AI Article Synopsis
Article Abstract
Objectives: To investigate the value of the whole-lesion histogram apparent diffusion coefficient (ADC) metrics for differentiating low-risk from non-low-risk ductal carcinoma in situ (DCIS).
Methods: The authors identified 93 women with pure DCIS who had undergone preoperative MR imaging and diffusion-weighted imaging from 2013 to 2016. Histogram analysis of pixel-based ADC data of the whole tumour volume was performed by two radiologists using a software tool. The results were compared between low-risk and non-low-risk DCIS. Associations between quantitative ADC metrics and low-risk DCIS were evaluated by receiver operating characteristics (ROC) curve and logistic regression analyses.
Results: In whole-lesion histogram analysis, mean ADC and 5th, 50th and 95th percentiles of ADC were significantly different between low-risk and non-low-risk DCIS (1.522, 1.207, 1.536 and 1.854 × 10 mm/s versus 1.270, 0.917, 1.261 and 1.657 × 10 mm/s, respectively; p = .004, p = .003, p = .004 and p = .024, respectively). ROC curve analysis for differentiating low-risk DCIS revealed that 5th percentile ADC yielded the largest area under the curve (0.786) among the metrics of whole-lesion histogram, and the optimal cut-off point was 1.078 × 10 mm/s (sensitivity 80%, specificity 75.9%, p = .001). Multivariate regression analysis revealed that a high 5th percentile of ADC (> 1.078× 10 mm/s; odds ratio [OR] = 10.494, p = .016), small tumour size (≤ 2 cm; OR = 12.692, p = .008) and low Ki-67 status (< 14%; OR = 10.879, p = .046) were significantly associated with low-risk DCIS.
Conclusions: Assessment with whole-lesion histogram analysis of the ADC could be helpful for identifying patients with low-risk DCIS.
Key Points: • Whole-lesion histogram ADC metrics could be helpful for differentiating low-risk from non-low-risk DCIS. • A high 5th percentile ADC was a significant factor associated with low-risk DCIS. • Risk stratification of DCIS is important for their management.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1007/s00330-018-5666-x | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
The Added Value of Apparent Diffusion Coefficient and Histogram Analysis in Assessing Treatment Response of Locally Advanced Cervical Cancer.
J Comput Assist Tomogr
January 2025
From the Diagnostic Radiology Department, Faculty of Medicine, Mansoura University-Egypt, Mansoura, Egypt.
Objective: The aim of the study is to assess the diagnostic performance of quantitative analysis of diffusion-weighted imaging in assessing treatment response in cervical cancer patients.
Methods: A retrospective analysis was done for 50 patients with locally advanced cervical cancer who received concurrent chemoradiotherapy and underwent magnetic resonance imaging and diffusion-weighted imaging. Treatment response was classified into 4 categories according to RECIST criteria 6 months after therapy completion.
The value of multiple diffusion metrics based on whole-lesion histogram analysis in evaluating the subtypes and proliferation status of non-small cell lung cancer.
Front Oncol
October 2024
Department of Radiology, Chongqing University Three Gorges Hospital, Chongqing, China.
Article Synopsis
- The study investigates the use of whole-lesion histogram analysis to differentiate between squamous cell carcinoma (SCC) and adenocarcinoma (AC) in non-small cell lung cancer (NSCLC) using imaging techniques like IVIM and DKI.
- It involves 70 NSCLC patients who underwent imaging scans, and various histogram parameters were calculated and compared between the two cancer subtypes to evaluate their diagnostic effectiveness.
- Results showed significant differences in certain parameters between SCC and AC, with the diffusion coefficient (D) performing best for differentiation, highlighting the potential of these imaging methods in assessing tumor characteristics.
Whole-volume histogram analysis of spectral-computed tomography iodine maps characterizes HER2 expression in gastric cancer.
World J Gastroenterol
October 2024
Department of Radiology, Clinical Oncology School of Fujian Medical University & Fujian Cancer Hospital (Fujian Branch of Fudan University Affiliated Cancer Hospital), Fuzhou 350014, Fujian Province, China.
Article Synopsis
- This study focuses on finding alternative treatments for gastric cancer (GC) patients who cannot undergo surgery, particularly those with HER2 overexpression, which affects how treatment decisions are made.* -
- Researchers analyzed sCT iodine maps from 101 GC patients to see if histogram analysis could predict HER2 status, examining various statistical parameters from these maps.* -
- Results showed that certain histogram parameters were significantly lower in patients with HER2-positive tumors, suggesting the potential of sCT analysis in predicting HER2 status, with a notable area under the curve for the 99th percentile parameter.*
Article Synopsis
- Adrenal CT imaging faces challenges in distinguishing between lipid-poor adrenal adenomas and pheochromocytomas due to overlapping washout characteristics.
- This study involved 53 lesions from 53 patients and utilized CT histogram analysis to identify significant differences in factors like lesion size and peak HU values between the two types.
- Findings suggest that certain CT parameters can effectively differentiate between the two, potentially reducing unnecessary procedures and improving patient management for those with pheochromocytomas, but further validation is needed.
The volumetric ADC histogram analysis in differentiating stage IA endometrial carcinoma from endometrial polyp.
Br J Radiol
May 2024
Department of Radiology, Tianjin First Central Hospital, School of Medicine, Nankai University, Tianjin, 300192, China.
Objective: This study aimed to explore the value of apparent diffusion coefficient (ADC) histogram based on whole lesion volume in distinguishing stage IA endometrial carcinoma from the endometrial polyp.
Methods: MRI of 108 patients with endometrial lesions confirmed by pathology were retrospectively analysed, including 65 cases of stage IA endometrial carcinoma and 43 cases of endometrial polyp. The volumetric ADC histogram metrics and general imaging features were evaluated and measured simultaneously.
Want AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!