Literature DB >> 15205156

Intraobserver variability in the MR determination of tumor volume in squamous cell carcinoma of the pharynx.

Andrew R Gordon1, Laurie A Loevner, Amita Shukla-Dave, Regina O Redfern, Adina I Sonners, Alex M Kilger, Mark A Elliott, Mitchell Machtay, Randal S Weber, Jerry D Glickson, David I Rosenthal.   

Abstract

BACKGROUND AND
PURPOSE: If tumor volumes are to be used for evaluating responses to treatment and long-term outcomes of patients with primary pharyngeal carcinomas, the reproducibility of these measurements must be established. We determined the intraobserver variability of MR imaging-based volume measurements of these cancers and their regional metastases.
METHODS: We used an interactive computer program (IDL) that enables the extraction of tumor volumes from 3D MR data to obtain 202 volume measurements in 17 patients with pharyngeal carcinoma (two to five time points each). The primary cancer and largest nodal mass were manually outlined on every T2-weighted image of each MR study. The same neuroradiologist reanalyzed this MR dataset 2-41 weeks later. Measurement error and percentage measurement error (intraobserver variability) were determined. Differences in intraobserver variability between primary lesions and nodes, as well as between stages of treatment were tested with a Wilcoxon rank sum test.
RESULTS: The mean and median percentage measurement errors, respectively, were 13% and 12% (range, 0-53%; 95% CI: 10%, 16%) for primary tumors and 9% and 7% (range, 0-37%; 95% CI: 7%, 12%) for nodal metastases. The difference in the percentage measurement error between primary lesions and cervical nodes approached statistical significance (P =.07). Differences in the variation of volume measurements based on the stage of therapy were significant (P =.01).
CONCLUSION: Our results suggest that MR imaging-based tumor volumes are reliably reproducible. Such measurements may be important in predicting patient outcome, determining appropriate therapy, and conducting patient follow-up.

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Year:  2004        PMID: 15205156      PMCID: PMC7975672     

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


  39 in total

1.  Sinonasal tumors and inflammatory tissues: differentiation with MR imaging.

Authors:  P M Som; M D Shapiro; H F Biller; C Sasaki; W Lawson
Journal:  Radiology       Date:  1988-06       Impact factor: 11.105

2.  Variability of tumor volumes in T3-staged head and neck tumors.

Authors:  F A Pameijer; A J Balm; F J Hilgers; S H Muller
Journal:  Head Neck       Date:  1997-01       Impact factor: 3.147

3.  Volumetric measurement of human calf muscle from magnetic resonance imaging.

Authors:  M A Elliott; G A Walter; H Gulish; A S Sadi; D D Lawson; W Jaffe; E K Insko; J S Leigh; K Vandenborne
Journal:  MAGMA       Date:  1997-06       Impact factor: 2.310

4.  The degree to which accuracy of preoperative staging of laryngeal carcinoma has been enhanced by computed tomography.

Authors:  G P Katsantonis; C R Archer; B N Rosenblum; V L Yeager; W H Friedman
Journal:  Otolaryngol Head Neck Surg       Date:  1986-07       Impact factor: 3.497

5.  Computed tomography in patients with laryngeal carcinoma: a clinical perspective.

Authors:  J L Werber; F E Lucente
Journal:  Ann Otol Rhinol Laryngol       Date:  1989-01       Impact factor: 1.547

6.  Local-regional control by conventional radiotherapy according to tumor volume in patients with squamous cell carcinoma of the pharyngolarynx.

Authors:  M Kawashima; T Ogino; H Fujii; S Ishikura; Y Ito; H Ikeda
Journal:  Jpn J Clin Oncol       Date:  1999-10       Impact factor: 3.019

7.  Evaluation of pretreatment computed tomography as a predictor of local control in T1/T2 pyriform sinus carcinoma treated with definitive radiotherapy.

Authors:  F A Pameijer; A A Mancuso; W M Mendenhall; J T Parsons; S K Mukherji; R Hermans; P S Kubilis
Journal:  Head Neck       Date:  1998-03       Impact factor: 3.147

8.  Irradiation alone for supraglottic larynx carcinoma: can CT findings predict treatment results?

Authors:  D E Freeman; A A Mancuso; J T Parsons; W M Mendenhall; R R Million
Journal:  Int J Radiat Oncol Biol Phys       Date:  1990-08       Impact factor: 7.038

Review 9.  The role of modern imaging studies in staging and therapy of head and neck neoplasms.

Authors:  M W van den Brekel; J A Castelijns; G B Snow
Journal:  Semin Oncol       Date:  1994-06       Impact factor: 4.929

10.  Volumetric analysis of tumor extent in nasopharyngeal carcinoma and correlation with treatment outcome.

Authors:  D T Chua; J S Sham; D L Kwong; K S Tai; P M Wu; M Lo; A Yung; D Choy; L Leong
Journal:  Int J Radiat Oncol Biol Phys       Date:  1997-10-01       Impact factor: 7.038

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  11 in total

1.  Volumetric change of human papillomavirus-related neck lymph nodes before, during, and shortly after intensity-modulated radiation therapy.

Authors:  Giuseppe Sanguineti; Francesco Ricchetti; Binbin Wu; Nishant Agrawal; Christine Gourin; Harold Agbahiwe; Shanthi Marur; Stefania Clemente; Todd McNutt; Arlene Forastiere
Journal:  Head Neck       Date:  2012-01-20       Impact factor: 3.147

2.  Volumetric MR imaging of oral, maxillary sinus, oropharyngeal, and hypopharyngeal cancers: correlation between tumor volume and lymph node metastasis.

Authors:  Yasuo Kimura; Misa Sumi; Yoko Ichikawa; Yosuke Kawai; Takashi Nakamura
Journal:  AJNR Am J Neuroradiol       Date:  2005-10       Impact factor: 3.825

3.  Pretreatment tumor volume as a prognostic factor in metastatic colorectal cancer treated with selective internal radiation to the liver using yttrium-90 resin microspheres.

Authors:  Neha Bhooshan; Navesh K Sharma; Shahed Badiyan; Adeel Kaiser; Fred M Moeslein; Young Kwok; Pradip P Amin; Svetlana Kudryasheva; Michael D Chuong
Journal:  J Gastrointest Oncol       Date:  2016-12

4.  Evaluating lingual carcinoma for surgical management: what does volumetric measurement with MRI offer?

Authors:  P W Boland; S R Watt-Smith; K Pataridis; C Alvey; S J Golding
Journal:  Br J Radiol       Date:  2010-11       Impact factor: 3.039

5.  Efficacy of diffusion-weighted imaging for the differentiation between lymphomas and carcinomas of the nasopharynx and oropharynx: correlations of apparent diffusion coefficients and histologic features.

Authors:  Y Ichikawa; M Sumi; M Sasaki; T Sumi; T Nakamura
Journal:  AJNR Am J Neuroradiol       Date:  2011-12-15       Impact factor: 3.825

6.  Clinical efficacy of primary tumor volume measurements: comparison of different primary sites.

Authors:  Eun-Jae Chung; Nam-Joon Lee; Seung-Kuk Baek; Soon-Young Kwon; Jeong-Soo Woo; Kwang-Yoon Jung
Journal:  Clin Exp Otorhinolaryngol       Date:  2009-06-27       Impact factor: 3.372

7.  Longitudinal volume analysis from computed tomography: Reproducibility using adrenal glands as surrogate tumors.

Authors:  Nicolas D Prionas; Marijo A Gillen; John M Boone
Journal:  J Med Phys       Date:  2010-07

Review 8.  Imaging in head and neck cancer.

Authors:  Zoran Rumboldt; Leonie Gordon; Leonie Gordon; Rick Bonsall; Susan Ackermann
Journal:  Curr Treat Options Oncol       Date:  2006-01

9.  Clinical value of (dedicated) 3 Tesla and 7 Tesla MRI for cT1 glottic carcinoma: A feasibility study.

Authors:  Sylvia L van Egmond; Bernard M D Vonck; Johanna J Bluemink; Frank A Pameijer; Jan Willem Dankbaar; Inge Stegeman; Marielle E P Philippens; Cornelis A T van den Berg; Luuk M Janssen; Chris H Terhaard
Journal:  Laryngoscope Investig Otolaryngol       Date:  2019-01-15

10.  Tumor Volumes and Prognosis in Laryngeal Cancer.

Authors:  Mohamad R Issa; Stuart E Samuels; Emily Bellile; Firas L Shalabi; Avraham Eisbruch; Gregory Wolf
Journal:  Cancers (Basel)       Date:  2015-11-10       Impact factor: 6.639

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