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Differential diagnosis of posterior fossa brain tumors: Multiple discriminant analysis of Tl-SPECT and FDG-PET.

Abstract This study investigated the combined capability of thallium-201 (Tl)-SPECT and fluorine-18-fluoro-deoxy-glucose (FDG)-PET for differential diagnosis of posterior fossa brain tumors using multiple discriminant analysis.This retrospective study was conducted under approval of the institutional review board. In the hospital information system, 27 patients with posterior fossa intra-axial tumor between January 2009 and June 2015 were enrolled and grouped as the following 7 entities: low grade glioma (LGG) 6, anaplastic astrocytoma (AA) 2, glioblastoma (GBM) 3, medulloblastoma (MB) 3, hemangioblastoma (HB) 6, metastatic tumor (Mets) 3, and malignant lymphoma (ML) 4. Tl and FDG uptakes were measured at the tumors and control areas, and several indexes were derived. Using indexes selected by the stepwise method, discriminant analysis was conducted with leave-one-out cross-validation.The predicted accuracy for tumor classification was 70.4% at initial analysis and 55.6% at cross-validation to differentiate 7 tumor entities. HB, LGG, and ML were well-discriminated, but AA was located next to LGG. GBM, MB, and Mets largely overlapped and could not be well distinguished even applying multiple discriminant analysis. Correct classification in the original and cross-validation analyses was 44.4% and 33.3% for Tl-SPECT and 55.6% and 48.1% for FDG-PET.
PMID
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Authors

Mayor MeshTerms
Keywords
Journal Title medicine
Publication Year Start




PMID- 28816956
OWN - NLM
STAT- In-Process
DA  - 20170817
LR  - 20170817
IS  - 1536-5964 (Electronic)
IS  - 0025-7974 (Linking)
VI  - 96
IP  - 33
DP  - 2017 Aug
TI  - Differential diagnosis of posterior fossa brain tumors: Multiple discriminant
      analysis of Tl-SPECT and FDG-PET.
PG  - e7767
LID - 10.1097/MD.0000000000007767 [doi]
AB  - This study investigated the combined capability of thallium-201 (Tl)-SPECT and
      fluorine-18-fluoro-deoxy-glucose (FDG)-PET for differential diagnosis of
      posterior fossa brain tumors using multiple discriminant analysis.This
      retrospective study was conducted under approval of the institutional review
      board. In the hospital information system, 27 patients with posterior fossa
      intra-axial tumor between January 2009 and June 2015 were enrolled and grouped as
      the following 7 entities: low grade glioma (LGG) 6, anaplastic astrocytoma (AA)
      2, glioblastoma (GBM) 3, medulloblastoma (MB) 3, hemangioblastoma (HB) 6,
      metastatic tumor (Mets) 3, and malignant lymphoma (ML) 4. Tl and FDG uptakes were
      measured at the tumors and control areas, and several indexes were derived. Using
      indexes selected by the stepwise method, discriminant analysis was conducted with
      leave-one-out cross-validation.The predicted accuracy for tumor classification
      was 70.4% at initial analysis and 55.6% at cross-validation to differentiate 7
      tumor entities. HB, LGG, and ML were well-discriminated, but AA was located next 
      to LGG. GBM, MB, and Mets largely overlapped and could not be well distinguished 
      even applying multiple discriminant analysis. Correct classification in the
      original and cross-validation analyses was 44.4% and 33.3% for Tl-SPECT and 55.6%
      and 48.1% for FDG-PET.
FAU - Yamauchi, Moritaka
AU  - Yamauchi M
AD  - aDepartment of Diagnostic Imaging and Nuclear Medicine bDepartment of
      Neurosurgery, Kyoto University Graduate School of Medicine, Kyoto, Japan.
FAU - Okada, Tomohisa
AU  - Okada T
FAU - Okada, Tsutomu
AU  - Okada T
FAU - Yamamoto, Akira
AU  - Yamamoto A
FAU - Fushimi, Yasutaka
AU  - Fushimi Y
FAU - Arakawa, Yoshiki
AU  - Arakawa Y
FAU - Miyamoto, Susumu
AU  - Miyamoto S
FAU - Togashi, Kaori
AU  - Togashi K
LA  - eng
PT  - Journal Article
PL  - United States
TA  - Medicine (Baltimore)
JT  - Medicine
JID - 2985248R
EDAT- 2017/08/18 06:00
MHDA- 2017/08/18 06:00
CRDT- 2017/08/18 06:00
AID - 10.1097/MD.0000000000007767 [doi]
AID - 00005792-201708180-00023 [pii]
PST - ppublish
SO  - Medicine (Baltimore). 2017 Aug;96(33):e7767. doi: 10.1097/MD.0000000000007767.