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1.
Indian J Nucl Med ; 38(3): 255-263, 2023.
Article in English | MEDLINE | ID: mdl-38046976

ABSTRACT

Introduction: Positron emission tomography/computed tomography (PET/CT) is routinely used for staging, response assessment, and surveillance in esophageal carcinoma patients. The aim of this study was to investigate whether textural features of pretreatment 18F-fluorodeoxyglucose (18F-FDG) PET/CT images can contribute to prognosis prediction in carcinoma oesophagus patients. Materials and Methods: This is a retrospective study of 30 diagnosed carcinoma esophagus patients. These patients underwent pretreatment 18F-FDG PET/CT for staging. The images were processed in a commercially available textural analysis software. Region of interest was drawn over primary tumor with a 40% threshold and was processed further to derive 92 textural and radiomic parameters. These parameters were then compared between progression group and nonprogression group. The original dataset was subject separately to receiver operating curve analysis. Receiver operating characteristic (ROC) curves were used to identify the cutoff values for textural features with a P < 0.05 for statistical significance. Feature selection was done with principal component analysis. The selected features of each evaluator were subject to 4 machine-learning algorithms. The highest area under the curve (AUC) values was selected for 10 features. Results: A retrospective study of 30 primary carcinoma esophagus patients was done. Patients were followed up after chemo-radiotherapy and they underwent follow-up PET/CT. On the basis of their response, patients were divided into progression group and nonprogression group. Among them, 15 patients showed disease progression and 15 patients were in the nonprogression group. Ten textural analysis parameters turned out to be significant in the prediction of disease progression. Cutoff values were calculated for these parameters according to the ROC curves, GLZLM_long zone emphasis (Gray Level Zone Length Matrix)_long zone emphasis (44.9), GLZLM_low gray level zone emphasis (0.006), GLZLM_short zone low gray level emphasis (0.0032), GLZLM_long zone low gray level emphasis (0.185), GLRLM_long run emphasis (Gray Level Run Length Matrix) (1.31), GLRLM_low gray level run emphasis (0.0058), GLRLM_short run low gray level emphasis (0.005496), GLRLM_long run low gray level emphasis (0.00727), NGLDM_Busyness (Neighborhood Gray Level Difference Matrix) (0.75), and gray level co-occurrence matrix_homogeneity (0.37). Feature selection by principal components analysis and feature classification by the K-nearest neighbor machine-learning model using independent training and test samples yielded the overall highest AUC. Conclusions: Textural analysis parameters could provide prognostic information in carcinoma esophagus patients. Larger multicenter studies are needed for better clinical prognostication of these parameters.

2.
Indian J Nucl Med ; 38(2): 167-169, 2023.
Article in English | MEDLINE | ID: mdl-37456180

ABSTRACT

Adult cutaneous T-cell lymphoma is an uncommon malignancy with poor prognosis and is usually seen in association with human T-cell lymphotropic virus type 1. We present the case of a 25-year-old female who gave a history of extensive whole-body polypoidal cutaneous and bilateral orbital and breast swellings. Biopsy was suggestive of cutaneous T-cell lymphoma and the patient was evaluated with 18F-labeled fluoro-2-deoxyglucose positron emission tomography and computed tomography for initial staging of the disease.

3.
Nucl Med Commun ; 44(5): 381-389, 2023 May 01.
Article in English | MEDLINE | ID: mdl-36826419

ABSTRACT

INTRODUCTION: Texture and radiomic analysis characterize the tumor's phenotype and evaluate its microenvironment in quantitative terms. The aim of this study was to investigate the role of textural features of 18F-FDG PET/computed tomography (CT) images in differentiating hepatocellular carcinoma (HCC) and hepatic metastasis in patients with suspected liver tumors. 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). CONCLUSION: Textural analysis parameters could successfully differentiate HCC and hepatic metastasis non-invasively. Larger multi-center studies are needed for better clinical prognostication of these parameters.


Subject(s)
Carcinoma, Hepatocellular , Liver Neoplasms , Humans , Fluorodeoxyglucose F18 , Positron Emission Tomography Computed Tomography/methods , Carcinoma, Hepatocellular/diagnostic imaging , Retrospective Studies , Liver Neoplasms/diagnostic imaging , Tomography, X-Ray Computed , Tumor Microenvironment
4.
Cancer Treat Res Commun ; 28: 100429, 2021.
Article in English | MEDLINE | ID: mdl-34246179

ABSTRACT

We report a case of a massive primary sclerosing pneumocytoma (PSP) involving the right lower lobe adhering esophagus with small synchronous PSP on the superior segment of the left lower lobe with concurrent mutation for B-RAF proto-oncogene, serine/threonine kinase (BRAF V600E), and phosphatase and tensin homolog (PTEN) gene in a young female. She underwent right lower lobectomy and mediastinal lymph node dissection under single lung ventilation with tumor-free margins on diagnosis-based findings of preoperative computed tomography-guided biopsy and positron emission tomography. Histopathology was suggestive of PSP-papillary variant with concurrent mutation of BRAF V600E and PTEN genes. Post-operative follow-up at four weeks was uneventful. She has to undergo wedge resection for the contralateral disease after six weeks following recovery from the first surgery.


Subject(s)
Adenocarcinoma of Lung/genetics , Proto-Oncogene Proteins B-raf/metabolism , Pulmonary Sclerosing Hemangioma/genetics , Adenocarcinoma of Lung/pathology , Adult , Female , Humans , Mutation , PTEN Phosphohydrolase , Pulmonary Sclerosing Hemangioma/pathology , Young Adult
5.
Eur J Case Rep Intern Med ; 8(1): 002248, 2021.
Article in English | MEDLINE | ID: mdl-33585348

ABSTRACT

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. LEARNING POINTS: Haemangiomas are rare chest wall tumours and even rarer when they originate from intercostal muscle.Intercostal muscle haemangiomas should be included in the differential diagnosis of chest wall tumours even in the absence of a feeding vessel.The present case emphasizes the importance of histopathological diagnosis when clinical and radiological examinations are inconclusive.

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