Citations

The intersection between radiomics, the computational analysis of imaging data, and machine learning (ML) may lead to new developments in the diagnosis, prognosis, and management of diseases. For spinal tumors specifically, applications of these fields appear promising. In this educational narrative review, we provide a summary of the current advancements in radiomics and artificial intelligence (AI), as well as applications of both fields in the diagnosis and management of spinal tumors. We also provide a suggested workflow of radiomics and machine learning analysis of spinal tumors for researchers, including a list and description of commonly used radiomic features. Future directions in the field of radiomics and machine learning applications to spinal tumors may involve validating already proposed algorithms with larger datasets, ensuring that all computational applications to patient care maintain high ethical standards, and continuing work in developing novel and highly accurate computational techniques to enhance patient outcomes.

Invasive lobular breast carcinoma (ILC), the most common special histological subtype of breast cancer, is characterized by nearly universal expression of estrogen receptor alpha (ER) and unique sites of metastases, neither of which is fully recapitulated by genetically engineered mouse models. Using reporter-labeled ILC mouse xenografts, herein we used mammary fat pad, tail vein and intracardiac orthotopic growth to analyze spontaneous and experimental metastasis and gene expression. We observed ER-positive primary tumors with single-file histology and collagen deposition, and spontaneous metastasis from the mammary fat pad to bones, ovaries, and brain including the leptomeninges, thereby closely mirroring the growth and metastatic spread of human ILC. Brain metastases showed strong ER staining, confirmed by sequencing analyses which identified estrogen signaling as top activated pathway, and the lesions exhibited robust response to endocrine therapy. In summary, we report endocrine responsive mammary fat pad, tail vein and intracardiac xenografts that faithfully demonstrate unique ILC features and can serve as invaluable pre-clinical translational platforms for validating candidate ILC genetic drivers and testing novel therapeutics.

Background: Primary spine/pelvic tumors are aggressive, and en bloc resection is often essential. While stereotactic navigation is increasingly used for instrumentation in spine surgery, its specific role in tumor resection remains incompletely defined. Purpose: We sought to describe (1) reported rates of achieving negative margins, (2) local recurrence, (3) complications attributed to navigation, and (4) comparative outcomes from studies involving nonnavigated controls. Methods: We conducted a systematic review according to preferred reporting items for systematic reviews and meta-analysis guidelines. Databases were queried for studies investigating the use of stereotactic navigation in primary spine/pelvic tumor surgery. Outcomes including surgical margin status, local recurrence, and complications were extracted and qualitatively synthesized using a best-evidence approach. Results: Twenty-one studies with 240 patients were included. The mean patient age was 46 years with follow-up of 33.4 months. Tumors were most often located in the sacrum/pelvis (81.3%), followed by the thoracic (8.3%), cervical (5.8%), and lumbar spine (4.6%). Chordoma (31.7%) and chondrosarcoma (27.1%) were the most frequently reported types. Negative surgical margins were achieved in 88.3% of cases. Local recurrence was reported in 16% of patients, with the highest observed in chondrosarcoma (32.4%). Complications occurred in 30.3% of patients; however, only 1% (2 cases) were attributed to navigation use. Two comparative studies examining navigated versus nonnavigated cohorts suggested improved bony margins and lower recurrence risk with navigation. Conclusion: Early studies suggest that stereotactic navigation may be a feasible and safe adjunct for the resection of primary spine/pelvic tumors, particularly in achieving adequate bony margins. However, the current evidence is limited to small retrospective studies with heterogeneity in methodology, tumor type, and follow-up. Level of Evidence: Level IV: Systematic review of level-III and level-IV studies.

ABSTRACT Background Adolescent and young adult (AYA) kidney transplant recipients (KTR) are susceptible to risk‐taking behaviors that peak during transfer from pediatric to adult healthcare, resulting in poorer outcomes. Professional guidelines support healthcare transition (HCT) practices to mitigate this risk; however, HCT perspectives and practices among providers, especially adult providers caring for KTR in the US, have not been widely studied. Methods An online survey of American Society of Transplantation (AST) members was conducted targeting both adult providers (AP) and pediatric providers (PP). Results The survey was completed by 135 respondents (predominantly US), including 61 PP and 74 AP. US respondents who disclosed their center ID represented 30% of all programs. Providers agreed that HCT was important (PP 97%, AP 94%) and a shared responsibility (PP 91% and AP 84%). Respondents to our survey frequently worked within transition programs (PP 70% vs. AP 48%), but the majority did not have a formal HCT policy to guide them (PP 43%, AP 21%). Multidisciplinary transition clinics were rare (PP 27%, AP 23%). Only 64% of PP included targeted HCT education either as part of a routine visit or a HCT session. Perceived barriers to providing HCT interventions were similar in both groups, including a lack of provider resources, outcomes tracking, provider communication, and patient/caregiver feedback. Conclusion Providers recognize the importance of HCT and the joint responsibility of PP and AP but have difficulty following best practices. A multipronged approach will be necessary to address barriers. Our survey reminds us of the gap that persists in providing AYAs with a seamless transfer from pediatric to adult care.

Abstract The purpose of the current study was to identify the influence of individual characteristics on differences in body fat percentage between air displacement plethysmography and dual-energy X-ray absorptiometry (change in body fat percentage) in 360 collegiate student-athletes. Body fat percentage was obtained from air displacement plethysmography and dual-energy X-ray absorptiometry. A 2 (sex)×3 (Brozek body fat percentage, Siri body fat percentage, and dual-energy x-ray absorptiometry body fat percentage) analysis of variance was used to evaluate the difference between the body fat percentages obtained from air displacement plethysmography and dual-energy x-ray absorptiometry in men and women. The agreement between air displacement plethysmography and dual-energy X-ray absorptiometry was evaluated via Bland–Altman plot and linear regression. Multiple linear regression was used to identify the influence of sex, race, height, and body mass on the change in body fat percentages. Dual-energy X-ray absorptiometry yielded greater body fat percentages in both men (4.8±2.8; p < 0.001) and women (2.2±2.9; p < 0.001) compared to air displacement plethysmography measurements. Proportional and systematic biases were observed between air displacement plethysmography and dual-energy X-ray absorptiometry. Race, height, and mass were significant predictors of the body fat percentage difference between air displacement plethysmography and dual-energy X-ray absorptiometry (R 2=0.445, p<0.001, and standard error of the estimate=2.527). The present study suggests that air displacement plethysmography underestimates body fat percentages when compared to dual-energy X-ray absorptiometry and this underestimation may not be the same for every athlete due to their individual characteristics.

Abstract Background S0221 investigated weekly vs every 2 weeks dosing of doxorubicin (A) and cyclophosphamide (C) followed by paclitaxel in patients with high-risk early breast cancer. After an interim analysis, random assignment to the 2 AC arms was stopped for futility, and the trial was modified to study only the paclitaxel schedules. Methods Between December 2003 and November 2010, a total of 2716 patients were randomly assigned in a 2 × 2 factorial design to 15 weeks of weekly A and daily C vs 6 cycles of every 2 weeks AC; and weekly paclitaxel for 12 weeks vs 6 cycles of every 2 weeks paclitaxel. Between January 2011 and January 2012, an additional 578 patients were assigned to 4 cycles of every 2 weeks AC and randomly assigned to weekly vs every 2 weeks paclitaxel. Updated survival was assessed using log-rank tests and Cox regression models. We compared outcomes by breast cancer subtype as well. Results At a median follow-up of 12.1 years, there were no statistically significant differences among the 4 treatment arms in disease-free survival (DFS) (P = .91) or overall survival (P = .34) in the original protocol. Among the 578 patients assigned AC for 4 cycles and randomly assigned to paclitaxel weekly vs every 2 weeks paclitaxel, there were no overall differences in DFS (P = .32) or overall survival (P = .42). Conclusion As there were no statistically significant outcome differences in DFS or overall survival between the studied schedules of AC and paclitaxel with extended follow-up in the original or revised protocol, either paclitaxel schedule may be recommended, with selection based on toxicity, cost, or patient preference.

Background: Functional hypothalamic amenorrhea (FHA) is a common form of secondary amenorrhea caused partly by undernutrition relative to demand. Objective: To compare the dietary nutritional intake between women with FHA and eumenorrheic controls and evaluate micronutrient profiles. Methods: This cross-sectional study included 30 women with FHA and 29 eumenorrheic controls not on hormones. FHA was defined as ≥3 consecutive months of amenorrhea, estradiol of <50 pg/mL, and FSH and LH of <10 mIU/L, excluding other etiologies. A 3-day food diary was collected for dietary analysis, excluding dietary supplements using ESHA Research Food Processor. Results: The mean age of women with FHA and controls was 26.4 years ± 6.2 versus 30.3 years ± 3.7 ( p = 0.002), with no differences in BMI ( p = 0.16) or the waist-to-hip ratio ( p = 0.71). Women with FHA and controls consumed comparable median calorie intake (1784 kcal [1465, 2011] vs. 1732 kcal [1578, 1982], p = 0.62), with no differences in self-reported exercise patterns. Women with FHA consumed more dietary protein (84.2g [74, 112] vs. 74 g [59, 92], p = 0.001) and dietary fiber (30.1 g [22, 43] vs. 17.3 g [15, 23], p = 0.02) versus controls, respectively. When expressed as a percentage of estimated average requirements (% estimated average requirement), women with FHA had higher intakes of vitamin A (105% [45, 219] vs. 43% [21, 86], p = 0.005), vitamin C (201% [139, 351] vs. 107% [75, 190], p = 0.004), and iron (169% [146, 220] vs. 120% [99, 192], p = 0.027) compared with controls. Conclusions: Women with FHA had similar caloric intake to eumenorrheic controls but consumed more dietary protein, fiber, vitamin A, vitamin C, and iron. Future studies should examine the nutritional profiles of women with FHA in relation to long-term health consequences such as bone and vascular health.

Summary Family history of haematological malignancy (FHHM) reflects inherited susceptibility to non‐Hodgkin lymphoma (NHL), but its prognostic significance remains poorly understood. We used a cohort study of 1994 NHL patients to evaluate associations between FHHM and clinical outcomes across lymphoma subtypes. We estimated associations, adjusted for sex and lymphoma‐specific prognostic index, of self‐reported FHHM in a first‐degree relative with overall survival (OS), event‐free survival (EFS) and lymphoma‐specific survival (LSS) using multivariable Cox regression models and with failure to achieve EFS at 24 months (EFS24) using logistic regression. FHHM prevalence was 12.8%, and the median follow‐up among survivors was 12.0 years. FHHM was not associated with OS. In subtype‐specific analyses, FHHM was associated with inferior LSS (hazard ratio [HR] = 1.98, 95% confidence interval [CI] 1.11–3.53) in follicular lymphoma (FL); this association and the association with EFS24 failure strengthened among those treated with front‐line immunochemotherapy (EFS24 failure odds ratio = 2.57, 95% CI 1.08–5.99; LSS HR = 2.68, 95% CI 1.09–6.58). In mantle cell lymphoma, FHHM was associated with inferior EFS (HR = 1.70, 95% CI 1.02–2.85). Interaction testing did not demonstrate significant heterogeneity of FHHM effects by lymphoma subtype. FHHM may be associated with adverse outcomes in select NHL groups, particularly FL. These findings warrant further investigation of germline and environmental factors potentially contributing to more aggressive FLs.