Publications by authors named "Lotz J"

Introduction: Chronic low back pain (cLBP) is a leading cause of disability with disproportionately high impacts on marginalized populations, including non-English-preferring patients. These patients face significant barriers to accessing care and adhering to self-management strategies due to language barriers, socioeconomic challenges, and cultural differences. Despite the emphasis on self-management for cLBP, limited research has focused on understanding the specific needs and preferences of Spanish- and Cantonese-preferring patients.

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Background: The onset of hematological malignancies can lead to acute and critical situations. It can also result in adverse outcome despite the significant advancements made in their therapeutic management. In this context, advance care planning and, in particular, advance directives (AD) play an essential role.

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  • - The PROSurvival project focuses on enhancing predictions for prostate cancer recurrence-free survival by using federated machine learning to analyze whole slide images along with specific clinical data while ensuring data privacy compliance.
  • - Anonymized datasets created from image and clinical data will adhere to the General Data Protection Regulation (GDPR) and follow principles for data accessibility and interoperability, utilizing the DICOM standard for images and a modified version of the oBDS standard for clinical data.
  • - The project faced challenges regarding clinical data anonymization and navigating various approval processes from data protection officers at different clinics, but the new German Health Data Utilization Act is anticipated to streamline future data sharing efforts.
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Background: Thyroid-blocking immunoglobulins (TBI) are present in 10%-15% of patients with autoimmune thyroid disease (AITD). TBI affect thyroid function. The analytical performance of a novel TBI bioassay was evaluated.

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Objective: People commonly cope with chronic low back pain (cLBP) by ignoring and distraction. Can mindful interoceptive exposure to the pain sensation itself and its phenomenological components be an alternative approach?

Methods: Single-arm feasibility study in patients with cLBP using a 2-minute attention exercise guided by a smartphone app several times per day over 8 weeks. We assessed feasibility, pre/post pain, function, and psychological parameters using mixed methods: standard questionnaires, ecological momentary assessment, and exit interviews that included micro-phenomenology technique and subsequent reflexive thematic qualitative analysis.

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This study investigated gender- and personality-specific differences in academic qualifications, research motivation, and options to increase the attractiveness of leadership positions in radiology.A validated questionnaire with 66 questions was distributed via the German Roentgen Society and individually sent to 4,500 radiologists in Germany. Participants were asked about their gender.

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  • Chronic low back pain (cLBP) often leads to avoidance or distraction strategies, but the Mind Your Pain (MyP) app shows promise as a mind-body intervention for relief.
  • A study with 29 participants assessed the app's effectiveness over 8 weeks, finding significant reductions in pain using the Pain, Enjoyment of Life and General Activity Scale (PEG).
  • Results indicated that participants who responded well to MyP displayed increased activation in specific brain areas related to pain, suggesting potential neural biomarkers for cLBP management through mind-body approaches.
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Background Context: There are a number of risk factors- from biological, psychological, and social domains- for non-specific chronic low back pain (cLBP). Many cLBP treatments target risk factors on the assumption that the targeted factor is not just associated with cLBP but is also a cause (i.e, a causal risk factor).

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  • * Researchers aimed to determine the role of antibody-dependent cell-mediated cytotoxicity (ADCC) in avelumab's effectiveness and whether variations in the FcγR3A receptor can predict patient responses.
  • * Findings confirmed the presence of FcγR3A+ natural killer (NK) cells in PD-L1-expressing GTN, and that avelumab enhances NK cell activity, further suggesting higher affinity FcγR3A variants may
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Purpose: To evaluate atezolizumab combined with platinum-based chemotherapy (CT) followed by maintenance niraparib for late-relapsing recurrent ovarian cancer.

Methods: The multicenter placebo-controlled double-blind randomized phase III ENGOT-OV41/GEICO 69-O/ANITA trial (ClinicalTrials.gov identifier: NCT03598270) enrolled patients with measurable high-grade serous, endometrioid, or undifferentiated recurrent ovarian cancer who had received one or two previous CT lines (most recent including platinum) and had a treatment-free interval since last platinum (TFIp) of >6 months.

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Objectives: To develop an automatic segmentation model for solid renal tumors on contrast-enhanced CTs and to visualize segmentation with associated confidence to promote clinical applicability.

Materials And Methods: The training dataset included solid renal tumor patients from two tertiary centers undergoing surgical resection and receiving CT in the corticomedullary or nephrogenic contrast media (CM) phase. Manual tumor segmentation was performed on all axial CT slices serving as reference standard for automatic segmentations.

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Foundational models, pretrained on a large scale, have demonstrated substantial success across non-medical domains. However, training these models typically requires large, comprehensive datasets, which contrasts with the smaller and more specialized datasets common in biomedical imaging. Here we propose a multi-task learning strategy that decouples the number of training tasks from memory requirements.

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Introduction: Modic changes (MC) are bone marrow lesions of vertebral bones, which can be detected with magnetic resonance imaging (MRI) adjacent to degenerated intervertebral discs. Defined by their appearance on T1 and T2 weighted images, there are three interconvertible types: MC1, MC2, and MC3. The inter-observer variability of the MRI diagnosis is high, therefore a diagnostic serum biomarker complementing the MRI to facilitate diagnosis and follow-up would be of great value.

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  • The alignment of tissue in whole-slide images (WSI) is essential for both research and clinical purposes, and recent advancements in computing and deep learning have changed how these images are analyzed.
  • The ACROBAT challenge was organized to evaluate various WSI registration algorithms using a large dataset of 4,212 WSIs from breast cancer patients, aiming to align tissue stained with different methods.
  • The study found that various WSI registration methods can achieve high accuracy and identified specific clinical factors that affect their performance, helping researchers choose and improve their analysis techniques.
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Introduction: The scapholunate interosseous ligament is pivotal for wrist stability, and its impairment can result in instability and joint degeneration. This study explores the application of real-time MRI for dynamic assessment of the scapholunate joint during wrist motion with the objective of determining its diagnostic value in efficacy in contrast to static imaging modalities.

Materials And Methods: Ten healthy participants underwent real-time MRI scans during wrist ab/adduction and fist-clenching maneuvers.

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To assess epidemiology, clinical presentation, treatment and overall survival of adult patients with renal sarcomas, the 2004-2016 SEER and NCDB databases were queried for adult patients diagnosed with renal sarcoma, calculating average annual age-adjusted incidence rates (AAIR) and average annual percentage change (AAPC) as well as overall survival (OS). In n = 1279 included renal sarcoma patients, AAIR remained constant over the study period (average 0.53 cases/1million; AAPC = 0.

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Objective: The University of California, San Francisco (UCSF) Core Center for Patient-centric, Mechanistic Phenotyping in Chronic Low Back Pain (REACH) is one of the three NIH Back Pain Consortium (BACPAC) Research Programs Mechanistic Research Centers (MRCs). The goal of UCSF REACH is to define cLBP phenotypes and pain mechanisms that can lead to effective, personalized treatments for patients across the population. The primary objective of this research project is to address the critical need for new diagnostic and prognostic markers, and associated patient classification protocols for chronic low back pain (cLBP) treatment.

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Objectives: To distinguish histological subtypes of renal tumors using radiomic features and machine learning (ML) based on multiphase computed tomography (CT).

Material And Methods: Patients who underwent surgical treatment for renal tumors at two tertiary centers from 2012 to 2022 were included retrospectively. Preoperative arterial (corticomedullary) and venous (nephrogenic) phase CT scans from these centers, as well as from external imaging facilities, were manually segmented, and standardized radiomic features were extracted.

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  • * Out of 410 oncologists surveyed in France, 75% viewed AD as relevant, but only 36% regularly inform their patients about them, often due to concerns that AD discussions may cause anxiety.
  • * There is a notable division among oncologists regarding the usefulness and safety of AD, with many preferring to designate a "person of trust" over formal AD.
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Background: Progressive interventions have recently improved programmatic outcomes in drug-resistant tuberculosis (DR-TB) care in South Africa (SA). Amidst these, a shorter regimen was introduced in 2017 with weak evidence, and has shown mixed results. Outcomes still fall short of national targets, and the coronavirus disease 2019 pandemic has undermined progress to date.

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Background: Tools, such as the STarTBack Screening Tool (SBT), have been developed to identify risks of progressing to chronic disability in low back pain (LBP) patients in the primary care population. However, less is known about predictors of change in function after treatment in the specialty care population.

Objective: We pursued a retrospective observational cohort study involving LBP patients seen in a multidisciplinary specialty clinic to assess which features can predict change in function at follow-up.

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  • A 42-year-old woman experienced a misdiagnosis of post-COVID-19 syndrome over a year, while she had actual paraneoplastic anti-NMDA receptor encephalitis and neuroborreliosis, following a tick bite.
  • Upon admission, she exhibited severe symptoms including fever, confusion, and unsteady gait, leading to cerebrospinal fluid analysis that confirmed neuroborreliosis and anti-NMDA receptor antibodies.
  • Her condition improved significantly with antibiotic treatment, plasmapheresis, and surgical removal of an ovarian teratoma, emphasizing the importance of recognizing various neurological conditions beyond COVID-19.
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  • The study aims to validate the use of magnetic resonance spectroscopy (MRS) as a reliable diagnostic tool for identifying painful lumbar discs, comparing it with the existing gold standard, low-pressure provocative discography (PD).
  • Results indicate that MRS-derived measures, specifically NOCISCORE and SI-SCORE, demonstrate high accuracy and reliability in differentiating between painful and non-painful discs, achieving 100% sensitivity and specificity.
  • The findings suggest that MRS can effectively predict disc pain and degeneration, providing a non-invasive alternative with potential clinical benefits for patient management.
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