scholarly journals Estimation of Clinical Size of Breast Tumour Lesions Using Contrast Enhanced Magnetic Resonance Imaging: Delineation of Tumour Boundaries

2021 ◽  
Author(s):  
Manpreet Singh ◽  
Manjesh Dalal ◽  
Gurasis Singh Sodhi

This study covers an extended spectrum of clinical cases (1) to analyze the accurate tumour size, (2) to demarcate accurate tumour boundaries in order to plan an effective target volumes for radiotherapy, thermal ablation including radiofrequency ablation and nanoparticles induced thermal ablation. Once the clinical size of the tumour is established, realistic three-dimensional volume of the tumour can be calculated. Accurate margins (0.5 cm -1 cm) can only be sacrificed if true tumour boundaries with irregular nodal spread can be retrieved.

2021 ◽  
pp. e521
Author(s):  
Anna Grażyńska ◽  
Sofija Antoniuk ◽  
Katarzyna Steinhof-Radwańska

Accurate morphological assessment and measurement of the residual disease following neoadjuvant chemotherapy are vital for the effective surgical treatment in patients with breast cancer. Neoadjuvant chemotherapy response is measured by RECIST 1.1 criteria (Response Evaluation Criteria in Solid Tumors), and the classification of the specific therapeutic responses is based on the difference in the tumour size prior to and after chemotherapy. There are currently a few methods of imaging used in the assessment of the neoadjuvant chemotherapy response. Conventional mammography remains the most popular method, whereas magnetic resonance imaging is considered the most effective ones. Nonetheless, the available methods tend to be imperfect and limited, and therefore, new methods are constantly investigated. Contrast-enhanced spectral mammography is a relatively new method used in breast cancer diagnosis, which involves the phenomenon of neoangiogenesis of cancerous tumours, allowing contrast enhancement in the areas of vessel proliferation in the background of the surrounding breast tissue. Contrast-enhanced spectral mammography presents sensitivity similar to magnetic resonance imaging in breast cancer detection, and can be an efficient method used in monitoring neoadjuvant chemotherapy response.


2004 ◽  
Vol 39 (3) ◽  
pp. 143-148 ◽  
Author(s):  
Christian Fink ◽  
Michael Puderbach ◽  
Sebastian Ley ◽  
Christian Plathow ◽  
Michael Bock ◽  
...  

2021 ◽  
Vol 54 (3) ◽  
pp. 185-192 ◽  
Author(s):  
Mariana Dalaqua ◽  
Felipe Barjud Pereira do Nascimento ◽  
Larissa Kaori Miura ◽  
Fabiano Reis ◽  
Márcio Ricardo Taveira Garcia ◽  
...  

Abstract The cranial nerves, which represent extensions of the functional structures of the brain, traverse the head and neck. They are connected to various cranial structures and are associated with several diseases. An in-depth understanding of their complex anatomy and normal imaging appearance allows the examiner to identify and characterize abnormalities with greater precision. One important tool for evaluating the cranial nerves is contrast-enhanced magnetic resonance imaging, especially three-dimensional steady-state free precession sequences, which provide high soft-tissue and spatial resolution, despite the slenderness of the nerves. In most cases, imaging findings are nonspecific. Therefore, to narrow the differential diagnosis, it is necessary to take a full patient anamnesis, perform a focused physical examination and order laboratory tests. In this pictorial essay we review, illustrate and discuss, from a pathophysiological perspective, congenital, traumatic, and vascular diseases of the cranial nerves.


Author(s):  
A. Niukkanen ◽  
H. Okuma ◽  
M. Sudah ◽  
P. Auvinen ◽  
A. Mannermaa ◽  
...  

AbstractWe aimed to assess the feasibility of three-dimensional (3D) segmentation and to investigate whether semi-quantitative dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) parameters are associated with traditional prognostic factors for breast cancer. In addition, we evaluated whether both intra-tumoural and peri-tumoural DCE parameters can differentiate the breast cancers that are more aggressive from those that are less aggressive. Consecutive patients with newly diagnosed invasive breast cancer and structural breast MRI (3.0 T) were included after informed consent. Fifty-six patients (mean age, 57 years) with mass lesions of > 7 mm in diameter were included. A semi-automatic image post-processing algorithm was developed to measure 3D pharmacokinetic information from the DCE-MRI images. The kinetic parameters were extracted from time-signal curves, and the absolute tissue contrast agent concentrations were calculated with a reference tissue model. Markedly, higher intra-tumoural and peri-tumoural tissue concentrations of contrast agent were found in high-grade tumours (n = 44) compared to low-grade tumours (n = 12) at every time point (P = 0.006–0.040), providing positive predictive values of 90.6–92.6% in the classification of high-grade tumours. The intra-tumoural and peri-tumoural signal enhancement ratios correlated with tumour grade, size, and Ki67 activity. The intra-observer reproducibility was excellent. We developed a model to measure the 3D intensity data of breast cancers. Low- and high-grade tumours differed in their intra-tumoural and peri-tumoural enhancement characteristics. We anticipate that pharmacokinetic parameters will be increasingly used as imaging biomarkers to model and predict tumour behavior, prognoses, and responses to treatment.


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