Literature DB >> 30166432

Radiologic-Pathologic Correlation of Tumor Thickness and Its Prognostic Importance in Squamous Cell Carcinoma of the Oral Cavity: Implications for the Eighth Edition Tumor, Node, Metastasis Classification.

E A M Weimar1, S H Huang2, L Lu3, B O'Sullivan4, B Perez-Ordonez5, I Weinreb5, A Hope4, L Tong4, D Goldstein6, J Irish6, J R de Almeida6, S Bratman4, W Xu3, E Yu7.   

Abstract

BACKGROUND AND
PURPOSE: Addressing the performance of an imaging-based parameter compared to a "gold standard" pathologic measurement is essential to achieve accurate clinical T-classification. Our aim was to determine the radiologic-pathologic tumor thickness correlation and its prognostic value in oral squamous cell carcinoma.
MATERIALS AND METHODS: All pathologic T1-T3 (seventh edition of the Cancer Staging Manual of the American Joint Committee on Cancer) oral squamous cell carcinomas diagnosed between 2010 and 2015 were reviewed. Radiologic tumor thickness was measured on preoperative CT or MR imaging blinded to pathology. The radiologic-pathologic tumor thickness correlation was calculated. The impact of the imaging-to-surgery time interval and imaging technique on the correlation was explored. Intra-/interrater reliability on radiologic tumor thickness was calculated. The correlation of radiologic-versus-pathologic tumor thickness and its performance as the seventh edition T-category modifier was evaluated. Multivariable analysis assessed the prognostic value of the radiologic tumor thickness for overall survival adjusted for age, seventh edition T-category, and performance status.
RESULTS: For 354 consecutive patients, the radiologic-pathologic tumor thickness correlation was similar for the image-to-surgery interval of ≤4.0 weeks (ρ = 0.76) versus 4-8 weeks (ρ = 0.80) but lower in those with more than an 8-week interval (ρ = 0.62). CT and MR imaging had similar correlations (0.76 and 0.80). Intrarater and interrater reliability was excellent (0.88 and 0.84). Excluding 19 cases with an imaging-to-surgery interval of >8 weeks, 335 patients were eligible for further analysis. The radiologic-pathologic tumor thickness correlation was 0.78. The accuracy for upstaging the T-classification based on radiologic tumor thickness was 83% for pathologic T1 and 74% for pathologic T2 tumors. Multivariable analysis confirmed the prognostic value of radiologic tumor thickness (hazard ratio = 1.5, P = .02) for overall survival.
CONCLUSIONS: This study demonstrates a good radiologic-pathologic tumor thickness correlation. Intrarater and interrater reliability for radiologic tumor thickness was excellent. Radiologically thicker tumor was predictive of inferior survival.
© 2018 by American Journal of Neuroradiology.

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Year:  2018        PMID: 30166432     DOI: 10.3174/ajnr.A5782

Source DB:  PubMed          Journal:  AJNR Am J Neuroradiol        ISSN: 0195-6108            Impact factor:   3.825


  9 in total

1.  Comparison of Intraoperative Sonography and Histopathologic Evaluation of Tumor Thickness and Depth of Invasion in Oral Tongue Cancer: A Pilot Study.

Authors:  B C Yoon; M D Bulbul; P M Sadow; W C Faquin; H D Curtin; M A Varvares; A F Juliano
Journal:  AJNR Am J Neuroradiol       Date:  2020-06-18       Impact factor: 3.825

2.  Combination of compressed sensing and parallel imaging for T2-weighted imaging of the oral cavity in healthy volunteers: comparison with parallel imaging.

Authors:  Hayato Tomita; Yuki Deguchi; Hirofumi Fukuchi; Atsuko Fujikawa; Yoshiko Kurihara; Kaoru Kitsukawa; Hidefumi Mimura; Yasuyuki Kobayashi
Journal:  Eur Radiol       Date:  2021-01-30       Impact factor: 5.315

3.  Radiological tumor thickness as a clinical predictor of pathological depth of invasion in oral squamous cell carcinoma: a retrospective analysis.

Authors:  Kinjal Shankar Majumdar; Pallvi Kaul; Vikramjit Singh Kailey; Dungala Dileep Maharaj; Abhinav Thaduri; Ipsit Ilahi; Achyuth Panuganti; Shahab Ali Usmani; Abhijeet Singh; Dharma Ram Poonia; Mahendra Pal Singh; Yogesh Bahurupi; Ashok Singh; Satya Prakash Agarwal; Pankaj Sharma; Rajkumar Kottayasamy Seenivasagam
Journal:  Eur Arch Otorhinolaryngol       Date:  2022-10-12       Impact factor: 3.236

4.  Comparison between computed tomography and ultrasound for presurgical evaluation of oral tongue squamous cell carcinoma tumor thickness.

Authors:  Byung C Yoon; Karen Buch; Mary E Cunnane; Peter M Sadow; Mark A Varvares; Amy F Juliano
Journal:  Am J Otolaryngol       Date:  2021-05-27       Impact factor: 2.873

5.  Dynamic manoeuvres on MRI in oral cancers - A pictorial essay.

Authors:  Diva Shah
Journal:  Indian J Radiol Imaging       Date:  2020-10-15

6.  Derivation and Validation of a Prognostic Scoring Model Based on Clinical and Pathological Features for Risk Stratification in Oral Squamous Cell Carcinoma Patients: A Retrospective Multicenter Study.

Authors:  Jiaying Zhou; Huan Li; Bin Cheng; Ruoyan Cao; Fengyuan Zou; Dong Yang; Xiang Liu; Ming Song; Tong Wu
Journal:  Front Oncol       Date:  2021-05-28       Impact factor: 6.244

7.  A comparative study between CT, MRI, and intraoral US for the evaluation of the depth of invasion in early stage (T1/T2) tongue squamous cell carcinoma.

Authors:  Masaki Takamura; Taichi Kobayashi; Yutaka Nikkuni; Kouji Katsura; Manabu Yamazaki; Satoshi Maruyama; Jun-Ichi Tanuma; Takafumi Hayashi
Journal:  Oral Radiol       Date:  2021-05-10       Impact factor: 1.852

8.  MRI before biopsy correlates with depth of invasion corrected for shrinkage rate of the histopathological specimen in tongue carcinoma.

Authors:  Hiroyuki Harada; Hirofumi Tomioka; Hideaki Hirai; Takeshi Kuroshima; Yu Oikawa; Hitomi Nojima; Junichiro Sakamoto; Tohru Kurabayashi; Kou Kayamori; Tohru Ikeda
Journal:  Sci Rep       Date:  2021-10-25       Impact factor: 4.379

9.  Subtraction iodine imaging with area detector CT to improve tumor delineation and measurability of tumor size and depth of invasion in tongue squamous cell carcinoma.

Authors:  Takashi Hiyama; Hirofumi Kuno; Kotaro Sekiya; So Tsushima; Shioto Oda; Tatsushi Kobayashi
Journal:  Jpn J Radiol       Date:  2021-09-16       Impact factor: 2.374

  9 in total

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