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Prediction of pathological complete response after neoadjuvant chemotherapy in breast cancer: comparison of diagnostic performances of dedicated breast PET,whole-body PET,and dynamic contrast-enhanced MRI
Authors:Tokuda  Yukiko  Yanagawa  Masahiro  Fujita  Yuka  Honma  Keiichiro  Tanei  Tomonori  Shimoda  Masafumi  Miyake  Tomohiro  Naoi  Yasuto  Kim  Seung Jin  Shimazu   Kenzo  Hamada   Seiki  Tomiyama   Noriyuki
Affiliation:1.Department of Radiology, Osaka University Graduate School of Medicine, 2–2 Yamadaoka, Suita-shi, Osaka, 565–0871, Japan
;2.Department of Pathology, Osaka University Graduate School of Medicine, 2–2 Yamadaoka, Suita-shi, Osaka, 565–0871, Japan
;3.Department of Breast and Endocrine Surgery, Osaka University Graduate School of Medicine, 2–2 Yamadaoka, Suita-shi, Osaka, 565–0871, Japan
;4.MI Clinic, 1-12-13 Shoji, Toyonaka-shi, Osaka, 560–0004, Japan
;
Abstract:Purpose

To compare the diagnostic performance of ring-type dedicated breast PET (dbPET), whole-body PET (WBPET), and DCE-MRI for predicting pathological complete response (pCR) after neoadjuvant chemotherapy (NAC).

Methods

This prospective study included 29 women with histologically proven breast cancer on needle biopsy between July 2016 and July 2019 (age: mean 55 years; range 35–78). Patients underwent WBPET followed by ring-type dbPET and DCE-MRI pre- and post-NAC for preoperative evaluation. pCR was defined as an invasive tumor that disappeared in the breast. Standardized uptake values corrected for lean body mass (SULpeak) were calculated for dbPET and WBPET scans. Maximum tumor length was measured in DCE-MRI images.

Reduction rates were calculated for quantitative evaluation. Two radiologists independently evaluated the qualitative findings. Reduction rates and qualitative findings were compared between the pCR (n?=?7) and non-pCR (n?=?22) groups for each modality. Differences in quantitative and qualitative data between the two groups were analyzed statistically.

Results

Significant differences were observed in the reduction rates of dbPET and DCE-MRI (P?=?0.01 and 0.03, respectively) between the two groups. Univariate and multiple logistic regression analyses revealed that SULpeak reduction rates in WBPET and dbPET (P?=?0.02 and P?=?0.01, respectively) and in dbPET (odds ratio, 16.00; 95% CI 1.57–162.10; P?=?0.01) were significant indicators associated with pCR, respectively. No between-group differences were observed in qualitative findings in the three modalities.

Conclusion

SULpeak reduction rate of dbPET?>?82% was an independent indicator associated with pCR after NAC in breast cancer.

Keywords:
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