National Healthcare Quality and Disparities Report
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AHRQ Research Studies
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Research Studies is a compilation of published research articles funded by AHRQ or authored by AHRQ researchers.
Results
1 to 25 of 100 Research Studies DisplayedGyftopoulos S, Simon E, Swartz JL
Efficacy and impact of a multimodal intervention on CT pulmonary angiography ordering behavior in the emergency department.
The objective of this study was to evaluate the efficacy of a multimodal intervention to reduce overutilization of computed tomography pulmonary angiography (CTPA) for suspected pulmonary embolism in the emergency department. Results indicated that guideline concordance increased significantly after intervention. The authors concluded that their success in increasing guideline concordance demonstrated the efficacy of a mixed-methods, human-centered approach to behavior change; however, given that neither of the secondary outcomes improved, the results may demonstrate potential limitations to the guidelines directing the ordering of CTPA studies.
AHRQ-funded; HS024376.
Citation: Gyftopoulos S, Simon E, Swartz JL .
Efficacy and impact of a multimodal intervention on CT pulmonary angiography ordering behavior in the emergency department.
J Am Coll Radiol 2024 Feb; 21(2):309-18. doi: 10.1016/j.jacr.2023.02.033.
Keywords: Emergency Department, Respiratory Conditions, Imaging, Diagnostic Safety and Quality, Blood Clots
Petragallo R, Bertram P, Halvorsen P
Development and multi-institutional validation of a convolutional neural network to detect vertebral body mis-alignments in 2D x-ray setup images.
In image-guided radiotherapy (IGRT), lack of correct alignment to the vertebral body continues to be a rare but serious risk to patient safety. The researchers propose that an automated image-review algorithm be included in the IGRT process as an interlock to detect off-by-one vertebral body errors. The purpose of this study was to describe the development and validation of a convolutional neural network (CNN)-based approach for an automated image-review algorithm using patient image data from a planar stereoscopic x-ray IGRT system. The researchers collected X-rays and digitally reconstructed radiographs (DRRs) from 429 spine radiotherapy patients treated using a stereoscopic x-ray image guidance system. True-negative, "no-error" cases were established using clinically-applied, physician approved alignments. "Off-by-one vertebral body" errors were simulated by translating DRRs along the spinal column using a semi-automated method. A leave-one-institution-out method was utilized to estimate the accuracy of the model on data from unseen institutions as follows: every image from five of the institutions was used to train a CNN model from scratch. The size of the resulting training set ranged from 5700 to 9372 images, and was dependent on which five institutions had contributed data. The training set was randomized and split using a 75/25 split into the final training/ validation sets. X-ray/ DRR image pairs and the related labels of "no-error" or "shift" were used as the model input. Accuracy of the model was assessed utilizing images from the sixth institution, which was omitted from the training phase. This test set ranged from 180 to 3852 images, again depending on which institution had been left out of the training phase. The trained model was utilized to categorize the images from the test set as either "no-error" or "shifted", and the model predictions were compared to the ground truth labels to evaluate model accuracy. This process was repeated until the images of each institution had been utilized as the testing dataset. The study found that when the six models were utilized to categorize unseen image pairs from the institution omitted during training, the resulting receiver operating characteristic area under the curve values ranged from 0.976 to 0.998.
AHRQ-funded; HS026486.
Citation: Petragallo R, Bertram P, Halvorsen P .
Development and multi-institutional validation of a convolutional neural network to detect vertebral body mis-alignments in 2D x-ray setup images.
Med Phys 2023 May; 50(5):2662-71. doi: 10.1002/mp.16359..
Keywords: Imaging, Patient Safety, Diagnostic Safety and Quality
Le P, Payne JY, Zhang L
Disease state transition probabilities across the spectrum of NAFLD: a systematic review and meta-analysis of paired biopsy or imaging studies.
This paper is a meta-analysis that summarized the rates of progression to and regression of nonalcoholic fatty liver (NAFL), nonalcoholic steatohepatitis (NASH), and fibrosis in adults with nonalcoholic fatty liver disease (NAFLD). PubMed/MEDLINE and 4 other databases were searched from 1985 to 2020. The authors included observational studies and randomized controlled trials in any language that used liver biopsy or imaging to diagnose NAFLD in adults with a follow-up period of ≥48 weeks. They screened 9744 articles and included 54 studies involving 26,738 patients. Among observational studies, 20% of healthy adults developed NAFL while 21% of people with fatty liver had resolution of NAFL after a median of approximately 4.5 years. In addition, 31% of patients developed NASH after 4.7 years, whereas in 29% of those with NASH, resolution occurred after a median of 3.5 years. Fibrosis stages range from F0 to F3, and time to progression by 1 fibrosis stage was 9.9, 10.3, 13.3, and 22.2 years for F0, F1, F2, and F3, respectively. In reverse, time to regress by 1 stage was 21.3, 12.5, 20.4, and 40.0 years for F4, F3, F2, and F1, respectively.
AHRQ-funded; HS026937.
Citation: Le P, Payne JY, Zhang L .
Disease state transition probabilities across the spectrum of NAFLD: a systematic review and meta-analysis of paired biopsy or imaging studies.
Clin Gastroenterol Hepatol 2023 May; 21(5):1154-68. doi: 10.1016/j.cgh.2022.07.033..
Keywords: Imaging, Diagnostic Safety and Quality
Ho TH, Bissell MCS, Lee CI
Prioritizing screening mammograms for immediate interpretation and diagnostic evaluation on the basis of risk for recall.
The purpose of this study was to establish a prioritization method for immediate interpretation of screening mammograms and potential diagnostic assessment. A cohort based on the population, comprising screening mammograms conducted from 2012 to 2020 at 126 radiology centers from 7 Breast Cancer Surveillance Consortium registries, was examined. Classification trees were used to identify combinations of clinical history (age, BI-RADS density, time elapsed since the previous mammogram, history of false-positive recall or biopsy outcome), screening technique (digital mammography, digital breast tomosynthesis), and facility features (profit status, location, screening volume, practice type, academic affiliation) that grouped screening mammograms by recall rate, with ≥12/100 classified as high and ≥16/100 as very high. The efficiency ratio was calculated as the percentage of recalls divided by the percentage of mammograms. The research cohort consisted of 2,674,051 screening mammograms in 925,777 women, with 235,569 recalls. The study found that the primary predictor of recall was the time interval since the last mammogram, followed by age, history of false-positive recall, breast density, history of benign biopsy, and screening method. Recall rates were extremely high for baseline mammograms and high for women with ≥5 years since their previous mammogram. The 9.2% of mammograms in subgroups with very high and high recall rates represented 19.2% of recalls, yielding an efficiency ratio of 2.1 compared to a random strategy. Including women under 50 with dense breasts accounted for 20.3% of mammograms and 33.9% of recalls (efficiency ratio = 1.7). Findings incorporating facility-level characteristics were analogous.
AHRQ-funded; HS018366
Citation: Ho TH, Bissell MCS, Lee CI .
Prioritizing screening mammograms for immediate interpretation and diagnostic evaluation on the basis of risk for recall.
J Am Coll Radiol 2023 Mar;20(3):299-310. doi: 10.1016/j.jacr.2022.09.030.
Keywords: Cancer: Breast Cancer, Cancer, Screening, Imaging, Women, Prevention, Diagnostic Safety and Quality
Peng L, Luo G, Walker A
Evaluation of federated learning variations for COVID-19 diagnosis using chest radiographs from 42 US and European hospitals.
The goals of this study were to compare a single-site, COVID-19 computer diagnosis system that used the Federated Averaging (FedAvg) algorithm with 3-client Federated learning (FL) models, and to evaluate the performance of the four FL variations. Researchers leveraged a FL healthcare collaborative that included data from five US and European healthcare systems encompassing 42 hospitals. They concluded that FedAvg could significantly improve generalization of the model in comparison with other personalization FL algorithms--FedProx, FedBN, and FedAMP--but at the cost of poor internal validity.
AHRQ-funded; HS026379.
Citation: Peng L, Luo G, Walker A .
Evaluation of federated learning variations for COVID-19 diagnosis using chest radiographs from 42 US and European hospitals.
J Am Med Inform Assoc 2022 Dec 13;30(1):54-63. doi: 10.1093/jamia/ocac188..
Keywords: COVID-19, Diagnostic Safety and Quality, Imaging, Hospitals
Luximon DC, Ritter T, Fields E
Development and interinstitutional validation of an automatic vertebral-body misalignment error detector for cone-beam CT-guided radiotherapy.
The purpose of this study was to develop an automatic error detection algorithm that uses a three-branch convolutional neural network error detection model (EDM) to detect off-by-one vertebral-body misalignments using planning computed tomography (CT) images and setup CBCT images. The researchers collected algorithm training and test data from 480 patients undergoing radiotherapy treatment at two radiotherapy clinics. One model (EDM(1) ) was trained solely on data from institution 1. EDM(1) was further trained on a dataset from institution 2 to produce a fine-tuned model, EDM(2) . Another model, EDM(3), was trained using a training dataset composed of data from both institutions. The study found that when applied to the combined test set, EDM(1) , EDM(2) , and EDM(3) resulted in an area under curve of 99.5%, 99.4%, and 99.5%, respectively. EDM(1) achieved a sensitivity of 96% and 88% on Institution 1 and Institution 2 test set, respectively. EDM(2) obtained a sensitivity of 95% on each institution's test set. EDM(3) achieved a sensitivity of 95% and 88% on Institution 1 and Institution 2 test set, respectively. The researchers concluded that in CBCT-guided radiotherapy, the proposed algorithm demonstrated accuracy in identifying off-by-one vertebral-body misalignments that was sufficiently high enough to justify implementation in practice.
AHRQ-funded; HS026486.
Citation: Luximon DC, Ritter T, Fields E .
Development and interinstitutional validation of an automatic vertebral-body misalignment error detector for cone-beam CT-guided radiotherapy.
Med Phys 2022 Oct;49(10):6410-23. doi: 10.1002/mp.15927..
Keywords: Imaging, Diagnostic Safety and Quality, Medical Errors, Patient Safety
Odeh Couvertier V, Patterson Patterson, Zayas-Cabán G
Association between advanced image ordered in the emergency department on subsequent imaging for abdominal pain patients.
The purpose of this retrospective, observational study was to evaluate abdominal pain patients discharged from the ED to determine the association between advanced emergency department (ED) imaging on subsequent outpatient imaging and on revisits. The researchers utilized the electronic health records of Medicare patients who presented with a complaint of abdominal pain at a United States academic emergency department. The study found that participants who were not imaged at the ED had significantly higher adjusted odds of being imaged outside of the ED within 7, 14, and 28 days of being discharged, and had a significantly higher adjusted odds of returning to the study ED and visiting any ED within 30 days of being discharged. The study concluded that receiving abdominal imaging services in the ED was related with significantly lower imaging use after discharge.
AHRQ-funded; HS024558.
Citation: Odeh Couvertier V, Patterson Patterson, Zayas-Cabán G .
Association between advanced image ordered in the emergency department on subsequent imaging for abdominal pain patients.
Acad Emerg Med 2022 Sep;29(9):1078-83. doi: 10.1111/acem.14541..
Keywords: Imaging, Emergency Department, Diagnostic Safety and Quality, Hospital Readmissions
Williams JP, Nathanson R, LoPresti CM
Current use, training, and barriers in point-of-care ultrasound in hospital medicine: a national survey of VA hospitals.
This study aimed to characterize current point-of-care ultrasound (POCUS) use, training needs, and barriers to use among hospital medicine groups (HMGs). This prospective observation study looked at all Veterans Affairs (VA) medical centers from August 2019 to March 2020 using a web-based survey sent to all chiefs of HMGs. There was a 90% response rate from 117 HMGs. Procedural POCUS use decreased by 19% from 2015 to 2020 but increased for diagnostic use for cardiac (8%), pulmonary (7%), and abdominal (8%) applications. The most common barrier to POCUS use was lack of training (89%), with only 34% of HMGs having access to POCUS training. Access to ultrasound equipment was the least common barrier at 57%, however with the proportion of HMGs with ≥1 ultrasound machine increasing from 29% to 71% from 2015 to 2020. In 2020 an average of 3.6 ultrasound devices per HMG was available, and 45% were handheld devices.
AHRQ-funded; HS025979.
Citation: Williams JP, Nathanson R, LoPresti CM .
Current use, training, and barriers in point-of-care ultrasound in hospital medicine: a national survey of VA hospitals.
J Hosp Med 2022 Aug;17(8):601-08. doi: 10.1002/jhm.12911..
Keywords: Imaging, Training, Hospitals, Diagnostic Safety and Quality, Provider: Clinician
Sun J, Peng L, Li T
Performance of a chest radiograph AI diagnostic tool for COVID-19: a prospective observational study.
The purpose of this observational study was to evaluate the real-time performance of an interpretable artificial intelligence (AI) model to detect COVID-19 on chest radiographs. The researchers utilized 95,363 chest radiographs for model training, external validation, and real-time validation. There were 5,335 real-time predictions and a COVID-19 prevalence of 4.8%. The study found that participants positive for COVID-19 had higher COVID-19 diagnostic scores than participants negative for COVID-19. Real-time model performance remained the same during the 19 weeks of implementation. Model sensitivity was higher in men than in women, but model specificity was higher in women. Sensitivity was higher for Asian and Black participants compared with White participants. The COVID-19 AI diagnostic system had worse accuracy compared with radiologist predictions. The researchers concluded that AI tools underperform when compared with radiologist results.
AHRQ-funded; HS026379.
Citation: Sun J, Peng L, Li T .
Performance of a chest radiograph AI diagnostic tool for COVID-19: a prospective observational study.
Radiol Artif Intell 2022 Jul;4(4):e210217. doi: 10.1148/ryai.210217..
Keywords: COVID-19, Imaging, Diagnostic Safety and Quality, Health Information Technology (HIT)
Lacson R, Khorasani R, Fiumara K
Collaborative case review: a systems-based approach to patient safety event investigation and analysis.
The objectives of this study were to assess a system-based approach to event investigation and analysis--collaborative case reviews (CCRs)--and to measure impact of clinical specialty on strength of action items prescribed. The institutional review board-approved study describes the program, including a percentage of CCR from an institutional Electronic Safety Reporting System. Findings showed that an integrated multispecialty CCR co-led by the radiology department and an institutional patient safety program was associated with a higher proportion of CCR, stronger action items, and higher action item completion rate versus other hospital departments.
AHRQ-funded; HS024722.
Citation: Lacson R, Khorasani R, Fiumara K .
Collaborative case review: a systems-based approach to patient safety event investigation and analysis.
J Patient Saf 2022 Mar 1;18(2):e522-e27. doi: 10.1097/pts.0000000000000857..
Keywords: Patient Safety, Adverse Events, Diagnostic Safety and Quality, Imaging
Tice JA, Gard CC, Miglioretti DL
Comparing mammographic density assessed by digital breast tomosynthesis or digital mammography: the Breast Cancer Surveillance Consortium.
This study’s purpose was to assess the consistency of Breast Imaging Reporting and Data System (BI-RADS) breast density reporting comparing digital breast tomosynthesis (DBT) with digital mammography (DM) and to evaluate density as a breast cancer risk factor when assessed using DM versus DBT. A secondary analysis of data from the Breast Cancer Surveillance Consortium was used from 342,149 women aged 40-79 years who underwent at least two screening mammography examinations less than 36 months apart. There were no significant differences in breast density assessment in pairs consisting of one DM and one DBT examination (57,516 of 74,729 [77%]), two DM examinations (238,678 of 301,743 [79%]), and two DBT examinations (20,763 of 26,854). Results were similar when pair analysis was restricted to readings by the same radiologist. The breast cancer hazard ratios (HRs) for breast density were similar for DM and DBT. The HRs for density acquired using DM and DBT, respectively, were 0.55 and 0.37 for almost entirely fat, 1.47 and 1.36 for heterogeneously dense, and 1.72 and 2.05 for extremely dense breasts.
AHRQ-funded; HS018366.
Citation: Tice JA, Gard CC, Miglioretti DL .
Comparing mammographic density assessed by digital breast tomosynthesis or digital mammography: the Breast Cancer Surveillance Consortium.
Radiology 2022 Feb; 302(2):286-92. doi: 10.1148/radiol.2021204579..
Keywords: Cancer: Breast Cancer, Cancer, Women, Imaging, Screening, Diagnostic Safety and Quality
Patterson BW, Johnson J, Ward MD
Effect of a split-flow physician in triage model on abdominal CT ordering rate and yield.
The objective of this study was to compare the rate and clinical yield of computed tomography (CT) imaging between patients presenting with abdominal pain initially seen by a physician in triage (PIT) versus those seen only by physicians working in the main emergency department (ED). For patients with abdominal pain, the investigators found no significant differences in rates of CT ordering or CT yield for patients seen in a PIT vs. traditional models.
AHRQ-funded; HS024558.
Citation: Patterson BW, Johnson J, Ward MD .
Effect of a split-flow physician in triage model on abdominal CT ordering rate and yield.
Am J Emerg Med 2021 Aug;46:160-64. doi: 10.1016/j.ajem.2020.05.119..
Keywords: Imaging, Emergency Department, Practice Patterns, Diagnostic Safety and Quality
Ricci KB, Oslock WM, Ingraham AM
Importance of radiologists in optimizing outcomes for older Americans with acute abdomen.
Patients presenting with acute abdominal pain often undergo a computed tomography (CT) scan as part of their diagnostic workup. The authors of this study investigated the relationship between availability, timeliness, and interpretation of CT imaging and outcomes for life-threatening intra-abdominal diseases or "acute abdomen," in older Americans. The investigators concluded that delays obtaining results were associated with adverse outcomes in older patients with acute abdomen.
AHRQ-funded; HS022694.
Citation: Ricci KB, Oslock WM, Ingraham AM .
Importance of radiologists in optimizing outcomes for older Americans with acute abdomen.
J Surg Res 2021 May;261:361-68. doi: 10.1016/j.jss.2020.12.022..
Keywords: Elderly, Imaging, Diagnostic Safety and Quality
Desai S, Kapoor N, Hammer MM
RADAR: a closed-loop quality improvement initiative leveraging a safety net model for incidental pulmonary nodule management.
This study was conducted to assess whether patients with incidental pulmonary nodules (IPNs) received timely follow-up care after implementation of a quality improvement (QI) initiative between radiologists and primary care providers. A QI initiative, RADAR (Radiology Result Alert and Development of Automated Resolution), was implemented. Findings showed that the RADAR QI initiative was associated with increased timely IPN follow-up.
AHRQ-funded; HS024722.
Citation: Desai S, Kapoor N, Hammer MM .
RADAR: a closed-loop quality improvement initiative leveraging a safety net model for incidental pulmonary nodule management.
Jt Comm J Qual Patient Saf 2021 May;47(5):275-81. doi: 10.1016/j.jcjq.2020.12.006..
Keywords: Quality Improvement, Quality of Care, Diagnostic Safety and Quality, Imaging
Rauscher GH, Murphy AM, Qiu Q
The "sweet spot" revisited: optimal recall rates for cancer detection with 2D and 3D digital screening mammography in the Metro Chicago Breast Cancer Registry.
The authors examined the trade-offs for higher recall rates in terms of biopsy recommendations and cancer detection in mammography in a single large health care organization. 2D analog, 2D digital, and 3D digital mammography screenings among women 40-79 years old with cancer follow-up were examined. They found that the results of their investigation were in contrast to those of a recent study suggesting appropriateness of higher recall rates. They concluded that optimal cancer detection appeared to be in the recall rate range of 7-9% for both 2D digital mammography and 3D tomosynthesis.
AHRQ-funded; HS018366.
Citation: Rauscher GH, Murphy AM, Qiu Q .
The "sweet spot" revisited: optimal recall rates for cancer detection with 2D and 3D digital screening mammography in the Metro Chicago Breast Cancer Registry.
AJR Am J Roentgenol 2021 Apr;216(4):894-902. doi: 10.2214/ajr.19.22429.
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Keywords: Cancer: Breast Cancer, Cancer, Imaging, Screening, Diagnostic Safety and Quality, Women, Prevention
Schoenfeld EM, Poronsky KE, Westafer LM
Feasibility and efficacy of a decision aid for emergency department patients with suspected ureterolithiasis: protocol for an adaptive randomized controlled trial.
Both ultrasound and CT scan can be used for diagnosis of ureterolithiasis (or renal colic, the pain from an obstructing kidney stone), but the majority of patients receive a CT scan. Diagnostic pathways utilizing ultrasound have been shown to decrease radiation exposure to patients but are potentially less accurate. The investigators developed a decision aid to facilitate SDM in this scenario. The objective of this study was to determine the effects of this decision aid, as compared to usual care, on patient knowledge, radiation exposure, engagement, safety, and healthcare utilization.
AHRQ-funded; HS025701.
Citation: Schoenfeld EM, Poronsky KE, Westafer LM .
Feasibility and efficacy of a decision aid for emergency department patients with suspected ureterolithiasis: protocol for an adaptive randomized controlled trial.
Trials 2021 Mar 10;22(1):201. doi: 10.1186/s13063-021-05140-9..
Keywords: Emergency Department, Shared Decision Making, Kidney Disease and Health, Imaging, Diagnostic Safety and Quality
Fenton JJ, Jerant A, Franks P
Watchful waiting as a strategy to reduce low-value spinal imaging: study protocol for a randomized trial.
This paper describes the protocol that will be used for an upcoming randomized control trial to determine the effectiveness of teaching clinicians how to advise watchful waiting when patients request low-value spinal imaging for acute low back pain. The authors will recruit 8-10 primary care and urgent care clinics in Sacramento, California. The study will last 3-6 months and during this time clinicians in the intervention group with receive 3 visits with standardized patient instructors (SPIs) portraying patients with acute back pain. The SPIs will instruct clinicians in a 3-step model emphasizing trust, empathic communication, and negotiation of a watchful waiting approach. The primary outcome looked for will a decreased post-intervention rate of spinal imaging among actual patients with acute back pain compared to the rate of imaging during the baseline period. Secondary outcomes will include use of targeted communication techniques during a follow-up visit with an SP.
AHRQ-funded; HS026415.
Citation: Fenton JJ, Jerant A, Franks P .
Watchful waiting as a strategy to reduce low-value spinal imaging: study protocol for a randomized trial.
Trials 2021 Feb 27;22(1):167. doi: 10.1186/s13063-021-05106-x..
Keywords: Back Health and Pain, Pain, Chronic Conditions, Imaging, Diagnostic Safety and Quality, Clinician-Patient Communication, Communication
Lacson R, Cochon L, Ching PR
Integrity of clinical information in radiology reports documenting pulmonary nodules.
Researchers sought to quantify the integrity, measured as completeness and concordance with a thoracic radiologist, of documenting pulmonary nodule characteristics in CT reports, and to assess impact on making follow-up recommendations. Their retrospective cohort study was performed at an academic medical center and natural language processing was used on radiology reports of CT scans of chest, abdomen, or spine to assess presence of pulmonary nodules. They found that essential pulmonary nodule characteristics were under-reported, potentially impacting recommendations for pulmonary nodule follow-up. They concluded that the lack of documentation of pulmonary nodule characteristics in radiology reports was common, with the potential for compromising patient care and clinical decision support tools.
AHRQ-funded; HS024722.
Citation: Lacson R, Cochon L, Ching PR .
Integrity of clinical information in radiology reports documenting pulmonary nodules.
J Am Med Inform Assoc 2021 Jan 15;28(1):80-85. doi: 10.1093/jamia/ocaa209..
Keywords: Imaging, Diagnostic Safety and Quality, Electronic Health Records (EHRs), Health Information Technology (HIT), Patient Safety
Marin JR, Rodean J, Hall M
Racial and ethnic differences in emergency department diagnostic imaging at US children's hospitals, 2016-2019.
Researchers evaluated racial and ethnic differences in the performance of common ED imaging studies and examined patterns across diagnoses. In this study, which evaluated visits by nonhospitalized patients younger than 18 years in 44 US children's hospital EDs, they found that non-Hispanic Black and Hispanic children were less likely to receive diagnostic imaging during ED visits compared with non-Hispanic White children. They recommended further investigation to understand and mitigate these potential disparities in health care delivery and to evaluate the effect of these differential imaging patterns on patient outcomes.
AHRQ-funded; HS026006.
Citation: Marin JR, Rodean J, Hall M .
Racial and ethnic differences in emergency department diagnostic imaging at US children's hospitals, 2016-2019.
JAMA Netw Open 2021 Jan 4(1):e2033710. doi: 10.1001/jamanetworkopen.2020.33710..
Keywords: Children/Adolescents, Hospitals, Emergency Department, Imaging, Racial and Ethnic Minorities, Disparities, Diagnostic Safety and Quality
Fu Y, Ippolito JE, Ludwig DR
Technical note: automatic segmentation of CT images for ventral body composition analysis.
The authors developed a fully automatic body tissue decomposition procedure to segment three major compartments that are related to body composition analysis: subcutaneous adipose tissue, visceral adipose tissue, and muscle. They found that their proposed method enables fully automated quantification of three-dimensional ventral body composition metrics from computed tomography images.
Citation: Fu Y, Ippolito JE, Ludwig DR .
Technical note: automatic segmentation of CT images for ventral body composition analysis.
Med Phys 2020 Nov;47(11):5723-30. doi: 10.1002/mp.14465..
Keywords: Imaging, Diagnostic Safety and Quality
Thomas MA, Olick-Gibson J, Fu Y
Using prediction models to evaluate magnetic resonance image guided radiation therapy plans.
Comprehensive analysis of daily, online adaptive plan quality and safety in magnetic resonance imaging (MRI) guided radiation therapy is critical to its widespread use. In this study the investigators describe using prediction models to evaluate magnetic resonance image guided radiation therapy plans. Artificial neural network models developed with offline plans created after simulation were used to analyze and compare online plans that were adapted and reoptimized in real time prior to treatment.
AHRQ-funded; HS022888.
Citation: Thomas MA, Olick-Gibson J, Fu Y .
Using prediction models to evaluate magnetic resonance image guided radiation therapy plans.
Phys Imaging Radiat Oncol 2020 Oct 28;16:99-102. doi: 10.1016/j.phro.2020.10.002..
Keywords: Imaging, Diagnostic Safety and Quality
Haymart MR, Reyes-Gastelum D, Caoili E
The relationship between imaging and thyroid cancer diagnosis and survival.
Controversy exists over whether there has been a true increase in the occurrence of thyroid cancer or overdiagnosis secondary to imaging practices. Because cancer overdiagnosis is associated with detection of indolent disease, overdiagnosis can be associated with perceived improvement in survival. The investigators concluded that there was improved disease-specific survival in patients diagnosed with thyroid cancer after thyroid ultrasound as compared with after other imaging.
AHRQ-funded; HS024512.
Citation: Haymart MR, Reyes-Gastelum D, Caoili E .
The relationship between imaging and thyroid cancer diagnosis and survival.
Oncologist 2020 Sep;25(9):765-71. doi: 10.1634/theoncologist.2020-0159..
Keywords: Cancer, Imaging, Diagnostic Safety and Quality
Sprague BL, Miglioretti DL, Lee CI
New mammography screening performance metrics based on the entire screening episode.
Established mammography screening performance metrics use the initial screening mammography assessment because they were developed for radiologist performance auditing, yet these metrics are frequently used to inform health policy and screening decision making. The authors developed new performance metrics based on the final assessment that consider the entire screening episode, including diagnostic workup. They concluded that established screening performance metrics underestimated the interval cancer rate of a mammography screening episode, particularly for women with dense breasts or an elevated breast cancer risk.
AHRQ-funded; HS018366.
Citation: Sprague BL, Miglioretti DL, Lee CI .
New mammography screening performance metrics based on the entire screening episode.
Cancer 2020 Jul 15;126(14):3289-96. doi: 10.1002/cncr.32939..
Keywords: Screening, Diagnostic Safety and Quality, Cancer: Breast Cancer, Cancer, Prevention, Women, Provider Performance, Imaging
Lowry KP, Coley RY, Miglioretti DL
Screening performance of digital breast tomosynthesis vs digital mammography in community practice by patient age, screening round, and breast density.
The purpose of this study was to compare digital mammography (DM) vs digital breast tomosynthesis (DBT) performance by age, baseline vs subsequent screening round, and breast density category. Information was taken from screening examinations at participating Breast Cancer Surveillance Consortium facilities of 1.5 million women aged 40 to 79 with no prior history of breast cancer. Findings showed that improvements in recall and cancer detection rates with DBT were greatest on baseline mammograms. On subsequent screening mammograms, the benefits of DBT varied by age and breast density, and women with extremely dense breasts did not benefit from improved recall or cancer detection with DBT on subsequent screening rounds.
AHRQ-funded; HS018366.
Citation: Lowry KP, Coley RY, Miglioretti DL .
Screening performance of digital breast tomosynthesis vs digital mammography in community practice by patient age, screening round, and breast density.
JAMA Netw Open 2020 Jul;3(7):e2011792. doi: 10.1001/jamanetworkopen.2020.11792..
Keywords: Imaging, Screening, Cancer: Breast Cancer, Cancer, Women, Evidence-Based Practice, Comparative Effectiveness, Diagnostic Safety and Quality
Schoenfeld EM, Houghton C, Patel PM
Shared decision making in patients with suspected uncomplicated ureterolithiasis: a decision aid development study.
The objective of this study was to develop a decision aid (DA) to facilitate shared decision making (SDM) around whether to obtain computed tomography (CT) imaging in patients presenting to the emergency department (ED) with suspected uncomplicated ureterolithiasis. Using stakeholder engagement and qualitative inquiry, the investigators developed their evidence-based DA. They indicated that future research will test the efficacy of the DA in facilitating SDM.
AHRQ-funded; HS025701.
Citation: Schoenfeld EM, Houghton C, Patel PM .
Shared decision making in patients with suspected uncomplicated ureterolithiasis: a decision aid development study.
Acad Emerg Med 2020 Jul;27(7):554-65. doi: 10.1111/acem.13917..
Keywords: Shared Decision Making, Emergency Department, Imaging, Diagnostic Safety and Quality