Optimal definition of biological tumor volume using positron emission tomography in an animal model

Ingrid Wu, Hao Wang, David Huso, Richard L. Wahl

Research output: Contribution to journalArticle

Abstract

Background: The goal of the study is to investigate 18F-fluorodeoxyglucose positron emission tomography (18F-FDG-PET)’s ability to delineate the viable portion of a tumor in an animal model using cross-sectional histology as the validation standard. Methods: Syngeneic mammary tumors were grown in female Lewis rats. Macroscopic histological images of the transverse tumor sections were paired with their corresponding FDG micro-PET slices of the same cranial-caudal location to form 51 pairs of co-registered images. A binary classification system based on four FDG-PET tumor contouring methods was applied to each pair of images: threshold based on (1) percentage of maximum tumor voxel counts (Cmax), (2) percentage of tumor peak voxel counts (Cpeak), (3) multiples of liver mean voxel counts (Cliver) derived from PERCIST, and (4) an edge-detection-based automated contouring system. The sensitivity, which represented the percentage of viable tumor areas correctly delineated by the gross tumor area (GTA) generated from a particular tumor contouring method, and the ratio (expressed in percentage) of the overestimated areas of a gross tumor area (GTAOE)/whole tumor areas on the macroscopic histology (WTAH), which represented how much a particular GTA extended into the normal structures surrounding the primary tumor target, were calculated. Results: The receiver operating characteristic curves of all pairs of FDG-PET images have a mean area under the curve value of 0.934 (CI of 0.911–0.954), for representing how well each contouring method accurately delineated the viable tumor area. FDG-PET single value threshold tumor contouring based on 30 and 35 % of tumor Cmax or Cpeak and 6 × Cliver + 2 × SD achieved a sensitivity greater than 90 % with a GTAOE/WTAH ratio less than 10 %. Contouring based on 50 % of Cmax or Cpeak had a much lower sensitivity of 67.2–75.6 % with a GTAOE/WTAH ratio of 1.1–1.7 %. Automated edge detection was not reliable in this system. Conclusions: Single-value-threshold tumor contouring using 18F-FDG-PET is able to accurately delineate the viable portion of a tumor. 30 and 35 % of Cmax, 30 and 35 % of Cpeak, and 6 × Cliver + 2 × SD are three appropriate threshold values to delineate viable tumor volume in our animal model. The commonly used threshold value of 50 % of Cmax or Cpeak failed to detect one third of the viable tumor volume in our model.

Original languageEnglish (US)
Article number58
JournalEJNMMI Research
Volume5
Issue number1
DOIs
StatePublished - Dec 1 2015

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Tumor Burden
Positron-Emission Tomography
Animal Models
Neoplasms
Histology
Fluorodeoxyglucose F18
ROC Curve

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging

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Optimal definition of biological tumor volume using positron emission tomography in an animal model. / Wu, Ingrid; Wang, Hao; Huso, David; Wahl, Richard L.

In: EJNMMI Research, Vol. 5, No. 1, 58, 01.12.2015.

Research output: Contribution to journalArticle

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abstract = "Background: The goal of the study is to investigate 18F-fluorodeoxyglucose positron emission tomography (18F-FDG-PET)’s ability to delineate the viable portion of a tumor in an animal model using cross-sectional histology as the validation standard. Methods: Syngeneic mammary tumors were grown in female Lewis rats. Macroscopic histological images of the transverse tumor sections were paired with their corresponding FDG micro-PET slices of the same cranial-caudal location to form 51 pairs of co-registered images. A binary classification system based on four FDG-PET tumor contouring methods was applied to each pair of images: threshold based on (1) percentage of maximum tumor voxel counts (Cmax), (2) percentage of tumor peak voxel counts (Cpeak), (3) multiples of liver mean voxel counts (Cliver) derived from PERCIST, and (4) an edge-detection-based automated contouring system. The sensitivity, which represented the percentage of viable tumor areas correctly delineated by the gross tumor area (GTA) generated from a particular tumor contouring method, and the ratio (expressed in percentage) of the overestimated areas of a gross tumor area (GTAOE)/whole tumor areas on the macroscopic histology (WTAH), which represented how much a particular GTA extended into the normal structures surrounding the primary tumor target, were calculated. Results: The receiver operating characteristic curves of all pairs of FDG-PET images have a mean area under the curve value of 0.934 (CI of 0.911–0.954), for representing how well each contouring method accurately delineated the viable tumor area. FDG-PET single value threshold tumor contouring based on 30 and 35 {\%} of tumor Cmax or Cpeak and 6 × Cliver + 2 × SD achieved a sensitivity greater than 90 {\%} with a GTAOE/WTAH ratio less than 10 {\%}. Contouring based on 50 {\%} of Cmax or Cpeak had a much lower sensitivity of 67.2–75.6 {\%} with a GTAOE/WTAH ratio of 1.1–1.7 {\%}. Automated edge detection was not reliable in this system. Conclusions: Single-value-threshold tumor contouring using 18F-FDG-PET is able to accurately delineate the viable portion of a tumor. 30 and 35 {\%} of Cmax, 30 and 35 {\%} of Cpeak, and 6 × Cliver + 2 × SD are three appropriate threshold values to delineate viable tumor volume in our animal model. The commonly used threshold value of 50 {\%} of Cmax or Cpeak failed to detect one third of the viable tumor volume in our model.",
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