Literature DB >> 22767314

MRI volume measurements compared with the RECIST 1.1 for evaluating the response to neoadjuvant chemotherapy for mass-type lesions.

Yeong Yi An1, Sung Hun Kim, Bong Joo Kang, A Won Lee, Byung Joo Song.   

Abstract

BACKGROUND: The purpose of this study was to compare the accuracy of volumetric (3D) measurements with that of unidimensional (1D) measurements by response evaluation criteria in solid tumors 1.1 (RECIST 1.1) in patients with breast cancer before and after neoadjuvant chemotherapy.
METHODS: The study included 48 patients with breast cancer who underwent neoadjuvant chemotherapy. Dynamic contrast-enhanced magnetic resonance imaging was performed before the first cycle of chemotherapy and after the completion of the planned chemotherapy. The longest diameter and volume of each target lesion were measured using a TeraRecon Aquarius workstation (San Mateo, CA). Response was assessed both by using the RECIST 1.1 and volumetric criteria. Histologic response was assessed using the Sataloff criteria. The agreements between the two measures and the histologic response were analyzed statistically.
RESULTS: In monitoring the response to neoadjuvant chemotherapy, the 1D and 3D measurements showed "good agreement" (κ = 0.610) for the treatment response categories and "moderate agreement" (κ = 0.565) for the responder/non-responder categories. Disagreement was observed in 9 out of 48 comparisons (18.75 %). The percent agreement of the 1D measurement of residual lesions (79.17 %) with the pathology was higher than that by volumetric measurement (70.83 %), but there was no statistically significant difference (p = 0.35). Both the 1D (rho = 0.67, p < 0.0001) and 3D measurements (rho = 0.52, p < 0.0001) showed a moderate degree of linear correlation with the pathologic diameter of residual lesions.
CONCLUSION: There was generally good agreement between the 1D and 3D measurements and moderate predictive value using either approach for predicting pathological response.

Entities:  

Mesh:

Substances:

Year:  2012        PMID: 22767314     DOI: 10.1007/s12282-012-0388-4

Source DB:  PubMed          Journal:  Breast Cancer        ISSN: 1340-6868            Impact factor:   4.239


  6 in total

1.  Canine urinary bladder transitional cell carcinoma tumor volume is dependent on imaging modality and measurement technique.

Authors:  Andrew J Leffler; Eric T Hostnik; Emma E Warry; Gregory G Habing; Danelle M Auld; Eric M Green; Wm Tod Drost
Journal:  Vet Radiol Ultrasound       Date:  2018-07-10       Impact factor: 1.363

2.  Feasibility of quantitative and volumetric enhancement measurement to assess tumor response in patients with breast cancer after early neoadjuvant chemotherapy.

Authors:  Jie Ding; Hongyan Xiao; Weiwei Deng; Fengjiao Liu; Rongrong Zhu; Ruoshui Ha
Journal:  J Int Med Res       Date:  2021-03       Impact factor: 1.671

3.  Assessment of Cone-Beam Breast Computed Tomography for Predicting Pathologic Response to Neoadjuvant Chemotherapy in Breast Cancer: A Prospective Study.

Authors:  Shen Chen; Sheng Li; Chunyan Zhou; Ni He; Jieting Chen; Shengting Pei; Jiao Li; Yaopan Wu; Peiqiang Cai
Journal:  J Oncol       Date:  2022-04-29       Impact factor: 4.501

4.  Unidimensional Measurement May Evaluate Target Lymph Nodal Response After Induction Chemotherapy for Nasopharyngeal Carcinoma.

Authors:  Chuanben Chen; Mingwei Zhang; Yuanji Xu; Qiuyuan Yue; Penggang Bai; Lin Zhou; Youping Xiao; Dechun Zheng; Kongqi Lin; Sufang Qiu; Yunbin Chen; Jianji Pan
Journal:  Medicine (Baltimore)       Date:  2016-03       Impact factor: 1.889

5.  Assessment of γ-H2AX and 53BP1 Foci in Peripheral Blood Lymphocytes to Predict Subclinical Hematotoxicity and Response in Somatostatin Receptor-Targeted Radionuclide Therapy for Advanced Gastroenteropancreatic Neuroendocrine Tumors.

Authors:  Thorsten Derlin; Natalia Bogdanova; Fiona Ohlendorf; Dhanya Ramachandran; Rudolf A Werner; Tobias L Ross; Hans Christiansen; Frank M Bengel; Christoph Henkenberens
Journal:  Cancers (Basel)       Date:  2021-03-25       Impact factor: 6.639

6.  Predictive and Prognostic Impact of Blood-Based Inflammatory Biomarkers in Patients with Gastroenteropancreatic Neuroendocrine Tumors Commencing Peptide Receptor Radionuclide Therapy.

Authors:  Fiona Ohlendorf; Rudolf A Werner; Christoph Henkenberens; Tobias L Ross; Hans Christiansen; Frank M Bengel; Thorsten Derlin
Journal:  Diagnostics (Basel)       Date:  2021-03-12
  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.