Quarter-Century PET/CT Transformation of Oncology: Lymphoma

被引:3
作者
Parihar, Ashwin Singh [1 ,2 ,6 ]
Pant, Niharika [1 ]
Subramaniam, Rathan M. [3 ,4 ,5 ]
机构
[1] Mallinckrodt Inst Radiol, St Louis, MO USA
[2] Washington Univ, Sch Med, Siteman Canc Ctr, St Louis, MO USA
[3] Univ Notre Dame Australia, Fac Med Nursing & Midwifery & Hlth Sci, Sydney, Australia
[4] Duke Univ, Dept Radiol, Durham, NC USA
[5] Univ Otago, Med Sch, Dept Med, Dunedin, New Zealand
[6] Washington Univ, Mallinckrodt Inst Radiol, Sch Med, 4525 Scott Ave,3433, St Louis, MO 63110 USA
关键词
Lymphoma; FDG PET/CT; Response assessment; Fluorodeoxyglucose; Deauville; Hodgkin; Non-Hodgkin; POSITRON-EMISSION-TOMOGRAPHY; B-CELL LYMPHOMA; CHRONIC LYMPHOCYTIC-LEUKEMIA; METABOLIC TUMOR VOLUME; RESPONSE ASSESSMENT; HODGKIN-LYMPHOMA; F-18-FDG PET/CT; INTERIM-PET; RICHTERS TRANSFORMATION; INTERNATIONAL WORKSHOP;
D O I
10.1016/j.cpet.2023.12.014
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
The use of quantitative metrics, such as metabolic tumor volume (MTV), and total lesion glycolysis (TLG) in a research setting in several lymphoid and solid tumors has shown promise.52-54 MTV is the metabolically active volume of the lesion, based on a predetermined SUV threshold. The TLG is derived as a product of the MTV and the mean SUV of the lesion. The MTV of lesions throughout the body can be summed to give a total body MTV (TMTV), which is representative of the global metabolically active disease burden. A retrospective study of 185 patients with follicular lymphoma who were receiving combination immunechemotherapy showed that TMTV calculated on baseline PET was highly prognostic for both progression -free survival (PFS) and overall survival (OS).55 However, there are challenges with these measurements, including lack of standardization (SUV threshold to be used for segmenting), suboptimal reproducibility of cutoff values and time required to perform these measurements in a clinical setting.56 Although artificial intelligence -based tools are attempting to solve several of these limitations. The development and validation of artificial intelligence and radiomics-based tools has shown promise in disease prognostication.57 It is anticipated that the use of quantitative metrics and radiomic analyses will grow significantly, especially with the advent of reliable automatic segmentation methods that can be deployed in busy clinical practices.58 The development of new radiopharmaceuticals such as those targeting specific cellular/ subcellular structures in the tumor microenvironment that can aid in both diagnosis and therapy is an area of active research.59,60 We have come a long way in the integration of PET/CT in management of lymphomas, and with the new developments in radiopharmacy and physics, there will be additional avenues for imaging to aid in the management of these patients.
引用
收藏
页码:281 / 290
页数:10
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