Yamada Chika, Baba Akira, Matsushima Satoshi, Yamauchi Hideomi, Nagaoka Masato, Suzuki Tomoya, Kato Yuika, Ojiri Hiroya
Department of Radiology, The Jikei University Daisan Hospital, 4-11-1 Izumihoncho Komae-Shi, Tokyo, 2018601, Japan.
Department of Radiology, The Jikei University School of Medicine, 3-25-8, Nishi-Shimbashi, Minato-Ku, Tokyo, 1058461, Japan.
Oral Radiol. 2025 Apr;41(2):231-237. doi: 10.1007/s11282-024-00796-w. Epub 2024 Dec 20.
To 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.
This 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.
Among 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.
DOI ≥ 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.
评估先前报道的定量（肿瘤厚度11毫米和浸润深度[DOI]7.5毫米）和定性（茎突舌肌/舌骨舌肌侵犯[SHMI]）磁共振成像（MRI）参数，以预测临床N0期口腔舌鳞状细胞癌的隐匿性颈部淋巴结转移。
这项单中心回顾性研究纳入了76例患者。两名放射科医生独立审查MRI图像，以评估肿瘤厚度、DOI和SHMI。统计分析评估了这些参数对2年潜在淋巴结转移的预测能力。
在76例病例中，30.2%发生了2年潜在淋巴结转移。对于肿瘤厚度≥11毫米，敏感性、特异性、阳性预测值（PPV）、阴性预测值（NPV）和准确性分别为0.46、0.68、0.37、0.75和0.61。DOI≥7.5毫米的敏感性、特异性及PPV、NPV和准确性分别为0.73、0.59、0.42、0.84和0.63。SHMI的敏感性、特异性、PPV、NPV和准确性分别为0.87、0.51、0.46、0.89和0.63。
DOI≥7.5毫米和SHMI在预测颈部转移方面显示出相当的诊断准确性，超过了>11毫米的肿瘤厚度。这些发现强调了它们在指导选择性颈部清扫决策方面的潜在效用。
