Interim position emission tomography-computed tomography during multimodality treatment of locally advanced esophageal cancer: a scoping review.

Esophageal cancer (EC) FDG PET-CT interim prognostic value

Journal

Quantitative imaging in medicine and surgery
ISSN: 2223-4292
Titre abrégé: Quant Imaging Med Surg
Pays: China
ID NLM: 101577942

Informations de publication

Date de publication:
01 Sep 2023
Historique:
received: 26 11 2022
accepted: 27 06 2023
medline: 15 9 2023
pubmed: 15 9 2023
entrez: 15 9 2023
Statut: ppublish

Résumé

Among cancers, esophageal cancer (EC) has one of the highest incidences and mortality in Asia. As recognized in many national guidelines, functional imaging performed with position emission tomography is recommended for patients with locally advanced disease. This review evaluated evidence for the use of fluorodeoxyglucose (FDG) interim positron emission tomography (PETint) in bimodality (chemoradiation) and trimodality (chemoradiation followed by surgery) management of locally advanced esophageal cancer (LAEC), with a focus on its prognostic and predictive value. The MEDLINE database was searched from January 1, 2001, to January 1, 2022, as part of a scoping review. References of selected articles were manually checked to identify other articles meeting the inclusion criteria; only original articles were included, and reviews, guidelines, letters, editorials, and case reports were excluded. A total of 63 articles were included in this review. PET-computed tomography (PET-CT) is recognized as having a significant role in the assessment of treatment response. Studies on the predictive PETint suggest that it has a certain value, particularly for early response. Identification of poor responders or nonresponders soon after commencement of multimodality treatment allows for treatment modification. The scoping review indicated variable utility for the prognostic value of PETint. There is a need to improve its accuracy, which can likely be achieved through greater standardization of measurements and reporting and testing as well as combination with other promising measures of response to residual disease.

Sections du résumé

Background UNASSIGNED
Among cancers, esophageal cancer (EC) has one of the highest incidences and mortality in Asia. As recognized in many national guidelines, functional imaging performed with position emission tomography is recommended for patients with locally advanced disease. This review evaluated evidence for the use of fluorodeoxyglucose (FDG) interim positron emission tomography (PETint) in bimodality (chemoradiation) and trimodality (chemoradiation followed by surgery) management of locally advanced esophageal cancer (LAEC), with a focus on its prognostic and predictive value.
Methods UNASSIGNED
The MEDLINE database was searched from January 1, 2001, to January 1, 2022, as part of a scoping review. References of selected articles were manually checked to identify other articles meeting the inclusion criteria; only original articles were included, and reviews, guidelines, letters, editorials, and case reports were excluded.
Results UNASSIGNED
A total of 63 articles were included in this review. PET-computed tomography (PET-CT) is recognized as having a significant role in the assessment of treatment response. Studies on the predictive PETint suggest that it has a certain value, particularly for early response. Identification of poor responders or nonresponders soon after commencement of multimodality treatment allows for treatment modification.
Conclusions UNASSIGNED
The scoping review indicated variable utility for the prognostic value of PETint. There is a need to improve its accuracy, which can likely be achieved through greater standardization of measurements and reporting and testing as well as combination with other promising measures of response to residual disease.

Identifiants

pubmed: 37711778
doi: 10.21037/qims-22-1306
pii: qims-13-09-6280
pmc: PMC10498200
doi:

Types de publication

Journal Article Review

Langues

eng

Pagination

6280-6295

Informations de copyright

2023 Quantitative Imaging in Medicine and Surgery. All rights reserved.

Déclaration de conflit d'intérêts

Conflicts of Interest: All authors have completed the ICMJE uniform disclosure form (available at https://qims.amegroups.com/article/view/10.21037/qims-22-1306/coif). The authors have no conflicts of interest to declare.

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Auteurs

Hongcheng Zhu (H)

Department of Radiation Oncology, Fudan University Shanghai Cancer Center, Shanghai, China.
Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China.
Shanghai Clinical Research Center for Radiation Oncology, Shanghai, China.
Shanghai Key Laboratory of Radiation Oncology, Shanghai, China.

Shengnan Hao (S)

Department of Radiation Oncology, Fudan University Shanghai Cancer Center, Shanghai, China.
Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China.
Shanghai Clinical Research Center for Radiation Oncology, Shanghai, China.
Shanghai Key Laboratory of Radiation Oncology, Shanghai, China.

Ihsuan Tseng (I)

Department of Radiation Oncology, Fudan University Shanghai Cancer Center, Shanghai, China.
Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China.
Shanghai Clinical Research Center for Radiation Oncology, Shanghai, China.
Shanghai Key Laboratory of Radiation Oncology, Shanghai, China.

Jingyi Shen (J)

Department of Radiation Oncology, Fudan University Shanghai Cancer Center, Shanghai, China.
Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China.
Shanghai Clinical Research Center for Radiation Oncology, Shanghai, China.
Shanghai Key Laboratory of Radiation Oncology, Shanghai, China.

Eleonor Rivin Del Campo (E)

Department of Radiation Oncology, Tenon University Hospital, Sorbonne University, Paris, France.

Amy Davies (A)

Department of Oncology, Monash Health and Monash University, Melbourne, VIC, Australia.

Eva Segelov (E)

Department of Clinical Research, University of Bern, Bern, Switzerland.

Qiufang Liu (Q)

Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China.
Department of Nuclear Medicine, Fudan University Shanghai Cancer Center, Shanghai, China.

Yun Chen (Y)

Department of Radiation Oncology, Fudan University Shanghai Cancer Center, Shanghai, China.
Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China.
Shanghai Clinical Research Center for Radiation Oncology, Shanghai, China.
Shanghai Key Laboratory of Radiation Oncology, Shanghai, China.

Shaoli Song (S)

Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China.
Department of Nuclear Medicine, Fudan University Shanghai Cancer Center, Shanghai, China.

Kuaile Zhao (K)

Department of Radiation Oncology, Fudan University Shanghai Cancer Center, Shanghai, China.
Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China.
Shanghai Clinical Research Center for Radiation Oncology, Shanghai, China.
Shanghai Key Laboratory of Radiation Oncology, Shanghai, China.

Classifications MeSH