Literature DB >> 12963218

Differentiating between atypical adenomatous hyperplasia and bronchioloalveolar carcinoma using the computed tomography number histogram.

Hiroaki Nomori1, Takashi Ohtsuka, Tsuguo Naruke, Keiichi Suemasu.   

Abstract

BACKGROUND: Both atypical adenomatous hyperplasia (AAH) and bronchioloalveolar carcinoma (BAC) appear as ground glass opacity (GGO) lesions by computed tomography (CT) and are sometimes difficult to differentiate. To aid distinction between the two, we examined their CT number histograms.
METHODS: Histograms of pixel CT numbers were made for AAH (n = 9) and nonmucinous BAC (n = 8), and the peak and mean CT numbers on the histogram were quantified.
RESULTS: Although there was no significant difference in lesion size between AAH and BAC, all AAHs were less than or equal to 1 cm in diameter. All AAHs and BACs manifested one histogram peak. Both the peak and mean CT numbers on the histogram were significantly lower for AAH than for BAC (p < 0.001). However, the degree of overlap between AAH and BAC was less for the peak CT number than for the mean CT number.
CONCLUSIONS: The peak CT number on the histogram can help the radiologic differentiation between AAH and BAC. GGO lesions less than or equal to 1 cm in diameter that are diagnosed as AAH from the CT number histogram can be safely followed by CT.

Entities:  

Mesh:

Year:  2003        PMID: 12963218     DOI: 10.1016/s0003-4975(03)00729-x

Source DB:  PubMed          Journal:  Ann Thorac Surg        ISSN: 0003-4975            Impact factor:   4.330


  27 in total

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Review 2.  High-resolution computed tomography of the lungs: the borderlands of normality.

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Journal:  Eur Radiol       Date:  2005-12-16       Impact factor: 5.315

3.  Predictive CT findings of malignancy in ground-glass nodules on thin-section chest CT: the effects on radiologist performance.

Authors:  Hyun Ju Lee; Jin Mo Goo; Chang Hyun Lee; Chang Min Park; Kwang Gi Kim; Eun-Ah Park; Ho Yun Lee
Journal:  Eur Radiol       Date:  2008-10-17       Impact factor: 5.315

4.  Tumor invasiveness defined by IASLC/ATS/ERS classification of ground-glass nodules can be predicted by quantitative CT parameters.

Authors:  Qian-Jun Zhou; Zhi-Chun Zheng; Yong-Qiao Zhu; Pei-Ji Lu; Jia Huang; Jian-Ding Ye; Jie Zhang; Shun Lu; Qing-Quan Luo
Journal:  J Thorac Dis       Date:  2017-05       Impact factor: 2.895

5.  Noninvasive characterization of the histopathologic features of pulmonary nodules of the lung adenocarcinoma spectrum using computer-aided nodule assessment and risk yield (CANARY)--a pilot study.

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Review 6.  Small peripheral lung adenocarcinoma: clinicopathological features and surgical treatment.

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7.  Pulmonary ground-glass nodules diagnosis: mean change rate of peak CT number as a discriminative factor of pathology during a follow-up.

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8.  Incremental value of contrast enhanced computed tomography on diagnostic accuracy in evaluation of small pulmonary ground glass nodules.

Authors:  Ming Li; Feng Gao; Jayender Jagadeesan; Ritu R Gill; Yanqing Hua; Xiangpeng Zheng
Journal:  J Thorac Dis       Date:  2015-09       Impact factor: 2.895

9.  Radiomics signature: a biomarker for the preoperative discrimination of lung invasive adenocarcinoma manifesting as a ground-glass nodule.

Authors:  Li Fan; MengJie Fang; ZhaoBin Li; WenTing Tu; ShengPing Wang; WuFei Chen; Jie Tian; Di Dong; ShiYuan Liu
Journal:  Eur Radiol       Date:  2018-07-02       Impact factor: 5.315

10.  Kurtosis and skewness assessments of solid lung nodule density histograms: differentiating malignant from benign nodules on CT.

Authors:  Ayano Kamiya; Sadayuki Murayama; Hisashi Kamiya; Tsuneo Yamashiro; Yasuji Oshiro; Nobuyuki Tanaka
Journal:  Jpn J Radiol       Date:  2013-11-19       Impact factor: 2.374

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