Introduction: Head and neck squamous cell carcinoma (HNSCC) is the seventh most common type of cancer in the world. Metastases occur in up to 40 % of cases and bones are the second most frequent site. Metastases in extremities are uncommon with very few publications covering distal lower-limb bone metastasis.
Case Presentation: Here we report the case of a patient with HNSCC managed by induction chemotherapy, surgery and adjuvant chemo-radiotherapy. During the adjuvant treatment, the patient presented pain in the right tibia, with additional workup revealing a distal lower-limb bone metastasis which had remained undetected during the recommended standard workup for HNSCC.
Discussion: Current guidelines request that FDG PET-CT is performed down to the popliteal fossae. The undetected metastasis led to overtreatment of the patient. Systematic review of the literature showed only six cases of head and neck cancer's distal lower-limb metastasis which are eligible for discussion.
Conclusion: Although rare, physicians should keep in mind that as recommended FDG PET-CT does not extend below the popliteal fossae, metastases could be missed and therefore lead to inappropriate treatment.
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http://dx.doi.org/10.1016/j.ijscr.2024.110677 | DOI Listing |
Pharmaceutics
December 2024
Department of Urology and Department of Nuclear Medicine, Shanghai Pudong Hospital, Fudan University Pudong Medical Center, Shanghai 201399, China.
Background/objectives: The purpose of this study was to develop the gemcitabine-loaded drug-eluting beads (G-DEBs) for transarterial chemoembolization (TACE) in rabbit renal tumors and to evaluate their antitumor effect using 2-deoxy-2-[(18)F]fluoro-D-glucose positron emission tomography/X-ray computed tomography (F-FDG PET/CT).
Methods: DEBs were prepared by polyvinyl alcohol-based macromer crosslinked with -acryl tyrosine and ,'-methylenebis(acrylamide). Gemcitabine was loaded through ion change to obtain G-DEBs.
Pharmaceuticals (Basel)
December 2024
Clinical Cooperation Unit Nuclear Medicine, German Cancer Research Center, Im Neuenheimer Feld 280, 69120 Heidelberg, Germany.
Molecular imaging is a growing field, driven by technological advances, such as the improvement of PET-CT scanners through the introduction of digital detectors and scanners with an extended field of view, resulting in much higher sensitivity and a variety of new specific radiopharmaceuticals that allow the visualization of specific molecular pathways and even theragnostic approaches. In oncology, the development of dedicated tracers is crucial for personalized therapeutic approaches. Novel peptides allow the visualization of many different targets, such as PD-1 and PD-L1 expression, chemokine expression, HER expression, T-cell imaging, microenvironmental imaging, such as FAP imaging, and many more.
View Article and Find Full Text PDFDiagnostics (Basel)
December 2024
Department of Biomedicine and Prevention, University of Rome "Tor Vergata", Via Montpellier 1, 00133 Rome, Italy.
Cutaneous malignant melanoma (MM) is the most aggressive form of skin cancer, associated with high mortality and rising incidence rates in Europe despite prevention efforts. Nodular MM, the most aggressive subtype, often mimics other skin tumors, complicating diagnosis. We present the case of a 66-year-old woman with a large, ulcerated tumor beneath the left scapula, along with multiple nodular lesions on the left arm and chest.
View Article and Find Full Text PDFDiagnostics (Basel)
December 2024
North Bristol NHS Foundation Trust, Bristol BS10 5NB, UK.
Sarcoidosis is a multisystem granulomatous inflammatory disorder, of unknown aetiology, which causes a wide spectrum of clinical phenotypes. It can present at any age, most commonly between 20 and 60 years, with a roughly equal sex distribution. Diagnosis is often delayed due to multiple diagnostic mimics, particularly joint disease.
View Article and Find Full Text PDFDiagnostics (Basel)
December 2024
Department of Clinical Physiology and Nuclear Medicine, Rigshospitalet, University of Copenhagen, Blegdamsvej 9, 2100 Copenhagen, Denmark.
Background/objectives: Brown adipose tissue (BAT) plays a crucial role in energy expenditure and thermoregulation and has thus garnered interest in the context of metabolic diseases. Segmentation in medical imaging is time-consuming and prone to inter- and intra-operator variability. This study aims to develop an automated BAT segmentation method using the nnU-Net deep learning framework, integrated into the TotalSegmentator software, and to evaluate its performance in a large cohort of patients with lymphoma.
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