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Study Design: A retrospective cohort study.
Purpose: To investigate the outcomes of balloon kyphoplasty (BKP) for vertebral compression fractures (VCFs) at the distal end or adjacent vertebra of the fused segments in patients with diffuse idiopathic skeletal hyperostosis (DISH).
Overview Of Literature: Vertebral fractures in the midportion of the fused segments in patients with DISH are generally unstable; thus, immobilization is recommended. However, VCFs classified as type A in the AO classification are observed at the distal end and adjacent vertebra of the fused segments, and treatment strategies for VCFs associated with DISH remain controversial.
Methods: The outcomes of 72 patients who underwent BKP for VCFs between 2015 and 2021 were retrospectively investigated. Patients with DISH were assigned to group D (n=21), whereas those without DISH were assigned to group ND (n=51). Back pain, incidence of subsequent adjacent fractures, reoperation rates, and local kyphosis were statistically analyzed.
Results: VCFs in group D occurred at the distal end or adjacent vertebra of the fused segments, and no fractures occurred in the midportion of the fused segment. Back pain improved in both groups, with no significant differences between them. Subsequent adjacent fractures were observed in three of the 21 patients in group D and 11 of the 51 patients in group ND, with no significant difference between them. Reoperation was performed in one patient each in groups D and ND, with no significant difference between the groups. Postoperatively, local kyphosis progressed significantly in group D.
Conclusions: Although local kyphosis is more advanced in patients with DISH, BKP is effective for VCFs at the distal end or adjacent vertebra of the fused segments and may be useful in older patients with high complication rates.
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http://dx.doi.org/10.31616/asj.2023.0316 | DOI Listing |
Indian J Nucl Med
August 2025
Department of Medical Oncology, All India Institute of Medical Sciences, New Delhi, India.
Metastatic renal osteosarcoma is a rare entity. We report a case of a 52-year-old male postright nephrectomy status presented to us with metastatic renal osteosarcoma. 18-fluorine- fluorodeoxyglucose (F-FDG) avid lesions were seen in the right renal bed with extension to adjacent hepatic parenchyma.
View Article and Find Full Text PDFJ Magn Reson Imaging
September 2025
Key Laboratory of Intelligent Medical Imaging of Wenzhou, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.
Background: Tumor deposits (TDs) are an important prognostic factor in rectal cancer. However, integrated models combining clinical, habitat radiomics, and deep learning (DL) features for preoperative TDs detection remain unexplored.
Purpose: To investigate fusion models based on MRI for preoperative TDs identification and prognosis in rectal cancer.
IEEE Trans Neural Netw Learn Syst
September 2025
In industrial scenarios, semantic segmentation of surface defects is vital for identifying, localizing, and delineating defects. However, new defect types constantly emerge with product iterations or process updates. Existing defect segmentation models lack incremental learning capabilities, and direct fine-tuning (FT) often leads to catastrophic forgetting.
View Article and Find Full Text PDFIET Syst Biol
September 2025
School of Computer and Information Techonology, Xinyang Normal University, Xinyang, China.
Accurate polyp segmentation is crucial for computer-aided diagnosis and early detection of colorectal cancer. Whereas feature pyramid network (FPN) and its variants are widely used in polyp segmentation, inherent limitations existing in FPN include: (1) repeated upsampling degrades fine details, reducing small polyp segmentation accuracy and (2) naive feature fusion (e.g.
View Article and Find Full Text PDFFront Med (Lausanne)
August 2025
Department of Computer Engineering, Istanbul Sabahattin Zaim University, Istanbul, Türkiye.
Introduction: Accurate and timely diagnosis of central nervous system infections (CNSIs) is critical, yet current gold-standard techniques like lumbar puncture (LP) remain invasive and prone to delay. This study proposes a novel noninvasive framework integrating handcrafted radiomic features and deep learning (DL) to identify cerebrospinal fluid (CSF) alterations on magnetic resonance imaging (MRI) in patients with acute CNSI.
Methods: Fifty-two patients diagnosed with acute CNSI who underwent LP and brain MRI within 48 h of hospital admission were retrospectively analyzed alongside 52 control subjects with normal neurological findings.