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Updated: May 11, 2026

A Novel High-resolution In vivo Imaging Technique to Study the Dynamic Response of Intracranial Structures to Tumor Growth and Therapeutics
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Role of Novel Quantitative Imaging Techniques in Hematological Malignancies

Rahul V Parghane1, Sandip Basu1

  • 1Radiation Medicine Centre (BARC), Tata Memorial Hospital Annexe, Parel, Mumbai, India; Homi Bhabha National Institute, Mumbai, India.

PET Clinics
|June 29, 2024
PubMed

Hematological malignancies exhibit a widespread distribution, necessitating evaluation of disease activity over the entire body. In clinical practice, visual analysis and semiquantitative parameters are used to assess 18F-FDGPET/CT imaging, which solely represents measurements of disease activity from limited area and may not adequately reflect global disease assessment. An efficient method for assessing the global disease burden of hematological malignancies is to employ PET/computed tomography based novel quantitative parameters. In this article, we explored novel quantitative parameters on PET/CT imaging for assessing global disease burden and the potential role of artificial intelligence (AI) to determine these parameters in evaluation of hematological malignancies.

Keywords:
Artificial intelligence (AI)Convolutional neural networks (CNNs)DmaxHematological malignanciesMetabolic tumor volume (MTV)PET/CTTotal lesion glycolysis (TLG)Total metabolic tumor volume (TMTV)

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