Preoperative imaging of gastric GISTs underestimates pathologic tumor size: A retrospective, single institution analysis.


Journal

Journal of surgical oncology
ISSN: 1096-9098
Titre abrégé: J Surg Oncol
Pays: United States
ID NLM: 0222643

Informations de publication

Date de publication:
Jul 2021
Historique:
revised: 21 03 2021
received: 22 12 2020
accepted: 02 04 2021
pubmed: 16 4 2021
medline: 25 6 2021
entrez: 15 4 2021
Statut: ppublish

Résumé

How well imaging size agrees with pathologic size of gastric gastrointestinal stromal tumors (GISTs) is unknown. GIST risk stratification is based on pathologic size, location, and mitotic rate. To inform decision making, the size discrepancy between imaging and pathology for gastric GISTs was investigated. Imaging and pathology reports were reviewed for 113 patients. Bland-Altman analyses and intraclass correlation (ICC) assessed agreement of imaging and pathology. Changes in clinical risk category due to size discrepancy were identified. Computed tomography (CT) (n = 110) and endoscopic ultrasound (EUS) (n = 50) underestimated pathologic size for gastric GISTs by 0.42 cm, 95% confidence interval (CI): (0.11, 0.73), p = 0.008 and 0.54 cm, 95% CI: (0.25, 0.82), p < 0.001, respectively. ICCs were 0.94 and 0.88 for CT and EUS, respectively. For GISTs ≤ 3 cm, size underestimation was 0.24 cm for CT (n = 28), 95% CI: (0.01, 0.47), p = 0.039 and 0.56 cm for EUS (n = 26), 95% CI: (0.27, 0.84), p < 0.0001. ICCs were 0.72 and 0.55 for CT and EUS, respectively. Spearman's correlation was ≥0.84 for all groups. For GISTs ≤ 3 cm, 6/28 (21.4% p = 0.01) on CT and 7/26 (26.9% p = 0.005) on EUS upgraded risk category using pathologic size versus imaging size. No GISTs ≤ 3 cm downgraded risk categories. Size underestimation persisted for GISTs ≤ 2 cm on EUS (0.39 cm, 95% CI: [0.06, 0.72], p = 0.02, post hoc analysis). Imaging, particularly EUS, underestimates gastric GIST size. Caution should be exercised using imaging alone to risk-stratify gastric GISTs, and to decide between surveillance versus surgery.

Sections du résumé

BACKGROUND BACKGROUND
How well imaging size agrees with pathologic size of gastric gastrointestinal stromal tumors (GISTs) is unknown. GIST risk stratification is based on pathologic size, location, and mitotic rate. To inform decision making, the size discrepancy between imaging and pathology for gastric GISTs was investigated.
METHODS METHODS
Imaging and pathology reports were reviewed for 113 patients. Bland-Altman analyses and intraclass correlation (ICC) assessed agreement of imaging and pathology. Changes in clinical risk category due to size discrepancy were identified.
RESULTS RESULTS
Computed tomography (CT) (n = 110) and endoscopic ultrasound (EUS) (n = 50) underestimated pathologic size for gastric GISTs by 0.42 cm, 95% confidence interval (CI): (0.11, 0.73), p = 0.008 and 0.54 cm, 95% CI: (0.25, 0.82), p < 0.001, respectively. ICCs were 0.94 and 0.88 for CT and EUS, respectively. For GISTs ≤ 3 cm, size underestimation was 0.24 cm for CT (n = 28), 95% CI: (0.01, 0.47), p = 0.039 and 0.56 cm for EUS (n = 26), 95% CI: (0.27, 0.84), p < 0.0001. ICCs were 0.72 and 0.55 for CT and EUS, respectively. Spearman's correlation was ≥0.84 for all groups. For GISTs ≤ 3 cm, 6/28 (21.4% p = 0.01) on CT and 7/26 (26.9% p = 0.005) on EUS upgraded risk category using pathologic size versus imaging size. No GISTs ≤ 3 cm downgraded risk categories. Size underestimation persisted for GISTs ≤ 2 cm on EUS (0.39 cm, 95% CI: [0.06, 0.72], p = 0.02, post hoc analysis).
CONCLUSION CONCLUSIONS
Imaging, particularly EUS, underestimates gastric GIST size. Caution should be exercised using imaging alone to risk-stratify gastric GISTs, and to decide between surveillance versus surgery.

Identifiants

pubmed: 33857332
doi: 10.1002/jso.26494
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

49-58

Informations de copyright

© 2021 Wiley Periodicals LLC.

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Auteurs

Sameer S Apte (SS)

Department of Surgery, The Ottawa Hospital, Ottawa, Ontario, Canada.
Cancer Therapeutics, The Ottawa Hospital Research Institute, Ottawa, Ontario, Canada.
Faculty of Medicine, The University of Ottawa, Ottawa, Ontario, Canada.

Aleksandar Radonjic (A)

Cancer Therapeutics, The Ottawa Hospital Research Institute, Ottawa, Ontario, Canada.
Faculty of Medicine, The University of Ottawa, Ottawa, Ontario, Canada.

Boaz Wong (B)

Cancer Therapeutics, The Ottawa Hospital Research Institute, Ottawa, Ontario, Canada.
Faculty of Medicine, The University of Ottawa, Ottawa, Ontario, Canada.

Brittany Dingley (B)

Department of Surgery, The Ottawa Hospital, Ottawa, Ontario, Canada.
Cancer Therapeutics, The Ottawa Hospital Research Institute, Ottawa, Ontario, Canada.
Faculty of Medicine, The University of Ottawa, Ottawa, Ontario, Canada.

Kerianne Boulva (K)

Department of Surgery, The Ottawa Hospital, Ottawa, Ontario, Canada.
Cancer Therapeutics, The Ottawa Hospital Research Institute, Ottawa, Ontario, Canada.
Faculty of Medicine, The University of Ottawa, Ottawa, Ontario, Canada.

Avijit Chatterjee (A)

Cancer Therapeutics, The Ottawa Hospital Research Institute, Ottawa, Ontario, Canada.
Faculty of Medicine, The University of Ottawa, Ottawa, Ontario, Canada.
Department of Medicine, The Ottawa Hospital, Ottawa, Ontario, Canada.

Bibiana Purgina (B)

Cancer Therapeutics, The Ottawa Hospital Research Institute, Ottawa, Ontario, Canada.
Faculty of Medicine, The University of Ottawa, Ottawa, Ontario, Canada.
Department of Pathology, The Ottawa Hospital, Ottawa, Ontario, Canada.

Timothy Ramsay (T)

Cancer Therapeutics, The Ottawa Hospital Research Institute, Ottawa, Ontario, Canada.
Faculty of Medicine, The University of Ottawa, Ottawa, Ontario, Canada.

Carolyn Nessim (C)

Department of Surgery, The Ottawa Hospital, Ottawa, Ontario, Canada.
Cancer Therapeutics, The Ottawa Hospital Research Institute, Ottawa, Ontario, Canada.
Faculty of Medicine, The University of Ottawa, Ottawa, Ontario, Canada.

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