Citations

Abstract Background Accurate and efficient dose calculation is essential for online adaptive planning in proton therapy. Deep learning (DL) has shown promising dose prediction results for pencil beam scanning proton therapy (PBSPT) in recent years, but existing DL‐based dose prediction methods still suffer from limited generalizability and an inability to effectively handle outlier clinical cases. This may lead to inaccurate dose delivery to targets or excessive irradiation to organs at risk (OARs), thereby compromising the safety and efficacy of online adaptive proton therapy. Purpose To design a physics‐aware and generalizable AI‐based PBSPT dose prediction method that incorporates underlying physics to enhance generalizability, particularly in handling outlier clinical cases. Methods This study analyzed PBSPT plans of 103 prostate (93 for training and 10 for testing) and 78 lung cancer patients (68 for training and 10 for testing) from our institution, with each case comprising CT images and structure sets. Using the doses generated by our Monte Carlo‐based dose engine as the reference standard, we compared three methods: the region of interest (ROI)‐based method, the beam mask and sliding window method, and the proposed noisy probing dose method, which rapidly generates a low‐statistics dose via uniformly weighted spots on an expanded spot‐placement target volume without optimization. To evaluate the generalizability of these methods to rare treatment planning scenarios, 12 cases with uncommon beam angles or prescription doses were used to assess their performance, which was evaluated using dose‐volume histogram (DVH) indices, 3D Gamma passing rates (3%/2 mm/10%), and Dice coefficients for dose agreement, while prediction times were measured to gauge model efficiency. Results The proposed noisy probing dose method consistently outperformed the ROI‐based and beam mask baselines across all evaluated metrics, with more accurate dose agreement and superior generalizability. For DVH indices, the noisy probing dose method achieved the smallest deviation in clinical target volume (CTV) dose coverage: in prostate cancer, CTV D98 deviation was reduced by 45% (from 0.53 ± 0.22 Gy [RBE] for ROI‐based) and 29% (from 0.41 ± 0.28 Gy [RBE] for beam mask) to 0.29 ± 0.06 Gy [RBE]; in lung cancer, similar improvements were observed, with CTV D98 deviations reduced to 0.34 ± 0.12 Gy [RBE]. The 3D Gamma passing rates improved to 99.65% ± 1.15% for prostate targets and 97.04% ± 1.17% for lung targets. The dice coefficients of the 90% iso‐dose lines were also the highest with the noisy probing dose method (prostate: 0.983 ± 0.005; lung: 0.967 ± 0.01). For the 12 outlier cases, the noisy probing dose method maintained superior generalizability, yielding higher 3D Gamma passing rates (prostate targets: 96.79% ± 0.83%, OARs: 94.29% ± 1.01%; lung targets: 93.38% ± 1.34%, OARs: 93.95% ± 1.32%), demonstrating robust generalizability to rare clinical scenarios. The dose predictions for all testing cases were completed within 0.3 seconds. Conclusions A novel noisy probing dose method was proposed for PBSPT dose prediction in prostate and lung cancer patients. By embedding more proton‐specific physics, this method demonstrated an improvement in the generalizability of dose prediction.

Background/Objectives: White matter (WM) tract detection is critical in the presurgical planning of tumor resection. However, standard-of-care imaging techniques including T1-weighted, T2-weighted, and Diffusion Tensor Imaging (DTI) often fail to identify WM tracts within edematous regions. In T1/T2-weighted imaging, edema increases extracellular water and reduces tissue contrast, and in diffusion-weighted imaging, edema elevates isotropic diffusion, reducing sensitivity to anisotropic diffusion along WM tracts. Advanced biophysical diffusion modeling techniques such as Neurite Orientation Dispersion and Density Imaging (NODDI) and the Standard Model (SM) address this limitation by compartmentalizing the diffusion signal into free-water, intra-neurite, and extra-neurite contributions. Here, we test if biophysical multi-compartment models can robustly identify WM tracts and recover tractography streamlines within edematous regions. Methods: In this study, we use multi-shell diffusion-weighted MRI data obtained from patients with meningiomas—a pathology allowing for isolation of the effects of edema without the confounding effects of tumor cell invasion. We compared FA from standard and free-water-corrected DTI, the orientation dispersion index (ODI) from NODDI, and P2 (a scalar descriptor of fiber orientation coherence) from the SM fODF in edematous and unaffected contralateral WM regions. As a proof of concept, we visually evaluated the tractography performance across models. Results: Our results show that (1 − ODI) and P2 values in edema remained close to within-subject contralateral measurements, contrasting with substantial reductions in FA and FW-FA. (1 − ODI) showed a small but statistically significant increase in edema (~8%, p = 0.02), while P2 was unchanged. Conclusions: These results highlight the potential of biophysical diffusion models for preoperative mapping in edema.

Abstract Endothelial-to-mesenchymal transition (EndMT) is a biological process through which lung vascular endothelial cells (ECs) transdifferentiate into mesenchymal-like cells. EndMT has recently been implicated in the development and progression of pulmonary vascular remodeling in pulmonary hypertension (PH); however, its underlying regulatory mechanisms remain incompletely understood. MicroRNAs (miRNAs) are key post-transcriptional regulators of EC gene expression and cellular responses to various stimuli. Notably, microRNA-153 (miR-153) has been shown to directly target SNAI1 to modulate epithelial-to-mesenchymal transition (EMT), a process closely related to EndMT and extensively studied in cancer. Whether miR-153 also participates in EndMT regulation, however, remains unknown. In this study, we demonstrate that 72-hour hypoxic exposure induces SNAI1-mediated EndMT in human lung vascular ECs. Hypoxia also increased cell proliferation and disrupted intercellular junctions, leading to enhanced endothelial permeability. Reduced miR-153 expression was observed in both hypoxia- and TGF-β1-induced EndMT, as well as in ECs isolated from PH patients exhibiting an EndMT phenotype. Similar to hypoxia, TGF-β1 promoted EC permeability. Loss of miR-153 enhanced SNAI1-mediated EndMT, endothelial survival, and permeability under normoxic conditions, whereas miR-153 overexpression attenuated EndMT induced by hypoxia or TGF-β1. However, miR-153 restoration did not completely restore endothelial barrier integrity disrupted by these stimuli. In vitro findings were validated in experimental PH model. In conclusion, miR-153 serves as a critical regulator of EndMT, maintaining endothelial identity and barrier function. Therapeutic delivery of miR-153 may therefore represent a novel strategy to inhibit EndMT and attenuate pulmonary vascular remodeling in PH.

Abstract Background Markerless tumor tracking (MTT) using single‐energy (SE) kilovoltage (kV) imaging has been proposed as a technique for lung tumor motion management. However, bony structures can obscure the tumor and make tracking challenging. Dual‐energy (DE) subtraction imaging can suppress the bone and therefore enhance tumor visibility, potentially improving tracking accuracy. Purpose To develop a machine learning model that predicts the reliability of MTT for SE and DE imaging using phantom and patient data. Methods Images were collected at high and low energy (120/60 kV) using fast‐kV switching on dynamic thorax phantom with 5–15 diameter targets and 20 lung cancer patients, including one patient with two tumor locations. DE images were then generated off‐line using weighted logarithmic subtraction. Separately, a template‐based tracking algorithm was used to track the tumor on both phantom and patient images. For phantom data, the ground truth (GT) was defined by the cos 4 waveform programmed into the motion controller. Since the GT was unknown for patient data, it was estimated using a Kalman filter and further refined using visual inspection. The tracking success rate (TSR) was subsequently calculated. Based on TSR, patients were stratified into three tracking groups: good, moderate, and poor. A logistic regression (LR) model was implemented with tracking features, including match score, peak to side‐peak ratio (PSR), x ‐ and y ‐velocity. To address the distribution differences between phantom and patient data, a domain indicator and interaction features were also incorporated. The model was trained on phantom and 17 patient data using leave‐one‐out cross‐validation, and its performance was evaluated on three held‐out patients, one from each tracking group. Separate LR models were developed for each imaging modality, resulting in SE‐LR and DE‐LR models. For each held‐out patient, the confusion matrix, sensitivity, and specificity were reported. Results For both SE‐LR and DE‐LR models, PSR has the largest coefficient value, indicating that it is the most influential factor when determining the reliability of tracking. At a specificity of 95%, the DE‐LR model achieved significantly higher sensitivity than the SE‐LR model (0.908 vs. 0.731, p < 0.01 for phantom data and 0.657 vs. 0.589, p < 0.01 for patient data). In the three held‐out patients, the DE‐LR model outperformed the SE‐LR model across all metrics. The largest gains were found in the patient with good tracking quality. Conclusions The proposed LR models successfully predicted the reliability of SE‐ and DE‐MTT. Across phantom and patient datasets, the DE‐LR model consistently demonstrated improved performance compared with the SE‐LR model, suggesting that DE imaging may be beneficial for MTT applications.

Abstract Rationale Prior studies demonstrate pulmonary artery (PA) enlargement on computed tomography (CT) in pulmonary hypertension (PH). Some patients exhibit markedly enlarged or “aneurysmal” PA dilation, but its clinical relevance remains unclear. We aimed to characterize clinical characteristics, hemodynamics, and survival probability of patients with aneurysmal PA size. Methods Demographics, clinical characteristics, and CT imaging were obtained for individuals with group 1 or 2 PH and matched controls in the Pulmonary Vascular Disease Phenomics cohort. PA diameter was measured using Osirix software. PA diameter was categorized based on previously reported values as normal (&lt;27 mm [females], &lt;29 mm [males]), enlarged (27-39 mm [females], 29-39 mm [males]), or aneurysmal (≥40 mm). Outcomes included mean PA pressure (mPAP) on right heart catheterization (RHC) and time to death or heart/lung transplant. Associations with mortality and mPAP were evaluated using multivariable Cox and linear regression models, adjusting for age, sex, and BMI. Descriptive statistics are presented as median [IQR]. Results 690 subjects met the inclusion criteria for survival analysis (364 WSPH group 1 or matched comparator, 241 group 2 or comparator, 85 healthy control), with 594 undergoing RHC. PA diameter was normal in 163 participants, enlarged in 414, and aneurysmal in 113. Aneurysmal PA, compared with normal or enlarged PA, was associated with younger age (53 ± 14 vs 55 ± 16 and 59 ± 15 years, respectively; p &lt; 0.001), non-White race (18.9% vs 8% and 17.2%; p = 0.034), pro-BNP (1950 ± 5708 vs 531 ±1651 and 110 ± 2258 pg/mL; p &lt; 0.001), PH duration (6.78 ± 6.86 vs 2.24 ± 4.39 and 3.82 ± 5.47 years; p &lt; 0.001), group 1 disease (77% vs 37% and 61%), and congenital heart disease (CHD)-PAH (10.6% vs 0.0% and 4.8%, p &lt; 0.001). Aneurysmal PA subjects had higher mPAP (46 [36-57] vs 19 [16- 25] and 35 [28-47] mmHg, p &lt; 0.001), pulmonary vascular resistance (PVR) (5.5 [3.6-9.4] vs 1.7 [1.0-2.3] and 4.1 [2.4-7.1] Woods units, p &lt; 0.001), cardiac index (CI; 2.73 [2.34-3.29] vs 2.55 [2.13-2.98] and 2.52 [2.12-3.10] L/min/m2, p &lt; 0.02) and likelihood of death or transplant (p &lt; 0.001; Figure 1). Conclusion “Aneurysmal” PA was more common in younger, non-White subjects with longer WSPH group 1 disease duration, CHD, and higher pro-BNP levels. Aneurysmal PA was associated with elevated mPAP, PVR, and CI, and reduced likelihood of survival. These findings highlight the need to further elucidate the pathophysiology and prognostic implications of aneurysmal PA remodeling in PH. This abstract is funded by: NHLBI and the Pulmonary Hypertension Association

Abstract Background We recently reported a strong association between CT markers of pulmonary artery (PA) dilation and mean PA pressure (mPAP) in subjects with World Symposium on Pulmonary Hypertension (WSPH) group 1 and 2 pulmonary hypertension (PH). The relationship between PA size and mPAP in subjects with WSPH group 3 PH, in which parenchymal changes may influence PA dilation, remains uncertain. We sought to investigate this relationship in subjects with and without PH who have significant parenchymal pulmonary disease or hypoxia. Methods We measured PA diameter and PA:aorta (PA:A) ratio on CT for all subjects with WSPH group 3 PH, matched disease comparators, and healthy controls in the Pulmonary Vascular Disease Phenomics (PVDOMICS) cohort. PH and comparator subjects were categorized by group 3 etiology into obstructive (including chronic obstructive pulmonary disease [COPD] and cystic fibrosis), interstitial (including idiopathic pulmonary fibrosis, unspecified interstitial lung disease, combined pulmonary fibrosis and emphysema, and chronic hypersensitivity pneumonitis), and non-parenchymal (including obesity hypoventilation syndrome, obstructive sleep apnea, and extrinsic restrictive disease) subgroups. Primary outcome was mPAP on right heart catheterization (RHC). Association with mPAP was evaluated using multivariable linear regression adjusted for age, sex, and BMI. Results 339 subjects met inclusion criteria (101 WSPH group 3 PH, 153 disease comparators, 85 healthy controls). 83 subjects had obstructive disease, 125 had interstitial disease, and 46 had non-parenchymal disease. PA diameter and PA:A were associated with mPAP in all subjects and in each subgroup (p &lt; 0.001; see figure 1). The association was notably stronger in the non-parenchymal group (ρ = 0.707 for diameter, 0.750 for PA:A) compared to obstructive (ρ = 0.566 for diameter, 0.529 for PA:A) and interstitial (ρ = 0.432 for diameter, 0.373 for PA:A) groups. Change in PA size between 25th and 75th percentile mPAP was lower in the interstitial group (3.88 mm, ratio 0.12) than in the obstructive (4.88 mm, ratio 0.17) and non-parenchymal (4.80 mm, ratio 0.19) groups (see figure 1). Conclusions PA size on CT is associated with mPAP in subjects with chronic lung disease with and without PH. This association is strongest in subjects without parenchymal lung disease but with features of hypercarbia or hypoxia alone. These data suggest that features of parenchymal lung disease in certain patients may limit expected PA dilation in response to elevated PA pressures. Further study is needed regarding the implications of these findings for early identification of PH in patients with chronic lung disease. This abstract is funded by: The NHLBI and Pulmonary Hypertension Association

OBJECTIVE The aim of this study was to evaluate freedom from tumor progression and clinical outcomes in older adults with small- to medium-sized vestibular schwannoma (VS) managed by observation versus stereotactic radiosurgery (SRS) to better inform optimal management in this patient population. METHODS In this international multicenter study, patients aged ≥ 60 years with Koos grade I or II VS managed by observation or SRS were retrospectively reviewed. Propensity score matching was conducted using patient characteristics, tumor size, and hearing assessments. Outcome measures of freedom from tumor progression, serviceable hearing preservation (SHP), and neurological function (tinnitus, vestibulopathy, House-Brackmann grade, and trigeminal nerve function) were assessed for both groups. RESULTS The observation and SRS groups each comprised 51 matched patients (median age 68 years for both). Ipsilateral serviceable hearing was observed at presentation for 35 patients in each group. The median follow-up duration was 39 months in the observation group versus 27 months in the SRS group (p = 0.5). Tumor progression was significantly lower with SRS than with observation (2% vs 52.9%, p < 0.001). The rate of 5-year freedom from tumor progression was 100% in the SRS group versus 43% (95% CI 29%–64%) in the observation group. The rate of 10-year freedom from tumor progression was 90% (95% CI 73%–100%) in the SRS group versus 20% (95% CI 8.5%–49%) in the observation group. At the last follow-up, hearing loss occurred in 42.9% of the observation group and 51.4% of those who underwent SRS (p = 0.5). The 3-year SHP rate was 68% (95% CI 53%–88%) versus 65% (95% CI 49%–85%) (p = 0.8), and the 5-year SHP rate was 53% in both groups (95% CI 36%–78% in the observation group and 95% CI 35%–79% in the SRS group, p = 0.8). The composite endpoint of tumor progression and/or worsened neurological outcome, including hearing loss, tinnitus, vestibulopathy, facial nerve dysfunction (House-Brackmann grade), or trigeminal dysfunction, demonstrated a significantly lower rate in the SRS group (17.6%) compared with the observation group (66.7%) (p < 0.001). CONCLUSIONS SRS in older patients for management of Koos grade I or II VS resulted in significantly superior rates of freedom from tumor progression, comparable hearing preservation rates, and significantly higher rates of favorable overall radiographic and neurological outcomes than observation alone. Compared with observation, SRS might be the preferred management option in this patient population.

Our group has recently reported how acute binge alcohol consumption increases heart rate (HR) and aortic pulsatile load (HR x aortic pulse pressure) in the evening following simulated drinking and the subsequent morning after. However, the influence of acute binge alcohol on the subendocardial viability ratio (SEVR), an estimate of myocardial oxygen supply and demand, has not been reported. We hypothesized that acute binge alcohol consumption would decrease the SEVR within 30 minutes after consumption and the morning after. Participants (n=22; 50% females; age 25±1 years; BMI 27±1 kg/m 2 ) arrived for baseline blood pressure and arterial tonometry measures at 4 pm just prior to a standardized meal. Participants were enrolled into a binge alcohol or fluid control protocol in a randomized order, with one month between visits and received the opposite condition upon laboratory return. Alcohol or fluid control doses were administered in two equal allocates at 8 and 9 pm, and participants were provided 15 min to consume during each allocate period. The blood pressure and arterial tonometry measures were repeated 30 minutes after completion of each fluid consumption, and within 15 minutes of waking the morning after fluid control or binge alcohol consumption within the polysomnographic sleep laboratory. The binge alcohol protocol consisted of a 1:3 mixture of 190 proof grain ethanol and fruit juice (i.e., orange or cranberry juice) based on body weight and sex (1g/kg men, 0.85g/kg women), while the fluid control was only fruit juice in equal volume. Reported data are mean ± standard error, and means were considered significantly different when p< 0.05. The SEVR was significantly reduced from baseline (185±8%) after the first (163±7%; p< 0.001) and second (157±8%; p< 0.001) dose of the alcohol, but unchanged after the first (p=0.890) or second dose (p=0.789) of the fluid control. In the second part of our study, SEVR was significantly lower the morning after binge alcohol than the morning after fluid control (169±7 vs. 185±7%; p=0.009). Binge alcohol consumption decreased SEVR both acutely and the morning-after drinking. These findings highlight how binge alcohol may reduce myocardial perfusion and contribute to ischemic heart disease and cardiovascular risk. This abstract was presented at the American Physiology Summit 2026 and is only available in HTML format. There is no downloadable file or PDF version. The Physiology editorial board was not involved in the peer review process.

Abstract Femoroacetabular impingement with cam morphology that fails nonoperative management can be addressed with hip arthroscopy and cam resection. There exists a wide variation of cam morphology due to various etiologies that can make some cam lesions more challenging to address. A thorough preoperative evaluation and the utilization of a variety of intraoperative techniques can allow for adequate arthroscopic resection of these otherwise challenging cam lesions. In this technique video, we describe a systematic approach for the preoperative assessment of femoroacetabular impingement due to a cam lesion and consideration of different approaches for arthroscopic resection based on cam‐specific morphology.