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Pediatric Radiology May 2021In this article the author examines ethical tensions inherent to balancing harms of false-negative and false-positive child abuse diagnoses, and he describes how such... (Review)
Review
In this article the author examines ethical tensions inherent to balancing harms of false-negative and false-positive child abuse diagnoses, and he describes how such tensions manifest in courtroom proceedings. Child abuse physicians, including pediatric radiologists, shoulder heavy responsibilities weighing the potential consequences of not diagnosing child abuse when it could have been diagnosed (false negatives) against the consequences of making the diagnosis when it has not occurred (false positives). These physicians, who practice under ethical obligations to serve children's best interests and protect them from harm, make daily practice decisions knowing that, on balance, abuse is substantially more underdiagnosed than over diagnosed. Legal justice advocates, however, emphasize that clinical decision-making around abuse is not disassociated from endemic injustices that unduly incriminate individuals from socioeconomically underprivileged populations. Some defense advocates charge that child abuse physicians are insufficiently sensitive to harms of erroneous diagnoses, and they have characterized these clinicians as frankly biased. To support their claims in court, defense advocates have enlisted likeminded physician witnesses whose credentials as experts flout professional standards and who provide consistently flawed testimony based upon deficiently peer-reviewed literature. This article concludes that, to help mitigate these unhealthy circumstances, child abuse physicians might build trust with criminal defense advocates by instituting measures to alleviate perceptions of biases and by more explicitly acknowledging the potential harms of erroneous diagnoses. Professional societies representing these physicians, such as the Society for Pediatric Radiology, could take concurrent measures to help better prepare their constituent clinicians for expert testimony and make them more available to testify.
Topics: Child; Child Abuse; Diagnostic Errors; Expert Testimony; Humans; Physicians; Radiology
PubMed: 33999247
DOI: 10.1007/s00247-020-04845-4 -
The Journal of Allergy and Clinical... Dec 2021Asthma diagnostic guidelines require procedures with aerosol-generating potential (aerosol-generating procedures [AGPs]) to guide decision making. Restricted access to...
BACKGROUND
Asthma diagnostic guidelines require procedures with aerosol-generating potential (aerosol-generating procedures [AGPs]) to guide decision making. Restricted access to AGPs poses significant challenges in primary care and resource-poor countries, further amplified during the coronavirus disease 2019 pandemic.
OBJECTIVE
To establish an approach to asthma diagnosis that does not require AGPs.
METHOD
Symptomatic yet untreated (beyond as-required bronchodilator use) adults with clinician-suspected asthma and maximum 10 pack year smoking history were recruited. Clinical history, physical examination, spirometry with bronchodilator reversibility, home peak flow monitoring, and bronchial challenges were performed, and fractional exhaled nitric oxide and serum eosinophils measured. Tests were then repeated following treatment with inhaled corticosteroids before an asthma diagnosis was confirmed or refuted by an expert panel.
RESULTS
A total of 65 adults (mean age, 34.8 ± 12.2 years) were recruited. Five were excluded as "unclassifiable," because of borderline results or missing data. Of the remainder, 36 were diagnosed with asthma and 24 were not. Using data from non-AGPs only (wheeze on auscultation and blood eosinophilia) and home peak flow variability, a "rule-in" diagnostic model provided comparable discriminative ability to the application of established guidelines. Clinical suspicion of asthma together with at least 1 positive non-AGP test result provided a sensitivity of 55%, specificity of 100%, positive predictive value of 100%, and negative predictive value of 60%. Application of this model reduced the need for spirometry-based tests by one-third.
CONCLUSIONS
The proposed diagnostic algorithm may be clinically useful in "ruling-in" asthma in adults when access to AGPs is limited. This algorithm is not suitable for those with low clinical probability, with a significant smoking history, or where alternative diagnoses are more likely. This pragmatic approach to asthma diagnosis merits prospective validation.
Topics: Adult; Aerosols; Asthma; Breath Tests; COVID-19; Fractional Exhaled Nitric Oxide Testing; Humans; Middle Aged; Nitric Oxide; SARS-CoV-2; Spirometry; Young Adult
PubMed: 34303020
DOI: 10.1016/j.jaip.2021.07.006 -
Medicina Oral, Patologia Oral Y Cirugia... Jul 2023Knowledge of oral mucosal lesions (OMLs) among dentists is relevant in diagnosing potentially malignant diseases and oral cancer at an early stage. The aim of this...
BACKGROUND
Knowledge of oral mucosal lesions (OMLs) among dentists is relevant in diagnosing potentially malignant diseases and oral cancer at an early stage. The aim of this survey was to explore dentists' knowledge about OMLs.
MATERIAL AND METHODS
Respondents to a web-based questionnaire, containing 11 clinical vignettes representing patients with various OMLs, provided a (differential) diagnosis and management for each. Information about demographics and clinical experience of the participants was acquired as well. Descriptive statistics were performed and T-tests were used to test for significant (p<0.05) differences in mean scores for correct diagnosis and management between subgroups based on demographic variables.
RESULTS
Forty-four of 500 invited dentists completed the questionnaire. For (potentially) malignant OMLs, the number of correct diagnoses ranged from 14 to 93%, whilst the number of correct management decisions ranged from 43 to 86%. For benign OMLs, the number of correct diagnoses and management decisions ranged from 32 to 100% and 9 to 48%, respectively. For 11 clinical vignettes, mean scores for correct diagnosis, correct management and correct diagnosis and management were respectively 7.2 (±1.8), 5.7 (±1.5), and 3.8 (±1.7).
CONCLUSIONS
The results show that dentists in the Netherlands do not have sufficient knowledge to accurately diagnose some OMLs and to select a correct management. This may result in over-referral of benign OMLs and under-referral for (potentially) malignant OMLs. Clinical guidelines, that include standardized criteria for referral, and continuing education, may improve dentists' ability to correctly diagnose and accurately manage OMLs.
Topics: Humans; Netherlands; Mouth Neoplasms; Referral and Consultation; Diagnosis, Differential; Dentists; Surveys and Questionnaires
PubMed: 36641742
DOI: 10.4317/medoral.25774 -
Otolaryngology--head and Neck Surgery :... Apr 2023Otitis media (OM) is a model disease for developing, validating, and implementing artificial intelligence (AI) techniques. We aim to review the state of the art... (Review)
Review
OBJECTIVE
Otitis media (OM) is a model disease for developing, validating, and implementing artificial intelligence (AI) techniques. We aim to review the state of the art applications of AI used to diagnose OM in pediatric and adult populations.
DATA SOURCES
Several comprehensive databases were searched to identify all articles that applied AI technologies to diagnose OM.
REVIEW METHODS
Relevant articles from January 2010 through May 2021 were identified by title and abstract. Articles were excluded if they did not discuss AI in conjunction with diagnosing OM. References of included studies and relevant review articles were cross-referenced to identify any additional studies.
CONCLUSION
Title and abstract screening resulted in full-text retrieval of 40 articles that met initial screening parameters. Of this total, secondary review articles (n = 7) and commentary-based articles (n = 2) were removed, as were articles that did not specifically discuss AI and OM diagnosis (n = 5), leaving 25 articles for review. Applications of AI technologies specific to diagnosing OM included machine learning and natural language processing (n = 23) and prototype approaches (n = 2).
IMPLICATIONS FOR PRACTICE
This review emphasizes the utility of AI techniques to automate and aid in diagnosing OM. Although these techniques are still in the development and testing stages, AI has the potential to improve the practice of otolaryngologists and primary care clinicians by increasing the efficiency and accuracy of diagnoses.
Topics: Adult; Humans; Child; Artificial Intelligence; Otitis Media; Machine Learning; Otolaryngologists
PubMed: 35290142
DOI: 10.1177/01945998221083502 -
Radiographics : a Review Publication of... Jun 2024With the approval of antifibrotic medications to treat patients with idiopathic pulmonary fibrosis and progressive pulmonary fibrosis, radiologists have an integral role... (Review)
Review
With the approval of antifibrotic medications to treat patients with idiopathic pulmonary fibrosis and progressive pulmonary fibrosis, radiologists have an integral role in diagnosing these entities and guiding treatment decisions. CT features of early pulmonary fibrosis include irregular thickening of interlobular septa, pleura, and intralobular linear structures, with subsequent progression to reticular abnormality, traction bronchiectasis or bronchiolectasis, and honeycombing. CT patterns of fibrotic lung disease can often be reliably classified on the basis of the CT features and distribution of the condition. Accurate identification of usual interstitial pneumonia (UIP) or probable UIP patterns by radiologists can obviate the need for a tissue sample-based diagnosis. Other entities that can appear as a UIP pattern must be excluded in multidisciplinary discussion before a diagnosis of idiopathic pulmonary fibrosis is made. Although the imaging findings of nonspecific interstitial pneumonia and fibrotic hypersensitivity pneumonitis can overlap with those of a radiologic UIP pattern, these entities can often be distinguished by paying careful attention to the radiologic signs. Diagnostic challenges may include misdiagnosis of fibrotic lung disease due to pitfalls such as airspace enlargement with fibrosis, paraseptal emphysema, recurrent aspiration, and postinfectious fibrosis. The radiologist also plays an important role in identifying complications of pulmonary fibrosis-pulmonary hypertension, acute exacerbation, infection, and lung cancer in particular. In cases in which there is uncertainty regarding the clinical and radiologic diagnoses, surgical biopsy is recommended, and a multidisciplinary discussion among clinicians, radiologists, and pathologists can be used to address diagnosis and management strategies. This review is intended to help radiologists diagnose and manage pulmonary fibrosis more accurately, ultimately aiding in the clinical management of affected patients. RSNA, 2024 Supplemental material is available for this article.
Topics: Humans; Tomography, X-Ray Computed; Pulmonary Fibrosis; Diagnosis, Differential; Idiopathic Pulmonary Fibrosis
PubMed: 38752767
DOI: 10.1148/rg.230165 -
Current Opinion in Ophthalmology Jul 2021This review will discuss the utility of high-resolution anterior segment optical coherence tomography (HR-OCT), in-vivo confocal microscopy (IVCM) and ultrasound... (Review)
Review
PURPOSE OF REVIEW
This review will discuss the utility of high-resolution anterior segment optical coherence tomography (HR-OCT), in-vivo confocal microscopy (IVCM) and ultrasound biomicroscopy (UBM) in characterizing and diagnosing various ocular surface tumors, namely ocular surface squamous neoplasia (OSSN), conjunctival lymphoma and conjunctival melanoma. The strengths and limitations of each imaging modality will be discussed along with the characteristics findings of each lesion on each imaging platform.
RECENT FINDINGS
HR-OCT can consistently be utilized in the clinic setting to distinguish between epithelial ocular surface tumors such as OSSN as compared with subepithelial tumors such as conjunctival lymphoma and conjunctival melanoma given their distinctive findings. IVCM can be used as an adjunct to HR-OCT to obtain cellular and surface characteristics, whereas UBM can be used to assess tumor depth and thickness for larger and highly pigmented lesions as well as to detect intraocular invasion.
SUMMARY
HR-OCT, IVCM and UBM are all helpful imaging modalities to diagnose and characterize various ocular surface tumors and can serve as valuable adjuncts to monitor treatment response and assess for recurrence ocular surface tumors.
Topics: Conjunctiva; Conjunctival Neoplasms; Diagnostic Imaging; Humans; Microscopy, Acoustic; Microscopy, Confocal; Tomography, Optical Coherence
PubMed: 33989235
DOI: 10.1097/ICU.0000000000000771 -
Journal of Voice : Official Journal of... Jul 2020To determine the consistency and accuracy of preoperative diagnosis in the voice clinic with intraoperative diagnosis and to suggest a standardized laryngeal examination... (Comparative Study)
Comparative Study
INTRODUCTION
To determine the consistency and accuracy of preoperative diagnosis in the voice clinic with intraoperative diagnosis and to suggest a standardized laryngeal examination protocol in the UK that is supported by evidence-based findings.
METHOD
From January 2011-September 2014, 164 patients were referred to the Multidisciplinary Team voice clinic and diagnosed with laryngeal pathology that required phonosurgery. The visualization (videostrobolaryngoscopy) in clinic was performed using either rigid laryngoscope or a video-naso-laryngoscope. Intraoperatively, laryngeal visualization and surgical procedure was conducted using Storz Aida HD system, 10-mm rigid laryngoscope 0° or 5-mm rigid laryngoscope 0°/30° and a Zeiss S7 microscope.
RESULTS
Of the 164 patients seen in the multidisciplinary voice clinic, 86 clinic diagnoses were confirmed intraoperatively (52.4%), 15 patients had the diagnosis confirmed intraoperatively with additional lesion found (9.1%). The clinic diagnosis changed intraoperatively in 63 cases (38.4%). 61 (37.2%) patients seen in the voice clinic were diagnosed with cyst, in 39.3% the diagnosis was confirmed intraoperatively with 5 cases (8.2%) having an additional diagnosis. Twenty (12.2%) patients were diagnosed with polyps, with 80% confirmation intraoperatively; 3 patients (10%) had an additional diagnosis.
CONCLUSION
Videolaryngostroboscopy imaging of the larynx provides an outpatient tool for accurately diagnosing more than 50% of laryngeal pathologies when interpreted by multidisciplinary voice clinicians. However direct laryngeal examination under general anesthesia remains the gold standard when obtaining accurate diagnoses of laryngeal pathology. Patients diagnosed with nonorganic voice disorders should be considered for direct laryngoscopy under general anesthetic should they fail to respond to conservative management.
Topics: Adolescent; Adult; Aged; Aged, 80 and over; Ambulatory Care; Child; Child, Preschool; Clinical Decision-Making; Diagnostic Errors; Female; Humans; Intraoperative Care; Laryngeal Diseases; Laryngoscopes; Laryngoscopy; London; Male; Middle Aged; Observer Variation; Operating Rooms; Predictive Value of Tests; Reproducibility of Results; Stroboscopy; Voice Disorders; Young Adult
PubMed: 30660339
DOI: 10.1016/j.jvoice.2018.12.016 -
BMC Neurology Nov 2021Primary orthostatic tremor (OT) is a rare movement disorder characterized by a 13-18 Hz leg tremor, which arises when standing and is relieved by walking/sitting....
BACKGROUND
Primary orthostatic tremor (OT) is a rare movement disorder characterized by a 13-18 Hz leg tremor, which arises when standing and is relieved by walking/sitting. Those affected generally do not fall, but experience fear of falling, lessened by ambulation. Because of its low amplitude, the tremor is not readily visible, and diagnosis requires confirmation with surface electromyography (sEMG). Recently, applications using the accelerometer feature of smartphones have been used to detect and quantify tremors, including OT, though the accuracy of smartphone accelerometry (SPA) in diagnosing OT is unknown.
METHODS
We completed SPA in consecutive adults (18+ years), who presented to our neurology clinic with either subjective leg shakiness upon standing or unsteadiness when standing that lessened with ambulation, which comprised 59 of 2578 patients. We assessed tremor using the StudyMyTremor application on an iPhone 6 s adhered with tape to the patient's tibialis anterior. Surface electromyography was completed on the same muscle. The primary outcome of this study was to determine SPA's sensitivity and specificity in detecting OT compared with surface electromyography.
RESULTS
Fifty-nine patients with the following diagnoses were included: OT (6), Parkinson's disease, Hereditary Spastic Paraplegia, orthostatic hypotension, essential tremor, spinal cerebellar ataxia, sensory ataxia and functional movement disorder. Smartphone accelerometry detected a 13-18 Hz tremor in 5 of 6 patients diagnosed with OT by sEMG with no false positives in other conditions, yielding a sensitivity of 83%, specificity of 100% in the cohort we studied.
CONCLUSIONS
Though a larger sample size is desirable, preliminary data suggest that smartphone accelerometry is an alternative to surface electromyography in diagnosing OT.
Topics: Accelerometry; Accidental Falls; Adult; Electromyography; Essential Tremor; Fear; Humans; Smartphone; Tremor
PubMed: 34809610
DOI: 10.1186/s12883-021-02486-0 -
BMC Oral Health Jun 2023Artificial intelligence (AI) has been introduced to interpret the panoramic radiographs (PRs). The aim of this study was to develop an AI framework to diagnose multiple...
BACKGROUND
Artificial intelligence (AI) has been introduced to interpret the panoramic radiographs (PRs). The aim of this study was to develop an AI framework to diagnose multiple dental diseases on PRs, and to initially evaluate its performance.
METHODS
The AI framework was developed based on 2 deep convolutional neural networks (CNNs), BDU-Net and nnU-Net. 1996 PRs were used for training. Diagnostic evaluation was performed on a separate evaluation dataset including 282 PRs. Sensitivity, specificity, Youden's index, the area under the curve (AUC), and diagnostic time were calculated. Dentists with 3 different levels of seniority (H: high, M: medium, L: low) diagnosed the same evaluation dataset independently. Mann-Whitney U test and Delong test were conducted for statistical analysis (ɑ=0.05).
RESULTS
Sensitivity, specificity, and Youden's index of the framework for diagnosing 5 diseases were 0.964, 0.996, 0.960 (impacted teeth), 0.953, 0.998, 0.951 (full crowns), 0.871, 0.999, 0.870 (residual roots), 0.885, 0.994, 0.879 (missing teeth), and 0.554, 0.990, 0.544 (caries), respectively. AUC of the framework for the diseases were 0.980 (95%CI: 0.976-0.983, impacted teeth), 0.975 (95%CI: 0.972-0.978, full crowns), and 0.935 (95%CI: 0.929-0.940, residual roots), 0.939 (95%CI: 0.934-0.944, missing teeth), and 0.772 (95%CI: 0.764-0.781, caries), respectively. AUC of the AI framework was comparable to that of all dentists in diagnosing residual roots (p > 0.05), and its AUC values were similar to (p > 0.05) or better than (p < 0.05) that of M-level dentists for diagnosing 5 diseases. But AUC of the framework was statistically lower than some of H-level dentists for diagnosing impacted teeth, missing teeth, and caries (p < 0.05). The mean diagnostic time of the framework was significantly shorter than that of all dentists (p < 0.001).
CONCLUSIONS
The AI framework based on BDU-Net and nnU-Net demonstrated high specificity on diagnosing impacted teeth, full crowns, missing teeth, residual roots, and caries with high efficiency. The clinical feasibility of AI framework was preliminary verified since its performance was similar to or even better than the dentists with 3-10 years of experience. However, the AI framework for caries diagnosis should be improved.
Topics: Humans; Radiography, Panoramic; Artificial Intelligence; Tooth, Impacted; Dental Caries; Tooth
PubMed: 37270488
DOI: 10.1186/s12903-023-03027-6 -
Journal of Minimally Invasive Gynecology Mar 2021To summarize and update our current knowledge regarding adenomyosis diagnosis, prevalence, and symptoms.
OBJECTIVE
To summarize and update our current knowledge regarding adenomyosis diagnosis, prevalence, and symptoms.
DATA SOURCES
Systematic review of PubMed between January 1972 and April 2020. Search strategy included: "adenomyosis [MeSH Terms] AND (endometriosis[MeSH Term OR prevalence study [MeSH Terms] OR dysmenorrhea[text word] OR prevalence[Text Word] OR young adults [Text Word] OR adolesce* [Text Word] OR symptoms[Text Word] OR imaging diagnosis [Text Word] OR pathology[Text Word].
METHODS OF STUDY SELECTION
Articles published in English that addressed adenomyosis and discussed prevalence, diagnosis, and symptoms were included. The included articles described pathology diagnosis, imaging, biopsy diagnosis, prevalence and age of onset, symptoms, and concomitant endometriosis.
TABULATION, INTEGRATION, AND RESULTS
Sixteen articles were included in the qualitative analysis. The studies are heterogeneous when diagnosing adenomyosis with differing criteria, protocols, and patient populations. The prevalence estimates range from 20% to 88.8% in women who are symptomatic (average 30%-35%), with most diagnosed between the ages of 32 years and 38 years. The correlation between imaging and pathology continues to evolve. As imaging advances, newer studies report that younger women who are symptomatic are being diagnosed with adenomyosis on the basis of both magnetic resonance imaging and/or transvaginal ultrasound. High rates of concomitant endometriosis create challenges when discerning the etiology of pelvic pain. Symptoms that are historically attributed to endometriosis may actually be caused by adenomyosis.
CONCLUSION
Adenomyosis remains a challenge to identify, assess, and research because of the lack of standardized diagnostic criteria, especially in women who wish to retain their uterus. As noninvasive diagnostics such as imaging and myometrial biopsies continue to improve, younger women with variable symptoms will likely create criteria for diagnosis with adenomyosis. The priority should be to create standardized histopathologic and imaging diagnoses to gain a deeper understanding of adenomyosis.
Topics: Adenomyosis; Female; Humans; Prevalence; Prognosis
PubMed: 33371949
DOI: 10.1016/j.jmig.2020.10.012