Citations

ABSTRACT One quarter of patients with diffuse large B‐cell lymphoma (DLBCL) who achieve a complete response following front‐line therapy will eventually experience disease relapse. Existing prognostic models use baseline factors to predict outcomes from the start of initial therapy and are not intended for use following completion of treatment. We developed a conditional event‐free survival (cEFS) tool that predicts a patient's risk of lymphoma recurrence after completing front‐line therapy taking into consideration baseline risk characteristics plus the time the patient has been in remission. Model development used pooled and harmonized data from two observational cohorts and four randomized trials of patients with newly diagnosed DLBCL treated with immunochemotherapy and either achieving a complete response or not experiencing an event within 12 weeks of end of therapy. Cox proportional‐hazards regression modeling with backwards stepwise selection was utilized for model development. External validation was performed using a large independent data registry. In total, data from 2757 patients were used for model development. The risk of experiencing an event at a time point after having survived a period of time could be computed parsimoniously using four basic predictors: age, ECOG performance status grade, Ann Arbor stage, and lactate dehydrogenase level. C‐index in the model development cohort was 0.65 (95% CI, 0.63–0.68), compared to 0.64 (95% CI, 0.62–0.66) in the external validation cohort. We believe that this dynamic risk prediction tool will not only aid clinicians in providing data‐driven recommendations for surveillance, but also assist patients themselves with key decisions, such as family planning.

Abstract Clinical medical physics is a profession that intersects with various groups as part of a broader healthcare team, including dosimetrists, radiation therapists, radiologic and MRI technologists, IT specialists, and physicians. Success in this field requires academic and technical excellence as well as comprehensive skills for working effectively within an interdisciplinary healthcare team. When hiring medical physics residents, the selection of well‐rounded and highly qualified candidates can be facilitated through a holistic review process that ensures consideration of traditional metrics such as academic performance while also accounting for the importance of various experiences, personal attributes, and intrinsic motivations that impact clinical performance and patient care. The Association of American Medical Colleges (AAMC) emphasizes an overall consideration of Experiences, Attributes, Competencies, and Metrics (EACM) as important for the search process. As part of the healthcare community, medical physics shares the same commitment to high‐quality patient care. By adopting the AAMC's EACM framework, medical physics residency programs can strengthen the fairness, rigor, and overall effectiveness of their application review processes—ultimately benefiting applicants, the medical physics community, and the patients we serve. This Society of Directors of Academic Medical Physics Programs (SDAMPP) task report aims to provide information and resources for applying holistic review to the applicant selection process for medical physics residency programs. Our objective is to enable program directors to reevaluate their selection methods in the context of institutional and program missions and goals and to improve the quality and specificity of recruitment by integrating holistic review concepts into their residency recruitment processes. This initiative can inspire change in recruitment practices, aid programs in hiring well‐rounded and well‐qualified residents, and support the professional growth of our trainees in healthcare. This report provides an overview of holistic reviews and its core principles. We review the current literature and provide evidence from successful implementations of holistic review in other medical fields to illustrate how it can benefit our field. Furthermore, we outline actionable recommendations to facilitate transitioning to a holistic review framework and address potential barriers with practical solutions. A supplemental workbook is provided to guide residency programs in developing their own holistic application review and interview processes. With this report, we aim to provide practical implementation guidelines that will allow residency program directors to implement a selection methodology that comprehensively assesses the full qualifications of individual candidates and ultimately fosters the development of versatile and competent clinical medical physicists who are best equipped to advance the field, meet patient needs, and improve patient care.

Purpose of review A substantial proportion of esophageal adenocarcinoma (EAC) and high-grade dysplasia (HGD) cases in Barrett's esophagus (BE) are diagnosed after a dysplasia-negative endoscopy before the next recommended surveillance interval. These are classified as postendoscopy esophageal carcinoma (PEEC) or postendoscopy esophageal neoplasia (PEEN) and represent critical failures of BE surveillance. This review summarizes current definitions, epidemiology, potential etiologies, and evolving strategies to reduce PEEC/PEEN and improve the quality of BE surveillance. Recent findings High-quality endoscopic examination using high-definition white-light endoscopy (HD-WLE) and virtual chromoendoscopy (CE), adherence to the Seattle biopsy protocol, adequate inspection time, and training in the recognition of visible lesions harboring prevalent dysplasia/EAC, are critical in reducing PEEC/PEEN. Initial data on the use of adjunctive tools (wide-area transepithelial sampling) and molecular biomarkers (p53, DNA methylation panels, and Tissue Systems Pathology tests) demonstrate promising results for detecting prevalent dysplasia and for reducing PEEC and PEEN. BE surveillance quality metrics, such as cancer and neoplasia detection rates, have been shown to be inversely associated with PEEN. Summary PEEC and PEEN reflect critical gaps in the effectiveness of BE surveillance. Improving the quality of endoscopic surveillance is essential, including meticulous mucosal inspection, appropriate use of advanced imaging techniques, and adherence to systematic biopsy protocols, to minimize missed neoplasia.

BACKGROUND: Although the prognostic utility of positron emission tomography (PET) myocardial flow reserve (MFR) is well established, emerging data suggest that reduced subendocardial flows also predict adverse outcomes. However, the incremental value of subendocardial MFR (MFR SE ) beyond transmural MFR (MFR TM ) remains unclear. METHODS: We studied patients in a multicenter PET registry with normal perfusion on stress/rest Rb-82 PET, excluding those with a previous history of coronary artery bypass surgery, heart transplantation, or left ventricular ejection fraction <40%. The optimal MFR SE cutoff for predicting major adverse cardiovascular events (MACEs; death, myocardial infarction [MI], revascularization, or heart failure [HF] hospitalization) was determined using Youden’s index. Patients were stratified into 3 groups: concordant-normal (MFR TM ≥2.0; MFR SE ≥2.1), discordant (low-MFR SE , normal MFR TM ), and abnormal MFR TM . Clinical outcomes were compared by MFR groups. RESULTS: Among 6603 patients (normal N=4103; discordant N=885; abnormal N=1615) the mean age was 66.3±12.4 years, and 54% were women. Compared with the concordant-normal group, patients with discordant low-MFR SE were older and more likely to have hypertension, diabetes, peripheral artery disease, and previous percutaneous coronary intervention. The median MFR TM for normal, discordant, and abnormal groups were 2.86, 2.15, and 1.72, respectively. Over a median follow-up of 4.9 years, 1661 MACE events occurred. Discordant low-MFR SE patients had a higher risk of MACE (hazard ratio [HR], 1.41; 95% CI, 1.22–1.64) and all-cause mortality (HR, 1.36; 95% CI, 1.14–1.61) compared with concordant-normal patients. The discordant group had an intermediate absolute risk of MACE, with an adjusted annualized event rate of 5.79% (95% CI, 5.10–6.49) compared with 3.99% (95% CI, 3.67–4.30; P <0.001) in the concordant-normal group and 8.35% (95% CI, 7.71–9.00; P <0.001) in the abnormal MFR TM group. CONCLUSIONS: Subendocardial MFR reveals clinically meaningful risk heterogeneity among patients with preserved transmural flow reserve, helping refine risk stratification beyond traditional PET metrics.

Background: Acetabular overcoverage (pincer morphology) has been suggested to be both a source of pain and dysfunction and potentially protective against osteoarthritic change. Purpose: To compare the minimum 5-year clinical outcomes of patients undergoing primary hip arthroscopic labral repair with a lateral center edge angle (LCEA) of ≥40° as compared with nondysplastic controls with an LCEA of 25° to 40°. Study Design: Cohort study; Level of evidence, 3. Methods: A retrospective review was performed to identify all patients who underwent primary hip arthroscopic labral repair between 2009 and 2019 at a single academic institution. Patients with an LCEA of ≥40° (pincer) were propensity-matched to nondysplastic controls with an LCEA of 25° to 40° on a 1-to-2 basis by sex, age, body mass index, and surgery year. Patient-reported outcome measures (PROMs)—including visual analog scale, Tegner activity score, modified Harris Hip Score, International Hip Outcome Tool (iHOT-12), and Hip Outcome Score were analyzed—as were reoperations and conversions to total hip arthroplasty (THA). Results: A total of 55 patients with pincer morphology (preoperative LCEA: 41.9°± 2.1°) were matched to 110 nondysplastic controls (LCEA: 31.2°± 4.1°), resulting in a total of 165 hips in 163 patients (67% women, mean age: 37.7 ± 9 years). Pincer patients were corrected to a mean postoperative LCEA of 38.7°± 4.1º ( P < .001), with 22 pincer patients having residual overcoverage; namely, a postoperative LCEA ≥40° (range, 40°-45.8°). There were no differences between cohorts regarding intraoperative characteristics—including femoral and acetabular Outerbridge grade—as well as capsulotomy type and the presence of capsular repair ( P ≥ .210). At a mean 8-year follow-up (range, 5.1-13.2), there was no difference in any postoperative PROMs between pincers and controls ( P ≥ .215) and no difference in PROMs between patients with residual overcoverage and pincer patients with a postoperatively normalized LCEA ( P ≥ .291). At final follow-up, 4 patients in the pincer cohort (7%) and 21 controls (19%) converted to THA ( P = .046). Conclusion: Patients with lateral acetabular overcoverage demonstrated similar and satisfactory postoperative PROMs at a minimum 5-year follow-up compared with propensity-matched nondysplastic controls, regardless of whether the LCEA was corrected to <40°. Of note, nondysplastic controls demonstrated a higher rate of conversion to THA, suggesting a potentially chondroprotective role for acetabular overcoverage.

ABSTRACT Pulmonary vein thrombosis (PVT) is an uncommon but potentially fatal condition that is often underdiagnosed due to nonspecific clinical presentation. We report a case of a 47‐year‐old woman with a thrombus in the right inferior pulmonary vein incidentally found during a robotic‐assisted bronchoscopy biopsy (RAB) and endobronchial ultrasound (EBUS) performed for mediastinal evaluation and lymph node sampling. PVT was confirmed with computed tomography pulmonary angiography, and the patient was successfully treated with anticoagulation therapy. A review of the literature revealed that reports of PVT detected via EBUS are exceedingly rare and usually malignant in nature. To our knowledge, this is the first peer‐reviewed case report describing PVT identified incidentally during EBUS, underscoring the potential of this technique to reveal clinically significant vascular abnormalities.

Post-transplant lymphoproliferative disorder (PTLD) involving the central nervous system (CNS) is a rare but serious life-threatening complication seen in recipients of solid organ transplant. Primary CNS encompasses 5–15% of all types of PTLD diagnoses, and heart transplant recipients represent 3–5% of those reported cases. Diagnosis is often delayed due to the highly variable presentation, with some cases remaining undiagnosed for years. Multidisciplinary collaboration is crucial for early diagnosis and management. A 53-year-old woman patient presented with altered mental status. MRI revealed nodular ventriculitis and bilateral periventricular hyperdense infiltrates. CSF studies demonstrated lymphocytic pleocytosis, elevated protein, and EBV-PCR-positive results. A stereotactic brain needle biopsy confirmed the presence of EBV-positive diffuse large B-cell lymphoma, consistent with primary CNS PTLD, 14 months after her heart transplant. Despite appropriate management, the patient experienced progressive neurological decline and ultimately suffered a fatal intracerebral hemorrhage. We demonstrate the importance of the early diagnosis and variable presentation of post-heart-transplant PTLD. The importance of surveillance regardless of EBV status and close monitoring of disease progression due to potential life-threatening complications, such as fatal hemorrhages. Therefore, primary CNS-PTLD remains a challenging disease and is being increasingly recognized with improved transplant recipient survival and prolonged exposure to chronic immunosuppression.

Background Delirium is a frequent and serious complication in critically ill patients and associated with adverse outcomes. Automated pupillometry has emerged as a potential diagnostic tool for the detection of delirium. However, pupillometric parameters are also influenced by pain, potentially confounding their relationship to delirium. The aim of this study was to evaluate the association between automated pupillometry parameters and delirium in patients with high risk of pain (surgical patients) admitted to intensive care units (ICU). Methods This prospective multicenter observational study included adult surgical patients admitted to an ICU between April 2023 and August 2025. Delirium was assessed every 6 h after admission using CAM-ICU. Automated pupillometry together with pain intensity scores (VAS, CPOT, BPS) were performed concurrent with CAM-ICU. To account for repeated measurements within individual patients, a generalized linear mixed-effects model (GLMM) with patient as a random effect was used to evaluate the association between pupillometric parameters and diagnosed delirium. Results Forty-nine patients were included, yielding 417 measurements, of which 48 (12%) were done in patients who were simultaneously CAM-ICU positive. Among pupillometric variables, only average pupillary latency (LAT avg) was significantly shorter in patients with delirium ( p = 0.01). In the mixed-effects model adjusted for sedation depth, level of consciousness, and pain intensity, LAT avg. was independently associated with delirium (OR 1.55 per 0.01; 95% CI 1.13–2.13; p = 0.007). Conclusion In surgical ICU patients, shortened pupillary light reflex latency is associated with delirium. Automated pupillometry may serve as a useful tool for detection of delirium in this population. Clinical trial registration https://clinicaltrials.gov/study/ Identifier: NCT05811208.

Abstract For implantable closed loop neuromodulation systems, real-time neural sensing, biomarker detection, and targeted stimulation are essential components for delivering personalized therapy. Current limitations in sampling rate and the number of available recording channels in implantable systems may pose significant challenges, especially in epilepsy research where high-frequency biomarkers and multi-site monitoring are essential. The Brain Interchange (BIC) system of CorTec is an externally powered, wireless implantable system that enables sensing and stimulation up to 32 channels at 1 kHz addressing the current limitations in the field. In this study, we present a modular closed loop neuromodulation environment developed for the BIC, enabling real-time data streaming, event detection, and flexible stimulation control. The framework integrates a Simulink-based processing pipeline, real-time communication, and a graphical user interface supporting both open and closed loop paradigms. System performance was evaluated through impedance measurement, latency assessment across three stimulation modes, and real-time closed loop stimulation using electrocardiogram (ECG) for in-lab demonstration. This modular environment provides a flexible platform for developing and validating neuromodulation algorithms and can be extended to incorporate advanced biomarker detection and multi-channel neural interfaces for future clinical research.

Abstract Asthma is a chronic inflammatory condition marked by episodic airway narrowing, with exercise-induced bronchoconstriction (EIB) a common trigger. Up to 70% of athletes experience EIB-related symptoms, yet current management relies on reactive treatment rather than early physiological monitoring. This study presents a proof-of-concept multimodal wearable platform integrating impedance pneumography (IPG), electrocardiography (ECG), and inertial measurement unit (IMU) sensing to detect early physiological signatures of EIB. Candidate biomarkers include elevated heart rate, increased respiratory rate, and reduced thoracic impedance amplitude. Real-time embedded algorithms perform on-device feature extraction and threshold-based decision logic without cloud dependence, while IMU data provide posture context for signal interpretation. The system was evaluated through subsystem validation and a resistive-breathing protocol simulating bronchoconstriction. Results demonstrate reliable detection of characteristic cardiorespiratory changes, establishing the feasibility of real-time wearable detection of early EIB markers and supporting future large-cohort validation and form-factor refinement.