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1.
Clin Gastroenterol Hepatol ; 21(3): 644-652.e2, 2023 03.
Article in English | MEDLINE | ID: mdl-35436626

ABSTRACT

BACKGROUND & AIMS: Follow-up of abdominal computed tomography (CT) and magnetic resonance imaging (MRI) findings suspicious for pancreatic cancer may be delayed if documentation is unclear. We evaluated whether standardized reporting and follow-up of imaging results reduced time to diagnosis of pancreatic cancer. METHODS: We used a quasi-experimental stepped-wedge cluster design to evaluate the effectiveness of newly implemented radiology reporting system. The system standardizes the reporting of CT and MRI reports using hashtags that classify pancreatic findings. The system also automates referral of patients with findings suspicious for pancreatic cancer to a multidisciplinary care team for rapid review and follow-up. The study examined 318,331 patients who underwent CT or MRI that included the abdomen from 2016 through 2019 who had not had an eligible CT or MRI in the preceding 24 months. We evaluated the association of the intervention with incidence of pancreatic cancer within 60 days and 120 days after imaging. RESULTS: Thirty-eight percent of patients received the intervention, and 1523 patients (0.48%) were diagnosed with pancreatic cancer. In multivariable analysis accounting for age, race/ethnicity, sex, Charlson comorbidity, history of cancer, diabetes, and 4-month calendar period, the intervention was associated with nearly 50% greater odds of diagnosing pancreatic cancer within 60 days (adjusted odds ratio, 1.47; 95% confidence interval, 1.05-2.06) and 120 days (adjusted odds ratio, 1.46; 95% confidence interval, 1.04-2.06). CONCLUSIONS: In this large quasi-experimental, community-based observational study, implementing standardized reporting of abdominal CT and MRI reports with clinical navigation was effective for increasing the detection and diagnosis of pancreatic cancer.


Subject(s)
Pancreatic Neoplasms , Radiology , Humans , Infant, Newborn , Pancreatic Neoplasms/diagnosis , Tomography, X-Ray Computed , Magnetic Resonance Imaging/methods , Abdomen , Pancreatic Neoplasms
3.
Skeletal Radiol ; 34(11): 691-701, 2005 Nov.
Article in English | MEDLINE | ID: mdl-16172860

ABSTRACT

Femoroacetabular impingement syndrome (FAI) is a pathologic entity which can lead to chronic symptoms of pain, reduced range of motion in flexion and internal rotation, and has been shown to correlate with degenerative arthritis of the hip. History, physical examination, and supportive radiographic findings such as evidence of articular cartilage damage, acetabular labral tearing, and early-onset degenerative changes can help physicians diagnose this entity. Several pathologic changes of the femur and acetabulum are known to predispose patients to develop FAI and recognition of these findings can ultimately lead to therapeutic interventions. The two basic mechanisms of impingement-cam impingement and pincer impingement-are based on the type of anatomic anomaly contributing to the impingement process. These changes can be found on conventional radiography, MR imaging, and CT examinations. However, the radiographic findings of this entity are not widely discussed and recognized by physicians. In this paper, we will introduce these risk factors, the proposed supportive imaging criteria, and the ultimate interventions that can help alleviate patients' symptoms.


Subject(s)
Acetabulum/diagnostic imaging , Femur Head/diagnostic imaging , Femur Neck/diagnostic imaging , Hip Joint/diagnostic imaging , Joint Diseases/diagnostic imaging , Acetabulum/pathology , Cumulative Trauma Disorders/diagnostic imaging , Cumulative Trauma Disorders/pathology , Femur Head/abnormalities , Femur Head/pathology , Femur Neck/abnormalities , Femur Neck/pathology , Hip Joint/pathology , Humans , Joint Diseases/pathology , Osteoarthritis, Hip/etiology , Radiography
4.
Emerg Radiol ; 11(4): 219-21, 2005 Jun.
Article in English | MEDLINE | ID: mdl-16133607

ABSTRACT

Rickets and the decreased ossification associated with it can give rise to abnormally low bone density and weakened osseous structures. Despite this association, rickets has rarely been associated with osteochondral defects, and the imaging findings of this association have not been previously described on magnetic resonance (MR) imaging. This case report presents an adolescent male with a clinical history of rickets and recent-onset knee pain that was determined to be caused by bilateral osteochondritis dissecans. Prompt recognition of osteochondritis dissecans is important, as this entity is a treatable cause of knee pain.


Subject(s)
Knee Joint , Osteochondritis Dissecans/diagnosis , Osteochondritis Dissecans/etiology , Rickets/complications , Child , Femur , Humans , Magnetic Resonance Imaging , Male
5.
Curr Probl Diagn Radiol ; 34(4): 143-59, 2005.
Article in English | MEDLINE | ID: mdl-16012485

ABSTRACT

Cystic masses of the knee comprise a diverse group of pathologic entities ranging from simple cysts to complications of underlying disease to tumors. Although their presentations may be similar, the appropriate treatment and patient management can differ greatly. In this article, we review radiographic and magnetic resonance imaging characteristics of both common and uncommon cystic masses of the knee.


Subject(s)
Cysts/diagnosis , Knee Joint/pathology , Magnetic Resonance Imaging/methods , Diagnosis, Differential , Humans , Knee/pathology
6.
J Digit Imaging ; 18(3): 203-8, 2005 Sep.
Article in English | MEDLINE | ID: mdl-15924273

ABSTRACT

The PACS implementation process is complicated requiring a tremendous amount of time, resources, and planning. The Department of Defense (DOD) has significant experience in developing and refining PACS acceptance testing (AT) protocols that assure contract compliance, clinical safety, and functionality. The DOD's AT experience under the initial Medical Diagnostic Imaging Support System contract led to the current Digital Imaging Network-Picture Archiving and Communications Systems (DIN-PACS) contract AT protocol. To identify the most common system and component deficiencies under the current DIN-PACS AT protocol, 14 tri-service sites were evaluated during 1998-2000. Sixteen system deficiency citations with 154 separate types of limitations were noted with problems involving the workstation, interfaces, and the Radiology Information System comprising more than 50% of the citations. Larger PACS deployments were associated with a higher number of deficiencies. The most commonly cited systems deficiencies were among the most expensive components of the PACS.


Subject(s)
Civil Defense , Radiology Information Systems , Computer Communication Networks , Database Management Systems , Efficiency, Organizational , Government Agencies , Hospitals, Military , Humans , Problem-Based Learning , Radiology Department, Hospital , Systems Integration , United States , User-Computer Interface
8.
J Digit Imaging ; 15(1): 43-53, 2002 Mar.
Article in English | MEDLINE | ID: mdl-12134214

ABSTRACT

Speech recognition (SR) in the radiology department setting is viewed as a method of decreasing overhead expenses by reducing or eliminating transcription services and improving care by reducing report turnaround times incurred by transcription backlogs. The purpose of this study was to show the ability to integrate off-the-shelf speech recognition software into a Hospital Information System in 3 types of military medical facilities using the Windows programming language Visual Basic 6.0 (Microsoft, Redmond, WA). Report turnaround times and costs were calculated for a medium-sized medical teaching facility, a medium-sized nonteaching facility, and a medical clinic. Results of speech recognition versus contract transcription services were assessed between July and December, 2000. In the teaching facility, 2042 reports were dictated on 2 computers equipped with the speech recognition program, saving a total of US dollars 3319 in transcription costs. Turnaround times were calculated for 4 first-year radiology residents in 4 imaging categories. Despite requiring 2 separate electronic signatures, we achieved an average reduction in turnaround time from 15.7 hours to 4.7 hours. In the nonteaching facility, 26600 reports were dictated with average turnaround time improving from 89 hours for transcription to 19 hours for speech recognition saving US dollars 45500 over the same 6 months. The medical clinic generated 5109 reports for a cost savings of US dollars 10650. Total cost to implement this speech recognition was approximately US dollars 3000 per workstation, mostly for hardware. It is possible to design and implement an affordable speech recognition system without a large-scale expensive commercial solution.


Subject(s)
Pattern Recognition, Automated , Radiology Information Systems/economics , Software/economics , User-Computer Interface , Cost-Benefit Analysis , Radiology Department, Hospital/economics , Speech
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