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Respiratory system
Published in A Stewart Whitley, Jan Dodgeon, Angela Meadows, Jane Cullingworth, Ken Holmes, Marcus Jackson, Graham Hoadley, Randeep Kumar Kulshrestha, Clark’s Procedures in Diagnostic Imaging: A System-Based Approach, 2020
A Stewart Whitley, Jan Dodgeon, Angela Meadows, Jane Cullingworth, Ken Holmes, Marcus Jackson, Graham Hoadley, Randeep Kumar Kulshrestha
Ultrasound (with the advent of high-resolution transducers) has become a mainstay of investigation of neck masses – see GI tract. Ultrasound can detect lymph nodes with greater sensitivity than clinical palpation and may be able to suggest the likelihood of malignancy. It may also differentiate lymph nodes from other neck masses such as salivary gland tumour. Most importantly, suspicious nodes can be subjected to biopsy or fine-needle aspiration (FNA) to establish a diagnosis of malignancy and stage the disease. Ultrasound has no useful role in assessment of the trachea.
Machine Learning Model for Breast Cancer Data Analysis Using Triplet Feature Selection Algorithm
Published in IETE Journal of Research, 2023
Dhivya P., Bazilabanu A., Thirumalaikolundusubramanian Ponniah
Breast cancer is a vulnerable disease in women and is observed often in the age group of 50 years and above. Initially, breast cancer was identified by the self-examination of breast mass changes and early health-seeking behavior. Survival from breast cancer has altogether improved due to early recognition and the institution of appropriate therapeutic care [1]. In olden days, the physicians used to analyze the breast cells and growth manually. Breast self-exam is a screening process for women with a typical threat of breast cancer. The size, shape, visible distortion and color are used to examine breast cancer [2]. Various processes are carried out by medical professionals to diagnose breast cancer, such as Fine Needle Aspiration Cytology (FNAC), biopsy, Breast Cancergene (BRCA), Bio marker and radiological examination.
Radar reflector guided axillary surgery in node positive breast cancer patients
Published in Expert Review of Medical Devices, 2022
Joshua A. Feinberg, Deborah Axelrod, Amber Guth, Leonel Maldonado, Farbod Darvishian, Nakisa Pourkey, Jenny Goodgal, Freya Schnabel
Our Institutional Review Board-approved Breast Cancer Database was queried for patients diagnosed with breast cancer, between December 2017 and December 2020, who underwent preoperative placement of a radar reflector into an axillary lymph node. All patients were required to complete informed consent prior to enrollment in the database. Clinicopathologic as well as surgical data were collected from the electronic medical record. All patients underwent fine needle-aspiration or core needle biopsy with placement of a biopsy clip into the metastatic or suspicious appearing axillary lymph node. A radar reflector was subsequently placed adjacent to the clip to facilitate localization and excision of the axillary node at the time of surgery. The localizer device used in this study was the SAVI SCOUT® system.
Exploring deep learning networks for tumour segmentation in infrared images
Published in Quantitative InfraRed Thermography Journal, 2020
Siva Teja Kakileti, Aman Dalmia, Geetha Manjunath
Tumour localisation or tumour segmentation is a crucial task for any computer-aided cancer diagnosis and treatment. Tumour localisation can assist the physicians to study the shape, size, tumour contour and intensity of the region visually. It would also help the physician to directly focus on the predicted segmentation regions instead of manual look-up of the entire image consisting of thousands of pixels. The localisation is further needed for quick follow-up with other diagnostic techniques like ultrasonography before making the final conclusion. For fine needle aspiration cytology (FNAC), lumpectomy or other biopsy procedures that could help in understanding the pathology of the tumour, the exact location of the tumour is required to perform the excision. Before the initiation of any therapy like radiotherapy, tumour localisation helps in accurately concentrating the high-energy rays on the tumour and thereby saving the surrounding healthy tissue from radiation damage.