Abdominal Computed Tomography Scan Research Articles

Challenges in the diagnosis and treatment of pure non-gestational uterine choriocarcinoma in a child: a case report

BackgroundDiagnosing non-gestational uterine choriocarcinoma in children is challenging because of its rarity and nonspecific imaging findings. Herein, we report a case of non-gestational uterine choriocarcinoma in a child, which was unexpectedly found during exploratory laparotomy and confirmed by histopathological findings. However, the tumor did not respond to chemotherapy.Case presentationA 4-year-old Indonesian female patient was brought into the emergency unit with chief complaint of vaginal bleeding. She had suffered from vaginal spotting 4 months before being admitted to the hospital. Physical examination revealed a distended abdomen in the left lumbar region and a palpable fixed mass with a smooth surface. Abdominal computed tomography scans revealed a large mass (10 × 6 × 12 cm) with fluid density and calcification. Thus, we suspected left ovarian teratoma. The patient’s luteinizing hormone, follicle-stimulating hormone, and lactate dehydrogenase levels were 25.2 mIU/ml, 0.1 mIU/ml, and 406 U/l, respectively. According to the clinical and radiological findings, we decided to perform an exploratory laparotomy and found a tumor originating from the uterus, not the ovarium. We did not observe liver nodules and any enlargement of abdominal lymph nodes. Subsequently, we performed hysterectomy. The histopathological findings supported the diagnosis of choriocarcinoma. The patient was discharged uneventfully on postoperative day 5. Thereafter, the patient underwent nine cycles of chemotherapy, including carboplatin (600 mg/m2 IV), etoposide (120 mg/m2 IV), and bleomycin (15 mg/m2 IV). However, on the basis of the clinical findings of a palpable mass and partial intestinal obstruction, the tumor relapsed soon after the ninth cycle of chemotherapy. Currently, the patient is undergoing chemotherapy again.ConclusionsAlthough pure non-gestational uterine choriocarcinoma is rare, it should be considered as one of the differential diagnoses for intraabdominal tumors in a child, so as to better guide and counsel families regarding the surgical plan and prognosis, respectively. In the present case, the patient’s response to chemotherapy was poor, implying that the treatment of non-gestational choriocarcinoma is still challenging, particularly in the pediatric population.

Extraskeletal osteosarcoma infiltrating pancreas, spleen, gastric, and left kidney: a case report

BackgroundExtraskeletal osteosarcoma is an extremely rare malignancy that accounts for 1% of soft tissue sarcoma and 4.3% of all osteosarcoma. Extraskeletal osteosarcoma can develop in a patient between the ages of 48 and 60 years. The incidence of extraskeletal osteosarcoma is slightly higher in male patients than in females.Case presentationA 50-year-old Caucasian male patient presented with a 6-month history of intermittent lower-left back pain that limits his activity. Prior ultrasonography and abdominal computed tomography scan showed a diagnosis of kidney stone and tumor in the lower-left abdomen. The computed tomography urography with contrast revealed a mass suspected as a left retroperitoneal malignant tumor. Hence, the tumor was resected through laparotomy and the patient continued with histopathological and immunohistochemistry examination with the result of extraskeletal osteosarcoma.ConclusionExtraskeletal osteosarcoma presents diagnostic challenges requiring multimodal examination, including histological and immunohistochemistry analyses. This case underscores the aggressive nature and poor prognosis despite undergoing the current suggested treatment.

Transarterial embolization in Wunderlich syndrome due to recanalization of giant renal angiomyolipoma pseudoaneurysm: a case report and literature review

BackgroundAcute spontaneous bleeding from renal angiomyolipoma (AML) is one of the causes of Wunderlich syndrome, a rare and potentially fatal clinical condition. Clinical deterioration will occur if there is a delay in urgent management. There are several management options for renal angiomyolipoma rupture. However, until now little is known about the case of recanalization from post-coil embolization of renal angiomyolipoma. There is no guideline about embolization technique for the management of recurrent bleeding after embolization or coil recanalization of renal angiomyolipoma.Case presentationA 55-year-old male has Wunderlich syndrome caused by recurrent bleeding of giant AML of the left renal due to coil recanalization compounded by a pseudoaneurysm and other bleeding site in bilateral giant renal angiomyolipoma which is showed by contrast-enhanced abdominal computed tomography scan. The patient underwent urgent transarterial embolization and some blood transfusion. Clinical improvement occurred and the patient discharged several days later.ConclusionsEmbolization for spontaneous bleeding or rebleeding of renal pseudoaneurysms may become the first choice of treatment in bilateral multiple renal angiomyolipoma rather than other managements which are available to preserve renal function.

In senile patients with severe disease, the diagnostic effect of enhanced abdominal computerized tomography scan is affected by high quality nursing interventions

In senile patients with severe disease, the diagnostic effect of enhanced abdominal computerized tomography scan is affected by high quality nursing interventions

A Novel Timing Equation for Predicting Optimal Contrast Medium Enhancement in Abdomen CT Scan Procedure

Abdominal CT (Computed Tomography) scans are crucial for diagnosing a wide range of abdominal conditions by providing detailed images of the abdominal organs. The aim of this study is to develop and validate a novel timing equation for predicting optimal contrast medium enhancement in abdominal CT procedures. Utilizing a quantitative research design, data was retrospectively collected from 155 patients who underwent CT scans with contrast media, focusing on variables such as age, gender, weight, creatinine levels, and injection parameters. Statistical analysis, including multi-linear regression and ANOVA, was conducted to derive predictive equations for arterial, venous, and delayed times. The results indicated that Location of the cannula significantly influence arterial time, age is significantly influence venous enhancement time, while weight was the only significant predictor of delayed time, demonstrating the need for patient-specific timing in CT scans. In conclusion, the proposed timing equation could enhance diagnostic accuracy and patient care by optimizing contrast enhancement in abdominal CT procedures.

Incidence of intra-abdominal injuries in hemodynamically stable blunt trauma patients with a normal computed tomography scan admitted to the emergency department

ObjectivesBlunt abdominal trauma is a common cause of emergency department admission. Computed tomography (CT) scanning is the gold standard method for identifying intra-abdominal injuries in patients experiencing blunt trauma, especially those with high-energy trauma. Although the diagnostic accuracy of this imaging technique is very high, patient admission and prolonged observation protocols are still common practices worldwide. We aimed to evaluate the incidence of intra-abdominal injury in hemodynamically stable patients with high-energy blunt trauma and a normal abdominal CT scan at a Level-1 Trauma Center in Colombia, South America, to assess the relevance of a prolonged observation period.MethodsWe performed a retrospective study of patients admitted to the emergency department for blunt trauma between 2021 and 2022. All consecutive patients with high-energy mechanisms of trauma and a normal CT scan at admission were included. Our primary outcomes were the incidence of intra-abdominal injury identified during a 24-hour observation period or hospital stay, ICU admission, and death.ResultsWe included 480 patients who met the inclusion criteria. The median age was 33 (IQR 25.5, 47), and 74.2% were male. The most common mechanisms of injury were motor vehicle accidents (64.2%), falls from height (26%), and falls from bikes (3.1%). A total of 99.2% of patients had a Revised Trauma Score of 8. Only 1 patient (0.2%) (95% CI: 0.01–1.16) presented with an abdominal injury during the observation period. No ICU admissions or deaths were reported.ConclusionThe incidence of intra-abdominal injury in patients with hemodynamically stable blunt trauma and a negative abdominal CT scan is extremely low, and prolonged observation may not be justified in these patients.

Low-iodine-dose computed tomography coupled with an artificial intelligence-based contrast-boosting technique in children: a retrospective study on comparison with conventional-iodine-dose computed tomography

BackgroundLow-iodine-dose computed tomography (CT) protocols have emerged to mitigate the risks associated with contrast injection, often resulting in decreased image quality.ObjectiveTo evaluate the image quality of low-iodine-dose CT combined with an artificial intelligence (AI)-based contrast-boosting technique in abdominal CT, compared to a standard-iodine-dose protocol in children.Materials and methodsThis single-center retrospective study included 35 pediatric patients (mean age 9.2 years, range 1–17 years) who underwent sequential abdominal CT scans—one with a standard-iodine-dose protocol (standard-dose group, Iobitridol 350 mgI/mL) and another with a low-iodine-dose protocol (low-dose group, Iohexol 240 mgI/mL)—within a 4-month interval from January 2022 to July 2022. The low-iodine CT protocol was reconstructed using an AI-based contrast-boosting technique (contrast-boosted group). Quantitative and qualitative parameters were measured in the three groups. For qualitative parameters, interobserver agreement was assessed using the intraclass correlation coefficient, and mean values were employed for subsequent analyses. For quantitative analysis of the three groups, repeated measures one-way analysis of variance with post hoc pairwise analysis was used. For qualitative analysis, the Friedman test followed by post hoc pairwise analysis was used. Paired t-tests were employed to compare radiation dose and iodine uptake between the standard- and low-dose groups.ResultsThe standard-dose group exhibited higher attenuation, contrast-to-noise ratio (CNR), and signal-to-noise ratio (SNR) of organs and vessels compared to the low-dose group (all P-values < 0.05 except for liver SNR, P = 0.12). However, noise levels did not differ between the standard- and low-dose groups (P = 0.86). The contrast-boosted group had increased attenuation, CNR, and SNR of organs and vessels, and reduced noise compared with the low-dose group (all P < 0.05). The contrast-boosted group showed no differences in attenuation, CNR, and SNR of organs and vessels (all P > 0.05), and lower noise (P = 0.002), than the standard-dose group. In qualitative analysis, the contrast-boosted group did not differ regarding vessel enhancement and lesion conspicuity (P > 0.05) but had lower noise (P < 0.05) and higher organ enhancement and artifacts (all P < 0.05) than the standard-dose group. While iodine uptake was significantly reduced in low-iodine-dose CT (P < 0.001), there was no difference in radiation dose between standard- and low-iodine-dose CT (all P > 0.05).ConclusionLow-iodine-dose abdominal CT, combined with an AI-based contrast-boosting technique exhibited comparable organ and vessel enhancement, as well as lesion conspicuity compared to standard-iodine-dose CT in children. Moreover, image noise decreased in the contrast-boosted group, albeit with an increase in artifacts.Graphical

A Novel Liver Tumor segmentation of Adverse Propagation Advanced Swin Transformer Network with Mask region-based convolutional neural networks

The diagnosis and treatment of liver diseases from computed tomography (CT) images is an indispensable task for segmentation of Liver & its tumours. Due to the uneven presence, fuzzy borders, diverse densities, shapes and sizes of lesions segmentation of liver & its tumour is a difficult task. At this point we mainly focused on deep learning algorithms for segmenting liver and its tumour from abdominal CT scan images thereafter minimising the time & energy used for a liver diseases diagnosis This study aims to classify and segment liver tumors using a novel deep learning-based model. A Mask region-based convolutional neural network (Mask R-CNN) model is proposed for multiorgan segmentation to aid esophageal radiation treatment. Due to the fact that organ boundaries may be fuzzy and organ shapes are various, original Mask R-CNN works well on natural image segmentation while leaves something to be desired on the multiorgan segmentation task. Addressing it, the advantages of this method are threefold: (1) a ROI (region of interest) generation method is presented in the RPN (region proposal network) which is able to utilize multiscale semantic features. (2) A prebackground classification subnetwork is integrated to the original mask generation branch to improve the precision of multiorgan segmentation. The segmented image is added to the Adverse Propagation Advanced Swin Transformer Network (APESTNet) to prevent overfitting. The proposed model is based on CT volume slices of patients with liver tumors and evaluated on the public 3D dataset IRCADB01.The proposed model dataset is split into training as 60% and testing as 40 % for classification. The proposed model's accuracy and recall are 99.23 % and 98.24 %, respectively.

A cross-sectional study on the correlation of image quality, effective dose, and body composition with thyroid, chest, and abdominal computed tomography scans

A cross-sectional study on the correlation of image quality, effective dose, and body composition with thyroid, chest, and abdominal computed tomography scans

Quadruple (1440 degrees) intestinal volvulus

Key Clinical MessageA whirl sign on contrast‐enhanced abdominal CT scan is indicative of intestine twisted around the mesenteric vessels, and is observed in cases of strangulated obstruction, signaling compromised intestinal circulation. In cases of intestinal volvulus, surgery is necessary to untwist the affected bowel, and resection is necessary if necrosis is present.AbstractA 31‐year‐old Japanese man presented with acute lower abdominal pain and vomiting. Contrast‐enhanced abdominal computed tomography (CT) revealed a 1440‐degree clockwise torsion of superior mesenteric artery and a whirl sign. Intestinal volvulus in adulthood with a background of malrotation is extremely rare. Contrast‐enhanced CT is effective for diagnosis.

Quantitative Abdominal Arterial Calcification Correlates with Kidney Transplant Waitlist Mortality

Introduction: The scarcity of available organs for kidney transplantation has resulted in a substantial waiting time for patients with end-stage kidney disease. This prolonged wait contributes to an increased risk of cardiovascular mortality. Calcification of large arteries is a high-risk factor in the development of cardiovascular diseases, and it is common among candidates for kidney transplant. The aim of this study was to correlate abdominal arterial calcification (AAC) score value with mortality on the waitlist. Methods: We modified the coronary calcium score and used it to quantitate the AAC. We conducted a retrospective clinical study of all adult patients who were listed for kidney transplant, between 2005 and 2015, and had abdominal computed tomography scan. Patients were divided into two groups: those who died on the waiting list group and those who survived on the waiting list group. Results: Each 1,000 increase in the AAC score value of the sum score of the abdominal aorta, bilateral common iliac, bilateral external iliac, and bilateral internal iliac was associated with increased risk of death (HR 1.034, 95% CI: 1.013, 1.055) (p = 0.001). This association remained significant even after adjusting for various patient characteristics, including age, tobacco use, diabetes, coronary artery disease, and dialysis status. Conclusion: The study highlights the potential value of the AAC score as a noninvasive imaging biomarker for kidney transplant waitlist patients. Incorporating the AAC scoring system into routine imaging reports could facilitate improved risk assessment and personalized care for kidney transplant candidates.

#1925 A rare cause of hyponatremia due to adrenal insufficiency in a patient with small cell lung cancer

Abstract Background and Aims Hyponatremia is the most frequent electrolyte disorder. Small Cell Lung Cancer (SCLC) release often antidiuretic hormone paraneoplastically. But Adrenal insufficiency is a rare cause of hyponatremia in SCLC. Prior one can cause euvolemic hyponatremia, latter one can cause hypovolemic hyponatremia. Opposite treatments should be applied for each one. So They should be investigated carefully before starting the treatment. Method A male patient who had metastatic SCLC was admitted to the emergency. After physical examination blood and urine tests were provided. Results A 52-year-old male patient who had metastatic SCLC was admitted to the emergency unit because of fatigue, weakness and confusion. On physical examination the patient's face was darkened but his conjunctiva was pale, his tongue and mucous membranes were dry. The blood pressure was 90/60 mm Hg. The test results provided were as follows: Glucose 106 mg/dL, creatinine 0.42 mg/dL, urea 38.1 mg/dL, sodium 109 mmol/L, potassium 3.3 mmol/L, white blood cells 9760 /mm3, hemoglobin: 9 g/dL, platelets: 176000/mm3. The patient had no chemotherapy during the last three months. He also did not have a history of antihypertensive treatment. The echocardiographic examination revealed that the ejection fraction was 60%. The abdominal computerized tomography scan showed multiple metastasis of the tumor, but adrenal glands were free of metastasis. The sodium deficit was calculated targeting to 120 mmol/L and therapy was started. The patient's weight was 70 kg. The calculated sodium deficit was 420 mmol. Since the hyponatremia was chronic, the deficit was planned to be given in 24 hours. Potassium was also given. During hospitalization, on day 2nd the patient's blood and urine tests were as follows: Creatinine 0.58 mg/dL, urine creatinine 22.8 mg/dL, 24-hour urine volume 2200 mL, 24-hour creatinine clearance 60 ml/min. Urine sodium concentration 105.6 mmol/L, serum sodium 114 mmol/L, sodium clearance: 1.41 ml/min. Fractional sodium excretion was 2.3%. Although the treatment was continued for 6 days, with the same dose of 420 mEq sodium given for each day, the serum sodium concentration reached to 115 mmol/L on day 6. (Totally, 2520 mEq of sodium was given for 6 days). Therefore, hyponatremia was thought to be due to urinary loss of sodium. The fractional sodium excretion of 2.3% supported this. All these findings suggested the diagnosis of renal salt wasting in this patient. We decided to give the patient fludrocortisone (Astonin H 0.1 mg) twice a day orally in addition to sodium chloride tablets (approximately 1.5 gram = 25-30 mmol). During the follow-up of the patient, the both fludrocortisone pills and salt tablets increased to 2 × 2, finally, when reached the level of sodium is above 130 mmol/L, salt tablets were stopped. One thing need to be noted here; hyponatremia did not improve unless giving fludrocortisone. But after this, although more sodium was given during sodium replacement, there was no increase in fractionated sodium excretion, on the contrary, it decreased. On day 14th, Fractional sodium elimination was 1.7%. Serum Na: 133 mmol/L. The patient was advised to take fludrocortisone tablets twice a day orally and was discharged from hospital on day 15th when serum sodium concentration was 138 mmol/L. If a patient with serum cortisol level below 4 mcg/dl have been evaluated as adrenal insufficiency regardless of ACTH level in sera.; additionally, hyperpigmentation and hyponatremia due to salt wasting through the kidneys led us to diagnose. The hyponatremia resolved only after added fludrocortisone. Conclusion However SCLC can give rise euvolemic hyponatremia producing ADH generally, besides, SCLC can cause adrenal insufficiency leading to serious hypovolemic hyponatremia. Diagnose is of crucial importance for correct treatment which can be only achieved by replacing the both sodium and fludrocortisone.

Assessing the clinical utility of abdominal computed tomography in sepsis patients with unknown origin: A retrospective cohort study.

Early identification of the sources of infection in emergency department (ED) patients of sepsis remains challenging. Computed tomography (CT) has the potential to identify sources of infection. This retrospective study aimed to investigate the role of CT in identifying sources of infection in patients with sepsis without obvious infection foci in the ED. A retrospective chart review was conducted on patients with fever and sepsis visiting the ED of Linkou Chang Gung Memorial Hospital between July 1, 2020 and June 30, 2021. Data on patient demographics, vital signs, clinical symptoms, underlying medical conditions, laboratory results, administered interventions, length of hospital stay, and mortality outcomes were collected and analyzed. Of 218 patients included in the study, 139 (63.8%) had positive CT findings. The most common sources of infection detected by CT included liver abscesses, acute pyelonephritis, and cholangitis. Laboratory results showed that patients with positive CT findings had higher white blood cell and absolute neutrophil counts and lower hemoglobin levels. Positive blood culture results were more common in patients with positive CT findings. Additionally, the length of hospital stay was longer in the group with positive CT findings. Multivariate logistic regression analysis revealed that hemoglobin levels and positive blood culture results independently predicted positive CT findings in patients with fever or sepsis without an obvious source of infection. In patients with sepsis with an undetermined infection focus, those presenting with leukocytosis, anemia, and elevated absolute neutrophil counts tended to have positive findings on abdominal CT scans. These patients had high rates of bacteremia and longer lengths of stay. Abdominal CT remains a valuable diagnostic tool for identifying infection sources in carefully selected patients with sepsis of undetermined infection origins.

End-to-End Semi-Supervised Opportunistic Osteoporosis Screening Using Computed Tomography.

Osteoporosis is the most common metabolic bone disease and can cause fragility fractures. Despite this, screening utilization rates for osteoporosis remain low among populations at risk. Automated bone mineral density (BMD) estimation using computed tomography (CT) can help bridge this gap and serve as an alternative screening method to dual-energy X-ray absorptiometry (DXA). The feasibility of an opportunistic and population agnostic screening method for osteoporosis using abdominal CT scans without bone densitometry phantom-based calibration was investigated in this retrospective study. A total of 268 abdominal CT-DXA pairs and 99 abdominal CT studies without DXA scores were obtained from an oncology specialty clinic in the Republic of Korea. The center axial CT slices from the L1, L2, L3, and L4 lumbar vertebrae were annotated with the CT slice level and spine segmentation labels for each subject. Deep learning models were trained to localize the center axial slice from the CT scan of the torso, segment the vertebral bone, and estimate BMD for the top four lumbar vertebrae. Automated vertebra-level DXA measurements showed a mean absolute error (MAE) of 0.079, Pearson's r of 0.852 (P<0.001), and R2 of 0.714. Subject-level predictions on the held-out test set had a MAE of 0.066, Pearson's r of 0.907 (P<0.001), and R2 of 0.781. CT scans collected during routine examinations without bone densitometry calibration can be used to generate DXA BMD predictions.

Deep learning imaging phenotype can classify metabolic syndrome and is predictive of cardiometabolic disorders

BackgroundCardiometabolic disorders pose significant health risks globally. Metabolic syndrome, characterized by a cluster of potentially reversible metabolic abnormalities, is a known risk factor for these disorders. Early detection and intervention for individuals with metabolic abnormalities can help mitigate the risk of developing more serious cardiometabolic conditions. This study aimed to develop an image-derived phenotype (IDP) for metabolic abnormality from unenhanced abdominal computed tomography (CT) scans using deep learning. We used this IDP to classify individuals with metabolic syndrome and predict future occurrence of cardiometabolic disorders.MethodsA multi-stage deep learning approach was used to extract the IDP from the liver region of unenhanced abdominal CT scans. In a cohort of over 2,000 individuals the IDP was used to classify individuals with metabolic syndrome. In a subset of over 1,300 individuals, the IDP was used to predict future occurrence of hypertension, type II diabetes, and fatty liver disease.ResultsFor metabolic syndrome (MetS) classification, we compared the performance of the proposed IDP to liver attenuation and visceral adipose tissue area (VAT). The proposed IDP showed the strongest performance (AUC 0.82) compared to attenuation (AUC 0.70) and VAT (AUC 0.80). For disease prediction, we compared the performance of the IDP to baseline MetS diagnosis. The models including the IDP outperformed MetS for type II diabetes (AUCs 0.91 and 0.90) and fatty liver disease (AUCs 0.67 and 0.62) prediction and performed comparably for hypertension prediction (AUCs of 0.77).ConclusionsThis study demonstrated the superior performance of a deep learning IDP compared to traditional radiomic features to classify individuals with metabolic syndrome. Additionally, the IDP outperformed the clinical definition of metabolic syndrome in predicting future morbidities. Our findings underscore the utility of data-driven imaging phenotypes as valuable tools in the assessment and management of metabolic syndrome and cardiometabolic disorders.

The application of deep learning in abdominal trauma diagnosis by CT imaging

BackgroundAbdominal computed tomography (CT) scan is a crucial imaging modality for creating cross-sectional images of the abdominal area, particularly in cases of abdominal trauma, which is commonly encountered in traumatic injuries. However, interpreting CT images is a challenge, especially in emergency. Therefore, we developed a novel deep learning algorithm-based detection method for the initial screening of abdominal internal organ injuries.MethodsWe utilized a dataset provided by the Kaggle competition, comprising 3,147 patients, of which 855 were diagnosed with abdominal trauma, accounting for 27.16% of the total patient population. Following image data pre-processing, we employed a 2D semantic segmentation model to segment the images and constructed a 2.5D classification model to assess the probability of injury for each organ. Subsequently, we evaluated the algorithm’s performance using 5k-fold cross-validation.ResultsWith particularly noteworthy performance in detecting renal injury on abdominal CT scans, we achieved an acceptable accuracy of 0.932 (with a positive predictive value (PPV) of 0.888, negative predictive value (NPV) of 0.943, sensitivity of 0.887, and specificity of 0.944). Furthermore, the accuracy for liver injury detection was 0.873 (with PPV of 0.789, NPV of 0.895, sensitivity of 0.789, and specificity of 0.895), while for spleen injury, it was 0.771 (with PPV of 0.630, NPV of 0.814, sensitivity of 0.626, and specificity of 0.816).ConclusionsThe deep learning model demonstrated the capability to identify multiple organ injuries simultaneously on CT scans and holds potential for application in preliminary screening and adjunctive diagnosis of trauma cases beyond abdominal injuries.

Advancing body composition assessment in patients with cancer: First comparisons of traditional versus multicompartment models

Background and aimsMeasurement of body composition using computed tomography (CT) scans may be a viable clinical tool for low muscle mass assessment in oncology. However, longitudinal assessments are often infeasible with CT. Clinically accessible body composition technologies can be used to track changes in fat-free mass (FFM) or muscle, though their accuracy may be impacted by cancer-related physiological changes. The purpose of this study was to examine the agreement among accessible body composition method with criterion methods for measures of whole-body FFM measurements and, when possible, muscle mass for the classification of low muscle in patients with cancer. MethodsPatients with colorectal cancer were recruited to complete measures of whole-body DXA, air displacement plethysmography (ADP), and bioelectrical impedance analysis (BIA). These measures were used alone, or in combination to construct the criterion multicompartment (4C) mode for estimating FFM. Patients also underwent abdominal CT scans as part of routine clinical assessment. Agreement of each method with 4C model was analyzed using mean constant error (CE = criterion – alternative), linear regression including root mean square error (RMSE), Bland-Altman limits of agreement (LoA) and mean percentage difference (MPD). Additionally, appendicular lean soft tissue index (ALSTI) measured by DXA and predicted by CT were compared for the absolute agreement, while the ALSTI values and skeletal muscle index by CT were assessed for agreement on the classification of low muscle mass. ResultsForty-five patients received all measures for the 4C model and 25 had measures within proximity of clinical CT measures. Compared to 4C, DXA outperformed ADP and BIA by showing the strongest overall agreement (CE = 1.96 kg, RMSE = 2.45 kg, MPD = 98.15 ± 2.38%), supporting its use for body composition assessment in patients with cancer. However, CT cutoffs for skeletal muscle index or CT-estimated ALSTI were lower than DXA ALSTI (average 1.0 ± 1.2 kg/m2) with 24.0% to 32.0% of patients having a different low muscle classification by CT when compared to DXA. ConclusionsDespite discrepancies between clinical body composition assessment and the criterion multicompartment model, DXA demonstrates the strongest agreement with 4C. Disagreement between DXA and CT for low muscle mass classification prompts further evaluation of the measures and cutoffs used with each technique. Multicompartment models may enhance our understanding of body composition variations at the individual patient level and improve the applicability of clinically accessible technologies for classification and monitoring change over time.

İnternal İliyak Vene Yerleşmiş bir Femoral Venöz Kateter Malpozisyonu: Olgu Sunumu

Central venous catheters are used for many purposes in intensive care. Venous catheterization in the femoral region is safer than others regarding mechanical complications. Although femoral catheter malpositions are rare, they can lead to fatal consequences, especially when diagnosed late. In this article, the misplaced femoral central venous catheter in the internal iliac vein is presented. A 36-year-old male patient diagnosed with respiratory failure displayed septicemia symptoms during his follow-up in the intensive care unit. A blood sample from the central catheter in the right femoral region showed bacterial growth. Therefore, a new central venous catheter was placed into the left femoral vein for an inotropic infusion. According to the abdominal computed tomography scan report performed for a different reason the next day, the catheter was seen in an incorrect position. The evaluation revealed the catheter to be situated in the internal iliac vein. The catheter was removed without complications. We share a report regarding catheter malposition found in the internal iliac vein. Physicians must keep in mind that early detection of catheter malpositions is critical. Keywords: Central venous catheters, catheterization, femoral vein, catheter-related infections

Scar endometriosis as an easily misdiagnosed abdominal mass: a case report and review of the literature

Scar endometriosis, which is characterized by ectopic endometrial-like glands and stroma surrounding scar tissue, is rare and presents diagnostic challenges due to its inconsistent presentation. We report a case of a 40-year-old woman who had previously undergone two cesarean sections and a hysterectomy, in whom a mass in the subcutaneous layer of the lower abdomen was incidentally discovered by computed tomography (CT). A physical examination revealed a linear cesarean scar with a palpable, pigmented mass. An enhanced abdominal CT scan revealed an approximately 3.5-cm ill-defined soft tissue mass infiltrating the rectus abdominis muscle. A desmoid tumor was suspected based on the radiological findings, and endometriosis was also considered in light of the patient’s medical history. Wide mass excision was performed, ensuring 5-mm margins. The mass was completely excised, and a histopathological examination revealed endometriosis. Due to its rarity, scar endometriosis in the abdominal area can be easily misdiagnosed. Therefore, a heightened suspicion of scar endometriosis should be maintained in female patients with a history of abdominal or pelvic surgery presenting with an abdominal mass. Although imaging modalities can play a supportive role in the diagnosis, an extensive medical history assessment and comprehensive physical examination remain crucial.

Giant intraperitoneal non-pancreatic pseudocyst: a case report

IntroductionNon-pancreatic pseudocysts are rare lesions that typically form from the omentum and mesentery. These cysts have a thick fibrotic wall made up of fibrous tissue and may show signs of calcifications and inflammatory changes. The fluid inside them can vary, ranging from hemorrhage and pus to serous or sometimes chylous content. In most cases, these cysts appear as a result of trauma, surgery, or infection.Case presentationA 35-year-old male patient from Ethiopia presented with swelling in his lower abdomen that had been present for 2 years. Initially, the swelling was small but gradually increased in size. The patient experienced frequent urination but no pain or difficulty during urination, urgency, intermittent urination, or blood in the urine. The swelling was initially painless but became painful 2 months prior to his presentation. Abdominal computed tomography scans revealed a well-defined, lobulated peritoneal lesion measuring 16 × 12 × 10 cm, consisting primarily of fluid-filled cysts with a thick, enhancing wall and septa. Additionally, there was a large, heterogeneous enhancing soft tissue component measuring 8 × 6 cm. As a result, the cystic mass was surgically removed in its entirety with partial removal of the bladder wall, and the patient was discharged in an improved condition.ConclusionPrimary non-pancreatic pseudocysts are extremely rare lesions that must be differentiated from other possible causes of cystic lesions within the peritoneal or retroperitoneal regions. Surgeons should be aware of the potential occurrence of these lesions, which may have an unknown origin.