Objective: This study was designed to assess the value of computed tomography (CT) in determining the nature of papillary thyroid microcarcinomas (PTMCs).
Methods: Four hundred fifty-two thyroid CT scan cases with pathological data at our department that were performed from January 2011 to January 2012 were analyzed, of which a total of 87 tumors in 73 cases were confirmed as 0.5-1.0 cm diameter PTMC; the CT images of PTMC were analyzed, suitable window width (W) and window level (L) of PTMC were determined, as well as observation of the density and shape of tumors, tumor boundaries before and after contrast enhancement, thyroid edge interruption, calcification, lymph node metastasis, and complications.
Results: Plain scan W 140-180, L 80-120 and contrast-enhanced scan W 160-200, L 110-150 were conducive to the display of PTMC. Among 87 tumors in this group, aside from 10 tumors and intratumoral calcification that were not shown up, plain CT scans of 77 (88.5%) tumors showed homogeneous low density; 59(67.8%) tumors were irregular shaped; 64 (73.6%) tumors showed plain thyroid scan edge interruption; after contrast enhancement, 65 (74.7%) tumor contours were relatively obscure compared with plain scan, and relative low-density range of the tumors narrowed down; 16 (18.4%) tumors were calcified, of which 15 (93.8%) were fine granular calcifications; lymph node metastasis were found pathologically in 18 (24.7%) cases, of which 8 (44.4%, 8/18) cases were CT findings. Among the 10 (11.4%) tumors that did not show up on CT, 7 were complicated with Hashimoto's thyroiditis, 2 were masked by clavicle artifacts, and 1 was masked by nodular goiter.
Conclusion: Plain scan W 140-180, L 80-120 and contrast-enhanced scan W 160-200, L 110-150 were conducive to the display of PTMC. The tumor-shaped irregularity, smaller relative low-density area after contrast enhancement than plain scan, thyroid edge interruption, fine granular calcification, and neck lymph node abnormalities contributed to the diagnosis of PTMC; Hashimoto's thyroiditis, clavicle artifacts, and nodular goiter could mask the tumor, which required adequate attention.
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http://dx.doi.org/10.1016/j.clinimag.2012.12.005 | DOI Listing |
Sci Rep
January 2025
Department of Radiology, Affiliated Hospital of North Sichuan Medical College, No.63 Wenhua Road, Shunqing District, Nanchong, 637000, China.
This study sought to establish and validate an interpretable CT radiomics-based machine learning model capable of predicting post-acute pancreatitis diabetes mellitus (PPDM-A), providing clinicians with an effective predictive tool to aid patient management in a timely fashion. Clinical and imaging data from 271 patients who had undergone enhanced CT scans after first-episode acute pancreatitis from March 2017-June 2023 were retrospectively analyzed. Patients were classified into PPDM-A (n = 109) and non-PPDM-A groups (n = 162), and split into training (n = 189) and testing (n = 82) cohorts at a 7:3 ratio.
View Article and Find Full Text PDFJ Surg Case Rep
January 2025
Division of Acute Care Surgery, Department of Surgery, University of Nebraska Medical Center, Omaha, NE 68198, United States.
Spigelian hernias are rare clinical entities; vague symptomatology and unreliable clinical examination ensure difficult diagnosis. Computed tomography (CT) is critical for accurate diagnosis. Surgical repair is mandated given the high risk of visceral organ incarceration.
View Article and Find Full Text PDFJ Orthop Case Rep
January 2025
Department of Orthopaedics, Calcutta National Medical College and Hospital, Kolkata, West Bengal, India.
Introduction: Olecranon fractures account for 5-7% of elbow fractures, making them a common injury. The majority of these fractures are treated surgically because they are intra-articular and can disrupt the elbow extensor mechanism. Mayo Type II fractures are displaced with a stable ulnohumeral joint, indicating intact ligamentous structures, particularly the anterior portion of the medial collateral ligament.
View Article and Find Full Text PDFJ Shoulder Elbow Surg
December 2024
Department of Orthopaedic Surgery and Traumatology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland.
Indian J Radiol Imaging
January 2025
Department of Radiology, Dr. Bhim Rao Ambedkar Institute Rotary Cancer Hospital, All India Institute of Medical Sciences New Delhi, India.
The aim of this study was to assess efficacy of large language models (LLMs) for converting free-text computed tomography (CT) scan reports of head and neck cancer (HNCa) patients into a structured format using a predefined template. A retrospective study was conducted using 150 CT reports of HNCa patients. A comprehensive structured reporting template for HNCa CT scans was developed, and the Generative Pre-trained Transformer 4 (GPT-4) was initially used to convert 50 CT reports into a structured format using this template.
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