Literature DB >> 22072286

Measurement of SUVmax plus ADCmin of the primary tumour is a predictor of prognosis in patients with cervical cancer.

Keiichiro Nakamura1, Ikuo Joja, Junichi Kodama, Atsushi Hongo, Yuji Hiramatsu.   

Abstract

PURPOSE: The objectives of this study were to determine if measurements of the maximum standardized uptake value (SUVmax) by positron emission tomography/computed tomography and minimum apparent diffusion coefficient (ADCmin) by magnetic resonance imaging are correlated with the clinical characteristics and prognosis of primary cervical cancer.
METHODS: The correlations between biological parameters and prognosis and SUVmax and ADCmin of the primary tumour were determined in 66 patients with cervical cancer before radiotherapy or concurrent chemoradiotherapy.
RESULTS: There were significant correlations between SUVmax of the primary tumour and FIGO stage (p = 0.036), tumour maximum size (p = 0.018) and pelvic lymph node metastasis (p = 0.044). The median durations of disease-free survival (DFS) and overall survival (OS) were 16.1 and 19.2 months, respectively. The DFS and OS of patients exhibiting high SUVmax of the primary tumour were significantly lower than those of patients exhibiting low SUVmax of the primary tumour (p = 0.0171 and p = 0.0367). The OS of patients exhibiting low ADCmin of the primary tumour was significantly lower than that of patients exhibiting high ADCmin of the primary tumour (p = 0.0376). The DFS and OS of patients exhibiting high SUVmax together with low ADCmin of the primary tumour were significantly lower (p = 0.003 and p = 0.001). Multivariate analyses showed that high SUVmax together with low ADCmin of the primary tumour was an independent prognostic factor for both DFS (p = 0.0030) and OS (p = 0.0036).
CONCLUSION: High SUVmax together with low ADCmin of the primary tumour is an important predictive factor for identifying patients with cervical cancer who have a poor prognosis.

Entities:  

Mesh:

Substances:

Year:  2011        PMID: 22072286     DOI: 10.1007/s00259-011-1978-7

Source DB:  PubMed          Journal:  Eur J Nucl Med Mol Imaging        ISSN: 1619-7070            Impact factor:   9.236


  40 in total

1.  FDG-PET in radiotherapy treatment planning: Pandora's box?

Authors:  Arnold C Paulino; Peter A S Johnstone
Journal:  Int J Radiat Oncol Biol Phys       Date:  2004-05-01       Impact factor: 7.038

Review 2.  Cervical lymph nodes.

Authors:  Martin G Mack; Jörg Rieger; Mehran Baghi; Sotirios Bisdas; Thomas J Vogl
Journal:  Eur J Radiol       Date:  2008-03-11       Impact factor: 3.528

Review 3.  Combined PET-CT in the head and neck: part 2. Diagnostic uses and pitfalls of oncologic imaging.

Authors:  Melanie B Fukui; Todd M Blodgett; Carl H Snyderman; Jonas J Johnson; Eugene N Myers; Dave W Townsend; Carolyn C Meltzer
Journal:  Radiographics       Date:  2005 Jul-Aug       Impact factor: 5.333

4.  The predictive value of measurement of SUVmax and SCC-antigen in patients with pretreatment of primary squamous cell carcinoma of cervix.

Authors:  Keiichiro Nakamura; Yoshihiro Okumura; Junichi Kodama; Atsushi Hongo; Susumu Kanazawa; Yuji Hiramatsu
Journal:  Gynecol Oncol       Date:  2010-06-26       Impact factor: 5.482

5.  Malignant supratentorial astrocytoma treated with postoperative radiation therapy: prognostic value of pretreatment quantitative diffusion-weighted MR imaging.

Authors:  Ryuji Murakami; Takeshi Sugahara; Hideo Nakamura; Toshinori Hirai; Mika Kitajima; Yoshiko Hayashida; Yuji Baba; Natsuo Oya; Jun-Ichi Kuratsu; Yasuyuki Yamashita
Journal:  Radiology       Date:  2007-03-13       Impact factor: 11.105

6.  Tumors in pediatric patients at diffusion-weighted MR imaging: apparent diffusion coefficient and tumor cellularity.

Authors:  Paul D Humphries; Neil J Sebire; Marilyn J Siegel; Øystein E Olsen
Journal:  Radiology       Date:  2007-10-19       Impact factor: 11.105

7.  Role of diffusion-weighted magnetic resonance imaging for predicting of tumor invasiveness for clinical stage IA non-small cell lung cancer.

Authors:  Naoki Kanauchi; Hiroyuki Oizumi; Tsuguo Honma; Hirohisa Kato; Makoto Endo; Jun Suzuki; Ken Fukaya; Mitsuaki Sadahiro
Journal:  Eur J Cardiothorac Surg       Date:  2009-02-11       Impact factor: 4.191

8.  Apparent diffusion coefficients of benign and malignant salivary gland tumors. Comparison to histopathological findings.

Authors:  N Matsushima; M Maeda; M Takamura; K Takeda
Journal:  J Neuroradiol       Date:  2007-07       Impact factor: 3.447

9.  Diffusion-weighted MRI in cervical cancer.

Authors:  Patrick Z McVeigh; Aejaz M Syed; Michael Milosevic; Anthony Fyles; Masoom A Haider
Journal:  Eur Radiol       Date:  2008-01-12       Impact factor: 5.315

10.  Prognostic factors and operative treatment of stages IB to IIB cervical cancer.

Authors:  E Burghardt; H Pickel; J Haas; M Lahousen
Journal:  Am J Obstet Gynecol       Date:  1987-04       Impact factor: 8.661

View more
  19 in total

1.  Staging, recurrence and follow-up of uterine cervical cancer using MRI: Updated Guidelines of the European Society of Urogenital Radiology after revised FIGO staging 2018.

Authors:  Lucia Manganaro; Yulia Lakhman; Nishat Bharwani; Benedetta Gui; Silvia Gigli; Valeria Vinci; Stefania Rizzo; Aki Kido; Teresa Margarida Cunha; Evis Sala; Andrea Rockall; Rosemarie Forstner; Stephanie Nougaret
Journal:  Eur Radiol       Date:  2021-04-14       Impact factor: 5.315

2.  Prognostic model based on magnetic resonance imaging, whole-tumour apparent diffusion coefficient values and HPV genotyping for stage IB-IV cervical cancer patients following chemoradiotherapy.

Authors:  Gigin Lin; Lan-Yan Yang; Yu-Chun Lin; Yu-Ting Huang; Feng-Yuan Liu; Chun-Chieh Wang; Hsin-Ying Lu; Hsin-Ju Chiang; Yu-Ruei Chen; Ren-Chin Wu; Koon-Kwan Ng; Ji-Hong Hong; Tzu-Chen Yen; Chyong-Huey Lai
Journal:  Eur Radiol       Date:  2018-07-26       Impact factor: 5.315

3.  Volumetric assessment of apparent diffusion coefficient predicts outcome following chemoradiation for cervical cancer.

Authors:  Jennifer C Ho; Penny Fang; Carlos E Cardenas; Abdallah S R Mohamed; Clifton D Fuller; Pamela K Allen; Priya R Bhosale; Michael M Frumovitz; Anuja Jhingran; Ann H Klopp
Journal:  Radiother Oncol       Date:  2019-03-11       Impact factor: 6.280

4.  Integrated PET/MRI for whole-body staging of patients with primary cervical cancer: preliminary results.

Authors:  Johannes Grueneisen; Benedikt Michael Schaarschmidt; Martin Heubner; Bahriye Aktas; Sonja Kinner; Michael Forsting; Thomas Lauenstein; Verena Ruhlmann; Lale Umutlu
Journal:  Eur J Nucl Med Mol Imaging       Date:  2015-07-22       Impact factor: 9.236

5.  Texture analysis versus conventional MRI prognostic factors in predicting tumor response to neoadjuvant chemotherapy in patients with locally advanced cancer of the uterine cervix.

Authors:  Maria Ciolina; Valeria Vinci; Laura Villani; Silvia Gigli; Matteo Saldari; Pierluigi Benedetti Panici; Giorgia Perniola; Andrea Laghi; Carlo Catalano; Lucia Manganaro
Journal:  Radiol Med       Date:  2019-06-28       Impact factor: 3.469

6.  MRI outcome evaluation in patients with IB2 and IIA2 squamous cervical cancer stages: preliminary results.

Authors:  Qingling Song; Huiting Pang; Rui Tong; Yanmei Zhu; Yahong Luo; Tao Yu; Fan Liu; Yue Dong
Journal:  Insights Imaging       Date:  2022-09-16

7.  Anatomical and functional volume concordance between FDG PET, and T2 and diffusion-weighted MRI for cervical cancer: a hybrid PET/MR study.

Authors:  Hongzan Sun; Jun Xin; Shaomin Zhang; Qiyong Guo; Yueyue Lu; Wei Zhai; Long Zhao; Weiai Peng; Baijun Wang
Journal:  Eur J Nucl Med Mol Imaging       Date:  2014-01-25       Impact factor: 9.236

8.  The preoperative SUVmax is superior to ADCmin of the primary tumour as a predictor of disease recurrence and survival in patients with endometrial cancer.

Authors:  Keiichiro Nakamura; Ikuo Joja; Chikako Fukushima; Tomoko Haruma; Chiaki Hayashi; Tomoyuki Kusumoto; Noriko Seki; Atsushi Hongo; Yuji Hiramatsu
Journal:  Eur J Nucl Med Mol Imaging       Date:  2012-09-12       Impact factor: 9.236

Review 9.  Functional imaging to predict tumor response in locally advanced cervical cancer.

Authors:  Tara D Barwick; Alexandra Taylor; Andrea Rockall
Journal:  Curr Oncol Rep       Date:  2013-12       Impact factor: 5.075

10.  Correlations between functional imaging markers derived from PET/CT and diffusion-weighted MRI in diffuse large B-cell lymphoma and follicular lymphoma.

Authors:  Xingchen Wu; Hannu Pertovaara; Pasi Korkola; Prasun Dastidar; Ritva Järvenpää; Hannu Eskola; Pirkko-Liisa Kellokumpu-Lehtinen
Journal:  PLoS One       Date:  2014-01-15       Impact factor: 3.240

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.