Background: Haemangiomas are uncommon chest wall tumours arising outside the rib cage. Their occurrence in intercostal muscle is extremely rare. Aim: We describe a case of intercostal muscle cavernous haemangioma as a differential diagnosis for chest wall swelling. Case description: We describe an 18-year-old male patient with an asymptomatic left-sided chest wall swelling. Contrast-enhanced computed tomography revealed a well-defined homogenously non-enhancing mass lesion arising from the seventh intercostal muscle with differential diagnoses of various chest wall tumours. Clinical presentation and imaging findings were inconclusive, but histopathological examination following excision biopsy revealed a cavernous haemangioma. The present case emphasizes the importance of histopathological diagnosis when clinical and radiological examination is inconclusive. Hence, it is necessary to consider intercostal muscle haemangiomas as a differential diagnosis for chest wall tumours in the absence of a feeding vessel. Conclusion: Despite its rare occurrence, intercostal muscle haemangioma must be considered as a differential diagnosis in chest wall tumours even in the absence of a feeding vessel. We believe that histopathology can provide a definitive diagnosis when most investigative procedures are inconclusive.
Methods This is a retrospective, single-center study of 30 patients who underwent FDG PET/CT for the characterization of liver lesions or for staging a suspected liver tumor. The histological diagnosis of either primary or metastatic tumor was obtained from CT-guided biopsy, ultrasound-guided biopsy, or surgical removal of a liver lesion. The PET/CT images were then processed in commercially available textural analysis software. Region of interest was drawn over the primary tumor with a 40% threshold and was processed further to derive 42 textural and radiomic parameters. These parameters were then compared between HCC group and hepatic metastases group. Receiver-operating characteristic (ROC) curves were used to identify cutoff values for textural features with a P value <0.05 for statistical significance.Results A retrospective study of 30 patients with suspected liver tumors was done. After undergoing PET/CT, the histological diagnosis of these lesions was confirmed. Among these 30 patients, 15 patients had HCC, and 15 patients had hepatic metastases from various primary sites. Seven textural analysis parameters were significant in differentiating HCC from liver metastasis. Cutoff values were calculated for these parameters according to the ROC curves, standardized uptake value (SUV) Skewness (0.705), SUV Kurtosis (3.65), SUV Excess Kurtosis (0.653), gray-level zone length matrix_long zone emphasis (349.2), gray-level zone length matrix_long zone low gray-level emphasis (1.6), gray-level run length matrix_long run emphasis (1.38) and gray-level co-occurrence matrix_Homogeneity (0.406).
ConclusionTextural analysis parameters could successfully differentiate HCC and hepatic metastasis non-invasively. Larger multi-center studies are needed for better clinical prognostication of these parameters. Nucl Med Commun
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