Little, Jason T.

Functional magnetic resonance imaging (fMRI) with blood oxygen level-dependent (BOLD) technique is useful for preoperative mapping of brain functional networks in tumor patients, providing reliable in vivo detection of eloquent cortex to help reduce the risk of postsurgical morbidity. BOLD task-based fMRI (tb-fMRI) is the most often used noninvasive method that can reliably map cortical networks, including those associated with sensorimotor, language, and visual functions. BOLD resting-state fMRI (rs-fMRI) is emerging as a promising ancillary tool for visualization of diverse functional networks. Although fMRI is a powerful tool that can be used as an adjunct for brain tumor surgery planning, it has some constraints that should be taken into consideration for proper clinical interpretation. BOLD fMRI interpretation may be limited by neurovascular uncoupling (NVU) induced by brain tumors. Cerebrovascular reactivity (CVR) mapping obtained using breath-hold methods is an effective method for evaluating NVU potential.

Purpose Imaging changes in the pituitary volume during pregnancy remains scantly researched. This study set out to assess the differences in total, anterior, and posterior pituitary volume in pregnant women compared to nulliparous and post-partum women. Materials and Methods A retrospective review was completed of women that had undergone MRI imaging of the brain. Patients were divided into three cohorts: pregnant, nulliparous, and post-partum (defined as being within 12 months of delivery). Anterior and posterior pituitary volumes were manually measured. Results 171 patients were included, of which 68 were pregnant, 52 were post-partum, and 51 were nulliparous. The average anterior (621.0 ± 171.6 mm 3 ) and total (705.4 ± 172.2 mm 3 ) pituitary volumes were significantly larger in pregnant patients than nulliparous women (522.6 ± 159.8 mm 3 and 624.5 ± 163.7 mm 3 , respectively) ( p = .002 and p = .01, respectively). The posterior pituitary volume was significantly smaller in pregnant women (84.4 ± 32.9 mm 3 ) compared to both post-partum (101.2 ± 42.0 mm 3 ) and nulliparous (102.0 ± 46.1 mm 3 ) women ( p = .02 for both). Conclusions The anterior and total pituitary volumes are significantly larger during pregnancy persisting into the post-partum period. The posterior pituitary volume, conversely, decreases during pregnancy, and returns to its normal size in the post-partum period.

OBJECTIVE The aim of this study was to report the treatment course of histologically confirmed metastases to the pituitary gland (pituitary metastasis). METHODS The Mayo data explorer was used to find patients with pituitary metastasis. Twenty-one patients were identified between the years 2001 and 2021, and their data were retrospectively collected. RESULTS The most common primary cancer origin was lung in men (45%) and breast in women (33%). The median age was 66 years (IQR 56–68 years). Patients presented with headache (67% [14/21]), vision problems (86% [18/21]), anterior hypopituitarism (71% [15/21]), and arginine vasopressin deficiency (38% [8/21]). Pituitary metastases were found before the diagnosis of the primary cancer in 5 patients (24%). The mean ± SD tumor size was 2.0 ± 0.7 cm, and 90% (19/21) presented as a solitary pituitary mass with no other intracranial metastatic lesions. Common radiological features were pituitary stalk thickening (90% [19/21]), cavernous sinus involvement (71% [15/21]), and constriction at the diaphragma sellae (52% [11/21]). Transsphenoidal surgery was performed in 20 patients, and subtotal resection was most frequently attained (76% [16/21]). Fourteen patients (67%) had adjuvant radiation therapy, and 15 patients (71%) were treated with systemic therapy. The median time from surgery to the initiation of radiation therapy was 16 days (IQR 11–21 days), and that from surgery to the initiation of systemic therapy was 5.0 months (IQR 1.5–14 months). During management, headaches improved in 57% (8/14) and vision problems improved in 61% (11/18) of cases; new hypopituitarism occurred in 5 patients. Six patients developed recurrence, and the median progression-free survival was 24 months (95% CI 5.4–43 months). After recurrence, 1 patient with adenoid cystic carcinoma was treated with rescue radiotherapy twice, and 4 patients responded well to systemic therapy. The median overall survival (OS) was 25 months (95% CI 7.1–43 months). The mean OS was better in patients with neuroendocrine lung tumor (261 months) and papillary thyroid carcinoma (80 months) and worse in patients with small cell lung cancer (4 months) and unknown origin (5 months). CONCLUSIONS Surgery with or without adjuvant radiotherapy is effective for mass reduction, rapid symptomatic improvement of vision and headaches, and definitive diagnosis. Even after local tumor control failure, some patients still benefit from radiation and/or systemic therapy.

A full-term female was admitted at 3 days of life with a worsening rash since birth, concerning for infection. She developed clinical seizures and was transferred to our facility. She was admitted to the pediatric hospital medicine service and diagnostic workup was expanded with several specialists consulted. Presumptive diagnosis was made clinically, with definitive diagnosis established thereafter.

Background Computed tomography (CT) angiography collateral score (CTA-CS) is an important clinical outcome predictor following mechanical thrombectomy for ischemic stroke with large vessel occlusion (LVO). The present multireader study aimed to evaluate the performance of e-CTA software for automated assistance in CTA-CS scoring. Materials and Methods Brain CTA images of 56 patients with anterior LVO were retrospectively processed. Twelve readers of various clinical training, including junior neuroradiologists, senior neuroradiologists, and neurologists graded collateral flow using visual CTA-CS scale in two sessions separated by a washout period. Reference standard was the consensus of three expert readers. Duration of reading time, inter-rater reliability, and statistical comparison of readers’ performance metrics were analyzed between the e-CTA assisted and unassisted sessions. Results e-CTA assistance resulted in significant increase in mean accuracy (58.6% to 67.5%, p = 0.003), mean F1 score (0.574 to 0.676, p = 0.002), mean precision (58.8% to 68%, p = 0.007), and mean recall (58.7% to 69.9%, p = 0.002), especially with slight filling deficit (CTA-CS 2 and 3). Mean reading time was reduced across all readers (103.4 to 59.7 s, p = 0.001), and inter-rater agreement in CTA-CS assessment was increased (Krippendorff's alpha 0.366 to 0.676). Optimized occlusion laterality detection was also noted with mean accuracy (92.9% to 96.8%, p = 0.009). Conclusion Automated assistance for CTA-CS using e-CTA software provided helpful decision support for readers in terms of improving scoring accuracy and reading efficiency for physicians with a range of experience and training backgrounds and leading to significant improvements in inter-rater agreement.

Introduction There is increased interest in the use of artificial intelligence-based (AI) software packages in the evaluation of neuroimaging studies for acute ischemic stroke. We studied whether, compared to standard image interpretation without AI, Brainomix e-ASPECTS software improved interobserver agreement and accuracy in detecting ASPECTS regions affected in anterior circulation LVO. Methods We included 60 consecutive patients with anterior circulation LVO who had TICI 3 revascularization within 60 minutes of their baseline CT. A total of 16 readers, including senior neuroradiologists, junior neuroradiologists and vascular neurologists participated. Readers interpreted CT scans on independent workstations and assessed final ASPECTS and evaluated whether each individual ASPECTS region was affected. Two months later, readers again evaluated the CT scans, but with assistance of e-ASPECTS software. We assessed interclass correlation coefficient for total ASPECTS and interobserver agreement with Fleiss’ Kappa for each ASPECTS region with and without assistance of the e-ASPECTS. We also assessed accuracy for the readers with and without e-ASPECTS assistance. In our assessment of accuracy, ground truth was the 24 hour CT in this cohort of patients who had prompt and complete revascularization. Results Interclass correlation coefficient for total ASPECTS without e-ASPECTS assistance was 0.395, indicating fair agreement compared, to 0.574 with e-ASPECTS assistance, indicating good agreement (P < 0.01). There was significant improvement in inter-rater agreement with e-ASPECTS assistance for each individual region with the exception of M6 and caudate. The e-ASPECTS software had higher accuracy than the overall cohort of readers (with and without e-ASPECTS assistance) for every region except the caudate. Conclusions Use of Brainomix e-ASPECTS software resulted in significant improvements in inter-rater agreement and accuracy of ASPECTS score evaluation in a large group of neuroradiologists and neurologists. e-ASPECTS software was more predictive of final infarct/ASPECTS than the overall group interpreting the CT scans with and without e-ASPECTS assistance.