M Sasaki1, S Eida, M Sumi, T Nakamura. 1. Department of Radiology and Cancer Biology, Nagasaki University School of Dentistry, Japan.
Abstract
BACKGROUND AND PURPOSE: CT and MR imaging features of benign and malignant sinonasal lesions are often nonspecific. Therefore, we evaluated the ADC-based differentiation of these lesions. MATERIALS AND METHODS: We retrospectively assessed ADCs of 61 patients with histologically proved sinonasal tumors and tumorlike lesions: 19 benign lesions, 28 malignant tumors, and 14 inflammatory lesions. Overall ADCs and percentages of total tumor area with extremely low, low, intermediate, or high ADCs (ADC mapping) were determined by using 2 b-values (500 and 1000 s/mm(2)). RESULTS: ADCs of malignant tumors (0.87 ± 0.32 × 10(-3) mm(2)/s) were significantly lower than those of benign (1.35 ± 0.29 × 10(-3) mm(2)/s, P < .0001) and inflammatory (1.50 ± 0.50 × 10(-3) mm(2)/s, P = .0002) lesions. On ADC mapping, percentages of total tumor area within malignant tumors having extremely low or low ADCs were significantly (P < .0001) greater than those within benign and inflammatory lesions. Cutoff points for ADC mapping (≥78% of tumor areas having extremely low or low ADCs) effectively differentiated benign or inflammatory lesions and malignant tumors with 75% sensitivity, 94% specificity, 85% accuracy, and 91% positive and 82% negative predictive values, respectively. ADCs also effectively discriminated lymphomas and SCCs from other malignant tumors. CONCLUSIONS: ADC mapping may be an effective MR imaging tool for the differentiation of benign/inflammatory lesions from malignant tumors in the sinonasal area.
BACKGROUND AND PURPOSE: CT and MR imaging features of benign and malignant sinonasal lesions are often nonspecific. Therefore, we evaluated the ADC-based differentiation of these lesions. MATERIALS AND METHODS: We retrospectively assessed ADCs of 61 patients with histologically proved sinonasal tumors and tumorlike lesions: 19 benign lesions, 28 malignant tumors, and 14 inflammatory lesions. Overall ADCs and percentages of total tumor area with extremely low, low, intermediate, or high ADCs (ADC mapping) were determined by using 2 b-values (500 and 1000 s/mm(2)). RESULTS: ADCs of malignant tumors (0.87 ± 0.32 × 10(-3) mm(2)/s) were significantly lower than those of benign (1.35 ± 0.29 × 10(-3) mm(2)/s, P < .0001) and inflammatory (1.50 ± 0.50 × 10(-3) mm(2)/s, P = .0002) lesions. On ADC mapping, percentages of total tumor area within malignant tumors having extremely low or low ADCs were significantly (P < .0001) greater than those within benign and inflammatory lesions. Cutoff points for ADC mapping (≥78% of tumor areas having extremely low or low ADCs) effectively differentiated benign or inflammatory lesions and malignant tumors with 75% sensitivity, 94% specificity, 85% accuracy, and 91% positive and 82% negative predictive values, respectively. ADCs also effectively discriminated lymphomas and SCCs from other malignant tumors. CONCLUSIONS: ADC mapping may be an effective MR imaging tool for the differentiation of benign/inflammatory lesions from malignant tumors in the sinonasal area.
Authors: C R Habermann; C Arndt; J Graessner; L Diestel; K U Petersen; F Reitmeier; J O Ussmueller; G Adam; M Jaehne Journal: AJNR Am J Neuroradiol Date: 2009-01-08 Impact factor: 3.825
Authors: Z Xiao; Z Tang; J Qiang; S Wang; W Qian; Y Zhong; R Wang; J Wang; L Wu; W Tang; Z Zhang Journal: AJNR Am J Neuroradiol Date: 2018-01-25 Impact factor: 3.825
Authors: Alexey Surov; Shuji Nagata; Ahmed A Abd Razek; Sree Harsha Tirumani; Andreas Wienke; Thomas Kahn Journal: Skeletal Radiol Date: 2015-04-28 Impact factor: 2.199
Authors: Antoine Digonnet; Marc Hamoir; Guy Andry; Vincent Vander Poorten; Missak Haigentz; Johannes A Langendijk; Remco de Bree; Michael L Hinni; William M Mendenhall; Vinidh Paleri; Alessandra Rinaldo; Jochen A Werner; Robert P Takes; Alfio Ferlito Journal: Eur Arch Otorhinolaryngol Date: 2012-10-26 Impact factor: 2.503