BACKGROUND: This study aimed to estimate the value of a morphological feature on ultrasound (US) for preoperative diagnosis of axillary lymph node (ALN) status in patients with early-stage invasive breast cancer (ESIBC). METHODS: In this retrospective work, a total of 239 ESIBC patients, were recruited, and their preoperative US images and postoperative pathology results were collected. The relationship between US images based on morphological features and ALN metastasis was investigated. The tumor circularity and US-reported ALN status were developed as a nomogram to predict the ALN status. RESULTS: Among the 239 participants, 82 (34.31%) had ALN metastasis, and 157 (65.69%) did not. There was a statistically significant difference in tumors between participants diagnosed with and without ALN metastasis. The median value was 0.47 vs. 0.62 (P<0.001) in the training group, respectively, and the value was 0.50 vs. 0.60 (P<0.001) in the validation group, respectively. The clinical model nomogram was shown to have high efficiency in predicting ALN status among our research population. The area under the curve (AUC) was 0.89 in the training group and 0.90 in the validation group and the accuracy was 85.79% and 81.63%, respectively. CONCLUSIONS: The clinical model nomogram based on tumor circularity and US-reported ALN status is a non-invasive approach for ALN metastasis prediction in ESIBC patients with high efficacy. 2021 Quantitative Imaging in Medicine and Surgery. All rights reserved.
BACKGROUND: This study aimed to estimate the value of a morphological feature on ultrasound (US) for preoperative diagnosis of axillary lymph node (ALN) status in patients with early-stage invasive breast cancer (ESIBC). METHODS: In this retrospective work, a total of 239 ESIBC patients, were recruited, and their preoperative US images and postoperative pathology results were collected. The relationship between US images based on morphological features and ALN metastasis was investigated. The tumor circularity and US-reported ALN status were developed as a nomogram to predict the ALN status. RESULTS: Among the 239 participants, 82 (34.31%) had ALN metastasis, and 157 (65.69%) did not. There was a statistically significant difference in tumors between participants diagnosed with and without ALN metastasis. The median value was 0.47 vs. 0.62 (P<0.001) in the training group, respectively, and the value was 0.50 vs. 0.60 (P<0.001) in the validation group, respectively. The clinical model nomogram was shown to have high efficiency in predicting ALN status among our research population. The area under the curve (AUC) was 0.89 in the training group and 0.90 in the validation group and the accuracy was 85.79% and 81.63%, respectively. CONCLUSIONS: The clinical model nomogram based on tumor circularity and US-reported ALN status is a non-invasive approach for ALN metastasis prediction in ESIBC patients with high efficacy. 2021 Quantitative Imaging in Medicine and Surgery. All rights reserved.
Entities:
Keywords:
Breast neoplasms; lymphatic metastasis; tumor shape; ultrasound
Authors: Deepak G Bedi; Rajesh Krishnamurthy; Savitri Krishnamurthy; Beth S Edeiken; Huong Le-Petross; Bruno D Fornage; Roland L Bassett; Kelly K Hunt Journal: AJR Am J Roentgenol Date: 2008-09 Impact factor: 3.959
Authors: Kathryn L Humphrey; Mansi A Saksena; Phoebe E Freer; Barbara L Smith; Elizabeth A Rafferty Journal: Radiographics Date: 2014 Nov-Dec Impact factor: 5.333
Authors: Gary H Lyman; Sarah Temin; Stephen B Edge; Lisa A Newman; Roderick R Turner; Donald L Weaver; Al B Benson; Linda D Bosserman; Harold J Burstein; Hiram Cody; James Hayman; Cheryl L Perkins; Donald A Podoloff; Armando E Giuliano Journal: J Clin Oncol Date: 2014-03-24 Impact factor: 44.544
Authors: Diego M Marzese; Maggie L DiNome; Miquel Ensenyat-Mendez; Dennis Rünger; Javier I J Orozco; Julie Le; Jennifer L Baker; Joanne Weidhaas Journal: Ann Surg Oncol Date: 2022-04-09 Impact factor: 5.344