Citations

Background: Although no tests are currently available to predict post-stroke depression (PSD), a risk factor for diminished quality of life and stroke-related death, emerging evidence suggests that ischemic stroke (IS) may induce behavioral changes by damaging connections throughout the brain rather than via localized injury. Hypothesis: We sought to determine if active (surveys) and passive (accelerometer, GPS, and other sensors) smartphone data could quantify exploratory behavioral proxies of PSD. Methods: Thirty-four adults with a recent IS (n = 12) or transient ischemic attack (TIA) (n = 22) diagnosis were followed for 3 months. Participants used the Beiwe app to complete a weekly Patient Health Questionnaire-8 (PHQ-8) survey and were evaluated every 30 days with the Montgomery-Asberg Depression Rating Scale (MADRS). Results: Preliminary analysis of app survey compliance was adequate (86%), and the quantity of data collected was greater for Android than iOS phones. PHQ-8 indicated depression (moderate or severe) in 20% of participants. MADRS highly correlated with the most recent PHQ-8 ( r = 0.92, 95% CI (0.19, 0.99), P = 0.028). Several exploratory passive physical activity and social measures showed statistically significant change over time and/or associations with PHQ-8 and MADRS. Conclusion: Low-burden smartphone data holds promise for developing novel IS and TIA outcome measures as well as identifying patients most at risk of PSD.

Introduction: Calcium scoring computed tomography (CAC) is a widely available and inexpensive modality of screening for atherosclerosis. This study aims to improve the predictive value of CAC by incorporating pericardial fat characteristics in a CatBoost model. Methods: A sample of 7,000 non-contrast clinically indicated CAC scans were randomly selected from a cohort of consecutive Olmsted County MN residents. Known history of atherosclerotic cardiovascular disease or impaired images were excluded. A pericardial fat segmentation model, trained on 191 images of the same dataset with a dice similarity score of 94%, was applied to 6,194 CT scans; Volume and mean Hounsfield unit (mHU) of the output masks were added to age at imaging, radiologist-measured calcium score, male gender, diabetes, and smoking (Figure 1). A 70,20 and 10% split was used to produce the training, validation and test set, respectively. Features were inputted to CatBoost classifier, as the best model tested, to predict four outcomes: acute coronary syndrome (ACS), heart failure (HF), ischemic stroke, and all-cause mortality. Model was evaluated by area under the ROC curve (AUC) on the unseen test set. Results: Mean age was 55.2 (8.8), 55.2 (8.8) and 54.8 (8.5) years in the training, validation and test sets, respectively, and 65%, 67% and 66% of the populations were male. The mean AUC, obtained through bootstrapping with 100 iterations, was 0.81 [0.77-0.85], 0.86 [0.60-0.92], 0.80 [0.73-0.87] and 0.87 [0.81-0.91] for HF, ACS, stroke and death, respectively; The same analysis excluding pericardial fat measurements showed a 3% reduction in the AUC for all of the investigated outcomes (Figure 2). Conclusion: Our study presents a robust risk prediction model for ACS, HF, stroke, and mortality based on CAC scans. The improved performance of the model by incorporating pericardial fat characteristics, highlights the potentials of deep learning in timely inexpensive risk prediction in large populations.

Abstract Clinical management of IDH wildtype glioblastoma (GBM) and tumefactive multiple sclerosis (tMS) is drastically different. GBM requires maximal safe resection followed by chemoradiation, while tMS outcome is worsened by surgery and radiotherapy. Noninvasive methods are needed to help with accurate diagnosis of tumor and non-tumor etiologies. To develop an MRI-based classification model, tMS subjects diagnosed prior to January 1, 2020, were matched to tMS by age at diagnosis, sex, index MRI date, and 2D/3D acquisition. Inclusion criteria included one cm minimal lesion size and pre-operative post-contrast T1 and T2 images available for analysis. A 3D-DenseNet121 was used to develop a classification model using prespecified parameters: 650 epochs, batch size 16, learning rate 10-3, cross-entropy loss, and AdamW optimizer. The stopping rule was defined as three sequential differences in epoch cross-entropy loss <0.02. Models were developed using both T1gd and T2, as well as from only T1gd and only T2. Training included 220 subjects (110 GBM, 110 tMS). A 2-stage validation design was used, which included both retrospective and prospective cohorts. Stage 1 consisted of 272 retrospective GBM (diagnosed prior to January 1, 2020). Stage 2 consisted of 69 and 34 prospective (diagnosed after January 1, 2020) GBM and tMS, respectively. External validation on the 272 retrospective GBM demonstrated accuracy of 91%, 84%, and 78% for T1gd+T2, T1gd only, and T2 only, respectively. External validation on the 69 prospective GBM demonstrated an accuracy of 87%, 64%, and 67% for T1gd+T2, T1gd only, and T2 only, respectively. The 34 prospective tMS demonstrated accuracy of 76%, 76%, and 82% for T1gd+T2, T1gd only, and T2 only, respectively. This shows the feasibility of deep learning to aid in differential diagnosis of brain lesions. Future work entails the integration of germline variants into the classification model, including variants associated with the risk of glioma or MS.

Abstract BACKGROUND Pituitary adenomas are often effectively managed with medical therapy, surgery, and radiation therapy. However, up to 15% of pituitary neoplasms exhibit rapid growth, invasive behavior, or, rarely, metastasize despite optimal standard treatments. Temozolomide is associated with a survival benefit for patients with these aggressive pituitary tumors. METHODS We present a case series of 8 patients with an aggressive pituitary tumor (APT) or pituitary carcinoma (PC) treated with temozolomide. RESULTS Eight patients (3 female, median age at diagnosis 44) with APT (n=6) or PC (n=2) were treated. A variety of pituitary tumor types were represented (1 prolactinoma, 5 corticotroph adenomas, 1 gonadotroph adenoma, 1 thyrotropinoma). Prior to temozolomide initiation, patients underwent a median 5 treatments including medical management (n=4), surgery (n=7), radiation therapy (n=7). Temozolomide was started at median 3.5 recurrence. Median treatment duration was 6 cycles (n=6, 150-200 mg/m2 days 1-5, 28-day cycles; n=1, 75 mg/m2, days 1-21, 28-day cycles). Seven patients experienced progression after temozolomide treatment, median progression-free survival (PFS) was 4 months. One patient remains on treatment, progression-free at 5 months. MGMT methylation status was assessed for 3 tumors. Among 2 patients with MGMT promoter methylated tumors, PFS was 4 months for one patient, the other remains on treatment. For one patient with MGMT promoter unmethylated corticotroph adenoma, PFS was 9 months. No ≥ grade 4 toxicities were noted. Most common toxicities were nausea (n=5), thrombocytopenia (n=3), and fatigue (n=2). CONCLUSION In this group of heavily pretreated patients, temozolomide monotherapy was well-tolerated and associated with median PFS of 4 months. Interestingly, PC patients had longer PFS at 9 months and 24 months. Our findings support use of single-agent temozolomide chemotherapy for patients with APT/PC, but further prospective analysis is needed to identify patients more likely to benefit from treatment and optimal timing of chemotherapy initiation.

Background We developed a simplified ABC/2‐derived method to estimate total subarachnoid hemorrhage volume (SAHV) on noncontrast computed tomography in patients with aneurysmal SAH and compared the clinical and radiographic outcomes. Methods and Results In this retrospective observational cohort study, we analyzed 277 patients with SAH admitted to our Comprehensive Stroke Center between 2012 and 2022. We derived a mathematical model (model 1) by measuring SAH basal cisternal blood volume using an ABC/2‐derived ellipsoid formula (A=width/thickness, B=length, C=vertical extension) on head noncontrast computed tomography in 5 major SAH cisternal compartments. We compared model 1 against a manual segmentation method (model 2) on noncontrast computed tomography. Data were analyzed using logistic regression analysis, t test, receiver operator characteristic curves, and area under the curve analysis. There was no significant difference in cisternal SAHV analysis between the 2 models ( P =0.14). Mean SAHV by the simplified method was 7.0 mL (95% CI, 5.89–8.09) for good outcome and 16.6 mL (95% CI, 13.49–19.77) for poor outcome. Patients with delayed cerebral ischemia had higher SAHV, with a cutoff value of 10 mL. Conclusions Our simplified ABC/2‐derived method to estimate SAHV is comparable to manual segmentation and can be performed in low‐resource settings. Higher total SAHV was associated with worse outcomes and higher risk of delayed cerebral ischemia. A potential dose–response relationship was observed, with SAHV >10 mL predicting worse outcomes and higher risk of DCI.

Abstract Disclosure: B. Graner: None. D.Z. Erickson: None. D. Donegan: None. Introduction: Pituitary lesions are a common incidental finding on brain MRI, the majority of which are cystic. The natural history and management of cystic pituitary lesions have not been clearly established. Purpose: The purpose of this study is to determine the natural history of incidentally identified cystic pituitary lesions, risk factors for growth and the proportion of patients who develop clinically significant symptoms requiring surgical intervention. Methods: Pituitary MRI reports between 01/01/2015 and 12/31/2022 in patients aged 18 years and older were searched for using Dig Our Radiology Information System (DORIS) using the words “cyst” or “cystic.” Additional inclusion criteria included a follow-up pituitary MRI of at least one year duration, clinical evaluation by Endocrinology, and the presence of a cystic pituitary lesion. Patients with non-contrast exams, excessive pituitary hormone secretion, and surgery within 1 year of presentation were excluded. Patient demographics, imaging characteristics of the lesion and clinical outcomes were collected. All pituitary MRI exams were reviewed by a single neuroradiologist. Results: A total of 157 MRIs in 56 patients with a mean age of 48 ±15 years were included, 39 (70%) were female. The mean follow-up was 2.3 ± 1.4 years. The most common indication for MRI was headache (n= 18, 32%). There was no significant difference in mean maximum (max) diameter at last follow-up compared to baseline (7.45 ±4.23 vs 7.04 ±4.35 mm, p=0.06) or mean cyst volume (197.08 ±252.68 vs 201.43 ±326.18 mm3). Nine (16%) of the lesions increased in volume with a mean change in volume of 105 ±133.64 mm3/yr, note 11 (20%) decreased volume and 36 (64%) remained the same size. Using univariate logistic regression, the odds of cyst growth was greater the larger the max diameter (p= 0.03) or volume was at baseline (p= 0.02)/ Female sex (p=0.32), age at diagnosis (p=0.70) or whether the lesion was thought to be a Rathke cleft cyst or a cystic adenoma (p=0.80) were not associated with increased odds of growth. The risk of growth was higher (42 vs 9%, p=0.016) and the volume change per year was greater (67.2 ±134 vs -7 ±28 mm3, p=0.04) in those with a baseline max diameter of >10 mm. Surgery was performed in 4 patients (7%), 3 of which demonstrated lesion growth (baseline size 12-15 mm and growth rates of 59-341mm3/yr). Pathology revealed one Rathke cleft cyst, one cystic adenoma and fibrotic pituitary changes. The fourth surgical patient opted for resection at an outside facility without a demonstrated increase in size (Rathke cleft cyst). Conclusion: The majority of incidentally found cystic pituitary lesions do not increase after an average follow-up 2-3 years. Growth necessitating surgical intervention was only required in 5% of patients over the study period. A pituitary cyst >10 mm at diagnosis was associated with an increased risk of growth and therefore warrants closer follow-up. Presentation: 6/1/2024

Abstract Disclosure: J. Hewlett: None. S. Mohan: None. C.J. Davidge-Pitts: None. J. Abeykoon: None. R. Go: None. D.Z. Erickson: None. Objective: Erdheim-Chester Disease (ECD) is a multisystem histiocytic disorder which can infiltrate the pituitary gland, often leading to endocrine dysfunction. Central Arginine Vasopressin Deficiency (cAVP-D) commonly affects ECD patients, and those harboring BRAFV600E are reported to have an increased risk. Insufficient data exist about the risk associated with other mutations, and if cAVP-D or pituitary imaging improves with targeted therapies (TT). Methods: We conducted a review of a prospectively maintained database of adults with ECD treated at a tertiary center between 1992-2023. Objectives of this study were to identify mutations associated with cAVP-D and assess for improvement in cAVP-D (remission of disease or decrease in dose of desmopressin) or pituitary gland involvement (via MRI imaging) following TT for ECD. Results: Of 148 patients with ECD, the majority were male (98, 66.2%) and the mean age at diagnosis was 56.5 years [range: 19-82]. Median length of follow-up was 24 months (95% CI, 17 to 27). Of 121 (81.8%) patients with molecular testing results, 89 (73.6%) harbored a somatic mutation. 67 of 89 (75.3%) carried BRAF mutations, with BRAFV600E in 61 (91.0%) and missense mutations/fusions in 6 (9.0%). 22 of 89 (24.7%) patients harbored other somatic mutations, with MAP2K1 in 13 (14.6%) being the most common. 35 (23.6%) patients were diagnosed with cAVP-D, and the median onset of polyuria and polydipsia prior to diagnosis of ECD was 51 months (95% CI, -120 to -6). Molecular testing was performed in 28 patients with cAVP-D: 17 (60.7%) harbored BRAF mutation and 3 (10.7%) MAP2K1 mutation. There was no significant association between the presence of cAVP-D and MAP2K1 (p=0.69, 95% CI, -0.08 to 0.21). The association between cAVP-D and BRAF did not reach statistical significance (p=0.07, 95%CI, -0.03 to 0.38). Additionally, there was no association between BRAF and timing of cAVP-D symptoms before ECD diagnosis (p=0.08, 95% CI -163.4 to 10.3). Pituitary MRI was available in 32 patients with cAVP-D (91.4%) showing infundibular involvement in 17 (53.1%) and loss of the posterior bright spot in 5 (15.6%). 28 (80%) patients with cAVP-D received systemic therapy, 18 (64.3%) of whom received TT. One patient with cAVP-D was able to discontinue desmopressin. Improvement of pituitary MRI was noted in 7 (21.9%), among whom 4 received TT, 2 received systemic non-TT, and 1 was lost to follow-up. There was no significant MRI improvement associated with TT (p=0.67, 95% CI -0.30 to 0.42). Conclusion: In this large cohort of patients with ECD, of whom the majority underwent molecular testing, we identified no association between MAP2K1 mutation and cAVP-D, and no impact of TT on the clinical course or MRI findings associated with cAVP-D. BRAF mutation carriers were more likely to have cAVP-D and more likely to have onset of symptoms closer to ECD diagnosis, but the results did not reach statistical significance. Presentation: 6/2/2024

Abstract Disclosure: J. Herndon: None. W.G. Breen: None. N. Laack: None. W.S. Harmsen: None. D.Z. Erickson: None. Background: Treatment of chordomas and parasellar meningiomas includes surgical resection and/or various forms of radiotherapy. Proton beam therapy (PBT) is able to provide higher doses of radiation to the targeted tissues while better sparing surrounding structures, potentially facilitating decreased toxicity. While proton utilization has increased, there is a paucity of data regarding short- and long-term endocrinologic outcomes in these patients. Objective: Determine rate of hypopituitarism in patients with chordomas and parasellar meningiomas undergoing PBT. Methods: A prospectively maintained radiation database including adult patients treated with PBT since 2015 at a tertiary referral center for chordomas and parasellar meningiomas was reviewed. Data collected at baseline included demographic data, tumor diagnosis and pathology, prior history of surgery/radiation, radiation treatment, biochemical hormonal data, and incidence of pituitary insufficiencies (PI). Biochemical pituitary hormonal data and incidence of new PI was recorded at 6 months, 1 year, 2 years, 3 years, 4 years, 5 years, and up to two additional time points up to 10 years post-PBT. Statistical analysis includes descriptive statistics presented as number (%) and median [IQR]. Results: Of 177 patients with sellar/parasellar masses with sufficient endocrine data who underwent PBT, a total of 64 patients (36.2%) were included; 40 (62.5%) with parasellar meningioma and 24 (37.5%) with chordoma. Median age of patients was 49.5 years old [37.7, 63.2], and 44 (68.8%) were female. Median follow-up was 24 months [12, 36]. Prior to PBT, 52 patients (81.3%) were treated surgically, 5 (7.8%) had prior fractionated photon or gamma-knife radiation therapy. At baseline 10 patients (15.6%) exhibited PI in at least one pituitary axis, most commonly secondary hypogonadism (7, 70%). Median PBT total prescribed dose was 54 Gy [50.4, 70.0] in a median of 30 [28, 35] fractions. Cumulative incidence of newly diagnosed PI at follow-up was 4.7% at 6 months, 9.4% at 1 year, 14.1% at 2 years, and 17.2% at 3+ years. No patients with PI at baseline developed new deficiencies. Among the 11 patients (17.2%) who developed new PI, 17 various deficiencies were recorded (range 1-3 per patient), including hypogonadism (8, 47.1%), hypothyroidism (6, 35.3%), and adrenal insufficiency (4, 23.5%). No growth hormone deficiency was clinically diagnosed, however IGF-1 levels decreased from baseline at the follow-up (when available) by a median of -11.8 ng/mL at 6 months (n = 12), -3.0 at 1 year (n = 12), -17.0 at 2 years (n = 7), -30.5 at 3 years (n = 4), -55.0 at 4 years (n = 3), and -37.5 at 5 years (n = 2). Conclusion: Incidence of newly developed PI in chordomas and parasellar meningiomas following PBT for adult patients after median initial follow up of 2 years was low, however extended follow up data are necessary. Presentation: 6/1/2024