Correlation of ۹۹mTc[Tc]-MIBI washout kinetics with breast cancer histologic grade and ki-۶۷ index

سال انتشار: 1404
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 245

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شناسه ملی سند علمی:

JR_IRJNM-33-1_003

تاریخ نمایه سازی: 6 آذر 1403

چکیده مقاله:

Introduction: ۹۹mTc[Tc]-MIBI breast scintimammography offers a noninvasive method for assessing breast cancer biology. Studies suggest a potential prognostic value in washout analysis, as accelerated washout correlates with high histologic grade. The study examines whether the washout rate of ۹۹mTc[Tc]-MIBI, a marker of mitochondrial dysfunction, correlates with the ki-۶۷ index, a reliable predictive tool for breast cancer that estimates cellular proliferation.Methods: In this study, ۳۰ cases of breast cancer who were intact, without previous breast operation, prior chemotherapy, and previous radiotherapy, had prone scintimammagraphy. The diagnosis was approved by biopsy. The standard ۲۰ mCi ۹۹mTc[Tc]-MIBI was applied to all patients, and after ۱۵ min and ۶۰ min of injection, two imaging series were taken at each time. After different methods of calculation of washout, the washout percentage has been correlated with the Ki-۶۷ index in the patients.Results: All breast cancers showed significant tracer uptake at ۱۵ minutes, mostly correlated with tumor angiogenesis. Imaging at ۶۰ minutes revealed decreased activity, indicating a positive correlation between higher ۹۹mTc[Tc]-MIBI washout and higher breast cancer grade as indicated by the Ki-۶۷ index.Conclusion: The significant association between increased ۹۹mTc[Tc]-MIBI washout and increased cancer grade indicates that washout analysis may have potential prognostic utility before or during surgical treatment. Additionally, there is a suggestion of increased tumor grade correlating with increased mitochondrial dysfunction. While further prospective validation is necessary, this pilot study demonstrates that washout kinetics could serve as a noninvasive imaging biomarker for breast cancer grade to supplement clinical management algorithms.

نویسندگان

Mohammad Sadegh Piltan

Department of Physics, Yazd University, Yazd, Iran

Mohammad Esmlami-Kalantari

Department of Physics, Yazd University, Yazd, Iran

Mohammad Ali Shafaei

Department of Physics, Yazd University, Yazd, Iran

Farshid Gheisari

Department of Nuclear Medicine, Shiraz University of Medical Sciences, Shiraz, Iran

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