Computed Tomography Findings Research Articles

The fallacy of a roadmap computed tomography after an abdominal gunshot wound: A road that leads to nowhere.

The 2019 Western Trauma Association guidelines recommend an abdominopelvic computed tomography (CTAP) in patients with a question of abdominal penetration after a gunshot wound. However, it is common practice to obtain a CTAP to provide a roadmap for an operation or to potentially alter management even in patients with classic indications for a laparotomy. The hypothesis for this study was that a CTAP for preoperative planning has no value in patients with an abdominal gunshot wound. This was a retrospective study from 2017 to 2022 of patients with an abdominal gunshot wound who had a preoperative CTAP. Data collection included clinical characteristics and CTAP and operative findings. Admission hypotension, abdominal pain and/or peritonitis, evisceration, and a transabdominal trajectory were considered clear indications for laparotomy. Computed tomography and operative findings were compared to determine concordance and if computed tomography altered management. There were 149 patients included in the study, of which 72.5% had a clear indication for laparotomy. The CTAP findings were concordant with operative findings in 57.0% of patients, while additional injuries were found at laparotomy in 36.2% of patients. Based on CTAP, a negative diagnostic angiogram was performed in three patients (2.0%). Three patients (2.0%) underwent a trial of nonoperative management based on CTAP findings. All underwent laparotomy after a clinical change. Six patients (4.0%) had a nontherapeutic operation; all patients had findings suspicious for either a hollow viscous injury or a vascular injury on preoperative imaging. While a CTAP scan may help to define an intra-abdominal trajectory when the trajectory is unclear, it does not alter management in those with indications for operation. In addition, CTAP missed injuries in a third of patients and contributed to all six nontherapeutic laparotomies. A preoperative CTAP has minimal value in patients who have indications for an operation. Diagnostic Test/Criteria; Level IV.

Scoring model for the diagnosis of colorectal perforation and its differentiation from gastroduodenal perforation.

Distinguishing colorectal from gastroduodenal perforations is clinically important and challenging. We aimed to establish a scoring model based on objective findings (excluding computed tomography findings) for the diagnosis of colorectal perforation and its differentiation from gastroduodenal perforation. Patients diagnosed with colorectal or gastroduodenal perforations between January 2014 and December 2021 were retrospectively studied. Univariate and multivariate analyses were performed to identify independent variables, and a scoring model was developed based on these variables. Among 131 eligible patients, 64 (48.9%) were in the colorectal group and 67 (51.1%) were in the gastroduodenal group. White blood cell count, C-reactive protein, and quick Sequential Organ Failure Assessment score were identified as independent clinical variables associated with the diagnosis of colorectal perforation, which differentiated colorectal perforation from gastroduodenal perforation, and were used to develop a new scoring model. The scores ranged from 0 to 5, with an area under the receiver operating characteristic curve of 0.846. The probabilities of colorectal perforation with scores of 0, 1.5, 2, 3, 3.5, and 5 were 3.2, 20, 55.6, 81.8, 73.9, and 82.4%, respectively. The new scoring model may help in treatment selection and perioperative management of patients with gastrointestinal perforation.

Validation of abdominal ultrasound examination for assessment of abdominal wall thickness and size of left lobe of liver in morbidly obese patients in comparison with CT and operative findings

BackgroundIncreased abdominal wall thickness and size of left lobe of liver affect the ergonomics of bariatric surgery increasing its difficulty and leading to need of special preparations such as extra-long instruments. Computed tomography (CT) abdomen is the gold standard modality in assessment of abdominal wall thickness and size of left lobe of liver, but it has many drawbacks such as radiation and contrast. In this study, we validate ultrasound as an alternative to CT by comparing its results with CT abdomen and operative findings.ResultsAbdominal ultrasound examination gives accurate results in assessment of anterior abdominal wall thickness and size of left lobe of liver in morbidly obese patients compared to CT and intra-operative with slight difference between values which is clinically accepted. Accuracy of ultrasound examination was 78.6%, 74.1%, and 100% for midline measurements, midclavicular line measurements and size of lt lobe of liver measurements, respectively. Ultrasound examination has sensitivity of 75%, 66.7% and 63.2% for midline measurements, midclavicular line measurements and size of lt lobe of liver measurements, respectively. Ultrasound examination specificity was 50%, 77.1% and 75.3% for midline measurements, midclavicular line measurements and size of lt lobe of liver measurements, respectively.ConclusionAbdominal ultrasound examination is a valid method in preoperative assessment of anterior abdominal wall thickness and size of left lobe of liver in morbidly obese patients. It is reliable, easy, and cheap and avoids drawbacks of CT.

Clinical features, imaging findings, and outcomes of acute abdominal pain in systemic lupus erythematosus: comparing mesenteric vasculitis, non-mesenteric vasculitis, and surgical conditions.

To determine the spectrum, clinical features and outcomes in systemic lupus erythematosus (SLE) patients with acute abdominal pain (AAP). Medical records of SLE patients in a lupus cohort from January 1987 to June 2023 were reviewed. Patients with AAP requiring hospitalization were identified and categorized into 3 groups: lupus mesenteric vasculitis (LMV), non-LMV, and surgical AAP. Each AAP episode represented one patient. Of 1,538 patients in the cohort, 62 (4.03%) had 93 episodes of AAP. After exclusion, 31 patients had 39 LMV episodes, and 30 had 40 non-LMV episodes (19 due to surgical AAP). Seventy-six of the 79 AAP episodes (96.20%) were in females, with a mean ± SD age and median (IQR) disease duration of 36.76 ± 13.60 years and 6 (2, 9) years, respectively. Patients in the LMV group had more fever, nausea and vomiting, and diarrhea than those in the non-LMV group. They also had more small bowel involvement, bowel wall thickening, target water enhancement signs, mesenteric vessels engorgement and mesenteric fat cloudiness, and higher SLE disease activity. These differences were more pronounced when compared to the surgical AAP group. Treatment with corticosteroids and immunosuppressive drugs gave favorable outcomes in the LMV group. Two of 40 (5.00%) non-LMV AAP patients died, of which 1 (5.26%) was in the surgical AAP group. LMV was common among SLE patients admitted for AAP. LMV usually presented with fever, gastrointestinal dysmotility symptoms, diffused abdominal pain, together with evidence of active disease. Localized abdominal pain with peritoneal signs favored surgical AAP. Key Points • Lupus mesenteric vasculitis is common among SLE patients presenting with acute abdominal pain. Its presence often associates with gastrointestinal symptoms together with other clinical manifestations of SLE • The signs in abdominal computed tomography findings are not specific and could be observed in other causes of abdominal pain in SLE. Interpretation of these signs should be cautionary and accompanied by history taking and physical abdominal findings • Treatment of lupus mesenteric vasculitis with corticosteroids alone, or in combination with immunosuppressive drugs, usually results in good outcomes.

Comparison of computed tomography findings between perianal tumors originating from the anal sacs and perianal glands in dogs.

Tumors originating from the anal sacs and perianal glands are common tumors of the perianal region. However, differentiation of perianal tumors based on CT findings remains challenging because perianal tumors can show overlapping CT characteristics. Therefore, this retrospective, multi-institutional study aimed to identify the CT findings that can differentiate between tumors originating from the anal sacs and perianal glands in canines. Twenty dogs were included, with nine apocrine gland anal sac adenocarcinomas (AGASACAs), six perianal gland adenomas, three perianal gland carcinomas, and two perianal gland epitheliomas. The tumor CT features included the tumor growth pattern, tumor shape, cystic changes within the tumor, contrast enhancement pattern, displacement of the anus, and identification of the anal sacs. The prevalences of suspected metastatic lymphadenopathy of the iliosacral lymph centers and lung metastases were evaluated. The tumor volumes and values normalized to body weight were also assessed. The tumor growth patterns differed significantly between AGASACAs and perianal gland tumors. AGASACAs mostly showed unilateral growth, whereas perianal gland tumors mostly exhibited bilateral growth. CT features, except for the tumor growth pattern, failed to show significant differences between tumors arising from the anal sacs and those arising from the perianal glands. Although histopathological diagnosis remains the gold standard, this study's findings suggest that CT analysis of tumor growth patterns may help differentiate AGASACAs from perianal gland tumors.

Clinically relevant findings on 24-h head CT after acute stroke therapy: The 24-h CT score.

Routine head computed tomography (CT) is performed 24 h post-acute stroke thrombolysis and thrombectomy, even in patients with stable or improving clinical deficits. Predicting CT results that impact management could help prioritize patients at risk and potentially reduce unnecessary imaging. In this institutional review board (IRB)-approved retrospective study, data from 1461 consecutive acute ischemic stroke patients at our Comprehensive Stroke Center (n = 8943, 2012-2022) who received intravenous thrombolysis or endovascular therapy, exhibited stable or improving 24-h exams, and underwent 24-h follow-up head CT per standard acute stroke care guidelines. CT reports 24 h post-stroke were reviewed for edema, mass effect, herniation, and hemorrhage. The primary outcome was any clinically relevant 24-h CT finding that led to changes in antithrombotic treatment or blood pressure goals, extended intensive care unit (ICU) stays or hospitalizations, neurosurgical interventions, or administration of mannitol or hypertonic saline. Multivariable logistic regression identified independent predictors of clinically meaningful CT abnormalities. A 24-h CT score was developed and cross-validated. The mean age was 70 years, with 47% women. The median National Institutes of Health Stroke Scale (NIHSS) score at admission was 12 (interquartile range (IQR): 6-18). Stroke-related abnormalities on 24-h CT were present in 325 patients (22.2%), with 183 (12.5%) showing clinically relevant findings. Age, admission NIHSS, and blood glucose levels were independent predictors of clinically relevant 24-h CT findings. The final model C statistic was 0.72 (95% confidence interval (CI): 0.68-0.76) in the derivation cohort and 0.72 (95% CI: 0.67-0.75) in bootstrapping validation. The 24-h CT score was developed using these predictors: NIHSS score 5-15 (+3); NIHSS score ⩾16 (+5); age < 75 years (+1); admission glucose ⩾ 140 mg/dL (+1). The prevalence of clinically relevant CT findings was 4.3% in the low-risk group (24-h CT score ⩽ 4), 11.3% in the medium-risk group (score 5), and 21.4% in the high-risk group (score ⩾ 6). The 24-h CT score demonstrated good calibration. In patients undergoing thrombolysis or thrombectomy who undergo routine 24-h head CT despite remaining clinically stable or improving, only one in eight prove to have 24-h head CT findings that impact management. The 24-h CT score provides risk stratification that may improve resource utilization. A.S. and B.Z. have full access to the data used in the analysis in this article. Deidentified data will be shared after ethics approval if requested by other investigators for purposes of replicating the results.

Comparison of Chest Computed Tomography Findings in Patients with H1N1 and Coronavirus Disease-2019 Pneumonia

Comparison of Chest Computed Tomography Findings in Patients with H1N1 and Coronavirus Disease-2019 Pneumonia

CT imaging of clinically significant abdominopelvic injuries in the damage control surgery patient.

Damage Control Surgery (DCS) refers to a staged laparotomy performed in patients who have suffered severe blunt or penetrating abdominopelvic trauma with the goal of managing critical injuries while avoiding life threatening metabolic derangements. Within 24h of the initial laparotomy, computed tomography (CT) is used to assess the full extent of injuries. The purpose of this study was to assess the incidence of clinically significant unknown abdominopelvic injuries which required further dedicated surgical or interventional radiology management and failed surgical repairs identified on CT following initial laparotomy. CT findings were correlated with surgical findings from the initial and subsequent staged laparotomy to determine known and unknown injuries. Frequency and percentage analyses was performed. Out of 63 patients who underwent DCS with an open abdomen following initial laparotomy and subsequent CT within 24h, a total of 13 clinically significant abdominopelvic injuries were identified in 12 patients. Seven clinically significant injuries were identified in seven patients (11.1% of patients) in surgically explored areas. Six clinically significant injuries were identified in six patients (9.5%) in surgically unexplored areas. Four instances of failed initial surgical repair were identified in four patients (6.3%) involving the liver and gastrointestinal tract. Overall, 23.8% of the DCS patient population had an actionable finding on the post laparotomy CT. CT demonstrated value for identifying the extent of clinically significant abdominopelvic injuries and evidence of failed initial surgical repair, which informed surgical planning for subsequent laparotomy. The authors advocate for performing CT in post-DCS patients with an open abdomen as soon as possible following correction of metabolic and hemodynamic derangements.

Associations between elevated uric acid and brain imaging abnormalities in pediatric patients with methylmalonic acidemia under 5 years of age

Methylmalonic acidemia (MMA) is the most common inborn organic acidemia, presenting multisystemic complications. Uric acid may have neurotoxic or neuroprotective effects due to its antioxidant or pro-inflammatory properties; however, its role in MMA brain injury remains unclear. We examined the correlation between the serum uric acid levels and brain imaging features of MMA. Data were collected from a cross-sectional study of 216 patients with MMA and 216 healthy matched controls aged 0–5 years in China. Serum uric acid levels were measured, and magnetic resonance imaging and computed tomography findings were retrieved from hospital records. Overall, 74.1% patients had brain abnormalities. Patients in the MMA group with abnormal brain imaging had higher serum uric acid levels than those in the MMA normal brain imaging and control groups. The area under the curve of serum uric acid was 0.74, 0.91, and 0.93 for MMA diagnosis with abnormal brain images, basal ganglia changes, and globus pallidus changes, respectively. Higher serum uric acid levels were independently associated with abnormal brain images. Children aged < 5 years with abnormal brain images in MMA exhibit elevated serum uric acid levels, serving as an effective auxiliary diagnostic indicator and independent risk factor for brain tissue injury.

Comparison of the Inadequacies of Ultrasonography and Computed Tomography in the Diagnosis of Sialolithiasis.

This study aimed to determine the value of either ultrasonography and computed tomography (CT) alone or both for diagnosing salivary gland stones. Based on their clinical findings and physical examination, 188 patients with salivary stones were included. Initially, an ultrasound was performed, and then a non-contrast-enhanced thin-sliced CT scan was done. The study included 161 patients with suspected submandibular gland (SMG) sialolithiasis and 27 with parotid gland (PG) sialolithiasis. Among the SMG cases, stones were confirmed in 130 patients through interventional sialoendoscopy. Sixteen of the stones were detected by CT scan only and were not seen in the previous ultrasound examination. After the second follow-up ultrasound, which was conducted after reviewing the CT scans, 9 of them were identified. Five patients with distal stones and ductal dilation on ultrasound were confirmed to have sialolithiasis. In 5 patients with stones detected on ultrasound but not on CT, dental filling artifacts were identified as the cause. For PG cases, stones were observed in 18 out of 19 patients with suspected sialolithiasis based on ultrasound and CT findings. Three patients with positive CT findings but negative ultrasound showed stones during sialendoscopy. During an ultrasound examination, palpating the floor of the mouth with the other hand's index finger can help identify stones obscured by the shadow of the mandible, thereby enhancing the test's accuracy. Patients with dental fillings, implants, and permanent dentures should not be referred for a CT scan to avoid unnecessary exposure to ionizing radiation. They also cause significant metallic artifacts in the field of interest. In these cases, ultrasound should be considered. To minimize the effects of ionizing radiation, it is recommended to create limited field requests for the target, focusing solely on the submandibular and PGs.

Concordance of Chest Radiography and Chest Computed Tomography Findings in Patients with Hematologic Malignancy and Invasive Mucormycosis: What Are the Prognostic Implications?

Invasive pulmonary mucormycosis (IPM) is a deadly opportunistic mold infection in patients with hematological malignancies (HM). Radiologic imaging is essential for its timely diagnosis. Here, we compared IPM lesions visualized by chest computed tomography (CCT) and chest X-ray (CXR) and determined the prognostic significance of discordant imaging. Therefore, we reviewed 44 consecutive HM patients with probable/proven IPM at MD Anderson Cancer Center in 2000-2020 who had concurrent CCT and CXR studies performed. All 44 patients had abnormal CCTs and 39 (89%) had anormal CXR findings at IPM diagnosis. However, only 26 patients (59%) showed CCT-matching IPM-suspicious lesions on CXR. Acute Physiology and Chronic Health Evaluation II score > 18 at IPM diagnosis and breakthrough infection to Mucorales-active antifungals were the only independent risk factors for 42-day and/or 84-day mortality. Absence of neutropenia at IPM diagnosis, neutrophil recovery in neutropenic patients, and surgical revision of mucormycosis lesions were protective factors. Although not reaching significance on multivariable analysis, visualization of CCT-matching lesions on CXR was associated with significantly increased 84-day mortality (log-rank test, p = 0.033), possibly as a surrogate of extensive lesions and tissue necrosis. This observation supports the exploration of radiologic lesion kinetics as a prognostic staging tool in IPM patients.

THE ROLE OF CA 19.9 IN PREDICTING THE OPERABILITY OF CARCINOMA PANCREAS

Objectives: Adenocarcinoma of the pancreas remains a relatively incurable disease despite advances in surgical care. Approximately 25% of patients will be found to have unresectable tumors during surgery even though computed tomography (CT) has demonstrated that they are resectable. There is a controversy regarding the use of cancer antigen 19-9 (CA 19-9) to decide the resectability of pancreatic adenocarcinoma [1]. Our aim is to study the use of CA 19-9 in determining the operability of carcinoma pancreas [2]. Methods: This was a prospective study which included 69 patients and the study period was from December 2021 to December 2022. Data were collected from all patients with carcinoma of the pancreas who underwent surgical management. CA 19-9 levels were measured and recorded [3]. During surgery, the operative findings on resectability were documented and tabulated against corresponding CA 19-9 levels and contrast-enhanced CT (CECT) findings. Results: Of the 69 patients who were operated on, 38 patients had resectable tumors and underwent the Whipples procedure and 31 of them had non-resectable tumors and had to undergo palliative bypass procedures. Among the 31 patients whose tumors were non-resectable, only four were diagnosed non-resectable preoperatively with CECT, and the other 27 were found to be non-resectable only during surgery. That shows the relevance of this study. Of the 31 non-resectable cases, 14 (45.2%) patients had elevated CA 19-9 values of more than 501, and the rest 17 (54.8%) patients had low CA 19-9 values. Among the 38 resectable cases, 12 patients (31.6%) had elevated CA 19-9 more than 501, and 26 patients (68.4%) had low values. In conclusion, among non-resectable cases, 45.2% had raised CA 19-9, and among operable cases, 31.6% showed raised CA 19-9. Hence, CA 19-9 seems to be an insignificant predictor of tumor resectability [4]. Conclusion: It was found that the need for a pre-operative predictor for resectability of carcinoma pancreas is relevant while considering mortality and morbidity in operating carcinoma pancreas cases. On evaluating CA 19-9 as a pre-operative predictor, we found that CA 19-9 has no significant role as an indicator of local advancement or metastasis. Hence, we cannot consider CA 19-9 as a predictor of resectability of carcinoma pancreas preoperatively [5].

Imaging Features Differentiating Between Cardiac Sarcomas and Hematologic Neoplasms.

The aim of the study is to assess the efficacy of computed tomography (CT) and positron emission tomography (PET)/CT findings in differentiating between cardiac sarcoma and cardiac hematologic neoplasms, which are rare but potentially lethal primary cardiac malignancies. We searched the electronic medical record for pathology-proven cases from 2012 to 2023, finding 69 patients (46 sarcomas, 23 cardiac hematologic neoplasms). Imaging features including tumor size, atrioventricular (AV) groove involvement, right coronary artery (RCA) encasement by 180°, pericardial effusion, lymphadenopathy, and metabolic activity on fluorodeoxyglucose PET were reviewed by a radiology fellow. Statistical analysis was performed using Fisher exact test and Wilcoxon test. Cardiac sarcoma patients were younger (median age 49 years) compared to patients with cardiac hematologic malignancies (66 years, P = 0.006). While tumor size and chamber involvement were similar between the 2 categories, hematologic malignancies exhibited a notable predilection for AV groove involvement (70% vs 43%, P = 0.04) and RCA encasement (52% vs 26%, P = 0.02). Pulmonary metastases were more frequent in sarcoma cases (33% vs 4%, P = 0.006). There was no significant difference in fluorodeoxyglucose uptake. Lymphadenopathy was similar between the 2 disease groups. A decision tree constructed using AV groove involvement and patient age achieved 75% accuracy in predicting the diagnosis of the mass. Overall, there is a substantial overlap in imaging features of cardiac sarcomas and hematologic malignancies involving the heart. Involvement of the AV groove and RCA encasement can allow a radiologist to favor hematologic malignancy. Ultimately, biopsy is required to establish a diagnosis.

Clinical Impact of Radiologist’s Alert System on Patient Care for High-risk Incidental CT Findings: A Machine Learning-Based Risk Factor Analysis

Rationale and ObjectivesEfficient communication between radiologists and clinicians ordering computed tomography (CT) examinations is crucial for managing high-risk incidental CT findings (ICTFs). Herein, we introduced a Radiologist’s Alert and Patient Care Follow-up System (APCFS) for high-risk ICTFs. This study aimed to analyze the ICTFs detected by this system and the factors associated with them. Materials and MethodsThis retrospective study was approved by the institutional review board. We analyzed 52,331 CT examinations conducted between 2019 and 2021. In cases where high-risk ICTFs were identified, radiologists utilized APCFS to prompt ordering clinicians for further patient care. We assessed the frequency, affected body organs, presence or absence of therapeutic interventions, and diagnoses of high-risk ICTFs. An automated machine learning platform was employed to analyze the factors associated with high-risk ICTFs. ResultsAmong the 52,331 CT examinations, 507 (0.96%) revealed high-risk ICTFs, primarily affecting the lung (18.0%). Of these 507 high-risk ICTFs, 117 (23.1%) underwent therapeutic interventions, while 362 (71.4%) required only follow-up. Of the 117 cases undergoing interventions, 61 (52.1%) required surgery. Of the 219 high-risk ICTFs leading to a confirmed diagnosis, 146 (66.7%) were neoplastic lesions, including 88 (60.3%) malignancies, and 73 (33.3%) were non-neoplastic lesions. The top three risk factors associated with high-risk ICTFs in the regularized logistic regression model were the imaging protocol (especially aortic valve implantation planning protocol), imaging area (especially whole-body imaging), and clinical department (especially cardiology). ConclusionUtilizing APCFS, high-risk ICTFs were detected in approximately 1% of all CT examinations, likely associated with specific imaging protocols, areas, and clinical departments.

Detection of damage caused by Nezara viridula on soybean using novel imaging approaches based on computed tomography and image color analysis.

Soybean (Glycine max L.) is an important leguminous plant, in which pests trigger significant damage every year. Important members of this community are insects with piercing-sucking mouthpart, especially the southern green stinkbug, Nezara viridula L.. This insect with its extraoral digestion causes visible alterations (morphological and color changes) in the seeds. We aimed to obtain precise information about the extent and nature of damage in soybeans caused by N. viridula using nondestructive imaging methods. Two infestation conditions were applied: one with controlled numbers of pests (six insects/15 pods) and another with naturally occurring pests (samples collected from the apical part of the plant and samples from whole plants). An intact control group was also included, resulting in four treatment groups. Seed samples were analyzed by computed tomography (CT) and image color analysis under laboratory conditions. According to our CT findings, the damage caused by N. viridula changed the radiodensity, volume, and shape (Solidity) of the soybean seeds during the pod-filling and maturing period. Radiodensity was significantly reduced in all three damaged categories compared to the intact sample; the mean radiodensity reduction range was 49-412 HU. The seed volume also decreased significantly (25%-80% decrease), with a threefold reduction for samples exposed to regulated damage compared to natural ones. The samples exposed to natural damage showed significant but minor reduction in solidity, while samples exposed to regulated damage showed a prominent decrease (~12%). Image color analysis showed that the damaged samples were well distinguishable, and the differences were statistically verifiable. The achieved data derived from our external and internal imaging approaches contribute to a better understanding of the internal chemical processes, and CT analysis helps to understand the alteration trends of the hidden structure of seeds caused by a pest. Our results can contribute to the development of a practically applicable system based on image analysis, which can identify lots damaged by insects.

The first Japanese case of autosomal dominant cutis laxa with a frameshift mutation in exon 30 of the elastin gene complicated by small airway disease with 8 years of follow-up

BackgroundCutis laxa constitutes a diverse group of connective tissue diseases, both inherited and acquired, characterized by loose skin and varying systemic involvement, including pulmonary lesions. While cutis laxa has been linked to conditions like emphysema, asthma, and bronchiectasis, the specific pathological and radiological characteristics underlying pulmonary complications related to cutis laxa remain unclear.Case presentationA 36-year-old woman, diagnosed with cutis laxa at birth, presented to our outpatient clinic with severe obstructive ventilatory impairment, evident in pulmonary function tests (expiratory volume in one second (FEV1)/forced vital capacity (FVC): 34.85%; %residual volume [RV]: 186.5%; %total lung capacity [TLC]: 129.2%). Pulmonary function tests also indicated small airway disease (%FEF50%, 7.9%; %FEF75%, 5.7%; and %FEF25–75%, 6.8%). Computed tomography (CT) revealed the lack of normal increase in lung attenuation on expiratory CT scan, with no discernible emphysematous changes. Exome sequencing was performed to confirm the association between the pulmonary lesions and cutis laxa, revealing a frameshift variant in exon 30 of the elastin gene (ELN). Further analysis employing a parametric response map revealed a longitudinal increase in the percentage of functional small airway disease (fSAD) from 37.84% to 46.61% over the 8-year follow-up, despite the absence of overt changes in CT findings, specifically the lack of normal increase in lung attenuation on expiratory CT scan. Over the same follow-up interval, there was a modest reduction of 25.6 mL/year in FEV1 coupled with a significant increase in %RV. Pulmonary function test metrics, reflective of small airway disease, exhibited a continual decline; specifically, %FEF50%, %FEF75%, and %FEF25–75% diminished from 7.9% to 7.0%, 5.7% to 4.6%, and 6.8% to 5.4%, respectively.ConclusionsThis case highlighted an instance of autosomal dominant cutis laxa arising from a frameshift variant in exon 30 of ELN, accompanied by small airway disease. Comprehensive investigation, utilizing quantitative CT analysis, revealed a longitudinal increase in fSAD percentage with a mild reduction in FEV1. These findings indicate that elastin deficiency may not only diminish elastic fibers in the skin but also be implicated in small airway disease by impacting components of the extracellular matrix in the lungs.

Tumour-pleura relationship on computed tomography (CT) provides effective risk stratification for peripheral pulmonary nodules with Lung Imaging Reporting and Data System (Lung-RADS) score of 4X.

Pulmonary nodules with Lung Imaging Reporting and Data System (Lung-RADS) 4X are of greater clinical significance, and accurate differentiation of pathological types and visceral pleural invasion (VPI) of Lung-RADS 4X peripheral pulmonary nodules before treatment can aid in stratification. This study set out to investigate whether the tumour-pleura relationship on computed tomography (CT) can provide effective risk stratification for peripheral pulmonary nodules with Lung-RADS 4X. This was a single institution, retrospective study of 482 consecutive patients with Lung-RADS score 4X, who were pathologically diagnosed with tuberculous granuloma and adenocarcinoma from January 2019 to December 2023. We assessed clinical factors (baseline characteristics and tumour markers) and CT findings. Univariate and multivariate logistic regression analyses were used to determine the classification of pulmonary nodules and predictors of VPI. Multivariate analysis revealed that gender [odds ratio (OR) =0.392; P<0.001], carcinoembryonic antigen (CEA) level (OR =8.331; P<0.001), type of nodules (OR =13.551 and 7.478; P<0.001 and P=0.016) and maximum base width of soft tissue component on the pleura side (OR =0.857; P=0.005) were significant independent factors for distinguishing tuberculous granuloma from adenocarcinoma. And the type of linear connection between lesion and pleura (OR =3.936; P<0.001), and the maximum base width of soft tissue components on the pleura side (OR =1.359; P=0.001) were correlated independently with VPI. The area under the curve (AUC) for predicting pulmonary nodules classification was 82.60% [95% confidence interval (CI): 78.85-86.35%), and the AUC for predicting VPI was 76.10% (95% CI: 69.83-82.38%). The tumour-pleura relationship will be helpful in further risk stratification for peripheral pulmonary nodules with a score of Lung-RADS 4X.

Utilization of computed tomography for extremity cellulitis: a retrospective single-center analysis

PurposeRoutine imaging of soft tissue infection is not recommended and represents a potential area of computed tomography (CT) overuse. The utility of CT in patients with superficial soft tissue infection of the extremities is unknown. The purpose of this study is to evaluate the utilization and clinical impact of CT ordered in the setting of extremity cellulitis. MethodsWe retrospectively analyzed patients with extremity cellulitis examined with CT between 2012-2021 at a single center. We collected patient history, diagnostic imaging characteristics, and subsequent surgery decision. We hypothesized that yield of CT for deep infection was significantly lower than 10% and that yield was decreasing over time. These hypotheses were evaluated with Rao-Scott Chi-Square tests and repeated measures logistic regression. ResultsThere were 496 eligible encounters among 463 patients. Yield of positive CT among lower extremity patients was 5.5% (95%CI 3.33-7.75), significantly less than our hypothesis of 10% (p=0.003). In 71.8% of encounters, patients underwent diagnostic imaging studies in addition to CT. Utilization rose from 0.08% per hospital visit in 2012-2013 to 0.14% in 2020-2021, with differences in yield between time periods not reaching statistical significance (p=0.059). Among 496 encounters, 62 received surgery (12.1%), with 21 of these cases preceded by a positive CT for deep infection. ConclusionsOur 10-year single-center analysis of CT use for extremity cellulitis demonstrated a low yield of positive CT findings for deep infection and limited impact of CT on surgical management. A high incidence of patients undergoing multiple radiologic exams suggests uncertainty in selecting appropriate imaging modalities in this clinical scenario.

Risk Factors for Locoregional Relapse After Segmentectomy: Supplementary Analysis of the JCOG0802/WJOG4607L Trial

IntroductionThe JCOG0802/WJOG4607L trial revealed superior overall survival in segmentectomy compared with lobectomy for small-peripheral NSCLC. Nevertheless, locoregional relapse (LR) is a major issue for segmentectomy. An ad hoc supplementary analysis aimed to determine the risk factors for LR and the degree of advantages of segmentectomy on the basis of primary tumor sites. MethodsParticipants in multi-institutional and intergroup, open-label, phase 3 randomized controlled trial in Japan were enrolled from August 10, 2009, to October 21, 2014. Risk factors for LR after segmentectomy and clinical features following the primary tumor site were investigated. ResultsOf 1105 patients, 576 and 529 underwent lobectomy and segmentectomy, respectively. The primary tumor site for segmentectomy was the left upper division, left lingular segment, left S6, left basal segment, right upper lobe, right S6, or right basal segment. Multivariable analysis in the segmentectomy group revealed that pure-solid appearance on thin-section computed tomography (OR = 3.230; 95% confidence interval [CI]: 1.559–6.690; p = 0.0016), margin distance less than the tumor size (OR = 2.682; 95% CI: 1.350–5.331; p = 0.0049), and male sex (OR = 2.089; 95% CI: 1.047–4.169; p = 0.0366) were significantly associated with LR. Patients with left lingular segment tumors (OR = 4.815; 95% CI: 1.580–14.672) tended to experience LR more frequently than those with left upper division tumors, although primary tumor sites were not statistically significant. ConclusionsThin-section computed tomography findings and margin distance are important factors to avoid LR in segmentectomy.

Efficacy of automated machine learning models and feature engineering for diagnosis of equivocal appendicitis using clinical and computed tomography findings

This study evaluates the diagnostic efficacy of automated machine learning (AutoGluon) with automated feature engineering and selection (autofeat), focusing on clinical manifestations, and a model integrating both clinical manifestations and CT findings in adult patients with ambiguous computed tomography (CT) results for acute appendicitis (AA). This evaluation was compared with conventional single machine learning models such as logistic regression(LR) and established scoring systems such as the Adult Appendicitis Score(AAS) to address the gap in diagnostic approaches for uncertain AA cases. In this retrospective analysis of 303 adult patients with indeterminate CT findings, the cohort was divided into appendicitis (n = 115) and non-appendicitis (n = 188) groups. AutoGluon and autofeat were used for AA prediction. The AutoGluon-clinical model relied solely on clinical data, whereas the AutoGluon-clinical-CT model included both clinical and CT data. The area under the receiver operating characteristic curve (AUROC) and other metrics for the test dataset, namely accuracy, sensitivity, specificity, PPV, NPV, and F1 score, were used to compare AutoGluon models with single machine learning models and the AAS. The single ML models in this study were LR, LASSO regression, ridge regression, support vector machine, decision tree, random forest, and extreme gradient boosting. Feature importance values were extracted using the “feature_importance” attribute from AutoGluon. The AutoGluon-clinical model demonstrated an AUROC of 0.785 (95% CI 0.691–0.890), and the ridge regression model with only clinical data revealed an AUROC of 0.755 (95% CI 0.649–0.861). The AutoGluon-clinical-CT model (AUROC 0.886 with 95% CI 0.820–0.951) performed better than the ridge model using clinical and CT data (AUROC 0.852 with 95% CI 0.774–0.930, p = 0.029). A new feature, exp(-(duration from pain to CT)3 + rebound tenderness), was identified (importance = 0.049, p = 0.001). AutoML (AutoGluon) and autoFE (autofeat) enhanced the diagnosis of uncertain AA cases, particularly when combining CT and clinical findings. This study suggests the potential of integrating AutoML and autoFE in clinical settings to improve diagnostic strategies and patient outcomes and make more efficient use of healthcare resources. Moreover, this research supports further exploration of machine learning in diagnostic processes.