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A case of subcutaneous metastatic malignant melanoma of the left medial ankle: a case report and review of literature.
J Med Case Rep
December 2024
College of Medicine and Life Sciences, Division of Plastic and Reconstructive Surgery, University of Toledo, 3000 Arlington Ave, Toledo, OH, 43614, USA.
Background: Although rare, melanoma confined to the dermis or subcutaneous tissue without evidence of a primary cutaneous site should provoke consideration of melanoma of unknown primary. This diagnosis carries a favorable prognosis when compared with cutaneous metastatic melanoma. Several hypotheses have been proposed for how melanoma of unknown primary develops, two of which were considered in our patient case: (1) spontaneous regression of the primary tumor following metastasis or (2) the traumatic implantation of ectopic melanocytic cells in other tissues, such as the subcutaneous tissue.
View Article and Find Full Text PDFLesion Volume Divided by ADC Measures Is an Independent Prognostic Marker in Colorectal Liver Metastasis Treated by Y90-radioembolization.
In Vivo
December 2024
Department of Radiology and Nuclear Medicine, University Hospital Magdeburg, University of Magdeburg, Magdeburg, Germany.
Background/aim: To assess the ability of apparent diffusion coefficient (ADC) at baseline in predicting overall survival in patients who undergo Y90-radioembolization (Y90-RE) for liver-dominant metastatic colorectal cancer (mCRC) in the salvage situation.
Patients And Methods: A retrospective review of 411 lesions in 63 patients with refractory mCRC treated with Y90-RE was conducted. Manual region of interest (ROI) measurements were applied using a whole lesion and volume method.
Enhancing lesion detection in liver and kidney CT scans via lesion mask selection from two models: A main model and a model focused on small lesions.
Comput Biol Med
December 2024
Electrical and Computer Engineering Department, UC San Diego, La Jolla, CA, USA.
Automated segmentation and detection of tumors in CT scans of the liver and kidney have a significant potential in assisting clinicians with cancer diagnosis and treatment planning. However, current approaches, including state-of-the-art deep learning ones, still face many challenges. Many tumors are not detected by these approaches when tested on public datasets for tumor detection and segmentation such as the Kidney Tumor Segmentation Challenge (KiTS) and the Liver tumor segmentation challenge (LiTS).
View Article and Find Full Text PDFPreoperative and intraoperative laparoscopic liver surface registration using deep graph matching of representative overlapping points.
Int J Comput Assist Radiol Surg
December 2024
Research Center for Medical AI, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China.
Purpose: In laparoscopic liver surgery, registering preoperative CT-extracted 3D models with intraoperative laparoscopic video reconstructions of the liver surface can help surgeons predict critical liver anatomy. However, the registration process is challenged by non-rigid deformation of the organ due to intraoperative pneumoperitoneum pressure, partial visibility of the liver surface, and surface reconstruction noise.
Methods: First, we learn point-by-point descriptors and encode location information to alleviate the limitations of descriptors in location perception.
Lean body weight-based contrast injection protocol in liver CT: optimization of contrast medium dose.
Radiol Med
December 2024
Department of Medical-Surgical Sciences and Translational Medicine, Sapienza University of Rome - Radiology Unit - Sant'Andrea University Hospital, Via Di Grottarossa, 1035-1039, 00189, Rome, Italy.
Objectives: To evaluate liver enhancement and image quality of abdominal CECT examinations acquired with multiple LBW-based contrast medium injection protocols.
Material & Methods: One hundred fifty patients who underwent a clinically indicated CECT examination were prospectively and randomly assigned to one of the following contrast medium injection protocol groups: A, 700 mg iodine(I)/kg of LBW; B, 650 mgI/kg of LBW; and C, 600 mgI/kg of LBW. Liver signal-to-noise ratio (SNR), contrast-to-noise ratio (CNR), and magnitude of contrast enhancement (ΔHU) were calculated.
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