Tumor characteristics and metabolic quantification in carcinoma breast: An institutional experience

Dubey, I P; Jain, Ajita; Chauhan, M. S.; Kumar, Rakesh; Agarwal, S; Kishore, Braj; Vishnoi, Madan Gopal; Paliwal, Dharmesh; John, Arun Ravi; Kumar, Naresh; Sharma, Anuj; Pandit, Aditi

doi:10.4103/ijc.ijc_121_17

Cited by 5 publications

(2 citation statements)

References 27 publications

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“…SUVmax is routinely used imaging diagnostic parameter [50]. In BC studies, it usually indicates the degree of tumor metabolism and hence can predict its behavior and prognosis [51].…”

Section: Discussionmentioning

confidence: 99%

Hybrid 18F-FDG-PET/MRI Measurement of Standardized Uptake Value Coupled with Yin Yang 1 Signature in Metastatic Breast Cancer. A Preliminary Study

Schiano

Franzese

Pane

et al. 2019

Cancers

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Purpose: Detection of breast cancer (BC) metastasis at the early stage is important for the assessment of BC progression status. Image analysis represents a valuable tool for the management of oncological patients. Our preliminary study combined imaging parameters from hybrid 18F-FDG-PET/MRI and the expression level of the transcriptional factor Yin Yang 1 (YY1) for the detection of early metastases. Methods: The study enrolled suspected n = 217 BC patients that underwent 18F-FDG-PET/MRI scans. The analysis retrospectively included n = 55 subjects. n = 40 were BC patients and n = 15 imaging-negative female individuals were healthy subjects (HS). Standard radiomics parameters were extracted from PET/MRI image. RNA was obtained from peripheral blood mononuclear cells and YY1 expression level was evaluated by real time reverse transcription polymerase chain reactions (qRT-PCR). An enzyme-linked immuosorbent assay (ELISA) was used to determine the amount of YY1 serum protein. Statistical comparison between subgroups was evaluated by Mann-Whitney U and Spearman’s tests. Results: Radiomics showed a significant positive correlation between Greg-level co-occurrence matrix (GLCM) and standardized uptake value maximum (SUVmax) (r = 0.8 and r = 0.8 respectively) in BC patients. YY1 level was significant overexpressed in estrogen receptor (ER)-positive/progesteron receptor-positive/human epidermal growth factor receptor2-negative (ER+/PR+/HER2-) subtype of BC patients with synchronous metastasis (SM) at primary diagnosis compared to metachronous metastasis (MM) and HS (p < 0.001) and correlating significantly with 18F-FDG-uptake parameter (SUVmax) (r = 0.48). Conclusions: The combination of functional 18F-FDG-PET/MRI parameters and molecular determination of YY1 could represent a novel integrated approach to predict synchronous metastatic disease with more accuracy than 18F-FDG-PET/MRI alone.

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“…SUVmax is routinely used imaging diagnostic parameter [50]. In BC studies, it usually indicates the degree of tumor metabolism and hence can predict its behavior and prognosis [51].…”

Section: Discussionmentioning

confidence: 99%

Hybrid 18F-FDG-PET/MRI Measurement of Standardized Uptake Value Coupled with Yin Yang 1 Signature in Metastatic Breast Cancer. A Preliminary Study

Schiano

Franzese

Pane

et al. 2019

Cancers

View full text Add to dashboard Cite

show abstract

“…Larger tumour sizes or higher grade of malignancy were typically signified by higher glucose uptakes (Wellberg et al, 2016;Zhang & Wang, 2020). The SUV was dependent on tumour size with increased uptake seen in larger tumour sizes, tumour grades and the stage of the breast cancer lesions (Ayaz et al, 2017;Jain et al, 2017) that demonstrates increased tumour aggressiveness.…”

Section: Resultsmentioning

confidence: 99%

Impacts of Clinicopathological Factors on Metabolic Parameters of 18f Fluorodeoxyglucose Pet/Ct in the Staging of Breast Cancer

ZAHARI¹,

Mohamad²,

MAHMUD³

2022

JSSM

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This study aims to evaluate the impact of clinicopathological factors on metabolic parameters of 18F-FDG PET/CT in the different staging of breast cancer. 15 histopathologically confirmed breast cancer lesions on patients who underwent whole- body FDG-PET/CT for staging were retrospectively reviewed. Three PET/CT metabolic parameters including semiquantitative maximum standardised uptake value (SUVmax), metabolic tumour volume (MTV) and total lesion glycolysis (TLG) were quantified over the primary lesions of the breast. The parameters were statistically correlated with clinicopathological factors including patients’ age, body mass index (BMI) and tumour size. Multivariate regression was performed to determine the significant factors that best predicted those metabolic parameters. Tumour size was significantly correlated to all metabolic parameters (p < 0.001) and was a significant predictor of those parameters (p < 0.001). Tumour size accounted for 77.5%, 94.3% and 96.2% of the SUVmax, MTV and TLG variances, respectively. Tumour size significantly affects the metabolic parameters of 18F-FDG PET/CT (SUVmax, MTV and TLG) in the staging of breast cancer. Therefore, tumour size has a prognostic value for the staging of breast cancer in a 18F-FDG PET/CT study for improved clinical management.

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Locally Advanced Breast Cancer: Response Evaluation to Neoadjuvant Chemotherapy by Clinico-Histopathological Parameters and Molecular Imaging

Jain¹

2023

Indian J Surg Oncol

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Tumor characteristics and metabolic quantification in carcinoma breast: An institutional experience

Abstract: We have inferred that in patients with breast cancer, various biological parameters such as tumor size, grade, histology, and hormonal receptor status have different impact on tumor metabolic activity.

Cited by 5 publications

References 27 publications

Hybrid 18F-FDG-PET/MRI Measurement of Standardized Uptake Value Coupled with Yin Yang 1 Signature in Metastatic Breast Cancer. A Preliminary Study

Hybrid 18F-FDG-PET/MRI Measurement of Standardized Uptake Value Coupled with Yin Yang 1 Signature in Metastatic Breast Cancer. A Preliminary Study

Impacts of Clinicopathological Factors on Metabolic Parameters of 18f Fluorodeoxyglucose Pet/Ct in the Staging of Breast Cancer

Locally Advanced Breast Cancer: Response Evaluation to Neoadjuvant Chemotherapy by Clinico-Histopathological Parameters and Molecular Imaging

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