Index CT-Based Scoring Systems in Operative Blunt Bowel and Mesenteric Injury Identification.

INTRODUCTION: Determining the need for surgical management of blunt bowel and mesenteric injury (BBMI) remains a clinical challenge. The Faget score and Bowel Injury Prediction Score (BIPS) have been suggested to address this issue. Their efficacy in determining the need for surgery was examined. METHODS: A retrospective review of all adult blunt trauma patients hospitalized at a level 1 trauma center between January 2009 and August 2019 who had small bowel, colon, and/or mesenteric injury was conducted. We further analyzed those who underwent preoperative computed tomography (CT) scanning at our institution. Final index CT reports were retrospectively reviewed to calculate the Faget and BIPS CT scores. All images were also independently reviewed by an attending radiologist to determine the BIPS CT score. RESULTS: During the study period, 14,897 blunt trauma patients were hospitalized, of which 91 had BBMI. Of these, 62 met inclusion criteria. Among patients previously identified as having BBMI in the registry, the retrospectively applied Faget score had a sensitivity of 39.1%, specificity of 81.2%, positive predictive value (PPV) of 85.7%, and negative predictive value (NPV) of 31.7% in identifying patients with operative BBMI. The retrospectively applied BIPS score had a sensitivity of 47.8%, specificity of 87.5%, PPV of 91.7%, and NPV of 36.8% in this cohort. When CT images were reviewed by an attending radiologist using the BIPS criteria, sensitivity was 56.5%, specificity 93.7%, PPV 96.3%, and NPV 42.8%. CONCLUSIONS: Existing BBMI scoring systems had limited sensitivity but excellent PPV in predicting the need for operative intervention for BBMI. Attending radiologist review of CT images using the BIPS scoring system demonstrated improved accuracy as opposed to retrospective application of the BIPS score to radiology reports.

COVID-view: Diagnosis of COVID-19 using Chest CT.

Significant work has been done towards deep learning (DL) models for automatic lung and lesion segmentation and classification of COVID-19 on chest CT data. However, comprehensive visualization systems focused on supporting the dual visual+DL diagnosis of COVID-19 are non-existent. We present COVID-view, a visualization application specially tailored for radiologists to diagnose COVID-19 from chest CT data. The system incorporates a complete pipeline of automatic lungs segmentation, localization/isolation of lung abnormalities, followed by visualization, visual and DL analysis, and measurement/quantification tools. Our system combines the traditional 2D workflow of radiologists with newer 2D and 3D visualization techniques with DL support for a more comprehensive diagnosis. COVID-view incorporates a novel DL model for classifying the patients into positive/negative COVID-19 cases, which acts as a reading aid for the radiologist using COVID-view and provides the attention heatmap as an explainable DL for the model output. We designed and evaluated COVID-view through suggestions, close feedback and conducting case studies of real-world patient data by expert radiologists who have substantial experience diagnosing chest CT scans for COVID-19, pulmonary embolism, and other forms of lung infections. We present requirements and task analysis for the diagnosis of COVID-19 that motivate our design choices and results in a practical system which is capable of handling real-world patient cases.

Pulmonary contusions in the elderly after blunt trauma: incidence and outcomes.

BACKGROUND: In the general population with blunt chest trauma, pulmonary contusions (PCs) are commonly identified. However, there is limited research in the elderly. We sought to evaluate the incidence and outcomes of PCs in elderly blunt trauma admissions. METHODS: We retrospectively reviewed the trauma registry at a level I trauma center for all blunt thoracic trauma patients aged ≥65 y, who were admitted between 2007 and 2015. The medical records of PC patients were reviewed. RESULTS: There were 956 admissions with blunt thoracic trauma; of which 778 had no pulmonary contusion (NO) and 178 had PC. The major mechanisms of injury were falls (58.7% NO, 39.3% PC, P <0.001) and motor vehicle crash/motor cycle crash (35.6% NO, 51.7% PC, P <0.001). Rib fractures were present in 79.8% of PC and 73.8% of NO patients, P = 0.1. PC patients more often had serious (AIS ≥3) head/neck (30.3% versus 20.6%, P <0.001), abdomen (12.4% versus 6.6%, P <0.001), and extremity injuries (20.8% versus 11.4%, P <0.001). Complication (46.1% PC versus 26.6% NO, P <0.001) and mortality (14.0% PC versus 6.2% NO, P = 0.0003) rates were higher in PC patients. On multivariate logistic regression analyses, PC presence was significantly associated with mechanical ventilation (odds ratio 2.5), intensive care unit admission (odds ratio 2.3), and mortality (odds ratio 1.9). CONCLUSIONS: Over 18.6% of elderly blunt thoracic trauma patients sustained PC, despite an often low energy mechanism of injury. The presence of a PC should prompt investigation for other serious intrathoracic and extrathoracic injuries. PC presence is associated with substantial morbidity and mortality.

Algorithmic approach to utilization of CT scans for detection of internal hernia in the gastric bypass patient.

BACKGROUND: While surgical exploration remains the gold standard for diagnosing internal hernia (IH) after certain bariatric surgeries, decisions for operative intervention are often based on computed tomography (CT) findings. OBJECTIVES: The aim of this study is to review our institutional experience and create an algorithm to approach patients presenting with abdominal pain and/or emesis after certain bariatric procedures. SETTINGS: University Hospital METHODS: Following institutional review board approval, a retrospective chart review of all patients presenting with obstruction symptoms after laparoscopic Roux-en-Y gastric bypass (LRYGB) was performed at 2 institutions from 2008 to 2013. Patients without CT scans or with incidental hernia defect findings were excluded. CT and intraoperative findings were compared via univariate statistical analysis. RESULTS: Fifty-two patients who underwent an operation for a suspected IH were identified. Of the 50 patients, 25 (50%) had IH at operation. Twenty-nine patients (58%) had positive CT scans read for IH and/or obstruction. Of these 29, 19 (66%) were found to have IH at operation and 10 (34%) underwent negative diagnostic laparoscopy. Of the 21 patients with negative CT scans, 6 (29%) had IH at operation versus 15 (71%) who were negative. The sensitivity of CT scan to detect an internal hernia is 76% with 95% confidence interval (CI) [53% to 90%] and specificity is 60% with 95% CI [39% to 78%]. Sensitivity increased to 96% with 95% CI [78% to 99.8%] when combining CT scans with neutrophilia findings. CONCLUSION: Positive CT scans are sensitive for IH but not specific. CT scans will not detect IH in 1:4 patients; despite negative findings, surgical exploration should remain the gold standard for patients with acute abdominal pain after LRYGB or biliopancreatic diversion when IH is a consideration.

Acute scrotum caused by sigmoid diverticulitis.

BACKGROUND: Abscesses are one of many complications of diverticulitis and can be found intra-abdominally or in the pelvis. METHODS: Case report and review of the pertinent English-language literature. RESULTS: We describe an unusual presentation of a diverticular abscess, tracking down the inguinal canal and causing acute scrotum possibly secondary to a hernia. CONCLUSION: A deviation from the usual clinical presentation of diverticulitis should prompt the physician to obtain further radiologic evaluation. Computed tomography scanning is recommended, especially when an abscess is suspected.

Staging tools for nonsmall cell lung cancer.

Accurate staging remains the cornerstone of initial managment of nonsmall cell lung cancer. CT offers the potential advantage of identifying early stage tumors when broadly applied as a screening tool, although studies that are evaluating the sensitivity, specificity, and impact on survival are ongoing. PET is a functional imaging tool with ever-broadening applications. New techniques, such as CT-PET fusion imaging, endoscopic ultrasound, virtual bronchoscopy, and three-dimensional volumetric reconstruction may further refine noninvasive diagnostic and staging options.