Evidence map›Paper›PMID 29512735›Full record

ArticleOncology reports2018

The role of molecular breast imaging in predicting complete tumor response to treatment and residual tumor extent following neoadjuvant therapy.

Susanna Nuvoli, Sarah Galassi, Ilaria Gelo, Gaia Rocchitta, Alessandro Fancellu, Pier Andrea Serra, Giuseppe Madeddu, Angela Spanu

Abstract read
In one paragraph

Article in Oncology reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Susanna NuvoliUnit of Nuclear Medicine, Department of Clinical and Experimental Medicine, University of Sassari, I‑07100 Sassari, Italy.
Sarah GalassiUnit of Nuclear Medicine, Department of Clinical and Experimental Medicine, University of Sassari, I‑07100 Sassari, Italy.
Ilaria GeloUnit of Nuclear Medicine, Department of Clinical and Experimental Medicine, University of Sassari, I‑07100 Sassari, Italy.
Gaia RocchittaUnit of Pharmacology, Department of Clinical and Experimental Medicine, University of Sassari, I‑07100 Sassari, Italy.
Alessandro FancelluUnit of Surgery, Department of Clinical and Experimental Medicine, University of Sassari, I‑07100 Sassari, Italy.
Pier Andrea SerraUnit of Pharmacology, Department of Clinical and Experimental Medicine, University of Sassari, I‑07100 Sassari, Italy.
Giuseppe MadedduUnit of Nuclear Medicine, Department of Clinical and Experimental Medicine, University of Sassari, I‑07100 Sassari, Italy.
Angela SpanuUnit of Nuclear Medicine, Department of Clinical and Experimental Medicine, University of Sassari, I‑07100 Sassari, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of the present study was to investigate the usefulness of molecular breast imaging (MBI) in predicting complete tumor response to treatment and residual tumor extent following neoadjuvant therapy. A consecutive series of 43 female patients with large or locally advanced primary breast cancer, scheduled for surgery following neoadjuvant therapy, was retrospectively reviewed. Prior to surgery, all patients underwent MBI using a high‑resolution semiconductor‑based device for image acquisition. MBI data were correlated with surgical histopathological findings. Spearman's correlation coefficient was calculated to assess differences in residual tumor size with MBI and histopathological examination. From the images obtained using MBI, 7 patients were negative for residual tumors with pathological complete response (specificity, 100%) and positive in 34/36 patients with residual disease (sensitivity, 94.4%), including 26/27 patients with unifocal and 8/9 patients with multicentric/multifocal tumors, 5 of which exhibited multiple microscopic foci scattered in a fibrotic area. Overall accuracy was 95.3% and the positive predictive value (PPV) and negative predictive value (NPV) were 100 and 77.8%, respectively. MBI was false‑negative in one patient with a 2.5‑cm invasive ductal carcinoma located close to the chest wall and in one patient with microscopic foci of epithelial carcinoma. In the patients with unifocal residual tumors, correlation of tumor size between MBI and histopathology was r=0.981 (P<0.0001); however, MBI overestimated the number of lesions in one of these cases. In the patients with multifocal/multicentric tumors, MBI adequately assessed residual tumor extent in 5/8 positive cases, overestimating the number of lesions in one case and underestimating tumor extent in 2 further cases with microscopic foci scattered in a fibrotic area. MBI proved to be a highly accurate diagnostic tool in predicting complete tumor response to neoadjuvant therapy and residual tumor extent, correlating with surgical histopathological findings in 86% of overall cases. A positive result was always associated with the presence of residual disease and MBI tumor size was strongly correlated with histopathological analysis mainly in unifocal residual tumors.

Indexed as

Breast NeoplasmsFemaleHumansMolecular ImagingNeoadjuvant TherapyNeoplasm, ResidualPredictive Value of TestsRadionuclide ImagingRetrospective StudiesTreatment Outcome

Identifiers

PMID29512735
PMCPMC5928762

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