PMID- 37586901 OWN - NLM STAT- MEDLINE DCOM- 20231211 LR - 20240214 IS - 2212-4411 (Electronic) VI - 136 IP - 6 DP - 2023 Dec TI - Efficacy of radiological depth of invasion measurements on magnetic resonance images acquired at different magnetic field strengths and imaging sequences in predicting cervical lymph node metastasis and other outcomes in tongue cancer. PG - 731-740 LID - S2212-4403(23)00560-6 [pii] LID - 10.1016/j.oooo.2023.07.015 [doi] AB - OBJECTIVES: We investigated the correlation between magnetic resonance imaging (MRI) parameters and tumor pathological depth of invasion (pDOI), between pDOI and radiological DOI (rDOI), between rDOI and duration between biopsy and MRI, and between rDOI and duration between MRI and surgery to determine the efficacy of rDOI in identifying small lesions and other conditions. STUDY DESIGN: We examined 36 adult patients who had been diagnosed histopathologically with cancer of the tongue and had undergone a glossectomy. Using 1.5 Tesla (T) and 3.0T MRI, we measured rDOI at the deepest infiltration point on 4 MRI sequences. We calculated the correlations between rDOI and the variables examined by Spearman rho analysis and evaluated the diagnostic performance of rDOI by receiver operating characteristic curve analysis. RESULTS: Axial T2-weighted images using 1.5T MRI provided the closest approximation of pDOI. Although the correlation between rDOI and pDOI was significant, rDOI showed poor or acceptable discrimination in identifying small lesions and other conditions. There were no significant correlations between rDOI and the time between biopsy and MRI or between MRI and surgery. CONCLUSIONS: The correlation between rDOI and pDOI is significant, but rDOI is ineffective in predicting malignancy and other conditions. Axial T2-weighted images using 1.5T MRI provide the closest approximation of pDOI. CI - Copyright (c) 2023 Elsevier Inc. All rights reserved. FAU - Cebeci, Suleyman AU - Cebeci S AD - Department of Otorhinolaryngology/Head and Neck Surgery, Gazi University Faculty of Medicine, Ankara, Turkey. Electronic address: scebeci@gazi.edu.tr. FAU - Tokgoz, Nil AU - Tokgoz N AD - Department of Radiology, Gazi University Faculty of Medicine, Ankara, Turkey. FAU - Pula, Drilon AU - Pula D AD - Department of Otorhinolaryngology/Head and Neck Surgery, Gazi University Faculty of Medicine, Ankara, Turkey. FAU - Yazol, Merve AU - Yazol M AD - Department of Radiology, Gazi University Faculty of Medicine, Ankara, Turkey. FAU - Ogut, Betul AU - Ogut B AD - Department of Pathology, Gazi University Faculty of Medicine, Ankara, Turkey. FAU - Sahin, Muammer Melih AU - Sahin MM AD - Department of Otorhinolaryngology/Head and Neck Surgery, Gazi University Faculty of Medicine, Ankara, Turkey. FAU - Karamert, Recep AU - Karamert R AD - Department of Otorhinolaryngology/Head and Neck Surgery, Gazi University Faculty of Medicine, Ankara, Turkey. FAU - Duzlu, Mehmet AU - Duzlu M AD - Department of Otorhinolaryngology/Head and Neck Surgery, Gazi University Faculty of Medicine, Ankara, Turkey. LA - eng PT - Journal Article DEP - 20230720 PL - United States TA - Oral Surg Oral Med Oral Pathol Oral Radiol JT - Oral surgery, oral medicine, oral pathology and oral radiology JID - 101576782 SB - IM MH - Adult MH - Humans MH - *Tongue Neoplasms/diagnostic imaging/surgery/pathology MH - Lymphatic Metastasis/diagnostic imaging MH - Magnetic Resonance Imaging/methods MH - Radiography MH - Magnetic Fields MH - Retrospective Studies COIS- Declaration of interest The authors declare they have no conflicts of interest. EDAT- 2023/08/17 00:42 MHDA- 2023/12/11 12:42 CRDT- 2023/08/16 21:57 PHST- 2023/01/04 00:00 [received] PHST- 2023/07/07 00:00 [revised] PHST- 2023/07/16 00:00 [accepted] PHST- 2023/12/11 12:42 [medline] PHST- 2023/08/17 00:42 [pubmed] PHST- 2023/08/16 21:57 [entrez] AID - S2212-4403(23)00560-6 [pii] AID - 10.1016/j.oooo.2023.07.015 [doi] PST - ppublish SO - Oral Surg Oral Med Oral Pathol Oral Radiol. 2023 Dec;136(6):731-740. doi: 10.1016/j.oooo.2023.07.015. Epub 2023 Jul 20.