【PET】基于PET / CT的淋巴结分期中淋巴结密度的SUVmax与CT辐射度分析的相关性

2017-02-26 19:38:29 admin 7

Correlation Between SUVmax and CT Radiomic Analysis Using Lymph Node Density in PET/CT-Based Lymph Node Staging.

Journal:J Nucl Med. 2017 Feb

Author:Giesel FL1,2, Schneider F1, Kratochwil C1, Rath D1, Moltz J3, Holland-Letz T4, Kauczor HU5,6, Schwartz LH7, Haberkorn U1,2,6, Flechsig P8,5,6.

Author information

    1.Department of Nuclear Medicine, University Hospital Heidelberg, Heidelberg, Germany.

    2.Clinical Cooperation Unit, Department of Nuclear Medicine, DKFZ, Heidelberg, Germany.

    3.Fraunhofer Institute for Medical Image Computing, Bremen, Germany.

    4.Department of Biostatistics, German Cancer Research Center, Heidelberg, Germany.

    5.Department of Diagnostic and Interventional Radiology, University Hospital Heidelberg, Heidelberg, Germany.

    6.Translational Lung Research Center Heidelberg, Heidelberg, Germany; and.

    7.Department of Radiology, New York-Presbyterian/Columbia University Medical Centre, New York, New York.

    8.Department of Nuclear Medicine, University Hospital Heidelberg, Heidelberg, Germany paul.


In patients with lung cancer (LC), malignant melanoma (MM), gastroenteropancreatic neuroendocrine tumors (GEP NETs), and prostate cancer (PCA), lymph node (LN) staging is often performed by 18F-FDG PET/CT (LC and MM), 68Ga-DOTATOC PET/CT (GEP NET), and 68Ga-labeled prostate-specific membrane antigen PET/CT (PCA) but is sometimes not accurate because of indeterminate PET findings. To better evaluate malignant LN infiltration, additional surrogate parameters, especially in cases with indeterminate PET findings, would be helpful. The purpose of this study was to evaluate whether SUVmax in the PET examination might correlate with semiautomated densitymeasurements of LNs in the CT component of the PET/CT examination.


After approval by the institutional review board, 1,022 LNs in the PET/CT examinations of 148 patients were retrospectively analyzed (LC: 327 LNs of 40 patients; MM: 224 LNs of 33 patients; GEP NET: 217 LNs of 35 patients; and PCA: 254 LNs of 40 patients). PET/CT was performed before surgery, biopsy, chemotherapy, or internal or external radiation therapy, according to the clinical schedule; patients with prior chemotherapy or radiation therapy were excluded. SUVmax analyses were based on uptake 60 min after tracer injection, and volumetric CT histogram analyses were based on the unenhanced CT images of the PET/CT scan.


PET findings were considered positive or negative on the basis of SUVmax in the LN compared with that in the blood pool; histologic confirmation was not available. Of the 1,022 LNs, 331 were PET-positive (3 times the SUVmax of the blood pool), 86 were PET-indeterminate (1-3 times the SUVmax of the blood pool), and 605 were PET-negative (less than the SUVmax of the blood pool). PET-positive LNs had significantly higher CT densities than PET-negative LNs, irrespective of the type of cancer.


CT density measurements of LNs in patients with LC, MM, GEP NET, and PCA correlated with18F-FDG uptake, 68Ga-DOTATOC uptake, and 68Ga-PSMA uptake, respectively, and might therefore serve as an additional surrogate parameter for differentiating between malignant and benign LNs. The use of a 7.5-Hounsfield unit CT density threshold to differentiate between malignant and benign LN infiltration and 20 Hounsfield units to exclude benign LN processes might be possible in clinical routine and would be especially helpful for PET-indeterminate LNs.


DOTATOC PET/CT; FDG PET/CT; N staging; PSMA PET/CT; radiomics





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