Evidence map›Paper›PMID 39704967›Full record

ArticleOral radiology2025

Diagnostic performance of depth of invasion, thickness, and styloglossus and hyoglossus muscle invasion on magnetic resonance imaging in predicting potential neck lymph node metastasis in clinical N0 tongue cancer.

Chika Yamada, Akira Baba, Satoshi Matsushima, Hideomi Yamauchi, Masato Nagaoka, Tomoya Suzuki, Yuika Kato, Hiroya Ojiri

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Article in Oral radiology, 2025. 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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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Chika YamadaDepartment of Radiology, The Jikei University Daisan Hospital, 4-11-1 Izumihoncho Komae-Shi, Tokyo, 2018601, Japan.
Akira BabaDepartment of Radiology, The Jikei University School of Medicine, 3-25-8, Nishi-Shimbashi, Minato-Ku, Tokyo, 1058461, Japan. akirababa0120@gmail.com.ORCID 0000-0001-6913-5307
Satoshi MatsushimaDepartment of Radiology, The Jikei University School of Medicine, 3-25-8, Nishi-Shimbashi, Minato-Ku, Tokyo, 1058461, Japan.
Hideomi YamauchiDepartment of Radiology, The Jikei University School of Medicine, 3-25-8, Nishi-Shimbashi, Minato-Ku, Tokyo, 1058461, Japan.
Masato NagaokaDepartment of Otorhinolaryngology, The Jikei University School of Medicine, 3-25-8, Nishi-shimbashi, Minato-ku, Tokyo, 1058461, Japan.
Tomoya SuzukiDepartment of Radiology, The Jikei University School of Medicine, 3-25-8, Nishi-Shimbashi, Minato-Ku, Tokyo, 1058461, Japan.
Yuika KatoDepartment of Radiology, The Jikei University School of Medicine, 3-25-8, Nishi-Shimbashi, Minato-Ku, Tokyo, 1058461, Japan.
Hiroya OjiriDepartment of Radiology, The Jikei University School of Medicine, 3-25-8, Nishi-Shimbashi, Minato-Ku, Tokyo, 1058461, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo evaluate previously reported quantitative (tumor thickness 11 mm and depth of invasion [DOI] 7.5 mm) and qualitative (styloglossus/hyoglossus muscle invasion [SHMI]) magnetic resonance imaging (MRI) parameters for predicting occult neck node metastasis in clinical N0 oral tongue squamous cell carcinoma.

methodsThis single-center retrospective study included 76 patients. MRI images were independently reviewed by two radiologists for tumor thickness, DOI, and SHMI. Statistical analysis assessed the predictive capability of these parameters for 2-year potential lymph node metastasis.

resultsAmong the 76 cases, 30.2% developed 2-year potential lymph node metastasis. For tumor thickness ≥ 11 mm, the sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and accuracy were 0.46, 0.68, 0.37, 0.75, and 0.61, respectively. DOI ≥ 7.5 mm exhibited a sensitivity, specificity, PPV, NPV, and accuracy of 0.73, 0.59, 0.42, 0.84, and 0.63, respectively. SHMI demonstrated a sensitivity, specificity, PPV, NPV, and accuracy of 0.87, 0.51, 0.46, 0.89, and 0.63, respectively.

conclusionDOI ≥ 7.5 mm and SHMI demonstrated comparable diagnostic accuracy in predicting neck metastasis, surpassing tumor thickness of > 11 mm. These findings underscore their potential utility in guiding decisions concerning elective neck dissection.

Indexed as

Carcinoma, Squamous CellLymphatic MetastasisMagnetic Resonance ImagingTongue NeoplasmsAdultAgedAged, 80 and overFemaleHumansMaleMiddle AgedNeckNeoplasm InvasivenessNeoplasm StagingPredictive Value of TestsRetrospective StudiesCarcinomaMagnetic resonance imagingNeck dissectionSquamous cell neoplasmsTongue cancer

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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.