Publications by authors named "C Gocke"

Acute promyelocytic leukemia (APL) accounts for approximately 10-15% of newly diagnosed acute myeloid leukemia cases and presents with coagulopathy and bleeding. Prompt diagnosis and treatment are required to minimize early mortality in APL as initiation of all-trans retinoic acid therapy rapidly reverses coagulopathy. The fusion is a hallmark of APL and its rapid identification is essential for rapid initiation of specific treatment to prevent early deaths from coagulopathy and bleeding and optimize patient outcomes.

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Detecting somatic structural variants (SVs), copy number variants (CNVs), and mutations in bone and soft tissue tumors is essential for accurately diagnosing, treating, and prognosticating outcomes. Optical genome mapping (OGM) holds promise to yield useful data on SVs and CNVs but requires fresh or snap-frozen tissues. This study aimed to evaluate the clinical utility of data from OGM compared with current standard-of-care cytogenetic testing.

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Article Synopsis
  • The study examined the rates of brain and thalamic volume loss in patients with relapsing-remitting multiple sclerosis (RRMS) using MRI data from healthy individuals and MS patients.
  • Results showed that early-phase RRMS patients experienced significantly greater brain volume loss compared to those in later phases, with even more drastic differences in thalamic volume loss.
  • This suggests that MS-related brain volume loss is more pronounced in the early stages of the disease, highlighting the importance of early intervention for better patient outcomes.
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  • The study reviewed six pediatric osteosarcoma patients with brain metastases at Johns Hopkins Hospital, revealing a grim median survival of just 2.5 months post-diagnosis.
  • Despite various treatments like chemotherapy, surgery, and radiation, most outcomes were fatal, although one patient showed a remarkable 13-month survival with a combination treatment, suggesting the potential of multimodal therapies.
  • The findings stress the importance of careful monitoring for neurological symptoms and highlight the need for further research into new treatment strategies and the biology of metastasis to improve patient outcomes.
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Purpose: Clinical validation of "BrainLossNet", a deep learning-based method for fast and robust estimation of brain volume loss (BVL) from longitudinal T1-weighted MRI, for the detection of accelerated BVL in multiple sclerosis (MS) and for the discrimination between MS patients with versus without disability progression.

Materials And Methods: A longitudinal normative database of healthy controls (n = 563), two mono-scanner MS cohorts (n = 414, 156) and a mixed-scanner cohort acquired for various indications (n = 216) were included retrospectively. Mean observation period from the baseline (BL) to the last follow-up (FU) MRI scan was 2-3 years.

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