Evidence map›Paper›PMID 25893769›Full record

ArticleSurgery today2016

Prediction of sentinel lymph node status using single-photon emission computed tomography (SPECT)/computed tomography (CT) imaging of breast cancer.

Mai Tomiguchi, Mutsuko Yamamoto-Ibusuki, Yutaka Yamamoto, Mamiko Fujisue, Shinya Shiraishi, Touko Inao, Kei-ichi Murakami, Yumi Honda, Yasuyuki Yamashita, Ken-ichi Iyama and 1 more

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Article in Surgery today, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

11 authors.

Mai TomiguchiDepartment of Breast and Endocrine Surgery, Faculty of Medical Sciences, Graduate School of Medical Sciences, Kumamoto University, 1-1-1 Honjo, Chuo-ku, Kumamoto, Kumamoto, 860-8556, Japan.
Mutsuko Yamamoto-IbusukiDepartment of Breast and Endocrine Surgery, Faculty of Medical Sciences, Graduate School of Medical Sciences, Kumamoto University, 1-1-1 Honjo, Chuo-ku, Kumamoto, Kumamoto, 860-8556, Japan.
Yutaka YamamotoDepartment of Breast and Endocrine Surgery, Faculty of Medical Sciences, Graduate School of Medical Sciences, Kumamoto University, 1-1-1 Honjo, Chuo-ku, Kumamoto, Kumamoto, 860-8556, Japan. ys-yama@triton.ocn.ne.jp.
Mamiko FujisueDepartment of Breast and Endocrine Surgery, Faculty of Medical Sciences, Graduate School of Medical Sciences, Kumamoto University, 1-1-1 Honjo, Chuo-ku, Kumamoto, Kumamoto, 860-8556, Japan.
Shinya ShiraishiDepartment of Diagnostic Radiology, Faculty of Medical Sciences, Kumamoto University, 1-1-1 Honjo, Chuo-ku, Kumamoto, Kumamoto, 860-8556, Japan.
Touko InaoDepartment of Breast and Endocrine Surgery, Faculty of Medical Sciences, Graduate School of Medical Sciences, Kumamoto University, 1-1-1 Honjo, Chuo-ku, Kumamoto, Kumamoto, 860-8556, Japan.
Kei-ichi MurakamiDepartment of Breast and Endocrine Surgery, Faculty of Medical Sciences, Graduate School of Medical Sciences, Kumamoto University, 1-1-1 Honjo, Chuo-ku, Kumamoto, Kumamoto, 860-8556, Japan.
Yumi HondaDepartment of Surgical Pathology, Kumamoto University Hospital, 1-1-1 Honjo, Chuo-ku, Kumamoto, Kumamoto, 860-8556, Japan.
Yasuyuki YamashitaDepartment of Diagnostic Radiology, Faculty of Medical Sciences, Kumamoto University, 1-1-1 Honjo, Chuo-ku, Kumamoto, Kumamoto, 860-8556, Japan.
Ken-ichi IyamaDepartment of Surgical Pathology, Kumamoto University Hospital, 1-1-1 Honjo, Chuo-ku, Kumamoto, Kumamoto, 860-8556, Japan.
Hirotaka IwaseDepartment of Breast and Endocrine Surgery, Faculty of Medical Sciences, Graduate School of Medical Sciences, Kumamoto University, 1-1-1 Honjo, Chuo-ku, Kumamoto, Kumamoto, 860-8556, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeSingle-photon emission computed tomography (SPECT)/computed tomography (CT) improves the anatomical identification of sentinel lymph nodes (SNs). We aimed to evaluate the possibility of predicting the SN status using SPECT/CT.

methodsSN mapping using a SPECT/CT system was performed in 381 cases of clinically node-negative, operable invasive breast cancer. We evaluated and compared the values of SN mapping on SPECT/CT, the findings of other modalities and clinicopathological factors in predicting the SN status.

resultsPatients with SNs located in the Level I area were evaluated. Of the 355 lesions (94.8 %) assessed, six cases (1.6 %) were not detected using any imaging method. According to the final histological diagnosis, 298 lesions (78.2 %) were node negative and 83 lesions (21.7 %) were node positive. The univariate analysis showed that SN status was significantly correlated with the number of SNs detected on SPECT/CT in the Level I area (P = 0.0048), total number of SNs detected on SPECT/CT (P = 0.011), findings of planar lymphoscintigraphy (P = 0.011) and findings of a handheld gamma probe during surgery (P = 0.012). According to the multivariate analysis, the detection of multiple SNs on SPECT/CT imaging helped to predict SN metastasis.

conclusionsThe number of SNs located in the Level I area detected using the SPECT/CT system may be a predictive factor for SN metastasis.

Indexed as

Sentinel Lymph Node BiopsyTomography, Emission-Computed, Single-PhotonTomography, X-Ray ComputedAgedBreast NeoplasmsFemaleHumansLymphatic MetastasisLymph NodesLymphoscintigraphyMiddle AgedPredictive Value of TestsBreast cancerMetastasisSentinel lymph node biopsySN mappingSPECT/CT

Identifiers

PMID25893769

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.