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4. A proposed methodology for detecting the malignant potential of pulmonary nodules in sarcoma using computed tomographic imaging and artificial intelligence-based models

Author

Baidya Kayal, Esha, primary, Ganguly, Shuvadeep, additional, Sasi, Archana, additional, Sharma, Swetambri, additional, DS, Dheeksha, additional, Saini, Manish, additional, Rangarajan, Krithika, additional, Kandasamy, Devasenathipathy, additional, Bakhshi, Sameer, additional, and Mehndiratta, Amit, additional

Published
2023
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5. Formulation and validation of a baseline prognostic score for osteosarcoma treated uniformly with a non-high dose methotrexate-based protocol from a low middle income healthcare setting: a single centre analysis of 594 patients

Author

Ganguly, Shuvadeep, primary, Sasi, Archana, additional, Khan, Shah Alam, additional, Kumar, Venkatesan Sampath, additional, Kapoor, Love, additional, Sharma, Mehar Chand, additional, Mridha, Asit, additional, Barwad, Adarsh, additional, Thulkar, Sanjay, additional, Pushpam, Deepam, additional, and Bakhshi, Sameer, additional

Published
2023
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16. A proposed methodology for detecting the malignant potential of pulmonary nodules in sarcoma using computed tomographic imaging and artificial intelligence-based models.

Author

Kayal, Esha Baidya, Ganguly, Shuvadeep, Sasi, Archana, Sharma, Swetambri, D. S., Dheeksha, Saini, Manish, Rangarajan, Krithika, Kandasamy, Devasenathipathy, Bakhshi, Sameer, and Mehndiratta, Amit

Subjects
PULMONARY nodules, ARTIFICIAL intelligence, TOMOGRAPHY, POSITRON emission tomography, COMPUTED tomography, POSITRON emission tomography computed tomography
Abstract

The presence of lung metastases in patients with primary malignancies is an important criterion for treatment management and prognostication. Computed tomography (CT) of the chest is the preferred method to detect lung metastasis. However, CT has limited efficacy in differentiating metastatic nodules from benign nodules (e.g., granulomas due to tuberculosis) especially at early stages (<5 mm). There is also a significant subjectivity associated in making this distinction, leading to frequent CT follow-ups and additional radiation exposure along with financial and emotional burden to the patients and family. Even 18F-fluoro-deoxyglucose positron emission technology-computed tomography (18F-FDG PET-CT) is not always confirmatory for this clinical problem. While pathological biopsy is the gold standard to demonstrate malignancy, invasive sampling of small lung nodules is often not clinically feasible. Currently, there is no non-invasive imaging technique that can reliably characterize lung metastases. The lung is one of the favored sites of metastasis in sarcomas. Hence, patients with sarcomas, especially from tuberculosis prevalent developing countries, can provide an ideal platform to develop a model to differentiate lung metastases from benign nodules. To overcome the lack of optimal specificity of CT scan in detecting pulmonary metastasis, a novel artificial intelligence (AI)-based protocol is proposed utilizing a combination of radiological and clinical biomarkers to identify lung nodules and characterize it as benign or metastasis. This protocol includes a retrospective cohort of nearly 2,000–2,250 sample nodules (from at least 450 patients) for training and testing and an ambispective cohort of nearly 500 nodules (from 100 patients; 50 patients each from the retrospective and prospective cohort) for validation. Ground-truth annotation of lung nodules will be performed using an inhouse- built segmentation tool. Ground-truth labeling of lung nodules (metastatic/benign) will be performed based on histopathological results or baseline and/or follow-up radiological findings along with clinical outcome of the patient. Optimal methods for data handling and statistical analysis are included to develop a robust protocol for early detection and classification of pulmonary metastasis at baseline and at follow-up and identification of associated potential clinical and radiological markers. [ABSTRACT FROM AUTHOR]

Published
2023
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17. IGF2BP3 Expression Correlates with Poor Survival in Primary and Relapsed Pediatric B-ALL (B-cell Acute Lymphoblastic Leukemia) in an Indian Cohort

Author

Saluja, Sumedha, primary, Ganguly, Shuvadeep, additional, Jain, Ayushi, additional, Singh, Jay, additional, Pethusamy, Karthikeyan, additional, Chaudhary, Shilpi, additional, Chattopadhyay, Parthaprasad, additional, Singh, Archna, additional, Chopra, Anita, additional, Karmakar, Subhradip, additional, Bakhshi, Sameer, additional, and Palanichamy, Jayanth Kumar, additional

Published
2022
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34. Mitochondrial complex II and V activity is enhanced in pediatric acute myeloid leukemia

Author

Chaudhary, Shilpi, Ganguly, Shuvadeep, Singh, Archna, Palanichamy, Jayanth Kumar, Chopra, Anita, Bakhshi, Radhika, and Bakhshi, Sameer

Subjects
Original Article
Abstract

Background: Mitochondrial bioenergetic alterations are commonly observed metabolic adaptation in malignancies including acute myeloid leukemia (AML). Mitochondrial DNA alterations are well known in pediatric AML with possible prognostic significance; however, mitochondrial complex activity and its impact on disease outcome have not been previously explored. The aim of this study was to evaluate the mitochondrial complex II and complex V activity and its prognostic significance in pediatric AML patients. Methods: Consecutive 82 de novo pediatric (≤18 years) patients with AML were included in the study along with age and sex matched controls. Bone marrow mononuclear cells were isolated from baseline bone marrow samples from all patients and controls. DNA, RNA and proteins were extracted and relative expression of mitochondrial biogenesis genes TFAM, POLG, POLRMT were estimated along with mitochondrial DNA copy number. The mitochondrial complex II and V enzymes were immunocaptured and their activity was measured by substrate specific absorbance change by kinetic ELISA. The mitochondrial complex II and V activity was compared with controls and their association with clinico-pathological features and survival outcome were analysed. Complex activity was also correlated with relative expression of biogenesis genes. Results: The activity of mitochondrial complex II and V were found to be significantly enhanced (P = 0.010 and P = 0.0013 respectively) in pediatric AML patients compared to controls. The activity of mitochondrial complex II and V showed significant positive correlation with relative gene expression of mitochondrial biogenesis genes TFAM (P = 0.001 and P = 0.016 respectively) and POLG (P = 0.005 and P = 0.006 respectively). Neither of the two complex activities showed any significant association with baseline disease demographics or any clinico-pathological feature. Furthermore, the complex II and V activity did not show any impact on event free survival (P = 0.25 and P = 0.24 respectively) and overall survival (P = 0.14 and P = 0.17 respectively) in our cohort. Conclusion: The activity of both mitochondrial complex II and V are significantly elevated in bone marrow mononuclear cells of children with AML compared to controls. The enhanced activity may be related to upregulation of mitochondrial biogenesis genes TFAM and POLG. The enhanced activity of either of the complexes did not impact disease biology or survival outcomes in pediatric AML.

Published
2021

43. Fever of Unknown Origin: An Unusual Presentation of Kikuchi-Fujimoto Disease

Author

Ranjan, Piyush, Soneja, Manish, Subramonian, Nellai Krishnan, Kumar, Vivek, Ganguly, Shuvadeep, Kumar, Tarun, and Singh, Geetika

Subjects
Article Subject
Abstract

Kikuchi-Fujimoto disease is a rare, benign, and self-limiting condition that mostly affects young females. Cervical lymphadenopathy with fever is the most common presentation of the disease. It may have unusual presentations that can lead to diagnostic dilemma and delay in diagnosis. We report a case of a 25-year-old female who presented with relapsing fever and cervical lymphadenopathy. Because of atypical presentation, there was a delay in diagnosis and increase in morbidity. High index of suspicion with collaboration between clinicians and pathologists is essential for early and accurate diagnosis of the disease.

Published
2015
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