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Background: Incidentalomas, or unexpectedly identified masses, are frequently identified in diagnostic imaging studies. Incidentalomas may require timely follow-up care to determine if they are benign, disease-causing, or malignant lesions; however, many incidentalomas do not receive diagnostic workup. The most effective strategies to manage incidentalomas and optimal metrics for judging the efficacy of these strategies remain unclear.
Objective: To identify management strategies used to promote guideline-concordant follow-up for incidentalomas and commonly reported performance metrics associated with these strategies.
Data Sources: We searched peer-reviewed literature for incidentaloma management studies published between 2003 and 2020.
Data Extraction And Synthesis: Data extraction included anatomical location, imaging modality, clinical setting, management strategy characteristics, and metrics used to assess the management strategy. Eligible studies were analyzed qualitatively to describe strategies and metrics.
Results: In all, 15 studies met inclusion criteria. Four types of interventions designed to promote guideline-concordant follow-up care for incidentalomas were identified: (1) physical or verbal guideline reminders (n = 3); (2) electronic guideline references (n = 4); (3) enhanced radiology templates (n = 3); (4) restructured clinical and communication pathways (n = 5). Strategy efficacy was assessed by measuring rates of patients who received recommended follow-up care (n = 6) or had care recommendations documented in clinical records (n = 5). Few studies measured diagnostic outcomes associated with incidentalomas.
Conclusions: Most management strategies target changes in radiologists' behavior. Few studies address barriers to improving incidentaloma follow-up from interpretation to patient education of findings and care delivery. Hybrid effectiveness-implementation studies are needed to better address workflow barriers and rigorously evaluate care delivery outcomes.
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http://dx.doi.org/10.1016/j.jacr.2020.11.006 | DOI Listing |
J Assist Reprod Genet
September 2025
Department of Gynecology, Pingxiang Maternal and Child Health Hospital, PingXiang, Jiangxi, China.
Objective: This study aimed to identify key predictors of uterine fibroid (UF) recurrence following laparoscopic myomectomy (LM) in reproductive-age women and to construct a predictive nomogram to support individualized clinical decision-making.
Methods: This retrospective cohort study included 459 women who underwent LM. Recurrence of UFs and risk of recurrence were analyzed.
Bariatric surgery is an effective treatment for morbid obesity, but patient outcomes differ greatly because of a variety of phenotypes, comorbidities, and postoperative adherence. In bariatric care, artificial intelligence (AI) and machine learning (ML) are becoming revolutionary tools because traditional predictive models based on BMI and demographic variables are unable to account for these complexities. To put it simply, AI is a branch of computer science that enables machines to perform tasks that typically require human intelligence.
View Article and Find Full Text PDFJ Neurooncol
September 2025
Institute of Medical Biostatistics, Epidemiology, and Informatics (IMBEI), University Medical Center Mainz, Mainz, Germany.
Purpose: Patients diagnosed with high-grade gliomas (HGG) often experience substantial psychosocial dis-tress. However, due to neurological and neurocognitive deficits its assessment remains challenging, and needs remain unmet. We compared a novel face-to-face assessment during doctor-patient conversations with questionnaire-based screening.
View Article and Find Full Text PDFJ Gen Intern Med
September 2025
University of Colorado School of Medicine, 1890 N Revere Ct, Third Floor, Mail Stop F443, Aurora, CO, 80045, USA.
Background: The SHARE Approach Model and training curriculum was developed by the Agency for Healthcare Research and Quality (AHRQ) to teach clinicians practicing in diverse settings how to engage in more effective Shared Decision Making (SDM).
Objective: To determine the effectiveness of the SHARE Approach at improving SDM in practices located across Colorado, USA.
Design: A longitudinal study with pre- and post-intervention observations.
Eur J Pediatr
September 2025
Paediatric Pain and Palliative Care Service, Department of Women's and Children's Health, University Hospital of Padua, Padua, Italy.
Purpose: This study aimed to describe the structure, patient characteristics, and preliminary clinical outcomes of a dedicated interdisciplinary outpatient clinic for paediatric chronic and complex pain in Italy, with a focus on the feasibility of implementing a biopsychosocial care model.
Methods: We conducted a retrospective review of all patients referred to the Paediatric Specialised Pain Clinic of the University of Padua between January 2023 and May 2024. Data on demographics, clinical diagnoses, pain characteristics, treatments, and follow-up outcomes were collected.