PET-derived metabolic volume metrics in lymphoma

被引:4
作者
Kostakoglu L. [1 ]
Chauvie S. [2 ]
机构
[1] Department of Radiology, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, Box: 1141, New York, NY
[2] Department of Medical Physics, ‘Santa Croce e Carle’ Hospital, Cuneo
关键词
Lymphoma; Metabolic tumor volume; Standardization;
D O I
10.1007/s40336-015-0135-x
中图分类号
学科分类号
摘要
There is growing interest in the development of accurate surrogate measures to predict treatment response and survival both in routine clinical practice and for the development of novel cancer therapeutics. Positron emission tomography plays a pivotal role due to its ability to describe functional changes in tumors also in a quantitative way. However, the standardization of imaging procedures and a reliable quality control program with the inclusion of proper calibration and cross-calibration of the scanner is necessary for accurate quantitative measurements. In this review, in addition to technical and methodological considerations related to PET-derived volumetric metrics, we will review the published data to focus on the potential value of these metrics in the prediction of treatment response and patient prognosis in lymphoma. © 2015, Italian Association of Nuclear Medicine and Molecular Imaging.
引用
收藏
页码:331 / 341
页数:10
相关论文
共 50 条
  • [31] Evaluation of a convolution neural network for baseline total tumor metabolic volume on [18F]FDG PET in diffuse large B cell lymphoma
    Karimdjee, Mourtaza
    Delaby, Gauthier
    Huglo, Damien
    Baillet, Clio
    Willaume, Alexandre
    Dujardin, Simon
    Bailliez, Alban
    EUROPEAN RADIOLOGY, 2023, 33 (05) : 3386 - 3395
  • [32] Early variation of 18-fluorine-labelled fluorodeoxyglucose PET-derived parameters after chemoradiotherapy as predictors of survival in locally advanced pancreatic carcinoma patients
    Incerti, Elena
    Vanoli, Emilia G.
    Broggi, Sara
    Gumina, Calogero
    Passoni, Paolo
    Slim, Najla
    Fiorino, Claudio
    Reni, Michele
    Mapelli, Paola
    Cattaneo, Mauro
    Zanon, Silvia
    Calandrino, Riccardo
    Gianolli, Luigi
    Di Muzio, Nadia
    Picchio, Maria
    NUCLEAR MEDICINE COMMUNICATIONS, 2019, 40 (10) : 1072 - 1080
  • [33] FDG PET/CT imaging as a biomarker in lymphoma
    Meignan, Michel
    Itti, Emmanuel
    Gallamini, Andrea
    Younes, Anas
    EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING, 2015, 42 (04) : 623 - 633
  • [34] Current role of FDG PET/CT in lymphoma
    Kostakoglu, Lale
    Cheson, Bruce D.
    EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING, 2014, 41 (05) : 1004 - 1027
  • [35] Bayesian penalized likelihood PET reconstruction impact on quantitative metrics in diffuse large B-cell lymphoma
    Young, Jason R.
    Mugu, Vamshi K.
    Johnson, Geoffrey B.
    Ehman, Eric C.
    Packard, Annie T.
    Homb, Andrew C.
    Nathan, Mark A.
    Thanarajasingam, Gita
    Kemp, Bradley J.
    MEDICINE, 2023, 102 (06)
  • [36] The role of PET in lymphoma
    Jhanwar, Yuliya S.
    Straus, David J.
    JOURNAL OF NUCLEAR MEDICINE, 2006, 47 (08) : 1326 - 1334
  • [37] PET imaging in lymphoma
    Hutchings, Martin
    EXPERT REVIEW OF HEMATOLOGY, 2009, 2 (03) : 261 - 276
  • [38] PET in Pediatric Lymphoma
    Gillman, Jennifer
    States, Lisa J.
    Servaes, Sabah
    PET CLINICS, 2020, 15 (03) : 299 - 307
  • [39] Interim PET in lymphoma
    Casasnovas, O.
    MEDECINE NUCLEAIRE-IMAGERIE FONCTIONNELLE ET METABOLIQUE, 2014, 38 (03): : 184 - 187
  • [40] Prognostic value of combined MTV and ADC derived from baseline FDG PET/MRI in aggressive non-Hodgkins lymphoma
    Husby, Trine
    Johansen, Hakon
    Bogsrud, Trond Velde
    Hustad, Kari Vekseth
    Evensen, Birte Veslemoy
    Boellaard, Ronald
    Giskeodegard, Guro F.
    Fagerli, Unn-Merete
    Eikenes, Live
    BMC CANCER, 2022, 22 (01)