Diagnostic Accuracy in Detecting Fungal Infection with Ultra-Low-Dose Computed Tomography (ULD-CT) Using Filtered Back Projection (FBP) Technique in Immunocompromised Patients.

Purpose: To compare the accuracy of ultra-low-dose (uLDCT) to standard-of-care low-dose chest CT (LDCT) in the detection of fungal infection in immunocompromised (IC) patients. Method and Materials: One hundred IC patients had paired chest CT scans performed with LDCT followed by uLDCT. The images were independently reviewed by three chest radiologists who assessed the image quality (IQ), diagnostic confidence, and detection of major (macro nodules, halo sign, cavitation, consolidation) and minor (4-10 mm nodules, ground-glass opacity) criteria for fungal disease using a five-point Likert score. Discrepant findings were adjudicated by a fourth chest radiologist. Box-whisker plots were used to analyze IQ and diagnostic confidence. Inter-rater reliability was assessed using interclass correlation coefficients (ICCs). The statistical difference between LDCT and uLDCT results was assessed using Wilcoxon paired test. Results: Lung reconstructions had IQ and diagnostic confidence scores (mean ± std) of 4.52 ± 0.47 and 4.63 ± 0.51 for LDCT and 3.85 ± 0.77 and 4.01 ± 0.88 for uLDCT. The images were clinically acceptable except for uLDCT in obese patients (BMI ≥ 30 kg/m2), which had an IQ ranking from poor to excellent (scores 1 to 5). The accuracy in detecting major and minor radiological findings with uLDCT was 96% and 84% for all the patients. The inter-rater agreements were either moderate, good, or excellent, with ICC values of 0.51-0.96. There was no significant statistical difference between the uLDCT and LDCT ICC values (p = 0.25). The effective dose for uLDCT was one quarter that of LDCT (CTDIvol = 0.9 mGy vs. 3.7 mGy). Conclusions: Thoracic uLDCT, at a 75% dose reduction, can replace LDCT for the detection of fungal disease in IC patients with BMI < 30.0 kg/m2.

Core and Advanced Thoracic Imaging Curricula to Guide Residency and Fellowship Training: A Framework From the Canadian Society of Thoracic Radiology.

RATIONALE: A well-defined curriculum with goals and objectives is an inherent part of every radiology training program. MATERIALS AND METHODS: Following a needs assessment, the Canadian Society of Thoracic Radiology Education Committee developed a thoracic imaging curriculum using a mixed- method approach, complimentary to the cardiac curriculum published as a separate document. RESULTS: The Thoracic Imaging Curriculum consists of two separate yet complimentary parts: a Core Curriculum, aimed at residents in-training, with the main goal of building a strong foundational knowledge, and an Advanced Curriculum, designed to build upon the core knowledge and guide a more in-depth subspecialty training. CONCLUSION: The curricular frameworks aim to enhance the educational experience of residents and fellows and provide an educational framework for clinical supervisors and residency and fellowship program directors. SUMMARY STATEMENT: The Canadian Society of Thoracic Radiology championed the creation of Cardiovascular and Thoracic Imaging curricula encompassing clinical knowledge and technical, communication, and decision-making skills with the goal of providing direction to a strong foundational knowledge for residents and to guide specialty training for fellowship programs.

National Core and Advanced Cardiac Imaging Curricula: A Framework From the Canadian Society of Thoracic Radiology Education Committee.

RATIONALE: Well-defined curriculum with goals and objectives is an inherent part of every radiology residency program. MATERIALS AND METHODS: Following a needs assessment, the Canadian Society of Thoracic Radiology education committee developed a cardiac imaging curriculum using a mixed method collaborative approach. RESULTS: The Cardiovascular Imaging Curricula consist each of two separate yet complimentary granular parts: a Core Curriculum, aimed at residents in-training, with the main goal of building a strong foundational knowledge and an Advanced Curriculum, designed to build upon the core knowledge and guide a more in-depth fellowship subspecialty training. CONCLUSION: The curricular frameworks aim to enhance the educational experience of trainees (residents and fellows) and provide an educational framework for clinical supervisors and residency and fellowship program directors. SUMMARY STATEMENT: The Canadian Society of Thoracic Radiology (CSTR) championed the creation of Cardiovascular and Thoracic Imaging curricula encompassing clinical knowledge and technical, communication, and decision-making skills with the goal of providing direction to a strong foundational knowledge for residents and to guide specialty training for fellowship programs.

Diagnostic Value of Connective Tissue Disease Related CT Signs in Usual Interstitial Pneumonia Pattern of Interstitial Lung Disease.

Purpose Usual interstitial pneumonia (UIP) pattern of interstitial lung disease (ILD) can have varied etiology, with connective tissue disease (CTD) being a common known cause. The anterior upper lobe (AUL) sign, exuberant honeycombing (EHC), and straight edge (SE) sign are recently described computed tomography (CT) signs in CTD-related UIP. We test the diagnostic value of these CT signs for CTD in patients with UIP and compare the incidence of these signs between CTD-related UIP and non-CTD-related UIP. We also evaluated the interobserver agreement in detection of these CT signs. Methods Retrospective study of all patients who had UIP pattern of ILD on CT thorax done from January 1, 2016 to January 31, 2019, was grouped into two: non-CTD-related UIP or CTD-related UIP. CT thorax was reviewed for the presence of these signs-AUL, SE, and EHC. The diagnostic values of these signs in diagnosing CTD-related UIP was assessed. For assessment of interobserver agreement, another radiologist reviewed a subset of 30 randomly selected cases and looked for the presence of these signs. Results Of the 156 patients included, 76 had CTD. The incidence of CT signs were significantly higher in CTD-related UIP. The specificities of AUL, EHC, and SE were 82.5, 75, and 85%, respectively. The EHC sign had highest sensitivity of 48.7%. Inclusion of more than one sign increased the specificity of diagnosis of CTD-related UIP; however, the sensitivity decreases. There was excellent interobserver agreement (0.81-0.87) for each of these signs. Conclusion The presence of SE, AUL, and EHC signs in cases with UIP pattern are specific imaging markers to diagnose underlying CTD; however, due to its low sensitivity, the absence of these signs cannot exclude the same. Because of its excellent interobserver agreement, these signs are reliable in the evaluation of CTD-related ILD.

Using Recurrent Neural Networks to Extract High-Quality Information From Lung Cancer Screening Computerized Tomography Reports for Inter-Radiologist Audit and Feedback Quality Improvement.

PURPOSE: Lung cancer screening programs generate a high volume of low-dose computed tomography (LDCT) reports that contain valuable information, typically in a free-text format. High-performance named-entity recognition (NER) models can extract relevant information from these reports automatically for inter-radiologist quality control. METHODS: Using LDCT report data from a longitudinal lung cancer screening program (8,305 reports; 3,124 participants; 2006-2019), we trained a rule-based model and two bidirectional long short-term memory (Bi-LSTM) NER neural network models to detect clinically relevant information from LDCT reports. Model performance was tested using F1 scores and compared with a published open-source radiology NER model (Stanza) in an independent evaluation set of 150 reports. The top performing model was applied to a data set of 6,948 reports for an inter-radiologist quality control assessment. RESULTS: The best performing model, a Bi-LSTM NER recurrent neural network model, had an overall F1 score of 0.950, which outperformed Stanza (F1 score = 0.872) and a rule-based NER model (F1 score = 0.809). Recall (sensitivity) for the best Bi-LSTM model ranged from 0.916 to 0.991 for different entity types; precision (positive predictive value) ranged from 0.892 to 0.997. Test performance remained stable across time periods. There was an average of a 2.86-fold difference in the number of identified entities between the most and the least detailed radiologists. CONCLUSION: We built an open-source Bi-LSTM NER model that outperformed other open-source or rule-based radiology NER models. This model can efficiently extract clinically relevant information from lung cancer screening computerized tomography reports with high accuracy, enabling efficient audit and feedback to improve quality of patient care.

Clinical Impact of Cardiac MRI T1 and T2 Parametric Mapping in Patients with Suspected Cardiomyopathy.

Background There are limited data on the incremental value of parametric mapping compared with core cardiac MRI protocols for suspected cardiomyopathy in routine clinical practice. Purpose To evaluate the impact of cardiac MRI T1 and T2 mapping in routine clinical practice with respect to diagnostic accuracy, reader diagnostic confidence, and downstream cardiac imaging utilization. Materials and Methods In this retrospective single-center study, consecutive clinical cardiac MRI scans obtained with and without T1 and T2 mapping for evaluation of suspected cardiomyopathy between January 2017 and October 2019 were evaluated. Diagnostic accuracy and reader diagnostic confidence were evaluated in a random subset. Downstream cardiac imaging utilization was analyzed in patients with a minimum of 1 year of clinical follow-up ending before January 2020. Results A total of 1876 patients (mean age, 51 years ± 17 [SD]; 1113 men) were evaluated. Of these, 751 (40%) underwent cardiac MRI with the core protocol and 1125 (60%) with the core protocol plus T1 and T2 mapping. In the mapping group, T1 and T2 were high in 280 (25%) and 47 patients (4%), respectively. In the subset evaluated for diagnostic utility (n = 450), the addition of T1 and T2 maps to the core protocol resulted in an improvement in reader diagnostic confidence in 174 patients (39%). Diagnostic sensitivity was higher with the core protocol plus mapping compared with the core protocol alone for myocarditis (89% [31 of 35 patients] vs 69% [24 of 35]; P = .008), Fabry disease (93% [13 of 14 patients] vs 50% [seven of 14]; P = .01), and amyloidosis (100% [16 of 16 patients] vs 63% [10 of 16]; P = .01). In the subset evaluated for downstream imaging utilization (n = 903), 47% of patients with mapping had at least one subsequent cardiac imaging test compared with 55% of patients without mapping (P = .01). Conclusion In patients with suspected cardiomyopathy, cardiac MRI with T1 and T2 mapping had high diagnostic utility and was associated with lower downstream cardiac imaging utilization. © RSNA, 2022 Online supplemental material is available for this article. See also the editorial by Jerosch-Herold and Coelho-Filho in this issue.

Predefined and data driven CT densitometric features predict critical illness and hospital length of stay in COVID-19 patients.

The aim of this study was to compare whole lung CT density histograms to predict critical illness outcome and hospital length of stay in a cohort of 80 COVID-19 patients. CT chest images on segmented lungs were retrospectively analyzed. Functional Principal Component Analysis (FPCA) was used to find the main modes of variations on CT density histograms. CT density features, the CT severity score, the COVID-GRAM score and the patient clinical data were assessed for predicting the patient outcome using logistic regression models and survival analysis. ROC analysis predictors of critically ill status: 87.5th percentile CT density (Q875)-AUC 0.88 95% CI (0.79 0.94), F1-CT-AUC 0.87 (0.77 0.93) Standard Deviation (SD-CT)-AUC 0.86 (0.73, 0.93). Multivariate models combining CT-density predictors and Neutrophil-Lymphocyte Ratio showed the highest accuracy. SD-CT, Q875 and F1 score were significant predictors of hospital length of stay (LOS) while controlling for hospital death using competing risks models. Moreover, two multivariate Fine-Gray regression models combining the clinical variables: age, NLR, Contrast CT factor with either Q875 or F1 CT-density predictors revealed significant effects for the prediction of LOS incidence in presence of a competing risk (death) and acceptable predictive performances (Bootstrapped C-index 0.74 [0.70 0.78]).

AUR-RRA Review: Logistics of Academic-Industry Partnerships in Artificial Intelligence.

The Radiology Research Alliance (RRA) of the Association of University Radiologists (AUR) convenes Task Forces to address current topics in radiology. In this article, the AUR-RRA Task Force on Academic-Industry Partnerships for Artificial Intelligence, considered issues of importance to academic radiology departments contemplating industry partnerships in artificial intelligence (AI) development, testing and evaluation. Our goal was to create a framework encompassing the domains of clinical, technical, regulatory, legal and financial considerations that impact the arrangement and success of such partnerships.

The Evolving Status of Fellowships and Mini-Fellowships in Diagnostic Radiology: A Survey of Program Directors and Chief Residents.

RATIONALE AND OBJECTIVES: Recent changes in radiology fellowships include musculoskeletal radiology adopting a match system, interventional radiology transitioning away from diagnostic radiology to offer direct-entry programs, and a common fellowship application timeline created by the Society for Chairs of Academic Radiology Departments (SCARD). The concept of mini-fellowships has also emerged with the elimination of the oral American Board of Radiology examinations that had been administered in the final year of residency training prior to 2014. This paper seeks to assess the opinions of fellowship program directors, residency program directors, and chief residents regarding these recent changes. MATERIALS AND METHODS: This is a cross-sectional study using a web-based survey posed to fellowship program directors, residency program directors, and chief residents in 2020. Questions sought to explore current attitudes toward the following topics: (1) a common fellowship application timeline; (2) a common fellowship match; and (3) the status of mini-fellowships in diagnostic radiology. In addition, the number of fellowship positions for each subspecialty was estimated using subspecialty society directories, Accreditation Council for Graduate Medical Education (ACGME) data, and individual program websites. RESULTS: Deidentified responses were collected electronically and aggregated. The three respondent groups preferred a common fellowship application timeline at rates of 67% among fellowship program directors, 80% residency program directors, and 74% residents. A common match system across all subspecialties was preferred at rates of 50% fellowship program directors, 74% residency program directors, and 26% chief residents. There was widespread reported compliance with the SCARD fellowship timeline policy. Subspecialty programs using the match system reported interviewing greater numbers of applicants per position. Fellowship directors and chief residents reported that the most common duration of mini-fellowship experiences was 2 to 3 months. CONCLUSION: There is a division between chief residents and program directors regarding the preference for a common radiology match. Adopting a radiology-wide fellowship match would increase the number of interviews required. The SCARD fellowship timeline policy has been successful, and there is support across stakeholders regarding the common timeline. Mini-fellowships are highly variable in length and structure.

Lessons Learned From the Effects of COVID-19 on the Training and Education Workflow of Radiology Residents-A Time for Reflection: Perspectives of Residency Program Directors and Residents in Canada.

PURPOSE: The coronavirus disease 2019 (COVID-19) pandemic has led to widespread changes in all health care settings including academic radiology departments. The purpose of this survey-based study was to investigate the impact of COVID-19 on radiology resident training and education workflow in Canada in terms of the nature, scale, and heterogeneity of the changes, preparedness and adaptation, and perceptions of the present and future of radiology training. METHODS: A 30-question web-based survey was sent to 17 radiology residency program directors across Canada. A separate 32-question survey was sent to 460 residents currently enrolled in a radiology residency in Canada. These surveys were open for 3 weeks. RESULTS: We received responses from 16 program directors and 80 residents (response rates 94.1% and 17.4%, respectively). Most respondents agreed that objectives were being met for knowledge and interpretation but less so for case volumes and technical skills. Less time was allotted for on-site activities (eg, readouts) with more time for off-site activities (eg, videoconferencing). Daytime rotations were at least partly cancelled. Most respondents felt these changes were met with enthusiasm by both faculty and residents. However, there were perceived challenges including lack of training on virtual platforms for delivery of teaching and decreased staff-resident interaction, with short- and long-term anxiety reported. CONCLUSIONS: The coronavirus disease 2019 has dramatically changed radiology resident training in Canada, with increased virtual learning at the expense of cancelled rotations and the resultant reduction in case volumes and staff-resident interaction. Although adopted with enthusiasm, these changes present substantial challenges and anxiety regarding the future of radiology resident education.

Effect of the 2017 European Guidelines on Reclassification of Severe Aortic Stenosis and Its Influence on Management Decisions for Initially Asymptomatic Aortic Stenosis.

BACKGROUND: The 2017 European Society of Cardiology guidelines for valvular heart disease included changes in the definition of severe aortic stenosis (AS). We wanted to evaluate its influence on management decisions in asymptomatic patients with moderate-severe AS. METHODS: We reclassified the AS severity of the participants of the PRIMID-AS study (Prognostic Importance of Microvascular Dysfunction in Asymptomatic Patients With AS), using the 2017 guidelines, determined their risk of reaching a clinical end point (valve replacement for symptoms, hospitalization, or cardiovascular death) and evaluated the prognostic value of aortic valve calcium score and biomarkers. Patients underwent echocardiography, cardiac magnetic resonance imaging, exercise tolerance testing, and biomarker assessment. RESULTS: Of the 174 participants, 45% (56/124) classified as severe AS were reclassified as moderate AS. This reclassified group was similar to the original moderate group in clinical characteristics, gradients, calcium scores, and remodeling parameters. There were 47 primary end points (41 valve replacement, 1 death, and 5 hospitalizations-1 chest pain, 2 dyspnea, 1 heart failure, and 1 syncope) over 368±156 days follow-up. The severe and reclassified groups had a higher risk compared with moderate group (adjusted hazard ratio 4.95 [2.02-12.13] and 2.78 [1.07-7.22], respectively), with the reclassified group demonstrating an intermediate risk. A mean pressure gradient ≥31 mm Hg had a 7× higher risk of the primary end point in the reclassified group. Aortic valve calcium score was more prognostic in females and low valve area but not after adjusting for gradients. NT-proBNP (N-terminal pro-brain-type natriuretic peptide) and myocardial perfusion reserve were associated with the primary end point but not after adjusting for positive exercise tolerance testing. Troponin was associated with cardiovascular death or unplanned hospitalizations. CONCLUSIONS: Reclassification of asymptomatic severe AS into moderate AS was common using the European Society of Cardiology 2017 guidelines. This group had an intermediate risk of reaching the primary end point. Exercise testing, multimodality imaging, and lower mean pressure gradient threshold of 31 mm Hg may improve risk stratification. Registration: URL: https://www.clinicaltrials.gov. Unique identifier: NCT01658345.

Diagnostic Performance of Abnormal Nulling on Cardiac Magnetic Resonance Imaging Look Locker Inversion Time Sequence in Differentiating Cardiac Amyloidosis Types.

PURPOSE: To evaluate the diagnostic utility of the Look Locker inversion time (TI) sequence on cardiac magnetic resonance imaging in patients with suspected cardiac amyloidosis and to evaluate whether there are differences in the nulling pattern between amyloid types. MATERIALS AND METHODS: A total of 144 patients with suspected cardiac amyloidosis who had undergone cardiac magnetic resonance imaging were included in this retrospective study. Sixty-four had cardiac amyloidosis (62.1±9.2 y, 70.3% male, 68.8% had light chain amyloid [AL], 18.8% had familial transthyretin amyloid caused by mutant genes [ATTRm], and 12.5% had wild-type transthyretin amyloid [ATTRwt]) and 80 did not have cardiac amyloidosis (61.3±13.3 y, 58.8% male). Time to myocardial and blood pool nulling on the Look Locker TI sequence was classified as normal if blood pool nulled before myocardium or abnormal if blood pool nulling was coincident with or after myocardial nulling. RESULTS: The nulling pattern was abnormal in 26 patients with cardiac amyloidosis compared with none of the patients without cardiac amyloidosis (40.6% vs. 0.0%, P<0.0001). Abnormal nulling had 40.6% sensitivity and 100% specificity for cardiac amyloidosis (area under the receiver operating characteristic curve: 0.703, 95% confidence interval: 0.642-0.764). All patients with cardiac amyloidosis with an abnormal nulling pattern demonstrated late gadolinium enhancement. Among patients with cardiac amyloidosis, there was no significant difference in abnormal nulling between AL, ATTRm, and ATTRwt amyloid types (31.8%, 58.3%, 62.5%, respectively, P=0.10). CONCLUSIONS: An abnormal nulling pattern on the Look Locker TI sequence is highly specific for cardiac amyloidosis when present. However, abnormal nulling is a late finding with low sensitivity and does not differentiate between amyloid types.

Aligning the Implicit Curriculum with the Explicit Curriculum in Radiology.

Physician education occurs through two mechanisms that operate in tandem: the explicit and the implicit curriculum. The explicit, or formal, curriculum is the official version that is usually taken as the one-and-only curriculum and which is detailed in official documentation; however, an implicit curriculum exists, comprised of subtle messaging about professional norms, values, and beliefs that are tacitly communicated through both positive and negative role modeling. Both contribute to the overall education of the medical student and physician-in-training. Despite its well-documented influence in medical education, much of the teachings of the implicit curriculum occurs in the shadows, unspoken and unarticulated, and outside the awareness of both teacher and student. As panel members of the The Implicit Curriculum in Radiology Task Force of the Association of University Radiologists-Radiology Research Alliance (AUR-RRA), we present a review of the implicit curriculum, exploring its origin and impact on medical education, and on the overall professional development of medical students, post-graduate medical trainees and practicing physicians. Strategies for recognizing and contending with the implicit curriculum in radiology training are discussed, with a special emphasis on opportunities to leverage its potential through positive role modeling.

New cardiac manifestation of IgG4-related disease: a case report.

(IgG4-RD) is a systemic fibro-inflammatory immune-mediated disease, which has been defined in the past few years. IgG4-RD affects various organs and leads to a variety of clinical manifestations. As it is a relatively newly defined entity, new manifestations are now being recognised and reported. We describe a case involving the cardiovascular system.

Lung Density Analysis Using Quantitative Chest CT for Early Prediction of Chronic Lung Allograft Dysfunction.

BACKGROUND: Chronic lung allograft dysfunction (CLAD) limits long-term survival after lung transplantation (LTx). Early detection or prediction of CLAD can lead to changes in patient management that, in turn, may improve prognosis. The purpose of this study was to investigate the utility of quantitative computed tomography (CT) lung density analysis in early prediction of CLAD. METHODS: This retrospective cohort was drawn from all consecutive adult, first LTxs performed between 2006 and 2011. Post-transplant monitoring included scheduled surveillance bronchoscopies with concurrent pulmonary-functions tests and low-dose chest CT. Quantitative density metrics (QDM) derived from CT scans obtained at the time of 10%-19% decline in forced expiratory volume in 1 second (FEV1) were evaluated: 114 bilateral LTx recipients (66 with CLAD and 48 stable) and 23 single LTx recipients (11 with CLAD, 12 stable) were included in the analysis. RESULTS: In both single and double LTx, at the time of 10%-19% drop in FEV1 from baseline, the QDM was higher in patients who developed CLAD within 3 years compared with those patients who remained stable for at least 3.5 years. The area under the receiver operating characteristic curve (AUC) was 0.89 for predicting CLAD in single LTx and 0.63 in bilateral LTx. A multipredictor AUC accounting for FEV1, QDM, presence of consolidation, and ground glass opacities increased the AUC to 0.74 in double LTx. CONCLUSIONS: QDM derived from a CT histogram at the time of early drop in FEV1 may allow prediction of CLAD in patients after single or double LTx.

CT-guided Microcoil Pulmonary Nodule Localization prior to Video-assisted Thoracoscopic Surgery: Diagnostic Utility and Recurrence-Free Survival.

Background CT-guided microcoil localization has been shown to reduce the need for thoracotomy or video-assisted thoracoscopic surgery (VATS) anatomic resection. However, only short-term follow-up after CT-guided microcoil localization and lung resection has been previously reported. Purpose To assess the diagnostic utility and recurrence-free survival over a minimum of 2 years following CT-guided microcoil localization and VATS. Materials and Methods Among 1950 VATS procedures performed in a single tertiary institution from October 2008 through April 2016, 124 consecutive patients with CT-guided microcoil localization were retrospectively evaluated. Patient demographics, nodule characteristics, and histopathologic findings were recorded. The primary end point was recurrence-free survival after 2 or more years of CT surveillance. Statistical analysis included Kaplan-Meier survival curves and Cox regression. Results In 124 patients (men, 35%; mean age, 65 years ± 12) with a nodule found at CT, microcoil localization and VATS resection were performed for a total of 126 nodules (mean size, 13 mm ± 6; mean distance to pleura, 20 mm ± 9). On presurgical CT evaluation, 42% (53 of 126) of nodules were solid, 33% (41 of 126) were ground glass, and 24% (30 of 126) were subsolid. VATS excisional biopsy altered cytopathologic diagnosis in 21% (five of 24) of patients with prior diagnostic premicrocoil CT-guided biopsy. At histopathologic examination, 17% (21 of 126) of the nodules were adenocarcinoma in situ, 17% (22 of 126) were minimally invasive adenocarcinoma, 30% (38 of 126) were invasive lung primary tumors, and 22% (28 of 126) were metastases. Among the 72 patients with malignancy at histopathologic examination and at least 2 years of CT surveillance, local recurrence occurred in 7% (five of 72), intrathoracic recurrence in 22% (16 of 72), and extrathoracic recurrence in 18% (13 of 72) after 2 or more years of CT surveillance. There was no recurrence for adenocarcinoma in situ, minimally invasive adenocarcinoma, or invasive lung tumors measuring less than 1 cm. After multivariable adjustment, nodule location at a distance greater than 10 mm from the pleura was an independent predictor of time to recurrence (hazard ratio, 2.9 [95% confidence interval: 1.1, 7.4]; P = .03). Conclusion CT-guided microcoil localization and video-assisted thoracoscopic surgical resection alter clinical management and were associated with excellent recurrence-free survival for superficial premalignant, minimally invasive, and small invasive lung tumors. © RSNA, 2019 Online supplemental material is available for this article.

Diagnostic accuracy of post-mortem CT with targeted coronary angiography versus autopsy for coroner-requested post-mortem investigations: a prospective, masked, comparison study.

BACKGROUND: England and Wales have one of the highest frequencies of autopsy in the world. Implementation of post-mortem CT (PMCT), enhanced with targeted coronary angiography (PMCTA), in adults to avoid invasive autopsy would have cultural, religious, and potential economic benefits. We aimed to assess the diagnostic accuracy of PMCTA as a first-line technique in post-mortem investigations. METHODS: In this single-centre (Leicester, UK), prospective, controlled study, we selected cases of natural and non-suspicious unnatural death referred to Her Majesty's (HM) Coroners. We excluded cases younger than 18 years, known to have had a transmittable disease, or who weighed more than 125 kg. Each case was assessed by PMCTA, followed by autopsy. Pathologists were masked to the PMCTA findings, unless a potential risk was shown. The primary endpoint was the accuracy of the cause of death diagnosis from PMCTA against a gold standard of autopsy findings, modified by PMCTA findings only if additional substantially incontrovertible findings were identified. FINDINGS: Between Jan 20, 2010, and Sept 13, 2012, we selected 241 cases, for which PMCTA was successful in 204 (85%). Seven cases were excluded from the analysis because of procedural unmasking or no autopsy data, as were 24 cases with a clear diagnosis of traumatic death before investigation; 210 cases were included. In 40 (19%) cases, predictable toxicology or histology testing accessible by PMCT informed the result. PMCTA provided a cause of death in 193 (92%) cases. A major discrepancy with the gold standard was noted in 12 (6%) cases identified by PMCTA, and in nine (5%) cases identified by autopsy (because of specific findings on PMCTA). The frequency of autopsy and PMCTA discrepancies were not significantly different (p=0·65 for major discrepancies and p=0·21 for minor discrepancies). Cause of death given by PMCTA did not overlook clinically significant trauma, occupational lung disease, or reportable disease, and did not significantly affect the overall population data for cause of death (p≥0·31). PMCTA was better at identifying trauma and haemorrhage (p=0·008), whereas autopsy was better at identifying pulmonary thromboembolism (p=0·004). INTERPRETATION: For most sudden natural adult deaths investigated by HM Coroners, PMCTA could be used to avoid invasive autopsy. The gold standard of post-mortem investigations should include both PMCT and invasive autopsy. FUNDING: National Institute for Health Research.