesis model. Finally, the initial prosthesis model is adjusted according to the simulated motion results. The average maximum error between the resized healthy knee model and the patient's own knee model is less than 2 mm, and the average maximum error between the motion simulation results and actual motion results is less than 3 mm. This framework can generate personalized knee prosthesis models according to the patient’s different conditions, which makes up for the deficiencies of standard common prostheses.
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Volumes & issues
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Volume 20 (2024)
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Volume 19 (2023)
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Volume 18 (2022)
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Volume 17 (2021)
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Volume 16 (2020)
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Volume 15 (2019)
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Volume 14 (2018)
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Volume 13 (2017)
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Volume 12 (2016)
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Volume 11 (2015)
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Volume 10 (2014)
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Volume 9 (2013)
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Volume 8 (2012)
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Volume 7 (2011)
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Volume 6 (2010)
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Volume 5 (2009)
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Volume 4 (2008)
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Volume 3 (2007)
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Volume 2 (2006)
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Volume 1 (2005)