Brain Tumor Segmentation for Multi-Modal MRI with Missing Information.

Deep convolutional neural networks (DCNNs) have shown promise in brain tumor segmentation from multi-modal MRI sequences, accommodating heterogeneity in tumor shape and appearance. The fusion of multiple MRI sequences allows networks to explore complementary tumor information for segmentation. However, developing a network that maintains clinical relevance in situations where certain MRI sequence(s) might be unavailable or unusual poses a significant challenge. While one solution is to train multiple models with different MRI sequence combinations, it is impractical to train every model from all possible sequence combinations. In this paper, we propose a DCNN-based brain tumor segmentation framework incorporating a novel sequence dropout technique in which networks are trained to be robust to missing MRI sequences while employing all other available sequences. Experiments were performed on the RSNA-ASNR-MICCAI BraTS 2021 Challenge dataset. When all MRI sequences were available, there were no significant differences in performance of the model with and without dropout for enhanced tumor (ET), tumor (TC), and whole tumor (WT) (p-values 1.000, 1.000, 0.799, respectively), demonstrating that the addition of dropout improves robustness without hindering overall performance. When key sequences were unavailable, the network with sequence dropout performed significantly better. For example, when tested on only T1, T2, and FLAIR sequences together, DSC for ET, TC, and WT increased from 0.143 to 0.486, 0.431 to 0.680, and 0.854 to 0.901, respectively. Sequence dropout represents a relatively simple yet effective approach for brain tumor segmentation with missing MRI sequences.

A multimodal approach to reducing post-caesarean opioid use: a quality improvement initiative.

OBJECTIVE: To evaluate the impact of a QI initiative to reduce post-caesarean opioid use. DESIGN: Retrospective cohort study. SETTING: Academic hospital in the USA. POPULATION: Women over 18 years undergoing caesarean section. METHODS: A quality improvement (QI) initiative titled Reduced Option for Opioid Therapy (ROOT) was implemented in women undergoing caesarean section. The intervention included implementation of a postpartum order set maximising the use of scheduled NSAIDs and acetaminophen. Additionally, nursing education promoted non-opioid therapy as first-line, with opioids reserved for breakthrough pain. Performance feedback was provided to nursing staff on a bimonthly basis. Post-caesarean opioid use was reviewed in the 6 months before and after implementation of ROOT. MAIN OUTCOME MEASURES: The primary outcome was the total morphine milligram equivalents (MME) consumed during the postpartum admission. Secondary outcomes included opioid use per postoperative day, the proportion of opioid-free admissions, the percentage of patients discharged with a prescription for opioids, prescription size, and pain scores. RESULTS: Following implementation of ROOT, median inpatient opioid use decreased by more than 60%, from 75 to 30 MME per admission (P < 0.001). The proportion of opioid-free admissions increased from 12.6% pre-intervention to 30.7% post-intervention (P < 0.001). Additionally, the median opioid dose prescribed at discharge decreased in the post-intervention cohort, and the proportion of patients discharged without an opioid prescription increased. The reduction in opioids was associated with a slight decrease in patient-reported pain scores. CONCLUSIONS: Implementation of ROOT significantly reduced opioid use while achieving comparable pain control. TWEETABLE ABSTRACT: Nursing education, and use of an order set prioritising non-opioid analgesics reduces post-caesarean opioid use.

Changes in prostate cancer survival among insured patients in relation to USPSTF screening recommendations.

BACKGROUND: To investigate the effects of the U.S. Preventive Services Task Force's (USPSTF) 2012 recommendation against prostate-specific antigen (PSA)-based screening for prostate cancer on survival disparities based on insurance status. Prior to the USPSTF's 2012 screening recommendation, previous studies found that insured patients with prostate cancer had better outcomes than uninsured patients. METHODS: Using the SEER 18 database, we examined prostate cancer-specific survival (PCSS) based on diagnostic time period and insurance status. Patients were designated as belonging to the pre-USPSTF era if diagnosed in 2010-2012 or post-USPSTF era if diagnosed in 2014-2016. PCSS was measured with the Kaplan-Meier method, while disparities were measured with the Cox proportional hazards model. RESULTS: During the pre-USPSTF era, uninsured patients experienced worse PCSS compared to insured patients (adjusted HR 1.256, 95% CI 1.037-1.520, p = 0.020). This survival disparity was no longer observed during the post-USPSTF era as a result of decreased PCSS among insured patients combined with unchanged PCSS among uninsured patients (adjusted HR 0.946, 95% CI 0.642-1.394, p = 0.780). CONCLUSIONS: Although the underlying reasons are not clear, the USPSTF's 2012 PSA screening recommendation may have hindered insured patients from being regularly screened for prostate cancer and selectively led to worse outcomes for insured patients without affecting the survival of uninsured patients.

Characterization of the anti-inflammatory Lactobacillus reuteri BM36301 and its probiotic benefits on aged mice.

BACKGROUND: The gut microbiota is playing more important roles in host immune regulation than was initially expected. Since many benefits of microbes are highly strain-specific and their mechanistic details remain largely elusive, further identification of new probiotic bacteria with immunoregulatory potentials is of great interest. RESULTS: We have screened our collection of probiotic lactic acid bacteria (LAB) for their efficacy in modulating host immune response. Some LAB are characterized by suppression of TNF-α induction when LAB culture supernatants are added to THP-1 cells, demonstrating the LAB's anti-inflammatory potential. These suppressive materials were not inactivated by heat or trypsin. On the other hand, treatment of THP-1 directly with live bacterial cells identified a group of pro-inflammatory LAB, which stimulated significant production of TNF-α. Among those, we chose the Lactobacillus reuteri BM36301 as an anti-inflammatory strain and the L. reuteri BM36304 as a pro-inflammatory strain, and further studied their in vivo effects. We supplied C57BL/6 mice with these bacteria in drinking water while feeding them a standard diet for 20 weeks. Interestingly, these L. reuteri strains evoked different consequences depending on the gender of the mice. That is, males treated with anti-inflammatory BM36301 experienced less weight gain and higher testosterone level; females treated with BM36301 maintained lower serum TNF-α as well as healthy skin with active folliculogenesis and hair growth. Furthermore, while males treated with pro-inflammatory BM36304 developed higher serum levels of TNF-α and insulin, in contrast females did not experience such effects from this bacteria strain. CONCLUSION: The L. reuteri BM36301 was selected as an anti-inflammatory strain in vitro. It helped mice maintain healthy conditions as they aged. These findings propose the L. reuteri BM36301 as a potential probiotic strain to improve various aspects of aging issues.

Listeria monocytogenes brain abscesses presenting as contiguous, tubular rim-enhancing lesions on Magnetic Resonance Imaging: Case series and literature review.

Listeriosis has more than a 50% mortality when the central nervous system is involved, necessitating rapid diagnosis and treatment. We present four patients with brain abscesses in the setting of diagnosed neurolisteriosis, all of which demonstrated an odd presentation of multiple small, contiguous tubular lesions with rim enhancement on magnetic resonance imaging. Our review of published cases of neurolisteriosis suggests that this may be a useful pattern to identify neurolisteriosis abscesses, allowing earlier detection and therapy.

Active Learning in Brain Tumor Segmentation with Uncertainty Sampling and Annotation Redundancy Restriction.

Deep learning models have demonstrated great potential in medical imaging but are limited by the expensive, large volume of annotations required. To address this, we compared different active learning strategies by training models on subsets of the most informative images using real-world clinical datasets for brain tumor segmentation and proposing a framework that minimizes the data needed while maintaining performance. Then, 638 multi-institutional brain tumor magnetic resonance imaging scans were used to train three-dimensional U-net models and compare active learning strategies. Uncertainty estimation techniques including Bayesian estimation with dropout, bootstrapping, and margins sampling were compared to random query. Strategies to avoid annotating similar images were also considered. We determined the minimum data necessary to achieve performance equivalent to the model trained on the full dataset (α = 0.05). Bayesian approximation with dropout at training and testing showed results equivalent to that of the full data model (target) with around 30% of the training data needed by random query to achieve target performance (p = 0.018). Annotation redundancy restriction techniques can reduce the training data needed by random query to achieve target performance by 20%. We investigated various active learning strategies to minimize the annotation burden for three-dimensional brain tumor segmentation. Dropout uncertainty estimation achieved target performance with the least annotated data.

Effect of neoadjuvant chemotherapy on intraoperative core temperature in patients with breast cancer: a retrospective cohort study.

Background: Clinical evidence suggests that chemotherapeutic agents are associated with neuropathy and peripheral autonomic dysfunction. However, the possible effects of neoadjuvant chemotherapy on intraoperative temperature remain poorly characterised. Methods: We evaluated patients who underwent a mastectomy for breast cancer between April 2016 and July 2020. Propensity scores were used to match patients who received neoadjuvant chemotherapy with those who did not, and intraoperative core temperature patterns were analysed in the matched cohort. The independent associations between vasopressor use and heart rate during general anaesthesia in the matched cohort were also analysed. Results: Data from 1764 patients were analysed (882 patients in each group). Both groups presented a similar pattern of heat redistribution and subsequent rewarming; however, the neoadjuvant chemotherapy group did not reach the same intraoperative plateau temperature as the group that did not receive prior chemotherapy, with differences of up to 0.4°C (95% confidence interval: 0.11-0.63°C; P=0.005). In a subgroup analysis, neuropathy in patients who received neoadjuvant chemotherapy was associated with increased use of vasopressors and higher heart rate. Conclusions: In patients with breast cancer, neoadjuvant chemotherapy is associated with lower plateau core temperatures, increased vasopressor use, and higher heart rates during general anaesthesia, which is more severe in the presence of neuropathy.

Factors Associated with Court Outcomes of Medical Malpractice Litigations Involving Breast Reductions: 1990 to 2020.

BACKGROUND: Up to 7.4% of physicians in the United States face the risk of undergoing medical malpractice litigation each year. Breast reduction operations are performed often, but specific factors of breast reduction malpractice litigation associated with the outcome and indemnity payments to plaintiffs are unknown. METHODS: Using the Westlaw legal database, the authors analyzed plaintiff and defendant characteristics, alleged reasons for malpractice, case outcomes, and payments to plaintiffs among medical malpractice lawsuits involving breast reductions with final jury verdicts or settlements, using logistic regressions. RESULTS: Ninety-six malpractice litigations with jury verdicts or settlements involving breast reduction operations between 1990 and 2020 met the authors' inclusion/exclusion criteria. The average reported plaintiff age was 39 ± 15 years. A total of 28% ± 29.2%, 48% ± 50.0%, and 20% ± 20.8% cases occurred in the 1990 to 1999, 2000 to 2009, and 2010 to 2020 periods, respectively; 15% ± 15.6% of cases were held in New York. Most cases were in favor of defendants [ n = 65 (67.7%)]. Among 14 cases (14.6%) with nipple malpositioning as a sustained injury, eight of them (57.1%) were ruled in favor of plaintiffs. Nipple malpositioning had increased odds of plaintiff verdict or settlement versus defendant verdict (OR, 1.33; 95% CI, 1.03 to 1.74; P = 0.03). Median payments to plaintiffs were $221,348 (range, $4375 to $3,500,000) for plaintiff verdicts and $650,000 (range, $250,000 to $750,000) for settlements. CONCLUSIONS: Most breast reduction malpractice litigations were ruled in favor of defendants. Nipple positioning should be taken into high consideration by plastic surgeons performing breast reductions to avoid malpractice litigation and indemnity payments.

Head and neck tumor segmentation convolutional neural network robust to missing PET/CT modalities using channel dropout.

Objective. Radiation therapy for head and neck (H&N) cancer relies on accurate segmentation of the primary tumor. A robust, accurate, and automated gross tumor volume segmentation method is warranted for H&N cancer therapeutic management. The purpose of this study is to develop a novel deep learning segmentation model for H&N cancer based on independent and combined CT and FDG-PET modalities.Approach. In this study, we developed a robust deep learning-based model leveraging information from both CT and PET. We implemented a 3D U-Net architecture with 5 levels of encoding and decoding, computing model loss through deep supervision. We used a channel dropout technique to emulate different combinations of input modalities. This technique prevents potential performance issues when only one modality is available, increasing model robustness. We implemented ensemble modeling by combining two types of convolutions with differing receptive fields, conventional and dilated, to improve capture of both fine details and global information.Main Results. Our proposed methods yielded promising results, with a Dice similarity coefficient (DSC) of 0.802 when deployed on combined CT and PET, DSC of 0.610 when deployed on CT, and DSC of 0.750 when deployed on PET.Significance. Application of a channel dropout method allowed for a single model to achieve high performance when deployed on either single modality images (CT or PET) or combined modality images (CT and PET). The presented segmentation techniques are clinically relevant to applications where images from a certain modality might not always be available.

Opioid use, misuse, and abuse: a narrative review about interventions to reduce opioid consumption and related adverse events in the perioperative setting.

Opioids remain the most potent and predictable drug available for perioperative analgesia and moderate-to-severe cancer-related pain. However, their efficacy has been questioned in other clinical settings. Moreover, opioids are associated with a wide variety of dose-dependent adverse events, limiting their use. The indiscriminate prescription of opioids has fueled the so-called "opioid epidemic" in the United States and other developed countries. Thus, there has been a significant effort to develop strategies to curtail their unnecessary prescription. Here, we summarize the history, current trends, and new directions in perioperative opioid prescription in an unbiased manner.

Voluntary stopping of eating and drinking in the age of medical assistance in dying: ethical considerations for physicians.

Since 2016, when medical assistance in dying (MAiD) became legal in Canada, healthcare professionals (HCPs) have become familiar with exploring and acting upon patients' wishes to hasten death (WTHD). In contrast to MAiD, the literature on the voluntary stopping of eating and drinking (VSED) is very limited and there are no standards of practice or legal guidance to support HCPs. In this article, the legal and ethical literature as regards VSED is critically reviewed and new standards of practice are proposed.

Effects of Gabapentin Enacarbil on Postoperative Pain After Hip and Knee Arthroplasty: A Placebo-controlled Randomized Trial.

OBJECTIVES: Total joint arthroplasties are among the most common elective procedures performed in the United States, and they are associated with postoperative pain. Gabapentin enacarbil is a prodrug with an extended-release formulation that has been proposed for multimodal postoperative analgesia, but the drug's efficacy for major arthroplasties remains unclear. MATERIALS AND METHODS: We enrolled 60 adult patients scheduled for primary knee or hip arthroplasty expected to remain hospitalized for at least 3 days. Eligible patients were randomly assigned to placebo or gabapentin enacarbil 600 mg twice daily starting the day before surgery continuing for 3 days thereafter.The primary outcome was analyzed using a joint hypothesis framework of pain (0 to 10 verbal response scores) and cumulative opioid consumption (mg of morphine equivalent) within the first 72 hours. Secondary outcomes were nausea and vomiting, pain persisting 90 days after surgery, duration of hospitalization, and early postoperative health status using quality of recovery score (QoR-15). RESULTS: Twenty-eight patient in gabapentin enacarbil group and 32 in placebo group were analyzed. Since pain scores did not differ significantly (difference of means: -0.2 in pain scores; 95% confidence interval: -1.1, 0.7), nor did opioid consumption, conditions for joint hypothesis testing were not met. Moreover, there were no significant differences between groups for secondary outcomes. DISCUSSION: We did not identify statistically significant or clinically meaningful differences in our primary and secondary outcomes related to perioperative use of gabapentin enacarbil in patients having primary hip or knee arthroplasties.

Impact of medical school responses during the COVID-19 pandemic on student satisfaction: a nationwide survey of US medical students.

PURPOSE: Medical schools have faced various challenges in preparing their clinical students for the frontlines of a pandemic. This study investigated medical students' satisfaction with their institutions during the coronavirus disease 2019 (COVID-19) pandemic with the intention of guiding educators in future public health crises. METHODS: In this cross-sectional study surveying students in clinical rotations, the primary outcome was overall satisfaction regarding medical schools' responses to the pandemic, and the four secondary outcomes were school communication, exposure to COVID-19, availability of personal protective equipment, and access to COVID-19 testing. RESULTS: The survey was distributed to ten medical schools, of which 430 students responded for a response rate of 13.0%. While most students were satisfied (61.9%, n=266) with their schools' response, more than one in five (21.9%, n=94) were dissatisfied. Among the four secondary outcomes, communication with students was most predictive of overall satisfaction. CONCLUSION: In future crises, schools can best improve student satisfaction by prioritizing timely communication.

Deep learning-based automatic tumor burden assessment of pediatric high-grade gliomas, medulloblastomas, and other leptomeningeal seeding tumors.

BACKGROUND: Longitudinal measurement of tumor burden with magnetic resonance imaging (MRI) is an essential component of response assessment in pediatric brain tumors. We developed a fully automated pipeline for the segmentation of tumors in pediatric high-grade gliomas, medulloblastomas, and leptomeningeal seeding tumors. We further developed an algorithm for automatic 2D and volumetric size measurement of tumors. METHODS: The preoperative and postoperative cohorts were randomly split into training and testing sets in a 4:1 ratio. A 3D U-Net neural network was trained to automatically segment the tumor on T1 contrast-enhanced and T2/FLAIR images. The product of the maximum bidimensional diameters according to the RAPNO (Response Assessment in Pediatric Neuro-Oncology) criteria (AutoRAPNO) was determined. Performance was compared to that of 2 expert human raters who performed assessments independently. Volumetric measurements of predicted and expert segmentations were computationally derived and compared. RESULTS: A total of 794 preoperative MRIs from 794 patients and 1003 postoperative MRIs from 122 patients were included. There was excellent agreement of volumes between preoperative and postoperative predicted and manual segmentations, with intraclass correlation coefficients (ICCs) of 0.912 and 0.960 for the 2 preoperative and 0.947 and 0.896 for the 2 postoperative models. There was high agreement between AutoRAPNO scores on predicted segmentations and manually calculated scores based on manual segmentations (Rater 2 ICC = 0.909; Rater 3 ICC = 0.851). Lastly, the performance of AutoRAPNO was superior in repeatability to that of human raters for MRIs with multiple lesions. CONCLUSIONS: Our automated deep learning pipeline demonstrates potential utility for response assessment in pediatric brain tumors. The tool should be further validated in prospective studies.

Marginal improvement in survival among patients diagnosed with metastatic prostate cancer in the second-line antiandrogen therapy era.

Since 2004, multiple blockbuster drugs have been approved for men with metastatic prostate cancer. Nevertheless, it has been reported that no improvement in survival was observed between 2004 and 2009. Herein, we have analyzed the SEER database to assess the survival outcome of metastatic prostate cancer patients since 2000. The results demonstrated that there was an improvement in both overall and prostate cancer-specific survival for 4 months among men diagnosed with metastatic prostate cancer from 2010 to 2016 when compared to those in the pre-2010 period. Interestingly, this survival benefit was limited to patients with bone and visceral metastasis (M1b and M1c stages). Collectively, our observation suggests that despite the new treatment agents such as second-line antiandrogen therapies introduced in the modern era, the improvement in survival of metastatic prostate cancer patients has been surprisingly small.

Acute Posterior Multifocal Placoid Pigment Epitheliopathy Associated with Gastrointestinal Stromal Tumor and Hurthle Cell Tumor.

Acute posterior multifocal placoid pigment epitheliopathy (APMPEE) is a chorioretinal inflammatory disease of unknown origin. Patients usually present with a rapid loss of central/paracentral vision over the course of a week in both eyes. The fundus exhibits rapid appearance of multiple deep subretinal yellow-white, flat lesions at the RPE/choriocapillaris level. This in turn causes changes of both the ellipsoid zone and RPE which can result in permanent central vision loss. The pathogenesis is controversial but is associated with a recent viral illness and can involve the central nervous system with concern for cerebral vasculitis. Rare reports of APMPEE associated with systemic vasculitis such as Wegener's granulomatosis and malignancy such as clear cell renal carcinoma have been reported. We report a case of APMPEE with concurrent diagnosis of gastrointestinal stromal tumor and Hurthle cell tumor. While such association may well be coincidental, the near simultaneous presentation raised our suspicion for potential association.

IOP Elevation After Cataract Surgery: Results for Residents and Senior Staff at Henry Ford Health System.

PURPOSE: To determine the incidence of intraocular pressure (IOP) elevation on postoperative day 1 (POD1) after cataract surgery performed by resident surgeons compared with attending surgeons and to examine the influence of associated variables on the incidence of postoperative IOP elevation. PATIENTS AND METHODS: Retrospective review of 2472 consecutive 2.2 to 2.8 mm temporal clear corneal cataract extractions by phacoemulsification performed by either residents or attending surgeons at Henry Ford Health System. Fellow eyes were excluded, resulting in 1847 eyes. IOP measurements of >40, >30, and >23 mm Hg were noted along with incremental IOP elevations of ≥10 and 20 mm Hg over preoperative/baseline IOP. Associated variables included: age, sex, diabetes mellitus, hypertension, glaucoma, glaucoma suspect, uveitis, prior ocular trauma, and vitreous loss at surgery. RESULTS: Resident-performed cataract surgery was associated with statistically significant higher rates of IOP elevation in all categories and in all clinical situations known to be associated with postoperative IOP spike, that is, vitreous loss at surgery, prior ocular trauma, and preexisting glaucoma. CONCLUSIONS: The incidence of postoperative day 1 IOP elevation after phacoemulsification performed by resident surgeons was 2 to 5 times that of experienced cataract surgeons. Variables including vitreous loss at surgery, prior ocular trauma, preexisting glaucoma, glaucoma suspect status, and male sex were significant contributors. Consideration for prophylactic IOP lowering is advised in high-risk patients.