3D analysis of apparent diffusion coefficient histograms in hepatocellular carcinoma: correlation with histological grade. Issue 1 (December 2017)
- Record Type:
- Journal Article
- Title:
- 3D analysis of apparent diffusion coefficient histograms in hepatocellular carcinoma: correlation with histological grade. Issue 1 (December 2017)
- Main Title:
- 3D analysis of apparent diffusion coefficient histograms in hepatocellular carcinoma: correlation with histological grade
- Authors:
- Moriya, Tomohisa
Saito, Kazuhiro
Tajima, Yu
Harada, Taiyo
Araki, Yoichi
Sugimoto, Katsutoshi
Tokuuye, Koichi - Abstract:
- Abstract Background To evaluate the usefulness of differentiation of histological grade in hepatocellular carcinoma (HCC) using three-dimensional (3D) analysis of apparent diffusion coefficient (ADC) histograms retrospectively. Methods The subjects consisted of 53 patients with 56 HCCs. The subjects included 12 well-differentiated, 35 moderately differentiated, and nine poorly differentiated HCCs. Diffusion-weighted imaging (b -values of 100 and 800 s/mm2 ) were obtained within 3 months before surgery. Regions of interest (ROIs) covered the entire tumor. The data acquired from each slice were summated to derive voxel-by-voxel ADCs for the entire tumor. The following parameters were derived from the ADC histogram: mean, standard deviation, minimum, maximum, mode, percentiles (5th, 10th, 25th, 50th, 75th, and 90th), skew, and kurtosis. These parameters were analyzed according to histological grade. After eliminating steatosis lesions, these parameters were re-analyzed. Results A weak correlation was observed in minimum ADC and 5th percentile for each histological grade (r = –0.340 andr = –0.268, respectively). The minimum ADCs of well, moderately, and poorly differentiated HCC were 585 ± 388, 411 ± 278, and 235 ± 102 × 10−6 mm2 /s, respectively. Minimum ADC showed significant differences among tumor histological grades (P = 0.009). The minimum ADC of poorly differentiated HCC and that of combined well and moderately differentiated HCC were 236 ± 102 and 437 ± 299 × 10−6 mm2Abstract Background To evaluate the usefulness of differentiation of histological grade in hepatocellular carcinoma (HCC) using three-dimensional (3D) analysis of apparent diffusion coefficient (ADC) histograms retrospectively. Methods The subjects consisted of 53 patients with 56 HCCs. The subjects included 12 well-differentiated, 35 moderately differentiated, and nine poorly differentiated HCCs. Diffusion-weighted imaging (b -values of 100 and 800 s/mm2 ) were obtained within 3 months before surgery. Regions of interest (ROIs) covered the entire tumor. The data acquired from each slice were summated to derive voxel-by-voxel ADCs for the entire tumor. The following parameters were derived from the ADC histogram: mean, standard deviation, minimum, maximum, mode, percentiles (5th, 10th, 25th, 50th, 75th, and 90th), skew, and kurtosis. These parameters were analyzed according to histological grade. After eliminating steatosis lesions, these parameters were re-analyzed. Results A weak correlation was observed in minimum ADC and 5th percentile for each histological grade (r = –0.340 andr = –0.268, respectively). The minimum ADCs of well, moderately, and poorly differentiated HCC were 585 ± 388, 411 ± 278, and 235 ± 102 × 10−6 mm2 /s, respectively. Minimum ADC showed significant differences among tumor histological grades (P = 0.009). The minimum ADC of poorly differentiated HCC and that of combined well and moderately differentiated HCC were 236 ± 102 and 437 ± 299 × 10−6 mm2 /s. The minimum ADC of poorly differentiated HCC was significantly lower than that of combined well and moderately differentiated HCC (P = 0.001). The sensitivity and specificity, when a minimum ADC of 400 × 10−6 mm2 /s or lower was considered to be poorly differentiated HCC, were 100 and 54%, respectively. After exclusion of the effect of steatosis, the sensitivity and specificity did not change, although the statistical differences became strong (P < 0.0001). Conclusion Minimum ADC was most useful to differentiate poorly differentiated HCC in 3D analysis of ADC histograms. … (more)
- Is Part Of:
- Cancer imaging. Volume 17:Issue 1(2017)
- Journal:
- Cancer imaging
- Issue:
- Volume 17:Issue 1(2017)
- Issue Display:
- Volume 17, Issue 1 (2017)
- Year:
- 2017
- Volume:
- 17
- Issue:
- 1
- Issue Sort Value:
- 2017-0017-0001-0000
- Page Start:
- 1
- Page End:
- 8
- Publication Date:
- 2017-12
- Subjects:
- Hepatocellular carcinoma -- Diffusion-weighted imaging -- ADC histogram -- Histological differentiation
Cancer -- Imaging -- Periodicals
616.994075405 - Journal URLs:
- http://www.cancerimagingjournal.com/ ↗
http://www.cancerimaging.org/ ↗
http://www.ncbi.nlm.nih.gov/pmc/journals/315/ ↗
http://link.springer.com/ ↗ - DOI:
- 10.1186/s40644-016-0103-3 ↗
- Languages:
- English
- ISSNs:
- 1740-5025
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 10127.xml