Morphological segmentation analysis and texture-based support vector machines classification on mice liver fibrosis microscopic images

Background To reduce the intensity of the work of doctors, pre-classification work needs to be issued. In this paper, a novel and related liver microscopic image classification analysis method is proposed. Objective For quantitative analysis, segmentation is carried out to extract the quantitative information of special organisms in the image for further diagnosis, lesion localization, learning and treating anatomical abnormalities and computer-guided surgery. Methods in the current work, entropy based features of microscopic fibrosis mice’ liver images were analyzed using fuzzy c-cluster, k-means and watershed algorithms based on distance transformations and gradient. A morphological segmentation based on a local threshold was deployed to determine the fibrosis areas of images. Results the segmented target region using the proposed method achieved high effective microscopy fibrosis images segmenting of mice liver in terms of the running time, dice ratio and precision. The image classification experiments were conducted using Gray Level Co-occurrence Matrix (GLCM). The best classification model derived from the established characteristics was GLCM which performed the highest accuracy of classification using a developed Support Vector Machine (SVM). The training model using 11 features was found to be as accurate when only trained by 8 GLCMs. Conclusion The research illustrated the proposed method is a new feasible research approach for microscopy mice liver image segmentation and classification using intelligent image analysis techniques. It is also reported that the average computational time of the proposed approach was only 2.335 seconds, which outperformed other segmentation algorithms with 0.8125 dice ratio and 0.5253 precision

Tumor-Infiltrating Lymphocytes in Low-Risk Patients With Breast Cancer Treated With Single-Dose Preoperative Partial Breast Irradiation

Contains fulltext : 232805.pdf (Publisher’s version ) (Open Access)PURPOSE: Preoperative partial breast irradiation (PBI) has the potential to induce tumor regression. We evaluated the differences in the numbers of preirradiation tumor infiltrating lymphocytes (TILs) between responders and nonresponders after preoperative PBI in low-risk patients with breast cancer. Furthermore, we evaluated the change in number of TILs before and after irradiation. METHODS AND MATERIALS: In the prospective ABLATIVE study, low-risk patients with breast cancer underwent treatment with single-dose preoperative PBI (20 Gy) to the tumor and breast-conserving surgery after 6 or 8 months. In the preirradiation diagnostic biopsy and postirradiation resection specimen, numbers of TILs in 3 square regions of 450 x 450 mum were counted manually. TILs were visualized with CD3, CD4, and CD8 immunohistochemistry. Differences in numbers of preirradiation TILs between responders and nonresponders were tested using Mann-Whitney U test. Responders were defined as pathologic complete or near-complete response, and nonresponders were defined "as all other response." Changes in numbers of TILs after preoperative PBI was evaluated with the Wilcoxon signed rank test. RESULTS: Preirradiation tissue was available from 28 patients, postirradiation tissue from 29 patients, resulting in 22 pairs of preirradiation and postirradiation tissue. In these 35 patients, 15 had pathologic complete response (43%), 11 had a near-complete response (31%), 7 had a partial response (20%), and 2 had stable disease (6%). The median numbers of CD3(+) TILs, CD4(+) TILs, and CD8(+) TILs in the preirradiation tumor tissue were 49 (interquartile range [IQR], 36-80), 45 (IQR, 28-57), and 19 (IQR, 8-35), respectively. The number of preirradiation TILs did not differ significantly between responders and nonresponders. The median numbers of CD3(+) TILs, CD4(+) TILs, and CD8(+) TILs in postirradiation tumor tissue were 17 (IQR, 13-31), 26 (IQR, 16-35), and 7 (IQR, 5-11), respectively. CONCLUSIONS: After preoperative PBI in this limited cohort, the number of TILs in tumor tissue decreased. No differences in numbers of preirradiation TILs between responders and nonresponders were observed

Dynamic Contrast-enhanced and Diffusion-weighted Magnetic Resonance Imaging for Response Evaluation After Single-Dose Ablative Neoadjuvant Partial Breast Irradiation

PURPOSE: We aimed to evaluate changes in dynamic contrast-enhanced (DCE) and diffusion-weighted (DW) magnetic resonance imaging (MRI) scans acquired before and after single-dose ablative neoadjuvant partial breast irradiation (NA-PBI), and explore the relation between semiquantitative MRI parameters and radiologic and pathologic responses. METHODS AND MATERIALS: We analyzed 3.0T DCE and DW-MRI of 36 patients with low-risk breast cancer who were treated with single-dose NA-PBI, followed by breast-conserving surgery 6 or 8 months later. MRI was acquired before NA-PBI and 1 week, 2, 4, and 6 months after NA-PBI. Breast radiologists assessed the radiologic response and breast pathologists scored the pathologic response after surgery. Patients were grouped as either pathologic responders or nonresponders (<10% vs ≥10% residual tumor cells). The semiquantitative MRI parameters evaluated were time to enhancement (TTE), 1-minute relative enhancement (RE(1min)), percentage of enhancing voxels (%EV), distribution of washout curve types, and apparent diffusion coefficient (ADC). RESULTS: In general, the enhancement increased 1 week after NA-PBI (baseline vs 1 week median - TTE: 15s vs 10s; RE(1min): 161% vs 197%; %EV: 47% vs 67%) and decreased from 2 months onward (6 months median - TTE: 25s; RE(1min): 86%; %EV: 12%). Median ADC increased from 0.83 × 10(-3) mm(2)/s at baseline to 1.28 × 10(-3) mm(2)/s at 6 months. TTE, RE(1min), and %EV showed the most potential to differentiate between radiologic responses, and TTE, RE(1min), and ADC between pathologic responses. CONCLUSIONS: Semiquantitative analyses of DCE and DW-MRI showed changes in relative enhancement and ADC 1 week after NA-PBI, indicating acute inflammation, followed by changes indicating tumor regression from 2 to 6 months after radiation therapy. A relation between the MRI parameters and radiologic and pathologic responses could not be proven in this exploratory study

Tumor Response After Neoadjuvant Magnetic Resonance Guided Single Ablative Dose Partial Breast Irradiation

Contains fulltext : 219916.pdf (Publisher’s version ) (Closed access)PURPOSE: To assess the pathologic and radiologic response in patients with low-risk breast cancer treated with magnetic resonance (MR) guided neoadjuvant partial breast irradiation (NA-PBI) and to evaluate toxicity and patient-reported outcomes (PROs). METHODS AND MATERIALS: For this single-arm prospective trial, women with unifocal, non-lobular tumors with a maximum diameter of 20 mm (age, 50-70 years) or 30 mm (age, >/=70 years) and tumor-negative sentinel node(s) were eligible. Patients were treated with a single ablative dose of NA-PBI followed by breast-conserving surgery after an interval of 6 to 8 months. Target volumes were defined on radiation therapy planning computed tomography scan and additional magnetic resonance imaging. Prescribed doses to gross tumor volume and clinical target volume (gross tumor volume plus 20 mm margin) were 20 Gy and 15 Gy, respectively. Primary outcome was pathologic complete response (pCR). Secondary outcomes were radiologic response (on magnetic resonance imaging), toxicity (Common Terminology Criteria for Adverse Events), PROs (European Organisation for Research and Treatment of Cancer QLQ-BR23, Hospital Anxiety and Depression Scale), and cosmesis (assessed by patient, radiation oncologist, and BCCT.core software). RESULTS: Thirty-six patients were treated with NA-PBI, and pCR was reported in 15 patients (42%; 95% confidence interval, 26%-59%). Radiologic complete response was observed in 15 patients, 10 of whom had pCR (positive predictive value, 67%; 95% confidence interval, 39%-87%). After a median follow-up of 21 months (range, 12-41), all patients experienced grade 1 fibrosis in the treated breast volume. Transient grade 2 and 3 toxicity was observed in 31% and 3% of patients, respectively. Local recurrences were absent. No deterioration in PROs or cosmetic results was observed. CONCLUSIONS: NA-PBI has the potential to induce pCR in a substantial proportion of patients, with acceptable toxicity. This treatment seems a feasible alternative to standard postoperative irradiation and could even result in postponement or omission of surgery if pCR can be accurately predicted in selected low-risk patients